automated medical records. The report discusses the potential benefits that automation could make to the quality of patient care and the factors that impede...information systems, but no organization has fully automated one of the most critical types of information, patient medical records. The patient medical record...its review of automated medical records. GAO’s objectives in this study were to identify the (1) benefits of automating patient records and (2) factors
Churgin, P G
In May 1993, CIGNA Healthcare of Arizona implemented a comprehensive automated medical record system in a pilot project performed at a primary care clinic in Chandler, Arizona. The system, EpicCare, operates in a client-server environment and completely replaces the paper chart in all phases of medical care. After six months of use by 10 medical providers and a 50-member staff, the system has been approved by clinicians, staff, and patients.
Hogle, G.O.; Grier, R.S.
With the increase in population at the Los Alamos Scientific Laboratory and the growing concern over employee health, especially concerning the effects of the work environment, the Occupational Medicine Group decided to automate its medical record keeping system to meet these growing demands. With this computer system came not only the ability for long-term study of the work environment verses employee health, but other benefits such as more comprehensive records, increased legibility, reduced physician time, and better records management
Long William J
Full Text Available Abstract Background Text-based patient medical records are a vital resource in medical research. In order to preserve patient confidentiality, however, the U.S. Health Insurance Portability and Accountability Act (HIPAA requires that protected health information (PHI be removed from medical records before they can be disseminated. Manual de-identification of large medical record databases is prohibitively expensive, time-consuming and prone to error, necessitating automatic methods for large-scale, automated de-identification. Methods We describe an automated Perl-based de-identification software package that is generally usable on most free-text medical records, e.g., nursing notes, discharge summaries, X-ray reports, etc. The software uses lexical look-up tables, regular expressions, and simple heuristics to locate both HIPAA PHI, and an extended PHI set that includes doctors' names and years of dates. To develop the de-identification approach, we assembled a gold standard corpus of re-identified nursing notes with real PHI replaced by realistic surrogate information. This corpus consists of 2,434 nursing notes containing 334,000 words and a total of 1,779 instances of PHI taken from 163 randomly selected patient records. This gold standard corpus was used to refine the algorithm and measure its sensitivity. To test the algorithm on data not used in its development, we constructed a second test corpus of 1,836 nursing notes containing 296,400 words. The algorithm's false negative rate was evaluated using this test corpus. Results Performance evaluation of the de-identification software on the development corpus yielded an overall recall of 0.967, precision value of 0.749, and fallout value of approximately 0.002. On the test corpus, a total of 90 instances of false negatives were found, or 27 per 100,000 word count, with an estimated recall of 0.943. Only one full date and one age over 89 were missed. No patient names were missed in either
As home care agencies grow, so does the need to streamline the paperwork involved in running an agency. One agency found a way to reduce its payroll, billing, and medical records paperwork by implementing an automated, image-based data collection system that saves time, money, and paper.
Despins, Laurel A
Severe sepsis and septic shock are global issues with high mortality rates. Early recognition and intervention are essential to optimize patient outcomes. Automated detection using electronic medical record (EMR) data can assist this process. This review describes automated sepsis detection using EMR data. PubMed retrieved publications between January 1, 2005 and January 31, 2015. Thirteen studies met study criteria: described an automated detection approach with the potential to detect sepsis or sepsis-related deterioration in real or near-real time; focused on emergency department and hospitalized neonatal, pediatric, or adult patients; and provided performance measures or results indicating the impact of automated sepsis detection. Detection algorithms incorporated systemic inflammatory response and organ dysfunction criteria. Systems in nine studies generated study or care team alerts. Care team alerts did not consistently lead to earlier interventions. Earlier interventions did not consistently translate to improved patient outcomes. Performance measures were inconsistent. Automated sepsis detection is potentially a means to enable early sepsis-related therapy but current performance variability highlights the need for further research.
Heinrichs, W; Mönk, S; Eberle, B
The introduction of electronic anaesthesia documentation systems was attempted as early as in 1979, although their efficient application has become reality only in the past few years. The advantages of the electronic protocol are apparent: Continuous high quality documentation, comparability of data due to the availability of a data bank, reduction in the workload of the anaesthetist and availability of additional data. Disadvantages of the electronic protocol have also been discussed in the literature. By going through the process of entering data on the course of the anaesthetic procedure on the protocol sheet, the information is mentally absorbed and evaluated by the anaesthetist. This information may, however, be lost when the data are recorded fully automatically-without active involvement on the part of the anaesthetist. Recent publications state that by using intelligent alarms and/or integrated displays manual record keeping is no longer necessary for anaesthesia vigilance. The technical design of automated anaesthesia records depends on an integration of network technology into the hospital. It will be appropriate to connect the systems to the internet, but safety requirements have to be followed strictly. Concerning the database, client server architecture as well as language standards like SQL should be used. Object oriented databases will be available in the near future. Another future goal of automated anaesthesia record systems will be using knowledge based technologies within these systems. Drug interactions, disease related anaesthetic techniques and other information sources can be integrated. At this time, almost none of the commercially available systems has matured to a point where their purchase can be recommended without reservation. There is still a lack of standards for the subsequent exchange of data and a solution to a number of ergonomic problems still remains to be found. Nevertheless, electronic anaesthesia protocols will be required in
Metzger, Marie-Hélène; Tvardik, Nastassia; Gicquel, Quentin; Bouvry, Côme; Poulet, Emmanuel; Potinet-Pagliaroli, Véronique
The aim of this study was to determine whether an expert system based on automated processing of electronic health records (EHRs) could provide a more accurate estimate of the annual rate of emergency department (ED) visits for suicide attempts in France, as compared to the current national surveillance system based on manual coding by emergency practitioners. A feasibility study was conducted at Lyon University Hospital, using data for all ED patient visits in 2012. After automatic data extraction and pre-processing, including automatic coding of medical free-text through use of the Unified Medical Language System, seven different machine-learning methods were used to classify the reasons for ED visits into "suicide attempts" versus "other reasons". The performance of these different methods was compared by using the F-measure. In a test sample of 444 patients admitted to the ED in 2012 (98 suicide attempts, 48 cases of suicidal ideation, and 292 controls with no recorded non-fatal suicidal behaviour), the F-measure for automatic detection of suicide attempts ranged from 70.4% to 95.3%. The random forest and naïve Bayes methods performed best. This study demonstrates that machine-learning methods can improve the quality of epidemiological indicators as compared to current national surveillance of suicide attempts. Copyright © 2016 John Wiley & Sons, Ltd.
Lyon, M.; Martin, J.B.
Occupational protection records have traditionally been generated by field and laboratory personnel, assembled into files in the safety office, and eventually stored in a warehouse or other facility. Until recently, these records have been primarily paper copies, often handwritten. Sometimes, the paper is microfilmed for storage. However, electronic records are beginning to replace these traditional methods. The purpose of this paper is to provide guidance for making the transition to automated record keeping and retrieval using modern computer equipment. This paper describes the types of records most readily converted to electronic record keeping and a methodology for implementing an automated record system. The process of conversion is based on a requirements analysis to assess program needs and a high level of user involvement during the development. The importance of indexing the hard copy records for easy retrieval is also discussed. The concept of linkage between related records and its importance relative to reporting, research, and litigation will be addressed. 2 figs
Mohammad Reza Tajvidi
In this talk, one of the most efficient, and reliable integrated tools for CD/DVD production workflow, called Medical Archive Recording System (MARS) by ETIAM Company, France, which is a leader in multimedia connectivity for healthcare in Europe, is going to be introduced. "nThis tool is used to record all patient studies, route the studies to printers and PACS automatically, print key images and associated reports and log all study production for automated post processing/archiving. Its...
A medical record is presented on the basis of selected linguistic pearls collected over the years from surgical case records Udgivelsesdato: 2008/12/15......A medical record is presented on the basis of selected linguistic pearls collected over the years from surgical case records Udgivelsesdato: 2008/12/15...
Bobo William V
Full Text Available Abstract Background Diabetic ketoacidosis (DKA is a potentially life-threatening complication of treatment with some atypical antipsychotic drugs in children and youth. Because drug-associated DKA is rare, large automated health outcomes databases may be a valuable data source for conducting pharmacoepidemiologic studies of DKA associated with exposure to individual antipsychotic drugs. However, no validated computer case definition of DKA exists. We sought to assess the positive predictive value (PPV of a computer case definition to detect incident cases of DKA, using automated records of Tennessee Medicaid as the data source and medical record confirmation as a "gold standard." Methods The computer case definition of DKA was developed from a retrospective cohort study of antipsychotic-related type 2 diabetes mellitus (1996-2007 in Tennessee Medicaid enrollees, aged 6-24 years. Thirty potential cases with any DKA diagnosis (ICD-9 250.1, ICD-10 E1x.1 were identified from inpatient encounter claims. Medical records were reviewed to determine if they met the clinical definition of DKA. Results Of 30 potential cases, 27 (90% were successfully abstracted and adjudicated. Of these, 24 cases were confirmed by medical record review (PPV 88.9%, 95% CI 71.9 to 96.1%. Three non-confirmed cases presented acutely with severe hyperglycemia, but had no evidence of acidosis. Conclusions Diabetic ketoacidosis in children and youth can be identified in a computerized Medicaid database using our case definition, which could be useful for automated database studies in which drug-associated DKA is the outcome of interest.
Full Text Available Background The constantly growing publication rate of medical research articles puts increasing pressure on medical specialists who need to be aware of the recent developments in their field. The currently used literature retrieval systems allow researchers to find specific papers; however the search task is still repetitive and time-consuming. Aims In this paper we describe a system that retrieves medical publications by automatically generating queries based on data from an electronic patient record. This allows the doctor to focus on medical issues and provide an improved service to the patient, with higher confidence that it is underpinned by current research. Method Our research prototype automatically generates query terms based on the patient record and adds weight factors for each term. Currently the patient’s age is taken into account with a fuzzy logic derived weight, and terms describing blood-related anomalies are derived from recent blood test results. Conditionally selected homonyms are used for query expansion. The query retrieves matching records from a local index of PubMed publications and displays results in descending relevance for the given patient. Recent publications are clearly highlighted for instant recognition by the researcher. Results Nine medical specialists from the Royal Adelaide Hospital evaluated the system and submitted pre-trial and post-trial questionnaires. Throughout the study we received positive feedback as doctors felt the support provided by the prototype was useful, and which they would like to use in their daily routine. Conclusion By supporting the time-consuming task of query formulation and iterative modification as well as by presenting the search results in order of relevance for the specific patient, literature retrieval becomes part of the daily workflow of busy professionals.
... hear medical people call these EHRs — short for electronic health records . Electronic records make it easier for all your doctors ... doctor's office is trying to protect a patient's privacy or safety. For example, they may say no ...
Full Text Available Abstract Background Gaps in disease surveillance capacity, particularly for emerging infections and bioterrorist attack, highlight a need for efficient, real time identification of diseases. Methods We studied automated records from 1996 through 1999 of approximately 250,000 health plan members in greater Boston. Results We identified 152,435 lower respiratory infection illness visits, comprising 106,670 episodes during 1,143,208 person-years. Three diagnoses, cough (ICD9CM 786.2, pneumonia not otherwise specified (ICD9CM 486 and acute bronchitis (ICD9CM 466.0 accounted for 91% of these visits, with expected age and sex distributions. Variation of weekly occurrences corresponded closely to national pneumonia and influenza mortality data. There was substantial variation in geographic location of the cases. Conclusion This information complements existing surveillance programs by assessing the large majority of episodes of illness for which no etiologic agents are identified. Additional advantages include: a sensitivity, uniformity and efficiency, since detection of events does not depend on clinicians' to actively report diagnoses, b timeliness, the data are available within a day of the clinical event; and c ease of integration into automated surveillance systems. These features facilitate early detection of conditions of public health importance, including regularly occurring events like seasonal respiratory illness, as well as unusual occurrences, such as a bioterrorist attack that first manifests as respiratory symptoms. These methods should also be applicable to other infectious and non-infectious conditions. Knowledge of disease patterns in real time may also help clinicians to manage patients, and assist health plan administrators in allocating resources efficiently.
Sheu, R; Ghafar, R; Powers, A; Green, S; Lo, Y [Mount Sinai Medical Center, New York, NY (United States)
Purpose: Demonstrate the effectiveness of in-house software in ensuring EMR workflow efficiency and safety. Methods: A web-based dashboard system (WBDS) was developed to monitor clinical workflow in real time using web technology (WAMP) through ODBC (Open Database Connectivity). Within Mosaiq (Elekta Inc), operational workflow is driven and indicated by Quality Check Lists (QCLs), which is triggered by automation software IQ Scripts (Elekta Inc); QCLs rely on user completion to propagate. The WBDS retrieves data directly from the Mosaig SQL database and tracks clinical events in real time. For example, the necessity of a physics initial chart check can be determined by screening all patients on treatment who have received their first fraction and who have not yet had their first chart check. Monitoring similar “real” events with our in-house software creates a safety net as its propagation does not rely on individual users input. Results: The WBDS monitors the following: patient care workflow (initial consult to end of treatment), daily treatment consistency (scheduling, technique, charges), physics chart checks (initial, EOT, weekly), new starts, missing treatments (>3 warning/>5 fractions, action required), and machine overrides. The WBDS can be launched from any web browser which allows the end user complete transparency and timely information. Since the creation of the dashboards, workflow interruptions due to accidental deletion or completion of QCLs were eliminated. Additionally, all physics chart checks were completed timely. Prompt notifications of treatment record inconsistency and machine overrides have decreased the amount of time between occurrence and execution of corrective action. Conclusion: Our clinical workflow relies primarily on QCLs and IQ Scripts; however, this functionality is not the panacea of safety and efficiency. The WBDS creates a more thorough system of checks to provide a safer and near error-less working environment.
Sheu, R; Ghafar, R; Powers, A; Green, S; Lo, Y
Purpose: Demonstrate the effectiveness of in-house software in ensuring EMR workflow efficiency and safety. Methods: A web-based dashboard system (WBDS) was developed to monitor clinical workflow in real time using web technology (WAMP) through ODBC (Open Database Connectivity). Within Mosaiq (Elekta Inc), operational workflow is driven and indicated by Quality Check Lists (QCLs), which is triggered by automation software IQ Scripts (Elekta Inc); QCLs rely on user completion to propagate. The WBDS retrieves data directly from the Mosaig SQL database and tracks clinical events in real time. For example, the necessity of a physics initial chart check can be determined by screening all patients on treatment who have received their first fraction and who have not yet had their first chart check. Monitoring similar “real” events with our in-house software creates a safety net as its propagation does not rely on individual users input. Results: The WBDS monitors the following: patient care workflow (initial consult to end of treatment), daily treatment consistency (scheduling, technique, charges), physics chart checks (initial, EOT, weekly), new starts, missing treatments (>3 warning/>5 fractions, action required), and machine overrides. The WBDS can be launched from any web browser which allows the end user complete transparency and timely information. Since the creation of the dashboards, workflow interruptions due to accidental deletion or completion of QCLs were eliminated. Additionally, all physics chart checks were completed timely. Prompt notifications of treatment record inconsistency and machine overrides have decreased the amount of time between occurrence and execution of corrective action. Conclusion: Our clinical workflow relies primarily on QCLs and IQ Scripts; however, this functionality is not the panacea of safety and efficiency. The WBDS creates a more thorough system of checks to provide a safer and near error-less working environment
independent web service connected to database of medical records or Worldwide. Interoperability ... allows wireless monitoring and tracking of patients and first responders using sensor nodes .... All these network security threats arise mainly ...
Li, Qi; Melton, Kristin; Lingren, Todd; Kirkendall, Eric S; Hall, Eric; Zhai, Haijun; Ni, Yizhao; Kaiser, Megan; Stoutenborough, Laura; Solti, Imre
Although electronic health records (EHRs) have the potential to provide a foundation for quality and safety algorithms, few studies have measured their impact on automated adverse event (AE) and medical error (ME) detection within the neonatal intensive care unit (NICU) environment. This paper presents two phenotyping AE and ME detection algorithms (ie, IV infiltrations, narcotic medication oversedation and dosing errors) and describes manual annotation of airway management and medication/fluid AEs from NICU EHRs. From 753 NICU patient EHRs from 2011, we developed two automatic AE/ME detection algorithms, and manually annotated 11 classes of AEs in 3263 clinical notes. Performance of the automatic AE/ME detection algorithms was compared to trigger tool and voluntary incident reporting results. AEs in clinical notes were double annotated and consensus achieved under neonatologist supervision. Sensitivity, positive predictive value (PPV), and specificity are reported. Twelve severe IV infiltrates were detected. The algorithm identified one more infiltrate than the trigger tool and eight more than incident reporting. One narcotic oversedation was detected demonstrating 100% agreement with the trigger tool. Additionally, 17 narcotic medication MEs were detected, an increase of 16 cases over voluntary incident reporting. Automated AE/ME detection algorithms provide higher sensitivity and PPV than currently used trigger tools or voluntary incident-reporting systems, including identification of potential dosing and frequency errors that current methods are unequipped to detect. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
Full Text Available Accurate segmentation of medical images is a key step in contouring during radiotherapy planning. Computed topography (CT and Magnetic resonance (MR imaging are the most widely used radiographic techniques in diagnosis, clinical studies and treatment planning. This review provides details of automated segmentation methods, specifically discussed in the context of CT and MR images. The motive is to discuss the problems encountered in segmentation of CT and MR images, and the relative merits and limitations of methods currently available for segmentation of medical images.
Enright, S M
In the October 1993 issue of Physician Assistant, we published "Robots for Health Care," the first of two articles on the medical applications of robotics. That article discussed ways in which robots could help patients with manipulative disabilities to perform activities of daily living and hold paid employment; transfer patients from bed to chair and back again; add precision to the most exacting surgical procedures; and someday carry out diagnostic and therapeutic techniques from within the human body. This month, we are pleased to offer an article by Sharon Enright, an authority on pharmacy operations, who considers how an automated medication-management system that makes use of bar-code technology is capable of streamlining drug dispensing, controlling safety, increasing cost-effectiveness, and ensuring accurate and complete record-keeping.
Pakhomov, Serguei Vs; Shah, Nilay D; Hanson, Penny; Balasubramaniam, Saranya C; Smith, Steven A
Low-dose aspirin reduces cardiovascular risk; however, monitoring over-the-counter medication use relies on the time-consuming and costly manual review of medical records. Our objective is to validate natural language processing (NLP) of the electronic medical record (EMR) for extracting medication exposure and contraindication information. The text of EMRs for 499 patients with type 2 diabetes was searched using NLP for evidence of aspirin use and its contraindications. The results were compared to a standardised manual records review. Of the 499 patients, 351 (70%) were using aspirin and 148 (30%) were not, according to manual review. NLP correctly identified 346 of the 351 aspirin-positive and 134 of the 148 aspirin-negative patients, indicating a sensitivity of 99% (95% CI 97-100) and specificity of 91% (95% CI 88-97). Of the 148 aspirin-negative patients, 66 (45%) had contraindications and 82 (55%) did not, according to manual review. NLP search for contraindications correctly identified 61 of the 66 patients with contraindications and 58 of the 82 patients without, yielding a sensitivity of 92% (95% CI 84-97) and a specificity of 71% (95% CI 60-80). NLP of the EMR is accurate in ascertaining documented aspirin use and could potentially be used for epidemiological research as a source of cardiovascular risk factor information.
Girard, A. J.; Shragge, J.
Structural imaging using body-wave energy present in ambient seismic data remains a challenging task, largely because these wave modes are commonly much weaker than surface wave energy. In a number of situations body-wave energy has been extracted successfully; however, (nearly) all successful body-wave extraction and imaging approaches have focused on cross-correlation processing. While this is useful for interferometric purposes, it can also lead to the inclusion of unwanted noise events that dominate the resulting stack, leaving body-wave energy overpowered by the coherent noise. Conversely, wave-equation imaging can be applied directly on non-correlated ambient data that has been preprocessed to mitigate unwanted energy (i.e., surface waves, burst-like and electromechanical noise) to enhance body-wave arrivals. Following this approach, though, requires a significant preprocessing effort on often Terabytes of ambient seismic data, which is expensive and requires automation to be a feasible approach. In this work we outline an automated processing workflow designed to optimize body wave energy from an ambient seismic data set acquired on a large-N array at a mine site near Lalor Lake, Manitoba, Canada. We show that processing ambient seismic data in the recording domain, rather than the cross-correlation domain, allows us to mitigate energy that is inappropriate for body-wave imaging. We first develop a method for window selection that automatically identifies and removes data contaminated by coherent high-energy bursts. We then apply time- and frequency-domain debursting techniques to mitigate the effects of remaining strong amplitude and/or monochromatic energy without severely degrading the overall waveforms. After each processing step we implement a QC check to investigate improvements in the convergence rates - and the emergence of reflection events - in the cross-correlation plus stack waveforms over hour-long windows. Overall, the QC analyses suggest that
... State university libraries and less archival record were automated in both Federal and State university libraries, it was recommended that State university libraries should follow the lead of Federal university libraries by automating their records, this will go a long way to make information retrieval and accessibility easier.
Automated Records Management Systems in the ESARBICA Region. ... to organizations as human and financial resources and that their management is important. ... Latter day archivists work with other professionals such as auditors, systems ...
Bardram, Jakob Eyvind; Houben, Steven
by Sellen and Harper (2003) on the affordances of physical paper. Sellen and Harper describe how the physical properties of paper affords easy reading, navigation, mark-up, and writing, but focuses, we argue, mainly on individual use of paper and digital technology. As an extension to this, Collaborative...... Affordances; being portable across patient wards and the entire hospital, by providing collocated access, by providing a shared overview of medical data, and by giving clinicians ways to maintain mutual awareness. We then discuss how the concept of Collaborative Affordances can be used in the design of new...... technology by providing a design study of a ‘Hybrid Patient Record’ (HyPR), which is designed to seamlessly blend and integrate paper-based with electronic patient records....
In response to increasing demand for human data to identify social, environmental, and occupational influences upon health, Statistics Canada has been organizing existing files of vital and health records to facilitate such studies on a national scale. In particular, the development of a Canadian Mortality Data Base file, the initiation of the National Cancer Incidence system, and the development of new computer techniques have helped reduce the cost and increase the scale and efficiency of automated medical follow-up to produce statistics of sickness or death attributable to environmental factors. Specific occupational studies now in progress serve to illustrate the methods, practical difficulties, potential size, and products from such investigations
New medical record keeping obligations are implemented by the Medical Practitioners Act (2007), effective July 2009. This audit, comprising review of 347 medical entries in 257 charts on one day, investigated compliance with the Act together with the general standard of medical record keeping. The Medical Council requirement was absent all but 3 (0.9%) of entries; there was no unique identifier or signature in 28 (8%) and 135 (39%) of entries respectively. The case for change is discussed.
Fletcher, Chadwick B
.... Substantial benefits are realized through routine use of electronic medical records include improved quality, safety, and efficiency, along with the increased ability to conduct education and research...
... for automated records. (a) In addition to following the security requirements of § 293.106 of this... careless, accidental, or unintentional disclosure, modification, or destruction of identifiable personal data; (2) Minimize the risk that skilled technicians or knowledgeable persons could improperly obtain...
Allaert, F A; Dusserre, L
Computerization of medical records is making headway for patients' follow-up, scientific research, and health expenses control, but it must not alter the guarantees provided to the patients by the medical code of ethics and the law of January 6, 1978. This law, modified on July 1, 1994, requires to register all computerized records of personal data and establishes rights to protect privacy against computer misdemeanor. All medical practitioners using computerized medical records must be aware that the infringement of this law may provoke suing in professional, civil or criminal court.
Some ideas concerning medical records at the Ispra Centre are exposed. The approved medical practitioner has two main tasks: he must gather enough relevant information to decide on the worker's suitability and also to determine his physical condition, normal or otherwise, and he must record it with enough detail to permit comparison with findings at later examinations. for the purposes of medical records, clinical examinations and complementary investigations, a large proportion of the measurements are of course made on the critical organs. The problems of the container or physical medium receiving the information to be recorded is considered. The possibilities offered by computer techniques are discussed
van 't Noordende, G.
Building upon a security analysis of the Dutch electronic patient record system, this paper describes an approach to construct a fully decentralized patient record system, using controlled disclosure of references to medical records. This paper identifies several paths that can be used to disclose
Full Text Available It is very important for the treating doctor to properly document the management of a patient under his care. Medical record keeping has evolved into a science of itself. This will be the only way for the doctor to prove that the treatment was carried out properly. Moreover, it will also be of immense help in the scientific evaluation and review of patient management issues. Medical records form an important part of the management of a patient. It is important for the doctors and medical establishments to properly maintain the records of patients for two important reasons. The first one is that it will help them in the scientific evaluation of their patient profile, helping in analyzing the treatment results, and to plan treatment protocols. It also helps in planning governmental strategies for future medical care. But of equal importance in the present setting is in the issue of alleged medical negligence. The legal system relies mainly on documentary evidence in a situation where medical negligence is alleged by the patient or the relatives. In an accusation of negligence, this is very often the most important evidence deciding on the sentencing or acquittal of the doctor. With the increasing use of medical insurance for treatment, the insurance companies also require proper record keeping to prove the patient′s demand for medical expenses. Improper record keeping can result in declining medical claims. It is disheartening to note that inspite of knowing the importance of proper record keeping it is still in a nascent stage in India. It is wise to remember that "Poor records mean poor defense, no records mean no defense". Medical records include a variety of documentation of patient′s history, clinical findings, diagnostic test results, preoperative care, operation notes, post operative care, and daily notes of a patient′s progress and medications. A properly obtained consent will go a long way in proving that the procedures were
Mocanu, Mihai; Mocanu, Carmen
The extension for the Web applications of the Electronic Medical Record seems both interesting and promising. Correlated with the expansion of Internet in our country, it allows the interconnection of physicians of different specialties and their collaboration for better treatment of patients. In this respect, the ophthalmologic medical applications consider the increased possibilities for monitoring chronic ocular diseases and for the identification of some elements for early diagnosis and risk factors supervision. We emphasize in this survey some possible solutions to the problems of interconnecting medical information systems to the Internet: the achievement of interoperability within medical organizations through the use of open standards, the automated input and processing for ocular imaging, the use of data reduction techniques in order to increase the speed of image retrieval in large databases, and, last but not least, the resolution of security and confidentiality problems in medical databases.
Recupero, Patricia R
In child and adolescent psychiatry, medical records and professional communications raise important ethical concerns for the treating or consulting clinician. Although a distinction may be drawn between internal records (eg, medical records and psychotherapy notes) and external communications (eg, consultation reports and correspondence with pediatricians), several ethical principles apply to both types of documentation; however, specific considerations may vary, depending upon the context in which the records or communications were produced. Special care is due with regard to thoroughness and honesty, collaboration and cooperation, autonomy and dignity of the patient, confidentiality of the patient and family members, maintaining objectivity and neutrality, electronic communications media, and professional activities (eg, political advocacy). This article reviews relevant ethical concerns for child and adolescent psychiatrists with respect to medical records and professional communications, drawing heavily from forensic and legal sources, and offers additional recommendations for further reading for clarification and direction on ethical dilemmas.
Hartman, MAJ Roddex Barlow , CPT Christopher Besser and Capt Michael Emerson...thank you I am truly honored to call each of you my friends. Electronic... abnormal findings are addressed. 18 Electronic Medical Record Implementation Barriers of the Electronic Medical Records System There are several...examination findings • Psychological and social assessment findings N. The system provides a flexible mechanism for retrieval of encounter
Rotmensch, Maya; Halpern, Yoni; Tlimat, Abdulhakim; Horng, Steven; Sontag, David
Demand for clinical decision support systems in medicine and self-diagnostic symptom checkers has substantially increased in recent years. Existing platforms rely on knowledge bases manually compiled through a labor-intensive process or automatically derived using simple pairwise statistics. This study explored an automated process to learn high quality knowledge bases linking diseases and symptoms directly from electronic medical records. Medical concepts were extracted from 273,174 de-identified patient records and maximum likelihood estimation of three probabilistic models was used to automatically construct knowledge graphs: logistic regression, naive Bayes classifier and a Bayesian network using noisy OR gates. A graph of disease-symptom relationships was elicited from the learned parameters and the constructed knowledge graphs were evaluated and validated, with permission, against Google's manually-constructed knowledge graph and against expert physician opinions. Our study shows that direct and automated construction of high quality health knowledge graphs from medical records using rudimentary concept extraction is feasible. The noisy OR model produces a high quality knowledge graph reaching precision of 0.85 for a recall of 0.6 in the clinical evaluation. Noisy OR significantly outperforms all tested models across evaluation frameworks (p < 0.01).
Olson, Catherine H; Dierich, Mary; Westra, Bonnie L
Create an automated algorithm for predicting elderly patients' medication-related risks for readmission and validate it by comparing results with a manual analysis of the same patient population. Outcome and Assessment Information Set (OASIS) and medication data were reused from a previous, manual study of 911 patients from 15 Medicare-certified home health care agencies. The medication data was converted into standardized drug codes using APIs managed by the National Library of Medicine (NLM), and then integrated in an automated algorithm that calculates patients' high risk medication regime scores (HRMRs). A comparison of the results between algorithm and manual process was conducted to determine how frequently the HRMR scores were derived which are predictive of readmission. HRMR scores are composed of polypharmacy (number of drugs), Potentially Inappropriate Medications (PIM) (drugs risky to the elderly), and Medication Regimen Complexity Index (MRCI) (complex dose forms, instructions or administration). The algorithm produced polypharmacy, PIM, and MRCI scores that matched with 99%, 87% and 99% of the scores, respectively, from the manual analysis. Imperfect match rates resulted from discrepancies in how drugs were classified and coded by the manual analysis vs. the automated algorithm. HRMR rules lack clarity, resulting in clinical judgments for manual coding that were difficult to replicate in the automated analysis. The high comparison rates for the three measures suggest that an automated clinical tool could use patients' medication records to predict their risks of avoidable readmissions. Copyright © 2014 Elsevier Inc. All rights reserved.
Dennis, J.A.; Marshall, T.O.; Shaw, K.B.
This report describes the thermoluminescent personal radiation dosemeter and its associated automated processing equipment, which are being developed by the National Radiological Protection Board, together with the operation of a computerised dosemeter issue and record keeping system. The main justifications for introducing these systems are improvements in the organizational efficiency of the maintenance of individual dose records, a more flexible and accurate dosimetry system, and economics in operational costs. The dosemeter is based on a numbered aluminium plate containing two lithium fluoride in polytetrafluorethylene disks for the measurement of surface and body dose. This dosemeter is wrapped in thin plastic and labelled with the wearer's name and address. On return, the dosemeter is checked automatically for radioactive contamination; it is unwrapped and evaluated; the dose readings are included in the wearer's stored dose record; the dosemeter is annealed and is then available for re-issue to another wearer. Dose reports and warnings are automatically issued to the wearer or his employer. (author)
Springer, David B; Brennan, Thomas; Ntusi, Ntobeko; Abdelrahman, Hassan Y; Zühlke, Liesl J; Mayosi, Bongani M; Tarassenko, Lionel; Clifford, Gari D
Mobile phones, due to their audio processing capabilities, have the potential to facilitate the diagnosis of heart disease through automated auscultation. However, such a platform is likely to be used by non-experts, and hence, it is essential that such a device is able to automatically differentiate poor quality from diagnostically useful recordings since non-experts are more likely to make poor-quality recordings. This paper investigates the automated signal quality assessment of heart sound recordings performed using both mobile phone-based and commercial medical-grade electronic stethoscopes. The recordings, each 60 s long, were taken from 151 random adult individuals with varying diagnoses referred to a cardiac clinic and were professionally annotated by five experts. A mean voting procedure was used to compute a final quality label for each recording. Nine signal quality indices were defined and calculated for each recording. A logistic regression model for classifying binary quality was then trained and tested. The inter-rater agreement level for the stethoscope and mobile phone recordings was measured using Conger's kappa for multiclass sets and found to be 0.24 and 0.54, respectively. One-third of all the mobile phone-recorded phonocardiogram (PCG) signals were found to be of sufficient quality for analysis. The classifier was able to distinguish good- and poor-quality mobile phone recordings with 82.2% accuracy, and those made with the electronic stethoscope with an accuracy of 86.5%. We conclude that our classification approach provides a mechanism for substantially improving auscultation recordings by non-experts. This work is the first systematic evaluation of a PCG signal quality classification algorithm (using a separate test dataset) and assessment of the quality of PCG recordings captured by non-experts, using both a medical-grade digital stethoscope and a mobile phone.
In 1986 a joint medical records project group was set up by the Institute of Health Services Management, the Association of Health Care Information and Medical Records Officers and the NHS Training Authority, with Mr Vic Peel as chairman. The group was supported by Arthur Andersen & Co, management consultants. The following is a shortened and edited version of an interim report drafted for the group by Dr Alastair Mason. It is intended for discussion and does not yet represent the definitive views of the sponsoring bodies.
García-Molina Sáez, Celia; Urbieta Sanz, Elena; Madrigal de Torres, Manuel; Piñera Salmerón, Pascual; Pérez Cárceles, María D
To quantify and to evaluate the reliability of Primary Care (PC) computerised medication records of as an information source of patient chronic medications, and to identify associated factors with the presence of discrepancies. A descriptive cross-sectional study. General Referral Hospital in Murcia. Patients admitted to the cardiology-chest diseases unit, during the months of February to April 2013, on home treatment, who agreed to participate in the study. Evaluation of the reliability of Primary Care computerised medication records by analysing the concordance, by identifying discrepancies, between the active medication in these records and that recorded in pharmacist interview with the patient/caregiver. Identification of associated factors with the presence of discrepancies was analysed using a multivariate logistic regression. The study included a total of 308 patients with a mean of 70.9 years (13.0 SD). The concordance of active ingredients was 83.7%, and this decreased to 34.7% when taking the dosage into account. Discrepancies were found in 97.1% of patients. The most frequent discrepancy was omission of frequency (35.6%), commission (drug added unjustifiably) (14.6%), and drug omission (12.7%). Age older than 65 years (1.98 [1.08 to 3.64]), multiple chronic diseases (1.89 [1.04 to 3.42]), and have a narcotic or psychotropic drug prescribed (2.22 [1.16 to 4.24]), were the factors associated with the presence of discrepancies. Primary Care computerised medication records, although of undoubted interest, are not be reliable enough to be used as the sole source of information on patient chronic medications when admitted to hospital. Copyright © 2015 Elsevier España, S.L.U. All rights reserved.
Risør, Bettina Wulff; Lisby, Marianne; Sørensen, Jan
Background Medication errors have received extensive attention in recent decades and are of significant concern to healthcare organisations globally. Medication errors occur frequently, and adverse events associated with medications are one of the largest causes of harm to hospitalised patients...... cabinet, automated dispensing and barcode medication administration; (2) non-patient specific automated dispensing and barcode medication administration. The occurrence of administration errors was observed in three 3 week periods. The error rates were calculated by dividing the number of doses with one...
Maresca, M; Gavaciuto, D; Cappelli, G
Nephrologists need to register and look at a great number of clinical data. The use of electronic medical records may improve efficiency and reduce errors. Aim of our work is to report the experience of Villa Scassi Hospital in Genoa, where a "patient file" has been performed to improve nephrology practice management. The file contains all clinical records, laboratory and radiology data, therapy, dialysis clinics, in addition to reports of out-patients department. This system allowed a better efficiency in diagnosis and treatment of the patient. Moreover experience of nurses in employing electronic medical records is reported. A reduced number of errors was found in therapy administering, because of a only one data source for physicians and nurses.
Munck, Lars K; Hansen, Karina R; Mølbak, Anne Grethe
INTRODUCTION: Medication reconciliation improves congruence in cross sectional patient courses. Our regional electronic medical record (EMR) integrates the shared medication record (SMR) which provides full access to current medication and medication prescriptions for all citizens in Denmark. We...
Dullabh, Prashila M; Sondheimer, Norman K; Katsh, Ethan; Evans, Michael A
medication list changes. (3) Processing patient feedback will requires both software algorithms and human interpretation. For the 107 forms subsample, pharmacists accepted patient input in 51 percent of cases where they could not contact the patient. Where the patient was contacted, they accepted feedback from 68 percent. This suggests there may be opportunities to automate feedback filtering and processing for more efficient (and larger scale) medication-list optimization. (4) A supportive overall e-health environment makes acceptance of an online patient feedback system more likely. Review of Geisinger usage data showed patients who completed the medication feedback form had previously accessed MyGeisinger 2.3 times as often as the average patient and initiated secure messages with a clinician 1.35 times as often as patients not involved in the pilot. Patient feedback, placed in a useful workflow, can improve medical record accuracy. Electronic health record (EHR) vendors and developers need to build appropriate capabilities into applications. Continued research and development is needed for enabling health care organizations to elicit and process patient information most effectively.
Barrows, R C; Clayton, P D
The enhanced availability of health information in an electronic format is strategic for industry-wide efforts to improve the quality and reduce the cost of health care, yet it brings a concomitant concern of greater risk for loss of privacy among health care participants. The authors review the conflicting goals of accessibility and security for electronic medical records and discuss nontechnical and technical aspects that constitute a reasonable security solution. It is argued that with gui...
Atreja, Ashish; Rizk, Maged; Gurland, Brooke
Endoscopic electronic medical record systems (EEMRs) are now increasingly utilized in many endoscopy centers. Modern EEMRs not only support endoscopy report generation, but often include features such as practice management tools, image and video clip management, inventory management, e-faxes to referring physicians, and database support to measure quality and patient outcomes. There are many existing software vendors offering EEMRs, and choosing a software vendor can be time consuming and co...
... 22 Foreign Relations 2 2010-04-01 2010-04-01 true Security of records systems-manual and automated... Security of records systems—manual and automated. The head of the agency has the responsibility of... destruction of manual and automatic record systems. These security safeguards shall apply to all systems in...
Kumar, Rajiv B; Goren, Nira D; Stark, David E; Wall, Dennis P; Longhurst, Christopher A
The diabetes healthcare provider plays a key role in interpreting blood glucose trends, but few institutions have successfully integrated patient home glucose data in the electronic health record (EHR). Published implementations to date have required custom interfaces, which limit wide-scale replication. We piloted automated integration of continuous glucose monitor data in the EHR using widely available consumer technology for 10 pediatric patients with insulin-dependent diabetes. Establishment of a passive data communication bridge via a patient's/parent's smartphone enabled automated integration and analytics of patient device data within the EHR between scheduled clinic visits. It is feasible to utilize available consumer technology to assess and triage home diabetes device data within the EHR, and to engage patients/parents and improve healthcare provider workflow. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association.
Gosman, Minna L.
Developed as a result of an analysis of the task of transcribing as practiced in a health facility, this study guide was designed to teach the knowledge and skills required of a medical transcriber. The medical record department was identified as a major occupational area, and a task inventory for medical records was developed and used as a basis…
Gosman, Minna L.
Following an analysis of the task of transcribing as practiced in a health facility, this study guide was designed to teach the knowledge and skills required of a medical transcriber. The medical record department was identified as a major occupational area, and a task inventory for medical records was developed and used as a basis for…
Gosman, Minna L.
Following an analysis of the task of transcribing as practiced in a health facility, this study guide was developed to teach the knowledge and skills required of a medical transcriber. The medical record department was identified as a major occupational area, and a task inventory for medical records was developed and used as a basis for a…
Bartsch, Emily; Park, Alison L; Young, Jacqueline; Ray, Joel G; Tu, Karen
The emerging adoption of the electronic medical record (EMR) in primary care enables clinicians and researchers to efficiently examine epidemiological trends in child health, including infant feeding practices. We completed a population-based retrospective cohort study of 8815 singleton infants born at term in Ontario, Canada, April 2002 to March 2013. Newborn records were linked to the Electronic Medical Record Administrative data Linked Database (EMRALD™), which uses patient-level information from participating family practice EMRs across Ontario. We assessed exclusive breastfeeding patterns using an automated electronic search algorithm, with manual review of EMRs when the latter was not possible. We examined the rate of breastfeeding at visits corresponding to 2, 4 and 6 months of age, as well as sociodemographic factors associated with exclusive breastfeeding. Of the 8815 newborns, 1044 (11.8%) lacked breastfeeding information in their EMR. Rates of exclusive breastfeeding were 39.5% at 2 months, 32.4% at 4 months and 25.1% at 6 months. At age 6 months, exclusive breastfeeding rates were highest among mothers aged ≥40 vs. database.
National Archives and Records Service (GSA), Washington, DC. Office of Records Management.
A detailed guide to selecting appropriate source data automation equipment is presented. Source data automation equipment is used to prepare data for electronic data processing or computerized recordkeeping. The guide contains specifications, performance data cost, and pictures of the major types of machines used in source data automation.…
Cahill, Jennifer E; Gilbert, Mark R; Armstrong, Terri S
This topic review discusses the evolving clinical challenges associated with the implementation of electronic personal health records (PHR) that are fully integrated with electronic medical records (EMR). The benefits of facilitating patient access to the EMR through web-based, PHR-portals may be substantial; foremost is the potential to enhance the flow of information between patient and healthcare practitioner. The benefits of improved communication and transparency of care are presumed to be a reduction in clinical errors, increased quality of care, better patient-management of disease, and better disease and symptom comprehension. Yet PHR databases allow patients open access to newly-acquired clinical data without the benefit of concurrent expert clinical interpretation, and therefore may create the potential for greater patient distress and uncertainty. With specific attention to neuro-oncology patients, this review focuses on the developing conflicts and consequences associated with the use of a PHR that parallels data acquisition of the EMR in real-time. We conclude with a discussion of recommendations for implementing fully-integrated PHR for neuro-oncology patients.
Atreja, Ashish; Rizk, Maged; Gurland, Brooke
Endoscopic electronic medical record systems (EEMRs) are now increasingly utilized in many endoscopy centers. Modern EEMRs not only support endoscopy report generation, but often include features such as practice management tools, image and video clip management, inventory management, e-faxes to referring physicians, and database support to measure quality and patient outcomes. There are many existing software vendors offering EEMRs, and choosing a software vendor can be time consuming and confusing. The goal of this article is inform the readers about current functionalities available in modern EEMR and provide them with a framework necessary to find an EEMR that is best fit for their practice.
... [Docket No. APHIS-2012-0041] Notification of Deletion of a System of Records; Automated Trust Funds Database AGENCY: Animal and Plant Health Inspection Service, USDA. ACTION: Notice of deletion of a system... establishing the Automated Trust Funds (ATF) database system of records. The Federal Information Security...
Full Text Available Background: Electronic medical records (EMRs can be of great use in dermatological data recording. Unfortunately, not many studies have been carried out in this specific area. Aims: We attempt to evaluate the use of an EMR system in dermatology, comparing it with a conventional paper-based system. Methods: Two hundred patient records of patients attending the dermatology outpatient department were studied over a 3-month period. Half the reports were entered in the conventional paper-based format while the other half was entered in an EMR system. The time taken for each consultation was recorded and the same was carried out for the first subsequent follow-up visit. Results: The average time taken for the completion of the EMR-based consultation for new cases was 19.15 min (range, 10-30 min; standard deviation, 6.47. The paper-based consultation had an average time of 15.70 min (range, 5-25 min; standard deviation, 6.78. The P-value (T-test was used was 0.002, which was significant. The average time taken for consultations and entering progress notes in the follow-up cases was slightly less than 10 min (9.7 for EMR while it was slightly more than 10 min (10.3 for the paper format. The difference was not statistically significant. The doctors involved also mentioned what they felt were the advantages and disadvantages of the system along with suggestions for improvement. Conclusion: The use of an EMR system in dermatology (or for that matter in any specialty may overawe most users at the beginning, but once a comfort level is established, EMR is likely to outscore conventional paper recording systems. More time-motion-case studies are required to ascertain the optimal usage of EMR systems.
Bird, E.M.; Flook, B.A.; Jarrett, R.D.
A multi-user computer data base management system (DBMS) has been developed to automate USDA's national radiological safety program. It maintains information on approved users of radioactive material and radiation emanating equipment, as a central file which is accessed whenever information on the user is required. Files of inventory, personnel dosemetry records, laboratory and equipment surveys, leak tests, bioassay reports, and all other information are linked to each approved user by an assigned code that identifies the user by state, agency, and facility. The DBMS is menu-driven with provisions for addition, modification and report generation of information maintained in the system. This DBMS was designed as a single entry system to reduce the redundency of data entry. Prompts guide the user at decision points and data validation routines check for proper data entry. The DBMS generates lists of current inventories, leak test forms, inspection reports, scans for overdue reports from users, and generates follow-up letters. The DBMS system operates on a Wang OIS computer and utilizes its compiled BASIC, List Processing, Word Processing, and indexed (ISAM) file features. This system is a very fast relational database supporting many users simultaneously while providing several methods of data protection. All data files are compatible with List Processing. Information in these files can be examined, sorted, modified, or outputted to word processing documents using software supplied by Wang. This has reduced the need for special one-time programs and provides alternative access to the data
Quantin, Catherine; Jaquet-Chiffelle, David-Olivier; Coatrieux, Gouenou; Benzenine, Eric; Allaert, François-André
The purpose of our multidisciplinary study was to define a pragmatic and secure alternative to the creation of a national centralised medical record which could gather together the different parts of the medical record of a patient scattered in the different hospitals where he was hospitalised without any risk of breaching confidentiality. We first analyse the reasons for the failure and the dangers of centralisation (i.e. difficulty to define a European patients' identifier, to reach a common standard for the contents of the medical record, for data protection) and then propose an alternative that uses the existing available data on the basis that setting up a safe though imperfect system could be better than continuing a quest for a mythical perfect information system that we have still not found after a search that has lasted two decades. We describe the functioning of Medical Record Search Engines (MRSEs), using pseudonymisation of patients' identity. The MRSE will be able to retrieve and to provide upon an MD's request all the available information concerning a patient who has been hospitalised in different hospitals without ever having access to the patient's identity. The drawback of this system is that the medical practitioner then has to read all of the information and to create his own synthesis and eventually to reject extra data. Faced with the difficulties and the risks of setting up a centralised medical record system, a system that gathers all of the available information concerning a patient could be of great interest. This low-cost pragmatic alternative which could be developed quickly should be taken into consideration by health authorities. Copyright Â© 2010 Elsevier Ireland Ltd. All rights reserved.
Mabrouk, O.S.; Dripps, I.J.; Ramani, S.; Chang, C.; Han, J.L.; Rice, KC; Jutkiewicz, E.M.
Background Monitoring mouse behavior is a critical step in the development of modern pharmacotherapies. New Method Here we describe the application of a novel method that utilizes a touch display computer (tablet) and software to detect, record, and report fine motor behaviors. A consumer-grade tablet device is placed in the bottom of a specially made acrylic cage allowing the animal to walk on the device (MouseTrapp). We describe its application in open field (for general locomotor studies) which measures step lengths and velocity. The device can perform light-dark (anxiety) tests by illuminating half of the screen and keeping the other half darkened. A divider is built into the lid of the device allowing the animal free access to either side. Results Treating mice with amphetamine and the delta opioid peptide receptor agonist SNC80 stimulated locomotor activity on the device. Amphetamine increased step velocity but not step length during its peak effect (40–70 min after treatment), thus indicating detection of subtle amphetamine-induced effects. Animals showed a preference (74% of time spent) for the darkened half compared to the illuminated side. Comparison with Existing Method Animals were videotaped within the chamber to compare quadrant crosses to detected motion on the device. The slope, duration and magnitude of quadrant crosses tightly correlated with overall locomotor activity as detected by Mousetrapp. Conclusions We suggest that modern touch display devices such as MouseTrapp will be an important step toward automation of behavioral analyses for characterizing phenotypes and drug effects. PMID:24952323
Full Text Available Dan Belletti1, Christopher Zacker1, C Daniel Mullins21Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA; 2University of Maryland School of Pharmacy, Baltimore, MD, USAAbstract: Health information technology (HIT is engineered to promote improved quality and efficiency of care, and reduce medical errors. Healthcare organizations have made significant investments in HIT tools and the electronic medical record (EMR is a major technological advance. The Department of Veterans Affairs was one of the first large healthcare systems to fully implement EMR. The Veterans Health Information System and Technology Architecture (VistA began by providing an interface to review and update a patient’s medical record with its computerized patient record system. However, since the implementation of the VistA system there has not been an overall substantial adoption of EMR in the ambulatory or inpatient setting. In fact, only 23.9% of physicians were using EMRs in their office-based practices in 2005. A sample from the American Medical Association revealed that EMRs were available in an office setting to 17% of physicians in late 2007 and early 2008. Of these, 17% of physicians with EMR, only 4% were considered to be fully functional EMR systems. With the exception of some large aggregate EMR databases the slow adoption of EMR has limited its use in outcomes research. This paper reviews the literature and presents the current status of and forces influencing the adoption of EMR in the office-based practice, and identifies the benefits, limitations, and overall value of EMR in the conduct of outcomes research in the US.Keywords: electronic medical records, health information technology, medical errors
Kumar, Ashok; Cariappa, M P; Marwaha, Vishal; Sharma, Mukti; Arora, Manu
Medical stores management in hospitals is a tedious and time consuming chore with limited resources tasked for the purpose and poor penetration of Information Technology. The process of automation is slow paced due to various inherent factors and is being challenged by the increasing inventory loads and escalating budgets for procurement of drugs. We carried out an indepth case study at the Medical Stores of a tertiary care health care facility. An iterative six step Quality Improvement (QI) process was implemented based on the Plan-Do-Study-Act (PDSA) cycle. The QI process was modified as per requirement to fit the medical stores management model. The results were evaluated after six months. After the implementation of QI process, 55 drugs of the medical store inventory which had expired since 2009 onwards were replaced with fresh stock by the suppliers as a result of effective communication through upgraded database management. Various pending audit objections were dropped due to the streamlined documentation and processes. Inventory management improved drastically due to automation, with disposal orders being initiated four months prior to the expiry of drugs and correct demands being generated two months prior to depletion of stocks. The monthly expense summary of drugs was now being done within ten days of the closing month. Improving communication systems within the hospital with vendor database management and reaching out to clinicians is important. Automation of inventory management requires to be simple and user-friendly, utilizing existing hardware. Physical stores monitoring is indispensable, especially due to the scattered nature of stores. Staff training and standardized documentation protocols are the other keystones for optimal medical store management.
Full Text Available To The Editor: I was amazed recently to see a patient from Libya who came to the UK for treatment based on the advice of his Libyan physicians. The patient carried with him no referral letter whatsoever. Not one physician familiar with his case bothered to write a few lines for the poor patient, although each of those doctors saw the patient at least twice and prescribed one or more treatment. The patient carried with him different medications that had been prescribed, and a few empty containers of other medicines he had used. I mention the above short tale to bring to light what I feel is a major ethical problem with the way medicine is practiced in Libya . The keeping of good medical records together with clear and concise correspondence between physicians is imperative for several reasons. Not only does it avoid duplication of services and unnecessary costs, it decreases the time invested by both the patient and physician, and it fosters a collegial relationship among healthcare providers. Many times, referring physicians may not know each other. It provides a channel for them to learn from each other as well as a method for them to form professional relationships. It occurred to me that colleagues in Libya may be shy of writing referral letters or may even be phobic about disclosing their practice habits. Patient information can best be written as referral letters which summaries the patient presentation, testing, response to treatment, possible consultation, and reason for referral. The referral may be because the physician(s initially treating the patient simply have tried all treatments known to them, or they may need to refer if they lack certain diagnostic equipment necessary to continue the care. To refer the patient to colleagues simply says “we think more can be done for this patient but we may not be able to do it here; please evaluate.” It shows respect for the patient and for the colleague. No physician knows everything
Ross, S Michael
Lack of medication adherence is a prevalent problem that causes a broad range of health-and health-economics-related issues. Adherence management is therefore an important strategy, but it also presents its own set of challenges. Interventional communication from care support teams at managed care organizations and disease management and wellness programs has proved effective at modifying patients' medication adherence and reporting behaviors. However, these communications do not work well from an economic standpoint. It is not economically feasible to scale call centers and the numbers of clinical and professional staff to communicate with the increasing number of patients with chronic diseases who require ongoing medication use. Using communication automation to augment traditional call center outreach can help to mediate patient medication-taking behaviors. Specific design criteria for the automation of this interaction are discussed in this article, offering supporting data from a recent trial of 304 elderly patients with hypertension, and showing the benefits of using such a system for effective blood pressure monitoring, at reduced costs.
Ajami, Sima; Ebadsichani, Afsaneh; Tofighi, Shahram; Tavakoli, Nahid
The Medical Records Department (MRD) is an important source for evaluating and planning of healthcare services; therefore, hospital managers should improve their performance not only in the short-term but also in the long-term plans. The Balanced Scorecard (BSC) is a tool in the management system that enables organizations to correct operational functions and provides feedback around both the internal processes and the external outcomes, in order to improve strategic performance and outcomes continuously. The main goal of this study was to assess the MRD performance with BSC approach in a hospital. This research was an analytical cross-sectional study in which data was collected by questionnaires, forms and observation. The population was the staff of the MRD in a hospital in Najafabad, Isfahan, Iran. To analyze data, first, objectives of the MRD, according to the mission and perspectives of the hospital, were redefined and, second, indicators were measured. Subsequently, findings from the performance were compared with the expected score. In order to achieve the final target, the programs, activities, and plans were reformed. The MRD was successful in absorbing customer satisfaction. From a customer perspective, score in customer satisfaction of admission and statistics sections were 82% and 83%, respectively. The comprehensive nature of the strategy map makes the MRD especially useful as a consensus building and communication tool in the hospital.
Houben, Steven; Frost, Mads; Bardram, Jakob E
explored the integration of paper and digital technology, there are still a wide range of open issues in the design of technologies that integrate digital and paper-based medical records. This paper studies the use of one such novel technology, called the Hybrid Patient Record (HyPR), that is designed......The medical record is a central artifact used to organize, communicate and coordinate information related to patient care. Despite recent deployments of electronic health records (EHR), paper medical records are still widely used because of the affordances of paper. Although a number of approaches...... to digitally augment a paper medical record. We report on two studies: a field study in which we describe the benefits and challenges of using a combination of electronic and paper-based medical records in a large university hospital and a deployment study in which we analyze how 8 clinicians used the Hy...
Patient information recorded in electronic medical records is the most significant set of information of the healthcare system. It assists healthcare providers to introduce high quality care for patients. The aim of this study identifies the security threats associated with electronic medical records and gives recommendations to keep them more secured. The study applied the qualitative research method through a case study. The study conducted seven interviews with medical staff and informatio...
Menachemi, Nir; Mazurenko, Olena; Kazley, Abby Swanson; Diana, Mark L; Ford, Eric W
Previous studies identified individual or practice factors that influence practice-based physicians' electronic medical record (EMR) adoption. Less is known about the market factors that influence physicians' EMR adoption. The aim of this study was to explore the relationship between environmental market characteristics and physicians' EMR adoption. The Health Tracking Physician Survey 2008 and Area Resource File (2008) were combined and analyzed. Binary logistic regression was used to examine the relationship between three dimensions of the market environment (munificence, dynamism, and complexity) and EMR adoption controlling for several physician and practice characteristics. In a nationally representative sample of 4,720 physicians, measures of market dynamism including increases in unemployment, odds ratio (OR) = 0.95, 95% confidence interval (CI) [0.91, 0.99], or poverty rates, OR = 0.93, 95% CI [0.89, 0.96], were negatively associated with EMR adoption. Health maintenance organization penetration, OR = 3.01, 95% CI [1.49, 6.05], another measure of dynamism, was positively associated with EMR adoption. Physicians practicing in areas with a malpractice crisis, OR = 0.82, 95% CI [0.71, 0.94], representing environmental complexity, had lower EMR adoption rates. Understanding how market factors relate to practice-based physicians' EMR adoption can assist policymakers to better target limited resources as they work to realize the national goal of universal EMR adoption and meaningful use.
The Wellness Program Medical Records System collects contact information and other Personally Identifiable Information (PII). Learn how this data is collected, used, accessed, the purpose of data collection, and record retention policies.
Ngo, Elizabeth; Patel, Nachiket; Chandrasekaran, Krishnaswamy; Tajik, A Jamil; Paterick, Timothy E
Comprehensive, detailed documentation in the medical record is critical to patient care and to a physician when allegations of negligence arise. Physicians, therefore, would be prudent to have a clear understanding of this documentation. It is important to understand who is responsible for documentation, what is important to document, when to document, and how to document. Additionally, it should be understood who owns the medical record, the significance of the transition to the electronic medical record, problems and pitfalls when using the electronic medical record, and how the Health Information Technology for Economic and Clinical Health Act affects healthcare providers and health information technology.
Roberta Fernandes Remédio Marques
Full Text Available The request medical records for the instruction of criminal investigations, administrative and judicial proceedings is a reality in Brazil and arouses many questions. This article aims, in the light of the legislation and case law, bring some clarification on the subject, with no claim to exhaust it.
was also thought to motivate the patients to act on the advice given, and the records also served as a reminder to take their ... to use it and to standardise the information that is recorded; and health planners should be motivated to implement .... Table I: Combined list of themes identified and quotations supporting them.
The purpose of this study was to evaluate the Technology Acceptance Model's (TAM) relevance of the intention of nurses to use electronic medical records in acute health care settings. The basic technology acceptance research of Davis (1989) was applied to the specific technology tool of electronic medical records (EMR) in a specific setting…
Franke, Felix; Natora, Michal; Meier, Philipp
to tissue drifts and other sources of variability in the recording setup, the position of the electrodes with respect to the recorded neurons can change causing low recording quality. The contributions of this work are threefold. We introduce a quality measure for the recording position of the electrode...... which should be maximized during recordings and is especially suitable for the use of multi-electrodes. An automated positioning system based on this quality measure is proposed. The system is able to find favorable recording positions and adapts the electrode position smoothly to changes of the neuron...
