Developing EHR-driven heart failure risk prediction models using CPXR(Log) with the probabilistic loss function.

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Taslimitehrani, Vahid; Dong, Guozhu; Pereira, Naveen L; Panahiazar, Maryam; Pathak, Jyotishman

2016-04-01

Computerized survival prediction in healthcare identifying the risk of disease mortality, helps healthcare providers to effectively manage their patients by providing appropriate treatment options. In this study, we propose to apply a classification algorithm, Contrast Pattern Aided Logistic Regression (CPXR(Log)) with the probabilistic loss function, to develop and validate prognostic risk models to predict 1, 2, and 5year survival in heart failure (HF) using data from electronic health records (EHRs) at Mayo Clinic. The CPXR(Log) constructs a pattern aided logistic regression model defined by several patterns and corresponding local logistic regression models. One of the models generated by CPXR(Log) achieved an AUC and accuracy of 0.94 and 0.91, respectively, and significantly outperformed prognostic models reported in prior studies. Data extracted from EHRs allowed incorporation of patient co-morbidities into our models which helped improve the performance of the CPXR(Log) models (15.9% AUC improvement), although did not improve the accuracy of the models built by other classifiers. We also propose a probabilistic loss function to determine the large error and small error instances. The new loss function used in the algorithm outperforms other functions used in the previous studies by 1% improvement in the AUC. This study revealed that using EHR data to build prediction models can be very challenging using existing classification methods due to the high dimensionality and complexity of EHR data. The risk models developed by CPXR(Log) also reveal that HF is a highly heterogeneous disease, i.e., different subgroups of HF patients require different types of considerations with their diagnosis and treatment. Our risk models provided two valuable insights for application of predictive modeling techniques in biomedicine: Logistic risk models often make systematic prediction errors, and it is prudent to use subgroup based prediction models such as those given by CPXR

Advanced Proficiency EHR Training: Effect on Physicians’ EHR Efficiency, EHR Satisfaction and Job Satisfaction

Science.gov (United States)

Dastagir, M. Tariq; Chin, Homer L.; McNamara, Michael; Poteraj, Kathy; Battaglini, Sarah; Alstot, Lauren

2012-01-01

The best way to train clinicians to optimize their use of the Electronic Health Record (EHR) remains unclear. Approaches range from web-based training, class-room training, EHR functionality training, case-based training, role-based training, process-based training, mock-clinic training and “on the job” training. Similarly, the optimal timing of training remains unclear--whether to engage in extensive