Allen-Graham, Judith; Mitchell, Lauren; Heriot, Natalie; Armani, Roksana; Langton, David; Levinson, Michele; Young, Alan; Smith, Julian A; Kotsimbos, Tom; Wilson, John W
Objective The aim of the present study was to audit the current use of medical records to determine completeness and concordance with other sources of medical information. Methods Medical records for 40 patients from each of five Melbourne major metropolitan hospitals were randomly selected (n=200). A quantitative audit was performed for detailed patient information and medical record keeping, as well as data collection, storage and utilisation. Using each hospital's current online clinical database, scanned files and paperwork available for each patient audited, the reviewers sourced as much relevant information as possible within a 30-min time allocation from both the record and the discharge summary. Results Of all medical records audited, 82% contained medical and surgical history, allergy information and patient demographics. All audited discharge summaries lacked at least one of the following: demographics, medication allergies, medical and surgical history, medications and adverse drug event information. Only 49% of records audited showed evidence the discharge summary was sent outside the institution. Conclusions The quality of medical data captured and information management is variable across hospitals. It is recommended that medical history documentation guidelines and standardised discharge summaries be implemented in Australian healthcare services. What is known about this topic? Australia has a complex health system, the government has approved funding to develop a universal online electronic medical record system and is currently trialling this in an opt-out style in the Napean Blue Mountains (NSW) and in Northern Queensland. The system was originally named the personally controlled electronic health record but has since been changed to MyHealth Record (2016). In Victoria, there exists a wide range of electronic health records used to varying degrees, with some hospitals still relying on paper-based records and many using scanned medical records
Heurix, Johannes; Fenz, Stefan; Rella, Antonio; Neubauer, Thomas
Health records rank among the most sensitive personal information existing today. An unwanted disclosure to unauthorised parties usually results in significant negative consequences for an individual. Therefore, health records must be adequately protected in order to ensure the individual's privacy. However, health records are also valuable resources for clinical studies and research activities. In order to make the records available for privacy-preserving secondary use, thorough de-personalisation is a crucial prerequisite to prevent re-identification. This paper introduces MEDSEC, a system which automatically converts paper-based health records into de-personalised and pseudonymised documents which can be accessed by secondary users without compromising the patients' privacy. The system converts the paper-based records into a standardised structure that facilitates automated processing and the search for useful information.
... have an adverse effect on the mental or physical health of the individual. Normally, this determination... practitioner. If it is medically indicated that access could have an adverse mental or physical effect on the... Bureau of Medicine and Surgery's Web site at http://navymedicine.med.navy.mil and from DOD at http://www...
Luo, Gang; Peli, Eli
People with moderate central vision loss are legally permitted to drive with a bioptic telescope in 39 US states and the Netherlands, but the safety of bioptic driving remains highly controversial. There is no scientific evidence about bioptic use and its impact on safety. We propose searching for evidence by recording naturalistic driving activities in patients' cars. In a pilot study we used an analogue video system to record two bioptic drivers' daily driving activities for 10 and 5 days, respectively. In this technical report, we also describe our novel digital system that collects vehicle manoeuvre information and enables recording over more extended periods, and discuss our approach to analyzing the vast amount of data. Our observations of telescope use by the pilot subjects were quite different from their reports in a previous survey. One subject used the telescope only seven times in nearly 6 h of driving. For the other subject, the average interval between telescope use was about 2 min, and Mobile (cell) phone use in one trip extended the interval to almost 5 min. We demonstrate that computerized analysis of lengthy recordings based on video, GPS, acceleration, and black box data can be used to select informative segments for efficient off-line review of naturalistic driving behaviours. The inconsistency between self reports and objective data as well as infrequent telescope use underscores the importance of recording bioptic driving behaviours in naturalistic conditions over extended periods. We argue that the new recording system is important for understanding bioptic use behaviours and bioptic driving safety. © 2011 The College of Optometrists.
Ni, Yizhao; Lingren, Todd; Hall, Eric S; Leonard, Matthew; Melton, Kristin; Kirkendall, Eric S
Timely identification of medication administration errors (MAEs) promises great benefits for mitigating medication errors and associated harm. Despite previous efforts utilizing computerized methods to monitor medication errors, sustaining effective and accurate detection of MAEs remains challenging. In this study, we developed a real-time MAE detection system and evaluated its performance prior to system integration into institutional workflows. Our prospective observational study included automated MAE detection of 10 high-risk medications and fluids for patients admitted to the neonatal intensive care unit at Cincinnati Children's Hospital Medical Center during a 4-month period. The automated system extracted real-time medication use information from the institutional electronic health records and identified MAEs using logic-based rules and natural language processing techniques. The MAE summary was delivered via a real-time messaging platform to promote reduction of patient exposure to potential harm. System performance was validated using a physician-generated gold standard of MAE events, and results were compared with those of current practice (incident reporting and trigger tools). Physicians identified 116 MAEs from 10 104 medication administrations during the study period. Compared to current practice, the sensitivity with automated MAE detection was improved significantly from 4.3% to 85.3% (P = .009), with a positive predictive value of 78.0%. Furthermore, the system showed potential to reduce patient exposure to harm, from 256 min to 35 min (P patient exposure to potential harm following MAE events.
Full Text Available This article addresses some of the implications for medical record exchange of very recent developments in technology and tools that support the World Wide Web. It argues that XML (Extensible Mark-up Language is a very good enabling technology for medical record exchange. XML provides a much cheaper way of executing the exchange of medical information that circumvents the need for proprietary software. Use of XML can also simplify solutions to the problems associated with coping with the evolution of medical systems in time. However XML on its own does not resolve all the semantic heterogeneities.
Gnjidic, Danijela; Pearson, Sallie-Anne; Hilmer, Sarah N; Basilakis, Jim; Schaffer, Andrea L; Blyth, Fiona M; Banks, Emily
Increasingly, automated methods are being used to code free-text medication data, but evidence on the validity of these methods is limited. To examine the accuracy of automated coding of previously keyed in free-text medication data compared with manual coding of original handwritten free-text responses (the 'gold standard'). A random sample of 500 participants (475 with and 25 without medication data in the free-text box) enrolled in the 45 and Up Study was selected. Manual coding involved medication experts keying in free-text responses and coding using Anatomical Therapeutic Chemical (ATC) codes (i.e. chemical substance 7-digit level; chemical subgroup 5-digit; pharmacological subgroup 4-digit; therapeutic subgroup 3-digit). Using keyed-in free-text responses entered by non-experts, the automated approach coded entries using the Australian Medicines Terminology database and assigned corresponding ATC codes. Based on manual coding, 1377 free-text entries were recorded and, of these, 1282 medications were coded to ATCs manually. The sensitivity of automated coding compared with manual coding was 79% (n = 1014) for entries coded at the exact ATC level, and 81.6% (n = 1046), 83.0% (n = 1064) and 83.8% (n = 1074) at the 5, 4 and 3-digit ATC levels, respectively. The sensitivity of automated coding for blank responses was 100% compared with manual coding. Sensitivity of automated coding was highest for prescription medications and lowest for vitamins and supplements, compared with the manual approach. Positive predictive values for automated coding were above 95% for 34 of the 38 individual prescription medications examined. Automated coding for free-text prescription medication data shows very high to excellent sensitivity and positive predictive values, indicating that automated methods can potentially be useful for large-scale, medication-related research.
Zelikman, Mikhail; Kruchinin, Sergey
Quality assurance of the x-ray equipment includes a set of various tests among which are installation and periodic exams performed by qualified engineers as well as daily routine tests carried out by the medical staff of the Radiology Department. As a rule, the decision concerning the applicability of the x-ray equipment for using in clinical studies is made on the basis of the routine tests results. The presented method is based on the detector's output signals, Signal-to-Noise Ratio and Modulation Transfer Function evaluation in automated way using the simple test-object's digital image registered with given geometry and x-ray exposure parameters settings. Rectangular 20 mm thick aluminum plate with fixed 1 mm thick well-finished steel edge (for general x-ray radiography/fluoroscopy systems) or 2 mm thick aluminum plate with fixed 1 mm thick aluminum well-finished edge (for digital x-ray mammography systems) can be used as a test equipment. Relevant to the decision concerning the x-ray device operation status are the parameters: deviations from the reference levels of the tube voltage and mAs as well as internal detector's noise variance and detector's gain deviations. Everyday testing procedure includes the following steps. On the first step the roentgenographer places the test-object at the center of the detector's surface, makes an exposure with specified parameters setting and geometry and after this, test results are displayed on the work station monitor or console screen in automatic way. In order to provide an automated regime of the presenting algorithm, the software must be integrated with the program module intended for the x-ray device control. The use of the presented method in clinical practice provides the reliable daily monitoring of the x-ray equipment operation status prior to its utilizing for patient diagnostic process. As a rule, it will take not more than 3-5 minutes for the roentgenographer to complete the routine
The design and implementation of online medical record system (OMRS) ... PROMOTING ACCESS TO AFRICAN RESEARCH. AFRICAN JOURNALS ONLINE (AJOL) ... International Journal of Natural and Applied Sciences. Journal Home ...
Today's medical practice staff communicates remotely with patients, pharmacies, and other medical providers in new ways that go far beyond telephone calls. Patient care and communication are now being provided via telecommunications technologies, including chat/IM, screen, Skype, and other video applications. This new paradigm in patient care, known as "telehealth" or "telemedicine," could put medical practices at risk for noncompliance with strict HIPAA and other regulations. Interaction recording encompasses these new means of communication and can help medical practice staff achieve compliance and reduce financial and liability risks while improving operations and patient care. This article explores what medical practices need to know about interaction recording, what to look for in an interaction recording solution, and how to best utilize that solution to meet compliance, manage liability, and improve patient care.
Full Text Available Background This paper presents a novel approach to searching electronic medical records that is based on concept matching rather than keyword matching. Aims The concept-based approach is intended to overcome specific challenges we identified in searching medical records. Method Queries and documents were transformed from their term-based originals into medical concepts as defined by the SNOMED-CT ontology. Results Evaluation on a real-world collection of medical records showed our concept-based approach outperformed a keyword baseline by 25% in Mean Average Precision. Conclusion The concept-based approach provides a framework for further development of inference based search systems for dealing with medical data.
medical condition caused by it. Explain conditions, such as traumatic bursitis, traumatic neuritis, traumatic myositis , or traumatic synovitis, by... histopathologic findings have a direct bearing on diagnosis and treatment (AR 40-31/BUMEDINST 6510.2F/AFR 160-55). In such cases, the attending physician...Armed Forces Institute of Pathology and Armed Forces Histopathology Centers AR 40–35 Preventive Dentistry AR 40–48 Nonphysician Health Care Providers
Full Text Available Performing a search through previously existing documents, including medical reports, is an integral part of acquiring new information and educational processes. Unfortunately, finding relevant information is not always easy, since many documents are saved in free text formats, thereby making it difficult to search through them. A full-text search is a viable solution for searching through documents. The full-text search makes it possible to efficiently search through large numbers of documents and to find those that contain specific search phrases in a short time. All leading database systems currently offer full-text search, but some do not support the complex morphology of the Czech language. Apache Solr provides full support options and some full-text libraries. This programme provides the good support of the Czech language in the basic installation, and a wide range of settings and options for its deployment over any platform. The library had been satisfactorily tested using real data from the hospitals. Solr provided useful, fast, and accurate searches. However, there is still a need to make adjustments in order to receive effective search results, particularly by correcting typographical errors made not only in the text, but also when entering words in the search box and creating a list of frequently used abbreviations and synonyms for more accurate results.
Bahadori, Amir; Picco, Charles; Flores-McLaughlin, John; Shavers, Mark; Semones, Edward
To automate astronaut organ and effective dose calculations from occupational X-ray and computed tomography (CT) examinations incorporating PCXMC and ImPACT tools and to estimate the associated lifetime cancer risk per the National Council on Radiation Protection & Measurements (NCRP) using MATLAB(R). Methods: NASA follows guidance from the NCRP on its operational radiation safety program for astronauts. NCRP Report 142 recommends that astronauts be informed of the cancer risks from reported exposures to ionizing radiation from medical imaging. MATLAB(R) code was written to retrieve exam parameters for medical imaging procedures from a NASA database, calculate associated dose and risk, and return results to the database, using the Microsoft .NET Framework. This code interfaces with the PCXMC executable and emulates the ImPACT Excel spreadsheet to calculate organ doses from X-rays and CTs, respectively, eliminating the need to utilize the PCXMC graphical user interface (except for a few special cases) and the ImPACT spreadsheet. Results: Using MATLAB(R) code to interface with PCXMC and replicate ImPACT dose calculation allowed for rapid evaluation of multiple medical imaging exams. The user inputs the exam parameter data into the database and runs the code. Based on the imaging modality and input parameters, the organ doses are calculated. Output files are created for record, and organ doses, effective dose, and cancer risks associated with each exam are written to the database. Annual and post-flight exposure reports, which are used by the flight surgeon to brief the astronaut, are generated from the database. Conclusions: Automating PCXMC and ImPACT for evaluation of NASA astronaut medical imaging radiation procedures allowed for a traceable and rapid method for tracking projected cancer risks associated with over 12,000 exposures. This code will be used to evaluate future medical radiation exposures, and can easily be modified to accommodate changes to the risk
Gevers, J. K. M.
The legislation on the Icelandic genetic database provides for an opting-out system for the collection of encoded medical information from individual medical records. From the beginning this has raised criticism, in Iceland itself and abroad. The Supreme Court has now decided that this approach of
Anthropology is now one of the inter-disciplinary scientific fields that is gaining much attention in forensic, socio-cultural, industrial and bio-medical applications. There is a need for a better awareness of some of the impacts - past and present, in the medical practice, of the records that were obtained by workers in this field in ...
Sugranes, Maria R.; Snider, Larry C.
Describes the development of an automated library instruction records management system using microcomputer technology. Development described includes assessment of need, exploration of options, system design, and operational development. System products are identified and operational results are reported based on actual system performance.…
Mehta, Daryush D.; Deliyski, Dimitar D.; Quatieri, Thomas F.; Hillman, Robert E.
Purpose: In prior work, a manually derived measure of vocal fold vibratory phase asymmetry correlated to varying degrees with visual judgments made from laryngeal high-speed videoendoscopy (HSV) recordings. This investigation extended this work by establishing an automated HSV-based framework to quantify 3 categories of vocal fold vibratory…
The introduction of electronic anaesthesia documentation systems was attempted as early as in 1979, although their efficient application has become reality only in the past few years. Today, documentation technology is offered by most of the monitor manufacturers and new systems are being developed by various working groups. The advantages of the electronic protocol are apparent: Continuous high quality documentation, comparability of data due to the availability of a anaesthesia data bank, reduction of the workload of the anaesthesia staff and availability of new additional information. Disadvantages of the electronic protocol have also been discussed. Typically, by going through the process of entering data on the course of the anaesthetic procedure on the protocol sheet, the information is mentally absorbed and evaluated by the anaesthetist. This mental processing of information may, however, be missing when the data are recorded fully automatically--without active involvement on the part of the anaesthetist. It seems that electronic anaesthesia protocols will be required in the near future. The advantages of accurate documentation and quality control in the presence of careful planning will outweight cost considerations. However, at this time, almost none of the commercially available systems have matured to a point where their purchase can be recommended without reservation. There is still a lack of standards for the subsequent exchange of data and a solution to a number of ergonomic problems still remains to be found.
Machida, K; Hayashi, S; Watari, T; Akaike, A; Oyama, K [Tokyo Univ. (Japan). Faculty of Medicine
In order to overcome the rapid expansion of nuclear medicine as a diagnostic tool, we developed the system called ''Radiological Bunin Report System'' to record the clinical report in nuclear medicine automatically using the Tosbac 40 time sharing system electronic computer and the keymat-editor (DTZ 0008A). The system is composed of three modules, that is, reader, editor and writer. The module of the reader is used to register sentences and terms by which one can easily add to or change the registered dictionary. The module of the editor is used to make an intermediate file of radiological reports. With the aid of a keymateditor a radiologist puts in the necessary sentences and terms usually in the following order: procedure, interpretation, diagnosis, recommendation and doctor's code, thus making the intermediate file. In this procedure error message, if any, may be printed out on terminal typewriter. Finally the module of the writer is used to edit the intermediate file and to make sentences. Having stored several clinical reports, the computer automatically produces as many of the English written reports as one wants by printing order. By this system we are able to save man power in the hospital, and the radiological report is standardized. Furthermore, in view of the rapid progress and change of nuclear medicine, it is very important that a radiologist is able to change and add sentences and terms on a keymat very easily so that the system may be kept up-to-date and valuable. We believe this is one of the most characteristic advantages of the system.
Machida, Kikuo; Hayashi, Sanshin; Watari, Tsutomu; Akaike, Akira; Oyama, Kazuyuki
In order to overcome the rapid expansion of nuclear medicine as a diagnostic tool, we developed the system called ''Radiological Bunin Report System'' to record the clinical report in nuclear medicine automatically using the Tosbac 40 time sharing system electronic computer and the keymat-editor (DTZ 0008A). The system is composed of three modules, that is, reader, editor and writer. The module of the reader is used to register sentences and terms by which one can easily add to or change the registered dictionary. The module of the editor is used to make an intermediate file of radiological reports. With the aid of a keymateditor a radiologist puts in the necessary sentences and terms usually in the following order: procedure, interpretation, diagnosis, recommendation and doctor's code, thus making the intermediate file. In this procedure error message, if any, may be printed out on terminal typewriter. Finally the module of the writer is used to edit the intermediate file and to make sentences. Having stored several clinical reports, the computer automatically produces as many of the English written reports as one wants by printing order. By this system we are able to save man power in the hospital, and the radiological report is standardized. Furthermore, in view of the rapid progress and change of nuclear medicine, it is very important that a radiologist is able to change and add sentences and terms on a keymat very easily so that the system may be kept up-to-date and valuable. We believe this is one of the most characteristic advantages of the system. (auth.)
Community Health Service (DHEW/PHS), Arlington, VA. Div. of Health Resources.
The manual provides major topics, objectives, activities and, procedures, references and materials, and assignments for the training program. The topics covered are hospital organization and community role, organization and management of a medical records department, international classification of diseases and operations, medical terminology,…
Chernobilsky, Boris; Boruk, Marina
Pressure is mounting on physicians to adopt electronic medical records. The field of health information technology is evolving rapidly with innovations and policies often outpacing science. We sought to review research and discussions about electronic medical records from the past year to keep abreast of these changes. Original scientific research, especially from otolaryngologists, is lacking in this field. Adoption rates are slowly increasing, but more of the burden is shouldered by physicians despite policy efforts and the clear benefits to third-party payers. Scientific research from the past year suggests lack of improvements and even decreasing quality of healthcare with electronic medical record adoption in the ambulatory care setting. The increasing prevalence and standardization of electronic medical record systems results in a new set of problems including rising costs, audits, difficulties in transition and public concerns about security of information. As major players in healthcare continue to push for adoption, increased effort must be made to demonstrate actual improvements in patient care in the ambulatory care setting. More scientific studies are needed to demonstrate what features of electronic medical records actually improve patient care. Otolaryngologists should help each other by disseminating research about improvement in patient outcomes with their systems since current adoption and outcomes policies do not apply to specialists.
Gottlieb, Laura M; Tirozzi, Karen J; Manchanda, Rishi; Burns, Abby R; Sandel, Megan T
Knowledge of the biological pathways and mechanisms connecting social factors with health has increased exponentially over the past 25 years, yet in most clinical settings, screening and intervention around social determinants of health are not part of standard clinical care. Electronic medical records provide new opportunities for assessing and managing social needs in clinical settings, particularly those serving vulnerable populations. To illustrate the feasibility of capturing information and promoting interventions related to social determinants of health in electronic medical records. Three case studies were examined in which electronic medical records have been used to collect data and address social determinants of health in clinical settings. From these case studies, we identified multiple functions that electronic medical records can perform to facilitate the integration of social determinants of health into clinical systems, including screening, triaging, referring, tracking, and data sharing. If barriers related to incentives, training, and privacy can be overcome, electronic medical record systems can improve the integration of social determinants of health into healthcare delivery systems. More evidence is needed to evaluate the impact of such integration on health care outcomes before widespread adoption can be recommended. Copyright © 2015 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
Waser, Markus; Garn, Heinrich; Benke, Thomas
. However, these preprocessing steps do not allow for complete artifact correction. We propose a method for the automated offline-detection of remaining artifacts after preprocessing in multi-channel EEG recordings. In contrast to existing methods it requires neither adaptive parameters varying between...... recordings nor a topography template. It is suited for short EEG segments and is flexible with regard to target applications. The algorithm was developed and tested on 60 clinical EEG samples of 20 seconds each that were recorded both in resting state and during cognitive activation to gain a realistic...
Dietz, M S; Nath, D D
In summary, medical record practitioners can become successful entrepreneurs with the right motivation. It will be important to overcome the fear and inertia inherent in any bold new venture, to find our "niche," to assume the roles of explorer, artist, judge, and champion, as well as to encourage and promote our development within an organization or in a business of our own. Medical record entrepreneurs need to evaluate and understand current and potential consumers, their current needs, perceptions, and future needs. Entrepreneurs should capitalize on strengths, develop innovative marketing approaches, and apply them. In the current climate of the health care industry, there is a myriad of entrepreneurial opportunities available to the medical record profession. It all begins with the individual.
Frénot, S; Laforest, F
The first generation of computerized medical records stored the data as text, but these records did not bring any improvement in information manipulation. The use of a relational database management system (DBMS) has largely solved this problem as it allows for data requests by using SQL. However, this requires data structuring which is not very appropriate to medicine. Moreover, the use of templates and icon user interfaces has introduced a deviation from the paper-based record (still existing). The arrival of hypertext user interfaces has proven to be of interest to fill the gap between the paper-based medical record and its electronic version. We think that further improvement can be accomplished by using a fully document-based system. We present the architecture, advantages and disadvantages of classical DBMS-based and Web/DBMS-based solutions. We also present a document-based solution and explain its advantages, which include communication, security, flexibility and genericity.
Full Text Available Barbara P Yawn,1 Suzanne Madison,1 Susan Bertram,1 Wilson D Pace,2 Anne Fuhlbrigge,3 Elliot Israel,3 Dawn Littlefield,1 Margary Kurland,1 Michael E Wechsler41Olmsted Medical Center, Department of Research, Rochester, MN, 2UCDHSC, Department of Family Medicine, University of Colorado Health Science Centre, Aurora, CO, 3Brigham and Women's Hospital, Pulmonary and Critical Care Division, Boston, MA, 4National Jewish Medical Center, Division of Pulmonology, Denver, CO, USABackground: Published reports and studies related to patient compensation for clinical trials focus primarily on the ethical issues related to appropriate amounts to reimburse for patient's time and risk burden. Little has been published regarding the method of payment for patient participation. As clinical trials move into widely dispersed community practices and more complex designs, the method of payment also becomes more complex. Here we review the decision process and payment method selected for a primary care-based randomized clinical trial of asthma management in Black Americans.Methods: The method selected is a credit card system designed specifically for clinical trials that allows both fixed and variable real-time payments. We operationalized the study design by providing each patient with two cards, one for reimbursement for study visits and one for payment of medication costs directly to the pharmacies.Results: Of the 1015 patients enrolled, only two refused use of the ClinCard, requesting cash payments for visits and only rarely a weekend or fill-in pharmacist refused to use the card system for payment directly to the pharmacy. Overall, the system has been well accepted by patients and local study teams. The ClinCard administrative system facilitates the fiscal accounting and medication adherence record-keeping by the central teams. Monthly fees are modest, and all 12 study institutional review boards approved use of the system without concern for patient
Patel, Mehul D; Rose, Kathryn M; Owens, Cindy R; Bang, Heejung; Kaufman, Jay S
Occupational data are a common source of workplace exposure and socioeconomic information in epidemiologic research. We compared the performance of two occupation coding methods, an automated software and a manual coder, using occupation and industry titles from U.S. historical records. We collected parental occupational data from 1920-40s birth certificates, Census records, and city directories on 3,135 deceased individuals in the Atherosclerosis Risk in Communities (ARIC) study. Unique occupation-industry narratives were assigned codes by a manual coder and the Standardized Occupation and Industry Coding software program. We calculated agreement between coding methods of classification into major Census occupational groups. Automated coding software assigned codes to 71% of occupations and 76% of industries. Of this subset coded by software, 73% of occupation codes and 69% of industry codes matched between automated and manual coding. For major occupational groups, agreement improved to 89% (kappa = 0.86). Automated occupational coding is a cost-efficient alternative to manual coding. However, some manual coding is required to code incomplete information. We found substantial variability between coders in the assignment of occupations although not as large for major groups.
Zvára Jr., Karel; Kašpar, Václav
Roč. 6, č. 1 (2010), s. 78-82 ISSN 1801-5603 R&D Projects: GA MŠk(CZ) 1M06014 Institutional research plan: CEZ:AV0Z10300504 Keywords : natural language processing * healthcare documentation * medical reports * EHR * finite-state machine * regular expression Subject RIV: IN - Informatics, Computer Science http://www.ejbi.org/en/ejbi/article/61-en-identification-of-units-and-other-terms-in-czech-medical-records.html
Peled, Jonathan U.; Sagher, Oren; Morrow, Jay B.; Dobbie, Alison E.
Background to the Debate Background to the debate: Many countries worldwide are digitizing patients' medical records. In the United States, the recent economic stimulus package (?the American Recovery and Reinvestment Act of 2009?), signed into law by President Obama, includes $US17 billion in incentives for health providers to switch to electronic health records (EHRs). The package also includes $US2 billion for the development of EHR standards and best-practice guidelines. What impact will ...
Anonymization of Electronic Medical Records to Support Clinical Analysis closely examines the privacy threats that may arise from medical data sharing, and surveys the state-of-the-art methods developed to safeguard data against these threats. To motivate the need for computational methods, the book first explores the main challenges facing the privacy-protection of medical data using the existing policies, practices and regulations. Then, it takes an in-depth look at the popular computational privacy-preserving methods that have been developed for demographic, clinical and genomic data sharing, and closely analyzes the privacy principles behind these methods, as well as the optimization and algorithmic strategies that they employ. Finally, through a series of in-depth case studies that highlight data from the US Census as well as the Vanderbilt University Medical Center, the book outlines a new, innovative class of privacy-preserving methods designed to ensure the integrity of transferred medical data for su...
Nishihara, Kyoko; Ohki, Noboru; Kamata, Hideo; Ryo, Eiji; Horiuchi, Shigeko
Fetal movement is an important biological index of fetal well-being. Since 2008, we have been developing an original capacitive acceleration sensor and device that a pregnant woman can easily use to record fetal movement by herself at home during sleep. In this study, we report a newly developed automated software system for analyzing recorded fetal movement. This study will introduce the system and compare its results to those of a manual analysis of the same fetal movement signals (Experiment I). We will also demonstrate an appropriate way to use the system (Experiment II). In Experiment I, fetal movement data reported previously for six pregnant women at 28-38 gestational weeks were used. We evaluated the agreement of the manual and automated analyses for the same 10-sec epochs using prevalence-adjusted bias-adjusted kappa (PABAK) including quantitative indicators for prevalence and bias. The mean PABAK value was 0.83, which can be considered almost perfect. In Experiment II, twelve pregnant women at 24-36 gestational weeks recorded fetal movement at night once every four weeks. Overall, mean fetal movement counts per hour during maternal sleep significantly decreased along with gestational weeks, though individual differences in fetal development were noted. This newly developed automated analysis system can provide important data throughout late pregnancy.
Full Text Available Fetal movement is an important biological index of fetal well-being. Since 2008, we have been developing an original capacitive acceleration sensor and device that a pregnant woman can easily use to record fetal movement by herself at home during sleep. In this study, we report a newly developed automated software system for analyzing recorded fetal movement. This study will introduce the system and compare its results to those of a manual analysis of the same fetal movement signals (Experiment I. We will also demonstrate an appropriate way to use the system (Experiment II. In Experiment I, fetal movement data reported previously for six pregnant women at 28-38 gestational weeks were used. We evaluated the agreement of the manual and automated analyses for the same 10-sec epochs using prevalence-adjusted bias-adjusted kappa (PABAK including quantitative indicators for prevalence and bias. The mean PABAK value was 0.83, which can be considered almost perfect. In Experiment II, twelve pregnant women at 24-36 gestational weeks recorded fetal movement at night once every four weeks. Overall, mean fetal movement counts per hour during maternal sleep significantly decreased along with gestational weeks, though individual differences in fetal development were noted. This newly developed automated analysis system can provide important data throughout late pregnancy.
..., protect the environment, and enhance the marketing of agricultural products. The system of records covers... marketing data; Lease and transfer of allotments and quotas; Appeals; New grower applications; Conservation... boundaries and is recommended as the common location identifier for reporting acreage. Digital renditions of...
Stege, J.P.; Fleuren, M.A.H.; van der Knaap, E.T.W.; Stubbe, J.H.
Since 2004, there have been several initiatives regarding the development of a digital Sport Medical Record (SMD). Interviews with the Netherlands Association of Sports Medicine (VSG) show that there are particular problems with commissioning of the digital SMD. During spring 2012, two focus group
Method: A structured questionnaire was developed, validated and utilized in this quantitative research project. Quantitative data were collected ... Electronic Medical Records (EMR), as a health information technology innovation, has ... EMR will provide a highly effective, reliable, secure, and innovative information system.
Veselý, Arnošt; Zvárová, Jana; Peleška, Jan; Buchtela, David; Anger, Z.
Roč. 75, č. 3-4 (2006), s. 240-245 ISSN 1386-5056 R&D Projects: GA AV ČR 1ET200300413 Institutional research plan: CEZ:AV0Z10300504 Keywords : medical guidelines * electronic health record * GLIF model * reminder facility Subject RIV: IN - Informatics, Computer Science Impact factor: 1.726, year: 2006
Full Text Available of Electronic Medical Records (EMR) systems in developed and developing countries. There is a direct relationship between the income of the country and the use of electronic information and communication systems as part of healthcare systems hence the division...
Buczak, Anna L; Babin, Steven; Moniz, Linda
New algorithms for disease outbreak detection are being developed to take advantage of full electronic medical records (EMRs) that contain a wealth of patient information. However, due to privacy concerns, even anonymized EMRs cannot be shared among researchers, resulting in great difficulty in comparing the effectiveness of these algorithms. To bridge the gap between novel bio-surveillance algorithms operating on full EMRs and the lack of non-identifiable EMR data, a method for generating complete and synthetic EMRs was developed. This paper describes a novel methodology for generating complete synthetic EMRs both for an outbreak illness of interest (tularemia) and for background records. The method developed has three major steps: 1) synthetic patient identity and basic information generation; 2) identification of care patterns that the synthetic patients would receive based on the information present in real EMR data for similar health problems; 3) adaptation of these care patterns to the synthetic patient population. We generated EMRs, including visit records, clinical activity, laboratory orders/results and radiology orders/results for 203 synthetic tularemia outbreak patients. Validation of the records by a medical expert revealed problems in 19% of the records; these were subsequently corrected. We also generated background EMRs for over 3000 patients in the 4-11 yr age group. Validation of those records by a medical expert revealed problems in fewer than 3% of these background patient EMRs and the errors were subsequently rectified. A data-driven method was developed for generating fully synthetic EMRs. The method is general and can be applied to any data set that has similar data elements (such as laboratory and radiology orders and results, clinical activity, prescription orders). The pilot synthetic outbreak records were for tularemia but our approach may be adapted to other infectious diseases. The pilot synthetic background records were in the 4
Pham, Trang; Tran, Truyen; Phung, Dinh; Venkatesh, Svetha
Personalized predictive medicine necessitates the modeling of patient illness and care processes, which inherently have long-term temporal dependencies. Healthcare observations, stored in electronic medical records are episodic and irregular in time. We introduce DeepCare, an end-to-end deep dynamic neural network that reads medical records, stores previous illness history, infers current illness states and predicts future medical outcomes. At the data level, DeepCare represents care episodes as vectors and models patient health state trajectories by the memory of historical records. Built on Long Short-Term Memory (LSTM), DeepCare introduces methods to handle irregularly timed events by moderating the forgetting and consolidation of memory. DeepCare also explicitly models medical interventions that change the course of illness and shape future medical risk. Moving up to the health state level, historical and present health states are then aggregated through multiscale temporal pooling, before passing through a neural network that estimates future outcomes. We demonstrate the efficacy of DeepCare for disease progression modeling, intervention recommendation, and future risk prediction. On two important cohorts with heavy social and economic burden - diabetes and mental health - the results show improved prediction accuracy. Copyright © 2017 Elsevier Inc. All rights reserved.
Chapuis, Claire; Roustit, Matthieu; Bal, Gaëlle; Schwebel, Carole; Pansu, Pascal; David-Tchouda, Sandra; Foroni, Luc; Calop, Jean; Timsit, Jean-François; Allenet, Benoît; Bosson, Jean-Luc; Bedouch, Pierrick
We aimed to assess the impact of an automated dispensing system on the incidence of medication errors related to picking, preparation, and administration of drugs in a medical intensive care unit. We also evaluated the clinical significance of such errors and user satisfaction. Preintervention and postintervention study involving a control and an intervention medical intensive care unit. Two medical intensive care units in the same department of a 2,000-bed university hospital. Adult medical intensive care patients. After a 2-month observation period, we implemented an automated dispensing system in one of the units (study unit) chosen randomly, with the other unit being the control. The overall error rate was expressed as a percentage of total opportunities for error. The severity of errors was classified according to National Coordinating Council for Medication Error Reporting and Prevention categories by an expert committee. User satisfaction was assessed through self-administered questionnaires completed by nurses. A total of 1,476 medications for 115 patients were observed. After automated dispensing system implementation, we observed a reduced percentage of total opportunities for error in the study compared to the control unit (13.5% and 18.6%, respectively; perror (20.4% and 13.5%; perror showed a significant impact of the automated dispensing system in reducing preparation errors (perrors caused no harm (National Coordinating Council for Medication Error Reporting and Prevention category C). The automated dispensing system did not reduce errors causing harm. Finally, the mean for working conditions improved from 1.0±0.8 to 2.5±0.8 on the four-point Likert scale. The implementation of an automated dispensing system reduced overall medication errors related to picking, preparation, and administration of drugs in the intensive care unit. Furthermore, most nurses favored the new drug dispensation organization.
Masiza, Melissa; Mostert-Phipps, Nicky; Pottasa, Dalenca
Incomplete patient medical history compromises the quality of care provided to a patient while well-kept, adequate patient medical records are central to the provision of good quality of care. According to research, patients have the right to contribute to decision-making affecting their health. Hence, the researchers investigated their views regarding a paper-based system and an electronic medical record (EMR). An explorative approach was used in conducting a survey within selected general practices in the Nelson Mandela Metropole. The majority of participants thought that the use of a paper-based system had no negative impact on their health. Participants expressed concerns relating to the confidentiality of their medical records with both storage mediums. The majority of participants indicated they prefer their GP to computerise their consultation details. The main objective of the research on which this poster is based was to investigate the storage medium of preference for patients and the reasons for their preference. Overall, 48% of the 85 participants selected EMRs as their preferred storage medium and the reasons for their preference were also uncovered.
Roberson, David; Connell, Michael; Dillis, Shay; Gauvreau, Kimberlee; Gore, Rebecca; Heagerty, Elaina; Jenkins, Kathy; Ma, Lin; Maurer, Amy; Stephenson, Jessica; Schwartz, Margot
Patients in tertiary care hospitals are more complex than in the past, but the implications of this are poorly understood as "patient complexity" has been difficult to quantify. We developed a tool, the Complexity Ruler, to quantify the amount of data (as bits) in the patient’s medical record. We designated the amount of data in the medical record as the cognitive complexity of the medical record (CCMR). We hypothesized that CCMR is a useful surrogate for true patient complexity and that higher CCMR correlates with risk of major adverse events. The Complexity Ruler was validated by comparing the measured CCMR with physician rankings of patient complexity on specific inpatient services. It was tested in a case-control model of all patients with major adverse events at a tertiary care pediatric hospital from 2005 to 2006. The main outcome measure was an externally reported major adverse event. We measured CCMR for 24 hours before the event, and we estimated lifetime CCMR. Above empirically derived cutoffs, 24-hour and lifetime CCMR were risk factors for major adverse events (odds ratios, 5.3 and 6.5, respectively). In a multivariate analysis, CCMR alone was essentially as predictive of risk as a model that started with 30-plus clinical factors. CCMR correlates with physician assessment of complexity and risk of adverse events. We hypothesize that increased CCMR increases the risk of physician cognitive overload. An automated version of the Complexity Ruler could allow identification of at-risk patients in real time.
Full Text Available Introduction Medical domain is characterized, like many other domains, by an exponential evolution of the knowledge. There are a lot of tools which try to reduce the risk of error apparition in medical life. Medical decision becomes a very hard activity because the human experts, who have to make decisions, can hardly process the huge amounts of data. Diagnosis has a very important role here. It is the first step from a set of therapeutic actions, an error at this level can have dramatic consequences.The aim of this paper is to present a new electronic medical system for using it on patients with hepatitis virusinfection.Results: Hepatitis is a very complicated disease with numerous different types many of them can lead to serious diseases like cirrhosis and liver cancer. An early correct diagnosis and an adequate treatment could reduce the risks of liver cancer apparition or other severe diseases. The main goal of the system is to use artificial intelligence in order to offer predictions about patients infected with hepatitis virus and also to follow the healthcondition of the patient reevaluating at every time the initial diagnosis and suggesting tests and treatment. Our effort is to present a new electronic medical record that will “borrow” data from the standard health record of the patient and other resources where information is saved and will process it and give suggestions for the diagnosis and treatment of the patient and at the same time will use a simple operating environment, such as the internet, thus making it easy to use.Conclusions The medical record is a big step in improving health services in public hospitals. The proposed EMR with the use of artificial intelligence is the next logical step that will help in the diagnosis and early treatment of disease.
Korach, Tzfania; Shreberk-Hassidim, Rony; Thomaidou, Elena; Uzefovsky, Florina; Ayal, Shahar; Ariely, Dan
Objectives Confidentiality of health information is an important aspect of the physician patient relationship. The use of digital medical records has made data much more accessible. To prevent data leakage, many countries have created regulations regarding medical data accessibility. These regulations require a unique user ID for each medical staff member, and this must be protected by a password, which should be kept undisclosed by all means. Methods We performed a four-question Google Forms-based survey of medical staff. In the survey, each participant was asked if he/she ever obtained the password of another medical staff member. Then, we asked how many times such an episode occurred and the reason for it. Results A total of 299 surveys were gathered. The responses showed that 220 (73.6%) participants reported that they had obtained the password of another medical staff member. Only 171 (57.2%) estimated how many time it happened, with an average estimation of 4.75 episodes. All the residents that took part in the study (45, 15%) had obtained the password of another medical staff member, while only 57.5% (38/66) of the nurses reported this. Conclusions The use of unique user IDs and passwords to defend the privacy of medical data is a common requirement in medical organizations. Unfortunately, the use of passwords is doomed because medical staff members share their passwords with one another. Strict regulations requiring each staff member to have it's a unique user ID might lead to password sharing and to a decrease in data safety. PMID:28875052
Tu, Haibo; Yu, Yingtao; Yang, Peng; Tang, Xuejun; Hu, Jianping; Rao, Keqin; Pan, Feng; Xu, Yongyong; Liu, Danhong
This article aims at building clinical data groups for Electronic Medical Records (EMR) in China. These data groups can be reused as basic information units in building the medical sheets of Electronic Medical Record Systems (EMRS) and serve as part of its implementation guideline. The results were based on medical sheets, the forms that are used in hospitals, which were collected from hospitals. To categorize the information in these sheets into data groups, we adopted the Health Level 7 Clinical Document Architecture Release 2 Model (HL7 CDA R2 Model). The regulations and legal documents concerning health informatics and related standards in China were implemented. A set of 75 data groups with 452 data elements was created. These data elements were atomic items that comprised the data groups. Medical sheet items contained clinical records information and could be described by standard data elements that exist in current health document protocols. These data groups match different units of the CDA model. Twelve data groups with 87 standardized data elements described EMR headers, and 63 data groups with 405 standardized data elements constituted the body. The later 63 data groups in fact formed the sections of the model. The data groups had two levels. Those at the first level contained both the second level data groups and the standardized data elements. The data groups were basically reusable information units that served as guidelines for building EMRS and that were used to rebuild a medical sheet and serve as templates for the clinical records. As a pilot study of health information standards in China, the development of EMR data groups combined international standards with Chinese national regulations and standards, and this was the most critical part of the research. The original medical sheets from hospitals contain first hand medical information, and some of their items reveal the data types characteristic of the Chinese socialist national health system
Mirza, Hebah; El-Masri, Samir
Few Healthcare providers have an advanced level of Electronic Medical Record (EMR) adoption. Others have a low level and most have no EMR at all. Cloud computing technology is a new emerging technology that has been used in other industry and showed a great success. Despite the great features of Cloud computing, they haven't been utilized fairly yet in healthcare industry. This study presents an innovative Healthcare Cloud Computing system for Integrating Electronic Health Record (EHR). The proposed Cloud system applies the Cloud Computing technology on EHR system, to present a comprehensive EHR integrated environment.
The electronic medical record (EMR) is a workplace reality for most nurses. Its advantages include a single consolidated record for each person; capacity for data interfaces and alerts; improved interdisciplinary communication; and evidence-based decision support. EMRs can add to work complexity, by forcing better documentation of previously unrecorded data and/or because of poor design. Well-designed and well-implemented computerized provider order entry (CPOE) systems can streamline nurses' work. Generational differences in acceptance of and facility with EMRs can be addressed through open, healthy communication.
Dubovitskaya, Alevtina; Xu, Zhigang; Ryu, Samuel; Schumacher, Michael; Wang, Fusheng
Electronic medical records (EMRs) are critical, highly sensitive private information in healthcare, and need to be frequently shared among peers. Blockchain provides a shared, immutable and transparent history of all the transactions to build applications with trust, accountability and transparency. This provides a unique opportunity to develop a secure and trustable EMR data management and sharing system using blockchain. In this paper, we present our perspectives on blockchain based healthc...
Full Text Available EMRs represent a potential boon to patient care and providers, but to date that potential has been unfulfilled. Data suggest that in some instances EMRs may even produce adverse outcomes. This result probably has occurred because lack of provider input and familiarity with EMRs resulting in the medical records becoming less a tool for patient care and more of a tool for documentation and reimbursement.
Peleška, Jan; Anger, Z.; Buchtela, David; Šebesta, K.; Tomečková, Marie; Veselý, Arnošt; Zvára, K.; Zvárová, Jana
Roč. 11, - (2005), s. 4652-4656 ISSN 1727-1983. [EMBEC'05. European Medical and Biomedical Conference /3./. Prague, 20.11.2005-25.11.2005] R&D Projects: GA AV ČR 1ET200300413 Institutional research plan: CEZ:AV0Z10300504 Keywords : formalization of guidelines in cardilogy * GLIF model * structure electronic health record * algorithm in cardiovascular diagnostics and treatment Subject RIV: BD - Theory of Information
Bereznicki, Bonnie J; Peterson, Gregory M; Jackson, Shane L; Walters, E Haydn; Fitzmaurice, Kimbra D; Gee, Peter R
To use community pharmacy medication records to identify patients whose asthma may not be well managed and then implement and evaluate a multidisciplinary educational intervention to improve asthma management. We used a multisite controlled study design. Forty-two pharmacies throughout Tasmania ran a software application that "data-mined" medication records, generating a list of patients who had received three or more canisters of inhaled short-acting beta(2)-agonists in the preceding 6 months. The patients identified were allocated to an intervention or control group. Pre-intervention data were collected for the period May to November 2006 and post-intervention data for the period December 2006 to May 2007. Intervention patients were contacted by the community pharmacist via mail, and were sent educational material and a letter encouraging them to see their general practitioner for an asthma management review. Pharmacists were blinded to the control patients' identities until the end of the post-intervention period. Dispensing ratio of preventer medication (inhaled corticosteroids [ICSs]) to reliever medication (inhaled short-acting beta(2)-agonists). Thirty-five pharmacies completed the study, providing 702 intervention and 849 control patients. The intervention resulted in a threefold increase in the preventer-to-reliever ratio in the intervention group compared with the control group (P < 0.01) and a higher proportion of patients in the intervention group using ICS therapy than in the control group (P < 0.01). Community pharmacy medication records can be effectively used to identify patients with suboptimal asthma management, who can then be referred to their GP for review. The intervention should be trialled on a national scale to determine the effects on clinical, social, emotional and economic outcomes for people in the Australian community, with a longer follow-up to determine sustainability of the improvements noted.
Moorman, P W; Schuemie, M J; van der Lei, J
In this short review we provide an update of our earlier inventories of publications indexed in MedLine with the MeSH term 'Medical Records Systems, Computerized'. We retrieved and analyzed all references to English articles published before January 1, 2008, and indexed in PubMed with the MeSH term 'Medical Records Systems, Computerized'. We retrieved a total of 11,924 publications, of which 3937 (33%) appeared in a journal with an impact factor. Since 2002 the number of yearly publications, and the number of journals in which those publications appeared, increased. A cluster analysis revealed three clusters: an organizational issues cluster, a technically oriented cluster and a cluster about order-entry and research. Although our previous inventory in 2003 suggested a constant yearly production of publications on electronic medical records since 1998, the current inventory shows another rise in production since 2002. In addition, many new journals and countries have shown interest during the last five years. In the last 15 years, interest in organizational issues remained fairly constant, order entry and research with systems gained attention, while interest in technical issues relatively decreased.
Amra, Sakusic; O'Horo, John C; Singh, Tarun D; Wilson, Gregory A; Kashyap, Rahul; Petersen, Ronald; Roberts, Rosebud O; Fryer, John D; Rabinstein, Alejandro A; Gajic, Ognjen
Long-term cognitive impairment is a common and important problem in survivors of critical illness. We developed electronic search algorithms to identify cognitive impairment and dementia from the electronic medical records (EMRs) that provide opportunity for big data analysis. Eligible patients met 2 criteria. First, they had a formal cognitive evaluation by The Mayo Clinic Study of Aging. Second, they were hospitalized in intensive care unit at our institution between 2006 and 2014. The "criterion standard" for diagnosis was formal cognitive evaluation supplemented by input from an expert neurologist. Using all available EMR data, we developed and improved our algorithms in the derivation cohort and validated them in the independent validation cohort. Of 993 participants who underwent formal cognitive testing and were hospitalized in intensive care unit, we selected 151 participants at random to form the derivation and validation cohorts. The automated electronic search algorithm for cognitive impairment was 94.3% sensitive and 93.0% specific. The search algorithms for dementia achieved respective sensitivity and specificity of 97% and 99%. EMR search algorithms significantly outperformed International Classification of Diseases codes. Automated EMR data extractions for cognitive impairment and dementia are reliable and accurate and can serve as acceptable and efficient alternatives to time-consuming manual data review. Copyright © 2016 Elsevier Inc. All rights reserved.
Brunet, Pierre; Cuggia, Marc; Le Beux, Pierre
Information and communication technology (ICT) becomes an important way for the knowledge transmission, especially in the field of medicine. Podcasting (mobile broadcast content) has recently emerged as an efficient tool for distributing information towards professionals, especially for e-learning contents.The goal of this work is to implement software and hardware tools for collecting medical lectures at its source by direct recording (halls and classrooms) and provide the automatic delivery of these resources for students on different type of devices (computer, smartphone or videogames console). We describe the overall architecture and the methods used by medical students to master this technology in their daily activities. We highlight the benefits and the limits of the Podcast technologies for medical education.
Full Text Available Abstract Background New algorithms for disease outbreak detection are being developed to take advantage of full electronic medical records (EMRs that contain a wealth of patient information. However, due to privacy concerns, even anonymized EMRs cannot be shared among researchers, resulting in great difficulty in comparing the effectiveness of these algorithms. To bridge the gap between novel bio-surveillance algorithms operating on full EMRs and the lack of non-identifiable EMR data, a method for generating complete and synthetic EMRs was developed. Methods This paper describes a novel methodology for generating complete synthetic EMRs both for an outbreak illness of interest (tularemia and for background records. The method developed has three major steps: 1 synthetic patient identity and basic information generation; 2 identification of care patterns that the synthetic patients would receive based on the information present in real EMR data for similar health problems; 3 adaptation of these care patterns to the synthetic patient population. Results We generated EMRs, including visit records, clinical activity, laboratory orders/results and radiology orders/results for 203 synthetic tularemia outbreak patients. Validation of the records by a medical expert revealed problems in 19% of the records; these were subsequently corrected. We also generated background EMRs for over 3000 patients in the 4-11 yr age group. Validation of those records by a medical expert revealed problems in fewer than 3% of these background patient EMRs and the errors were subsequently rectified. Conclusions A data-driven method was developed for generating fully synthetic EMRs. The method is general and can be applied to any data set that has similar data elements (such as laboratory and radiology orders and results, clinical activity, prescription orders. The pilot synthetic outbreak records were for tularemia but our approach may be adapted to other infectious
Full Text Available Gena Kanas1, Libby Morimoto1, Fionna Mowat1, Cynthia O’Malley2, Jon Fryzek3, Robert Nordyke21Exponent, Inc., Menlo Park, CA, USA; 2Amgen, Inc., Thousand Oaks, CA, USA; 3MedImmune, Gaithersburg, MD, USAAbstract: Oncology outcomes research could benefit from the use of an oncology-specific electronic medical record (EMR network. The benefits and challenges of using EMR in general health research have been investigated; however, the utility of EMR for oncology outcomes research has not been explored. Compared to current available oncology databases and registries, an oncology-specific EMR could provide comprehensive and accurate information on clinical diagnoses, personal and medical histories, planned and actual treatment regimens, and post-treatment outcomes, to address research questions from patients, policy makers, the pharmaceutical industry, and clinicians/researchers. Specific challenges related to structural (eg, interoperability, data format/entry, clinical (eg, maintenance and continuity of records, variety of coding schemes, and research-related (eg, missing data, generalizability, privacy issues must be addressed when building an oncology-specific EMR system. Researchers should engage with medical professional groups to guide development of EMR systems that would ultimately help improve the quality of cancer care through oncology outcomes research.Keywords: medical informatics, health care, policy, outcomes
Dong, Wenjie; Zheng, Weilin; Sun, Jianyong; Zhang, Jianguo
With the widely use of healthcare information technology in hospitals, the patients' medical records are more and more complex. To transform the text- or image-based medical information into easily understandable and acceptable form for human, we designed and developed an innovation indexing method which can be used to assign an anatomical 3D structure object to every patient visually to store indexes of the patients' basic information, historical examined image information and RIS report information. When a doctor wants to review patient historical records, he or she can first load the anatomical structure object and the view the 3D index of this object using a digital human model tool kit. This prototype system helps doctors to easily and visually obtain the complete historical healthcare status of patients, including large amounts of medical data, and quickly locate detailed information, including both reports and images, from medical information systems. In this way, doctors can save time that may be better used to understand information, obtain a more comprehensive understanding of their patients' situations, and provide better healthcare services to patients.
Evaluation and comparison of medical records department of Iran university of medical sciences teaching hospitals and medical records department of Kermanshah university of medical sciences teaching hospitals according to the international standards ISO 9001-2000 in 2008
Conclusion: The rate of final conformity of medical records system by the criteria of the ISO 9001-2000 standards in hospitals related to Iran university of medical sciences was greater than in hospitals related to Kermanshah university of medical sciences. And total conformity rate of medical records system in Kermanshah hospitals was low. So the regulation of medical records department with ISO quality management standards can help to elevate its quality.
Batra, Prag; Singh, Enakshi; Bog, Anja; Wright, Mark; Ashley, Euan; Waggott, Daryl
Current medical records are rigid with regards to emerging big biomedical data. Examples of poorly integrated big data that already exist in clinical practice include whole genome sequencing and wearable sensors for real time monitoring. Genome sequencing enables conventional diagnostic interrogation and forms the fundamental baseline for precision health throughout a patients lifetime. Mobile sensors enable tailored monitoring regimes for both reducing risk through precision health intervent...
O'Brien, J.M. Jr.; Rushton, R.O.; Burns, R.E. Jr.
Current industry requirements are becoming more stringent on quality assurance records and documentation for calibration of instruments and dosimetry. A novel method is presented here that will allow a progressive automation scheme to be used in pursuit of that goal. This concept is based on computer-controlled irradiators that can act as stand-alone devices or be interfaced to other components via a computer local area network. In this way, complete systems can be built with modules to create a records management system to meet the needs of small laboratories or large multi-building calibration groups. Different database engines or formats can be used simply by replacing a module. Modules for temperature and pressure monitoring or shipping and receiving can be added, as well as equipment modules for direct IEEE-488 interface to electrometers and other instrumentation
O`Brien, J.M. Jr.; Rushton, R.O.; Burns, R.E. Jr. [Atlan-Tech, Inc., Roswell, GA (United States)
Current industry requirements are becoming more stringent on quality assurance records and documentation for calibration of instruments and dosimetry. A novel method is presented here that will allow a progressive automation scheme to be used in pursuit of that goal. This concept is based on computer-controlled irradiators that can act as stand-alone devices or be interfaced to other components via a computer local area network. In this way, complete systems can be built with modules to create a records management system to meet the needs of small laboratories or large multi-building calibration groups. Different database engines or formats can be used simply by replacing a module. Modules for temperature and pressure monitoring or shipping and receiving can be added, as well as equipment modules for direct IEEE-488 interface to electrometers and other instrumentation.
Tall, Jill M; Hurd, Marie; Gifford, Thomas
Electronic medical records (EMRs) implementation in hospitals and emergency departments (EDs) is becoming increasingly more common. The purpose of this study was to determine the impact of an EMR system on patient-related factors that correlate to ED workflow efficiency. A retrospective chart review assessed monthly census reports of all patients who registered and were treated to disposition during conversion from paper charts to an EMR system. The primary outcome measurement was an analysis of the time of registration to discharge or total ED length of stay as well as rate of those who left without being seen, eloped, or left against medical advice. These data were recorded from 3 periods, for 18 months: before installation of the EMR system (pre-EMR), during acclimation to the EMR, and post acclimation (post-EMR). A total of 61626 individual patient records were collected and analyzed. The total ED length of stay across all patient subtypes was not significantly affected by the installation of the hospital-wide EMR system (P = .481); however, a significant decrease was found for patients who were admitted to the hospital from the ED (P .25). Installation of a hospital-wide EMR system had minimal impact on workflow efficiency parameters in an ED. Copyright © 2015 Elsevier Inc. All rights reserved.
Collmann, Jeff R.
This presentation examines the ethical issues raised by computerized image management and communication systems (IMAC), the ethical principals that should guide development of policies, procedures and practices for IMACS systems, and who should be involved in developing a hospital's approach to these issues. The ready access of computerized records creates special hazards of which hospitals must beware. Hospitals must maintain confidentiality of patient's records while making records available to authorized users as efficiently as possible. The general conditions of contemporary health care undermine protecting the confidentiality of patient record. Patients may not provide health care institutions with information about themselves under conditions of informed consent. The field of information science must design sophisticated systems of computer security that stratify access, create audit trails on data changes and system use, safeguard patient data from corruption, and protect the databases from outside invasion. Radiology professionals must both work with information science experts in their own hospitals to create institutional safeguards and include the adequacy of security measures as a criterion for evaluating PACS systems. New policies and procedures on maintaining computerized patient records must be developed that obligate all members of the health care staff, not just care givers. Patients must be informed about the existence of computerized medical records, the rules and practices that govern their dissemination and given the opportunity to give or withhold consent for their use. Departmental and hospital policies on confidentiality should be reviewed to determine if revisions are necessary to manage computer-based records. Well developed discussions of the ethical principles and administrative policies on confidentiality and informed consent and of the risks posed by computer-based patient records systems should be included in initial and continuing
Amirian, Ilda; Mortensen, Jacob F; Rosenberg, Jacob; Gögenur, Ismail
A thorough and accurate admission medical record is an important tool in ensuring patient safety during the hospital stay. Surgeons' performance might be affected during night shifts due to sleep deprivation. The aim of the study was to assess the quality of admission medical records during day, evening and night time. A total of 1,000 admission medical records were collected from 2009 to 2013 based equally on four diagnoses: mechanical bowel obstruction, appendicitis, gallstone disease and gastrointestinal bleeding. The records were reviewed for errors by a pre-defined checklist based on Danish standards for admission medical records. The time of dictation for the medical record was registered. A total of 1,183 errors were found in 778 admission medical records made during day- and evening time, and 322 errors in 222 admission medical records from night time shifts. No significant overall difference in error was found in the admission medical records when day and evening values were compared to night values. Subgroup analyses made for all four diagnoses showed no difference in day and evening values compared with night time values. Night time deterioration was not seen in the quality of the medical records.
Full Text Available Background and Objectives: Evaluation of the quality of services and provided cares through comparing them with existing standards in order to identify and prioritize problems and trying to fix them are important steps in the audit of clinical functions. This study aimed to improve the quality of performance of medical records registrations about patients admitted to hospital Shahid Madani and deals with the audit of records listed them. Material and Methods: To perform this study, data were collected using researcher checklist. Target data of 30 medical records were gathered. We used software package of Mini Tab and SPSS to develop process statistical control charts and for statistical analysis of data, respectively. Results: By plotting control charts, we determined three specific reasons in the ADMISSION AND DISCHARGE SUMMARY SHEET, four specific reasons in the SUMMARY SHEET, and three specific reasons in CONSULTATION REQUEST SHEET. The lack of the standard form (on-delivered copies of a summary form “with 90%”, lack of the main form in patient's clinical record “with 83.3%”, lack of the patient's procedure “with 73.3%”are ranked as the most defects in SUMMARY SHEET. In the CONSULTATION REQUEST SHEET, failure to comply with doctor's stamp and signature standard with “20%” has highest percentage of defects. In the ADMISSION AND DISCHARGE SUMMARY SHEET nonconformity of standard records, patient's duration of stay “100%”, coding of diseases based on ICD"100%", recording of patient number based on signs and symptoms "93.3%", usingthe abbreviations to record the recognitions "93.3%" have highest percentage of defects respectively. Conclusion: Based on the results of this study and noting that studied standards of process statistical control charts are in the range of control, the quality of standards and the documentations of the records
Dubovitskaya, Alevtina; Xu, Zhigang; Ryu, Samuel; Schumacher, Michael; Wang, Fusheng
Electronic medical records (EMRs) are critical, highly sensitive private information in healthcare, and need to be frequently shared among peers. Blockchain provides a shared, immutable and transparent history of all the transactions to build applications with trust, accountability and transparency. This provides a unique opportunity to develop a secure and trustable EMR data management and sharing system using blockchain. In this paper, we present our perspectives on blockchain based healthcare data management, in particular, for EMR data sharing between healthcare providers and for research studies. We propose a framework on managing and sharing EMR data for cancer patient care. In collaboration with Stony Brook University Hospital, we implemented our framework in a prototype that ensures privacy, security, availability, and fine-grained access control over EMR data. The proposed work can significantly reduce the turnaround time for EMR sharing, improve decision making for medical care, and reduce the overall cost.
Veselý, Arnost; Zvárová, Jana; Peleska, Jan; Buchtela, David; Anger, Zdenek
Electronic Health Record (EHR) systems are now being developed in many places. More advanced systems provide also reminder facilities, usually based on if-then rules. In this paper we propose a method how to build the reminder facility directly upon the guideline interchange format (GLIF) model of medical guidelines. The method compares data items on the input of EHR system with medical guidelines GLIF model and is able to reveal if the input data item, that represents patient diagnosis or proposed patient treatment, contradicts with medical guidelines or not. The reminder facility can be part of EHR system itself or it can be realized by a stand-alone reminder system (SRS). The possible architecture of stand-alone reminder system is described in this paper and the advantages of stand-alone solution are discussed. The part of the EHR system could be also a browser that would present graphical GLIF model in easy to understand manner on the user screen. This browser can be data driven and focus attention of user to the relevant part of medical guidelines GLIF model.
Jagannatha, Abhyuday N; Yu, Hong
Sequence labeling for extraction of medical events and their attributes from unstructured text in Electronic Health Record (EHR) notes is a key step towards semantic understanding of EHRs. It has important applications in health informatics including pharmacovigilance and drug surveillance. The state of the art supervised machine learning models in this domain are based on Conditional Random Fields (CRFs) with features calculated from fixed context windows. In this application, we explored recurrent neural network frameworks and show that they significantly out-performed the CRF models.
Baranowski, Patrick J; Peterson, Kristin L; Statz-Paynter, Jamie L; Zorek, Joseph A
To determine the incidence and cost of medications dispensed despite discontinuation (MDDD) of the medications in the electronic medical record within an integrated health care organization. Dean Health System, with medical clinics and pharmacies linked by an electronic medical record, and a shared health plan and pharmacy benefits management company. Pharmacist-led quality improvement project using retrospective chart review. Electronic medical records, pharmacy records, and prescription claims data from patients 18 years of age or older who had a prescription filled for a chronic condition from June 2012 to August 2013 and submitted a claim through the Dean Health Plan were aggregated and cross-referenced to identify MDDD. Descriptive statistics were used to characterize demographics and MDDD incidence. Fisher's exact test and independent samples t tests were used to compare MDDD and non-MDDD groups. Wholesale acquisition cost was applied to each MDDD event. 7,406 patients met inclusion criteria. For 223 (3%) patients with MDDD, 253 independent events were identified. In terms of frequency per category, antihypertensive agents topped the list, followed, in descending order, by anticonvulsants, antilipemics, antidiabetics, and anticoagulants. Nine medications accounted for 59% (150 of 253) of all MDDD events; these included (again in descending order): gabapentin, atorvastatin, simvastatin, hydrochlorothiazide, lisinopril, warfarin, furosemide, metformin, and metoprolol. Mail-service pharmacies accounted for the highest incidence (5.3%) of MDDD, followed by mass merchandisers (4.6%) and small chains (3.9%). The total cost attributable to MDDD was $9,397.74. Development of a technology-based intervention to decrease the incidence of MDDD may be warranted to improve patient safety and decrease health care costs.
Carpeggiani, Clara; Macerata, Alberto; Morales, Maria Aurora
the aim of this study was to report a ten years experience in the electronic medical record (EMR) use. An estimated 80% of healthcare transactions are still paper-based. an EMR system was built at the end of 1998 in an Italian tertiary care center to achieve total integration among different human and instrumental sources, eliminating paper-based medical records. Physicians and nurses who used EMR system reported their opinions. In particular the hospital activity supported electronically, regarding 4,911 adult patients hospitalized in the 2004- 2008 period, was examined. the final EMR product integrated multimedia document (text, images, signals). EMR presented for the most part advantages and was well adopted by the personnel. Appropriateness evaluation was also possible for some procedures. Some disadvantages were encountered, such as start-up costs, long time required to learn how to use the tool, little to no standardization between systems and the EMR technology. the EMR is a strategic goal for clinical system integration to allow a better health care quality. The advantages of the EMR overcome the disadvantages, yielding a positive return on investment to health care organization.
Full Text Available SummaryObjectives:the aim of this study was to report a ten years experience in the electronic medical record (EMR use. An estimated 80% of healthcare transactions are still paper-based.Methods:an EMR system was built at the end of 1998 in an Italian tertiary care center to achieve total integration among different human and instrumental sources, eliminating paper-based medical records. Physicians and nurses who used EMR system reported their opinions. In particular the hospital activity supported electronically, regarding 4,911 adult patients hospitalized in the 2004- 2008 period, was examined.Results:the final EMR product integrated multimedia document (text, images, signals. EMR presented for the most part advantages and was well adopted by the personnel. Appropriateness evaluation was also possible for some procedures. Some disadvantages were encountered, such as start-up costs, long time required to learn how to use the tool, little to no standardization between systems and the EMR technology.Conclusion:the EMR is a strategic goal for clinical system integration to allow a better health care quality. The advantages of the EMR overcome the disadvantages, yielding a positive return on investment to health care organization.
Lu, Mingshan; Ma, Ching-to Albert
In the health care market managed care has become the latest innovation for the delivery of services. For efficient implementation, the managed care organization relies on accurate information. So clinicians are often asked to report on patients before referrals are approved, treatments authorized, or insurance claims processed. What are clinicians responses to solicitation for information by managed care organizations? The existing health literature has already pointed out the importance of provider gaming, sincere reporting, nudging, and dodging the rules. We assess the consistency of clinicians reports on clients across administrative data and clinical records. For about 1,000 alcohol abuse treatment episodes, we compare clinicians reports across two data sets. The first one, the Maine Addiction Treatment System (MATS), was an administrative data set; the state government used it for program performance monitoring and evaluation. The second was a set of medical record abstracts, taken directly from the clinical records of treatment episodes. A clinician s reporting practice exhibits an inconsistency if the information reported in MATS differs from the information reported in the medical record in a statistically significant way. We look for evidence of inconsistencies in five categories: admission alcohol use frequency, discharge alcohol use frequency, termination status, admission employment status, and discharge employment status. Chi-square tests, Kappa statistics, and sensitivity and specificity tests are used for hypothesis testing. Multiple imputation methods are employed to address the problem of missing values in the record abstract data set. For admission and discharge alcohol use frequency measures, we find, respectively, strong and supporting evidence for inconsistencies. We find equally strong evidence for consistency in reports of admission and discharge employment status, and mixed evidence on report consistency on termination status. Patterns of
Gao, Zan; Detyniecki, Marcin; Chen, Ming-Yu; Wu, Wen; Hauptmann, Alexander G; Wactlar, Howard D
To detect errors when subjects operate a home medical device, we observe them with multiple cameras. We then perform action recognition with a robust approach to recognize action information based on explicitly encoding motion information. This algorithm detects interest points and encodes not only their local appearance but also explicitly models local motion. Our goal is to recognize individual human actions in the operations of a home medical device to see if the patient has correctly performed the required actions in the prescribed sequence. Using a specific infusion pump as a test case, requiring 22 operation steps from 6 action classes, our best classifier selects high likelihood action estimates from 4 available cameras, to obtain an average class recognition rate of 69%.
identification (RFID) tracking methods. RFID could be considered an evolutionary jump of the barcode. Both have significance in business. A barcode is an...Challenges and Potential Effects,” New England Journal of Medicine , no. 364, 10 March 2011, 891. 7 Jamie M. Morin, “Making Every Dollar Count,” Armed Forces...Health Care Challenges and Potential Effects." New England Journal of Medicine , March 2011: 891. "St. John’s Medical Center improves efficiency using
Full Text Available BACKGROUND: Publication records and citation indices often are used to evaluate academic performance. For this reason, obtaining or computing them accurately is important. This can be difficult, largely due to a lack of complete knowledge of an individual's publication list and/or lack of time available to manually obtain or construct the publication-citation record. While online publication search engines have somewhat addressed these problems, using raw search results can yield inaccurate estimates of publication-citation records and citation indices. METHODOLOGY: In this paper, we present a new, automated method that produces estimates of an individual's publication-citation record from an individual's name and a set of domain-specific vocabulary that may occur in the individual's publication titles. Because this vocabulary can be harvested directly from a research web page or online (partial publication list, our method delivers an easy way to obtain estimates of a publication-citation record and the relevant citation indices. Our method works by applying a series of stringent name and content filters to the raw publication search results returned by an online publication search engine. In this paper, our method is run using Google Scholar, but the underlying filters can be easily applied to any existing publication search engine. When compared against a manually constructed data set of individuals and their publication-citation records, our method provides significant improvements over raw search results. The estimated publication-citation records returned by our method have an average sensitivity of 98% and specificity of 72% (in contrast to raw search result specificity of less than 10%. When citation indices are computed using these records, the estimated indices are within of the true value 10%, compared to raw search results which have overestimates of, on average, 75%. CONCLUSIONS: These results confirm that our method provides
Furukawa, Michael F
To estimate the relationship between electronic medical record (EMR) use and efficiency of utilization and provider productivity during visits to US office-based physicians. Cross-sectional analysis of the 2006-2007 National Ambulatory Medical Care Survey. The sample included 62,710 patient visits to 2625 physicians. EMR systems included demographics, clinical notes, prescription orders, and laboratory and imaging results. Efficiency was measured as utilization of examinations, laboratory tests, radiology procedures, health education, nonmedication treatments, and medications. Productivity was measured as total services provided per 20-minute period. Survey-weighted regressions estimated association of EMR use with services provided, visit intensity/duration, and productivity. Marginal effects were estimated by averaging across all visits and by major reason for visit. EMR use was associated with higher probability of any examination (7.7%, 95% confidence interval [CI] = 2.4%, 13.1%); any laboratory test (5.7%, 95% CI = 2.6%, 8.8%); any health education (4.9%, 95% CI = 0.2%, 9.6%); and fewer laboratory tests (-7.1%, 95% CI = -14.2%, -0.1%). During pre/post surgery visits, EMR use was associated with 7.3% (95% CI= -12.9%, -1.8%) fewer radiology procedures. EMR use was not associated with utilization of nonmedication treatments and medications, or visit duration. During routine visits for a chronic problem, EMR use was associated with 11.2% (95% CI = 5.7%, 16.8%) more diagnostic/screening services provided per 20-minute period. EMR use had a mixed association with efficiency and productivity during office visits. EMRs may improve provider productivity, especially during visits for a new problem and routine chronic care.
Banerjee, Pat; Hu, Mengqi; Kannan, Rahul; Krishnaswamy, Srinivasan
The Sensimmer platform represents our ongoing research on simultaneous haptics and graphics rendering of 3D models. For simulation of medical and surgical procedures using Sensimmer, 3D models must be obtained from medical imaging data, such as magnetic resonance imaging (MRI) or computed tomography (CT). Image segmentation techniques are used to determine the anatomies of interest from the images. 3D models are obtained from segmentation and their triangle reduction is required for graphics and haptics rendering. This paper focuses on creating 3D models by automating the segmentation of CT images based on the pixel contrast for integrating the interface between Sensimmer and medical imaging devices, using the volumetric approach, Hough transform method, and manual centering method. Hence, automating the process has reduced the segmentation time by 56.35% while maintaining the same accuracy of the output at ±2 voxels.
Amirian, Ilda; Mortensen, Jacob F; Rosenberg, Jacob
INTRODUCTION: A thorough and accurate admission medical record is an important tool in ensuring patient safety during the hospital stay. Surgeons' performance might be affected during night shifts due to sleep deprivation. The aim of the study was to assess the quality of admission medical records...
A K Lapina
Full Text Available Aim. Improvement of the quality control of dental medical organizations when diagnosing dentoalveolar anomalies and deformities. Methods. A retrospective analysis of an orthodontic patient’s medical record maintenance at the dental clinics of Kazan. Results. Only 30.7% of all the verified documentation were established to be most thoroughly and correctly filled. Information about the obligatory medical insurance policy was indicated only in 2 cards out of all the verified documentation. In all orthodontic patient medical records the fringe benefit category code was absent. The name of the insurance organization in which a patient was unsured, was available only in 2.3% of the cards. Patient’s passport data were available only in 14 (15.9% cards, and the type of payment for services was registered only in 38 (43.2%. The diagnosis established by a referring medical organization was indicated only in 7 (8% of the records. When examining the dental rows of patients, their dimensions and apical bases of the jaws, the shape of the dentition were indicated in 40.9% of the documentation. The contact of adjacent teeth was described in 36.4% of all cases, presence of diastema between the upper jaw incisors was represented in 30.7% of the medical charts of orthodontic patients. The diastema between the lower jaw incisors was reflected in 25 (28.4% medical charts of orthodontic patients. Based on the doctor’s notes in the medical records, it is difficult to understand whether the whole necessary list of diagnostic measures had been performed to the patient in order to confirm this or that orthodontic pathology. Such filling of the medical chart of orthodontic patient at times makes the experts doubt in the correctness of diagnosis of a certain patient. Conclusion. Doctors-orthodontists do not pay enough attention to the collection of anamnesis of the disease, evaluation of the nature of complaints, as well as use of basic and additional methods of
Rover, J.; Goldhaber, M. B.; Steinwand, D.; Nelson, K.; Coan, M.; Wylie, B. K.; Dahal, D.; Wika, S.; Quenzer, R.
Landsat data records of surface reflectance provide a three-decade history of land surface processes. Due to the vast number of these archived records, development of innovative approaches for automated data mining and information retrieval were necessary. Recently, we created a prototype utilizing open source software libraries for automatically generating annual Anderson Level 1 land cover maps and information products from data acquired by the Landsat Mission for the years 1984 to 2013. The automated prototype was applied to two target areas in northwestern and east-central North Dakota, USA. The approach required the National Land Cover Database (NLCD) and two user-input target acquisition year-days. The Landsat archive was mined for scenes acquired within a 100-day window surrounding these target dates, and then cloud-free pixels where chosen closest to the specified target acquisition dates. The selected pixels were then composited before completing an unsupervised classification using the NLCD. Pixels unchanged in pairs of the NLCD were used for training decision tree models in an iterative process refined with model confidence measures. The decision tree models were applied to the Landsat composites to generate a yearly land cover map and related information products. Results for the target areas captured changes associated with the recent expansion of oil shale production and agriculture driven by economics and policy, such as the increase in biofuel production and reduction in Conservation Reserve Program. Changes in agriculture, grasslands, and surface water reflect the local hydrological conditions that occurred during the 29-year span. Future enhancements considered for this prototype include a web-based client, ancillary spatial datasets, trends and clustering algorithms, and the forecasting of future land cover.
Canessa, Enrique; Fonda, Carlo; Zennaro, Marco
The 12-month pre-Ph.D ICTP Diploma Courses in the fields of Condensed Matter Physics, High Energy Physics, Mathematics, Earth System Physics and Basics Physics have been recorded using the automated, low cost recording system called EyA developed in-house. We discuss the technical details on how these recordings were implemented, together with some web usage statistics and students feedback. As yet, no similar endeavor has been made to put on-line a complete high-level Diploma Programme, due to the high costs involved when using alternative recording solutions. These recordings are freely available on the website www.ictp.tv. (author)
Kholghi, Mahnoosh; Sitbon, Laurianne; Zuccon, Guido; Nguyen, Anthony
This paper presents an automatic, active learning-based system for the extraction of medical concepts from clinical free-text reports. Specifically, (1) the contribution of active learning in reducing the annotation effort and (2) the robustness of incremental active learning framework across different selection criteria and data sets are determined. The comparative performance of an active learning framework and a fully supervised approach were investigated to study how active learning reduces the annotation effort while achieving the same effectiveness as a supervised approach. Conditional random fields as the supervised method, and least confidence and information density as 2 selection criteria for active learning framework were used. The effect of incremental learning vs standard learning on the robustness of the models within the active learning framework with different selection criteria was also investigated. The following 2 clinical data sets were used for evaluation: the Informatics for Integrating Biology and the Bedside/Veteran Affairs (i2b2/VA) 2010 natural language processing challenge and the Shared Annotated Resources/Conference and Labs of the Evaluation Forum (ShARe/CLEF) 2013 eHealth Evaluation Lab. The annotation effort saved by active learning to achieve the same effectiveness as supervised learning is up to 77%, 57%, and 46% of the total number of sequences, tokens, and concepts, respectively. Compared with the random sampling baseline, the saving is at least doubled. Incremental active learning is a promising approach for building effective and robust medical concept extraction models while significantly reducing the burden of manual annotation. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: firstname.lastname@example.org.
Full Text Available The developing world faces a series of health crises including HIV/AIDS and tuberculosis that threaten the lives of millions of people. Lack of infrastructure and trained, experienced staff are considered important barriers to scaling up treatment for these diseases. In this paper we explain why information systems are important in many healthcare projects in the developing world. We discuss pilot projects demonstrating that such systems are possible and can expand to manage hundreds of thousands of patients. We also pass on the most important practical lessons in design and implementation from our experience in doing this work. Finally, we discuss the importance of collaboration between projects in the development of electronic medical record systems rather than reinventing systems in isolation, and the use of open standards and open source software.
Polubriaginof, Fernanda C G; Vanguri, Rami; Quinnies, Kayla; Belbin, Gillian M; Yahi, Alexandre; Salmasian, Hojjat; Lorberbaum, Tal; Nwankwo, Victor; Li, Li; Shervey, Mark M; Glowe, Patricia; Ionita-Laza, Iuliana; Simmerling, Mary; Hripcsak, George; Bakken, Suzanne; Goldstein, David; Kiryluk, Krzysztof; Kenny, Eimear E; Dudley, Joel; Vawdrey, David K; Tatonetti, Nicholas P
Heritability is essential for understanding the biological causes of disease but requires laborious patient recruitment and phenotype ascertainment. Electronic health records (EHRs) passively capture a wide range of clinically relevant data and provide a resource for studying the heritability of traits that are not typically accessible. EHRs contain next-of-kin information collected via patient emergency contact forms, but until now, these data have gone unused in research. We mined emergency contact data at three academic medical centers and identified 7.4 million familial relationships while maintaining patient privacy. Identified relationships were consistent with genetically derived relatedness. We used EHR data to compute heritability estimates for 500 disease phenotypes. Overall, estimates were consistent with the literature and between sites. Inconsistencies were indicative of limitations and opportunities unique to EHR research. These analyses provide a validation of the use of EHRs for genetics and disease research. Copyright © 2018 Elsevier Inc. All rights reserved.
Kaufman, Laura; Holland, Jaycelyn; Weinberg, Stuart; Rosenbloom, S Trent
Approximately one fifth of school-aged children spend a significant portion of their year at residential summer camp, and a growing number have chronic medical conditions. Camp health records are essential for safe, efficient care and for transitions between camp and home providers, yet little research exists regarding these systems. To survey residential summer camps for children to determine how camps create, store, and use camper health records. To raise awareness in the informatics community of the issues experienced by health providers working in a special pediatric care setting. We designed a web-based electronic survey concerning medical recordkeeping and healthcare practices at summer camps. 953 camps accredited by the American Camp Association received the survey. Responses were consolidated and evaluated for trends and conclusions. Of 953 camps contacted, 298 (31%) responded to the survey. Among respondents, 49.3% stated that there was no computer available at the health center, and 14.8% of camps stated that there was not any computer available to health staff at all. 41.1% of camps stated that internet access was not available. The most common complaints concerning recordkeeping practices were time burden, adequate completion, and consistency. Summer camps in the United States make efforts to appropriately document healthcare given to campers, but inconsistency and inefficiency may be barriers to staff productivity, staff satisfaction, and quality of care. Survey responses suggest that the current methods used by camps to document healthcare cause limitations in consistency, efficiency, and communications between providers, camp staff, and parents. As of 2012, survey respondents articulated need for a standard software to document summer camp healthcare practices that accounts for camp-specific needs. Improvement may be achieved if documentation software offers the networking capability, simplicity, pediatrics-specific features, and avoidance of
Clou, E; Dompnier, M; Kably, B; Leplay, C; Poupon, E; Archer, V; Paul, M
To secure medical devices' management, the implementation of automated dispensing system in surgical service has been realized. The objective of this study was to evaluate security, organizational and economic impact of installing automated dispensing system for medical devices (ASDM). The implementation took place in a cardiac surgery department. Security impact was assessed by comparing traceability rate of implantable medical devices one year before and one year after installation. Questionnaire on nurses' perception and satisfaction completed this survey. Resupplying costs, stocks' evolution and investments for the implementation of ASDM were the subject of cost-benefit study. After one year, traceability rate is excellent (100%). Nursing staffs were satisfied with 87.5% by this new system. The introduction of ASDM allowed a qualitative and quantitative decrease in stocks, with a reduction of 30% for purchased medical devices and 15% for implantable medical devices in deposit-consignment. Cost-benefit analysis shows a rapid return on investment. Real stock decrease (purchased medical devices) is equivalent to 46.6% of investment. Implementation of ASDM allows to secure storage and dispensing of medical devices. This system has also an important economic impact and appreciated by users. Copyright © 2017 Académie Nationale de Pharmacie. Published by Elsevier Masson SAS. All rights reserved.
Kwoh, Chee K.; Khan, Gul N.; Gillies, Duncan F.
, which is developed to obtain the relative depth of the colon surface in the image by assuming a point light source very close to the camera. If we assume the colon has a shape similar to a tube, then a reasonable approximation of the position of the center of the colon (lumen) will be a function of the direction in which the majority of the normal vectors of shape are pointing. The second layer is the control layer and at this level, a decision model must be built for endoscope navigation and advisory system. The system that we built is the models of probabilistic networks that create a basic, artificial intelligence system for navigation in the colon. We have constructed the probabilistic networks from correlated objective data using the maximum weighted spanning tree algorithm. In the construction of a probabilistic network, it is always assumed that the variables starting from the same parent are conditionally independent. However, this may not hold and will give rise to incorrect inferences. In these cases, we proposed the creation of a hidden node to modify the network topology, which in effect models the dependency of correlated variables, to solve the problem. The conditional probability matrices linking the hidden node to its neighbors are determined using a gradient descent method which minimizing the objective cost function. The error gradients can be treated as updating messages and ca be propagated in any direction throughout any singly connected network to adjust the network parameters. With the above two- level approach, we have been able to build an automated endoscope navigation and advisory system successfully.
Prokosch, H U; Ganslandt, T
Even though today most university hospitals have already implemented commercial hospital information systems and started to build up comprehensive electronic medical records, reuse of such data for data warehousing and research purposes is still very rare. Given this situation, the focus of this paper is to present an overview on exemplary projects, which have already tackled this challenge, reflect on current initiatives within the United States of America and the European Union to establish IT infrastructures for clinical and translational research, and draw attention to new challenges in this area. This paper does not intend to provide a fully comprehensive review on all the issues of clinical routine data reuse. It is based, however, on a presentation of a large variety of historical, but also most recent activities in data warehousing, data retrieval and linking medical informatics with translational research. The article presents an overview of the various international approaches to this issue and illustrates concepts and solutions which have been published, thus giving an impression of activities pursued in this field of medical informatics. Further, problems and open questions, which have also been named in the literature, are presented and three challenges (to establish comprehensive clinical data warehouses, to establish professional IT infrastructure applications supporting clinical trial data capture and to integrate medical record systems and clinical trial databases) related to this area of medical informatics are identified and presented. Translational biomedical research with the aim "to integrate bedside and biology" and to bridge the gap between clinical care and medical research today and in the years to come, provides a large and interesting field for medical informatics researchers. Especially the need for integrating clinical research projects with data repositories built up during documentation of routine clinical care, today still leaves
Gilkerson, Jill; Richards, Jeffrey A; Warren, Steven F; Montgomery, Judith K; Greenwood, Charles R; Kimbrough Oller, D; Hansen, John H L; Paul, Terrance D
This research provided a first-generation standardization of automated language environment estimates, validated these estimates against standard language assessments, and extended on previous research reporting language behavior differences across socioeconomic groups. Typically developing children between 2 to 48 months of age completed monthly, daylong recordings in their natural language environments over a span of approximately 6-38 months. The resulting data set contained 3,213 12-hr recordings automatically analyzed by using the Language Environment Analysis (LENA) System to generate estimates of (a) the number of adult words in the child's environment, (b) the amount of caregiver-child interaction, and (c) the frequency of child vocal output. Child vocalization frequency and turn-taking increased with age, whereas adult word counts were age independent after early infancy. Child vocalization and conversational turn estimates predicted 7%-16% of the variance observed in child language assessment scores. Lower socioeconomic status (SES) children produced fewer vocalizations, engaged in fewer adult-child interactions, and were exposed to fewer daily adult words compared with their higher socioeconomic status peers, but within-group variability was high. The results offer new insight into the landscape of the early language environment, with clinical implications for identification of children at-risk for impoverished language environments.
Full Text Available O presente trabalho relata o desenvolvimento de um penetrógrafo, construído para operar de forma automática, executando um ensaio de penetração com um simples toque no botão de partida. Ele possui incorporado, um sistema dedicado de aquisição de dados, que pode armazenar até 187 ensaios e uma interface de comunicação, dispensando a conexão ao microcomputador ou "datalogger". As condições do ensaio como, por exemplo, data, localização (latitude e longitude e profundidade, podem ser atualizadas, assim como a aferição da célula de carga, via teclado com mostrador de duas linhas. Verificou-se variação de velocidade This paper presents the development of an automatic recording penetrometer, which operates at the touch of a button. It incorporates a data acquisition system, which can store data of 187 tests and has a serial PC interface. The test characterization such as dates, location (latitude and longitude can be recorded as well. The maximum working depth may be set and the load cell calibration can be verified through a keyboard with 2 lines display. A speed variation error of < 5% compared to ASAE standard was verified for cone indices between 500 and 5,684 kPa. The equipment is compact, easy to handle and can realize one test every minute.
Kumar, B Deepak; Kumari, C M Vinaya; Sharada, M S; Mangala, M S
The medical records system of an upcoming teaching hospital in a developing nation was evaluated for its accessibility, completeness, physician satisfaction, presence of any lacunae, suggestion of necessary steps for improvisation and to emphasize the importance of Medical records system in education and research work. The salient aspects of the medical records department were evaluated based on a questionnaire which was evaluated by a team of 40 participants-30 doctors, 5 personnel from Medical Records Department and 5 from staff of Hospital administration. Most of the physicians (65%) were partly satisfied with the existing medical record system. 92.5% were of the opinion that upgradation of the present system is necessary. The need of the hour in the present teaching hospital is the implementation of a hospital-wide patient registration and medical records re-engineering process in the form of electronic medical records system and regular review by the audit commission.
and quantitative methods. The outcomesof this study showed the real necessities of students in learning English to prepare their future at the field of medical record and health information. Findings of the need analysis demonstrate that all four of the language skills were necessary for their academic studies and their target career. There are certain topics related to English for medical record such as medical record staff’ duties, ethical and legal issues in medical record, Hospital statistics, Medical record filling system, Health information system, and so on. Accordingly, this study proposes new ESP materials based on the stakeholders’ needs.It is suggested that textbook or handout of English for Medical Record will be made based on the Need Analysis by ESP designers and ESP lecturers involve actively recognizing the progressive needs of medical record students.
Peter Benjamin Michael Thomas
Full Text Available Background: Providing safe and consistent care requires optimal deployment of medical staff. Ensuring this happens is a significant administrative burden due to complex working patterns. Objective: To describe a pilot feasibility study of the automation of medical duty rostering in a busy tertiary Ophthalmology department. Methods: A cloud based web application was created using Google’s free cloud services. Users access the system via a website which hosts live rosters, and use electronic forms to submit requests which are automatically handled by Google App Scripts. Results: Over a 2-year period (8/2014-6/2016, the system processed 563 leave requests and 300 on call swaps automatically. 3,300 emails and 1,000 forms were automatically generated. User satisfaction was 100% (n=24. Discussion: Many time consuming aspects of roster management were automated with significant time savings to all parties, allowing increased clinical time for doctors involved in administration. Planning for safe staffing levels was supported.
Krakov, A; Kabaha, N; Azuri, J; Moshe, S
Information technologies offer new ways to engage with patients regarding their health, but no studies have been done in occupational health services (OHS). To examine the advantages and disadvantages of providing written and oral medical information to patients in OHS. In this cross-sectional study, data were retrieved from patients visiting four different OHS during 2014-15 for a fitness for work evaluation. We built a semi-quantitative satisfaction questionnaire, with responses ranging on a Likert scale of 1-5 from very dissatisfied (1) to very satisfied (5). There were 287 questionnaires available for analysis. The number of patients who received detailed oral and written information, which included an explanation of their health condition and of the occupational physician's (OP's) decision, was higher in clinics 1 and 3 compared to clinics 2 and 4 (48 and 38% compared to 21 and 31% respectively, P < 0.05). When patients were provided with detailed oral and written information, they declared having a better understanding (4.3 and 4.4 compared to 3.8 respectively, P < 0.001), a higher level of confidence in their OP (4.4 and 4.3 compared to 3.7 and 4 respectively, P < 0.001), a higher level of satisfaction (4.3 and 4.4 compared to 3.8 respectively, P < 0.001) and a higher sense of control and ability to correct the record (1.8 compared to 1.4 respectively, P < 0.01), compared to patients who received partial information. We recommend sharing detailed oral and written medical information with patients in OHS.
To determine the rate of adoption of electronic medical records (EMRs) by physicians across Canada, provincial incentives, and perceived benefits of and barriers to EMR adoption. Data on EMR adoption in Canada were collected from CINAHL, MEDLINE, PubMed, EMBASE, the Cochrane Library, the Health Council of Canada, Canada Health Infoway, government websites, regional EMR associations, and health professional association websites. After removal of duplicate articles, 236 documents were found matching the original search. After using the filter Canada, 12 documents remained. Additional documents were obtained from each province's EMR website and from the Canada Health Infoway website. Since 2006, Canadian EMR adoption rates have increased from about 20% of practitioners to an estimated 62% of practitioners in 2013, with substantial regional disparities ranging from roughly 40% of physicians in New Brunswick and Quebec to more than 75% of physicians in Alberta. Provincial incentives vary widely but appear to have only a weak relationship with the rate of adoption. Many adopters use only a fraction of their software's available functions. User-cited benefits to adoption include time savings, improved record keeping, heightened patient safety, and confidence in retrieved data when EMRs are used efficiently. Barriers to adoption include financial and time constraints, lack of knowledgeable support personnel, and lack of interoperability with hospital and pharmacy systems. Canadian physicians remain at the stage of EMR adoption. Progression in EMR use requires experienced, knowledgeable technical support during implementation, and financial support for the transcription of patient data from paper to electronic media. The interoperability of EMR offerings for hospitals, pharmacies, and clinics is the rate-limiting factor in achieving a unified EMR solution for Canada.
Sarkar, Urmimala; Carter, Jonathan T; Omachi, Theodore A; Vidyarthi, Arpana R; Cucina, Russell; Bokser, Seth; van Eaton, Erik; Blum, Michael
Safe delivery of care depends on effective communication among all health care providers, especially during transfers of care. The traditional medical chart does not adequately support such communication. We designed a patient-tracking tool that enhances provider communication and supports clinical decision making. To develop a problem-based patient-tracking tool, called Sign-out, Information Retrieval, and Summary (SynopSIS), in order to support patient tracking, transfers of care (ie, sign-outs), and daily rounds. Tertiary-care, university-based teaching hospital. SynopSIS compiles and organizes information from the electronic medical record to support hospital discharge and disposition decisions, daily provider decisions, and overnight or cross-coverage decisions. It reflects the provider's patient-care and daily work-flow needs. We plan to use Web-based surveys, audits of daily use, and interdisciplinary focus groups to evaluate SynopSIS's impact on communication between providers, quality of sign-out, patient continuity of care, and rounding efficiency. We expect SynopSIS to improve care by facilitating communication between care teams, standardizing sign-out, and automating daily review of clinical and laboratory trends. SynopSIS redesigns the clinical chart to better serve provider and patient needs. (c) 2007 Society of Hospital Medicine.
Full Text Available Background Ethnicity recording within primary care computerised medical record (CMR systems is suboptimal, exacerbated by tangled taxonomies within current coding systems. Objective To develop a method for extending ethnicity identification using routinely collected data. Methods We used an ontological method to maximise the reliability and prevalence of ethnicity information in the Royal College of General Practitioner’s Research and Surveillance database. Clinical codes were either directly mapped to ethnicity group or utilised as proxy markers (such as language spoken from which ethnicity could be inferred. We compared the performance of our method with the recording rates that would be identified by code lists utilised by the UK pay for the performance system, with the help of the Quality and Outcomes Framework (QOF. Results Data from 2,059,453 patients across 110 practices were included. The overall categorisable ethnicity using QOF codes was 36.26% (95% confidence interval (CI: 36.20%–36.33%. This rose to 48.57% (CI:48.50%–48.64% using the described ethnicity mapping process. Mapping increased across all ethnic groups. The largest increase was seen in the white ethnicity category (30.61%; CI: 30.55%–30.67% to 40.24%; CI: 40.17%–40.30%. The highest relative increase was in the ethnic group categorised as the other (0.04%; CI: 0.03%–0.04% to 0.92%; CI: 0.91%–0.93%. Conclusions This mapping method substantially increases the prevalence of known ethnicity in CMR data and may aid future epidemiological research based on routine data.
Kim, YoungAh; Kim, Sung Soo; Kang, Simon; Kim, Kyungduk; Kim, Jun
This paper describes a mobile Electronic Medical Record (EMR) platform designed to manage and utilize the existing EMR and mobile application with optimized resources. We structured the mEMR to reuse services of retrieval and storage in mobile app environments that have already proven to have no problem working with EMRs. A new mobile architecture-based mobile solution was developed in four steps: the construction of a server and its architecture; screen layout and storyboard making; screen user interface design and development; and a pilot test and step-by-step deployment. This mobile architecture consists of two parts, the server-side area and the client-side area. In the server-side area, it performs the roles of service management for EMR and documents and for information exchange. Furthermore, it performs menu allocation depending on user permission and automatic clinical document architecture document conversion. Currently, Severance Hospital operates an iOS-compatible mobile solution based on this mobile architecture and provides stable service without additional resources, dealing with dynamic changes of EMR templates. The proposed mobile solution should go hand in hand with the existing EMR system, and it can be a cost-effective solution if a quality EMR system is operated steadily with this solution. Thus, we expect this example to be shared with hospitals that currently plan to deploy mobile solutions.
Ajami, Sima; Ketabi, Saeedeh; Sadeghian, Akram; Saghaeinnejad-Isfahani, Sakine
Lean management is a process improvement technique to identify waste actions and processes to eliminate them. The benefits of Lean for healthcare organizations are that first, the quality of the outcomes in terms of mistakes and errors improves. The second is that the amount of time taken through the whole process significantly improves. The purpose of this paper is to improve the Medical Records Department (MRD) processes at Ayatolah-Kashani Hospital in Isfahan, Iran by utilizing Lean management. This research was applied and an interventional study. The data have been collected by brainstorming, observation, interview, and workflow review. The study population included MRD staff and other expert staff within the hospital who were stakeholders and users of the MRD. The MRD were initially taught the concepts of Lean management and then formed into the MRD Lean team. The team then identified and reviewed the current processes subsequently; they identified wastes and values, and proposed solutions. The findings showed that the MRD units (Archive, Coding, Statistics, and Admission) had 17 current processes, 28 wastes, and 11 values were identified. In addition, they offered 27 comments for eliminating the wastes. The MRD is the critical department for the hospital information system and, therefore, the continuous improvement of its services and processes, through scientific methods such as Lean management, are essential. The study represents one of the few attempts trying to eliminate wastes in the MRD.
Miroshnichenko, Iu V; Umarov, S Z
One of the ways of increase of effectiveness and safety of patients medication supplement is the use of automated systems of distribution, through which substantially increases the efficiency and safety of patients' medication supplement, achieves significant economy of material and financial resources for medication assistance and possibility of systematical improvement of its accessibility and quality.
Pattaranit, Rumpan; Chantachum, Vasana; Lekboonyasin, Orathai; Pradubwong, Suteera
The medical record and statistic staffs play a crucial role behind the achievements of treatment and research of physicians, nurses and other health care professionals. The medical record and statistic staff are in charge of keeping patient medical records; creating databases; presenting information; sorting patient's information; providing patient medical records and related information for various medical teams and researchers; Besides, the medical record and statistic staff have collaboration with the Center of Cleft Lip-Palate, Khon Kaen University in association with the Tawanchai Project. The Tawanchai Center is an organization, involving multidisciplinary team which aims to continuing provide care for patients with cleft lip and palate and craniofacial deformities who need a long term of treatment since newborns until the age of 19 years. With support and encouragement from the Tawanchai team, the medical record and statistic staff have involved in research under the Tawanchai Centre since then and produced a number of publications locally and internationally.
Gierl, Mark J; Latifi, Syed; Lai, Hollis; Boulais, André-Philippe; De Champlain, André
Constructed-response tasks, which range from short-answer tests to essay questions, are included in assessments of medical knowledge because they allow educators to measure students' ability to think, reason, solve complex problems, communicate and collaborate through their use of writing. However, constructed-response tasks are also costly to administer and challenging to score because they rely on human raters. One alternative to the manual scoring process is to integrate computer technology with writing assessment. The process of scoring written responses using computer programs is known as 'automated essay scoring' (AES). An AES system uses a computer program that builds a scoring model by extracting linguistic features from a constructed-response prompt that has been pre-scored by human raters and then, using machine learning algorithms, maps the linguistic features to the human scores so that the computer can be used to classify (i.e. score or grade) the responses of a new group of students. The accuracy of the score classification can be evaluated using different measures of agreement. Automated essay scoring provides a method for scoring constructed-response tests that complements the current use of selected-response testing in medical education. The method can serve medical educators by providing the summative scores required for high-stakes testing. It can also serve medical students by providing them with detailed feedback as part of a formative assessment process. Automated essay scoring systems yield scores that consistently agree with those of human raters at a level as high, if not higher, as the level of agreement among human raters themselves. The system offers medical educators many benefits for scoring constructed-response tasks, such as improving the consistency of scoring, reducing the time required for scoring and reporting, minimising the costs of scoring, and providing students with immediate feedback on constructed-response tasks. © 2014
Full Text Available Rich-media describes a broad range of digital interactive media that is increasingly used in the Internet and also in the support of education. Last year, a special pilot audiovisual lecture room was built as a part of the MERLINGO (MEdia-rich Repository of LearnING Objects project solution. It contains all the elements of the modern lecture room determined for the implementation of presentation recordings based on the rich-media technologies and their publication online or on-demand featuring the access of all its elements in the automated mode including automatic editing. Property-preserving Petri net process algebras (PPPA were designed for the specification and verification of the Petri net processes. PPPA does not need to verify the composition of the Petri net processes because all their algebraic operators preserve the specified set of the properties. These original PPPA are significantly generalized for the newly introduced class of the SNT Petri process and agent nets in this paper. The PLACE-SUBST and ASYNC-PROC algebraic operators are defined for this class of Petri nets and their chosen properties are proved. The SNT Petri process and agent nets theory were significantly applied at the design, verification, and implementation of the programming system ensuring the pilot audiovisual lecture room functionality.
Cano, C; Blanco, A; Peshkin, L
Automated understanding of clinical records is a challenging task involving various legal and technical difficulties. Clinical free text is inherently redundant, unstructured, and full of acronyms, abbreviations and domain-specific language which make it challenging to mine automatically. There is much effort in the field focused on creating specialized ontology, lexicons and heuristics based on expert knowledge of the domain. However, ad-hoc solutions poorly generalize across diseases or diagnoses. This paper presents a successful approach for a rapid prototyping of a diagnosis classifier based on a popular computational linguistics platform. The corpus consists of several hundred of full length discharge summaries provided by Partners Healthcare. The goal is to identify a diagnosis and assign co-morbidi-ty. Our approach is based on the rapid implementation of a logistic regression classifier using an existing toolkit: LingPipe (http://alias-i.com/lingpipe). We implement and compare three different classifiers. The baseline approach uses character 5-grams as features. The second approach uses a bag-of-words representation enriched with a small additional set of features. The third approach reduces a feature set to the most informative features according to the information content. The proposed systems achieve high performance (average F-micro 0.92) for the task. We discuss the relative merit of the three classifiers. Supplementary material with detailed results is available at: http:// decsai.ugr.es/~ccano/LR/supplementary_ material/ We show that our methodology for rapid prototyping of a domain-unaware system is effective for building an accurate classifier for clinical records.
Huvila, Isto; Daniels, Mats; Cajander, Åsa; Åhlfeldt, Rose-Mharie
Introduction: We report results of a study of how ordering and reading of printouts of medical records by regular and inexperienced readers relate to how the records are used, to the health information practices of patients, and to their expectations of the usefulness of new e-Health services and online access to medical records. Method: The study…
Blakey, John D; Price, David B; Pizzichini, Emilio; Popov, Todor A; Dimitrov, Borislav D; Postma, Dirkje S; Josephs, Lynn K; Kaplan, Alan; Papi, Alberto; Kerkhof, Marjan; Hillyer, Elizabeth V; Chisholm, Alison; Thomas, Mike
Asthma attacks are common, serious, and costly. Individual factors associated with attacks, such as poor symptom control, are not robust predictors. We investigated whether the rich data available in UK electronic medical records could identify patients at risk of recurrent attacks. We analyzed anonymized, longitudinal medical records of 118,981 patients with actively treated asthma (ages 12-80 years) and 3 or more years of data. Potential risk factors during 1 baseline year were evaluated using univariable (simple) logistic regression for outcomes of 2 or more and 4 or more attacks during the following 2-year period. Predictors with significant univariable association (P attacks included baseline-year markers of attacks (acute oral corticosteroid courses, emergency visits), more frequent reliever use and health care utilization, worse lung function, current smoking, blood eosinophilia, rhinitis, nasal polyps, eczema, gastroesophageal reflux disease, obesity, older age, and being female. The number of oral corticosteroid courses had the strongest association. The final cross-validated models incorporated 19 and 16 risk factors for 2 or more and 4 or more attacks over 2 years, respectively, with areas under the curve of 0.785 (95% CI, 0.780-0.789) and 0.867 (95% CI, 0.860-0.873), respectively. Routinely collected data could be used proactively via automated searches to identify individuals at risk of recurrent asthma attacks. Further research is needed to assess the impact of such knowledge on clinical prognosis. Copyright © 2016 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.
Helmons, Pieter J; Dalton, Ashley J; Daniels, Charles E
The effects of a direct refill program for automated dispensing cabinets (ADCs) on medication-refill errors were studied. This study was conducted in designated acute care areas of a 386-bed academic medical center. A wholesaler-to-ADC direct refill program, consisting of prepackaged delivery of medications and bar-code-assisted ADC refilling, was implemented in the inpatient pharmacy of the medical center in September 2009. Medication-refill errors in 26 ADCs from the general medicine units, the infant special care unit, the surgical and burn intensive care units, and intermediate units were assessed before and after the implementation of this program. Medication-refill errors were defined as an ADC pocket containing the wrong drug, wrong strength, or wrong dosage form. ADC refill errors decreased by 77%, from 62 errors per 6829 refilled pockets (0.91%) to 8 errors per 3855 refilled pockets (0.21%) (p error type detected before the intervention was the incorrect medication (wrong drug, wrong strength, or wrong dosage form) in the ADC pocket. Of the 54 incorrect medications found before the intervention, 38 (70%) were loaded in a multiple-drug drawer. After the implementation of the new refill process, 3 of the 5 incorrect medications were loaded in a multiple-drug drawer. There were 3 instances of expired medications before and only 1 expired medication after implementation of the program. A redesign of the ADC refill process using a wholesaler-to-ADC direct refill program that included delivery of prepackaged medication and bar-code-assisted refill significantly decreased the occurrence of ADC refill errors.
Graber, Mark L; Siegal, Dana; Riah, Heather; Johnston, Doug; Kenyon, Kathy
There is widespread agreement that the full potential of health information technology (health IT) has not yet been realized and of particular concern are the examples of unintended consequences of health IT that detract from the safety of health care or from the use of health IT itself. The goal of this project was to obtain additional information on these health IT-related problems, using a mixed methods (qualitative and quantitative) analysis of electronic health record-related harm in cases submitted to a large database of malpractice suits and claims. Cases submitted to the CRICO claims database and coded during 2012 and 2013 were analyzed. A total of 248 cases (<1%) involving health IT were identified and coded using a proprietary taxonomy that identifies user- and system-related sociotechnical factors. Ambulatory care accounted for most of the cases (146 cases). Cases were most typically filed as a result of an error involving medications (31%), diagnosis (28%), or a complication of treatment (31%). More than 80% of cases involved moderate or severe harm, although lethal cases were less likely in cases from ambulatory settings. Etiologic factors spanned all of the sociotechnical dimensions, and many recurring patterns of error were identified. Adverse events associated with health IT vulnerabilities can cause extensive harm and are encountered across the continuum of health care settings and sociotechnical factors. The recurring patterns provide valuable lessons that both practicing clinicians and health IT developers could use to reduce the risk of harm in the future. The likelihood of harm seems to relate more to a patient's particular situation than to any one class of error.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share thework provided it is properly cited. The work cannot be changed in any way or used
Vaughon, Wendy L; Czaja, Sara J; Levy, Joslyn; Rockoff, Maxine L
Background Electronic health information (eHealth) tools for patients, including patient-accessible electronic medical records (patient portals), are proliferating in health care delivery systems nationally. However, there has been very limited study of the perceived utility and functionality of portals, as well as limited assessment of these systems by vulnerable (low education level, racial/ethnic minority) consumers. Objective The objective of the study was to identify vulnerable consumers’ response to patient portals, their perceived utility and value, as well as their reactions to specific portal functions. Methods This qualitative study used 4 focus groups with 28 low education level, English-speaking consumers in June and July 2010, in New York City. Results Participants included 10 males and 18 females, ranging in age from 21-63 years; 19 non-Hispanic black, 7 Hispanic, 1 non-Hispanic White and 1 Other. None of the participants had higher than a high school level education, and 13 had less than a high school education. All participants had experience with computers and 26 used the Internet. Major themes were enhanced consumer engagement/patient empowerment, extending the doctor’s visit/enhancing communication with health care providers, literacy and health literacy factors, improved prevention and health maintenance, and privacy and security concerns. Consumers were also asked to comment on a number of key portal features. Consumers were most positive about features that increased convenience, such as making appointments and refilling prescriptions. Consumers raised concerns about a number of potential barriers to usage, such as complex language, complex visual layouts, and poor usability features. Conclusions Most consumers were enthusiastic about patient portals and perceived that they had great utility and value. Study findings suggest that for patient portals to be effective for all consumers, portals must be designed to be easy to read, visually
Fareed, Naleef; Ozcan, Yasar A; DeShazo, Jonathan P
Successful implementations and the ability to reap the benefits of electronic medical record (EMR) systems may be correlated with the type of enterprise application strategy that an administrator chooses when acquiring an EMR system. Moreover, identifying the most optimal enterprise application strategy is a task that may have important linkages with hospital performance. This study explored whether hospitals that have adopted differential EMR enterprise application strategies concomitantly differ in their overall efficiency. Specifically, the study examined whether hospitals with a single-vendor strategy had a higher likelihood of being efficient than those with a best-of-breed strategy and whether hospitals with a best-of-suite strategy had a higher probability of being efficient than those with best-of-breed or single-vendor strategies. A conceptual framework was used to formulate testable hypotheses. A retrospective cross-sectional approach using data envelopment analysis was used to obtain efficiency scores of hospitals by EMR enterprise application strategy. A Tobit regression analysis was then used to determine the probability of a hospital being inefficient as related to its EMR enterprise application strategy, while moderating for the hospital's EMR "implementation status" and controlling for hospital and market characteristics. The data envelopment analysis of hospitals suggested that only 32 hospitals were efficient in the study's sample of 2,171 hospitals. The results from the post hoc analysis showed partial support for the hypothesis that hospitals with a best-of-suite strategy were more likely to be efficient than those with a single-vendor strategy. This study underscores the importance of understanding the differences between the three strategies discussed in this article. On the basis of the findings, hospital administrators should consider the efficiency associations that a specific strategy may have compared with another prior to moving toward
Breil, Bernhard; Watermann, Andreas; Haas, Peter; Dziuballe, Philipp; Dugas, Martin
Semantic interoperability is an unsolved problem which occurs while working with medical forms from different information systems or institutions. Standards like ODM or CDA assure structural homogenization but in order to compare elements from different data models it is necessary to use semantic concepts and codes on an item level of those structures. We developed and implemented a web-based tool which enables a domain expert to perform semi-automated coding of ODM-files. For each item it is possible to inquire web services which result in unique concept codes without leaving the context of the document. Although it was not feasible to perform a totally automated coding we have implemented a dialog based method to perform an efficient coding of all data elements in the context of the whole document. The proportion of codable items was comparable to results from previous studies.
Allen, William J; Gabr, Refaat E; Tefera, Getaneh B; Pednekar, Amol S; Vaughn, Matthew W; Narayana, Ponnada A
Biomedical data are quickly growing in volume and in variety, providing clinicians an opportunity for better clinical decision support. Here, we demonstrate a robust platform that uses software automation and high performance computing (HPC) resources to achieve real-time analytics of clinical data, specifically magnetic resonance imaging (MRI) data. We used the Agave application programming interface to facilitate communication, data transfer, and job control between an MRI scanner and an off-site HPC resource. In this use case, Agave executed the graphical pipeline tool GRAphical Pipeline Environment (GRAPE) to perform automated, real-time, quantitative analysis of MRI scans. Same-session image processing will open the door for adaptive scanning and real-time quality control, potentially accelerating the discovery of pathologies and minimizing patient callbacks. We envision this platform can be adapted to other medical instruments, HPC resources, and analytics tools.
Savitri Citra Budi
Evaluation on the existence of laboratory was presumably exploited to consider future development and management as expected that this Laboratory could be taken as example for medical record management in hospitals.
The Medical & Research Study Records of Human Volunteers System collects demographic and medical information on subjects who participate in research. Learn how this data is collected, used, access to the data, and the purpose of data collection.
Full Text Available Integrating a mechanism to store, retrieve and use clinical data with a system to manage medical records enables better utilisation of medical data and improved healthcare. This poster introduces a research project that aims to extend Open...
Margolis, S.; Baker, T.G.; Ritchey, M.G.; Alterescu, S.; Friedman, C.
This paper describes an automated medical information management system within a clinic setting. The system includes an optically scanned data entry system (OpScan), a generalized, interactive retrieval and storage software system(Medical Information Management System, MIMS) and the use of time-sharing. The system has the advantages of minimal hardware purchase and maintenance, rapid data entry and retrieval, user-created programs, no need for user knowledge of computer language or technology and is cost effective. The OpScan-MIMS system has been operational for approximately 16 months in a sexually transmitted disease clinic. The system's application to medical audit, quality assurance, clinic management and clinical training are demonstrated.
... anesthesia services. (B) An updated examination of the patient, including any changes in the patient's... practitioners' orders, nursing notes, reports of treatment, medication records, radiology, and laboratory...
Levin, Jennifer B; Sams, Johnny; Tatsuoka, Curtis; Cassidy, Kristin A; Sajatovic, Martha
Medication nonadherence occurs in 20-60% of persons with bipolar disorder (BD) and is associated with serious negative outcomes, including relapse, hospitalization, incarceration, suicide and high healthcare costs. Various strategies have been developed to measure adherence in BD. This descriptive paper summarizes challenges and workable strategies using electronic medication monitoring in a randomized clinical trial (RCT) in patients with BD. Descriptive data from 57 nonadherent individuals with BD enrolled in a prospective RCT evaluating a novel customized adherence intervention versus control were analyzed. Analyses focused on whole group data and did not assess intervention effects. Adherence was assessed with the self-reported Tablets Routine Questionnaire and the Medication Event Monitoring System (MEMS). The majority of participants were women (74%), African American (69%), with type I BD (77%). Practical limitations of MEMS included misuse in conjunction with pill minders, polypharmacy, cost, failure to bring to research visits, losing the device, and the device impacting baseline measurement. The advantages were more precise measurement, less biased recall, and collecting data from past time periods for missed interim visits. Automated devices such as MEMS can assist investigators in evaluating adherence in patients with BD. Knowing the anticipated pitfalls allows study teams to implement preemptive procedures for successful implementation in BD adherence studies and can help pave the way for future refinements as automated adherence assessment technologies become more sophisticated and readily available.
Dainton, Christopher; Chu, Charlene H
Electronic medical records (EMRs) may address the need for decision and language support for Western clinicians on mobile medical service trips (MSTs) in low resource settings abroad, while providing improved access to records and data management. However, there has yet to be a review of this emerging technology used by MSTs in low-resource settings. The aim of this study is to describe EMR systems designed specifically for use by mobile MSTs in remote settings, and accordingly, determine new opportunities for this technology to improve quality of healthcare provided by MSTs. A MEDLINE, EMBASE, and Scopus/IEEE search and supplementary Google search were performed for EMR systems specific to mobile MSTs. Information was extracted regarding EMR name, organization, scope of use, platform, open source coding, commercial availability, data integration, and capacity for linguistic and decision support. Missing information was requested by email. After screening of 122 abstracts, two articles remained that discussed deployment of EMR systems in MST settings (iChart, SmartList To Go), and thirteen additional EMR systems were found through the Google search. Of these, three systems (Project Buendia, TEBOW, and University of Central Florida's internally developed EMR) are based on modified versions of Open MRS software, while three are smartphone apps (QuickChart EMR, iChart, NotesFirst). Most of the systems use a local network to manage data, while the remaining systems use opportunistic cloud synchronization. Three (TimmyCare, Basil, and Backpack EMR) contain multilingual user interfaces, and only one (QuickChart EMR) contained MST-specific clinical decision support. There have been limited attempts to tailor EMRs to mobile MSTs. Only Open MRS has a broad user base, and other EMR systems should consider interoperability and data sharing with larger systems as a priority. Several systems include tablet compatibility, or are specifically designed for smartphone, which may be
Full Text Available Katy E Trinkley,1 S Michelle Nikels,2 Robert L Page II,1 Melanie S Joy11Skaggs School of Pharmacy and Pharmaceutical Sciences, 2School of Medicine, University of Colorado, Aurora, CO, USA Objective: The purpose of this paper is to serve as a review for primary care providers on the bedside methods for estimating glomerular filtration rate (GFR for dosing and chronic kidney disease (CKD staging and to discuss how automated health information technologies (HIT can enhance clinical documentation of staging and reduce medication errors in patients with CKD.Methods: A nonsystematic search of PubMed (through March 2013 was conducted to determine the optimal approach to estimate GFR for dosing and CKD staging and to identify examples of how automated HITs can improve health outcomes in patients with CKD. Papers known to the authors were included, as were scientific statements. Articles were chosen based on the judgment of the authors.Results: Drug-dosing decisions should be based on the method used in the published studies and package labeling that have been determined to be safe, which is most often the Cockcroft–Gault formula unadjusted for body weight. Although Modification of Diet in Renal Disease is more commonly used in practice for staging, the CKD–Epidemiology Collaboration (CKD–EPI equation is the most accurate formula for estimating the CKD staging, especially at higher GFR values. Automated HITs offer a solution to the complexity of determining which equation to use for a given clinical scenario. HITs can educate providers on which formula to use and how to apply the formula in a given clinical situation, ultimately improving appropriate medication and medical management in CKD patients.Conclusion: Appropriate estimation of GFR is key to optimal health outcomes. HITs assist clinicians in both choosing the most appropriate GFR estimation formula and in applying the results of the GFR estimation in practice. Key limitations of the
Malawi Medical Journal 29 (3): September 2017. Electronic medical ... care, as they enable storage of large amounts of data and ... EMRs. This study assessed factors that affect the use of EMRs in Malawi, particularly at Queen Elizabeth and Kamuzu Central ..... paperless hospitals in Norway : A socio-technical perspective.
Freundlich, Robert E; Grondin, Louise; Tremper, Kevin K; Saran, Kelly A; Kheterpal, Sachin
In this case report, the authors present an adverse event possibly caused by miscommunication among three separate medical teams at their hospital. The authors then discuss the hospital's root cause analysis and its proposed solutions, focusing on the subsequent hospital-wide implementation of an automated electronic reminder for abnormal laboratory values that may have helped to prevent similar medical errors.
Chambert, Thierry A.; Waddle, J. Hardin; Miller, David A.W.; Walls, Susan; Nichols, James D.
The development and use of automated species-detection technologies, such as acoustic recorders, for monitoring wildlife are rapidly expanding. Automated classification algorithms provide a cost- and time-effective means to process information-rich data, but often at the cost of additional detection errors. Appropriate methods are necessary to analyse such data while dealing with the different types of detection errors.We developed a hierarchical modelling framework for estimating species occupancy from automated species-detection data. We explore design and optimization of data post-processing procedures to account for detection errors and generate accurate estimates. Our proposed method accounts for both imperfect detection and false positive errors and utilizes information about both occurrence and abundance of detections to improve estimation.Using simulations, we show that our method provides much more accurate estimates than models ignoring the abundance of detections. The same findings are reached when we apply the methods to two real datasets on North American frogs surveyed with acoustic recorders.When false positives occur, estimator accuracy can be improved when a subset of detections produced by the classification algorithm is post-validated by a human observer. We use simulations to investigate the relationship between accuracy and effort spent on post-validation, and found that very accurate occupancy estimates can be obtained with as little as 1% of data being validated.Automated monitoring of wildlife provides opportunity and challenges. Our methods for analysing automated species-detection data help to meet key challenges unique to these data and will prove useful for many wildlife monitoring programs.
Barr, Paul J; Dannenberg, Michelle D; Ganoe, Craig H; Haslett, William; Faill, Rebecca; Hassanpour, Saeed; Das, Amar; Arend, Roger; Masel, Meredith C; Piper, Sheryl; Reicher, Haley; Ryan, James; Elwyn, Glyn
Providing patients with recordings of their clinic visits enhances patient and family engagement, yet few organizations routinely offer recordings. Challenges exist for organizations and patients, including data safety and navigating lengthy recordings. A secure system that allows patients to easily navigate recordings may be a solution. The aim of this project is to develop and test an interoperable system to facilitate routine recording, the Open Recording Automated Logging System (ORALS), with the aim of increasing patient and family engagement. ORALS will consist of (1) technically proficient software using automated machine learning technology to enable accurate and automatic tagging of in-clinic audio recordings (tagging involves identifying elements of the clinic visit most important to patients [eg, treatment plan] on the recording) and (2) a secure, easy-to-use Web interface enabling the upload and accurate linkage of recordings to patients, which can be accessed at home. We will use a mixed methods approach to develop and formatively test ORALS in 4 iterative stages: case study of pioneer clinics where recordings are currently offered to patients, ORALS design and user experience testing, ORALS software and user interface development, and rapid cycle testing of ORALS in a primary care clinic, assessing impact on patient and family engagement. Dartmouth's Informatics Collaboratory for Design, Development and Dissemination team, patients, patient partners, caregivers, and clinicians will assist in developing ORALS. We will implement a publication plan that includes a final project report and articles for peer-reviewed journals. In addition to this work, we will regularly report on our progress using popular relevant Tweet chats and online using our website, www.openrecordings.org. We will disseminate our work at relevant conferences (eg, Academy Health, Health Datapalooza, and the Institute for Healthcare Improvement Quality Forums). Finally, Iora Health, a
... accurate medical records to ensure adequate patient care. (a) Standard: Organization. The ASC must develop and maintain a system for the proper collection, storage, and use of patient records. (b) Standard...) Patient identification. (2) Significant medical history and results of physical examination. (3) Pre...
Tuil, W.S.; Hoopen, A.J. ten; Braat, D.D.M.; Vries Robbé, P.F. de; Kremer, J.A.M.
BACKGROUND: Generic patient-accessible medical records have shown promise in enhancing patient-centred care for patients with chronic diseases. We sought to design, implement and evaluate a patient-accessible medical record specifically for patients undergoing a course of assisted reproduction (IVF
Over the course of 18 months, we were able to develop, deploy and iterate upon the electronic medical record, and then deploy the refined product at an additional facility within only four weeks. Our experience suggests the feasibility of an integrated electronic medical record for public sector care delivery even in settings of rural poverty.
Amirian, Ilda; Mortensen, Jacob F; Rosenberg, Jacob
INTRODUCTION: A thorough and accurate admission medical record is an important tool in ensuring patient safety during the hospital stay. Surgeons' performance might be affected during night shifts due to sleep deprivation. The aim of the study was to assess the quality of admission medical records...
Risoer, Bettina Wulff; Lisby, Marianne; Soerensen, Jan
Objectives To evaluate the cost-effectiveness of an automated medication system (AMS) implemented in a Danish hospital setting. Methods An economic evaluation was performed alongside a controlled before-and-after effectiveness study with one control ward and one intervention ward. The primary...... outcome measure was the number of errors in the medication administration process observed prospectively before and after implementation. To determine the difference in proportion of errors after implementation of the AMS, logistic regression was applied with the presence of error(s) as the dependent...... variable. Time, group, and interaction between time and group were the independent variables. The cost analysis used the hospital perspective with a short-term incremental costing approach. The total 6-month costs with and without the AMS were calculated as well as the incremental costs. The number...
Cheong, P Y; Goh, L G; Ong, R; Wong, P K
Advances in microcomputer hardware and software technology have made computerised outpatient medical records practical. We have developed a programme based on the Summary Time-Oriented Record (STOR) system which complements existing paper-based record keeping. The elements of the Problem Oriented Medical Record (POMR) System are displayed in two windows within one screen, namely, the SOAP (Subjective information, Objective information, Assessments and Plans) elements in the Reason For Encounter (RFE) window and the problem list with outcomes in the Problem List (PL) window. Context sensitive child windows display details of plans of management in the RFE window and clinical notes in the PL window. The benefits of such innovations to clinical decision making and practice based research and its medico-legal implications are discussed.
Rexhepi, Hanife; Åhlfeldt, Rose-Mharie; Cajander, Åsa; Huvila, Isto
Patients' access to their online medical records serves as one of the cornerstones in the efforts to increase patient engagement and improve healthcare outcomes. The aim of this article is to provide in-depth understanding of cancer patients' attitudes and experiences of online medical records, as well as an increased understanding of the complexities of developing and launching e-Health services. The study result confirms that online access can help patients prepare for doctor visits and to understand their medical issues. In contrast to the fears of many physicians, the study shows that online access to medical records did not generate substantial anxiety, concerns or increased phone calls to the hospital.
Anna Santa Guzzo; Mario Tecca; Enrico Marinelli; Claudio Bontempi; Caterina Palazzo; Paolo Ursillo; Giuseppe Ferro; Anna Miani; Annunziata Salvati; Stefania Catanzaro; Massimiliano Chiarini; Domenica Vittoria Colamesta; Domenico Cacchio; Patrizia Sposato; Anna Maria Lombardi
Introduction: The medical record was defined by the Italian Ministry of Health in 1992 as "the information tool designed to record all relevant demographic and clinical information on a patient during a single hospitalization episode". Retrospective analysis of medical records is a tool for selecting direct and indirect indicators of critical issues (organizational, management, technical and professional issues). The project’s purpose being the promotion of an evaluation and self-evaluation ...
Liu Shuzhen; Gu Peidi; Luo Yanlin
In this paper, using the technology of XML and middleware to design and implement a unified electronic medical records storage archive management system and giving a common storage management model. Using XML to describe the structure of electronic medical records, transform the medical data from traditional 'business-centered' medical information into a unified 'patient-centered' XML document and using middleware technology to shield the types of the databases at different departments of the hospital and to complete the information integration of the medical data which scattered in different databases, conducive to information sharing between different hospitals. (authors)
... pesticide required to be maintained under § 110.3 is necessary to provide medical treatment or first aid to... care professional, to be a medical emergency, the record information of the restricted use pesticide, relating to the medical emergency, shall be provided immediately. (b)(1) The attending licensed health care...
Full Text Available Abstract Background The identification of patients who pose an epidemic hazard when they are admitted to a health facility plays a role in preventing the risk of hospital acquired infection. An automated clinical decision support system to detect suspected cases, based on the principle of syndromic surveillance, is being developed at the University of Lyon's Hôpital de la Croix-Rousse. This tool will analyse structured data and narrative reports from computerized emergency department (ED medical records. The first step consists of developing an application (UrgIndex which automatically extracts and encodes information found in narrative reports. The purpose of the present article is to describe and evaluate this natural language processing system. Methods Narrative reports have to be pre-processed before utilizing the French-language medical multi-terminology indexer (ECMT for standardized encoding. UrgIndex identifies and excludes syntagmas containing a negation and replaces non-standard terms (abbreviations, acronyms, spelling errors.... Then, the phrases are sent to the ECMT through an Internet connection. The indexer's reply, based on Extensible Markup Language, returns codes and literals corresponding to the concepts found in phrases. UrgIndex filters codes corresponding to suspected infections. Recall is defined as the number of relevant processed medical concepts divided by the number of concepts evaluated (coded manually by the medical epidemiologist. Precision is defined as the number of relevant processed concepts divided by the number of concepts proposed by UrgIndex. Recall and precision were assessed for respiratory and cutaneous syndromes. Results Evaluation of 1,674 processed medical concepts contained in 100 ED medical records (50 for respiratory syndromes and 50 for cutaneous syndromes showed an overall recall of 85.8% (95% CI: 84.1-87.3. Recall varied from 84.5% for respiratory syndromes to 87.0% for cutaneous syndromes. The
Patel, M. N.; Looney, P.; Young, K.; Halling-Brown, M. D.
Radiological imaging is fundamental within the healthcare industry and has become routinely adopted for diagnosis, disease monitoring and treatment planning. Over the past two decades both diagnostic and therapeutic imaging have undergone a rapid growth, the ability to be able to harness this large influx of medical images can provide an essential resource for research and training. Traditionally, the systematic collection of medical images for research from heterogeneous sites has not been commonplace within the NHS and is fraught with challenges including; data acquisition, storage, secure transfer and correct anonymisation. Here, we describe a semi-automated system, which comprehensively oversees the collection of both unprocessed and processed medical images from acquisition to a centralised database. The provision of unprocessed images within our repository enables a multitude of potential research possibilities that utilise the images. Furthermore, we have developed systems and software to integrate these data with their associated clinical data and annotations providing a centralised dataset for research. Currently we regularly collect digital mammography images from two sites and partially collect from a further three, with efforts to expand into other modalities and sites currently ongoing. At present we have collected 34,014 2D images from 2623 individuals. In this paper we describe our medical image collection system for research and discuss the wide spectrum of challenges faced during the design and implementation of such systems.
Mohammad Parsa Mahjob
Full Text Available Background and objective: Medical record documentation, often use to protect the patients legal rights, also providing information for medical researchers, general studies, education of health care staff and qualitative surveys is used. There is a need to control the amount of data entered in the medical record sheets of patients, considering the completion of these sheets is often carried out after completion of service delivery to the patients. Therefore, in this study the prevalence of completeness of medical history, operation reports, and physician order sheets by different documentaries in Jahrom teaching hospitals during year 2009 was analyzed. Methods and Materials: In this descriptive / retrospective study, the 400 medical record sheets of the patients from two teaching hospitals affiliated to Jahrom medical university was randomly selected. The tool of data collection was a checklist based on the content of medical history sheet, operation report and physician order sheets. The data were analyzed by SPSS (Version10 software and Microsoft Office Excel 2003. Results: Average of personal (Demography data entered in medical history, physician order and operation report sheets which is done by department's secretaries were 32.9, 35.8 and 40.18 percent. Average of clinical data entered by physician in medical history sheet is 38 percent. Surgical data entered by the surgeon in operation report sheet was 94.77 percent. Average of data entered by operation room's nurse in operation report sheet was 36.78 percent; Average of physician order data in physician order sheet entered by physician was 99.3 percent. Conclusion: According to this study, the rate of completed record papers reviewed by documentary in Jahrom teaching hospitals were not desirable and in some cases were very weak and incomplete. This deficiency was due to different reason such as medical record documentaries negligence, lack of adequate education for documentaries, High work
Simon Steven R
Full Text Available Abstract Background Documentation in the medical record facilitates the diagnosis and treatment of patients. Few studies have assessed the quality of outpatient medical record documentation, and to the authors' knowledge, none has conclusively determined the correlates of chart documentation. We therefore undertook the present study to measure the rates of documentation of quality of care measures in an outpatient primary care practice setting that utilizes an electronic medical record. Methods We reviewed electronic medical records from 834 patients receiving care from 167 physicians (117 internists and 50 pediatricians at 14 sites of a multi-specialty medical group in Massachusetts. We abstracted information for five measures of medical record documentation quality: smoking history, medications, drug allergies, compliance with screening guidelines, and immunizations. From other sources we determined physicians' specialty, gender, year of medical school graduation, and self-reported time spent teaching and in patient care. Results Among internists, unadjusted rates of documentation were 96.2% for immunizations, 91.6% for medications, 88% for compliance with screening guidelines, 61.6% for drug allergies, 37.8% for smoking history. Among pediatricians, rates were 100% for immunizations, 84.8% for medications, 90.8% for compliance with screening guidelines, 50.4% for drug allergies, and 20.4% for smoking history. While certain physician and patient characteristics correlated with some measures of documentation quality, documentation varied depending on the measure. For example, female internists were more likely than male internists to document smoking history (odds ratio [OR], 1.90; 95% confidence interval [CI], 1.27 – 2.83 but were less likely to document drug allergies (OR, 0.51; 95% CI, 0.35 – 0.75. Conclusions Medical record documentation varied depending on the measure, with room for improvement in most domains. A variety of
Cheung, Ka-Chun; van den Bemt, Patricia M. L. A.; Bouvy, Marcel L.; Wensing, Michel; De Smet, Peter A. G. M.
Introduction Automated dose dispensing (ADD) is being introduced in several countries and the use of this technology is expected to increase as a growing number of elderly people need to manage their medication at home. ADD aims to improve medication safety and treatment adherence, but it may introduce new safety issues. This descriptive study provides insight into the nature and consequences of medication incidents related to ADD, as reported by healthcare professionals in community pharmacies and hospitals. Methods The medication incidents that were submitted to the Dutch Central Medication incidents Registration (CMR) reporting system were selected and characterized independently by two researchers. Main Outcome Measures Person discovering the incident, phase of the medication process in which the incident occurred, immediate cause of the incident, nature of incident from the healthcare provider's perspective, nature of incident from the patient's perspective, and consequent harm to the patient caused by the incident. Results From January 2012 to February 2013 the CMR received 15,113 incidents: 3,685 (24.4%) incidents from community pharmacies and 11,428 (75.6%) incidents from hospitals. Eventually 1 of 50 reported incidents (268/15,113 = 1.8%) were related to ADD; in community pharmacies more incidents (227/3,685 = 6.2%) were related to ADD than in hospitals (41/11,428 = 0.4%). The immediate cause of an incident was often a change in the patient's medicine regimen or relocation. Most reported incidents occurred in two phases: entering the prescription into the pharmacy information system and filling the ADD bag. Conclusion A proportion of incidents was related to ADD and is reported regularly, especially by community pharmacies. In two phases, entering the prescription into the pharmacy information system and filling the ADD bag, most incidents occurred. A change in the patient's medicine regimen or relocation was the immediate causes of an incident
Barry, J.M.; Pollard, J.P.; Tucker, A.D.
Since its inception in 1958 most of the staff of the AAEC Research Establishment at Lucas Heights have had annual medical examinations. Medical information accrued since 1966 has been collected as an ADD database to allow ad hoc enquiries to be made against the data. Details are given of the database schema and numerous support routines ranging from the integrity checking of input data to analysis and plotting of the summary results
Skrøvseth, Stein Olav; Augestad, Knut Magne; Ebadollahi, Shahram
To precisely define the utility of tests in a clinical pathway through data-driven analysis of the electronic medical record (EMR). The information content was defined in terms of the entropy of the expected value of the test related to a given outcome. A kernel density classifier was used to estimate the necessary distributions. To validate the method, we used data from the EMR of the gastrointestinal department at a university hospital. Blood tests from patients undergoing surgery for gastrointestinal surgery were analyzed with respect to second surgery within 30 days of the index surgery. The information content is clearly reflected in the patient pathway for certain combinations of tests and outcomes. C-reactive protein tests coupled to anastomosis leakage, a severe complication show a clear pattern of information gain through the patient trajectory, where the greatest gain from the test is 3-4 days post index surgery. We have defined the information content in a data-driven and information theoretic way such that the utility of a test can be precisely defined. The results reflect clinical knowledge. In the case we used the tests carry little negative impact. The general approach can be expanded to cases that carry a substantial negative impact, such as in certain radiological techniques. Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.
Dosso, Stan; Dettmer, Jan; Holland, Charles; Mandolesi, Eric
This work develops an automated Bayesian method to infer fluid seabed properties as a function of depth along tracks that are surveyed by an autonomous underwater vehicle (AUV). The AUV tows an acoustic source and a 32-element array. The source bandwidth is from 950 to 3000 Hz and frequency-modulated signals are emitted at regular intervals ('pings') as the AUV moves along the track. The recordings of each ping are processed to account for source directionality and reflection coefficients as a function of frequency and grazing angle are extracted by taking the ratio of time-windowed direct and bottom-interacted paths. Each ping provides one data set. This process results in large data volumes with an information content that is much higher than for traditional seismic profiling. However, extracting interpretable results about the lateral and vertical spatial variability of the seabed requires sophisticated and efficient inversion methods. The seabed is approximated as a horizontally stratified, lossy fluid for each ping. Each layer is homogeneous and parametrized by a thickness, velocity, density and attenuation. Since both source and array are towed close to the seabed, a plane-wave approximation is not sufficient to model these data and spherical reflection coefficients must be computed to predict data. Therefore, for each specular angle at each frequency, the Sommerfeld integral is solved efficiently by massively parallel implementation of Levin integration on a graphics processing unit (GPU). The inverse problem is strongly non-linear and requires application of Bayesian sampling to quantify parameter uncertainties. To account for the unknown number of layers in the seabed at each ping, the seabed is parametrized by a trans-dimensional (trans-D) model which treats the number of layers as unknown. To constrain model complexity and improve efficiency, we apply a Poisson prior with even-numbered order statistics to the number of layers. The trans-D model is
The "global medical record +" can be offered to all 45 to 75 year-old patients in the form of a prevention module within the global medical record and which the general practitioner and the patient will regularly update. It will include in particular an assessment of cardiovascular risk, cervical, breast and colon cancer screening, a check of main adult vaccinations, as well as a primary prevention section focused on smoking, alcohol consumption and various hygiene and dietary measures. The inclusion of this module in a computerized medical record will make it more efficient and will lighten the practitioner's workload.
David Franklin Niedrig
Full Text Available Benzodiazepines and "Z-drug" GABA-receptor modulators (BDZ are among the most frequently used drugs in hospitals. Adverse drug events (ADE associated with BDZ can be the result of preventable medication errors (ME related to dosing, drug interactions and comorbidities. The present study evaluated inpatient use of BDZ and related ME and ADE.We conducted an observational study within a pharmacoepidemiological database derived from the clinical information system of a tertiary care hospital. We developed algorithms that identified dosing errors and interacting comedication for all administered BDZ. Associated ADE and risk factors were validated in medical records.Among 53,081 patients contributing 495,813 patient-days BDZ were administered to 25,626 patients (48.3% on 115,150 patient-days (23.2%. We identified 3,372 patient-days (2.9% with comedication that inhibits BDZ metabolism, and 1,197 (1.0% with lorazepam administration in severe renal impairment. After validation we classified 134, 56, 12, and 3 cases involving lorazepam, zolpidem, midazolam and triazolam, respectively, as clinically relevant ME. Among those there were 23 cases with associated adverse drug events, including severe CNS-depression, falls with subsequent injuries and severe dyspnea. Causality for BDZ was formally assessed as 'possible' or 'probable' in 20 of those cases. Four cases with ME and associated severe ADE required administration of the BDZ antagonist flumazenil.BDZ use was remarkably high in the studied setting, frequently involved potential ME related to dosing, co-medication and comorbidities, and rarely cases with associated ADE. We propose the implementation of automated ME screening and validation for the prevention of BDZ-related ADE.
Mizuta, Shinobu; Urayama, Shin-ichi; Zoroofi, R.A.; Uyama, Chikao
In this paper, we propose an automated, non-linear registration method between 3-dimensional medical head image and brain map in order to efficiently extract the regions of interest. In our method, input 3-dimensional image is registered into a reference image extracted from a brain map. The problems to be solved are automated, non-linear image matching procedure, and cost function which represents the similarity between two images. Non-linear matching is carried out by dividing the input image into connected partial regions, transforming the partial regions preserving connectivity among the adjacent images, evaluating the image similarity between the transformed regions of the input image and the correspondent regions of the reference image, and iteratively searching the optimal transformation of the partial regions. In order to measure the voxelwise similarity of multi-modal images, a cost function is introduced, which is based on the mutual information. Some experiments using MR images presented the effectiveness of the proposed method. (author)
Benthin, Cody; Pannu, Sonal; Khan, Akram; Gong, Michelle
The nature, variability, and extent of early warning clinical practice alerts derived from automated query of electronic health records (e-alerts) currently used in acute care settings for clinical care or research is unknown. To describe e-alerts in current use in acute care settings at medical centers participating in a nationwide critical care research network. We surveyed investigators at 38 institutions involved in the National Institutes of Health-funded Clinical Trials Network for the Prevention and Early Treatment of Acute Lung Injury (PETAL) for quantitative and qualitative analysis. Thirty sites completed the survey (79% response rate). All sites used electronic health record systems. Epic Systems was used at 56% of sites; the others used alternate commercially available vendors or homegrown systems. Respondents at 57% of sites represented in this survey used e-alerts. All but 1 of these 17 sites used an e-alert for early detection of sepsis-related syndromes, and 35% used an e-alert for pneumonia. E-alerts were triggered by abnormal laboratory values (37%), vital signs (37%), or radiology reports (15%) and were used about equally for clinical decision support and research. Only 59% of sites with e-alerts have evaluated them either for accuracy or for validity. A majority of the research network sites participating in this survey use e-alerts for early notification of potential threats to hospitalized patients; however, there was significant variability in the nature of e-alerts between institutions. Use of one common electronic health record vendor at more than half of the participating sites suggests that it may be possible to standardize e-alerts across multiple sites in research networks, particularly among sites using the same medical record platform.
Luo, Wei; Tran, Truyen; Berk, Michael; Venkatesh, Svetha
Background Although physical illnesses, routinely documented in electronic medical records (EMR), have been found to be a contributing factor to suicides, no automated systems use this information to predict suicide risk. Objective The aim of this study is to quantify the impact of physical illnesses on suicide risk, and develop a predictive model that captures this relationship using EMR data. Methods We used history of physical illnesses (except chapter V: Mental and behavioral disorders) from EMR data over different time-periods to build a lookup table that contains the probability of suicide risk for each chapter of the International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) codes. The lookup table was then used to predict the probability of suicide risk for any new assessment. Based on the different lengths of history of physical illnesses, we developed six different models to predict suicide risk. We tested the performance of developed models to predict 90-day risk using historical data over differing time-periods ranging from 3 to 48 months. A total of 16,858 assessments from 7399 mental health patients with at least one risk assessment was used for the validation of the developed model. The performance was measured using area under the receiver operating characteristic curve (AUC). Results The best predictive results were derived (AUC=0.71) using combined data across all time-periods, which significantly outperformed the clinical baseline derived from routine risk assessment (AUC=0.56). The proposed approach thus shows potential to be incorporated in the broader risk assessment processes used by clinicians. Conclusions This study provides a novel approach to exploit the history of physical illnesses extracted from EMR (ICD-10 codes without chapter V-mental and behavioral disorders) to predict suicide risk, and this model outperforms existing clinical assessments of suicide risk. PMID:27400764
Stewart, John A
Automated external defibrillators (AEDs) emerged in the 1980s as an important innovation in pre-hospital emergency cardiac care (ECC). In the years since, the American Heart Association (AHA) and the International Liaison Committee for Resuscitation (ILCOR) have promoted AED technology for use in hospitals as well, resulting in the widespread purchase and use of AED-capable defibrillators. In-hospital use of AEDs now appears to have decreased survival from cardiac arrests. This article will look at the use of AEDs in hospitals as a case of "medical reversal." Medical reversal occurs when an accepted, widely used treatment is found to be ineffective or even harmful. This article will discuss the issue of AEDs in the hospital using a conceptual framework provided by recent work on medical reversal. It will go on to consider the implications of the reversal for in-hospital resuscitation programs and emergency medicine more generally. Copyright © 2017 The Author. Published by Elsevier Inc. All rights reserved.
Hart, Yuval; Czerniak, Efrat; Karnieli-Miller, Orit; Mayo, Avraham E; Ziv, Amitai; Biegon, Anat; Citron, Atay; Alon, Uri
Non-verbal communication plays a significant role in establishing good rapport between physicians and patients and may influence aspects of patient health outcomes. It is therefore important to analyze non-verbal communication in medical settings. Current approaches to measure non-verbal interactions in medicine employ coding by human raters. Such tools are labor intensive and hence limit the scale of possible studies. Here, we present an automated video analysis tool for non-verbal interactions in a medical setting. We test the tool using videos of subjects that interact with an actor portraying a doctor. The actor interviews the subjects performing one of two scripted scenarios of interviewing the subjects: in one scenario the actor showed minimal engagement with the subject. The second scenario included active listening by the doctor and attentiveness to the subject. We analyze the cross correlation in total kinetic energy of the two people in the dyad, and also characterize the frequency spectrum of their motion. We find large differences in interpersonal motion synchrony and entrainment between the two performance scenarios. The active listening scenario shows more synchrony and more symmetric followership than the other scenario. Moreover, the active listening scenario shows more high-frequency motion termed jitter that has been recently suggested to be a marker of followership. The present approach may be useful for analyzing physician-patient interactions in terms of synchrony and dominance in a range of medical settings.
Ajami, Sima; Ketabi, Saeedeh
Medical Records Department (MRD) is an important unit for evaluating and planning of care services. The goal of this study is evaluating the performance of the Medical Records Departments (MRDs) of the selected hospitals in Isfahan, Iran by using Analytical Hierarchy Process (AHP). This was an analytic of cross-sectional study that was done in spring 2008 in Isfahan, Iran. The statistical population consisted of MRDs of Alzahra, Kashani and Khorshid Hospitals in Isfahan. Data were collected by forms and through brainstorm technique. To analyze and perform AHP, Expert Choice software was used by researchers. Results were showed archiving unit has received the largest importance weight with respect to information management. However, on customer aspect admission unit has received the largest weight. Ordering weights of Medical Records Departments' Alzahra, Kashani and Khorshid Hospitals in Isfahan were with 0.394, 0.342 and 0.264 respectively. It is useful for managers to allocate and prioritize resources according to AHP technique for ranking at the Medical Records Departments.
Daniels, Cheryl Andrea
With the growing elderly population, compounded by the retirement of the babyboomers, the need for long-term care (LTC) facilities is expected to grow. An area of great concern for those that are seeking a home for their family member is the quality of care provided by the nursing home to the residents. Electronic medical records (EMR) are often…
Bledsoe, Sarah; Van Buskirk, Alex; Falconer, R James; Hollon, Andrew; Hoebing, Wendy; Jokic, Sladan
The effectiveness of barcode-assisted medication preparation (BCMP) technology on detecting oral liquid dose preparation errors. From June 1, 2013, through May 31, 2014, a total of 178,344 oral doses were processed at Children's Mercy, a 301-bed pediatric hospital, through an automated workflow management system. Doses containing errors detected by the system's barcode scanning system or classified as rejected by the pharmacist were further reviewed. Errors intercepted by the barcode-scanning system were classified as (1) expired product, (2) incorrect drug, (3) incorrect concentration, and (4) technological error. Pharmacist-rejected doses were categorized into 6 categories based on the root cause of the preparation error: (1) expired product, (2) incorrect concentration, (3) incorrect drug, (4) incorrect volume, (5) preparation error, and (6) other. Of the 178,344 doses examined, 3,812 (2.1%) errors were detected by either the barcode-assisted scanning system (1.8%, n = 3,291) or a pharmacist (0.3%, n = 521). The 3,291 errors prevented by the barcode-assisted system were classified most commonly as technological error and incorrect drug, followed by incorrect concentration and expired product. Errors detected by pharmacists were also analyzed. These 521 errors were most often classified as incorrect volume, preparation error, expired product, other, incorrect drug, and incorrect concentration. BCMP technology detected errors in 1.8% of pediatric oral liquid medication doses prepared in an automated workflow management system, with errors being most commonly attributed to technological problems or incorrect drugs. Pharmacists rejected an additional 0.3% of studied doses. Copyright © 2018 by the American Society of Health-System Pharmacists, Inc. All rights reserved.
Chen, You; Nyemba, Steve; Malin, Bradley
Healthcare organizations are deploying increasingly complex clinical information systems to support patient care. Traditional information security practices (e.g., role-based access control) are embedded in enterprise-level systems, but are insufficient to ensure patient privacy. This is due, in part, to the dynamic nature of healthcare, which makes it difficult to predict which care providers need access to what and when. In this paper, we show that modeling operations at a higher level of granularity (e.g., the departmental level) are stable in the context of a relational network, which may enable more effective auditing strategies. We study three months of access logs from a large academic medical center to illustrate that departmental interaction networks exhibit certain invariants, such as the number, strength, and reciprocity of relationships. We further show that the relations extracted from the network can be leveraged to assess the extent to which a patient’s care satisfies expected organizational behavior. PMID:23304277
Fogerty, Robert L; Sussman, L Scott; Kenyon, Kathleen; Li, Fangyong; Sukumar, Nitin; Kliger, Alan S; Acker, Kurt; Sankey, Christopher
Clinical deterioration detection among adult inpatients is known to be suboptimal, and many electronic health record tools have been developed to help identify these patients. Many of these tools are focused on sepsis spectrum disorders, but the evolution of the definition of sepsis is moving toward increased specificity, which may make automated detection of clinical deterioration from nonsepsis-related conditions less likely. The objectives of this study were to develop and to examine the use of a low-cost, highly sustainable deterioration detection tool based on systemic inflammatory response syndrome (SIRS) criteria. Using existing resources, a SIRS-based electronic health record monitoring and intervention tool was developed with a focus on ease of implementation and high sustainability. This tool was used to monitor 15,739 adult inpatients in real time during their admission. The SIRS-based tool, created with focus on ease of implementation and high sustainability, identified patients with higher risk of clinical deterioration. The project was rapidly deployed for a 4-month period at a 900-bed campus of an academic medical center with minimal additional resources required. Whereas the definition of sepsis moves away from SIRS, SIRS-based criteria may still have clinical benefit as an easy-to-automate detection tool for all-cause clinical deterioration among medical inpatients.
J. Roukema (Jolt); R.K. Los (Renske); S.E. Bleeker (Sacha); A.M. van Ginneken (Astrid); J. van der Lei (Johan); H.A. Moll (Henriëtte)
textabstractBACKGROUND. Implementation of electronic medical record systems promises significant advances in patient care, because such systems enhance readability, availability, and data quality. Structured data entry (SDE) applications can prompt for completeness, provide greater accuracy and
Ghana Library Journal ... Though the medical record services play an important role in health care delivery, indications are that the ... This neglect has far reaching implications for the quality of service required from the Ghana Health Service.
Full Text Available BACKGROUND: Although documentation of children’s pain by health care professionals is frequently undertaken, few studies have explored the nature of the language used to describe pain in the medical records of hospitalized children.
Jung, Won-Mo; Chae, Younbyoung; Jang, Bo-Hyoung
Nowadays a lot of trials for collecting electronic medical records (EMRs) exist. However, structuring data format for EMR is an especially labour-intensive task for practitioners. Here we propose a new mark-up language for medical record charting (called Charting Language), which borrows useful properties from programming languages. Thus, with Charting Language, the text data described in dynamic situation can be easily used to extract information.
Naveen Kumar Pera
Full Text Available Background: Currently, in India, many healthcare organizations and their managements appreciate the advantages of electronic medical records, but they often use them. The current push for universal health coverage in India with National Rural Health Mission (NRHM and National Urban Health Mission (NUHM helping toward healthcare reforms highlights the importance of implementing information technology as a means of cutting costs and improving efficiency in healthcare field. The quality of documentation of patient care rendered at healthcare destinations is very important to showcase the growing stature of healthcare in India. Aims: As maintaining the medical records is very important, storage and retrieval of the information is also important for future patient care. In this regard, implementation of electronic medical records in hospitals is essential. Through this study, we wanted to highlight the perceptions of healthcare personnel, who are in the core team of delivering healthcare, toward implementation of electronic medical records. Methods: A cross-sectional study was carried out among doctors (post-graduates and staff nurses. The sample size for post-graduate students and nurses was 164 and 296, respectively, in this study. The study was carried out during the period from January to June 2013, and a survey was conducted with the help of a validated, pre-tested questionnaire in a tertiary care medical college hospital in India. Results: The results showed that 75% of the study population are comfortable working with electronic medical records. They mentioned that display of diagnosis, medications, and allergies of patients on the records was most important. Their perception was that electronic medical records improve timely decision-making and patient care due to immediate access to the patient′s disease history. Conclusion: The major problems faced by nurses, as per our study, are delay in services due to dispersion of records
Li, Yu-Chuan Jack; Yen, Ju-Chuan; Chiu, Wen-Ta; Jian, Wen-Shan; Syed-Abdul, Shabbir; Hsu, Min-Huei
There are currently 501 hospitals and about 20,000 clinics in Taiwan. The National Health Insurance (NHI) system, which is operated by the NHI Administration, uses a single-payer system and covers 99.9% of the nation's total population of 23,000,000. Taiwan's NHI provides people with a high degree of freedom in choosing their medical care options. However, there is the potential concern that the available medical resources will be overused. The number of doctor consultations per person per year is about 15. Duplication of laboratory tests and prescriptions are not rare either. Building an electronic medical record exchange system is a good method of solving these problems and of improving continuity in health care. In November 2009, Taiwan's Executive Yuan passed the 'Plan for accelerating the implementation of electronic medical record systems in medical institutions' (2010-2012; a 3-year plan). According to this plan, a patient can, at any hospital in Taiwan, by using his/her health insurance IC card and physician's medical professional IC card, upon signing a written agreement, retrieve all important medical records for the past 6 months from other participating hospitals. The focus of this plan is to establish the National Electronic Medical Record Exchange Centre (EEC). A hospital's information system will be connected to the EEC through an electronic medical record (EMR) gateway. The hospital will convert the medical records for the past 6 months in its EMR system into standardized files and save them on the EMR gateway. The most important functions of the EEC are to generate an index of all the XML files on the EMR gateways of all hospitals, and to provide search and retrieval services for hospitals and clinics. The EEC provides four standard inter-institution EMR retrieval services covering medical imaging reports, laboratory test reports, discharge summaries, and outpatient records. In this system, we adopted the Health Level 7 (HL7) Clinical Document
Liu, Lijun; Liu, Li; Fu, Xiaodong; Huang, Qingsong; Zhang, Xianwen; Zhang, Yin
Electronic medical records are increasingly common in medical practice. The secondary use of medical records has become increasingly important. It relies on the ability to retrieve the complete information about desired patient populations. How to effectively and accurately retrieve relevant medical records from large- scale medical big data is becoming a big challenge. Therefore, we propose an efficient and robust framework based on cloud for large-scale Traditional Chinese Medical Records (TCMRs) retrieval. We propose a parallel index building method and build a distributed search cluster, the former is used to improve the performance of index building, and the latter is used to provide high concurrent online TCMRs retrieval. Then, a real-time multi-indexing model is proposed to ensure the latest relevant TCMRs are indexed and retrieved in real-time, and a semantics-based query expansion method and a multi- factor ranking model are proposed to improve retrieval quality. Third, we implement a template-based visualization method for displaying medical reports. The proposed parallel indexing method and distributed search cluster can improve the performance of index building and provide high concurrent online TCMRs retrieval. The multi-indexing model can ensure the latest relevant TCMRs are indexed and retrieved in real-time. The semantics expansion method and the multi-factor ranking model can enhance retrieval quality. The template-based visualization method can enhance the availability and universality, where the medical reports are displayed via friendly web interface. In conclusion, compared with the current medical record retrieval systems, our system provides some advantages that are useful in improving the secondary use of large-scale traditional Chinese medical records in cloud environment. The proposed system is more easily integrated with existing clinical systems and be used in various scenarios. Copyright © 2017. Published by Elsevier Inc.
Khunlertkit, Adjhaporn; Dorissaint, Leonard; Chen, Allen; Paine, Lori; Pronovost, Peter J
Duplicate medical record creation is a common and consequential health care systems error often caused by poor search system usability and inappropriate user training. We conducted two phases of scenario-based usability testing with patient registrars working in areas at risk of generating duplicate medical records. Phase 1 evaluated the existing search system, which led to system redesigns. Phase 2 tested the redesigned system to mitigate potential errors before health system-wide implementation. To evaluate system effectiveness, we compared the monthly potential duplicate medical record rates for preimplementation and postimplementation months. The existing system could not effectively handle a misspelling, which led to failed search and duplicate medical record creation. Using the existing system, 96% of registrars found commonly spelled patient names whereas only 69% successfully found complicated names. Registrars lacked knowledge and usage of a phonetic matching function to assist in misspelling. The new system consistently captured the correct patient regardless of misspelling, but search returned more potential matches, resulting in, on average, 4 seconds longer to select common names. Potential monthly duplicate medical record rate reduced by 38%, from 4% to 2.3% after implementation of the new system, and has sustained at an average of 2.5% for 2 years. Usability testing was an effective method to reveal problems and aid system redesign to deliver a more user friendly system, hence reducing the potential for medical record duplication. Greater standards for usability would ensure that these improvements can be realized before rather than after exposing patients to risks.
Full Text Available Objectives: In the absence of unique ID numbers, cancer and other registries in Germany and elsewhere rely on identity data to link records pertaining to the same patient. These data are often encrypted to ensure privacy. Some record linkage errors unavoidably occur. These errors were quantified for the cancer registry of North Rhine Westphalia which uses encrypted identity data. Methods: A sample of records was drawn from the registry, record linkage information was included. In parallel, plain text data for these records were retrieved to generate a gold standard. Record linkage error frequencies in the cancer registry were determined by comparison of the results of the routine linkage with the gold standard. Error rates were projected to larger registries.Results: In the sample studied, the homonym error rate was 0.015%; the synonym error rate was 0.2%. The F-measure was 0.9921. Projection to larger databases indicated that for a realistic development the homonym error rate will be around 1%, the synonym error rate around 2%.Conclusion: Observed error rates are low. This shows that effective methods to standardize and improve the quality of the input data have been implemented. This is crucial to keep error rates low when the registry’s database grows. The planned inclusion of unique health insurance numbers is likely to further improve record linkage quality. Cancer registration entirely based on electronic notification of records can process large amounts of data with high quality of record linkage.
Risør, Bettina Wulff; Lisby, Marianne; Sørensen, Jan
Automated medication systems have been found to reduce errors in the medication process, but little is known about the cost-effectiveness of such systems. The objective of this study was to perform a model-based indirect cost-effectiveness comparison of three different, real-world automated medication systems compared with current standard practice. The considered automated medication systems were a patient-specific automated medication system (psAMS), a non-patient-specific automated medication system (npsAMS), and a complex automated medication system (cAMS). The economic evaluation used original effect and cost data from prospective, controlled, before-and-after studies of medication systems implemented at a Danish hematological ward and an acute medical unit. Effectiveness was described as the proportion of clinical and procedural error opportunities that were associated with one or more errors. An error was defined as a deviation from the electronic prescription, from standard hospital policy, or from written procedures. The cost assessment was based on 6-month standardization of observed cost data. The model-based comparative cost-effectiveness analyses were conducted with system-specific assumptions of the effect size and costs in scenarios with consumptions of 15,000, 30,000, and 45,000 doses per 6-month period. With 30,000 doses the cost-effectiveness model showed that the cost-effectiveness ratio expressed as the cost per avoided clinical error was €24 for the psAMS, €26 for the npsAMS, and €386 for the cAMS. Comparison of the cost-effectiveness of the three systems in relation to different valuations of an avoided error showed that the psAMS was the most cost-effective system regardless of error type or valuation. The model-based indirect comparison against the conventional practice showed that psAMS and npsAMS were more cost-effective than the cAMS alternative, and that psAMS was more cost-effective than npsAMS.
Fouwels, Annemarie J.; Bredie, Sebastiaan J. H.; Wollersheim, Hub; Schippers, Gerard M.
ABSTRACT: BACKGROUND: To evaluate the vigilance of medical specialists as to the lifestyle of their cardiovascular outpatients by comparing lifestyle screening as registered in medical records versus a lifestyle questionnaire (LSQ), a study was carried out at the cardiovascular outpatient clinic of
Fouwels, A.J.; Bredie, S.J.H.; Wollersheim, H.C.H.; Schippers, G.M.
BACKGROUND: To evaluate the vigilance of medical specialists as to the lifestyle of their cardiovascular outpatients by comparing lifestyle screening as registered in medical records versus a lifestyle questionnaire (LSQ), a study was carried out at the cardiovascular outpatient clinic of the
... surveillance requirements of an OSHA standard, you must record the case on the OSHA 300 Log. (b) Implementation—(1) How do I classify medical removal cases on the OSHA 300 Log? You must enter each medical removal case on the OSHA 300 Log as either a case involving days away from work or a case involving restricted...
Verheij, R.; Jabaaij, L.; Njoo, K.; Hoogen, H. van den; Bakker, D. de
Background: The use of electronic medical records (EMR) in general practice has spread rapidly in the last decade (more than 90% today). Traditionally, these records are primarily used for direct patient care and for administrative purposes by the practice involved. In recent years, further
Smalley, Hannah K; Keskinocak, Pinar
At academic teaching hospitals around the country, the majority of clinical care is provided by resident physicians. During their training, medical residents often rotate through various hospitals and/or medical services to maximize their education. Depending on the size of the training program, manually constructing such a rotation schedule can be cumbersome and time consuming. Further, rules governing allowable duty hours for residents have grown more restrictive in recent years (ACGME 2011), making day-to-day shift scheduling of residents more difficult (Connors et al., J Thorac Cardiovasc Surg 137:710-713, 2009; McCoy et al., May Clin Proc 86(3):192, 2011; Willis et al., J Surg Edu 66(4):216-221, 2009). These rules limit lengths of duty periods, allowable duty hours in a week, and rest periods, to name a few. In this paper, we present two integer programming models (IPs) with the goals of (1) creating feasible assignments of residents to rotations over a one-year period, and (2) constructing night and weekend call-shift schedules for the individual rotations. These models capture various duty-hour rules and constraints, provide the ability to test multiple what-if scenarios, and largely automate the process of schedule generation, solving these scheduling problems more effectively and efficiently compared to manual methods. Applying our models on data from a surgical residency program, we highlight the infeasibilities created by increased duty-hour restrictions placed on residents in conjunction with current scheduling paradigms.
Jensen, Camilla Bjørn; Gamborg, Michael; Heitmann, Berit
performed using t tests, Pearson's correlation coefficients, Bland-Altman plots and κ coefficients. Odds of BW discrepancies >100 g were examined by logistic regressions. RESULTS: The study population included 47 534 children. From 1973 to 1979 when BW was grouped in 500 g intervals in the MBR, mean BW...... differed significantly between the registers. During 1979-1991 when BW was recorded in 10 and 1 g intervals, mean BW did not significantly differ between the two registers. BW from both registers was highly correlated (0.93-0.97). Odds of a BW discrepancy significantly increased with parity, the child...
Bokser, Seth J; Cucina, Russell J; Love, Jeffrey S; Blum, Michael S
During the phased transition from a paper-based record to an electronic health record (EHR), we found that clinicians had difficulty remembering where to find important clinical documents. We describe our experience with the design and use of a web-based map of the hybrid medical record. With between 50 to 75 unique visits per day, the UCare Navigator has served as an important aid to clinicians practicing in the transitional environment of a large EHR implementation.
Sheu, Leslie; Fung, Kelly; Mourad, Michelle; Ranji, Sumant; Wu, Ethel
Poor communication between hospitalists and outpatient physicians can contribute to adverse events after discharge. Electronic medical records (EMRs) shared by inpatient and outpatient clinicians offer primary care providers (PCPs) better access to information surrounding a patient's hospitalization. However, the PCP experience and subsequent expectations for discharge communication within a shared EMR are unknown. We surveyed PCPs 1 year after a shared EMR was implemented at our institution to assess PCP satisfaction with current discharge communication practices and identify areas for improvement. Seventy-five of 124 (60%) clinicians completed the survey. Although most PCPs reported receiving automated discharge notifications (71%), only 39% felt that notifications plus discharge summaries were adequate for safe transitions of care. PCPs expressed that complex hospitalizations necessitated additional communication via e-mail or telephone; only 31% reported receiving such communication. The content most important in additional communication included medication changes, follow-up actions, and active medical issues. Despite optimized access to information provided by a shared EMR, only 52% of PCPs were satisfied with current discharge communication. PCPs express a continued need for high-touch communication for safe transitions of care. Further standardization of discharge communication practices is necessary. © 2015 Society of Hospital Medicine.
Positive predictive value of a case definition for diabetes mellitus using automated administrative health data in children and youth exposed to antipsychotic drugs or control medications: a Tennessee Medicaid study
Bobo William V
Full Text Available Abstract Background We developed and validated an automated database case definition for diabetes in children and youth to facilitate pharmacoepidemiologic investigations of medications and the risk of diabetes. Methods The present study was part of an in-progress retrospective cohort study of antipsychotics and diabetes in Tennessee Medicaid enrollees aged 6–24 years. Diabetes was identified from diabetes-related medical care encounters: hospitalizations, outpatient visits, and filled prescriptions. The definition required either a primary inpatient diagnosis or at least two other encounters of different types, most commonly an outpatient diagnosis with a prescription. Type 1 diabetes was defined by insulin prescriptions with at most one oral hypoglycemic prescription; other cases were considered type 2 diabetes. The definition was validated for cohort members in the 15 county region geographically proximate to the investigators. Medical records were reviewed and adjudicated for cases that met the automated database definition as well as for a sample of persons with other diabetes-related medical care encounters. Results The study included 64 cases that met the automated database definition. Records were adjudicated for 46 (71.9%, of which 41 (89.1% met clinical criteria for newly diagnosed diabetes. The positive predictive value for type 1 diabetes was 80.0%. For type 2 and unspecified diabetes combined, the positive predictive value was 83.9%. The estimated sensitivity of the definition, based on adjudication for a sample of 30 cases not meeting the automated database definition, was 64.8%. Conclusion These results suggest that the automated database case definition for diabetes may be useful for pharmacoepidemiologic studies of medications and diabetes.
Positive predictive value of a case definition for diabetes mellitus using automated administrative health data in children and youth exposed to antipsychotic drugs or control medications: a Tennessee Medicaid study.
Bobo, William V; Cooper, William O; Stein, C Michael; Olfson, Mark; Mounsey, Jackie; Daugherty, James; Ray, Wayne A
We developed and validated an automated database case definition for diabetes in children and youth to facilitate pharmacoepidemiologic investigations of medications and the risk of diabetes. The present study was part of an in-progress retrospective cohort study of antipsychotics and diabetes in Tennessee Medicaid enrollees aged 6-24 years. Diabetes was identified from diabetes-related medical care encounters: hospitalizations, outpatient visits, and filled prescriptions. The definition required either a primary inpatient diagnosis or at least two other encounters of different types, most commonly an outpatient diagnosis with a prescription. Type 1 diabetes was defined by insulin prescriptions with at most one oral hypoglycemic prescription; other cases were considered type 2 diabetes. The definition was validated for cohort members in the 15 county region geographically proximate to the investigators. Medical records were reviewed and adjudicated for cases that met the automated database definition as well as for a sample of persons with other diabetes-related medical care encounters. The study included 64 cases that met the automated database definition. Records were adjudicated for 46 (71.9%), of which 41 (89.1%) met clinical criteria for newly diagnosed diabetes. The positive predictive value for type 1 diabetes was 80.0%. For type 2 and unspecified diabetes combined, the positive predictive value was 83.9%. The estimated sensitivity of the definition, based on adjudication for a sample of 30 cases not meeting the automated database definition, was 64.8%. These results suggest that the automated database case definition for diabetes may be useful for pharmacoepidemiologic studies of medications and diabetes.
Positive predictive value of a case definition for diabetes mellitus using automated administrative health data in children and youth exposed to antipsychotic drugs or control medications: a Tennessee Medicaid study
Background We developed and validated an automated database case definition for diabetes in children and youth to facilitate pharmacoepidemiologic investigations of medications and the risk of diabetes. Methods The present study was part of an in-progress retrospective cohort study of antipsychotics and diabetes in Tennessee Medicaid enrollees aged 6–24 years. Diabetes was identified from diabetes-related medical care encounters: hospitalizations, outpatient visits, and filled prescriptions. The definition required either a primary inpatient diagnosis or at least two other encounters of different types, most commonly an outpatient diagnosis with a prescription. Type 1 diabetes was defined by insulin prescriptions with at most one oral hypoglycemic prescription; other cases were considered type 2 diabetes. The definition was validated for cohort members in the 15 county region geographically proximate to the investigators. Medical records were reviewed and adjudicated for cases that met the automated database definition as well as for a sample of persons with other diabetes-related medical care encounters. Results The study included 64 cases that met the automated database definition. Records were adjudicated for 46 (71.9%), of which 41 (89.1%) met clinical criteria for newly diagnosed diabetes. The positive predictive value for type 1 diabetes was 80.0%. For type 2 and unspecified diabetes combined, the positive predictive value was 83.9%. The estimated sensitivity of the definition, based on adjudication for a sample of 30 cases not meeting the automated database definition, was 64.8%. Conclusion These results suggest that the automated database case definition for diabetes may be useful for pharmacoepidemiologic studies of medications and diabetes. PMID:22920280
Damschroder, Laura J; Pritts, Joy L; Neblo, Michael A; Kalarickal, Rosemarie J; Creswell, John W; Hayward, Rodney A
The federal Privacy Rule, implemented in the United States in 2003, as part of the Health Insurance Portability and Accountability Act of 1996 (HIPAA), created new restrictions on the release of medical information for research. Many believe that its restrictions have fallen disproportionately on researchers prompting some to call for changes to the Rule. Here we ask what patients think about researchers' access to medical records, and what influences these opinions. A sample of 217 patients from 4 Veteran Affairs (VA) facilities deliberated in small groups at each location with the opportunity to question experts and inform themselves about privacy issues related to medical records research. After extensive deliberation, these patients were united in their inclination to share their medical records for research. Yet they were also united in their recommendations to institute procedures that would give them more control over whether and how their medical records are used for research. We integrated qualitative and quantitative results to derive a better understanding of this apparent paradox. Our findings can best be presented as answers to questions related to five dimensions of trust: Patients' trust in VA researchers was the most powerful determinant of the kind of control they want over their medical records. More specifically, those who had lower trust in VA researchers were more likely to recommend a more stringent process for obtaining individual consent. Insights on the critical role of trust suggest actions that researchers and others can take to more fully engage patients in research.
Cender Udai Quispe-Juli
Full Text Available Objective: To determine the characteristics of registration of medical records of hospitalization in the Hospital III Yanahuara in Arequipa, Peru. Material and methods: The study was observational, cross-sectional and retrospective. 225 medical records of hospitalization were evaluated in November 2015. A tab consisting of 15 items was used; each item was assessed using a scale: "very bad", "bad", "acceptable", "good" and "very good". Adescriptive analysis was done by calculating frequency. Results: Items with a higher proportion of acceptable registration data were: clear therapeutic indication (84%, clinical evolution (74.7%, diagnosis (70.7%, complete and orderly therapeutic indication (54.2%, medical history taking (50.2% and physical examination (43.1%. The very well recorded items were: indication of tests and procedures (97.3%, medical identification (91.1% and allergies (67.1%. Very bad recorded items were: reason for admission (91.1%, life habits (72.9% and prior treatment (38.2%. Conclusions: Most medical records of hospitalization are characterized by an acceptable record of most evaluated items; however they have notable deficiencies in some items.
Green, Rebecca M.; Bebbington, Mark S.; Cronin, Shane J.; Jones, Geoff
Detailed tephrochronologies are built to underpin probabilistic volcanic hazard forecasting, and to understand the dynamics and history of diverse geomorphic, climatic, soil-forming and environmental processes. Complicating factors include highly variable tephra distribution over time; difficulty in correlating tephras from site to site based on physical and chemical properties; and uncertain age determinations. Multiple sites permit construction of more accurate composite tephra records, but correctly merging individual site records by recognizing common events and site-specific gaps is complex. We present an automated procedure for matching tephra sequences between multiple deposition sites using stochastic local optimization techniques. If individual tephra age determinations are not significantly different between sites, they are matched and a more precise age is assigned. Known stratigraphy and mineralogical or geochemical compositions are used to constrain tephra matches. We apply this method to match tephra records from five long sediment cores (≤ 75 cal ka BP) in Auckland, New Zealand. Sediments at these sites preserve basaltic tephras from local eruptions of the Auckland Volcanic Field as well as distal rhyolitic and andesitic tephras from Okataina, Taupo, Egmont, Tongariro, and Tuhua (Mayor Island) volcanic centers. The new correlated record compiled is statistically more likely than previously published arrangements from this area.
Risør, Bettina Wulff; Lisby, Marianne; Sørensen, Jan
To evaluate the cost-effectiveness of an automated medication system (AMS) implemented in a Danish hospital setting. An economic evaluation was performed alongside a controlled before-and-after effectiveness study with one control ward and one intervention ward. The primary outcome measure was the number of errors in the medication administration process observed prospectively before and after implementation. To determine the difference in proportion of errors after implementation of the AMS, logistic regression was applied with the presence of error(s) as the dependent variable. Time, group, and interaction between time and group were the independent variables. The cost analysis used the hospital perspective with a short-term incremental costing approach. The total 6-month costs with and without the AMS were calculated as well as the incremental costs. The number of avoided administration errors was related to the incremental costs to obtain the cost-effectiveness ratio expressed as the cost per avoided administration error. The AMS resulted in a statistically significant reduction in the proportion of errors in the intervention ward compared with the control ward. The cost analysis showed that the AMS increased the ward's 6-month cost by €16,843. The cost-effectiveness ratio was estimated at €2.01 per avoided administration error, €2.91 per avoided procedural error, and €19.38 per avoided clinical error. The AMS was effective in reducing errors in the medication administration process at a higher overall cost. The cost-effectiveness analysis showed that the AMS was associated with affordable cost-effectiveness rates. Copyright © 2017 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
Chen, Wei; Shih, Chien-Chou
Due to increasing occurrence of accidents and illness during business trips, travel, or overseas studies, the requirement for portable EMR (Electronic Medical Records) has increased. This study proposes integrating streaming media technology into the EMR system to facilitate referrals, contracted laboratories, and disease notification among hospitals. The current study encoded static and dynamic medical images of patients into a streaming video format and stored them in a Flash Media Server (FMS). Based on the Taiwan Electronic Medical Record Template (TMT) standard, EMR records can be converted into XML documents and used to integrate description fields with embedded streaming videos. This investigation implemented a web-based portable EMR interchanging system using streaming media techniques to expedite exchanging medical image information among hospitals. The proposed architecture of the portable EMR retrieval system not only provides local hospital users the ability to acquire EMR text files from a previous hospital, but also helps access static and dynamic medical images as reference for clinical diagnosis and treatment. The proposed method protects property rights of medical images through information security mechanisms of the Medical Record Interchange Service Center and Health Certificate Authorization to facilitate proper, efficient, and continuous treatment of patients.
Cao, Hui; Stetson, Peter; Hripcsak, George
Many types of medical errors occur in and outside of hospitals, some of which have very serious consequences and increase cost. Identifying errors is a critical step for managing and preventing them. In this study, we assessed the explicit reporting of medical errors in the electronic record. We used five search terms "mistake," "error," "incorrect," "inadvertent," and "iatrogenic" to survey several sets of narrative reports including discharge summaries, sign-out notes, and outpatient notes from 1991 to 2000. We manually reviewed all the positive cases and identified them based on the reporting of physicians. We identified 222 explicitly reported medical errors. The positive predictive value varied with different keywords. In general, the positive predictive value for each keyword was low, ranging from 3.4 to 24.4%. Therapeutic-related errors were the most common reported errors and these reported therapeutic-related errors were mainly medication errors. Keyword searches combined with manual review indicated some medical errors that were reported in medical records. It had a low sensitivity and a moderate positive predictive value, which varied by search term. Physicians were most likely to record errors in the Hospital Course and History of Present Illness sections of discharge summaries. The reported errors in medical records covered a broad range and were related to several types of care providers as well as non-health care professionals.
Baumgartner, D. J.; Pötzi, W.; Freislich, H.; Strutzmann, H.; Veronig, A. M.; Foelsche, U.; Rieder, H. E.
In recent decades, automated sensors for sunshine duration (SD) measurements have been introduced in meteorological networks, thereby replacing traditional instruments, most prominently the Campbell-Stokes (CS) sunshine recorder. Parallel records of automated and traditional SD recording systems are rare. Nevertheless, such records are important to understand the differences/similarities in SD totals obtained with different instruments and how changes in monitoring device type affect the homogeneity of SD records. This study investigates the differences/similarities in parallel SD records obtained with a CS and two automated SD sensors between 2007 and 2016 at the Kanzelhöhe Observatory, Austria. Comparing individual records of daily SD totals, we find differences of both positive and negative sign, with smallest differences between the automated sensors. The larger differences between CS-derived SD totals and those from automated sensors can be attributed (largely) to the higher sensitivity threshold of the CS instrument. Correspondingly, the closest agreement among all sensors is found during summer, the time of year when sensitivity thresholds are least critical. Furthermore, we investigate the performance of various models to create the so-called sensor-type-equivalent (STE) SD records. Our analysis shows that regression models including all available data on daily (or monthly) time scale perform better than simple three- (or four-) point regression models. Despite general good performance, none of the considered regression models (of linear or quadratic form) emerges as the "optimal" model. Although STEs prove useful for relating SD records of individual sensors on daily/monthly time scales, this does not ensure that STE (or joint) records can be used for trend analysis.
Gill, James M; Klinkman, Michael S; Chen, Ying Xia
Because comorbid depression can complicate medical conditions (eg, diabetes), physicians may treat depression more aggressively in patients who have these conditions. This study examined whether primary care physicians prescribe antidepressant medications more often and in higher doses for persons with medical comorbidities. This secondary data analysis of electronic health record data was conducted in the Centricity Health Care User Research Network (CHURN), a national network of ambulatory practices that use a common outpatient electronic health record. Participants included 209 family medicine and general internal medicine providers in 40 primary care CHURN offices in 17 US states. Patients included adults with a new episode of depression that had been diagnosed during the period October 2006 through July 2007 (n = 1513). Prescription of antidepressant medication and doses of antidepressant medication were compared for patients with and without 6 comorbid conditions: diabetes, coronary heart disease, congestive heart failure, cerebrovascular disease, chronic obstructive pulmonary disease, and cancer. 20.7% of patients had at least one medical comorbidity whereas 5.8% had multiple comorbidities. Overall, 77% of depressed patients were prescribed antidepressant medication. After controlling for age and sex, patients with multiple comorbidities were less likely to be prescribed medication (adjusted odds ratio, 0.58; 95% CI, 0.35-0.96), but there was no significant difference by individual comorbidities. Patients with cerebrovascular disease were less likely to be prescribed a full dose of medication (adjusted odds ratio, 0.26; 95% CI, 0.08-0.88), but there were no differences for other comorbidities or for multiple comorbidities, and there was no difference for any comorbidities in the prescription of minimally effective doses. Patients with new episodes of depression who present to a primary care practice are not treated more aggressively if they have medical
Heard, S R; Roberts, C; Furrows, S J; Kelsey, M; Southgate, L
The performance procedures of the General Medical Council are aimed at identifying seriously deficient performance in a doctor. The performance procedures require the medical record to be of a standard that enables the next doctor seeing the patient to give adequate care based on the available information. Setting standards for microbiological record keeping has proved difficult. Over one fifth of practising medical microbiologists (including virologists) in the UK (139 of 676) responded to a survey undertaken by the working group developing the performance procedures for microbiology, to identify current practice and to develop recommendations for agreement within the profession about the standards of the microbiological record. The cumulative frequency for the surveyed recording methods used indicated that at various times 65% (90 of 139) of respondents used a daybook, 62% (86 of 139) used the back of the clinical request card, 57% (79 of 139) used a computer record, and 22% (30 of 139) used an index card system to record microbiological advice, suggesting wide variability in relation to how medical microbiologists maintain clinical records. PMID:12499432
Data element definitions and record structure are given for various types of bibliographic entities, corresponding to the following documents: books, periodicals, conference proceedings, reports, theses, conference papers, preprints, patents [fr
Raut, Anant; Yarbrough, Chase; Singh, Vivek; Gauchan, Bikash; Citrin, David; Verma, Varun; Hawley, Jessica; Schwarz, Dan; Harsha Bangura, Alex; Shrestha, Biplav; Schwarz, Ryan; Adhikari, Mukesh; Maru, Duncan
Globally, electronic medical records are central to the infrastructure of modern healthcare systems. Yet the vast majority of electronic medical records have been designed for resource-rich environments and are not feasible in settings of poverty. Here we describe the design and implementation of an electronic medical record at a public sector district hospital in rural Nepal, and its subsequent expansion to an additional public sector facility.DevelopmentThe electronic medical record was designed to solve for the following elements of public sector healthcare delivery: 1) integration of the systems across inpatient, surgical, outpatient, emergency, laboratory, radiology, and pharmacy sites of care; 2) effective data extraction for impact evaluation and government regulation; 3) optimization for longitudinal care provision and patient tracking; and 4) effectiveness for quality improvement initiatives. For these purposes, we adapted Bahmni, a product built with open-source components for patient tracking, clinical protocols, pharmacy, laboratory, imaging, financial management, and supply logistics. In close partnership with government officials, we deployed the system in February of 2015, added on additional functionality, and iteratively improved the system over the following year. This experience enabled us then to deploy the system at an additional district-level hospital in a different part of the country in under four weeks. We discuss the implementation challenges and the strategies we pursued to build an electronic medical record for the public sector in rural Nepal.DiscussionOver the course of 18 months, we were able to develop, deploy and iterate upon the electronic medical record, and then deploy the refined product at an additional facility within only four weeks. Our experience suggests the feasibility of an integrated electronic medical record for public sector care delivery even in settings of rural poverty.
Zhang, Hong; Ni, Wandong; Li, Jing; Jiang, Youlin; Liu, Kunjing; Ma, Zhaohui
Standardization of electronic medical record, so as to enable resource-sharing and information exchange among medical institutions has become inevitable in view of the ever increasing medical information. The current research is an effort towards the standardization of basic dataset of electronic medical records in traditional Chinese medicine. In this work, an outpatient clinical information model and an inpatient clinical information model are created to adequately depict the diagnosis processes and treatment procedures of traditional Chinese medicine. To be backward compatible with the existing dataset standard created for western medicine, the new standard shall be a superset of the existing standard. Thus, the two models are checked against the existing standard in conjunction with 170,000 medical record cases. If a case cannot be covered by the existing standard due to the particularity of Chinese medicine, then either an existing data element is expanded with some Chinese medicine contents or a new data element is created. Some dataset subsets are also created to group and record Chinese medicine special diagnoses and treatments such as acupuncture. The outcome of this research is a proposal of standardized traditional Chinese medicine medical records datasets. The proposal has been verified successfully in three medical institutions with hundreds of thousands of medical records. A new dataset standard for traditional Chinese medicine is proposed in this paper. The proposed standard, covering traditional Chinese medicine as well as western medicine, is expected to be soon approved by the authority. A widespread adoption of this proposal will enable traditional Chinese medicine hospitals and institutions to easily exchange information and share resources. Copyright © 2017. Published by Elsevier B.V.
Cheung, K; El Marroun, H; Elfrink, M E; Jaddoe, V W V; Visser, L E; Stricker, B H Ch
Several studies have been conducted to assess determinants affecting the performance or accuracy of self-reports. These studies are often not focused on pregnant women, or medical records were used as a data source where it is unclear if medications have been dispensed. Therefore, our objective was to evaluate the concordance between self-reported medication data and pharmacy records among pregnant women and its determinants. We conducted a population-based cohort study within the Generation R study, in 2637 pregnant women. The concordance between self-reported medication data and pharmacy records was calculated for different therapeutic classes using Yule's Y. We evaluated a number of variables as determinant of discordance between both sources through univariate and multivariate logistic regression analysis. The concordance between self-reports and pharmacy records was moderate to good for medications used for chronic conditions, such as selective serotonin reuptake inhibitors or anti-asthmatic medications (0.88 and 0.68, respectively). Medications that are used occasionally, such as antibiotics, had a lower concordance (0.51). Women with a Turkish or other non-Western background were more likely to demonstrate discordance between pharmacy records and self-reported data compared with women with a Dutch background (Turkish: odds ratio, 1.63; 95% confidence interval, 1.16-2.29; other non-Western: odds ratio, 1.33; 95% confidence interval, 1.03-1.71). Further research is needed to assess how the cultural or ethnic differences may affect the concordance or discordance between both medication sources. The results of this study showed that the use of multiple sources is needed to have a good estimation of the medication use during pregnancy. Copyright © 2017 John Wiley & Sons, Ltd.
Seo, Hwa Jeong; Kim, Hye Hyeon; Kim, Ju Han
Electronic medical records (EMRs) are increasingly being used by health care services. Currently, if an EMR shutdown occurs, even for a moment, patient safety and care can be seriously impacted. Our goal was to determine the methodology needed to develop an effective and reliable EMR backup system. Our "independent backup system by medical organizations" paradigm implies that individual medical organizations develop their own EMR backup systems within their organizations. A "personal independent backup system" is defined as an individual privately managing his/her own medical records, whereas in a "central backup system by the government" the government controls all the data. A "central backup system by private enterprises" implies that individual companies retain control over their own data. A "cooperative backup system among medical organizations" refers to a networked system established through mutual agreement. The "backup system based on mutual trust between an individual and an organization" means that the medical information backup system at the organizational level is established through mutual trust. Through the use of SWOT analysis it can be shown that cooperative backup among medical organizations is possible to be established through a network composed of various medical agencies and that it can be managed systematically. An owner of medical information only grants data access to the specific person who gave the authorization for backup based on the mutual trust between an individual and an organization. By employing SWOT analysis, we concluded that a linkage among medical organizations or between an individual and an organization can provide an efficient backup system.
Wang, Jong-Yi; Ho, Hsiao-Yun; Chen, Jen-De; Chai, Sinkuo; Tai, Chih-Jaan; Chen, Yung-Fu
In this era of ubiquitous information, patient record exchange among hospitals still has technological and individual barriers including resistance to information sharing. Most research on user attitudes has been limited to one type of user or aspect. Because few analyses of attitudes toward electronic patient records (EPRs) have been conducted, understanding the attitudes among different users in multiple aspects is crucial to user acceptance. This proof-of-concept study investigated the attitudes of users toward the inter-hospital EPR exchange system implemented nationwide and focused on discrepant behavioral intentions among three user groups. The system was designed by combining a Health Level 7-based protocol, object-relational mapping, and other medical informatics techniques to ensure interoperability in realizing patient-centered practices. After implementation, three user-specific questionnaires for physicians, medical record staff, and patients were administered, with a 70 % response rate. The instrument showed favorable convergent construct validity and internal consistency reliability. Two dependent variables were applied: the attitudes toward privacy and support. Independent variables comprised personal characteristics, work characteristics, human aspects, and technology aspects. Major statistical methods included exploratory factor analysis and general linear model. The results from 379 respondents indicated that the patients highly agreed with privacy protection by their consent and support for EPRs, whereas the physicians remained conservative toward both. Medical record staff was ranked in the middle among the three groups. The three user groups demonstrated discrepant intentions toward privacy protection and support. Experience of computer use, level of concerns, usefulness of functions, and specifically, reason to use electronic medical records and number of outpatient visits were significantly associated with the perceptions. Overall, four
To get funding approved for medical device integration, ClOs suggest focusing on specific patient safety or staff efficiency pain points. Organizations that make clinical engineering part of their IT team report fewer chain-of-command issues. It also helps IT people understand the clinical goals because the engineering people have been working closely with clinicians for years. A new organization has formed to work on collaboration between clinical engineers and IT professionals. For more information, go to www.ceitcollaboration.org. ECRI Institute has written a guide to handling the convergence of medical technology and hospital networks. Its "Medical Technology for the IT Professional: An Essential Guide for Working in Today's Healthcare Setting" also details how IT professionals can assist hospital technology planning and acquisition, and provide ongoing support for IT-based medical technologies. For more information, visit www.ecri.org/ITresource.
Lee, Jisan; Kim, James G Boram; Jin, Meiling; Ahn, Kiwhan; Kim, Byungjun; Kim, Sukwha; Kim, Jeongeun
Healthcare consumers must be able to make decisions based on accurate health information. To assist with this, we designed and developed an integrated system connected with electronic medical records in hospitals to ensure delivery of accurate health information. The system-called the Consumer-centered Open Personal Health Record platform-is composed of two services: a portal for users with any disease and a mobile application for users with cleft lip/palate. To assess the benefits of these services, we used a quasi-experimental, pretest-posttest design, assigning participants to the portal (n = 50) and application (n = 52) groups. Both groups showed significantly increased knowledge, both objective (actual knowledge of health information) and subjective (perceived knowledge of health information), after the intervention. Furthermore, while both groups showed higher information needs satisfaction after the intervention, the application group was significantly more satisfied. Knowledge changes were more affected by participant characteristics in the application group. Our results may be due to the application's provision of specific disease information and a personalized treatment plan based on the participant and other users' data. We recommend that services connected with electronic medical records target specific diseases to provide personalized health management to patients in a hospital setting.
Edinger, Tracy; Cohen, Aaron M; Bedrick, Steven; Ambert, Kyle; Hersh, William
Secondary use of electronic health record (EHR) data relies on the ability to retrieve accurate and complete information about desired patient populations. The Text Retrieval Conference (TREC) 2011 Medical Records Track was a challenge evaluation allowing comparison of systems and algorithms to retrieve patients eligible for clinical studies from a corpus of de-identified medical records, grouped by patient visit. Participants retrieved cohorts of patients relevant to 35 different clinical topics, and visits were judged for relevance to each topic. This study identified the most common barriers to identifying specific clinic populations in the test collection. Using the runs from track participants and judged visits, we analyzed the five non-relevant visits most often retrieved and the five relevant visits most often overlooked. Categories were developed iteratively to group the reasons for incorrect retrieval for each of the 35 topics. Reasons fell into nine categories for non-relevant visits and five categories for relevant visits. Non-relevant visits were most often retrieved because they contained a non-relevant reference to the topic terms. Relevant visits were most often infrequently retrieved because they used a synonym for a topic term. This failure analysis provides insight into areas for future improvement in EHR-based retrieval with techniques such as more widespread and complete use of standardized terminology in retrieval and data entry systems.
Reiner, Bruce I
In order to better elucidate and understand the causative factors and clinical implications of uncertainty in medical reporting, one must first create a referenceable database which records a number of standardized metrics related to uncertainty language, clinical context, technology, and provider and patient data. The resulting analytics can in turn be used to create context and user-specific reporting guidelines, real-time decision support, educational resources, and quality assurance measures. If this technology can be directly integrated into reporting technology and workflow, the goal is to proactively improve clinical outcomes at the point of care.
Matsuo, Toshihiko; Gochi, Akira; Hirakawa, Tsuyoshi; Ito, Tadashi; Kohno, Yoshihisa
General electronic medical records systems remain insufficient for ophthalmology outpatient clinics from the viewpoint of dealing with many ophthalmic examinations and images in a large number of patients. Filing systems for documents and images by Yahgee Document View (Yahgee, Inc.) were introduced on the platform of general electronic medical records system (Fujitsu, Inc.). Outpatients flow management system and electronic medical records system for ophthalmology were constructed. All images from ophthalmic appliances were transported to Yahgee Image by the MaxFile gateway system (P4 Medic, Inc.). The flow of outpatients going through examinations such as visual acuity testing were monitored by the list "Ophthalmology Outpatients List" by Yahgee Workflow in addition to the list "Patients Reception List" by Fujitsu. Patients' identification number was scanned with bar code readers attached to ophthalmic appliances. Dual monitors were placed in doctors' rooms to show Fujitsu Medical Records on the left-hand monitor and ophthalmic charts of Yahgee Document on the right-hand monitor. The data of manually-inputted visual acuity, automatically-exported autorefractometry and non-contact tonometry on a new template, MaxFile ED, were again automatically transported to designated boxes on ophthalmic charts of Yahgee Document. Images such as fundus photographs, fluorescein angiograms, optical coherence tomographic and ultrasound scans were viewed by Yahgee Image, and were copy-and-pasted to assigned boxes on the ophthalmic charts. Ordering such as appointments, drug prescription, fees and diagnoses input, central laboratory tests, surgical theater and ward room reservations were placed by functions of the Fujitsu electronic medical records system. The combination of the Fujitsu electronic medical records and Yahgee Document View systems enabled the University Hospital to examine the same number of outpatients as prior to the implementation of the computerized filing system.
Lea, Marianne; Barstad, Ingeborg; Mathiesen, Liv; Mowe, Morten; Molden, Espen
Medication discrepancies at hospital admission is an extensive problem and knowledge is limited regarding improvement strategies. To investigate the effect of teaching and checklist implementation on accuracy of medication history recording during hospitalization. Patients admitted to an internal medicine ward were prospectively included in two consecutive periods. Between the periods, non-mandatory teaching lessons were provided and a checklist assisting medication history recording implemented. Discrepancies between the recorded medications at admission and the patient's actual drug use, as revealed by pharmacist-conducted medication reconciliation, were compared between the periods. The primary endpoint was difference between the periods in proportion of patients with minimum one discrepancy. Difference in median number of discrepancies was included as a secondary endpoint. 56 and 119 patients were included in period 1 (P1) and period 2 (P2), respectively. There was no significant difference in proportion of patients with minimum one discrepancy in P2 (68.9 %) versus P1 (76.8 %, p = 0.36), but a tendency of lower median number of discrepancies was observed in P2 than P1, i.e. 1 and 2, respectively (p = 0.087). More powerful strategies than non-mandatory teaching activities and checklist implementation are required to achieve sufficient improvements in medication history recording during hospitalization.
James, Matthew T; Hobson, Charles E; Darmon, Michael; Mohan, Sumit; Hudson, Darren; Goldstein, Stuart L; Ronco, Claudio; Kellum, John A; Bagshaw, Sean M
Electronic medical records and clinical information systems are increasingly used in hospitals and can be leveraged to improve recognition and care for acute kidney injury. This Acute Dialysis Quality Initiative (ADQI) workgroup was convened to develop consensus around principles for the design of automated AKI detection systems to produce real-time AKI alerts using electronic systems. AKI alerts were recognized by the workgroup as an opportunity to prompt earlier clinical evaluation, further testing and ultimately intervention, rather than as a diagnostic label. Workgroup members agreed with designing AKI alert systems to align with the existing KDIGO classification system, but recommended future work to further refine the appropriateness of AKI alerts and to link these alerts to actionable recommendations for AKI care. The consensus statements developed in this review can be used as a roadmap for development of future electronic applications for automated detection and reporting of AKI.
The first part of this project conducted a detailed evaluation of the ability of a new friction measurement system to : provide an accurate measure of road conditions. A system that records friction coefficient as a function of road : location was de...
Zonderland, J.J.; Vermeer, H.M.; Vereijken, P.F.G.; Spoolder, H.A.M.
Not all suspended materials for finishing pigs are equally suited to meet the natural behavior of the animal, but the required physical properties of the toys have yet to be identified. The present study aimed to develop a labor saving electronic recording device for animal-material interactions.
The widespread adoption of Electronic Health Record (EHR) has resulted in rapid text proliferation within clinical care. Clinicians' use of copying and pasting functions in EHR systems further compounds this by creating a large amount of redundant clinical information in clinical documents. A mixture of redundant information (especially outdated…
Wieling, M. B.; Hofman, W. H. A.
To what extent a blended learning configuration of face-to-face lectures, online on-demand video recordings of the face-to-face lectures and the offering of online quizzes with appropriate feedback has an additional positive impact on the performance of these students compared to the traditional
Knoll, Alois; Mayer, Hermann; Staub, Christoph; Bauernschmitt, Robert
Transferring non-trivial human manipulation skills to robot systems is a challenging task. There have been a number of attempts to design research systems for skill transfer, but the level of the complexity of the actual skills transferable to the robot was rather limited, and delicate operations requiring a high dexterity and long action sequences with many sub-operations were impossible to transfer. A novel approach to human-machine skill transfer for multi-arm robot systems is presented. The methodology capitalizes on the metaphor of 'scaffolded learning', which has gained widespread acceptance in psychology. The main idea is to formalize the superior knowledge of a teacher in a certain way to generate support for a trainee. In our case, the scaffolding is constituted by abstract patterns, which facilitate the structuring and segmentation of information during 'learning by demonstration'. The actual skill generalization is then based on simulating fluid dynamics. The approach has been successfully evaluated in the medical domain for the delicate task of automated knot-tying for suturing with standard surgical instruments and a realistic minimally invasive robotic surgery system. Copyright © 2012 John Wiley & Sons, Ltd.
Full Text Available The automation of recurrent tasks and force feedback are complex problems in medical robotics. We present a novel approach that extends human-machine skill-transfer by a scaffolding framework. It assumes a consolidated working environment for both, the trainee and the trainer. The trainer provides hints and cues in a basic structure which is already understood by the learner. In this work, the scaffolding is constituted by abstract patterns, which facilitate the structuring and segmentation of information during “Learning by Demonstration” (LbD. With this concept, the concrete example of knot-tying for suturing is exemplified and evaluated. During the evaluation, most problems and failures arose due to intrinsic system imprecisions of the medical robot system. These inaccuracies were then improved by the visual guidance of the surgical instruments. While the benefits of force feedback in telesurgery has already been demonstrated and measured forces are also used during task learning, the transmission of signals between the operator console and the robot system over long-distances or across-network remote connections is still a challenge due to time-delay. Especially during incision processes with a scalpel into tissue, a delayed force feedback yields to an unpredictable force perception at the operator-side and can harm the tissue which the robot is interacting with. We propose a XFEM-based incision force prediction algorithm that simulates the incision contact-forces in real-time and compensates the delayed force sensor readings. A realistic 4-arm system for minimally invasive robotic heart surgery is used as a platform for the research.
Full Text Available The goal of this work is to develop an automatic system for the evaluation of the gustatory sensitivity of patients using an electrophysiological recording of the response of bud cells to taste stimuli. In particular, the study aims to evaluate the effectiveness and limitations of supervised classifiers in the discrimination between subjects belonging to the three 6-n-propylthiouracil (PROP taster categories (supertasters, medium tasters, and non-tasters, exploiting features extracted from electrophysiological recordings of the tongue. Thirty-nine subjects (equally divided into the three PROP status classes by standard non-objective scaling methods underwent a non-invasive, differential, biopotential recording of their tongues during stimulation with PROP by using a custom-made, flexible, silver electrode. Two different classifiers were trained to recognize up to seven different features extracted from the recorded depolarization signal. The classification results indicate that the identified set of features allows to distinguish between PROP tasters and non-tasters (average accuracy of 80% ± 18% and up to 94% ± 15% when only supertasters and non-tasters are considered, but medium tasters were difficult to identify. However, these apparent classification errors are related to uncertainty in the labeling procedures, which are based on non-objective tests, in which the subjects provided borderline evaluations. Thus, using the proposed method, it is possible, for the first time, to automatically achieve objective PROP taster status identification with high accuracy. The simplicity of the recording technique allows for easy reproduction of the experimental setting; thus the technique can be used in future studies to evaluate other gustatory stimuli. The proposed approach represents the first objective and automatic method to directly measure human gustatory responses and a milestone for physiological taste studies, with applications ranging from
Valentina L. Younge
Full Text Available The implementation of electronic health records (EHRs or electronic medical records (EMRs is well documented in health informatics literature yet, very few studies focus primarily on how health professionals in direct clinical care are trained for EHR or EMR use. Purpose: To investigate how health professionals in direct clinical care are trained to prepare them for EHR or EMR use. Methods: Systematic searches were conducted in CINAHL, EMBASE, Ovid MEDLINE, PsycINFO, PubMed and ISI WoS and, the Arksey and O’Malley scoping methodological framework was used to collect the data and analyze the results. Results: Training was done at implementation, orientation and post-implementation. Implementation and orientation training had a broader scope while post-implementation training focused on proficiency, efficiency and improvement. The multiplicity of training methods, types and levels of training identified appear to suggest that training is more effective when a combination of training methods are used.
van Unen, Robert J; Tichelaar, Jelle; Nanayakkara, Prabath W B; van Agtmael, Michiel A; Richir, Milan C; de Vries, Theo P G M
Several studies have demonstrated that using a template for recording general and diagnostic information in the medical record (MR) improves the completeness of MR documentation, communication between doctors, and performance of doctors. However, little is known about how therapeutic information should be structured in the MR. The aim of this study was to investigate which specific therapeutic information registrars and consultants in internal medicine consider essential to record in the MR. Therefore, we carried out a 2-round Internet Delphi study. Fifty-nine items were assessed on a 5-point scale; an item was considered important if ≥ 80% of the respondents awarded it a score of 4 or 5. In total, 26 registrars and 30 consultants in internal medicine completed both rounds of the study. Overall, they considered it essential to include information about 11 items in the MR. Subgroup analyses revealed that the registrars considered 8 additional items essential, whereas the consultants considered 1 additional item essential to record. Study findings can be used as a starting point to develop a structured section of the MR for therapeutic information for both paper and electronic MRs. This section should contain at least 11 items considered essential by registrars and clinical consultants in internal medicine. © 2015, The American College of Clinical Pharmacology.
Full Text Available T Vivian Liao,1 Marina Rabinovich,2 Prasad Abraham,2 Sebastian Perez,3 Christiana DiPlotti,4 Jenny E Han,5 Greg S Martin,5 Eric Honig5 1Department of Pharmacy Practice, College of Pharmacy, Mercer Health Sciences Center, 2Department of Pharmacy and Clinical Nutrition, Grady Health System, 3Department of Surgery, Emory University, 4Pharmacy, Ingles Markets, 5Department of Medicine, Emory University, Atlanta, GA, USA Purpose: Patients in the intensive care unit (ICU are at an increased risk for medication errors (MEs and adverse drug events from multifactorial causes. ME rate ranges from 1.2 to 947 per 1,000 patient days in the medical ICU (MICU. Studies with the implementation of electronic health records (EHR have concluded that it significantly reduced overall prescribing errors and the number of errors that caused patient harm decreased. However, other types of errors, such as wrong dose and omission of required medications increased after EHR implementation. We sought to compare the number of MEs before and after EHR implementation in the MICU, with additional evaluation of error severity.Patients and methods: Prospective, observational, quality improvement study of all patients admitted to a single MICU service at an academic medical center. Patients were evaluated during four periods over 2 years: August–September 2010 (preimplementation; period I, January–February 2011 (2 months postimplementation; period II, August–September 2012 (21 months postimplementation; period III, and January–February 2013 (25 months postimplementation; period IV. All medication orders and administration records were reviewed by an ICU clinical pharmacist and ME was defined as a deviation from established standards for prescribing, dispensing, administering, or documenting medication. The frequency and classification of MEs were compared between groups by chi square; p<0.05 was considered significant.Results: There was a statistically significant increase
Liu, Baozhen; Liu, Zhiguo; Wang, Xianwen
A mobile operating room information management system with electronic medical record (EMR) is designed to improve work efficiency and to enhance the patient information sharing. In the operating room, this system acquires the information from various medical devices through the Client/Server (C/S) pattern, and automatically generates XML-based EMR. Outside the operating room, this system provides information access service by using the Browser/Server (B/S) pattern. Software test shows that this system can correctly collect medical information from equipment and clearly display the real-time waveform. By achieving surgery records with higher quality and sharing the information among mobile medical units, this system can effectively reduce doctors' workload and promote the information construction of the field hospital.
Bertelsen, Pernille; Nøhr, Christian
The introduction of electronic health records will entail substantial organisational changes to the clinical and administrative staff in hospitals. Hospital owners in Denmark have predicted that these changes will render up to half of medical secretaries redundant. The present study however shows...... that medical secretaries have a great variety of duties, and often act as the organisational ‘glue’ or connecting thread between other professional groups at the hospital. The aim of this study is to obtain a detailed understanding of the pluralism of work tasks the medical secretaries perform. It is concluded...... that clinicians as well as nurses depend on medical secretaries, and therefore to reduce the number of secretaries because electronic health record systems are implemented needs very careful thinking, planning and discussion with the other professions involved....
Full Text Available The article reports on experiences in e-Health platforms and services for supporting medical research into the causes and relationships among physiological parameters and health problems concerning different chronic diseases. The Personal Health Record (PHR is a way of standardizing electronic management of medical information between patients and their physicians, including medical bodies collaborating in providing integrated medical care services. We describe roles and aims behind electronic health records, follow with applicable legal and standardizations frameworks and relevant European activities, leading to the presentation of common commercial and open-source implementations of such systems, concluding with the indication of specific adaptations enabling a use of stored personal health data for scientific research into causes and evaluation of chronic illnesses. We describe ethical and privacy concerns that are relevant to using and exchanging electronic health information.
Full Text Available Management of patient records in a hospital is of major importance, for its impact both on the quality of care and on the associated costs. Since this process is circular, the prevention of the building up of bottlenecks is especially important. Thus, the objective of this paper was to analyze whether the Theory of Constraints (TOC can be useful to the logistics of medical records in hospitals. The paper is based on a case study conducted about the 2007-2011 period in the Medical Records Logistics Service at the Hospital Universitario Virgen Macarena in Seville (Spain. From April 2008, a set of actions in the clinical record logistics system were implemented based on the application of TOC principles. The results obtained show a significant increase in the level of service and employee productivity, as well as a reduction of cost and the number of patients’ complaints.
Ruud, Kari L; Johnson, Matthew G; Liesinger, Juliette T; Grafft, Carrie A; Naessens, James M
To determine whether text mining can accurately detect specific follow-up appointment criteria in free-text hospital discharge records. Cross-sectional study. Mayo Clinic Rochester hospitals. Inpatients discharged from general medicine services in 2006 (n = 6481). Textual hospital dismissal summaries were manually reviewed to determine whether the records contained specific follow-up appointment arrangement elements: date, time and either physician or location for an appointment. The data set was evaluated for the same criteria using SAS Text Miner software. The two assessments were compared to determine the accuracy of text mining for detecting records containing follow-up appointment arrangements. Agreement of text-mined appointment findings with gold standard (manual abstraction) including sensitivity, specificity, positive predictive and negative predictive values (PPV and NPV). About 55.2% (3576) of discharge records contained all criteria for follow-up appointment arrangements according to the manual review, 3.2% (113) of which were missed through text mining. Text mining incorrectly identified 3.7% (107) follow-up appointments that were not considered valid through manual review. Therefore, the text mining analysis concurred with the manual review in 96.6% of the appointment findings. Overall sensitivity and specificity were 96.8 and 96.3%, respectively; and PPV and NPV were 97.0 and 96.1%, respectively. of individual appointment criteria resulted in accuracy rates of 93.5% for date, 97.4% for time, 97.5% for physician and 82.9% for location. Text mining of unstructured hospital dismissal summaries can accurately detect documentation of follow-up appointment arrangement elements, thus saving considerable resources for performance assessment and quality-related research.
Brixval, Carina Sjöberg; Thygesen, Lau Caspar; Johansen, Nanna Roed
BACKGROUND: Data from hospital-based registers and medical records offer valuable sources of information for clinical and epidemiological research purposes. However, conducting high-quality epidemiological research requires valid and complete data sources. OBJECTIVE: To assess completeness...... and validity of a hospital-based clinical register - the Obstetric Database - using a national register and medical records as references. METHODS: We assessed completeness of a hospital-based clinical register - the Obstetric Database - by linking data from all women registered in the Obstetric Database...... Database therefore offers a valuable source for examining clinical, administrative, and research questions....
Tulu, Bengisu; Daniels, Susan; Feldman, Sue; Horan, Thomas A
This exploratory study investigated the impact of incomplete medical evidence on the SSA disability determination process and the role of HIT as a solution. We collected qualitative data from nineteen expert-interviews. Findings indicate that HIT can lead to innovative solutions that can significantly improve the determination process.
Bardach, Shoshana H; Real, Kevin; Bardach, David R
Contemporary state-of-the-art healthcare facilities are incorporating technology into their building design to improve communication and patient care. However, technological innovations may also have unintended consequences. This study seeks to better understand how technology influences interprofessional communication within a hospital setting based in the United States. Nine focus groups were conducted including a range of healthcare professions. The focus groups explored practitioners' experiences working on two floors of a newly designed hospital and included questions about the ways in which technology shaped communication with other healthcare professionals. All focus groups were recorded, transcribed, and coded to identify themes. Participant responses focused on the electronic medical record, and while some benefits of the electronic medical record were discussed, participants indicated use of the electronic medical record has resulted in a reduction of in-person communication. Different charting approaches resulted in barriers to communication between specialties and reduced confidence that other practitioners had received one's notes. Limitations in technology-including limited computer availability, documentation complexity, and sluggish sign-in processes-also were identified as barriers to effective and timely communication between practitioners. Given the ways in which technology shapes interprofessional communication, future research should explore how to create standardised electronic medical record use across professions at the optimal level to support communication and patient care.
Brandes, Susan; Wells, Karen; Bandy, Margaret
Librarians from Exempla Healthcare hospitals initiated contact with the chief medical information officer regarding evidence-based medicine activities related to the development of the system's Electronic Medical Record (EMR). This column reviews the librarians' involvement in specific initiatives that included providing comparative information on point-of-care resources to integrate into the EMR, providing evidence as needed for the order sets being developed, and participating with clinicians on an evidence-based advisory committee.
Masters, Elizabeth T.; Emir,Birol; Mardekian,Jack; Clair,Andrew; Kuhn,Max; Silverman,Stuart
Birol Emir,1 Elizabeth T Masters,1 Jack Mardekian,1 Andrew Clair,1 Max Kuhn,2 Stuart L Silverman,3 1Pfizer Inc., New York, NY, 2Pfizer Inc., Groton, CT, 3Cedars-Sinai Medical Center, Los Angeles, CA, USA Background: Diagnosis of fibromyalgia (FM), a chronic musculoskeletal condition characterized by widespread pain and a constellation of symptoms, remains challenging and is often delayed. Methods: Random forest modeling of electronic medical records was used to identify variables that may fa...
Wang, Huaqun; Wu, Qianhong; Qin, Bo; Domingo-Ferrer, Josep
Cloud computing is emerging as the next-generation IT architecture. However, cloud computing also raises security and privacy concerns since the users have no physical control over the outsourced data. This paper focuses on fairly retrieving encrypted private medical records outsourced to remote untrusted cloud servers in the case of medical accidents and disputes. Our goal is to enable an independent committee to fairly recover the original private medical records so that medical investigation can be carried out in a convincing way. We achieve this goal with a fair remote retrieval (FRR) model in which either t investigation committee members cooperatively retrieve the original medical data or none of them can get any information on the medical records. We realize the first FRR scheme by exploiting fair multi-member key exchange and homomorphic privately verifiable tags. Based on the standard computational Diffie-Hellman (CDH) assumption, our scheme is provably secure in the random oracle model (ROM). A detailed performance analysis and experimental results show that our scheme is efficient in terms of communication and computation. Copyright © 2014 Elsevier Inc. All rights reserved.
Medication errors are a major source of preventable morbidity, mortality and cost and many occur at the times of hospital admission and discharge. Novel interventions (such as new methods of recording medication information and conducting medication reconciliation) are required to facilitate accurate transfer of medication information. With existing evidence supporting the use of information technology and the patient representing the one constant in the care process, an electronic patient held medication record may provide a solution. This study will assess the feasibility of introducing a patient held electronic medication record in primary and secondary care using the Consolidated Framework for Implementation Research (CFIR).This feasibility study is a mixed method study of community dwelling older adult patients admitted to an urban secondary care facility comprising a non-randomised intervention and qualitative interviews with key stakeholders. Outcomes of interest include clinical outcomes and process evaluation.This study will yield insights pertaining to feasibility, acceptability and participation for a more definitive evaluation of the intervention. The study also has the potential to contribute to knowledge of implementation of technology in a healthcare context and to the broader area of implementation science.
Kelly, John W.; Siewiorek, Daniel P.; Smailagic, Asim; Wang, Wei
The removal of spatially correlated noise is an important step in processing multi-channel recordings. Here, a technique termed the adaptive common average reference (ACAR) is presented as an effective and simple method for removing this noise. The ACAR is based on a combination of the well-known common average reference (CAR) and an adaptive noise canceling (ANC) filter. In a convergent process, the CAR provides a reference to an ANC filter, which in turn provides feedback to enhance the CAR. This method was effective on both simulated and real data, outperforming the standard CAR when the amplitude or polarity of the noise changes across channels. In many cases the ACAR even outperformed independent component analysis (ICA). On 16 channels of simulated data the ACAR was able to attenuate up to approximately 290 dB of noise and could improve signal quality if the original SNR was as high as 5 dB. With an original SNR of 0 dB, the ACAR improved signal quality with only two data channels and performance improved as the number of channels increased. It also performed well under many different conditions for the structure of the noise and signals. Analysis of contaminated electrocorticographic (ECoG) recordings further showed the effectiveness of the ACAR. PMID:23708770
Kelly, John W; Siewiorek, Daniel P; Smailagic, Asim; Wang, Wei
The removal of spatially correlated noise is an important step in processing multichannel recordings. Here, a technique termed the adaptive common average reference (ACAR) is presented as an effective and simple method for removing this noise. The ACAR is based on a combination of the well-known common average reference (CAR) and an adaptive noise canceling (ANC) filter. In a convergent process, the CAR provides a reference to an ANC filter, which in turn provides feedback to enhance the CAR. This method was effective on both simulated and real data, outperforming the standard CAR when the amplitude or polarity of the noise changes across channels. In many cases, the ACAR even outperformed independent component analysis. On 16 channels of simulated data, the ACAR was able to attenuate up to approximately 290 dB of noise and could improve signal quality if the original SNR was as high as 5 dB. With an original SNR of 0 dB, the ACAR improved signal quality with only two data channels and performance improved as the number of channels increased. It also performed well under many different conditions for the structure of the noise and signals. Analysis of contaminated electrocorticographic recordings further showed the effectiveness of the ACAR.
Crosby, Priya; Hoyle, Nathaniel P; O'Neill, John S
Luciferase-based reporters of cellular gene expression are in widespread use for both longitudinal and end-point assays of biological activity. In circadian rhythms research, for example, clock gene fusions with firefly luciferase give rise to robust rhythms in cellular bioluminescence that persist over many days. Technical limitations associated with photomultiplier tubes (PMT) or conventional microscopy-based methods for bioluminescence quantification have typically demanded that cells and tissues be maintained under quite non-physiological conditions during recording, with a trade-off between sensitivity and throughput. Here, we report a refinement of prior methods that allows long-term bioluminescence imaging with high sensitivity and throughput which supports a broad range of culture conditions, including variable gas and humidity control, and that accepts many different tissue culture plates and dishes. This automated longitudinal luciferase imaging gas- and temperature-optimized recorder (ALLIGATOR) also allows the observation of spatial variations in luciferase expression across a cell monolayer or tissue, which cannot readily be observed by traditional methods. We highlight how the ALLIGATOR provides vastly increased flexibility for the detection of luciferase activity when compared with existing methods.
Duz, Marco; Marshall, John F; Parkin, Tim
The use of electronic medical records (EMRs) offers opportunity for clinical epidemiological research. With large EMR databases, automated analysis processes are necessary but require thorough validation before they can be routinely used. The aim of this study was to validate a computer-assisted technique using commercially available content analysis software (SimStat-WordStat v.6 (SS/WS), Provalis Research) for mining free-text EMRs. The dataset used for the validation process included life-long EMRs from 335 patients (17,563 rows of data), selected at random from a larger dataset (141,543 patients, ~2.6 million rows of data) and obtained from 10 equine veterinary practices in the United Kingdom. The ability of the computer-assisted technique to detect rows of data (cases) of colic, renal failure, right dorsal colitis, and non-steroidal anti-inflammatory drug (NSAID) use in the population was compared with manual classification. The first step of the computer-assisted analysis process was the definition of inclusion dictionaries to identify cases, including terms identifying a condition of interest. Words in inclusion dictionaries were selected from the list of all words in the dataset obtained in SS/WS. The second step consisted of defining an exclusion dictionary, including combinations of words to remove cases erroneously classified by the inclusion dictionary alone. The third step was the definition of a reinclusion dictionary to reinclude cases that had been erroneously classified by the exclusion dictionary. Finally, cases obtained by the exclusion dictionary were removed from cases obtained by the inclusion dictionary, and cases from the reinclusion dictionary were subsequently reincluded using Rv3.0.2 (R Foundation for Statistical Computing, Vienna, Austria). Manual analysis was performed as a separate process by a single experienced clinician reading through the dataset once and classifying each row of data based on the interpretation of the free
Yang, Che-Ming; Lin, Herng-Ching; Chang, Polun; Jian, Wen-Shan
The protection of patients' health information is a very important concern in the information age. The purpose of this study is to ascertain what constitutes an effective legal framework in protecting both the security and privacy of health information, especially electronic medical records. All sorts of bills regarding electronic medical data protection have been proposed around the world including Health Insurance Portability and Accountability Act (HIPAA) of the U.S. The trend of a centralized bill that focuses on managing computerized health information is the part that needs our further attention. Under the sponsor of Taiwan's Department of Health (DOH), our expert panel drafted the "Medical Information Security and Privacy Protection Guidelines", which identifies nine principles and entails 12 articles, in the hope that medical organizations will have an effective reference in how to manage their medical information in a confidential and secured fashion especially in electronic transactions.
Laing, G L; Bruce, J L; Skinner, D L; Allorto, N L; Clarke, D L; Aldous, C
The Pietermaritzburg Metropolitan Trauma Service previously successfully constructed and implemented an electronic surgical registry (ESR). This study reports on our attempts to expand and develop this concept into a multi-functional hybrid electronic medical record (HEMR) system for use in a tertiary level surgical service. This HEMR system was designed to incorporate the function and benefits of an ESR, an electronic medical record (EMR) system, and a clinical decision support system (CDSS). Formal ethical approval to maintain the HEMR system was obtained. Appropriate software was sourced to develop the project. The data model was designed as a relational database. Following the design and construction process, the HEMR file was launched on a secure server. This provided the benefits of access security and automated backups. A systematic training program was implemented for client training. The exercise of data capture was integrated into the process of clinical workflow, taking place at multiple points in time. Data were captured at the times of admission, operative intervention, endoscopic intervention, adverse events (morbidity), and the end of patient care (discharge, transfer, or death). A quarterly audit was performed 3 months after implementation of the HEMR system. The data were extracted and audited to assess their quality. A total of 1,114 patient entries were captured in the system. Compliance rates were in the order of 87-100 %, and client satisfaction rates were high. It is possible to construct and implement a unique, simple, cost-effective HEMR system in a developing world surgical service. This information system is unique in that it combines the discrete functions of an EMR system with an ESR and a CDSS. We identified a number of potential limitations and developed interventions to ameliorate them. This HEMR system provides the necessary platform for ongoing quality improvement programs and clinical research.
Seyfried, Lisa; Hanauer, David A; Nease, Donald; Albeiruti, Rashad; Kavanagh, Janet; Kales, Helen C
Electronic medical records (EMRs) have become part of daily practice for many physicians. Attempts have been made to apply electronic search engine technology to speed EMR review. This was a prospective, observational study to compare the speed and clinical accuracy of a medical record search engine vs. manual review of the EMR. Three raters reviewed 49 cases in the EMR to screen for eligibility in a depression study using the electronic medical record search engine (EMERSE). One week later raters received a scrambled set of the same patients including 9 distractor cases, and used manual EMR review to determine eligibility. For both methods, accuracy was assessed for the original 49 cases by comparison with a gold standard rater. Use of EMERSE resulted in considerable time savings; chart reviews using EMERSE were significantly faster than traditional manual review (p=0.03). The percent agreement of raters with the gold standard (e.g. concurrent validity) using either EMERSE or manual review was not significantly different. Using a search engine optimized for finding clinical information in the free-text sections of the EMR can provide significant time savings while preserving clinical accuracy. The major power of this search engine is not from a more advanced and sophisticated search algorithm, but rather from a user interface designed explicitly to help users search the entire medical record in a way that protects health information.
Provides details pertaining to the Occupational Safety and Health Administration (OSHA) ruling that gives employees, their designated representatives, and OSHA the right to examine their on-the-job medical records. Discusses the effects the ruling may have on organizations. (Author/MLF)
Aldukheil, Maher A.
The Healthcare industry is characterized by its complexity in delivering care to the patients. Accordingly, healthcare organizations adopt and implement Information Technology (IT) solutions to manage complexity, improve quality of care, and transform to a fully integrated and digitized environment. Electronic Medical Records (EMR), which is…
Biermans, M.C.J.; Verheij, R.A.; Bakker, D.H. de; Zielhuis, G.A.; Vries Robbé, P.F. de
Objectives: In this study, we evaluated the internal validity of EPICON, an application for grouping ICPCcoded diagnoses from electronic medical records into episodes of care. These episodes are used to estimate morbidity rates in general practice. Methods: Morbidity rates based on EPICON were
... concerning the protection of trade secret information. (b) Scope and application. (1) This section applies to... using exposure or medical records means any compilation of data or any statistical study based at least... methodology (sampling plan), a description of the analytical and mathematical methods used, and a summary of...
Yang, Zhongliang; Huang, Yongfeng; Jiang, Yiran; Sun, Yuxi; Zhang, Yu-Jin; Luo, Pengcheng
Automatically extracting useful information from electronic medical records along with conducting disease diagnoses is a promising task for both clinical decision support(CDS) and neural language processing(NLP). Most of the existing systems are based on artificially constructed knowledge bases, and then auxiliary diagnosis is done by rule matching. In this study, we present a clinical intelligent decision approach based on Convolutional Neural Networks(CNN), which can automatically extract high-level semantic information of electronic medical records and then perform automatic diagnosis without artificial construction of rules or knowledge bases. We use collected 18,590 copies of the real-world clinical electronic medical records to train and test the proposed model. Experimental results show that the proposed model can achieve 98.67% accuracy and 96.02% recall, which strongly supports that using convolutional neural network to automatically learn high-level semantic features of electronic medical records and then conduct assist diagnosis is feasible and effective.
Gardner, Carrie Lee; Pearce, Patricia F
Since 2004, increasing importance has been placed on the adoption of electronic medical records by healthcare providers for documentation of patient care. Recent federal regulations have shifted the focus from adoption alone to meaningful use of an electronic medical record system. As proposed by the Technology Acceptance Model, the behavioral intention to use technology is determined by the person's attitude toward usage. The purpose of this quality improvement project was to devise and implement customized templates into an existent electronic medical record system in a single clinic and measure the satisfaction of the clinic providers with the system before and after implementation. Provider satisfaction with the electronic medical record system was evaluated prior to and following template implementation using the current version 7.0 of the Questionnaire for User Interaction Satisfaction tool. Provider comments and improvement in the Questionnaire for User Interaction Satisfaction levels of rankings following template implementation indicated a positive perspective by the providers in regard to the templates and customization of the system.
... Does the HIPAA Privacy Rule allow parents the right to see their children’s medical records? Answer: Yes, the Privacy Rule generally ... as the child’s personal representative could endanger the child. Date Created: 12/19/2002 Content ... last reviewed on July 26, 2013 ...
Capacity Building in Open Medical Record System (OpenMRS) in Rwanda ... Partners in Health (PIH), an international nongovernmental organization, has demonstrated the usefulness of ... Journal articles ... will fund social science, population and public health, and health systems research relevant to the emerging crisis.
Blakey, John D.; Price, David B.; Pizzichini, Emilio; Popov, Todor A.; Dimitrov, Borislav D.; Postma, Dirkje S.; Josephs, Lynn K.; Kaplan, Alan; Papi, Alberto; Kerkhof, Marjan; Hillyer, Elizabeth V.; Chisholm, Alison; Thomas, Mike
BACKGROUND: Asthma attacks are common, serious, and costly. Individual factors associated with attacks, such as poor symptom control, are not robust predictors. OBJECTIVE: We investigated whether the rich data available in UK electronic medical records could identify patients at risk of recurrent
This study focused on the clinical workflow evolutions when implementing the health information technology (HIT). The study especially emphasized on administrating medication when the electronic health record (EHR) systems were adopted at rural healthcare facilities. Mixed-mode research methods, such as survey, observation, and focus group, were…
Harton, Brenda B; Borrelli, Larry; Knupp, Ann; Rogers, Necolen; West, Vickie R
Traditional nursing service orientation classes at an acute care hospital were integrated with orientation to the electronic medical record to blend the two components in a user-friendly format so that the learner is introduced to the culture, processes, and documentation methods of the organization, with an opportunity to document online in a practice domain while lecture and discussion information is fresh.
Fathelrahman Ahmed I
Full Text Available Abstract Background The main objective of the present study was to evaluate the agreement between questionnaire and medical records on some health and socioeconomic problems among poisoning cases. Methods Cross-sectional sample of 100 poisoning cases consecutively admitted to the Hospital Pulau Pinang, Malaysia during the period from September 2003 to February 2004 were studied. Data on health and socioeconomic problems were collected both by self-administered questionnaire and from medical records. Agreement between the two sets of data was assessed by calculating the concordance rate, Kappa (k and PABAK. McNemar statistic was used to test differences between categories. Results Data collected by questionnaire and medical records showed excellent agreement on the "marital status"; good agreements on "chronic illness", "psychiatric illness", and "previous history of poisoning"; and fair agreements on "at least one health problem", and "boy-girl friends problem". PABAK values suggest better agreements' measures. Conclusion There were excellent to good agreements between questionnaire and medical records on the marital status and most of the health problems and fair to poor agreements on the majority of socioeconomic problems. The implications of those findings were discussed.
Hertzum, Morten; Granlien, Maren Fich
Region Zealand's electronic medication record is generally perceived by hospital staff as useful but not that easy to use. Neither perceived usefulness nor perceived ease of use is more than weakly correlated with actual adoption. The complex work domain with interdependent staff groups and many...
Yang, Chao-Tung; Liu, Jung-Chun; Chen, Shuo-Tsung; Lu, Hsin-Wen
Big Data analysis has become a key factor of being innovative and competitive. Along with population growth worldwide and the trend aging of population in developed countries, the rate of the national medical care usage has been increasing. Due to the fact that individual medical data are usually scattered in different institutions and their data formats are varied, to integrate those data that continue increasing is challenging. In order to have scalable load capacity for these data platforms, we must build them in good platform architecture. Some issues must be considered in order to use the cloud computing to quickly integrate big medical data into database for easy analyzing, searching, and filtering big data to obtain valuable information.This work builds a cloud storage system with HBase of Hadoop for storing and analyzing big data of medical records and improves the performance of importing data into database. The data of medical records are stored in HBase database platform for big data analysis. This system performs distributed computing on medical records data processing through Hadoop MapReduce programming, and to provide functions, including keyword search, data filtering, and basic statistics for HBase database. This system uses the Put with the single-threaded method and the CompleteBulkload mechanism to import medical data. From the experimental results, we find that when the file size is less than 300MB, the Put with single-threaded method is used and when the file size is larger than 300MB, the CompleteBulkload mechanism is used to improve the performance of data import into database. This system provides a web interface that allows users to search data, filter out meaningful information through the web, and analyze and convert data in suitable forms that will be helpful for medical staff and institutions.
Caine, Kelly; Hanania, Rima
To assess patients' desire for granular level privacy control over which personal health information should be shared, with whom, and for what purpose; and whether these preferences vary based on sensitivity of health information. A card task for matching health information with providers, questionnaire, and interview with 30 patients whose health information is stored in an electronic medical record system. Most patients' records contained sensitive health information. No patients reported that they would prefer to share all information stored in an electronic medical record (EMR) with all potential recipients. Sharing preferences varied by type of information (EMR data element) and recipient (eg, primary care provider), and overall sharing preferences varied by participant. Patients with and without sensitive records preferred less sharing of sensitive versus less-sensitive information. Patients expressed sharing preferences consistent with a desire for granular privacy control over which health information should be shared with whom and expressed differences in sharing preferences for sensitive versus less-sensitive EMR data. The pattern of results may be used by designers to generate privacy-preserving EMR systems including interfaces for patients to express privacy and sharing preferences. To maintain the level of privacy afforded by medical records and to achieve alignment with patients' preferences, patients should have granular privacy control over information contained in their EMR.
Full Text Available This study examines a new approach of using the Design Structure Matrix (DSM modeling technique to improve the design of Electronic Medical Record (EMR user interfaces. The usability of an EMR medication dosage calculator used for placing orders in an academic hospital setting was investigated. The proposed method captures and analyzes the interactions between user interface elements of the EMR system and groups elements based on information exchange, spatial adjacency, and similarity to improve screen density and time-on-task. Medication dose adjustment task time was recorded for the existing and new designs using a cognitive simulation model that predicts user performance. We estimate that the design improvement could reduce time-on-task by saving an average of 21 hours of hospital physicians’ time over the course of a month. The study suggests that the application of DSM can improve the usability of an EMR user interface.
Rosenman Marc B
Full Text Available Abstract Background Residential address is a common element in patient electronic medical records. Guidelines from the U.S. Centers for Disease Control and Prevention specify that residence in a nursing home, skilled nursing facility, or hospice within a year prior to a positive culture date is among the criteria for differentiating healthcare-acquired from community-acquired methicillin-resistant Staphylococcus aureus (MRSA infections. Residential addresses may be useful for identifying patients residing in healthcare-associated settings, but methods for categorizing residence type based on electronic medical records have not been widely documented. The aim of this study was to develop a process to assist in differentiating healthcare-associated from community-associated MRSA infections by analyzing patient addresses to determine if residence reported at the time of positive culture was associated with a healthcare facility or other institutional location. Results We identified 1,232 of the patients (8.24% of the sample with positive cultures as probable cases of healthcare-associated MRSA based on residential addresses contained in electronic medical records. Combining manual review with linking to institutional address databases improved geocoding rates from 11,870 records (79.37% to 12,549 records (83.91%. Standardization of patient home address through geocoding increased the number of matches to institutional facilities from 545 (3.64% to 1,379 (9.22%. Conclusions Linking patient home address data from electronic medical records to institutional residential databases provides useful information for epidemiologic researchers, infection control practitioners, and clinicians. This information, coupled with other clinical and laboratory data, can be used to inform differentiation of healthcare-acquired from community-acquired infections. The process presented should be extensible with little or no added data costs.
Wright, Adam; Bates, David W
BACKGROUND: Many natural phenomena demonstrate power-law distributions, where very common items predominate. Problems, medications and lab results represent some of the most important data elements in medicine, but their overall distribution has not been reported. OBJECTIVE: Our objective is to determine whether problems, medications and lab results demonstrate a power law distribution. METHODS: Retrospective review of electronic medical record data for 100,000 randomly selected patients seen at least twice in 2006 and 2007 at the Brigham and Women's Hospital in Boston and its affiliated medical practices. RESULTS: All three data types exhibited a power law distribution. The 12.5% most frequently used problems account for 80% of all patient problems, the top 11.8% of medications account for 80% of all medication orders and the top 4.5% of lab result types account for all lab results. CONCLUSION: These three data elements exhibited power law distributions with a small number of common items representing a substantial proportion of all orders and observations, which has implications for electronic health record design.
Full Text Available Background: Nurses in primary healthcare record data for the monitoring and evaluation of diseases and services. Information and communications technology (ICT can improve quality in healthcare by providing quality medical records. However, worldwide, the majority of health ICT projects have failed. Individual user acceptance is a crucial factor in successful ICT implementation. Objectives: The aim of this study is to explore nurses’ knowledge, attitudes and perceptions regarding ICT so as to inform the future implementation of electronic medical record (EMR systems. Methods: A qualitative design was used. Semi-structured interviews were undertaken with nurses at three community health centres (CHCs in the King Sabata Dalyindyebo Local Municipality. The interview guide was informed by the literature on user acceptance of ICT. Interviews were recorded and analysed using content analysis. Results: Many nurses knew about health ICT and articulated clearly the potential benefits of an EMR such as fewer errors, more complete records, easier reporting and access to information. They thought that an EMR system would solve the challenges they identified with the current paper-based record system, including duplication of data, misfiling, lack of a chronological patient record, excessive time in recording and reduced time for patient care. For personal ICT needs, approximately half used cellphone Internet-based services and computers. Conclusions: In this study, nurses identified many challenges with the current recording methods. They thought that an EMR should be installed at CHCs. Their knowledge about EMR, positive attitudes to ICT and personal use of ICT devices increase the likelihood of successful EMR implementation at CHCs.
Full Text Available Background: Nurses in primary healthcare record data for the monitoring and evaluation of diseases and services. Information and communications technology (ICT can improve quality in healthcare by providing quality medical records. However, worldwide, the majority of health ICT projects have failed. Individual user acceptance is a crucial factor in successful ICT implementation. Objectives: The aim of this study is to explore nurses’ knowledge, attitudes and perceptions regarding ICT so as to inform the future implementation of electronic medical record (EMR systems. Methods: A qualitative design was used. Semi-structured interviews were undertaken with nurses at three community health centres (CHCs in the King Sabata Dalyindyebo Local Municipality. The interview guide was informed by the literature on user acceptance of ICT. Interviews were recorded and analysed using content analysis. Results: Many nurses knew about health ICT and articulated clearly the potential benefits of an EMR such as fewer errors, more complete records, easier reporting and access to information. They thought that an EMR system would solve the challenges they identified with the current paper-based record system, including duplication of data, misfiling, lack of a chronological patient record, excessive time in recording and reduced time for patient care. For personal ICT needs, approximately half used cellphone Internet-based services and computers. Conclusions: In this study, nurses identified many challenges with the current recording methods. They thought that an EMR should be installed at CHCs. Their knowledge about EMR, positive attitudes to ICT and personal use of ICT devices increase the likelihood of successful EMR implementation at CHCs.
Johnson, Thomas; Dietrich, Jeffrey; Hagan, Larry
The Joint Task Force on Practice Parameters for Allergy and Immunology recommends that patients with a history of a systemic reaction to an insect sting be educated on ways to avoid insect stings, carry injectable epinephrine for emergency self-treatment, undergo specific IgE testing for stinging insect sensitivity, and be considered for immunotherapy. To review frontline providers' documented care and recommendations for imported fire ant and flying insect hypersensitivity reactions. A retrospective medical record review was performed of emergency department and primary care clinic visits between November 1, 1999, and November 30, 2004. Using International Classification of Diseases, Ninth Revision, codes, medical records were selected for review to identify patients with potential insect hypersensitivity. A total of 769 medical records from patients who experienced an insect sting were reviewed. Of 120 patients with a systemic reaction, 66 (55.0%) received a prescription for injectable epinephrine, and 14 (11.7%) were given information regarding avoidance of the offending insect. Forty-seven patients with systemic reactions (39.2%) were referred to an allergist. Of 28 patients who kept their appointments and underwent skin testing, 3 had negative results and 25 (89%) had positive results and were advised to start immunotherapy. Adherence to the stinging insect hypersensitivity practice parameter recommendations is poor. Many patients who have experienced a systemic reaction after an insect sting and have sought medical care are not afforded an opportunity for potentially lifesaving therapy.
Driscoll, Molly; Gurka, David
The fast-paced environment of hospitals contributes to communication failures between health care providers while impacting patient care and patient flow. An effective mechanism for sharing patients' discharge information with health care team members is required to improve patient throughput. The communication of a patient's discharge plan was identified as crucial in alleviating patient flow delays at a tertiary care, academic medical center. By identifying the patients who were expected to be discharged the following day, the health care team could initiate discharge preparations in advance to improve patient care and patient flow. The patients' electronic medical record served to convey dynamic information regarding the patients' discharge status to the health care team via conditional discharge orders. Two neurosciences units piloted a conditional discharge order initiative. Conditional discharge orders were designed in the electronic medical record so that the conditions for discharge were listed in a dropdown menu. The health care team was trained on the conditional discharge order protocol, including when to write them, how to find them in the patients' electronic medical record, and what actions should be prompted by these orders. On average, 24% of the patients discharged had conditional discharge orders written the day before discharge. The average discharge time for patients with conditional discharge orders decreased by 83 minutes (0.06 day) from baseline. Qualitatively, the health care team reported improved workflows with conditional orders. The conditional discharge orders allowed physicians to communicate pending discharges electronically to the multidisciplinary team. The initiative positively impacted patient discharge times and workflows.
Full Text Available Purpose. Electronic health record systems provide great opportunity to study most diseases. Objective of this study was to determine whether electronic medical records (EMR in ophthalmology contribute to management of rare eye diseases, isolated or in syndromes. Study was designed to identify and collect patients’ data with ophthalmology-specific EMR. Methods. Ophthalmology-specific EMR software (Softalmo software Corilus was used to acquire ophthalmological ocular consultation data from patients with five rare eye diseases. The rare eye diseases and data were selected and collected regarding expertise of eye center. Results. A total of 135,206 outpatient consultations were performed between 2011 and 2014 in our medical center specialized in rare eye diseases. The search software identified 29 congenital aniridia, 6 Axenfeld/Rieger syndrome, 11 BEPS, 3 Nanophthalmos, and 3 Rubinstein-Taybi syndrome. Discussion. EMR provides advantages for medical care. The use of ophthalmology-specific EMR is reliable and can contribute to a comprehensive ocular visual phenotype useful for clinical research. Conclusion. Routinely EMR acquired with specific software dedicated to ophthalmology provides sufficient detail for rare diseases. These software-collected data appear useful for creating patient cohorts and recording ocular examination, avoiding the time-consuming analysis of paper records and investigation, in a University Hospital linked to a National Reference Rare Center Disease.
Bremond-Gignac, Dominique; Lewandowski, Elisabeth; Copin, Henri
Electronic health record systems provide great opportunity to study most diseases. Objective of this study was to determine whether electronic medical records (EMR) in ophthalmology contribute to management of rare eye diseases, isolated or in syndromes. Study was designed to identify and collect patients' data with ophthalmology-specific EMR. Ophthalmology-specific EMR software (Softalmo software Corilus) was used to acquire ophthalmological ocular consultation data from patients with five rare eye diseases. The rare eye diseases and data were selected and collected regarding expertise of eye center. A total of 135,206 outpatient consultations were performed between 2011 and 2014 in our medical center specialized in rare eye diseases. The search software identified 29 congenital aniridia, 6 Axenfeld/Rieger syndrome, 11 BEPS, 3 Nanophthalmos, and 3 Rubinstein-Taybi syndrome. EMR provides advantages for medical care. The use of ophthalmology-specific EMR is reliable and can contribute to a comprehensive ocular visual phenotype useful for clinical research. Routinely EMR acquired with specific software dedicated to ophthalmology provides sufficient detail for rare diseases. These software-collected data appear useful for creating patient cohorts and recording ocular examination, avoiding the time-consuming analysis of paper records and investigation, in a University Hospital linked to a National Reference Rare Center Disease.
Hamiel, Uri; Hecht, Idan; Nemet, Achia; Pe'er, Liron; Man, Vitaly; Hilely, Assaf; Achiron, Asaf
Abbreviations are common in the medical record. Their inappropriate use may ultimately lead to patient harm, yet little is known regarding the extent of their use and their comprehension. Our aim was to assess the extent of their use, their comprehension and physicians' attitudes towards them, using ophthalmology consults in a tertiary hospital as a model. We first mapped the frequency with which English abbreviations were used in the departments' computerised databases. We then used the most frequently used abbreviations as part of a cross-sectional survey designed to assess the attitudes of non-ophthalmologist physicians towards the abbreviations and their comprehension of them. Finally, we tested whether an online lecture would improve comprehension. 4375 records were screened, and 235 physicians responded to the survey. Only 42.5% knew at least 10% of the abbreviations, and no one knew them all. Ninety-two per cent of respondents admitted to searching online for the meanings of abbreviations, and 59.1% believe abbreviations should be prohibited in medical records. A short online lecture improved the number of respondents answering correctly at least 50% of the time from 1.2% to 42% (Pmedical records and are frequently misinterpreted. Online teaching is a valuable tool for physician education. The majority of respondents believed that misinterpreting abbreviations could negatively impact patient care, and that the use of abbreviations should be prohibited in medical records. Due to low rates of comprehension and negative attitudes towards abbreviations in medical communications, we believe their use should be discouraged. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Palttala, Iida; Heinämäki, Jyrki; Honkanen, Outi; Suominen, Risto; Antikainen, Osmo; Hirvonen, Jouni; Yliruusi, Jouko
To date, little is known on applicability of different types of pharmaceutical dosage forms in an automated high-speed multi-dose dispensing process. The purpose of the present study was to identify and further investigate various process-induced and/or product-related limitations associated with multi-dose dispensing process. The rates of product defects and dose dispensing errors in automated multi-dose dispensing were retrospectively investigated during a 6-months follow-up period. The study was based on the analysis of process data of totally nine automated high-speed multi-dose dispensing systems. Special attention was paid to the dependence of multi-dose dispensing errors/product defects and pharmaceutical tablet properties (such as shape, dimensions, weight, scored lines, coatings, etc.) to profile the most suitable forms of tablets for automated dose dispensing systems. The relationship between the risk of errors in dose dispensing and tablet characteristics were visualized by creating a principal component analysis (PCA) model for the outcome of dispensed tablets. The two most common process-induced failures identified in the multi-dose dispensing are predisposal of tablet defects and unexpected product transitions in the medication cassette (dose dispensing error). The tablet defects are product-dependent failures, while the tablet transitions are dependent on automated multi-dose dispensing systems used. The occurrence of tablet defects is approximately twice as common as tablet transitions. Optimal tablet preparation for the high-speed multi-dose dispensing would be a round-shaped, relatively small/middle-sized, film-coated tablet without any scored line. Commercial tablet products can be profiled and classified based on their suitability to a high-speed multi-dose dispensing process.
Duke, Jon D; Morea, Justin; Mamlin, Burke; Martin, Douglas K; Simonaitis, Linas; Takesue, Blaine Y; Dixon, Brian E; Dexter, Paul R
Regenstrief Institute developed one of the seminal computerized order entry systems, the Medical Gopher, for implementation at Wishard Hospital nearly three decades ago. Wishard Hospital and Regenstrief remain committed to homegrown software development, and over the past 4 years we have fully rebuilt Gopher with an emphasis on usability, safety, leveraging open source technologies, and the advancement of biomedical informatics research. Our objective in this paper is to summarize the functionality of this new system and highlight its novel features. Applying a user-centered design process, the new Gopher was built upon a rich-internet application framework using an agile development process. The system incorporates order entry, clinical documentation, result viewing, decision support, and clinical workflow. We have customized its use for the outpatient, inpatient, and emergency department settings. The new Gopher is now in use by over 1100 users a day, including an average of 433 physicians caring for over 3600 patients daily. The system includes a wizard-like clinical workflow, dynamic multimedia alerts, and a familiar 'e-commerce'-based interface for order entry. Clinical documentation is enhanced by real-time natural language processing and data review is supported by a rapid chart search feature. As one of the few remaining academically developed order entry systems, the Gopher has been designed both to improve patient care and to support next-generation informatics research. It has achieved rapid adoption within our health system and suggests continued viability for homegrown systems in settings of close collaboration between developers and providers. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.
Kim, H; Lee, H; Choi, K; Ye, S
Purpose: The mechanical quality assurance (QA) of medical accelerators consists of a time consuming series of procedures. Since most of the procedures are done manually – e.g., checking gantry rotation angle with the naked eye using a level attached to the gantry –, it is considered to be a process with high potential for human errors. To remove the possibilities of human errors and reduce the procedure duration, we developed a smartphone application for automated mechanical QA. Methods: The preparation for the automated process was done by attaching a smartphone to the gantry facing upward. For the assessments of gantry and collimator angle indications, motion sensors (gyroscope, accelerator, and magnetic field sensor) embedded in the smartphone were used. For the assessments of jaw position indicator, cross-hair centering, and optical distance indicator (ODI), an optical-image processing module using a picture taken by the high-resolution camera embedded in the smartphone was implemented. The application was developed with the Android software development kit (SDK) and OpenCV library. Results: The system accuracies in terms of angle detection error and length detection error were < 0.1° and < 1 mm, respectively. The mean absolute error for gantry and collimator rotation angles were 0.03° and 0.041°, respectively. The mean absolute error for the measured light field size was 0.067 cm. Conclusion: The automated system we developed can be used for the mechanical QA of medical accelerators with proven accuracy. For more convenient use of this application, the wireless communication module is under development. This system has a strong potential for the automation of the other QA procedures such as light/radiation field coincidence and couch translation/rotations
Kim, H [Interdisciplinary Program in Radiation applied Life Science, College of Medicine, Seoul National University, Seoul (Korea, Republic of); Lee, H; Choi, K [Program in Biomedical Radiation Sciences, Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul (Korea, Republic of); Ye, S [Interdisciplinary Program in Radiation applied Life Science, College of Medicine, Seoul National University, Seoul (Korea, Republic of); Program in Biomedical Radiation Sciences, Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul (Korea, Republic of); Department of Radiation Oncology, Seoul National University Hospital, Seoul (Korea, Republic of)
Purpose: The mechanical quality assurance (QA) of medical accelerators consists of a time consuming series of procedures. Since most of the procedures are done manually – e.g., checking gantry rotation angle with the naked eye using a level attached to the gantry –, it is considered to be a process with high potential for human errors. To remove the possibilities of human errors and reduce the procedure duration, we developed a smartphone application for automated mechanical QA. Methods: The preparation for the automated process was done by attaching a smartphone to the gantry facing upward. For the assessments of gantry and collimator angle indications, motion sensors (gyroscope, accelerator, and magnetic field sensor) embedded in the smartphone were used. For the assessments of jaw position indicator, cross-hair centering, and optical distance indicator (ODI), an optical-image processing module using a picture taken by the high-resolution camera embedded in the smartphone was implemented. The application was developed with the Android software development kit (SDK) and OpenCV library. Results: The system accuracies in terms of angle detection error and length detection error were < 0.1° and < 1 mm, respectively. The mean absolute error for gantry and collimator rotation angles were 0.03° and 0.041°, respectively. The mean absolute error for the measured light field size was 0.067 cm. Conclusion: The automated system we developed can be used for the mechanical QA of medical accelerators with proven accuracy. For more convenient use of this application, the wireless communication module is under development. This system has a strong potential for the automation of the other QA procedures such as light/radiation field coincidence and couch translation/rotations.
Full Text Available The modern physician is often multiparadigmatic as he serves many different types of people in many different existential circumstances. The physician basically often has three, very different sets of technologies or “toolboxes” at his disposal, derived from three different medical paradigms: classical, manual medicine; biomedicine; and holistic or consciousness-oriented medicine. For lack of a better term, we have called the extended medical science — integrating these three different paradigms and their three strands of tools and methods — the “new medicine”. The excellent physician, mastering the “new medicine”, uses the most efficient way to help every patient, giving him or her exactly what is needed under the circumstances. The excellent physician will choose the right paradigm(s for the person, the illness, or the situation, and will use the case record to keep track of all the subjective and objective factors and events involved in the process of healing through time. The case or medical record has the following purposes: A. Reflection: To keep track of facts, to provide an overview, to encourage causal analysis, to support research and learning, and to reveal mistakes easily. B. Communication: To communicate with the patient with a printout of the case record to create trust and help the patient to remember all assignments and exercises. C. Evidence and safety: To provide evidence and safety for the patient or to be used in case of legal questions. D. Self-discipline: To encourage discipline, as a good case record is basically honest, sober, brief, and sticks to the point. It forces the physician to make an effort to be more diligent and careful than a busy day usually allows.The intention of the case or medical record is ethical: to be sure that you, as a physician, give the best possible treatment to your patient. It helps you to reflect deeply, communicate efficiently, provide evidence and safety, and back your self
Modern Western medical individualism has had a significant impact on health care in China. This essay demonstrates the ways in which such Western-style individualism has been explicitly endorsed in China's 2010 directive: The Basic Norms of the Documentation of the Medical Record. The Norms require that the patient himself, rather than a member of his family, sign each informed consent form. This change in clinical practice indicates a shift toward medical individualism in Chinese healthcare legislation. Such individualism, however, is incompatible with the character of Chinese familism that is deeply rooted in the Chinese ethical tradition. It also contradicts family-based patterns of health care in China. Moreover, the requirement for individual informed consent is incompatible with numerous medical regulations promulgated in the past two decades. This essay argues that while Chinese medical legislation should learn from relevant Western ideas, it should not simply copy such practices by importing medical individualism into Chinese health care. Chinese healthcare policy is properly based on Chinese medical familist resources. © The Author 2015. Published by Oxford University Press, on behalf of the Journal of Medicine and Philosophy Inc. All rights reserved. For permissions, please e-mail: email@example.com.
O. E. Karpov
Full Text Available The article is dedicated to the description of the experience of automation of the processes of statistical reporting on salaries in Federal State Budgetary Institution «NationalPirogovMedicalSurgicalCenter» of Ministry of Health of theRussian Federationwith the use of information systems.According to the current legislation of theRussian Federation, within the framework of the successful implementation of the «Road Map» on a national scale, statistical information about salaries of employees of social institutions is collected in various sections of data reporting. It became necessary to develop a tool to promptly collect, process and analyze data on salaries to provide statistical information to social institutions.The purpose of this article is to familiarize oneself with the concept of multidimensional data representation and to structure information on multidimensional analytical reports within the framework of practical application for solving economic problems related to the formation of statistical reporting on salaries. The algorithm and the procedure for the formation of multidimensional analytical reports are described, both from the methodological and from the practical point of view. As a material for this study, the normative and legal acts of the Russian Federation, statistical and analytical materials of the section «Salaries of certain categories of workers in the social sphere and science» of the Federal State Statistics Service of the Russian Federation, scientific publications and articles of the periodical press, as well as the results of their own research were used.To facilitate the perception, special attention is given to the description of the basic concepts of multidimensional analytical reporting: measure, performance variables, value. The authors not only gave a definition of multidimensional analytical reporting, but also demonstrated a visual representation of the multidimensional information space of
Full Text Available In recent decades, information technology in healthcare, such as Electronic Medical Record (EMR system, is potential to improve service quality and cost efficiency of the hospital. The continuous use of EMR systems has generated a great amount of data. However, hospitals tend to use these data to report their operational efficiency rather than to understand their patients. Base on a dataset of inpatients’ medical records from a Chinese general public hospital, this study applies a configuration analysis from a managerial perspective and explains inpatients management in a different way. Four inpatient configurations (valued patients, managed patients, normal patients, and potential patients are identified by the measure of the length of stay and the total hospital cost. The implications of the finding are discussed.
Zhang, Jianguo; Sun, Jianyong; Yang, Yuanyuan; Liang, Chenwen; Yao, Yihong; Cai, Weihua; Jin, Jin; Zhang, Guozhen; Sun, Kun
We developed a Web-based system to interactively display image-based electronic patient records (EPR) for secured intranet and Internet collaborative medical applications. The system consists of four major components: EPR DICOM gateway (EPR-GW), Image-based EPR repository server (EPR-Server), Web Server and EPR DICOM viewer (EPR-Viewer). In the EPR-GW and EPR-Viewer, the security modules of Digital Signature and Authentication are integrated to perform the security processing on the EPR data with integrity and authenticity. The privacy of EPR in data communication and exchanging is provided by SSL/TLS-based secure communication. This presentation gave a new approach to create and manage image-based EPR from actual patient records, and also presented a way to use Web technology and DICOM standard to build an open architecture for collaborative medical applications.
Epstein, Barbara A; Tannery, Nancy H; Wessel, Charles B; Yarger, Frances; LaDue, John; Fiorillo, Anthony B
What is the process of developing a clinical information tool to be embedded in the electronic health record of a very large and diverse academic medical center? The development took place at the University of Pittsburgh Health Sciences Library System. The clinical information tool developed is a search box with subject tabs to provide quick access to designated full-text information resources. Each subject tab offers a federated search of a different pool of resources. Search results are organized "on the fly" into meaningful categories using clustering technology and are directly accessible from the results page. After more than a year of discussion and planning, a clinical information tool was embedded in the academic medical center's electronic health record. The library successfully developed a clinical information tool, called Clinical-e, for use at the point of care. Future development will refine the tool and evaluate its impact and effectiveness.
Schildcrout, Jonathan S.; Basford, Melissa A.; Pulley, Jill M.; Masys, Daniel R.; Roden, Dan M.; Wang, Deede; Chute, Christopher G.; Kullo, Iftikhar J.; Carrell, David; Peissig, Peggy; Kho, Abel; Denny, Joshua C.
We describe a two-stage analytical approach for characterizing morbidity profile dissimilarity among patient cohorts using electronic medical records. We capture morbidities using the International Statistical Classification of Diseases and Related Health Problems (ICD-9) codes. In the first stage of the approach separate logistic regression analyses for ICD-9 sections (e.g., “hypertensive disease” or “appendicitis”) are conducted, and the odds ratios that describe adjusted differences in pre...
Postal, S N
Product-line administration is a viable approach for managing medical records services in an environment that demands high quantity and quality service levels. Product-line administration directs medical record department team members to look outside of the department and seek input from the customers it is intended to serve. The feedback received may be alarming at first, as the current state of products usually reveals a true lack of customer input. As the planning, defining, managing, and marketing phases are implemented, the road will not be easy and rewards will be slow to come. Product-line administration does not provide quick fixes, but it does provide long-term problem resolution as products are refined and new products developed to meet customer needs and expectations. In addition to better meeting the needs of the department's external customers, the department's internal customers' needs and expectations will be addressed. The participative management approach will help nurture each team member's creativity. The team members will have the opportunity to reach their full potential while reaping the rewards and benefits of providing products and services that meet the needs and expectations of all department customers. The future of the health care industry promises more changes as the country moves toward some form of prospective payment in the ambulatory setting. Reactive management and the constant struggle to catch up can no longer be accepted as a management approach. It is imperative that the medical record department be viewed as a business with product lines composed of quality products. The planning, defining, managing, and marketing components of product-line administration afford responsiveness to the current situation and the development of quality products that will ensure that medical record departments are prepared for the future.
Bouamrane, Matt-Mouley; Mair, Frances S
Primary care doctors in NHSScotland have been using electronic medical records within their practices routinely for many years. The Scottish Health Executive eHealth strategy (2008-2011) has recently brought radical changes to the primary care computing landscape in Scotland: an information system (GPASS) which was provided free-of-charge by NHSScotland to a majority of GP practices has now been replaced by systems provided by two approved commercial providers. The transition to new electronic medical records had to be completed nationally across all health-boards by March 2012. We carried out 25 in-depth semi-structured interviews with primary care doctors to elucidate GPs' perspectives on their practice information systems and collect more general information on management processes in the patient surgical pathway in NHSScotland. We undertook a thematic analysis of interviewees' responses, using Normalisation Process Theory as the underpinning conceptual framework. The majority of GPs' interviewed considered that electronic medical records are an integral and essential element of their work during the consultation, playing a key role in facilitating integrated and continuity of care for patients and making clinical information more accessible. However, GPs expressed a number of reservations about various system functionalities - for example: in relation to usability, system navigation and information visualisation. Our study highlights that while electronic information systems are perceived as having important benefits, there remains substantial scope to improve GPs' interaction and overall satisfaction with these systems. Iterative user-centred improvements combined with additional training in the use of technology would promote an increased understanding, familiarity and command of the range of functionalities of electronic medical records among primary care doctors.
Carroll, Tracy; Tonges, Mary; Ray, Joel
This article describes 1 organization's successful approach to mitigating the potential negative effects of a new electronic medical record on patient experience. The Carolina Care model, developed at the University of North Carolina Hospitals to actualize caring theory in practice, helped to structure and greatly facilitate this work. Seven focus areas were integrated to create the "Communication in an Electronic Environment" program with a strong emphasis on nurse-patient communication.
Laerum, Hallvard; Karlsen, Tom H; Faxvaag, Arild
It is not automatically given that the paper-based medical record can be eliminated after the introduction of an electronic medical record (EMR) in a hospital. Many keep and update the paper-based counterpart, and this limits the use of the EMR system. The authors have evaluated the physicians' clinical work practices and attitudes toward a system in a hospital that has eliminated the paper-based counterpart using scanning technology. Combined open-ended interviews (8 physicians) and cross-sectional survey (70 physicians) were conducted and compared with reference data from a previous national survey (69 physicians from six hospitals). The hospitals in the reference group were using the same EMR system without the scanning module. The questionnaire (English translation available as an online data supplement at ) covered frequency of use of the EMR system for 19 defined tasks, ease of performing them, and user satisfaction. The interviews were open-ended. The physicians routinely used the system for nine of 11 tasks regarding retrieval of patient data, which the majority of the physicians found more easily performed than before. However, 22% to 25% of the physicians found retrieval of patient data more difficult, particularly among internists (33%). Overall, the physicians were equally satisfied with the part of the system handling the regular electronic data as that of the physicians in the reference group. They were, however, much less satisfied with the use of scanned document images than that of regular electronic data, using the former less frequently than the latter. Scanning and elimination of the paper-based medical record is feasible, but the scanned document images should be considered an intermediate stage toward fully electronic medical records. To our knowledge, this is the first assessment from a hospital in the process of completing such a scanning project.
Boundary work refers to the strategies deployed by professionals in the arenas of the public, the law and the workplace to define and defend jurisdictional authority. Little attention has been directed to the role of documents in negotiating professional claims. While boundary work over induced abortion has been extensively documented, few studies have examined jurisdictional disputes over the treatment of abortion complications, or post-abortion care (PAC). This study explores how medical providers deploy medical records in boundary work over the treatment of complications of spontaneous and induced abortion in Senegal, where induced abortion is prohibited under any circumstance. Findings are based on an institutional ethnography of Senegal’s national PAC program over a period of 13 months between 2010 and 2011. Data collection methods included in-depth interviews with 36 health care professionals, observation of PAC services at three hospitals, a review of abortion records at each hospital, and a case review of illegal abortions prosecuted by the state. Findings show that health providers produce a particular account of the type of abortion treated through a series of practices such as the patient interview and the clinical exam. Providers obscure induced abortion in medical documents in three ways: the use of terminology that does not differentiate between induced and spontaneous abortion in PAC registers, the omission of data on the type of abortion altogether in PAC registers, and reporting the total number but not the type of abortions treated in hospital data transmitted to state health authorities. The obscuration of suspected induced abortion in the record permits providers to circumvent police inquiry at the hospital. PAC has been implemented in nearly 50 countries worldwide. This study demonstrates the need for additional research on how medical professionals negotiate conflicting medical and legal obligations in the daily practice of treating abortion
Isfahani, Sakineh Saghaeiannejad; Bahrami, Soosan; Torki, Sedighe
Human resources are key factors in service organizations like hospitals. Therefore, motivating human recourses to achieve the objectives of an organization is important. Job enrichment is a strategy used to increase job motivation in staffs. The goal of the current study is to determine the relationship between job characteristics and intrinsic motivation in medical record staff in hospitals related to Medical Science University in Isfahan in 2011-2012 academic year. The type of the study is descriptive and corelational of multi variables. The population of the study includes all the medical record staffs of medical record department working in Medical Science hospitals of Isfahan. One hundred twentyseven subjects were selected by conducting a census. In the present study, data collected by using two questionnaires of job characteristics devised by Hackman and Oldeham, and of intrinsic motivation. Content validity was confirmed by experts and its reliability was calculated through coefficient of Cronbach's alpha (r1 = 0.84- r2 = 0.94). The questionnaires completed were entered into SPSS(18) software; furthermore, statistical analysis done descriptively (frequency percent, mean, standard deviation, Pierson correlation coefficient,...) and inferentially (multiple regression, MANOVA, LSD). A significant relationship between job characteristics as well as its elements (skill variety, task identity, task significance, autonomy and feedback) and intrinsic motivation was noticed. (p intrinsic motivation was significant and job feedback had the most impact upon the intrinsic motivation. No significant difference was noticed among the mean amounts of job characteristic perception according to age, gender, level of education, and the kind of educational degree in hospitals. However, there was a significant difference among the mean amounts of job characteristic perception according to the unit of service and the years of servicein hospitals. The findings show that all job
Full Text Available According to the Ministry of Labor, Health and Social Affairs of Georgia a new health management system has to be introduced in the nearest future. In this context arises the problem of structuring and classifying documents containing all the history of medical services provided. The present work introduces the instrument for classification of medical records based on the Georgian language. It is the first attempt of such classification of the Georgian language based medical records. On the whole 24.855 examination records have been studied. The documents were classified into three main groups (ultrasonography, endoscopy, and X-ray and 13 subgroups using two well-known methods: Support Vector Machine (SVM and K-Nearest Neighbor (KNN. The results obtained demonstrated that both machine learning methods performed successfully, with a little supremacy of SVM. In the process of classification a “shrink” method, based on features selection, was introduced and applied. At the first stage of classification the results of the “shrink” case were better; however, on the second stage of classification into subclasses 23% of all documents could not be linked to only one definite individual subclass (liver or binary system due to common features characterizing these subclasses. The overall results of the study were successful.
Steven C Bagley
Full Text Available Patterns of disease co-occurrence that deviate from statistical independence may represent important constraints on biological mechanism, which sometimes can be explained by shared genetics. In this work we study the relationship between disease co-occurrence and commonly shared genetic architecture of disease. Records of pairs of diseases were combined from two different electronic medical systems (Columbia, Stanford, and compared to a large database of published disease-associated genetic variants (VARIMED; data on 35 disorders were available across all three sources, which include medical records for over 1.2 million patients and variants from over 17,000 publications. Based on the sources in which they appeared, disease pairs were categorized as having predominant clinical, genetic, or both kinds of manifestations. Confounding effects of age on disease incidence were controlled for by only comparing diseases when they fall in the same cluster of similarly shaped incidence patterns. We find that disease pairs that are overrepresented in both electronic medical record systems and in VARIMED come from two main disease classes, autoimmune and neuropsychiatric. We furthermore identify specific genes that are shared within these disease groups.
Gorman, C; Looker, J; Fisk, T; Oelke, W; Erickson, D; Smith, S; Zimmerman, B
We have analysed the deficiencies of paper medical records in facilitating the care of patients with diabetes and have developed an electronic medical record that corrects some of them. The diabetes electronic medical record (DEMR) is designed to facilitate the work of a busy diabetes clinic. Design principles include heavy reliance on graphic displays of laboratory and clinical data, consistent color coding and aggregation of data needed to facilitate the different types of clinical encounter (initial consultation, continuing care visit, insulin adjustment visit, dietitian encounter, nurse educator encounter, obstetric patient, transplant patient, visits for problems unrelated to diabetes). Data input is by autoflow from the institutional laboratories, by desk attendants or on-line by all users. Careful attention has been paid to making data entry a point and click process wherever possible. Opportunity for free text comment is provided on every screen. On completion of the encounter a narrative text summary of the visit is generated by the computer and is annotated by the care giver. Currently there are about 7800 patients in the system. Remaining challenges include the adaptation of the system to accommodate the occasional user, development of portable laptop derivatives that remain compatible with the parent system and improvements in the screen structure and graphic display formats.
... 29 Labor 7 2010-07-01 2010-07-01 false Rules of agency practice and procedure concerning OSHA... PRACTICE AND PROCEDURE CONCERNING OSHA ACCESS TO EMPLOYEE MEDICAL RECORDS § 1913.10 Rules of agency practice and procedure concerning OSHA access to employee medical records. (a) General policy. OSHA access...
Hara, Takeshi; Matoba, Naoto; Zhou, Xiangrong; Yokoi, Shinya; Aizawa, Hiroaki; Fujita, Hiroshi; Sakashita, Keiji; Matsuoka, Tetsuya
We have been developing the CAD scheme for head and abdominal injuries for emergency medical care. In this work, we have developed an automated method to detect typical head injuries, rupture or strokes of brain. Extradural and subdural hematoma region were detected by comparing technique after the brain areas were registered using warping. We employ 5 normal and 15 stroke cases to estimate the performance after creating the brain model with 50 normal cases. Some of the hematoma regions were detected correctly in all of the stroke cases with no false positive findings on normal cases.
Taylor, Anna; Stapley, Sally; Hamilton, William
Jaundice is a rare but important symptom of malignant and benign conditions. When patients present in primary care, understanding the relative likelihood of different disease processes can help GPs to investigate and refer patients appropriately. To identify and quantify the various causes of jaundice in adults presenting in primary care. Historical cohort study using electronic primary care records. UK General Practice Research Database. Participants (186 814 men and women) aged >45 years with clinical events recorded in primary care records between 1 January 2005 and 31 December 2007. Data were searched for episodes of jaundice and explanatory diagnoses identified within the subsequent 12 months. If no diagnosis was found, the patient's preceding medical record was searched for relevant chronic diseases. From the full cohort, 277 patients had at least one record of jaundice between 1 January 2005 and 31 December 2006. Ninety-two (33%) were found to have bile duct stones; 74 (27%) had an explanatory cancer [pancreatic cancer 34 (12%), cholangiocarcinoma 13 (5%) and other diagnosed primary malignancy 27 (10%)]. Liver disease attributed to excess alcohol explained 26 (9%) and other diagnoses were identified in 24 (9%). Sixty-one (22%) had no diagnosis related to jaundice recorded. Although the most common cause of jaundice is bile duct stones, cancers are present in over a quarter of patients with jaundice in this study, demonstrating the importance of urgent investigation into the underlying cause.
Bepko, Robert J; Moore, John R; Coleman, John R
This article reports an intervention to improve the quality and safety of hospital patient care by introducing the use of pharmacy robotics into the medication distribution process. Medication safety is vitally important. The integration of pharmacy robotics with computerized practitioner order entry and bedside medication bar coding produces a significant reduction in medication errors. The creation of a safe medication-from initial ordering to bedside administration-provides enormous benefits to patients, to health care providers, and to the organization as well.
Nakagawa, Yoshiaki; Tomita, Naoko; Irisa, Kaoru; Yoshihara, Hiroyuki; Nakagawa, Yoshinobu
Introduction of Electronic Medical Record (EMR) into a hospital was started from 1999 in Japan. Then, most of all EMR company said that EMR improved efficacy of the management of the hospital. National Hospital Organization (NHO) has been promoting the project and introduced EMR since 2004. NHO has 143 hospitals, 51 hospitals offer acute-phase medical care services, the other 92 hospitals offer medical services mainly for chronic patients. We conducted three kinds of investigations, questionnaire survey, checking the homepage information of the hospitals and analyzing the financial statements of each NHO hospital. In this financial analysis, we applied new indicators which have been developed based on personnel costs. In 2011, there are 44 hospitals which have introduced EMR. In our result, the hospital with EMR performed more investment of equipment/capital than personnel expenses. So, there is no advantage of EMR on the financial efficacy.
Robins, Jason A; McInnes, Matthew D F; Esmail, Kaisra
Resident selection committees must rely on information provided by medical schools in order to evaluate candidates. However, this information varies between institutions, limiting its value in comparing individuals and fairly assessing their quality. This study investigates what is included in candidates' documentation, the heterogeneity therein, as well as its objective data. Samples of recent transcripts and Medical Student Performance Records were anonymised prior to evaluation. Data were then extracted by two independent reviewers blinded to the submitting university, assessing for the presence of pre-selected criteria; disagreement was resolved through consensus. The data were subsequently analysed in multiple subgroups. Inter-rater agreement equalled 92%. Inclusion of important criteria varied by school, ranging from 22.2% inclusion to 70.4%; the mean equalled 47.4%. The frequency of specific criteria was highly variable as well. Only 17.7% of schools provided any basis for comparison of academic performance; the majority detailed only status regarding pass or fail, without any further qualification. Considerable heterogeneity exists in the information provided in official medical school documentation, as well as markedly little objective data. Standardization may be necessary in order to facilitate fair comparison of graduates from different institutions. Implementation of objective data may allow more effective intra- and inter-scholastic comparison.
Jason A. Robins
Full Text Available Background: Resident selection committees must rely on information provided by medical schools in order to evaluate candidates. However, this information varies between institutions, limiting its value in comparing individuals and fairly assessing their quality. This study investigates what is included in candidates’ documentation, the heterogeneity therein, as well as its objective data. Methods: Samples of recent transcripts and Medical Student Performance Records were anonymised prior to evaluation. Data were then extracted by two independent reviewers blinded to the submitting university, assessing for the presence of pre-selected criteria; disagreement was resolved through consensus. The data were subsequently analysed in multiple subgroups. Results: Inter-rater agreement equalled 92%. Inclusion of important criteria varied by school, ranging from 22.2% inclusion to 70.4%; the mean equalled 47.4%. The frequency of specific criteria was highly variable as well. Only 17.7% of schools provided any basis for comparison of academic performance; the majority detailed only status regarding pass or fail, without any further qualification. Conclusions: Considerable heterogeneity exists in the information provided in official medical school documentation, as well as markedly little objective data. Standardization may be necessary in order to facilitate fair comparison of graduates from different institutions. Implementation of objective data may allow more effective intra- and inter-scholastic comparison.
Spaulding, Trent Joseph
The objective of this research is to understand how a set of systems, as defined by the business process, creates value. The three studies contained in this work develop the model of process-based automation. The model states that complementarities among systems are specified by handoffs in the business process. The model also provides theory to…
Full Text Available Abstract Background The reprocessing of medical endoscopes is carried out using automatic cleaning and disinfection machines. The documentation and archiving of records of properly conducted reprocessing procedures is the last and increasingly important part of the reprocessing cycle for flexible endoscopes. Methods This report describes a new computer program designed to monitor and document the automatic reprocessing of flexible endoscopes and accessories in fully automatic washer-disinfectors; it does not contain nor compensate the manual cleaning step. The program implements national standards for the monitoring of hygiene in flexible endoscopes and the guidelines for the reprocessing of medical products. No FDA approval has been obtained up to now. The advantages of this newly developed computer program are firstly that it simplifies the documentation procedures of medical endoscopes and that it could be used universally with any washer-disinfector and that it is independent of the various interfaces and software products provided by the individual suppliers of washer-disinfectors. Results The computer program presented here has been tested on a total of four washer-disinfectors in more than 6000 medical examinations within 9 months. Conclusions We present for the first time an electronic documentation system for automated washer-disinfectors for medical devices e.g. flexible endoscopes which can be used on any washer-disinfectors that documents the procedures involved in the automatic cleaning process and can be easily connected to most hospital documentation systems.
Pisa, Federica Edith; Palese, Francesca; Romanese, Federico; Barbone, Fabio; Logroscino, Giancarlo; Riedel, Oliver
Reliable information on preadmission medications is essential for inpatients with dementia, but its quality has hardly been evaluated. We assessed the completeness of information and factors associated with incomplete recording. We compared preadmission medications recorded in hospital electronic medical records (EMRs) with community-pharmacy dispensations in hospitalizations with discharge code for dementia at the University Hospital of Udine, Italy, 2012-2014. We calculated: (a) prevalence of omissions (dispensed medication not recorded in EMRs), additions (medication recorded in EMRs not dispensed), and discrepancies (any omission or addition); (b) multivariable logistic regression odds ratio, with 95% confidence interval (95% CI), of ≥1 omission. Among 2,777 hospitalizations, 86.1% had ≥1 discrepancy for any medication (Kappa 0.10) and 33.4% for psychotropics. When psychotropics were recorded in EMR, antipsychotics were added in 71.9% (antidepressants: 29.2%, antidementia agents: 48.2%); when dispensed, antipsychotics were omitted in 54.4% (antidepressants: 52.7%, antidementia agents: 41.5%). Omissions were 92% and twice more likely in patients taking 5 to 9 and ≥10 medications (vs. 0 to 4), 17% in patients with psychiatric disturbances (vs. none), and 41% with emergency admission (vs. planned). Psychotropics, commonly used in dementia, were often incompletely recorded. To enhance information completeness, both EMRs and dispensations should be used. Copyright © 2018 John Wiley & Sons, Ltd.
Winkelman, Warren J.; Leonard, Kevin J.
There are constraints embedded in medical record structure that limit use by patients in self-directed disease management. Through systematic review of the literature from a critical perspective, four characteristics that either enhance or mitigate the influence of medical record structure on patient utilization of an electronic patient record (EPR) system have been identified: environmental pressures, physician centeredness, collaborative organizational culture, and patient centeredness. An ...
Moon, Kyoung-Ja; Jin, Yinji; Jin, Taixian; Lee, Sun-Mi
A key component of the delirium management is prevention and early detection. To develop an automated delirium risk assessment system (Auto-DelRAS) that automatically alerts health care providers of an intensive care unit (ICU) patient's delirium risk based only on data collected in an electronic health record (EHR) system, and to evaluate the clinical validity of this system. Cohort and system development designs were used. Medical and surgical ICUs in two university hospitals in Seoul, Korea. A total of 3284 patients for the development of Auto-DelRAS, 325 for external validation, 694 for validation after clinical applications. The 4211 data items were extracted from the EHR system and delirium was measured using CAM-ICU (Confusion Assessment Method for Intensive Care Unit). The potential predictors were selected and a logistic regression model was established to create a delirium risk scoring algorithm to construct the Auto-DelRAS. The Auto-DelRAS was evaluated at three months and one year after its application to clinical practice to establish the predictive validity of the system. Eleven predictors were finally included in the logistic regression model. The results of the Auto-DelRAS risk assessment were shown as high/moderate/low risk on a Kardex screen. The predictive validity, analyzed after the clinical application of Auto-DelRAS after one year, showed a sensitivity of 0.88, specificity of 0.72, positive predictive value of 0.53, negative predictive value of 0.94, and a Youden index of 0.59. A relatively high level of predictive validity was maintained with the Auto-DelRAS system, even one year after it was applied to clinical practice. Copyright © 2017. Published by Elsevier Ltd.
Full Text Available We aimed to mine the data in the Electronic Medical Record to automatically discover patients' Rheumatoid Arthritis disease activity at discrete rheumatology clinic visits. We cast the problem as a document classification task where the feature space includes concepts from the clinical narrative and lab values as stored in the Electronic Medical Record.The Training Set consisted of 2792 clinical notes and associated lab values. Test Set 1 included 1749 clinical notes and associated lab values. Test Set 2 included 344 clinical notes for which there were no associated lab values. The Apache clinical Text Analysis and Knowledge Extraction System was used to analyze the text and transform it into informative features to be combined with relevant lab values.Experiments over a range of machine learning algorithms and features were conducted. The best performing combination was linear kernel Support Vector Machines with Unified Medical Language System Concept Unique Identifier features with feature selection and lab values. The Area Under the Receiver Operating Characteristic Curve (AUC is 0.831 (σ = 0.0317, statistically significant as compared to two baselines (AUC = 0.758, σ = 0.0291. Algorithms demonstrated superior performance on cases clinically defined as extreme categories of disease activity (Remission and High compared to those defined as intermediate categories (Moderate and Low and included laboratory data on inflammatory markers.Automatic Rheumatoid Arthritis disease activity discovery from Electronic Medical Record data is a learnable task approximating human performance. As a result, this approach might have several research applications, such as the identification of patients for genome-wide pharmacogenetic studies that require large sample sizes with precise definitions of disease activity and response to therapies.
... AGENCY: Privacy Office, DHS. ACTION: Notice of Privacy Act system of records. SUMMARY: In accordance with... Security Office of Health Affairs to collect and maintain records on individuals who receive emergency care... consistent, quality medical care. To support MQM, OHA operates the electronic Patient Care Record (ePCR), an...
Full Text Available Jacky WY Lee,1,2 Lin Fu,1 Jennifer WH Shum,1 Jonathan CH Chan,3 Jimmy SM Lai1 1Department of Ophthalmology, The University of Hong Kong, Hong Kong; 2Department of Ophthalmology, Caritas Medical Centre, Hong Kong; 3Department of Ophthalmology, Queen Mary Hospital, Hong Kong Purpose: To analyze the 24-hour ocular dimensional profile in normal-tension glaucoma (NTG patients on medical treatment.Methods: Consecutive, medically treated NTG subjects were recruited from a university eye center. Subjects were on a mean of 1.7±0.7 types of antiglaucoma medications and 56.6% were on a prostaglandin analog. A contact lens-based sensor device was worn in one eye of NTG patients to record the intraocular pressure (IOP-related profile for 24 hours, recording the following: variability from mean over 24 hours, nocturnally and diurnally, as well as the number of peaks and troughs diurnally and nocturnally.Results: In 18 NTG subjects, the nocturnal variability around the mean contact lens-based sensor device signal was 48.9% less than the diurnal variability around the mean. The number of peaks was 54.7% less during the nocturnal period than during the diurnal period. The rate of increase in the ocular dimensional profile when going to sleep was significantly greater than the rate of decrease upon waking (P<0.001.Conclusion: In medically treated NTG subjects, there was more variability in the IOP-related pattern during the daytime and there were fewer peaks during sleep. Keywords: intraocular pressure, 24-hour, normal tension glaucoma
Christopher K Fairley
Full Text Available OBJECTIVE: Despite substantial investment in Electronic Medical Record (EMR systems there has been little research to evaluate them. Our aim was to evaluate changes in efficiency and quality of services after the introduction of a purpose built EMR system, and to assess its acceptability by the doctors, nurses and patients using it. METHODS: We compared a nine month period before and after the introduction of an EMR system in a large sexual health service, audited a sample of records in both periods and undertook anonymous surveys of both staff and patients. RESULTS: There were 9,752 doctor consultations (in 5,512 consulting hours in the Paper Medical Record (PMR period and 9,145 doctor consultations (in 5,176 consulting hours in the EMR period eligible for inclusion in the analysis. There were 5% more consultations per hour seen by doctors in the EMR period compared to the PMR period (rate ratio = 1.05; 95% confidence interval, 1.02, 1.08 after adjusting for type of consultation. The qualitative evaluation of 300 records for each period showed no difference in quality (P>0.17. A survey of clinicians demonstrated that doctors and nurses preferred the EMR system (P<0.01 and a patient survey in each period showed no difference in satisfaction of their care (97% for PMR, 95% for EMR, P = 0.61. CONCLUSION: The introduction of an integrated EMR improved efficiency while maintaining the quality of the patient record. The EMR was popular with staff and was not associated with a decline in patient satisfaction in the clinical care provided.
Lamy, Jean-Baptiste; Duclos, Catherine; Hamek, Saliha; Beuscart-Zéphir, Marie-Catherine; Kerdelhué, Gaetan; Darmoni, Stefan; Favre, Madeleine; Falcoff, Hector; Simon, Christian; Pereira, Suzanne; Serrot, Elisabeth; Mitouard, Thierry; Hardouin, Etienne; Kergosien, Yannick; Venot, Alain
Practicing physicians have limited time for consulting medical knowledge and records. We have previously shown that using icons instead of text to present drug monographs may allow contraindications and adverse effects to be identified more rapidly and more accurately. These findings were based on the use of an iconic language designed for drug knowledge, providing icons for many medical concepts, including diseases, antecedents, drug classes and tests. In this paper, we describe a new project aimed at extending this iconic language, and exploring the possible applications of these icons in medicine. Based on evaluators' comments, focus groups of physicians and opinions of academic, industrial and associative partners, we propose iconic applications related to patient records, for example summarizing patient conditions, searching for specific clinical documents and helping to code structured data. Other applications involve the presentation of clinical practice guidelines and improving the interface of medical search engines. These new applications could use the same iconic language that was designed for drug knowledge, with a few additional items that respect the logic of the language.
Anholt, R M; Berezowski, J; Jamal, I; Ribble, C; Stephen, C
Large amounts of animal health care data are present in veterinary electronic medical records (EMR) and they present an opportunity for companion animal disease surveillance. Veterinary patient records are largely in free-text without clinical coding or fixed vocabulary. Text-mining, a computer and information technology application, is needed to identify cases of interest and to add structure to the otherwise unstructured data. In this study EMR's were extracted from veterinary management programs of 12 participating veterinary practices and stored in a data warehouse. Using commercially available text-mining software (WordStat™), we developed a categorization dictionary that could be used to automatically classify and extract enteric syndrome cases from the warehoused electronic medical records. The diagnostic accuracy of the text-miner for retrieving cases of enteric syndrome was measured against human reviewers who independently categorized a random sample of 2500 cases as enteric syndrome positive or negative. Compared to the reviewers, the text-miner retrieved cases with enteric signs with a sensitivity of 87.6% (95%CI, 80.4-92.9%) and a specificity of 99.3% (95%CI, 98.9-99.6%). Automatic and accurate detection of enteric syndrome cases provides an opportunity for community surveillance of enteric pathogens in companion animals. Copyright © 2014 Elsevier B.V. All rights reserved.
Pecina, Jennifer L; North, Frederick
Introduction Under certain circumstances, e-consultations can substitute for a face-to-face consultation. A basic requirement for a successful e-consultation is that the e-consultant has access to important medical history and exam findings along with laboratory and imaging results. Knowing just what information the specialist needs to complete an e-consultation is a major challenge. This paper examines differences between specialties in their need for past information from laboratory, imaging and clinical notes. Methods This is a retrospective study of patients who had an internal e-consultation performed at an academic medical centre. We reviewed a random sample of e-consultations that occurred in the first half of 2013 for the indication for the e-consultation and whether the e-consultant reviewed data in the medical record that was older than one year to perform the e-consultation. Results Out of 3008 total e-consultations we reviewed 360 (12%) randomly selected e-consultations from 12 specialties. Questions on management (35.8%), image results (27.2%) and laboratory results (25%) were the three most common indications for e-consultation. E-consultants reviewed medical records in existence more than one year prior to the e-consultation 146 (40.6%) of the time with e-consultants in the specialties of endocrinology, haematology and rheumatology, reviewing records older than one year more than half the time. Labs (20.3%), office notes (20%) and imaging (17.8%) were the types of medical data older than one year that were reviewed the most frequently overall. Discussion Management questions appear to be the most common reason for e-consultation. E-consultants frequently reviewed historical medical data that is older than one year at the time of the e-consultation, especially in endocrinology, haematology and rheumatology specialties. Practices engaging in e-consultations that require transfer of data may want to include longer time frames of historical information
Whittlesea, C. (2013). The impact of automation on workload and dispensing errors in a hospital pharmacy . International Journal of Pharmacy Practice , 21...Welsh NHS hospitals. International Journal of Pharmacy Practice , 16, 175–188. Lin, A. C., Huang, Y.-C., Punches, G., & Chen, Y. (2007). Effect of a...expectations of outpatient pharmacy services in a teaching hospital. International Journal of Pharmacy Medicine , 5(3), 128–132. 79 INITIAL
John Paxton Kirkpatrick
Full Text Available Purpose/Objective: While our department is heavily invested in computer-based treatment planning, we historically relied on paper-based charts for management of Radiation Oncology patients. In early 2009, we initiated the process of conversion to an electronic medical record (EMR eliminating the need for paper charts. Key goals included the ability to readily access information wherever and whenever needed, without compromising safety, treatment quality, confidentiality or productivity.Methodology: In February, 2009, we formed a multi-disciplinary team of Radiation Oncology physicians, nurses, therapists, administrators, physicists/dosimetrists, and information technology (IT specialists, along with staff from the Duke Health System IT department. The team identified all existing processes and associated information/reports, established the framework for the EMR system and generated, tested and implemented specific EMR processes.Results: Two broad classes of information were identified: information which must be readily accessed by anyone in the health system versus that used solely within the Radiation Oncology department. Examples of the former are consultation reports, weekly treatment check notes and treatment summaries; the latter includes treatment plans, daily therapy records and quality assurance reports. To manage the former, we utilized the enterprise-wide system , which required an intensive effort to design and implement procedures to export information from Radiation Oncology into that system. To manage "Radiation Oncology" data, we used our existing system (ARIA, Varian Medical Systems. The ability to access both systems simultaneously from a single workstation (WS was essential, requiring new WS and modified software. As of January, 2010, all new treatments were managed solely with an EMR. We find that an EMR makes information more widely accessible and does not compromise patient safety, treatment quality or confidentiality
Gillum, Richard F
A major transition is underway in documentation of patient-related data in clinical settings with rapidly accelerating adoption of the electronic health record and electronic medical record. This article examines the history of the development of medical records in the West in order to suggest lessons applicable to the current transition. The first documented major transition in the evolution of the clinical medical record occurred in antiquity, with the development of written case history reports for didactic purposes. Benefiting from Classical and Hellenistic models earlier than physicians in the West, medieval Islamic physicians continued the development of case histories for didactic use. A forerunner of modern medical records first appeared in Paris and Berlin by the early 19th century. Development of the clinical record in America was pioneered in the 19th century in major teaching hospitals. However, a clinical medical record useful for direct patient care in hospital and ambulatory settings was not developed until the 20th century. Several lessons are drawn from the 4000-year history of the medical record that may help physicians improve patient care in the digital age. Copyright © 2013 Elsevier Inc. All rights reserved.
Kasthurirathne, Suranga N; Dixon, Brian E; Gichoya, Judy; Xu, Huiping; Xia, Yuni; Mamlin, Burke; Grannis, Shaun J
Existing approaches to derive decision models from plaintext clinical data frequently depend on medical dictionaries as the sources of potential features. Prior research suggests that decision models developed using non-dictionary based feature sourcing approaches and "off the shelf" tools could predict cancer with performance metrics between 80% and 90%. We sought to compare non-dictionary based models to models built using features derived from medical dictionaries. We evaluated the detection of cancer cases from free text pathology reports using decision models built with combinations of dictionary or non-dictionary based feature sourcing approaches, 4 feature subset sizes, and 5 classification algorithms. Each decision model was evaluated using the following performance metrics: sensitivity, specificity, accuracy, positive predictive value, and area under the receiver operating characteristics (ROC) curve. Decision models parameterized using dictionary and non-dictionary feature sourcing approaches produced performance metrics between 70 and 90%. The source of features and feature subset size had no impact on the performance of a decision model. Our study suggests there is little value in leveraging medical dictionaries for extracting features for decision model building. Decision models built using features extracted from the plaintext reports themselves achieve comparable results to those built using medical dictionaries. Overall, this suggests that existing "off the shelf" approaches can be leveraged to perform accurate cancer detection using less complex Named Entity Recognition (NER) based feature extraction, automated feature selection and modeling approaches. Copyright © 2017 Elsevier Inc. All rights reserved.
Pageler, Natalie M; Longhurst, Christopher A; Wood, Matthew; Cornfield, David N; Suermondt, Jaap; Sharek, Paul J; Franzon, Deborah
We hypothesized that a checklist enhanced by the electronic medical record and a unit-wide dashboard would improve compliance with an evidence-based, pediatric-specific catheter care bundle and decrease central line-associated bloodstream infections (CLABSI). We performed a cohort study with historical controls that included all patients with a central venous catheter in a 24-bed PICU in an academic children's hospital. Postintervention CLABSI rates, compliance with bundle elements, and staff perceptions of communication were evaluated and compared with preintervention data. CLABSI rates decreased from 2.6 CLABSIs per 1000 line-days before intervention to 0.7 CLABSIs per 1000 line-days after intervention. Analysis of specific bundle elements demonstrated increased daily documentation of line necessity from 30% to 73% (P < .001), increased compliance with dressing changes from 87% to 90% (P = .003), increased compliance with cap changes from 87% to 93% (P < .001), increased compliance with port needle changes from 69% to 95% (P < .001), but decreased compliance with insertion bundle documentation from 67% to 62% (P = .001). Changes in the care plan were made during review of the electronic medical record checklist on 39% of patient rounds episodes. Use of an electronic medical record-enhanced CLABSI prevention checklist coupled with a unit-wide real-time display of adherence was associated with increased compliance with evidence-based catheter care and sustained decrease in CLABSI rates. These data underscore the potential for computerized interventions to promote compliance with proven best practices and prevent patient harm.
Savica, R; Carlin, J M; Grossardt, B R; Bower, J H; Ahlskog, J E; Maraganore, D M; Bharucha, A E; Rocca, W A
Parkinson disease (PD) may affect the autonomic nervous system and may cause constipation; however, few studies have explored constipation preceding the motor onset of PD. We investigated constipation preceding PD using a case-control study design in a population-based sample. Using the medical records-linkage system of the Rochester Epidemiology Project, we identified 196 subjects who developed PD in Olmsted County, MN, from 1976 through 1995. Each incident case was matched by age (+/-1 year) and sex to a general population control. We reviewed the complete medical records of cases and controls in the medical records-linkage system to ascertain the occurrence of constipation preceding the onset of PD (or index year). Constipation preceding PD or the index year was more common in cases than in controls (odds ratio [OR] 2.48; 95% confidence interval [CI] 1.49 to 4.11; p = 0.0005). This association remained significant after adjusting for smoking and coffee consumption (ever vs never), and after excluding constipation possibly induced by drugs. In addition, the association remained significant in analyses restricted to constipation documented 20 or more years before the onset of motor symptoms of PD. Although the association was stronger in women than in men and in patients with PD with rest tremor compared with patients with PD without rest tremor, these differences were not significant. Our findings suggest that constipation occurring as early as 20 or more years before the onset of motor symptoms is associated with an increased risk of Parkinson disease.
Kasthurirathne, Suranga N; Mamlin, Burke; Grieve, Grahame; Biondich, Paul
Interoperability is essential to address limitations caused by the ad hoc implementation of clinical information systems and the distributed nature of modern medical care. The HL7 V2 and V3 standards have played a significant role in ensuring interoperability for healthcare. FHIR is a next generation standard created to address fundamental limitations in HL7 V2 and V3. FHIR is particularly relevant to OpenMRS, an Open Source Medical Record System widely used across emerging economies. FHIR has the potential to allow OpenMRS to move away from a bespoke, application specific API to a standards based API. We describe efforts to design and implement a FHIR based API for the OpenMRS platform. Lessons learned from this effort were used to define long term plans to transition from the legacy OpenMRS API to a FHIR based API that greatly reduces the learning curve for developers and helps enhance adhernce to standards.
Rhodes, Penny; Small, Neil; Rowley, Emma; Langdon, Mark; Ariss, Steven; Wright, John
Two routine consultations in primary care diabetes clinics are compared using extracts from video recordings of interactions between nurses and patients. The consultations were chosen to present different styles of interaction, in which the nurse's gaze was either primarily toward the computer screen or directed more toward the patient. Using conversation analysis, the ways in which nurses shift both gaze and body orientation between the computer screen and patient to influence the style, pace, content, and structure of the consultation were investigated. By examining the effects of different levels of engagement between the electronic medical record and the embodied patient in the consultation room, we argue for the need to consider the contingent nature of the interface of technology and the person in the consultation. Policy initiatives designed to deliver what is considered best-evidenced practice are modified in the micro context of the interactions of the consultation.
Masseroli, Marco; Pinciroli, Francesco
To provide easy retrieval, integration and evaluation of multimodal cardiology images and data in a web browser environment, distributed application technologies and java programming were used to implement a client-server architecture based on software agents. The server side manages secure connections and queries to heterogeneous remote databases and file systems containing patient personal and clinical data. The client side is a Java applet running in a web browser and providing a friendly medical user interface to perform queries on patient and medical test dat and integrate and visualize properly the various query results. A set of tools based on Java Advanced Imaging API enables to process and analyze the retrieved cardiology images, and quantify their features in different regions of interest. The platform-independence Java technology makes the developed prototype easy to be managed in a centralized form and provided in each site where an intranet or internet connection can be located. Giving the healthcare providers effective tools for querying, visualizing and evaluating comprehensively cardiology medical images and records in all locations where they can need them- i.e. emergency, operating theaters, ward, or even outpatient clinics- the developed prototype represents an important aid in providing more efficient diagnoses and medical treatments.
Guo, J.; Iribarren, S.; Kapsandoy, S.; Perri, S.; Staggers, N.
Background Electronic medication administration records (eMARs) have been widely used in recent years. However, formal usability evaluations are not yet available for these vendor applications, especially from the perspective of nurses, the largest group of eMAR users. Objective To conduct a formal usability evaluation of an implemented eMAR. Methods Four evaluators examined a commercial vendor eMAR using heuristic evaluation techniques. The evaluators defined seven tasks typical of eMAR use and independently evaluated the application. Consensus techniques were used to obtain 100% agreement of identified usability problems and severity ratings. Findings were reviewed with 5 clinical staff nurses and the Director of Clinical Informatics who verified findings with a small group of clinical nurses. Results Evaluators found 60 usability problems categorized into 233 heuristic violations. Match, Error, and Visibility heuristics were the most frequently violated. Administer Medication and Order and Modify Medications tasks had the highest number of heuristic violations and usability problems rated as major or catastrophic. Conclusion The high number of usability problems could impact the effectiveness, efficiency and satisfaction of nurses’ medication administration activities and may include concerns about patient safety. Usability is a joint responsibility between sites and vendors. We offer a call to action for usability evaluations at all sites and eMAR application redesign as necessary to improve the user experience and promote patient safety. PMID:23616871
Rudolph, James L; Doherty, Kelly; Kelly, Brittany; Driver, Jane A; Archambault, Elizabeth
Identifying patients at risk for delirium allows prompt application of prevention, diagnostic, and treatment strategies; but is rarely done. Once delirium develops, patients are more likely to need posthospitalization skilled care. This study developed an a priori electronic prediction rule using independent risk factors identified in a National Center of Clinical Excellence meta-analysis and validated the ability to predict delirium in 2 cohorts. Retrospective analysis followed by prospective validation. Tertiary VA Hospital in New England. A total of 27,625 medical records of hospitalized patients and 246 prospectively enrolled patients admitted to the hospital. The electronic delirium risk prediction rule was created using data obtained from the patient electronic medical record (EMR). The primary outcome, delirium, was identified 2 ways: (1) from the EMR (retrospective cohort) and (2) clinical assessment on enrollment and daily thereafter (prospective participants). We assessed discrimination of the delirium prediction rule with the C-statistic. Secondary outcomes were length of stay and discharge to rehabilitation. Retrospectively, delirium was identified in 8% of medical records (n = 2343); prospectively, delirium during hospitalization was present in 26% of participants (n = 64). In the retrospective cohort, medical record delirium was identified in 2%, 3%, 11%, and 38% of the low, intermediate, high, and very high-risk groups, respectively (C-statistic = 0.81; 95% confidence interval 0.80-0.82). Prospectively, the electronic prediction rule identified delirium in 15%, 18%, 31%, and 55% of these groups (C-statistic = 0.69; 95% confidence interval 0.61-0.77). Compared with low-risk patients, those at high- or very high delirium risk had increased length of stay (5.7 ± 5.6 vs 3.7 ± 2.7 days; P = .001) and higher rates of discharge to rehabilitation (8.9% vs 20.8%; P = .02). Automatic calculation of delirium risk using an EMR algorithm identifies patients at
Pinciroli, F; Combi, C; Pozzi, G
In implementing time-orientated medical record (TOMR) management systems, use of a relational model played a big role. Many applications have been developed to extend query and data manipulation languages to temporal aspects of information. Our experience in developing TOMR revealed some deficiencies inside the relational model, such as: (a) abstract data type definition; (b) unified view of data, at a programming level; (c) management of temporal data; (d) management of signals and images. We identified some first topics to face by an object-orientated approach to database design. This paper describes the first steps in designing and implementing a TOMR by an object-orientated DBMS.
Said invention relates to a color display recording device for X ray spectra intended for medical radiography. The video signal of the X ray camera receiving the radiation having passed through the patient is amplified and transformed into a color coding according to the energy spectrum received by the camera. In a first version, the energy spectrum from the camera gives directly an image on the color tube. In a second version the energy spectrum, after having been transformed into digital signals, is first sent into a memory, then into a computer used as a spectrum analyzer, and finally into the color display device [fr
Hudson, Darren; Kushniruk, Andre W; Borycki, Elizabeth M
Electronic medical records (EMRs) has been expected to decrease health professional workload. The NASA Task Load Index has become an important tool for assessing workload in many domains. However, its application in assessing the impact of an EMR on nurse's workload has remained to be explored. In this paper we report the results of a study of workload and we explore the utility of applying the NASA Task Load Index to assess impact of an EMR at the end of its lifecycle on nurses' workload. It was found that mental and temporal demands were the most responsible for the workload. Further work along these lines is recommended.
Pantanowitz, Liron; Labranche, Wayne; Lareau, William
Clinical laboratory outreach business is changing as more physician practices adopt an electronic medical record (EMR). Physician connectivity with the laboratory information system (LIS) is consequently becoming more important. However, there are no reports available to assist the informatician with establishing and maintaining outreach LIS-EMR connectivity. A four-stage scheme is presented that was successfully employed to establish unidirectional and bidirectional interfaces with multiple physician EMRs. This approach involves planning (step 1), followed by interface building (step 2) with subsequent testing (step 3), and finally ongoing maintenance (step 4). The role of organized project management, software as a service (SAAS), and alternate solutions for outreach connectivity are discussed.
Ow Yong, Lai Meng; Tan, Amanda Wei Li; Loo, Cecilia Lay Keng; Lim, Esther Li Ping
In 2013, the Singapore General Hospital (SGH) Campus initiated a shared electronic system where patient records and documentations were standardized and shared across institutions within the Campus. The project was initiated to enhance quality of health care, improve accessibility, and ensure integrated (as opposed to fragmented) care for best outcomes in our patients. In mitigating the risks of ICT, it was found that familiarity with guiding ethical principles, and ensuring adherence to regulatory and technical competencies in medical social work were important. The need to negotiate and maneuver in a large environment within the Campus to ensure proactive integrative process helped.
Liljeqvist, Gösta T H; Staff, Michael; Puech, Michele; Blom, Hans; Torvaldsen, Siranda
Influenza intelligence in New South Wales (NSW), Australia is derived mainly from emergency department (ED) presentations and hospital and intensive care admissions, which represent only a portion of influenza-like illness (ILI) in the population. A substantial amount of the remaining data lies hidden in general practice (GP) records. Previous attempts in Australia to gather ILI data from GPs have given them extra work. We explored the possibility of applying automated data extraction from GP records in sentinel surveillance in an Australian setting.The two research questions asked in designing the study were: Can syndromic ILI data be extracted automatically from routine GP data? How do ILI trends in sentinel general practice compare with ILI trends in EDs? We adapted a software program already capable of automated data extraction to identify records of patients with ILI in routine electronic GP records in two of the most commonly used commercial programs. This tool was applied in sentinel sites to gather retrospective data for May-October 2007-2009 and in real-time for the same interval in 2010. The data were compared with that provided by the Public Health Real-time Emergency Department Surveillance System (PHREDSS) and with ED data for the same periods. The GP surveillance tool identified seasonal trends in ILI both retrospectively and in near real-time. The curve of seasonal ILI was more responsive and less volatile than that of PHREDSS on a local area level. The number of weekly ILI presentations ranged from 8 to 128 at GP sites and from 0 to 18 in EDs in non-pandemic years. Automated data extraction from routine GP records offers a means to gather data without introducing any additional work for the practitioner. Adding this method to current surveillance programs will enhance their ability to monitor ILI and to detect early warning signals of new ILI events.
Le Rest, C.; Fortineau, J.; Bernier, M.; Guillo, P.; Cavarec, M.
Achieving an urgency examination requires a rapid transmission of the results to the examiner. An efficient method of their communication could be achieved by producing a multimedia record consisting of images, comments and voiced utterances. We have retained for illustration the case of pulmonary scintigraphy in the diagnosis of pulmonary emboli. Following the acquisition the images are transferred to a PC (under Interfile format). These are displayed on the screen in association with anatomic schemes. In order to present all the elements important for interpretation, a series of tools was developed. Thus, to single out the anomalies the editor is provided with arrows to which verbal comments can be associated. Subsequently, he enters up its record. The interpreted examination is transferred to the examiner's PC via an ATM network. The consultant may then investigate the multimedia record by displaying images and comments and listening to the comments and conclusion of the isotope investigator. A prototype is already operational and its evaluation phase is to start. This stage refers to the quality of transmitted information. A quest among examiners will then allow to evaluate whether the examination reading out and the comprehension of the isotope investigators' conclusions are easier. The speed of transmission will be compared with the current routine (based on manuscript records) and its practical impact in case of urgency circumstances will be assessed. The technical facilities utilized by us allow an easy generalization of the approach to other image-based medical examinations performed in case of urgency
Perera, Gihan; Holbrook, Anne; Thabane, Lehana; Foster, Gary; Willison, Donald J
To determine how patients and physicians balance the perceived benefits and harms of sharing electronic health data for patient care and for secondary purposes. Before-after survey of patients and providers in practices using electronic medical records (EMRs) enrolled in a clinical trial in Ontario, Canada. Outcomes were measured using the Health Information Privacy Questionnaire (HIPQ) at baseline and end of study. Thirteen questions in 4 general domains investigated attitudes towards the privacy of EMRs, outsider's use of patient's health information, the sharing of patient's information within the health care system, and the overall perception of benefits versus harms of computerization in health care. 511 patients (mean age 60.3 years, 49.6% female) and 46 physicians (mean age 47.2 years, 37.0% female) participated. Most (>90%) supported the computerized sharing of the patient's health records among their health care professionals and to provide clinical advice. Fewer agreed that the patient's de-identified information should be shared outside of the health care circle (records can be keep more private than paper records (38-50%). Overall, a majority (58% patients, 70% physicians) believed that the benefits of computerization were greater than the risks of confidentiality loss. This was especially true for patients who were frequent computer users. While these primary care physicians and their patients valued the clinical features of EMRs, a substantial minority have concerns about the secondary use of de-identified information. Copyright Â© 2010 Elsevier Ireland Ltd. All rights reserved.
Nauta, Katinka J; Groenhof, Feikje; Schuling, Jan; Hugtenburg, Jacqueline G; van Hout, Hein P J; Haaijer-Ruskamp, Flora M; Denig, Petra
The STOPP/START criteria are increasingly used to assess prescribing quality in elderly patients at practice level. Our aim was to test computerized algorithms for applying these criteria to a medical record database. STOPP/START criteria-based computerized algorithms were defined using Anatomical-Therapeutic-Chemical (ATC) codes for medication and International Classification of Primary Care (ICPC) codes for diagnoses. The algorithms were applied to a Dutch primary care database, including patients aged ≥65 years using ≥5 chronic drugs. We tested for associations with patient characteristics that have previously shown a relationship with the original STOPP/START criteria, using multivariate logistic regression models. Included were 1187 patients with a median age of 75 years. In total, 39 of the 62 STOPP and 18 of the 26 START criteria could be converted to a computerized algorithm. The main reasons for inapplicability were lack of information on the severity of a condition and insufficient covering of ICPC-codes. We confirmed a positive association between the occurrence of both the STOPP and the START criteria and the number of chronic drugs (adjusted OR ranging from 1.37, 95% CI 1.04-1.82 to 3.19, 95% CI 2.33-4.36) as well as the patient's age (adjusted OR for STOPP 1.30, 95% CI 1.01-1.67; for START 1.73, 95% CI 1.35-2.21), and also between female gender and the occurrence of STOPP criteria (adjusted OR 1.41, 95% CI 1.09-1.82). Sixty-five percent of the STOPP/START criteria could be applied with computerized algorithms to a medical record database with ATC-coded medication and ICPC-coded diagnoses. Copyright © 2017 John Wiley & Sons, Ltd.
Curtis, Laura M; Mullen, Rebecca J; Russell, Allison; Fata, Aimee; Bailey, Stacy C; Makoul, Gregory; Wolf, Michael S
We tested the feasibility and efficacy of an electronic health record (EHR) strategy that automated the delivery of print medication information at the time of prescribing. Patients (N=141) receiving a new prescription at one internal medicine clinic were recruited into a 2-arm physician-randomized study. We leveraged an EHR platform to automatically deliver 1-page educational 'MedSheets' to patients after medical encounters. We also assessed if physicians counseled patients via patient self-report immediately following visits. Patients' understanding was objectively measured via phone interview. 122 patients completed the trial. Most intervention patients (70%) reported receiving MedSheets. Patients reported physicians frequently counseled on indication and directions for use, but less often for risks. In multivariable analysis, written information (OR 2.78, 95% CI 1.10-7.04) and physician counseling (OR 2.95, 95% CI 1.26-6.91) were independently associated with patient understanding of risk information. Receiving both was most beneficial; 87% of those receiving counseling and MedSheets correctly recalled medication risks compared to 40% receiving neither. An EHR can be a reliable means to deliver tangible, print medication education to patients, but cannot replace the salience of physician-patient communication. Offering both written and spoken modalities produced a synergistic effect for informing patients. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Chaganti, Shikha; Nabar, Kunal P.; Nelson, Katrina M.; Mawn, Louise A.; Landman, Bennett A.
We examine imaging and electronic medical records (EMR) of 588 subjects over five major disease groups that affect optic nerve function. An objective evaluation of the role of imaging and EMR data in diagnosis of these conditions would improve understanding of these diseases and help in early intervention. We developed an automated image processing pipeline that identifies the orbital structures within the human eyes from computed tomography (CT) scans, calculates structural size, and performs volume measurements. We customized the EMR-based phenome-wide association study (PheWAS) to derive diagnostic EMR phenotypes that occur at least two years prior to the onset of the conditions of interest from a separate cohort of 28,411 ophthalmology patients. We used random forest classifiers to evaluate the predictive power of image-derived markers, EMR phenotypes, and clinical visual assessments in identifying disease cohorts from a control group of 763 patients without optic nerve disease. Image-derived markers showed more predictive power than clinical visual assessments or EMR phenotypes. However, the addition of EMR phenotypes to the imaging markers improves the classification accuracy against controls: the AUC improved from 0.67 to 0.88 for glaucoma, 0.73 to 0.78 for intrinsic optic nerve disease, 0.72 to 0.76 for optic nerve edema, 0.72 to 0.77 for orbital inflammation, and 0.81 to 0.85 for thyroid eye disease. This study illustrates the importance of diagnostic context for interpretation of image-derived markers and the proposed PheWAS technique provides a flexible approach for learning salient features of patient history and incorporating these data into traditional machine learning analyses.
Lurie, Kristen L.; Zlatev, Dimitar V.; Angst, Roland; Liao, Joseph C.; Ellerbee, Audrey K.
Bladder cancer has a high recurrence rate that necessitates lifelong surveillance to detect mucosal lesions. Examination with white light cystoscopy (WLC), the standard of care, is inherently subjective and data storage limited to clinical notes, diagrams, and still images. A visual history of the bladder wall can enhance clinical and surgical management. To address this clinical need, we developed a tool to transform in vivo WLC videos into virtual 3-dimensional (3D) bladder models using advanced computer vision techniques. WLC videos from rigid cystoscopies (1280 x 720 pixels) were recorded at 30 Hz followed by immediate camera calibration to control for image distortions. Video data were fed into an automated structure-from-motion algorithm that generated a 3D point cloud followed by a 3D mesh to approximate the bladder surface. The highest quality cystoscopic images were projected onto the approximated bladder surface to generate a virtual 3D bladder reconstruction. In intraoperative WLC videos from 36 patients undergoing transurethral resection of suspected bladder tumors, optimal reconstruction was achieved from frames depicting well-focused vasculature, when the bladder was maintained at constant volume with minimal debris, and when regions of the bladder wall were imaged multiple times. A significant innovation of this work is the ability to perform the reconstruction using video from a clinical procedure collected with standard equipment, thereby facilitating rapid clinical translation, application to other forms of endoscopy and new opportunities for longitudinal studies of cancer recurrence.
Karlsen Tom H
Full Text Available Abstract Background Most hospitals keep and update their paper-based medical records after introducing an electronic medical record or a hospital information system (HIS. This case report describes a HIS in a hospital where the paper-based medical records are scanned and eliminated. To evaluate the HIS comprehensively, the perspectives of medical secretaries and nurses are described as well as that of physicians. Methods We have used questionnaires and interviews to assess and compare frequency of use of the HIS for essential tasks, task performance and user satisfaction among medical secretaries, nurses and physicians. Results The medical secretaries use the HIS much more than the nurses and the physicians, and they consider that the electronic HIS greatly has simplified their work. The work of nurses and physicians has also become simplified, but they find less satisfaction with the system, particularly with the use of scanned document images. Conclusions Although the basis for reference is limited, the results support the assertion that replacing the paper-based medical record primarily benefits the medical secretaries, and to a lesser degree the nurses and the physicians. The varying results in the different employee groups emphasize the need for a multidisciplinary approach when evaluating a HIS.
Opondo, Dedan; Visscher, Stefan; Eslami, Saeid; Verheij, Robert A.; Korevaar, Joke C.; Abu-Hanna, Ameen
To assess guideline adherence of co-prescribing NSAID and gastroprotective medications for elders in general practice over time, and investigate its potential association with the electronic medical record (EMR) system brand used. We included patients 65 years and older who received NSAIDs between
Opondo, D.; Visscher, S.; Eslami, S.; Verheij, R.A.; Korevaar, J.C.; Abu-Hanna, A.
Objective: To assess guideline adherence of co-prescribing NSAID and gastroprotective medications for elders in general practice over time, and investigate its potential association with the electronic medical record (EMR) system brand used. Methods: We included patients 65 years and older who
Schildcrout, Jonathan S; Basford, Melissa A; Pulley, Jill M; Masys, Daniel R; Roden, Dan M; Wang, Deede; Chute, Christopher G; Kullo, Iftikhar J; Carrell, David; Peissig, Peggy; Kho, Abel; Denny, Joshua C
We describe a two-stage analytical approach for characterizing morbidity profile dissimilarity among patient cohorts using electronic medical records. We capture morbidities using the International Statistical Classification of Diseases and Related Health Problems (ICD-9) codes. In the first stage of the approach separate logistic regression analyses for ICD-9 sections (e.g., "hypertensive disease" or "appendicitis") are conducted, and the odds ratios that describe adjusted differences in prevalence between two cohorts are displayed graphically. In the second stage, the results from ICD-9 section analyses are combined into a general morbidity dissimilarity index (MDI). For illustration, we examine nine cohorts of patients representing six phenotypes (or controls) derived from five institutions, each a participant in the electronic MEdical REcords and GEnomics (eMERGE) network. The phenotypes studied include type II diabetes and type II diabetes controls, peripheral arterial disease and peripheral arterial disease controls, normal cardiac conduction as measured by electrocardiography, and senile cataracts. Copyright © 2010 Elsevier Inc. All rights reserved.
Pérez-Santonja, T; Gómez-Paredes, L; Álvarez-Montero, S; Cabello-Ballesteros, L; Mombiela-Muruzabal, M T
The introduction of electronic medical records and computer media in clinics, has influenced the physician-patient relationship. These modifications have many advantages, but there is concern that the computer has become too important, going from a working tool to the centre of our attention during the clinical interview, decreasing doctor interaction with the patient. The objective of the study was to estimate the percentage of time that family physicians spend on computer media compared to interpersonal communication with the patient, and whether this time is modified depending on different variables such as, doctor's age or reason for the consultation. An observational and descriptive study was conducted for 10 weeks, with 2 healthcare centres involved. The researchers attended all doctor- patient interviews, recording the patient time in and out of the consultation. Each time the doctor fixed his gaze on computer media the time was clocked. A total of 436 consultations were collected. The doctors looked at the computer support a median 38.33% of the total duration of an interview. Doctors of 45 years and older spent more time fixing their eyes on computer media (P<.05). Family physicians used almost 40% of the consultation time looking at computer media, and depends on age of physician, number of queries, and number of medical appointments. Copyright © 2016 Sociedad Española de Médicos de Atención Primaria (SEMERGEN). Publicado por Elsevier España, S.L.U. All rights reserved.
Zelig, Ari; Harwayne-Gidansky, Ilana; Gault, Allison; Wang, Julie
The growing prevalence of food allergies indicates a responsibility among primary care providers to ensure that their patients receive accurate diagnosis and management. To improve physician knowledge and management of food allergies by implementing educational and electronic medical record interventions. Pre- and posttest scores of pediatric residents and faculty were analyzed to assess the effectiveness of an educational session designed to improve knowledge of food allergy management. One year later, a best practice advisory was implemented in the electronic medical record to alert providers to consider allergy referral whenever a diagnosis code for food allergy or epinephrine autoinjector prescription was entered. A review of charts 6 months before and 6 months after each intervention was completed to determine the impact of both interventions. Outcome measurements included referrals to an allergy clinic, prescription of self-injectable epinephrine, and documentation that written emergency action plans were provided. There was a significant increase in test scores immediately after the educational intervention (mean, 56.2 versus 84.3%; p management of children with food allergies at our pediatrics clinic. Further studies are needed to identify effective strategies to improve management of food allergies by primary care physicians.
Full Text Available William R Hersh,1 Paul N Gorman,1 Frances E Biagioli,2 Vishnu Mohan,1 Jeffrey A Gold,3 George C Mejicano4 1Department of Medical Informatics and Clinical Epidemiology, 2Department of Family Medicine, 3Department of Medicine, 4School of Medicine, Oregon Health & Science University, Portland, OR, USA Abstract: Physicians in the 21st century will increasingly interact in diverse ways with information systems, requiring competence in many aspects of clinical informatics. In recent years, many medical school curricula have added content in information retrieval (search and basic use of the electronic health record. However, this omits the growing number of other ways that physicians are interacting with information that includes activities such as clinical decision support, quality measurement and improvement, personal health records, telemedicine, and personalized medicine. We describe a process whereby six faculty members representing different perspectives came together to define competencies in clinical informatics for a curriculum transformation process occurring at Oregon Health & Science University. From the broad competencies, we also developed specific learning objectives and milestones, an implementation schedule, and mapping to general competency domains. We present our work to encourage debate and refinement as well as facilitate evaluation in this area. Keywords: curriculum transformation, clinical decision support, patient safety, health care quality, patient engagement
Through the combination of manual retrieval and computerized retrieval, medical records of acupuncture-moxibustion in The Twenty-Four Histories were collected. Acupuncture cases from the Spring and Autumn Period (770-476 B.C.) to the end of the Ming Dynasty (1368-1644)were retrieved. From the medical records of acupuncture-moxibustion in Chinese official history books, it can be found that systematic diseases or emergent and severe diseases were already treated by physicians with the combination of acupuncture and medicine as early as in the Spring and Autumn Period as well as the Warring States Period(475-221 B.C.). CANG Gong, a famous physician of the Western Han Dynasty (206 B. C.-A. D. 24), cured diseases by selecting points along the running courses of meridians where the illness inhabited, which indicates that the theory of meridians and collaterals was served as a guide for clinical practice as early as in the Western Han Dynasty. Blood letting therapy, which has surprising effect, was often adopted by physicians of various historical periods to treat diseases. And treatment of diseases with single point was approved to be easy and effective.
Goldstein, David H; Phelan, Rachel; Wilson, Rosemary; Ross-White, Amanda; VanDenKerkhof, Elizabeth G; Penning, John P; Jaeger, Melanie
The purpose of this paper is to examine physician barriers to adopting electronic medical records (EMRs) as well as anesthesiologists' experiences with the EMRs used by the acute pain management service at two tertiary care centres in Canada. We first review the recent literature to determine if physician barriers to adoption are changing given the exponential growth of information technology and the evolving healthcare environment. We next report on institutional experience from two academic health sciences centres regarding the challenges they encountered over the past ten years in developing and implementing an electronic medical record system for acute pain management. The key identified barriers to adoption of EMRs are financial, technological, and time constraints. These barriers are identical to those reported in a systematic review performed prior to 2009 and remain significant factors challenging implementation. These challenges were encountered during our institution's process of adopting EMRs specific to acute pain management. In addition, our findings emphasize the importance of physician participation in the development and implementation stages of EMRs in order to incorporate their feedback and ensure the EMR system is in keeping with their workflow. Use of EMRs will inevitably become the standard of care; however, many barriers persist to impede their implementation and adoption. These challenges to implementation can be facilitated by a corporate strategy for change that acknowledges the barriers and provides the resources for implementation. Adoption will facilitate benefits in communication, patient management, research, and improved patient safety.
O'Malley, Ann S; Cohen, Genna R; Grossman, Joy M
Commercial electronic medical records (EMRs) both help and hinder physician interpersonal communication--real-time, face-to-face or phone conversations--with patients and other clinicians, according to a new Center for Studying Health System Change (HSC) study based on in-depth interviews with clinicians in 26 physician practices. EMRs assist real-time communication with patients during office visits, primarily through immediate access to patient information, allowing clinicians to talk with patients rather than search for information from paper records. For some clinicians, however, aspects of EMRs pose a distraction during visits. Moreover, some indicated that clinicians may rely on EMRs for information gathering and transfer at the expense of real-time communication with patients and other clinicians. Given time pressures already present in many physician practices, EMR and office-work flow modifications could help ensure that EMRs advance care without compromising interpersonal communication. In particular, policies promoting EMR adoption should consider incorporating communication-skills training for medical trainees and clinicians using EMRs.
The use of electronic patient records for medical research is extremely topical. The Clinical Practice Research Datalink (CRPD), the English NHS observational data and interventional research service, was launched in April 2012. The CPRD has access to, and facilities to link, many healthcare related datasets. The CPRD is partially based on learning from the Health Research Support Service (HRSS), which was used to test the technical and practical aspects of downloading and linking electronic patient records for research. Questions around the feasibility and acceptability of implementing and integrating the processes necessary to enable electronic patient records to be used for the purposes of research remain. Focus groups and interviews were conducted with a total of 50 patients and 7 staff from the two English GP practices involved in piloting the HRSS, supplemented with 11 interviews with key stakeholders. Emergent themes were mapped on to the constructs of normalization process theory (NPT) to consider the ways in which sense was made of the work of implementing and integrating the HRSS. The NPT analysis demonstrated a lack of commitment to, and engagement with, the HRSS on the part of patients, whilst the commitment of doctors and practice staff was to some extent mitigated by concerns about issues of governance and consent, particularly in relation to downloading electronic patient records with associated identifiers. Although the CPRD is presented as a benign, bureaucratic process, perceptions by patients and staff of inherent contradictions with centrally held values of information governance and consent in downloading and linking electronic patient records for research remains a barrier to implementation. It is likely that conclusions reached about the problems of balancing the contradictions inherent in sharing what can be perceived as a private resource for the public good are globally transferrable.
Full Text Available In a time when Europe is preparing to introduce new regulations on privacy protection, we conducted a survey among 1700 twins enrolled in the Italian Twin Register about the access and use of their medical records for public health research without explicit informed consent. A great majority of respondents would refuse or are doubtful about the access and use of hospital discharge records or clinical data without their explicit consent. Young and female individuals represent the modal profile of these careful people. As information retrieved from medical records is crucial for progressing knowledge, it is important to promote a better understanding of the value of public health research activities among the general population. Furthermore, public opinions are relevant to policy making, and concerns and preferences about privacy and confidentiality in research can contribute to the design of procedures to exploit medical records effectively and customize the protection of individuals’ medical data.
Bigelow, James H; Fonkych, Kateryna; Girosi, Federico
.... The three sections of this paper summarize these documents in the order listed. Report no. 1 estimates the degree to which hospitals and physician practices have adopted electronic medical records (EMRs...
Larsen, Anna Bira; Haugbølle, Lotte Stig
the assumed user benefits. Neither Danish nor international studies dealt with users' perspective on ADD in general or with respect to the pinpointed benefits, and thus exploration was needed. OBJECTIVES: The objective of this article is to respond to the following research question: How does ADD affect users......' handling and consumption of medication in terms of compliance behavior, and how does the assumption of user benefits made by health professionals and legislators measure up to users' experiences with ADD? METHODS: The results built on a secondary analysis of 9 qualitative interviews with a varied selection...... understanding, nor does it automatically eliminate stockpiles of old medication in users' homes. The gap between the perspectives of users and health professionals makes a compelling case for considering users' voices in the development and implementation of future health technologies....
Utku, Semih; Özcanhan, Mehmet Hilal; Unluturk, Mehmet Suleyman
Patient delivery time is no longer considered as the only critical factor, in ambulatory services. Presently, five clinical performance indicators are used to decide patient satisfaction. Unfortunately, the emergency ambulance services in rapidly growing metropolitan areas do not meet current satisfaction expectations; because of human errors in the management of the objects onboard the ambulances. But, human involvement in the information management of emergency interventions can be reduced by electronic tracking of personnel, assets, consumables and drugs (PACD) carried in the ambulances. Electronic tracking needs the support of automation software, which should be integrated to the overall hospital information system. Our work presents a complete solution based on a centralized database supported by radio frequency identification (RFID) and bluetooth low energy (BLE) identification and tracking technologies. Each object in an ambulance is identified and tracked by the best suited technology. The automated identification and tracking reduces manual paper documentation and frees the personnel to better focus on medical activities. The presence and amounts of the PACD are automatically monitored, warning about their depletion, non-presence or maintenance dates. The computerized two way hospital-ambulance communication link provides information sharing and instantaneous feedback for better and faster diagnosis decisions. A fully implemented system is presented, with detailed hardware and software descriptions. The benefits and the clinical outcomes of the proposed system are discussed, which lead to improved personnel efficiency and more effective interventions. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
Radiation dosimetry for the diagnostic medical imaging procedures performed on humans requires anatomically accurate, computational models. These may be constructed from medical images as voxel-based tomographic models. However, they are time consuming to produce and as a consequence, there are few available. This paper discusses the emergence of semi-automatic segmentation techniques and describes an application (iRAD) written in Microsoft Visual Basic that allows the bitmap of a medical image to be segmented interactively and semi-automatically while displayed in Microsoft Excel. iRAD will decrease the time required to construct voxel models. Copyright (2001) Australasian College of Physical Scientists and Engineers in Medicine
Gupta, Sameer; Boehme, Jacqueline; Manser, Kelly; Dewar, Jannine; Miller, Amie; Siddiqui, Gina; Schwaitzberg, Steven D
Background Google Glass has been used in a variety of medical settings with promising results. We explored the use and potential value of an asynchronous, near-real time protocol-which avoids transmission issues associated with real-time applications-for recording, uploading, and viewing of high-definition (HD) visual media in the emergency department (ED) to facilitate remote surgical consults. Study Design First-responder physician assistants captured pertinent aspects of the physical examination and diagnostic imaging using Google Glass' HD video or high-resolution photographs. This visual media were then securely uploaded to the study website. The surgical consultation then proceeded over the phone in the usual fashion and a clinical decision was made. The surgeon then accessed the study website to review the uploaded video. This was followed by a questionnaire regarding how the additional data impacted the consultation. Results The management plan changed in 24% (11) of cases after surgeons viewed the video. Five of these plans involved decision making regarding operative intervention. Although surgeons were generally confident in their initial management plan, confidence scores increased further in 44% (20) of cases. In addition, we surveyed 276 ED patients on their opinions regarding concerning the practice of health care providers wearing and using recording devices in the ED. The survey results revealed that the majority of patients are amenable to the addition of wearable technology with video functionality to their care. Conclusions This study demonstrates the potential value of a medically dedicated, hands-free, HD recording device with internet connectivity in facilitating remote surgical consultation. © The Author(s) 2016.
Full Text Available Currently, medical institutes generally use EMR to record patient’s condition, including diagnostic information, procedures performed, and treatment results. EMR has been recognized as a valuable resource for large-scale analysis. However, EMR has the characteristics of diversity, incompleteness, redundancy, and privacy, which make it difficult to carry out data mining and analysis directly. Therefore, it is necessary to preprocess the source data in order to improve data quality and improve the data mining results. Different types of data require different processing technologies. Most structured data commonly needs classic preprocessing technologies, including data cleansing, data integration, data transformation, and data reduction. For semistructured or unstructured data, such as medical text, containing more health information, it requires more complex and challenging processing methods. The task of information extraction for medical texts mainly includes NER (named-entity recognition and RE (relation extraction. This paper focuses on the process of EMR processing and emphatically analyzes the key techniques. In addition, we make an in-depth study on the applications developed based on text mining together with the open challenges and research issues for future work.
Baird, Shawn; Boak, George
Purpose Leaders in health-care organizations introducing electronic medical records (EMRs) face implementation challenges. The adoption of EMR by the emergency medical and ambulance setting is expected to provide wide-ranging benefits, but there is little research into the processes of adoption in this sector. The purpose of this study is to examine the introduction of EMR in a small emergency care organization and identify factors that aided adoption. Design/methodology/approach Semi-structured interviews with selected paramedics were followed up with a survey issued to all paramedics in the company. Findings The user interfaces with the EMR, and perceived ease of use, were important factors affecting adoption. Individual paramedics were found to have strong and varied preferences about how and when they integrated the EMR into their practice. As company leadership introduced flexibility of use, this enhanced both individual and collective ability to make sense of the change and removed barriers to acceptance. Research limitations/implications This is a case study of one small organization. However, there may be useful lessons for other emergency care organizations adopting EMR. Practical implications Leaders introducing EMR in similar situations may benefit from considering a sense-making perspective and responding promptly to feedback. Originality/value The study contributes to a wider understanding of issues faced by leaders who seek to implement EMRs in emergency medical services, a sector in which there has been to date very little research on this issue.
Virostko, John; Hilmes, Melissa; Eitel, Kelsey; Moore, Daniel J.; Powers, Alvin C.
Aims This study harnessed the electronic medical record to assess pancreas volume in patients with type 1 diabetes (T1D) and matched controls to determine whether pancreas volume is altered in T1D and identify covariates that influence pancreas volume. Methods This study included 25 patients with T1D and 25 age-, sex-, and weight-matched controls from the Vanderbilt University Medical Center enterprise data warehouse. Measurements of pancreas volume were made from medical imaging studies using magnetic resonance imaging (MRI) or computed tomography (CT). Results Patients with T1D had a pancreas volume 47% smaller than matched controls (41.16 ml vs. 77.77 ml, P pancreas volume normalized by subject body weight, body mass index, or body surface area (all P pancreas volume over time (~ 6% of volume/year), whereas five controls scanned a year apart did not exhibit a decline in pancreas size (P = 0.03). The pancreas was uniformly smaller on the right and left side of the abdomen. Conclusions Pancreas volume declines with disease duration in patients with T1D, suggesting a protracted pathological process that may include the exocrine pancreas. PMID:27391588
Peng, Mingkai; Chen, Guanmin; Kaplan, Gilaad G; Lix, Lisa M; Drummond, Neil; Lucyk, Kelsey; Garies, Stephanie; Lowerison, Mark; Weibe, Samuel; Quan, Hude
Electronic medical records (EMR) can be a cost-effective source for hypertension surveillance. However, diagnosis of hypertension in EMR is commonly under-coded and warrants the needs to review blood pressure and antihypertensive drugs for hypertension case identification. We included all the patients actively registered in The Health Improvement Network (THIN) database, UK, on 31 December 2011. Three case definitions using diagnosis code, antihypertensive drug prescriptions and abnormal blood pressure, respectively, were used to identify hypertension patients. We compared the prevalence and treatment rate of hypertension in THIN with results from Health Survey for England (HSE) in 2011. Compared with prevalence reported by HSE (29.7%), the use of diagnosis code alone (14.0%) underestimated hypertension prevalence. The use of any of the definitions (38.4%) or combination of antihypertensive drug prescriptions and abnormal blood pressure (38.4%) had higher prevalence than HSE. The use of diagnosis code or two abnormal blood pressure records with a 2-year period (31.1%) had similar prevalence and treatment rate of hypertension with HSE. Different definitions should be used for different study purposes. The definition of 'diagnosis code or two abnormal blood pressure records with a 2-year period' could be used for hypertension surveillance in THIN. © The Author 2015. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: firstname.lastname@example.org.
Alanazi, H O; Zaidan, A A; Zaidan, B B; Kiah, M L Mat; Al-Bakri, S H
This study has two objectives. First, it aims to develop a system with a highly secured approach to transmitting electronic medical records (EMRs), and second, it aims to identify entities that transmit private patient information without permission. The NTRU and the Advanced Encryption Standard (AES) cryptosystems are secured encryption methods. The AES is a tested technology that has already been utilized in several systems to secure sensitive data. The United States government has been using AES since June 2003 to protect sensitive and essential information. Meanwhile, NTRU protects sensitive data against attacks through the use of quantum computers, which can break the RSA cryptosystem and elliptic curve cryptography algorithms. A hybrid of AES and NTRU is developed in this work to improve EMR security. The proposed hybrid cryptography technique is implemented to secure the data transmission process of EMRs. The proposed security solution can provide protection for over 40 years and is resistant to quantum computers. Moreover, the technique provides the necessary evidence required by law to identify disclosure or misuse of patient records. The proposed solution can effectively secure EMR transmission and protect patient rights. It also identifies the source responsible for disclosing confidential patient records. The proposed hybrid technique for securing data managed by institutional websites must be improved in the future.
Bernstein, Peter S; Farinelli, Christine; Merkatz, Irwin R
In 2002, the Institute of Medicine called for the introduction of information technologies in health care settings to improve quality of care. We conducted a review of hospital charts of women who delivered before and after the implementation of an intranet-based computerized prenatal record in an inner-city practice. Our objective was to assess whether the use of this record improved communication among the outpatient office, the ultrasonography unit, and the labor floor. The charts of patients who delivered in August 2002 and August 2003 and received their prenatal care at the Comprehensive Family Care Center at Montefiore Medical Center were analyzed. Data collected included the presence of a copy of the prenatal record in the hospital chart, the date of the last documented prenatal visit, and documentation of any prenatal ultrasonograms performed. Forty-three charts in each group were available for review. The prenatal chart was absent in 16% of the charts of patients from August 2002 compared with only 2% in August 2003 charts (P intranet-based prenatal chart significantly improves communication among providers.
Leonard, D C; Pons, Alexander P; Asfour, Shihab S
The technology exists for the migration of healthcare data from its archaic paper-based system to an electronic one, and, once in digital form, to be transported anywhere in the world in a matter of seconds. The advent of universally accessible healthcare data has benefited all participants, but one of the outstanding problems that must be addressed is how the creation of a standardized nationwide electronic healthcare record system in the United States would uniquely identify and match a composite of an individual's recorded healthcare information to an identified individual patients out of approximately 300 million people to a 1:1 match. To date, a few solutions to this problem have been proposed that are limited in their effectiveness. We propose the use of biometric technology within our fingerprint, iris, retina scan, and DNA (FIRD) framework, which is a multiphase system whose primary phase is a multilayer consisting of these four types of biometric identifiers: 1) fingerprint; 2) iris; 3) retina scan; and 4) DNA. In addition, it also consists of additional phases of integration, consolidation, and data discrepancy functions to solve the unique association of a patient to their medical data distinctively. This would allow a patient to have real-time access to all of their recorded healthcare information electronically whenever it is necessary, securely with minimal effort, greater effectiveness, and ease.
Martin, Suzanne; Warner, Echo L; Kirchhoff, Anne C; Mooney, Ryan; Martel, Laura; Kepka, Deanna
This pilot study aims to improve HPV vaccination for college aged males at a student health center. The first part of the study consisted of a focus group that assessed the barriers and facilitators of HPV vaccination among healthcare providers and clinic staff (N = 16). Providers reported missed opportunities for HPV vaccination. For the second part of the study, providers and staff reviewed medical records of patients ages 18-26 with student health insurance and with HPV vaccine at baseline (12/1/2014 to 7/31/2015) and follow-up (12/1/2015 to 7/31/2016). A computer-automated EMR alert was generated in the medical record of eligible male patients (N = 386). Z-scores were estimated for two-sample proportions to measure change in HPV vaccine rates at baseline and follow-up for males and females. HPV vaccine initiation rates increased among males (baseline: 5.2% follow-up: 25.1%, p HPV vaccine initiation rates among insured college-aged males.
Hanke, Alexander; Prantl, Lukas; Wenzel, Carina; Nerlich, Michael; Brockhoff, Gero; Loibl, Markus; Gehmert, Sebastian
The stem cell rich Stromal Vascular Fraction (SVF) can be harvested by processing lipo-aspirate or fat tissue with an enzymatic digestion followed by centrifugation. To date neither a standardised extraction method for SVF nor a generally admitted protocol for cell application in patients exists. A novel commercially available semi-automated device for the extraction of SVF promises sterility, consistent results and usability in the clinical routine. The aim of this work was to compare the quantity and quality of the SVF between the new system and an established manual laboratory method. SVF was extracted from lipo-aspirate both by a prototype of the semi-automated UNiStation™ (NeoGenesis, Seoul, Korea) and by hand preparation with common laboratory equipment. Cell composition of the SVF was characterized by multi-parametric flow-cytometry (FACSCanto-II, BD Biosciences). The total cell number (quantity) of the SVF was determined as well the percentage of cells expressing the stem cell marker CD34, the leucocyte marker CD45 and the marker CD271 for highly proliferative stem cells (quality). Lipo-aspirate obtained from six patients was processed with both the novel device (d) and the hand preparation (h) which always resulted in a macroscopically visible SVF. However, there was a tendency of a fewer cell yield per gram of used lipo-aspirate with the device (d: 1.1×105±1.1×105 vs. h: 2.0×105±1.7×105; p = 0.06). Noteworthy, the percentage of CD34+ cells was significantly lower when using the device (d: 57.3% ±23.8% vs. h: 74.1% ±13.4%; p = 0.02) and CD45+ leukocyte counts tend to be higher when compared to the hand preparation (d: 20.7% ±15.8% vs. h: 9.8% ±7.1%; p = 0.07). The percentage of highly proliferative CD271+ cells was similar for both methods (d:12.9% ±9.6% vs. h: 13.4% ±11.6%; p = 0.74) and no differences were found for double positive cells of CD34+/CD45+ (d: 5.9% ±1.7% vs. h: 1.7% ±1.1%; p = 0.13), CD34+/CD271+ (d: 24
Rocca, Walter A; Yawn, Barbara P; St Sauver, Jennifer L; Grossardt, Brandon R; Melton, L Joseph
The Rochester Epidemiology Project (REP) has maintained a comprehensive medical records linkage system for nearly half a century for almost all persons residing in Olmsted County, Minnesota. Herein, we provide a brief history of the REP before and after 1966, the year in which the REP was officially established. The key protagonists before 1966 were Henry Plummer, Mabel Root, and Joseph Berkson, who developed a medical records linkage system at Mayo Clinic. In 1966, Leonard Kurland established collaborative agreements with other local health care providers (hospitals, physician groups, and clinics [primarily Olmsted Medical Center]) to develop a medical records linkage system that covered the entire population of Olmsted County, and he obtained funding from the National Institutes of Health to support the new system. In 1997, L. Joseph Melton III addressed emerging concerns about the confidentiality of medical record information by introducing a broad patient research authorization as per Minnesota state law. We describe how the key protagonists of the REP have responded to challenges posed by evolving medical knowledge, information technology, and public expectation and policy. In addition, we provide a general description of the system; discuss issues of data quality, reliability, and validity; describe the research team structure; provide information about funding; and compare the REP with other medical information systems. The REP can serve as a model for the development of similar research infrastructures in the United States and worldwide. Copyright © 2012 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.
Tasa, Umut Burcu; Ozcan, Oguzhan; Yantac, Asim Evren; Unluer, Ayca
It is a known fact that there is a conflict between what users expect and what user interface designers create in the field of medical informatics along with other fields of interface design. The objective of the study is to suggest, from the 'design art' perspective, a method for improving the usability of an electronic medical record (EMR) interface. The suggestion is based on the hypothesis that the user interface of an EMR should be iconographic. The proposed three-step method consists of a questionnaire survey on how hospital users perceive concepts/terms that are going to be used in the EMR user interface. Then icons associated with the terms are designed by a designer, following a guideline which is prepared according to the results of the first questionnaire. Finally the icons are asked back to the target group for proof. A case study was conducted with 64 medical staff and 30 professional designers for the first questionnaire, and with 30 medical staff for the second. In the second questionnaire 7.53 icons out of 10 were matched correctly with a standard deviation of 0.98. Also, all icons except three were matched correctly in at least 83.3% of the forms. The proposed new method differs from the majority of previous studies which are based on user requirements by leaning on user experiments instead. The study demonstrated that the user interface of EMRs should be designed according to a guideline that results from a survey on users' experiences on metaphoric perception of the terms.
Adekunle Yisau Abdulkadir
Full Text Available AIM: With the background knowledge that auditing of Medical Records (MR for adequacy and completeness is necessary if it is to be useful and reliable in continuing patient care; protection of the legal interest of the patient, physicians, and the Hospital; and meeting requirements for researches, we scrutinized theatre records of our hospital to identify routine omissions or deficiencies, and correctable errors in our MR system. METHOD: Obstetrics and Gynaecological post operation theatre records between January 2006 and December 2008 were quantitatively and qualitatively analyzed for details that included: hospital number; Patients age; diagnosis; surgery performed; types and modes of anesthesia; date of surgery; patients ward; Anesthetists names; surgeons and attending nurses names, and abbreviations used with SPSS 15.0 for Windows. RESULTS: Hardly were any of the 1270 surgeries during the study period documented without an omission or an abbreviation. Hospital numbers and patients age were not documented in 21.8% (n=277 and 59.1% (n=750 respectively. Diagnoses and surgeries were recorded with varying abbreviations in about 96% of instances. Surgical team names were mostly abbreviated or initials only given. CONCLUSION: To improve the quality of Paper-based Medical Record, regular auditing, training and good orientation of medical personnel for good record practices, and discouraging large volume record book to reduce paper damages and sheet loss from handling are necessary else what we record toady may neither be useful nor available tomorrow. [TAF Prev Med Bull 2010; 9(5.000: 427-432
Jennifer T. Fink
Full Text Available Purpose: This study examined concordance between presence of obesity body mass index (BMI, defined as BMI ≥ 30, in the patient’s electronic medical record (EMR and a documented diagnosis of obesity. Methods: We conducted a retrospective review of the EMR in a large health care system for a 1-year period (2012. A total of 397,313 patients met the study criteria of having at least one physician visit, being at least 18 years of age, and not being pregnant. Of those, 158,327 (40% had a recorded BMI ≥ 30. We examined the EMR of these obese patients to determine whether a diagnosis of obesity was recorded, and whether demographics or comorbid diagnoses impacted the likelihood of a recorded obesity diagnosis. Results: Obesity appeared on the EMR problem list for only 35% of patients with BMI ≥ 30. Obesity diagnosis was documented more frequently in women, middle-aged patients and blacks. The presence of some comorbidities (e.g. sleep apnea, hypertension, diabetes led to significantly more frequent diagnosis of obesity. There was a significant positive association between the number of comorbid diagnoses per patient and an obesity diagnosis appearing on the problem list. Conclusions: Obesity remains underrecorded in the EMR problem list despite the presence of obesity BMI in the EMR. Patient demographics and comorbidities should be considered when identifying best practices for weight management. New practices should be patient-centered and consider cultural context as well as the social and physical resources available to patients – all crucial for enacting systems change in a true accountable care environment.
Nemeth, Lynne S; Feifer, Chris; Stuart, Gail W; Ornstein, Steven M
Implementing change in primary care is difficult, and little practical guidance is available to assist small primary care practices. Methods to structure care and develop new roles are often needed to implement an evidence-based practice that improves care. This study explored the process of change used to implement clinical guidelines for primary and secondary prevention of cardiovascular disease in primary care practices that used a common electronic medical record (EMR). Multiple conceptual frameworks informed the design of this study designed to explain the complex phenomena of implementing change in primary care practice. Qualitative methods were used to examine the processes of change that practice members used to implement the guidelines. Purposive sampling in eight primary care practices within the Practice Partner Research Network-Translating Researching into Practice (PPRNet-TRIP II) clinical trial yielded 28 staff members and clinicians who were interviewed regarding how change in practice occurred while implementing clinical guidelines for primary and secondary prevention of cardiovascular disease and strokes. A conceptual framework for implementing clinical guidelines into primary care practice was developed through this research. Seven concepts and their relationships were modelled within this framework: leaders setting a vision with clear goals for staff to embrace; involving the team to enable the goals and vision for the practice to be achieved; enhancing communication systems to reinforce goals for patient care; developing the team to enable the staff to contribute toward practice improvement; taking small steps, encouraging practices' tests of small changes in practice; assimilating the electronic medical record to maximize clinical effectiveness, enhancing practices' use of the electronic tool they have invested in for patient care improvement; and providing feedback within a culture of improvement, leading to an iterative cycle of goal setting
Full Text Available Abstract Background Our objective was to limit the burden of data collection for Quality Indicators (QIs based on medical records. Methods The study was supervised by the COMPAQH project. Four QIs based on medical records were tested: medical record conformity; traceability of pain assessment; screening for nutritional disorders; time elapsed before sending copy of discharge letter to the general practitioner. Data were collected by 6 Clinical Research Assistants (CRAs in a panel of 36 volunteer hospitals and analyzed by COMPAQH. To limit the burden of data collection, we used the same sample of medical records for all 4 QIs, limited sample size to 80 medical records, and built a composite score of only 10 items to assess medical record completeness. We assessed QI feasibility by completing a grid of 19 potential problems and evaluating time spent. We assessed reliability (κ coefficient as well as internal consistency (Cronbach α coefficient in an inter-observer study, and discriminatory power by analysing QI variability among hospitals. Results Overall, 23 115 data items were collected for the 4 QIs and analyzed. The average time spent on data collection was 8.5 days per hospital. The most common feasibility problem was misunderstanding of the item by hospital staff. QI reliability was good (κ: 0.59–0.97 according to QI. The hospitals differed widely in their ability to meet the quality criteria (mean value: 19–85%. Conclusion These 4 QIs based on medical records can be used to compare the quality of record keeping among hospitals while limiting the burden of data collection, and can therefore be used for benchmarking purposes. The French National Health Directorate has included them in the new 2009 version of the accreditation procedure for healthcare organizations.
Full Text Available Abstract Background Incident reporting is the most common method for detecting adverse events in a hospital. However, under-reporting or non-reporting and delay in submission of reports are problems that prevent early detection of serious adverse events. The aim of this study was to determine whether it is possible to promptly detect serious injuries after inpatient falls by using a natural language processing method and to determine which data source is the most suitable for this purpose. Methods We tried to detect adverse events from narrative text data of electronic medical records by using a natural language processing method. We made syntactic category decision rules to detect inpatient falls from text data in electronic medical records. We compared how often the true fall events were recorded in various sources of data including progress notes, discharge summaries, image order entries and incident reports. We applied the rules to these data sources and compared F-measures to detect falls between these data sources with reference to the results of a manual chart review. The lag time between event occurrence and data submission and the degree of injury were compared. Results We made 170 syntactic rules to detect inpatient falls by using a natural language processing method. Information on true fall events was most frequently recorded in progress notes (100%, incident reports (65.0% and image order entries (12.5%. However, F-measure to detect falls using the rules was poor when using progress notes (0.12 and discharge summaries (0.24 compared with that when using incident reports (1.00 and image order entries (0.91. Since the results suggested that incident reports and image order entries were possible data sources for prompt detection of serious falls, we focused on a comparison of falls found by incident reports and image order entries. Injury caused by falls found by image order entries was significantly more severe than falls detected by
Gierl, Mark J; Lai, Hollis
Computerised assessment raises formidable challenges because it requires large numbers of test items. Automatic item generation (AIG) can help address this test development problem because it yields large numbers of new items both quickly and efficiently. To date, however, the quality of the items produced using a generative approach has not been evaluated. The purpose of this study was to determine whether automatic processes yield items that meet standards of quality that are appropriate for medical testing. Quality was evaluated firstly by subjecting items created using both AIG and traditional processes to rating by a four-member expert medical panel using indicators of multiple-choice item quality, and secondly by asking the panellists to identify which items were developed using AIG in a blind review. Fifteen items from the domain of therapeutics were created in three different experimental test development conditions. The first 15 items were created by content specialists using traditional test development methods (Group 1 Traditional). The second 15 items were created by the same content specialists using AIG methods (Group 1 AIG). The third 15 items were created by a new group of content specialists using traditional methods (Group 2 Traditional). These 45 items were then evaluated for quality by a four-member panel of medical experts and were subsequently categorised as either Traditional or AIG items. Three outcomes were reported: (i) the items produced using traditional and AIG processes were comparable on seven of eight indicators of multiple-choice item quality; (ii) AIG items can be differentiated from Traditional items by the quality of their distractors, and (iii) the overall predictive accuracy of the four expert medical panellists was 42%. Items generated by AIG methods are, for the most part, equivalent to traditionally developed items from the perspective of expert medical reviewers. While the AIG method produced comparatively fewer plausible
Joseph, A.; Seuntjens, J.; Parker, W.; Kildea, J. [Dept. of Medical Physics, McGill University Health Centre, Montreal, QC (Canada); Freeman, C. [Dept. of Radiation Oncology, McGill University Health Centre, Montreal, QC (Canada)
We describe development of automated, web-based, electronic health record (EHR) auditing software for use within our paperless radiation oncology clinic. By facilitating access to multiple databases within the clinic, each patient's EHR is audited prior to treatment, regularly during treatment, and post treatment. Anomalies such as missing documentation, non-compliant workflow and treatment parameters that differ significantly from the norm may be monitored, flagged and brought to the attention of clinicians. By determining historical trends using existing patient data and by comparing new patient data with the historical, we expect our software to provide a measurable improvement in the quality of radiotherapy at our centre.
Granlien, Maren Sander; Hertzum, Morten
Clinicians’ adoption of the information systems deployed at hospitals is crucial to achieving the intended effects of the systems, yet many systems face substantial adoption barriers. In this study we analyse the adoption and use of an electronic medication record (EMR) 2-4 years after its...... deployment. We investigate mid-and-lower-level managers’ perception of (a) the extent to which clinicians have adopted the EMR and the work procedures associated with its use and (b) possible barriers toward adopting the EMR and work procedures, including the managers’ perception of the usefulness and ease...... obtained. Eleven categories of barrier are identified with uncertainty about what the barriers concretely are as the prime barrier. This prime barrier is particularly noteworthy because the respondents are formally responsible for the adoption of the EMR. It is apparent that time alone has not led...
Full Text Available Clinical laboratory outreach business is changing as more physician practices adopt an electronic medical record (EMR. Physician connectivity with the laboratory information system (LIS is consequently becoming more important. However, there are no reports available to assist the informatician with establishing and maintaining outreach LIS-EMR connectivity. A four-stage scheme is presented that was successfully employed to establish unidirectional and bidirectional interfaces with multiple physician EMRs. This approach involves planning (step 1, followed by interface building (step 2 with subsequent testing (step 3, and finally ongoing maintenance (step 4. The role of organized project management, software as a service (SAAS, and alternate solutions for outreach connectivity are discussed.
Martínez Monterrubio, Sergio Mauricio; Frausto Solis, Juan; Monroy Borja, Raúl
The proper functioning of a hospital computer system is an arduous work for managers and staff. However, inconsistent policies are frequent and can produce enormous problems, such as stolen information, frequent failures, and loss of the entire or part of the hospital data. This paper presents a new method named EMRlog for computer security systems in hospitals. EMRlog is focused on two kinds of security policies: directive and implemented policies. Security policies are applied to computer systems that handle huge amounts of information such as databases, applications, and medical records. Firstly, a syntactic verification step is applied by using predicate logic. Then data mining techniques are used to detect which security policies have really been implemented by the computer systems staff. Subsequently, consistency is verified in both kinds of policies; in addition these subsets are contrasted and validated. This is performed by an automatic theorem prover. Thus, many kinds of vulnerabilities can be removed for achieving a safer computer system.
Sergio Mauricio Martínez Monterrubio
Full Text Available The proper functioning of a hospital computer system is an arduous work for managers and staff. However, inconsistent policies are frequent and can produce enormous problems, such as stolen information, frequent failures, and loss of the entire or part of the hospital data. This paper presents a new method named EMRlog for computer security systems in hospitals. EMRlog is focused on two kinds of security policies: directive and implemented policies. Security policies are applied to computer systems that handle huge amounts of information such as databases, applications, and medical records. Firstly, a syntactic verification step is applied by using predicate logic. Then data mining techniques are used to detect which security policies have really been implemented by the computer systems staff. Subsequently, consistency is verified in both kinds of policies; in addition these subsets are contrasted and validated. This is performed by an automatic theorem prover. Thus, many kinds of vulnerabilities can be removed for achieving a safer computer system.
Eklund, Benny; Joustra-Enquist, Ingrid
The basic idea of Sustains III is to emulate the Internet banking for Health Care. Instead of an "Internet Bank Account" the user has a "Health Care Account". The user logs in using a One Time Password which is sent to the user's mobile phone as an SMS, three seconds after the PIN code is entered. Thus personal information can be transferred both ways in a secure way, with acceptable privacy. The user can then explore the medical record in detail. Also get full and complete list of prescriptions, lab-result etc. It's also an easy way of exchange written information between the doctor and the patient. So far Sustains has showed that patients are very satisfied and is also beneficial for the physicians.
Adams, William G; Mann, Adriana M; Bauchner, Howard
To evaluate the quality of pediatric primary care, including preventive services, before and after the introduction of an electronic medical record (EMR) developed for use in an urban pediatric primary care center. A pre-postintervention analysis was used in the study. The intervention was a pediatric EMR. Routine health care maintenance visits for children eye-to-eye contact with patients was reduced, and 4 of 7 reported that use of the system increased the duration of visits (mean: 9.3 minutes longer). All users recommended continued use of the system. Use of the EMR in this study was associated with improved quality of care. This experience suggests that EMRs can be successfully used in busy urban pediatric primary care centers and, as recommended by the Institute of Medicine, must play a central role in the redesign of the US health care system.
Full Text Available The author describes problems related to the implementation of electronic medical record in family medicine in Slovenia since 1992 when first personal computers have been delivered to family physicians' practices. The situation of health care informatization and implementation of electronic medical record in primary health care in new countries, other former Yugoslav republics, is described. There are rather big differences among countries and even among some regions of one country, but in the last year the situation improved, especially in Montenegro, Serbia and Slovenia. The main problem that is still unsolved is software offered by several companies which do not offer many functions, are non-standardized or user friendly enough and is not adapted to doctors' needs. Some important questions on medical records are discussed, e.g. what is in fact a medical record, what is its purpose, who uses it, which record is a good one, what should contain and confidentiality issue. The author describes what makes electronic medical record better than paper-based one (above all it is of better quality, efficiency and care-safe, easier in data retrieval and does it offer the possibility of data exchange with other health care professionals and what are the barriers to its wider implementation.
Martín-Baranera, M; Planas, I; Palau, J; Sanz, F
The Institut Municipal d'Assistència Sanitària (IMAS) is a health care organization in Barcelona, comprising two general hospitals, a psychiatric hospital, a surgical clinic, a geriatric center, some primary care clinics, and a research institute. Since 1984, IMAS has been engaged in creating a multicenter integrated hospital information system (IMASIS). Currently, IMASIS offers the possibility to manage administrative data, laboratory results, pathology and cytology reports, radiology reports, and pharmacy inpatient orders; it also shares this information on-line among IMAS centers. IMASIS users may also work with a word processor, a spreadsheet, a database, or a statistical package and have access to MEDLINE. A second phase of IMASIS development began in December 1993 focused on clinical information management. The goal was to move towards an integrated multimedia medical record . As a first step, the implementation experiences of the most advanced hospital information systems around the world were studied. Some of these experiences detected behavioral, cultural, and organizational factors  as the main sources of delay, or even failure, in HIS projects. A preliminary analysis to define such factors, assess their potential impact, and introduce adequate measures to deal with them seemed unavoidable before structuring of the project. In our approach to physician attitudes analysis, two survey techniques were applied. First, every hospital service head was contacted to schedule an interview, with either a service representative or a group of staff physicians and residents. The aim was to provide detailed information about project objectives and collect personal opinions, problems encountered in the current HIS, and specific needs of every medical and surgical specialty (including imaging needs). Every service head was asked to distribute a questionnaire among all clinicians, which assessed frequency of use of IMASIS current applications, user's satisfaction
Birken, Catherine S.; Tu, Karen; Oud, William; Carsley, Sarah; Hanna, Miranda; Lebovic, Gerald; Guttmann, Astrid
Abstract Objective To determine the prevalence of overweight and obese status in children by age, sex, and visit type, using data from EMRALD® (Electronic Medical Record Administrative data Linked Database). Design Heights and weights were abstracted for children 0 to 19 years of age who had at least one well-child visit from January 2010 to December 2011. Using the most recent visit, the proportions and 95% CIs of patients defined as overweight and obese were compared by age group, sex, and visit type using the World Health Organization growth reference standards. Setting Ontario. Participants Children 0 to 19 years of age who were rostered to a primary care physician participating in EMRALD and had at least one well-child visit from January 2010 to December 2011. Main outcome measures Proportion and 95% CI of children with overweight and obese status by age group; proportion of children with overweight and obese status by sex (with male sex as the referent) within each age group; and proportion of children with overweight and obese status at the most recent well-child visit type compared with other visit types by age group. Results There were 28 083 well-child visits during this period. For children who attended well-child visits, 84.7% of visits had both a height and weight documented. Obesity rates were significantly higher in 1- to 4-year-olds compared with children younger than 1 (6.1% vs 2.3%; P overweight and obese status were lower using data from well-child visits compared with other visits. Conclusion Electronic medical records might be useful to conduct population-based surveillance of overweight or obese status in children. Methodologic standards, however, should be developed. PMID:28209703
Swan, D; Hannigan, A; Higgins, S; McDonnell, R; Meagher, D; Cullen, W
In Ireland, as in many other healthcare systems, mental health service provision is being reconfigured with a move toward more care in the community, and particularly primary care. Recording and surveillance systems for mental health information and activities in primary care are needed for service planning and quality improvement. We describe the development and initial implementation of a software tool ('mental health finder') within a widely used primary care electronic medical record system (EMR) in Ireland to enable large-scale data collection on the epidemiology and management of mental health and substance use problems among patients attending general practice. In collaboration with the Irish Primary Care Research Network (IPCRN), we developed the 'Mental Health Finder' as a software plug-in to a commonly used primary care EMR system to facilitate data collection on mental health diagnoses and pharmacological treatments among patients. The finder searches for and identifies patients based on diagnostic coding and/or prescribed medicines. It was initially implemented among a convenience sample of six GP practices. Prevalence of mental health and substance use problems across the six practices, as identified by the finder, was 9.4% (range 6.9-12.7%). 61.9% of identified patients were female; 25.8% were private patients. One-third (33.4%) of identified patients were prescribed more than one class of psychotropic medication. Of the patients identified by the finder, 89.9% were identifiable via prescribing data, 23.7% via diagnostic coding. The finder is a feasible and promising methodology for large-scale data collection on mental health problems in primary care.
Hofer, Philipp; Neururer, Sabrina; Goebel, Georg
Data describing biobank resources frequently contains unstructured free-text information or insufficient coding standards. (Bio-) medical ontologies like Orphanet Rare Diseases Ontology (ORDO) or the Human Disease Ontology (DOID) provide a high number of concepts, synonyms and entity relationship properties. Such standard terminologies increase quality and granularity of input data by adding comprehensive semantic background knowledge from validated entity relationships. Moreover, cross-references between terminology concepts facilitate data integration across databases using different coding standards. In order to encourage the use of standard terminologies, our aim is to identify and link relevant concepts with free-text diagnosis inputs within a biobank registry. Relevant concepts are selected automatically by lexical matching and SPARQL queries against a RDF triplestore. To ensure correctness of annotations, proposed concepts have to be confirmed by medical data administration experts before they are entered into the registry database. Relevant (bio-) medical terminologies describing diseases and phenotypes were identified and stored in a graph database which was tied to a local biobank registry. Concept recommendations during data input trigger a structured description of medical data and facilitate data linkage between heterogeneous systems.
Chen, Yukun; Wrenn, Jesse; Xu, Hua; Spickard, Anderson; Habermann, Ralf; Powers, James; Denny, Joshua C
Competence is essential for health care professionals. Current methods to assess competency, however, do not efficiently capture medical students' experience. In this preliminary study, we used machine learning and natural language processing (NLP) to identify geriatric competency exposures from students' clinical notes. The system applied NLP to generate the concepts and related features from notes. We extracted a refined list of concepts associated with corresponding competencies. This system was evaluated through 10-fold cross validation for six geriatric competency domains: "medication management (MedMgmt)", "cognitive and behavioral disorders (CBD)", "falls, balance, gait disorders (Falls)", "self-care capacity (SCC)", "palliative care (PC)", "hospital care for elders (HCE)" - each an American Association of Medical Colleges competency for medical students. The systems could accurately assess MedMgmt, SCC, HCE, and Falls competencies with F-measures of 0.94, 0.86, 0.85, and 0.84, respectively, but did not attain good performance for PC and CBD (0.69 and 0.62 in F-measure, respectively).
Riahi, Sanaz; Fischler, Ilan; Stuckey, Melanie I; Klassen, Philip E; Chen, John
Electronic medical records (EMR) have been implemented in many organizations to improve the quality of care. Evidence supporting the value added to a recovery-oriented mental health facility is lacking. The goal of this project was to implement and customize a fully integrated EMR system in a specialized, recovery-oriented mental health care facility. This evaluation examined the outcomes of quality improvement initiatives driven by the EMR to determine the value that the EMR brought to the organization. The setting was a tertiary-level mental health facility in Ontario, Canada. Clinical informatics and decision support worked closely with point-of-care staff to develop workflows and documentation tools in the EMR. The primary initiatives were implementation of modules for closed loop medication administration, collaborative plan of care, clinical practice guidelines for schizophrenia, restraint minimization, the infection prevention and control surveillance status board, drug of abuse screening, and business intelligence. Medication and patient scan rates have been greater than 95% since April 2014, mitigating the adverse effects of medication errors. Specifically, between April 2014 and March 2015, only 1 moderately severe and 0 severe adverse drug events occurred. The number of restraint incidents decreased 19.7%, which resulted in cost savings of more than Can $1.4 million (US $1.0 million) over 2 years. Implementation of clinical practice guidelines for schizophrenia increased adherence to evidence-based practices, standardizing care across the facility. Improved infection prevention and control surveillance reduced the number of outbreak days from 47 in the year preceding implementation of the status board to 7 days in the year following. Decision support to encourage preferential use of the cost-effective drug of abuse screen when clinically indicated resulted in organizational cost savings. EMR implementation allowed Ontario Shores Centre for Mental Health
Liang, Su-Ying; Phillips, Kathryn A.; Wang, Grace; Keohane, Carol; Armstrong, Joanne; Morris, William M.; Haas, Jennifer S.
Background Administrative claims and medical records are important data sources to examine healthcare utilization and outcomes. Little is known about identifying personalized medicine technologies in these sources. Objectives To describe agreement, sensitivity, and specificity of administrative claims compared to medical records for two pairs of targeted tests and treatments for breast cancer. Research Design Retrospective analysis of medical records linked to administrative claims from a large health plan. We examined whether agreement varied by factors that facilitate tracking in claims (coding and cost) and that enhance medical record completeness (records from multiple providers). Subjects Women (35 – 65 years) with incident breast cancer diagnosed in 2006–2007 (n=775). Measures Use of human epidermal growth factor receptor 2 (HER2) and gene expression profiling (GEP) testing, trastuzumab and adjuvant chemotherapy in claims and medical records. Results Agreement between claims and records was substantial for GEP, trastuzumab, and chemotherapy, and lowest for HER2 tests. GEP, an expensive test with unique billing codes, had higher agreement (91.6% vs. 75.2%), sensitivity (94.9% vs. 76.7%), and specificity (90.1% vs. 29.2%) than HER2, a test without unique billing codes. Trastuzumab, a treatment with unique billing codes, had slightly higher agreement (95.1% vs. 90%) and sensitivity (98.1% vs. 87.9%) than adjuvant chemotherapy. Conclusions Higher agreement and specificity were associated with services that had unique billing codes and high cost. Administrative claims may be sufficient for examining services with unique billing codes. Medical records provide better data for identifying tests lacking specific codes and for research requiring detailed clinical information. PMID:21422962
Vair, Christina L; King, Paul R; Gass, Julie; Eaker, April; Kusche, Anna; Wray, Laura O
Many older adults continue to drive following dementia diagnosis, with medical providers increasingly likely to be involved in addressing such safety concerns. This study examined electronic medical record (EMR) documentation of driving safety for veterans with dementia (N = 118) seen in Veterans Affairs primary care and interdisciplinary geriatrics clinics in one geographic region over a 10-year period. Qualitative directed content analysis of retrospective EMR data. Assessment of known risk factors or subjective concerns for unsafe driving were documented in fewer than half of observed cases; specific recommendations for driving safety were evident for a minority of patients, with formal driving evaluation the most frequently documented recommendation by providers. Utilizing data from actual clinical encounters provides a unique snapshot of how driving risk and safety concerns are addressed for veterans with dementia. This information provides a meaningful frame of reference for understanding potential strengths and possible gaps in how this important topic area is being addressed in the course of clinical care. The EMR is an important forum for interprofessional communication, with documentation of driving risk and safety concerns an essential element for continuity of care and ensuring consistency of information delivered to patients and caregivers.
Kuo, Kuang-Ming; Talley, Paul C; Hung, Ming-Chien; Chen, Yen-Liang
Mala, George; Spigt, Mark G; Gidding, Luc G; Blanco, Roman; Dinant, Geert-Jan
To determine quality of diagnosis and monitoring of treatment response of patients with smear-negative pulmonary tuberculosis (TB) compared with smear-positive cases in Ethiopia. A retrospective analysis of medical records of newly diagnosed pulmonary TB cases that were registered for taking anti-TB medication and had completed treatment between 2010 and 2012. We evaluated the percentage of cases that were managed according to the International Standards of Tuberculosis Care (ISTC) and compared smear-negative with smear-positive cases. We analysed 1168 cases of which 742 (64%) were sputum smear-negative cases. Chest radiography examination at diagnosis and microbiological testing at the end of the intensive phase of treatment was performed in a smaller proportion than in smear-positive TB cases (70% vs. 79%, P value ISTC are of greatest importance in minimising pitfalls in care of smear-negative TB yet were performed less often in smear-negative than smear-positive TB cases. © The Author(s) 2015.
Full Text Available Abstract Background The electronic medical record (EMR is one of the most promising components of health information technology. However, the overall impact of EMR adoption on outcomes at US hospitals remains unknown. This study examined the relationship between basic EMR adoption and 30-day rehospitalization, 30-day mortality, inpatient mortality and length of stay. Methods Our overall approach was to compare outcomes for the two years before and two years after the year of EMR adoption, at 708 acute-care hospitals in the US from 2000 to 2007. We looked at the effect of EMR on outcomes using two methods. First, we compared the outcomes by quarter for the period before and after EMR adoption among hospitals that adopted EMR. Second, we compared hospitals that adopted EMR to those that did not, before and after EMR adoption, using a generalized linear model. Results Hospitals adopting EMR experienced 0.11 (95% CI: -0.218 to −0.002 days’ shorter length of stay and 0.182 percent lower 30-day mortality, but a 0.19 (95% CI: 0.0006 to 0.0033 percent increase in 30-day rehospitalization in the two years after EMR adoption. The association of EMR adoption with outcomes also varied by type of admission (medical vs. surgical. Conclusions Previous studies using observational data from large samples of hospitals have produced conflicting results. However, using different methods, we found a small but statistically significant association of EMR adoption with outcomes of hospitalization.
Full Text Available This article reports the findings of the first stage of an ongoing, longitudinal study into the implementation of an interorganisational electronic medical records (EMR system. The study adapted and expanded Davis' (1993 technology acceptance model (TAM to investigate the attitudes of primary care practitioners towards a proposed system for maternity patients. All doctors and midwives holding maternity care contracts with a large urban hospital in New Zealand were sent a questionnaire soliciting their views on a planned EMR system linking the hospital and the primary care sectors. The results showed that whilst Davis' two key factors of perceived ease of use and perceived usefulness were important to medical professionals, another key factor, perceived system acceptability, which concerns control and management of information is vitally important to the acceptance of the system. The study also showed that the two groups of professionals had differing requirements due to different levels of experience and practice computerisation. Finally, the research highlights a number of wider organisational issues particularly relevant to the use of inter organisational systems in general and healthcare systems in particular.
Singer, Alexander; Duarte Fernandez, Roberto
The Electronic Medical Record (EMR) is becoming increasingly common in health care settings. Research shows that EMRs have the potential to reduce instances of medication errors and improve communication between pharmacists and prescribers; however, more research is required to demonstrate whether this is true. This study aims to determine the effect of a newly implemented EMR system on communication between pharmacists and primary care clinicians. A retrospective chart analysis of primary care EMR data comparing faxed pharmacy communications captured before and after the implementation of an EMR system at an academic family medicine clinic. Communication requests were classified into the following various categories: refill accepted, refill denied, clarification, incorrect dose, interaction, drug insurance/coverage application, new prescription request, supplies request, continued care information, duplicate fax substitution, opioid early release request, confirmation by phone call, and other. The number and percentage of clarification requests, interaction notifications, and incorrect dose notifications were lower after the implementation of the EMR system. The number and percentage of refills accepted and new prescription requests increased after the implementation of the EMR system. The implementation of an EMR in an academic family medicine clinic had a significant effect on the volume of communication between pharmacists and prescribers. The amount of clarification requests and incorrect dosing communications decreased after EMR implementation. This suggests that EMRs improve prescribing safety. The increased amount of refills accepted and new prescription requests post EMR implementation suggests that the EMR is capable of changing prescription patterns.
Wyatt, B K
A 200-bed hospital's change in pricing drug products from a cost-plus-fee system to a flat fee per dose based on the medication administration record (MAR) is described. With the flat-fee system, drug charges are not recorded when the drug is dispensed by the pharmacy; data for charging doses are obtained directly from the MAR forms generated by the nursing staff. Charges are 55 cents per oral or suppository dose and $3.00 per injection dose. Drugs administered intravenously, topical drugs, injections costing more than $10.00 per dose, and miscellaneous nondrug items are still charged on a cost-plus-fee basis. Man-hours are saved in the pharmacy department because of the elimination of the pricing function and maintenance of price lists. The need for nursing staff to charge for any doses administered from emergency or Schedule II floor-stock supplies is eliminated. The workload for business office personnel is reduced because the number of individual charges is less than with the cost-plus charging system. The system is accepted by patients and third-party payers and has made a complete unit dose drug distribution system possible at lower cost.
Renshaw, Andrew A; Gould, Edwin W
To assess the overall impact of access to the electronic medical record (EMR) on anatomic pathology performance. We reviewed the results of all use of the EMR by 1 pathologist over an 18-month period. Of the 10,107 cases (913 cytology and 9,194 surgical pathology) reviewed, the EMR (excluding anatomic pathology records) was accessed in 222 (2.2% of all cases, 6.5% of all cytology cases, and 1.8% of all surgical pathology cases). The EMR was used to evaluate a critical value in 20 (9.0%) cases and make a more specific diagnosis in 77 (34.7%) cases, a less specific diagnosis in 4 (1.8%) cases, and a systemic rather than localized diagnosis in 4 (1.8%) cases. The percentage of cases in which the physician was contacted decreased from 7.3% for the prior 18 months to 6.7%, but this change was not significant (P = .13). Twelve cases were subsequently sent for interinstitutional consultation, and no disagreements were identified. The EMR was accessed in 2.2% of all surgical pathology and cytology cases and affected the diagnosis in 48% of these cases.
Suh, K. Stephen; Sarojini, Sreeja; Youssif, Maher; Nalley, Kip; Milinovikj, Natasha; Elloumi, Fathi; Russell, Steven; Pecora, Andrew; Schecter, Elyssa; Goy, Andre
Personalized medicine promises patient-tailored treatments that enhance patient care and decrease overall treatment costs by focusing on genetics and “-omics” data obtained from patient biospecimens and records to guide therapy choices that generate good clinical outcomes. The approach relies on diagnostic and prognostic use of novel biomarkers discovered through combinations of tissue banking, bioinformatics, and electronic medical records (EMRs). The analytical power of bioinformatic platforms combined with patient clinical data from EMRs can reveal potential biomarkers and clinical phenotypes that allow researchers to develop experimental strategies using selected patient biospecimens stored in tissue banks. For cancer, high-quality biospecimens collected at diagnosis, first relapse, and various treatment stages provide crucial resources for study designs. To enlarge biospecimen collections, patient education regarding the value of specimen donation is vital. One approach for increasing consent is to offer publically available illustrations and game-like engagements demonstrating how wider sample availability facilitates development of novel therapies. The critical value of tissue bank samples, bioinformatics, and EMR in the early stages of the biomarker discovery process for personalized medicine is often overlooked. The data obtained also require cross-disciplinary collaborations to translate experimental results into clinical practice and diagnostic and prognostic use in personalized medicine. PMID:23818899
Wang, Yu; Li, Peng-Fei; Tian, Yu; Ren, Jing-Jing; Li, Jing-Song
The use of a shared decision-making (SDM) process in antihyperglycemic medication strategy decisions is necessary due to the complexity of the conditions of diabetes patients. Knowledge of guidelines is used as decision aids in clinical situations, and during this process, no patient health conditions are considered. In this paper, we propose an SDM system framework for type-2 diabetes mellitus (T2DM) patients that not only contains knowledge abstracted from guidelines but also employs a multilabel classification model that uses class-imbalanced electronic health record (EHR) data and that aims to provide a recommended list of available antihyperglycemic medications to help physicians and patients have an SDM conversation. The use of EHR data to serve as a decision-support component in decision aids helps physicians and patients to reach a more intuitive understanding of current health conditions and allows the tailoring of the available knowledge to each patient, leading to a more effective SDM. Real-world data from 2542 T2DM inpatient EHRs were substituted by 77 features and eight output labels, i.e., eight antihyperglycemic medications, and these data were utilized to build and validate the recommendation model. The multilabel recommendation model exhibited stable performance in every single-label classification and showed the ability to predict minority positive cases in which the average recall value of the eight classes was 0.9898. As a whole multilabel classifier, the recommendation model demonstrated outstanding performance, with scores of 0.0941 for Hamming Loss, 0.7611 for Accuracy exam , 0.9664 for Recall exam , and 0.8269 for F exam .
Choi, Jong Soo; Lee, Woo Baik; Rhee, Poong-Lyul
Although Electronic Medical Record (EMR) systems provide various benefits, there are both advantages and disadvantages regarding its cost-effectiveness. This study analyzed the economic effects of EMR systems using a cost-benefit analysis based on the differential costs of managerial accounting. Samsung Medical Center (SMC) is a general hospital in Korea that developed an EMR system for outpatients from 2006 to 2008. This study measured the total costs and benefits during an 8-year period after EMR adoption. The costs include the system costs of building the EMR and the costs incurred in smoothing its adoption. The benefits included cost reductions after its adoption and additional revenues from both remodeling of paper-chart storage areas and medical transcriptionists' contribution. The measured amounts were discounted by SMC's expected interest rate to calculate the net present value (NPV), benefit-cost ratio (BCR), and discounted payback period (DPP). During the analysis period, the cumulative NPV and the BCR were US$3,617 thousand and 1.23, respectively. The DPP was about 6.18 years. Although the adoption of an EMR resulted in overall growth in administrative costs, it is cost-effective since the cumulative NPV was positive. The positive NPV was attributed to both cost reductions and additional revenues. EMR adoption is not so attractive to management in that the DPP is longer than 5 years at 6.18 and the BCR is near 1 at 1.23. However, an EMR is a worthwhile investment, seeing that this study did not include any qualitative benefits and that the paper-chart system was cost-centric.
Tariq, A; Lehnbom, E; Oliver, K; Georgiou, A; Rowe, C; Osmond, T; Westbrook, J
Electronic medication administration record (eMAR) systems are promoted as a potential intervention to enhance medication safety in residential aged care facilities (RACFs). The purpose of this study was to conduct an in-practice evaluation of an eMAR being piloted in one Australian RACF before its roll out, and to provide recommendations for system improvements. A multidisciplinary team conducted direct observations of workflow (n=34 hours) in the RACF site and the community pharmacy. Semi-structured interviews (n=5) with RACF staff and the community pharmacist were conducted to investigate their views of the eMAR system. Data were analysed using a grounded theory approach to identify challenges associated with the design of the eMAR system. The current eMAR system does not offer an end-to-end solution for medication management. Many steps, including prescribing by doctors and communication with the community pharmacist, are still performed manually using paper charts and fax machines. Five major challenges associated with the design of eMAR system were identified: limited interactivity; inadequate flexibility; problems related to information layout and semantics; the lack of relevant decision support; and system maintenance issues. We suggest recommendations to improve the design of the eMAR system and to optimize existing workflows. Immediate value can be achieved by improving the system interactivity, reducing inconsistencies in data entry design and offering dedicated organisational support to minimise connectivity issues. Longer-term benefits can be achieved by adding decision support features and establishing system interoperability requirements with stakeholder groups (e.g. community pharmacies) prior to system roll out. In-practice evaluations of technologies like eMAR system have great value in identifying design weaknesses which inhibit optimal system use.
Lee, Joon; Maslove, David M
Severity of illness (SOI) scores are traditionally based on archival data collected from a wide range of clinical settings. Mortality prediction using SOI scores tends to underperform when applied to contemporary cases or those that differ from the case-mix of the original derivation cohorts. We investigated the use of local clinical data captured from hospital electronic medical records (EMRs) to improve the predictive performance of traditional severity of illness scoring. We conducted a retrospective analysis using data from the Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II) database, which contains clinical data from the Beth Israel Deaconess Medical Center in Boston, Massachusetts. A total of 17 490 intensive care unit (ICU) admissions with complete data were included, from 4 different service types: medical ICU, surgical ICU, coronary care unit, and cardiac surgery recovery unit. We developed customized SOI scores trained on data from each service type, using the clinical variables employed in the Simplified Acute Physiology Score (SAPS). In-hospital, 30-day, and 2-year mortality predictions were compared with those obtained from using the original SAPS using the area under the receiver-operating characteristics curve (AUROC) as well as the area under the precision-recall curve (AUPRC). Test performance in different cohorts stratified by severity of organ injury was also evaluated. Most customized scores (30 of 39) significantly outperformed SAPS with respect to both AUROC and AUPRC. Enhancements over SAPS were greatest for patients undergoing cardiovascular surgery and for prediction of 2-year mortality. Custom models based on ICU-specific data provided better mortality prediction than traditional SAPS scoring using the same predictor variables. Our local data approach demonstrates the value of electronic data capture in the ICU, of secondary uses of EMR data, and of local customization of SOI scoring. © The Author(s) 2015.
Martinez-Laguna, Daniel; Soria-Castro, Alberto; Carbonell-Abella, Cristina; Orozco-López, Pilar; Estrada-Laza, Pilar; Nogues, Xavier; Díez-Perez, Adolfo; Prieto-Alhambra, Daniel
Electronic medical records databases use pre-specified lists of diagnostic codes to identify fractures. These codes, however, are not specific enough to disentangle traumatic from fragility-related fractures. We report on the proportion of fragility fractures identified in a random sample of coded fractures in SIDIAP. Patients≥50 years old with any fracture recorded in 2012 (as per pre-specified ICD-10 codes) and alive at the time of recruitment were eligible for this retrospective observational study in 6 primary care centres contributing to the SIDIAP database (www.sidiap.org). Those with previous fracture/s, non-responders, and those with dementia or a serious psychiatric disease were excluded. Data on fracture type (traumatic vs fragility), skeletal site, and basic patient characteristics were collected. Of 491/616 (79.7%) patients with a registered fracture in 2012 who were contacted, 331 (349 fractures) were included. The most common fractures were forearm (82), ribs (38), and humerus (32), and 225/349 (64.5%) were fragility fractures, with higher proportions for classic osteoporotic sites: hip, 91.7%; spine, 87.7%; and major fractures, 80.5%. This proportion was higher in women, the elderly, and patients with a previously coded diagnosis of osteoporosis. More than 4 in 5 major fractures recorded in SIDIAP are due to fragility (non-traumatic), with higher proportions for hip (92%) and vertebral (88%) fracture, and a lower proportion for fractures other than major ones. Our data support the validity of SIDIAP for the study of the epidemiology of osteoporotic fractures. Copyright © 2017 Elsevier España, S.L.U. and Sociedad Española de Reumatología y Colegio Mexicano de Reumatología. All rights reserved.
Kerner, Daniel E; Knezevich, Emily L
The primary objective of this study was to determine if an online reminder decreased the rate of primary nonadherence for antihypertensive medications in patients seen in 2 primary care clinics in Omaha, NE. The secondary objectives were to determine if patients receiving the intervention achieved lower blood pressure values at follow-up visits and to determine if the intervention decreased the number of days between prescribing and prescription pick-up. A report was generated in an electronic health record to identify patients prescribed a new antihypertensive medication from a physician at one of the primary care clinics. Patients that failed to pick up this new prescription from the pharmacy within 7 days were sent an electronic reminder via an online patient portal. A baseline comparator group was created with the use of retrospective chart reviews for the 6 months before prospective data collection. Primary nonadherence rate and blood pressure values at follow-up visits were compared between the prospective and baseline comparator groups. The primary nonadherence rate decreased from 65.5% to 22.2% when comparing the baseline and prospective groups, respectively. The mean days to prescription pick-up decreased from 24.5 to 12.56 in the baseline and prospective groups. The prospective group showed a larger decrease in systolic blood pressure (17.33 mm Hg vs. 0.75 mm Hg) and diastolic blood pressure (6.56 mm Hg vs. 2.25 mm Hg) compared with the baseline group. An online reminder through the electronic medical record appears to improve patient primary nonadherence, number of days between prescribing and prescription pick-up, and blood pressure measurements at follow-up visits. This research shows that an online reminder may be a valuable tool to improve patient primary adherence and health outcomes. Further research is needed with the use of a larger sample population to support any hypotheses about the effectiveness of the intervention. Copyright © 2017 American
van de Sandt, Femke; Umans, Victor
The incidence of acute cardiac events - including out-of-hospital cardiac arrest - may be increased in visitors of large sports stadiums when compared with the general population. This study sought to investigate the incidence of acute cardiac events inside large Dutch football stadiums, as well as the emergency response systems deployed in these stadiums and the success rate for in-stadium resuscitation. Retrospective cohort study using a questionnaire sent to the 20 Dutch stadiums that hosted professional matches during the 2006-2007 and 2007-2008 football seasons. Stadium capacity ranged from 3600 to 51 600 spectators. Nearly 13 million spectators attended 686 'Eredivisie' (Honorary Division) and European football matches. All stadiums distribute multiple emergency medical teams among the spectators. Eighty-five percent of the stadiums have an ambulance standby during matches, 95% of the stadiums were equipped with automated external defibrillators (AEDs) during the study period. On an average, one AED was available for every 7576 spectators (range 1800-29 600). Ninety-three cardiac events were reported (7.3 per 1 million spectators). An AED was used 22 times (1.7 per 1 million spectators). Resuscitation was successful in 18 cases (82%, 95% confidence interval: 61-93). The incidence of out-of-hospital cardiac arrest inside large football stadiums in the Netherlands, albeit increased when compared with the general population, is low. The success rate for in-stadium resuscitation by medical teams equipped with AEDs is high. Dutch stadiums appear vigilant in regard to acute cardiac events. This report highlights the importance of adequate emergency medical response systems (including AEDs) in large sports venues.
Park, Yu Jin; Rim, John Hoon; Yim, Jisook; Lee, Sang-Guk; Kim, Jeong-Ho
The use of iodinated contrast media has grown in popularity in the past two decades, but relatively little attention has been paid to the possible interferential effects of contrast media on laboratory test results. Herein, we investigate medical contrast media interference with routine chemistry results obtained by three automated chemistry analyzers. Ten levels of pooled serum were used in the study. Two types of medical contrast media [Iopamiro (iopamidol) and Omnipaque (iohexol)] were evaluated. To evaluate the dose-dependent effects of the contrast media, iopamidol and iohexol were spiked separately into aliquots of serum for final concentrations of 1.8%, 3.6%, 5.5%, 7.3%, and 9.1%. The 28 analytes included in the routine chemistry panel were measured by using Hitachi 7600, AU5800, and Cobas c702 analyzers. We calculated the delta percentage difference (DPD) between the samples and the control, and examined dose-dependent trends. When the mean DPD values were compared with the reference cut-off criteria, the only uniformly interferential effect observed for all analyzers was in total protein with iopamidol. Two additional analytes that showed trends toward interferential effects only in few analyzers and exceeded the limits of the allowable error were the serum iron and the total CO 2 . The other combinations of analyzer and contrast showed no consistent dose-dependent propensity for change in any analyte level. Our study suggests that many of the analytes included in routine chemistry results, except total protein and serum iron, are not significantly affected by iopamidol and iohexol. These results suggest that it would be beneficial to apply a flexible medical evaluation process for patients requiring both laboratory tests and imaging studies, minimizing the need for strict regulations for sequential tests. Copyright © 2017 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.
Full Text Available The feasibility of using imperfectly phenotyped "silver standard" samples identified from electronic medical record diagnoses is considered in genetic association studies when these samples might be combined with an existing set of samples phenotyped with a gold standard technique. An analytic expression is derived for the power of a chi-square test of independence using either research-quality case/control samples alone, or augmented with silver standard data. The subset of the parameter space where inclusion of silver standard samples increases statistical power is identified. A case study of dementia subjects identified from electronic medical records from the Electronic Medical Records and Genomics (eMERGE network, combined with subjects from two studies specifically targeting dementia, verifies these results.
Tran, Hong Thi; Nguyen, Hoa Phuong; Walker, Sue M; Hill, Peter S; Rao, Chalapati
Information on causes of death (COD) is crucial for measuring the health outcomes of populations and progress towards the Sustainable Development Goals. In many countries such as Vietnam where the civil registration and vital statistics (CRVS) system is dysfunctional, information on vital events will continue to rely on verbal autopsy (VA) methods. This study assesses the validity of VA methods used in Vietnam, and provides recommendations on methods for implementing VA validation studies in Vietnam. This validation study was conducted on a sample of 670 deaths from a recent VA study in Quang Ninh province. The study covered 116 cases from this sample, which met three inclusion criteria: a) the death occurred within 30 days of discharge after last hospitalisation, and b) medical records (MRs) for the deceased were available from respective hospitals, and c) the medical record mentioned that the patient was terminally ill at discharge. For each death, the underlying cause of death (UCOD) identified from MRs was compared to the UCOD from VA. The validity of VA diagnoses for major causes of death was measured using sensitivity, specificity and positive predictive value (PPV). The sensitivity of VA was at least 75% in identifying some leading CODs such as stroke, road traffic accidents and several site-specific cancers. However, sensitivity was less than 50% for other important causes including ischemic heart disease, chronic obstructive pulmonary diseases, and diabetes. Overall, there was 57% agreement between UCOD from VA and MR, which increased to 76% when multiple causes from VA were compared to UCOD from MR. Our findings suggest that VA is a valid method to ascertain UCOD in contexts such as Vietnam. Furthermore, within cultural contexts in which patients prefer to die at home instead of a healthcare facility, using the available MRs as the gold standard may be meaningful to the extent that recall bias from the interval between last hospital discharge and death
Full Text Available Abstract Background The objective of this study was to evaluate the validity of self reported criteria of Metabolic Syndrome (MS in the SUN (Seguimiento Universidad de Navarra cohort using their medical records as the gold standard. Methods We selected 336 participants and we obtained MS related data according to Adult Treatment Panel III (ATP III and International Diabetes Federation (IDF. Then we compared information on the self reported diagnosis of MS and MS diagnosed in their medical records. We calculated the proportion of confirmed MS, the proportion of confirmed non-MS and the intraclass correlation coefficients for each component of the MS. Results From those 336 selected participants, we obtained sufficient data in 172 participants to confirm or reject MS using ATP III criteria. The proportion of confirmed MS was 91.2% (95% CI: 80.7- 97.1 and the proportion of confirmed non-MS was 92.2% (95% CI: 85.7-96.4 using ATP III criteria. The proportion of confirmed MS using IDF criteria was 100% (95% CI: 87.2-100 and the proportion of confirmed non-MS was 97.1% (95% CI: 85.1-99.9. Kappa Index was 0.82 in the group diagnosed by ATP III criteria and 0.97 in the group diagnosed by IDF criteria. Intraclass correlation coefficients for the different component of MS were: 0.93 (IC 95%:0.91- 0.95 for BMI; 0.96 (IC 95%: 0.93-0.98 for waist circumference; 0.75 (IC 95%: 0.66-0.82 for fasting glucose; 0.50 (IC 95%:0.35-0.639 for HDL cholesterol; 0.78 (IC 95%: 0.70-0.84 for triglycerides; 0.49 (IC 95%:0.34-0.61 for systolic blood pressure and 0.55 (IC 95%: 0.41-0.65 for diastolic blood pressure. Conclusions Self-reported MS based on self reported components of the SM in a Spanish cohort of university graduates was sufficiently valid as to be used in epidemiological studies.
Finney Rutten LJ
Full Text Available Lila J Finney Rutten,1 Sana N Vieux,2 Jennifer L St Sauver,1 Neeraj K Arora,2 Richard P Moser,2 Ellen Burke Beckjord,3 Bradford W Hesse2 1Robert D. and Patricia E. Kern Center for the Science of Healthcare Delivery, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA; 2Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA; 3Biobehavioral Medicine in Oncology Program, University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA Purpose: Despite considerable potential for improving health care quality, adoption of new technologies, such as electronic medical records (EMRs, requires prudence, to ensure that such tools are designed, implemented, and used meaningfully to facilitate patient-centered communication and care processes, and better health outcomes. The association between patients’ perceptions of health care provider use of EMRs and health care quality ratings was assessed. Method: Data from two iterations of the Health Information National Trends Survey, fielded in 2011 and 2012, were pooled for these analyses. The data were collected via mailed questionnaire, using a nationally representative listing of home addresses as the sampling frame (n=7,390. All data were weighted to provide representative estimates of quality of care ratings and physician use of EMR, in the adult US population. Descriptive statistics, t-tests, and multivariable linear regression analyses were conducted. Results: EMR use was reported significantly more frequently by females, younger age groups, non-Hispanic whites, and those with higher education, higher incomes, health insurance, and a usual source of health care. Respondents who reported physician use of EMRs had significantly higher ratings of care quality (Beta=4.83, standard error [SE]=1.7, P<0.01, controlling for sociodemographic characteristics, usual source of health care, and health insurance status. Conclusion: Nationally representative
Soysal, Elif; Gries, Heike; Wray, Carter
To identify guidelines for anesthesia management and determine whether general anesthesia is safe for pediatric patients on ketogenic diet (KD). Retrospective medical record review. Postoperative recovery area. All pediatric patients who underwent general anesthesia while on KD between 2009 and 2014 were reviewed. We identified 24 patients who underwent a total of 33 procedures. All children were on KD due to intractable epilepsy. The age of patients ranged from 1 to 15 years. General anesthesia for the scheduled procedures. Patients' demographics, seizure history, type of procedure; perioperative blood chemistry, medications including the anesthesia administered, and postoperative complications. Twenty-four patients underwent a total of 33 procedures. The duration of KD treatment at the time of general anesthesia ranged from 4 days to 8 years. Among the 33 procedures, 3 patients had complications that could be attributable to KD and general anesthesia. A 9-year-old patient experienced increased seizures on postoperative day 0. An 8-year-old patient with hydropcephalus developed metabolic acidosis on postoperative day 1, and a 7-year-old patient's procedure was complicated by respiratory distress and increased seizure activity in the postanesthesia care unit. This study showed that it is relatively safe for children on KD to undergo general anesthesia. The 3 complications attributable to general anesthesia were mild, and the increased seizure frequencies in 2 patients returned back to baseline in 24 hours. Although normal saline is considered more beneficial than lactated Ringer's solution in patients on KD, normal saline should also be administered carefully because of the risk of exacerbating patients' metabolic acidosis. One should be aware of the potential change of the ketogenic status due to drugs given intraoperatively. Copyright © 2016 Elsevier Inc. All rights reserved.
Fritz, Fleur; Tilahun, Binyam; Dugas, Martin
Electronic medical record (EMR) systems have the potential of supporting clinical work by providing the right information at the right time to the right people and thus make efficient use of resources. This is especially important in low-resource settings where reliable data are also needed to support public health and local supporting organizations. In this systematic literature review, our objectives are to identify and collect literature about success criteria of EMR implementations in low-resource settings and to summarize them into recommendations. Our search strategy relied on PubMed queries and manual bibliography reviews. Studies were included if EMR implementations in low-resource settings were described. The extracted success criteria and measurements were summarized into 7 categories: ethical, financial, functionality, organizational, political, technical, and training. We collected 381 success criteria with 229 measurements from 47 articles out of 223 articles. Most papers were evaluations or lessons learned from African countries, published from 1999 to 2013. Almost half of the EMR systems served a specific disease area like human immunodeficiency virus (HIV). The majority of criteria that were reported dealt with the functionality, followed by organizational issues, and technical infrastructures. Sufficient training and skilled personnel were mentioned in roughly 10%. Political, ethical, and financial considerations did not play a predominant role. More evaluations based on reliable frameworks are needed. Highly reliable data handling methods, human resources and effective project management, as well as technical architecture and infrastructure are all key factors for successful EMR implementation. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: email@example.com.
Bayliss, Elizabeth A; McQuillan, Deanna B; Ellis, Jennifer L; Maciejewski, Matthew L; Zeng, Chan; Barton, Mary B; Boyd, Cynthia M; Fortin, Martin; Ling, Shari M; Tai-Seale, Ming; Ralston, James D; Ritchie, Christine S; Zulman, Donna M
To inform the development of a data-driven measure of quality care for individuals with multiple chronic conditions (MCCs) derived from an electronic health record (EHR). Qualitative study using focus groups, interactive webinars, and a modified Delphi process. Research department within an integrated delivery system. The webinars and Delphi process included 17 experts in clinical geriatrics and primary care, health policy, quality assessment, health technology, and health system operations. The focus group included 10 individuals aged 70-87 with three to six chronic conditions selected from a random sample of individuals aged 65 and older with three or more chronic medical conditions. Through webinars and the focus group, input was solicited on constructs representing high-quality care for individuals with MCCs. A working list was created of potential measures representing these constructs. Using a modified Delphi process, experts rated the importance of each possible measure and the feasibility of implementing each measure using EHR data. High-priority constructs reflected processes rather than outcomes of care. High-priority constructs that were potentially feasible to measure included assessing physical function, depression screening, medication reconciliation, annual influenza vaccination, outreach after hospital admission, and documented advance directives. High-priority constructs that were less feasible to measure included goal setting and shared decision-making, identifying drug-drug interactions, assessing social support, timely communication with patients, and other aspects of good customer service. Lower-priority domains included pain assessment, continuity of care, and overuse of screening or laboratory testing. High-quality MCC care should be measured using meaningful process measures rather than outcomes. Although some care processes are currently extractable from electronic data, capturing others will require adapting and applying technology to
Marier, Allison; Olsho, Lauren E W; Rhodes, William; Spector, William D
Falls are physically and financially costly, but may be preventable with targeted intervention. The Minimum Data Set (MDS) is one potential source of information on fall risk factors among nursing home residents, but its limited breadth and relatively infrequent updates may limit its practical utility. Richer, more frequently updated data from electronic medical records (EMRs) may improve ability to identify individuals at highest risk for falls. The authors applied a repeated events survival model to analyze MDS 3.0 and EMR data for 5129 residents in 13 nursing homes within a single large California chain that uses a centralized EMR system from a leading vendor. Estimated regression parameters were used to project resident fall probability. The authors examined the proportion of observed falls within each projected fall risk decile to assess improvements in predictive power from including EMR data. In a model incorporating fall risk factors from the MDS only, 28.6% of observed falls occurred among residents in the highest projected risk decile. In an alternative specification incorporating more frequently updated measures for the same risk factors from the EMR data, 32.3% of observed falls occurred among residents in the highest projected risk decile, a 13% increase over the base MDS-only specification. Incorporating EMR data improves ability to identify those at highest risk for falls relative to prediction using MDS data alone. These improvements stem chiefly from the greater frequency with which EMR data are updated, with minimal additional gains from availability of additional risk factor variables. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: firstname.lastname@example.org.
Garvey, Thomas D; Evensen, Ann E
Importance: Patients with cervical cytology abnormalities may require surveillance for many years, which increases the risk of management error, especially in clinics with multiple managing clinicians. National Committee for Quality Assurance (NCQA) Patient-Centered Medical Home (PCMH) certification requires tracking of abnormal results and communicating effectively with patients. The purpose of this study was to determine whether a computer-based tracking system that is not embedded in the electronic medical record improves (1) accurate and timely communication of results and (2) patient adherence to follow-up recommendations. Design: Pre/post study using data from 2005-2012. Intervention implemented in 2008. Data collected via chart review for at least 18 months after index result. Participants: Pre-intervention: all women (N = 72) with first abnormal cytology result from 2005-2007. Post-intervention: all women (N = 128) with first abnormal cytology result from 2008-2010. Patients were seen at a suburban, university-affiliated, family medicine residency clinic. Intervention: Tracking spreadsheet reviewed monthly with reminders generated for patients not in compliance with recommendations. Main Outcome and Measures: (1) rates of accurate and timely communication of results and (2) rates of patient adherence to follow-up recommendations. Intervention decreased absent or erroneous communication from clinician to patient (6.4% pre- vs 1.6% post-intervention [P = 0.04]), but did not increase patient adherence to follow-up recommendations (76.1% pre- vs 78.0% post-intervention [ P= 0.78]). Use of a spreadsheet tracking system improved communication of abnormal results to patients, but did not significantly improve patient adherence to recommended care. Although the tracking system complies with NCQA PCMH requirements, it was insufficient to make meaningful improvements in patient-oriented outcomes.
Sally M. Ghanem
Full Text Available Medical imaging equipment (MIE is the baseline of providing patient diagnosis in healthcare facilities. However, that type of equipment poses high risk for patients, operators, and environment in terms of technology and application. Considering risk management in MIE management is rarely covered in literature. The study proposes a methodology that controls risks associated with MIE management. The methodology is based on proposing a set of key performance indicators (KPIs that lead to identify a set of undesired events (UDEs, and through a risk matrix, a risk level is evaluated. By using cloud computing software, risks could be controlled to be manageable. The methodology was verified by using a data set of 204 pieces of MIE along 104 hospitals, which belong to Egyptian Ministry of Health. Results point to appropriateness of proposed KPIs and UDEs in risk evaluation and control. Thus, the study reveals that optimizing risks taking into account the costs has an impact on risk control of MIE management.
Muhammad Faisal Siddiqui
Full Text Available A wide interest has been observed in the medical health care applications that interpret neuroimaging scans by machine learning systems. This research proposes an intelligent, automatic, accurate, and robust classification technique to classify the human brain magnetic resonance image (MRI as normal or abnormal, to cater down the human error during identifying the diseases in brain MRIs. In this study, fast discrete wavelet transform (DWT, principal component analysis (PCA, and least squares support vector machine (LS-SVM are used as basic components. Firstly, fast DWT is employed to extract the salient features of brain MRI, followed by PCA, which reduces the dimensions of the features. These reduced feature vectors also shrink the memory storage consumption by 99.5%. At last, an advanced classification technique based on LS-SVM is applied to brain MR image classification using reduced features. For improving the efficiency, LS-SVM is used with non-linear radial basis function (RBF kernel. The proposed algorithm intelligently determines the optimized values of the hyper-parameters of the RBF kernel and also applied k-fold stratified cross validation to enhance the generalization of the system. The method was tested by 340 patients' benchmark datasets of T1-weighted and T2-weighted scans. From the analysis of experimental results and performance comparisons, it is observed that the proposed medical decision support system outperformed all other modern classifiers and achieves 100% accuracy rate (specificity/sensitivity 100%/100%. Furthermore, in terms of computation time, the proposed technique is significantly faster than the recent well-known methods, and it improves the efficiency by 71%, 3%, and 4% on feature extraction stage, feature reduction stage, and classification stage, respectively. These results indicate that the proposed well-trained machine learning system has the potential to make accurate predictions about brain abnormalities
Lydon-Rochelle, Mona T; Gardella, Carolyn; Cárdenas, Vicky; Easterling, Thomas R
National surveillance estimates reported a troubling 63 percent decline in the rate of vaginal birth after cesarean delivery (VBAC) from 1996 (28.3%) to 2003 (10.6%), with subsequent rising rates of repeat cesarean delivery. The study objective was to examine patterns of documented indications for repeat cesarean delivery in women with and without labor. We conducted a population-based validation study of 19 nonfederal short-stay hospitals in Washington state. Of the 4,541 women who had live births in 2000, 11 percent (n = 493) had repeat cesarean without labor and 3 percent (n = 138) had repeat cesarean with labor. Incidence of medical conditions and pregnancy complications, patterns of documented indications for repeat cesarean delivery, and perioperative complications in relation to repeat cesarean delivery with and without labor were calculated. Of the 493 women who underwent a repeat cesarean delivery without labor, "elective"(36%) and "maternal request"(18%) were the most common indications. Indications for maternal medical conditions (3.0%) were uncommon. Among the 138 women with repeat cesarean delivery with labor, 60.1 percent had failure to progress, 24.6 percent a non-reassuring fetal heart rate, 8.0 percent cephalopelvic disproportion, and 7.2 percent maternal request during labor. Fetal indications were less common (5.8%). Breech, failed vacuum, abruptio placentae, maternal complications, and failed forceps were all indicated less than 5.0 percent. Women's perioperative complications did not vary significantly between women without and with labor. Regardless of a woman's labor status, nearly 10 percent of women with repeat cesarean delivery had no documented indication as to why a cesarean delivery was performed. "Elective" and "maternal request" were common indications among women undergoing repeat cesarean delivery without labor, and nearly 10 percent of women had undocumented indications for repeat cesarean delivery in their medical record
Sandhu, Amanjot; Fliker, Aviva; Leitao, Darren; Jones, Jodi; Gooi, Adrian
Live-streaming video has had increasing uses in medical education, especially in distributed education models. The literature on the impact of live-streaming in non-distributed education models, however, is scarce. To determine the attitudes towards live-streaming and recorded lectures as a resource to pre-clerkship medical students in a non-distributed medical education model. First and second year medical students were sent a voluntary cross-sectional survey by email, and were asked questions on live-streaming, recorded lectures and in person lectures using a 5-point Likert and open answers. Of the 118 responses (54% response rate), the data suggested that both watching recorded lectures (Likert 4.55) and live-streaming lectures (4.09) were perceived to be more educationally valuable than face-to-face attendance of lectures (3.60). While responses indicated a statistically significant increase in anticipated classroom attendance if both live-streaming and recorded lectures were removed (from 63% attendance to 76%, p =0.002), there was no significant difference in attendance if live-streaming lectures were removed but recorded lectures were maintained (from 63% to 66%, p=0.76). The addition of live-streaming lectures in the pre-clerkship setting was perceived to be value added to the students. The data also suggests that the removal of live-streaming lectures would not lead to a statistically significant increase in classroom attendance by pre-clerkship students.
Rusnak, James E.
The approach frequently used to introduce computer technology into a hospital Medical Records Department is to implement a Word Processing System. Word processing is a form of computer system application that is intended to improve the department's productivity by improving the medical information transcription process. The effectiveness of the Word Processing System may be further enhanced by installing system facilities to provide access to data processing file information in the Hospital's...
Full Text Available This is the third in a series of five papers about the use of computing technology in general practitioner (GP practices in Denmark and New Zealand. This paper looks at the environments within which electronic medical records (EMRs operate, including their functionality and the extent to which electronic communications are used to send and receive clinical information. It also introduces the notion of a longitudinal electronic health record (versus an EMR.
National Oceanic and Atmospheric Administration, Department of Commerce — Service Records and Retention System (SRRS) is historical digital data set DSI-9949, a collection of products created by the U.S. National Weather Service (NWS) and...
Wall, L L
Vesicovaginal fistula was a catastrophic complication of childbirth among 19th century American women. The first consistently successful operation for this condition was developed by Dr J Marion Sims, an Alabama surgeon who carried out a series of experimental operations on black slave women between 1845 and 1849. Numerous modern authors have attacked Sims's medical ethics, arguing that he manipulated the institution of slavery to perform ethically unacceptable human experiments on powerless, unconsenting women. This article reviews these allegations using primary historical source material and concludes that the charges that have been made against Sims are largely without merit. Sims's modern critics have discounted the enormous suffering experienced by fistula victims, have ignored the controversies that surrounded the introduction of anaesthesia into surgical practice in the middle of the 19th century, and have consistently misrepresented the historical record in their attacks on Sims. Although enslaved African American women certainly represented a "vulnerable population" in the 19th century American South, the evidence suggests that Sims's original patients were willing participants in his surgical attempts to cure their affliction-a condition for which no other viable therapy existed at that time.
Felsen, Uriel R; Cunningham, Chinazo O; Heo, Moonseong; Futterman, Donna C; Weiss, Jeffrey M; Zingman, Barry S
Routine HIV testing of hospitalized patients is recommended, but few strategies to expand testing in the hospital setting have been described. We assessed the impact of an electronic medical record (EMR) prompt on HIV testing for hospitalized patients. We performed a pre-post study at 3 hospitals in the Bronx, NY. We compared the proportion of admissions of patients 21-64 years old with an HIV test performed, characteristics of patients tested, and rate of new HIV diagnoses made by screening while an EMR prompt recommending HIV testing was inactive vs. active. The prompt appeared for patients with no previous HIV test or a high-risk diagnosis after their last HIV test. Among 36,610 admissions while the prompt was inactive, 9.5% had an HIV test performed. Among 18,943 admissions while the prompt was active, 21.8% had an HIV test performed. Admission while the prompt was active was associated with increased HIV testing among total admissions [adjusted odds ratio (aOR) 2.78, 95% confidence interval (CI): 2.62 to 2.96], those without a previous HIV test (aOR 4.03, 95% CI: 3.70 to 4.40), and those with a previous negative test (aOR 1.52, 95% CI: 1.37 to 1.68) (P diversification of patients tested, and an increase in diagnoses made by screening.
Full Text Available Electronic medical records (EMR form a rich repository of information that could benefit public health. We asked how structured and free-text narrative EMR data should be combined to improve epidemic surveillance for acute respiratory infections (ARI.Eight previously characterized ARI case detection algorithms (CDA were applied to historical EMR entries to create authentic time series of daily ARI case counts (background. An epidemic model simulated influenza cases (injection. From the time of the injection, cluster-detection statistics were applied daily on paired background+injection (combined and background-only time series. This cycle was then repeated with the injection shifted to each week of the evaluation year. We computed: a the time from injection to the first statistical alarm uniquely found in the combined dataset (Detection Delay; b how often alarms originated in the background-only dataset (false-alarm rate, or FAR; and c the number of cases found within these false alarms (Caseload. For each CDA, we plotted the Detection Delay as a function of FAR or Caseload, over a broad range of alarm thresholds.CDAs that combined text analyses seeking ARI symptoms in clinical notes with provider-assigned diagnostic codes in order to maximize the precision rather than the sensitivity of case-detection lowered Detection Delay at any given FAR or Caseload.An empiric approach can guide the integration of EMR data into case-detection methods that improve both the timeliness and efficiency of epidemic detection.
Catalán-Ramos, Arantxa; Verdú, Jose M; Grau, María; Iglesias-Rodal, Manuel; del Val García, José L; Consola, Alicia; Comin, Eva
To analyze the prevalence, control, and management of hypertension, hypercholesterolemia, and diabetes mellitus type 2 (DM2). Cross-sectional analysis of all individuals attended in the Catalan primary care centers between 2006 and 2009. History of cardiovascular diseases, diagnosis and treatment of hypertension, hypercholesterolemia, DM2, lipid profile, glycemia and blood pressure data were extracted from electronic medical records. Age-standardized prevalence and levels of management and control were estimated. Individuals aged 35-74 years using primary care databases. A total of 2,174,515 individuals were included (mean age 52 years [SD 11], 47% men). Hypertension was the most prevalent cardiovascular risk factor (39% in women, 41% in men) followed by hypercholesterolemia (38% and 40%) and DM2 (12% and 16%), respectively. Diuretics and angiotensin-converting enzyme inhibitors were most often prescribed for hypertension control (women treated). Hypercholesterolemia was controlled (low-density lipoprotein cholesterol women with no history of cardiovascular disease, despite lipid-lowering treatment, primarily (90%) with statins. The percentage of women and men with DM2 and with glycated hemoglobin DM2 were adequately controlled; hypercholesterolemia control was particularly low. Copyright © 2013 Elsevier España, S.L. All rights reserved.
Liu, Chung-Feng; Cheng, Tain-Junn; Chen, Chin-Tung
This paper proposes an integrated model for investigating how physicians' perceived individual and technology characteristics affect their technological stress (technostress) that is derived from using mobile electronic medical records (MEMRs). Individual characteristics comprise constructs of mobile self-efficacy and technology dependence, whereas perceived technology characteristics comprise constructs of perceived usefulness, complexity, and reliability. We employed the survey method to collect 158 valid questionnaires from physicians working at three branch hospitals to determine perceptions regarding MEMRs, yielding a response rate of 33.62%. Partial least squares, a structural equation modeling technique, was used for model examination and hypothesis testing. The results show that physicians have a low perception of MEMR dependence and technostress. Furthermore, physicians' perceived MEMR technology dependency, mobile self-efficacy, and complexity were proven to significantly affect physician technostress when using MEMRs, whereas perceived usefulness and reliability were not. The explanatory power of the research model reached 67.8%. The results of this study provide valuable insights and significant knowledge for technostress in health care, particularly from academic and practical perspectives.
Mills, Troy R; Vavroch, Jared; Bahensky, James A; Ward, Marcia M
The growth of electronic medical records (EMRs) is driven by the belief that EMRs will significantly improve healthcare providers' performance and reduce healthcare costs. Evidence supporting these beliefs is limited, especially for small rural hospitals. A survey that focused on health information technology (HIT) capacity was administered to all hospitals in Iowa. Structured interviews were conducted with the leadership at 15 critical access hospitals (CAHs) that had implemented EMRs in order to assess the perceived benefits of operational EMRs. The results indicate that most of the hospitals implemented EMRs to improve efficiency, timely access, and quality. Many CAH leaders also viewed EMR implementation as a necessary business strategy to remain viable and improve financial performance. While some reasons reflect external influences, such as perceived future federal mandates, other reasons suggest that the decision was driven by internal forces, including the hospital's culture and the desires of key leaders to embrace HIT. Anticipated benefits were consistent with goals; however, realized benefits were rarely obvious in terms of quantifiable results. These findings expand the limited research on the rationale for implementing EMRs in critical access hospitals.
Saad, Emanuel José; Bedini, Marianela; Becerra, Ana Florencia; Martini, Gustavo Daniel; Gonzalez, Jacqueline Griselda; Bolomo, Andrea; Castellani, Luciana; Quiroga, Silvana; Morales, Cristian; Leathers, James; Balderramo, Domingo; Albertini, Ricardo Arturo
The use of stress ulcer prophylaxis (SUP) has risen in recent years, even in patients without a clear indication for therapy. To evaluate the efficacy of an electronic medical record (EMR)-based alarm to improve appropriate SUP use in hospitalized patients. We conducted an uncontrolled before-after study comparing SUP prescription in intensive care unit (ICU) patients and non-ICU patients, before and after the implementation of an EMR-based alarm that provided the correct indications for SUP. 1627 patients in the pre-intervention and 1513 patients in the post-intervention cohorts were included. The EMR-based alarm improved appropriate (49.6% vs. 66.6%, p<0.001) and reduced inappropriate SUP use (50.4% vs. 33.3%, p<0.001) in ICU patients only. These differences were related to the optimization of SUP in low risk patients. There was no difference in overt gastrointestinal bleeding between the two cohorts. Unjustified costs related to SUP were reduced by a third after EMR-based alarm use. The use of an EMR-based alarm improved appropriate and reduced inappropriate use of SUP in ICU patients. This benefit was limited to optimization in low risk patients and associated with a decrease in SUP costs. Copyright © 2018 Elsevier España, S.L.U. All rights reserved.
Blosnich, John R; Cashy, John; Gordon, Adam J; Shipherd, Jillian C; Kauth, Michael R; Brown, George R; Fine, Michael J
Transgender individuals are vulnerable to negative health risks and outcomes, but research remains limited because data sources, such as electronic medical records (EMRs), lack standardized collection of gender identity information. Most EMR do not include the gold standard of self-identified gender identity, but International Classification of Diseases (ICDs) includes diagnostic codes indicating transgender-related clinical services. However, it is unclear if these codes can indicate transgender status. The objective of this study was to determine the extent to which patients' clinician notes in EMR contained transgender-related terms that could corroborate ICD-coded transgender identity. Data are from the US Department of Veterans Affairs Corporate Data Warehouse. Transgender patients were defined by the presence of ICD9 and ICD10 codes associated with transgender-related clinical services, and a 3:1 comparison group of nontransgender patients was drawn. Patients' clinician text notes were extracted and searched for transgender-related words and phrases. Among 7560 patients defined as transgender based on ICD codes, the search algorithm identified 6753 (89.3%) with transgender-related terms. Among 22 072 patients defined as nontransgender without ICD codes, 246 (1.1%) had transgender-related terms; after review, 11 patients were identified as transgender, suggesting a 0.05% false negative rate. Using ICD-defined transgender status can facilitate health services research when self-identified gender identity data are not available in EMR.
Malhotra, Ashutosh; Gündel, Michaela; Rajput, Abdul Mateen; Mevissen, Heinz-Theodor; Saiz, Albert; Pastor, Xavier; Lozano-Rubi, Raimundo; Martinez-Lapiscina, Elena H; Martinez-Lapsicina, Elena H; Zubizarreta, Irati; Mueller, Bernd; Kotelnikova, Ekaterina; Toldo, Luca; Hofmann-Apitius, Martin; Villoslada, Pablo
In order to retrieve useful information from scientific literature and electronic medical records (EMR) we developed an ontology specific for Multiple Sclerosis (MS). The MS Ontology was created using scientific literature and expert review under the Protégé OWL environment. We developed a dictionary with semantic synonyms and translations to different languages for mining EMR. The MS Ontology was integrated with other ontologies and dictionaries (diseases/comorbidities, gene/protein, pathways, drug) into the text-mining tool SCAIView. We analyzed the EMRs from 624 patients with MS using the MS ontology dictionary in order to identify drug usage and comorbidities in MS. Testing competency questions and functional evaluation using F statistics further validated the usefulness of MS ontology. Validation of the lexicalized ontology by means of named entity recognition-based methods showed an adequate performance (F score = 0.73). The MS Ontology retrieved 80% of the genes associated with MS from scientific abstracts and identified additional pathways targeted by approved disease-modifying drugs (e.g. apoptosis pathways associated with mitoxantrone, rituximab and fingolimod). The analysis of the EMR from patients with MS identified current usage of disease modifying drugs and symptomatic therapy as well as comorbidities, which are in agreement with recent reports. The MS Ontology provides a semantic framework that is able to automatically extract information from both scientific literature and EMR from patients with MS, revealing new pathogenesis insights as well as new clinical information.
Asche, Carl; Said, Quayyim; Joish, Vijay; Hall, Charles Oaxaca; Brixner, Diana
The technology and sophistication of healthcare utilization databases have expanded over the last decade to include results of lab tests, vital signs, and other clinical information. This review provides an assessment of the methodological and analytical challenges of conducting chronic obstructive pulmonary disease (COPD) outcomes research in a national electronic medical records (EMR) dataset and its potential application towards the assessment of national health policy issues, as well as a description of the challenges or limitations. An EMR database and its application to measuring outcomes for COPD are described. The ability to measure adherence to the COPD evidence-based practice guidelines, generated by the NIH and HEDIS quality indicators, in this database was examined. Case studies, before and after their publication, were used to assess the adherence to guidelines and gauge the conformity to quality indicators. EMR was the only source of information for pulmonary function tests, but low frequency in ordering by primary care was an issue. The EMR data can be used to explore impact of variation in healthcare provision on clinical outcomes. The EMR database permits access to specific lab data and biometric information. The richness and depth of information on "real world" use of health services for large population-based analytical studies at relatively low cost render such databases an attractive resource for outcomes research. Various sources of information exist to perform outcomes research. It is important to understand the desired endpoints of such research and choose the appropriate database source.
Hwang, Hsin-Ginn; Han, Hwai-En; Kuo, Kuang-Ming; Liu, Chung-Feng
This study explores whether Internet users have different privacy concerns regarding the information contained in electronic medical records (EMRs) according to gender, age, occupation, education, and EMR awareness. Based on the Concern for Information Privacy (CFIP) scale developed by Smith and colleagues in 1996, we conducted an online survey using 15 items in four dimensions, namely, collection, unauthorized access, secondary use, and errors, to investigate Internet users' concerns regarding the privacy of EMRs under health information exchanges (HIE). We retrieved 213 valid questionnaires. The results indicate that the respondents had substantial privacy concerns regarding EMRs and their educational level and EMR awareness significantly influenced their privacy concerns regarding unauthorized access and secondary use of EMRs. This study recommends that the Taiwanese government organizes a comprehensive EMR awareness campaign, emphasizing unauthorized access and secondary use of EMRs. Additionally, to cultivate the public's understanding of EMRs, the government should employ various media, especially Internet channels, to promote EMR awareness, thereby enabling the public to accept the concept and use of EMRs. People who are highly educated and have superior EMR awareness should be given a comprehensive explanation of how hospitals protect patients' EMRs from unauthorized access and secondary use to address their concerns. Thus, the public can comprehend, trust, and accept the use of EMRs, reducing their privacy concerns, which should facilitate the future implementation of HIE.
Geijer, M.; Ivarsson, L.; Gothlin, J.H.
Objective. Between one-third and half of all radiology examinations worldwide are probably chest studies. The aim of the current study was to retrospectively evaluate the clinical influence of chest radiography. Methods. In a tertiary referral hospital, 939 consecutive daytime chest radiography examinations were evaluated. The outcome was classified as normal, incidental, or pathologic. The referring physicians reaction to radiologic outcome was classified as highly expected, moderately expected, or unexpected. The influence on the patients' treatment was divided into four groups from major to no influence. Results. In all, 71.6% of the studies had a highly expected outcome. Moderately expected or unexpected outcomes were noted in 36.6% of 500 pathologic examinations. Unexpected outcome was noted in 11.6% of all studies. The radiologic outcome influenced treatment in 65.4% of patients where pathology was demonstrated. Patients with normal or incidental findings had treatment influenced in 1/3 of the cases. Unexpected findings influenced treatment more than moderately expected findings. When radiological findings were highly expected, treatment was influenced in less than half of the cases. Surprisingly few chest radiology examinations were commented upon in the medical records
Neil R Kudler
Full Text Available Background: Laboratory data account for the bulk of data stored in any given electronic medical record (EMR. To best serve the user, electronic laboratory data needs to be flexible and customizable. Our aim was to determine the various ways in which laboratory data get utilized by clinicians in our health system′s EMR. Method: All electronic menus, tabs, flowsheets, notes and subsections within the EMR (Millennium v2007.13, Cerner Corporation, Kansas City, MO, US were explored to determine how clinicians utilize discrete laboratory data. Results: Laboratory data in the EMR were utilized by clinicians in five distinct ways: within flowsheets, their personal inbox (EMR messaging, with decision support tools, in the health maintenance tool, and when incorporating laboratory data into their clinical notes and letters. Conclusions : Flexible electronic laboratory data in the EMR hava many advantages. Users can view, sort, pool, and appropriately route laboratory information to better support trend analyses, clinical decision making, and clinical charting. Laboratory data in the EMR can also be utilized to develop clinical decision support tools. Pathologists need to participate in the creation of these EMR tools in order to better support the appropriate utilization of laboratory information in the EMR.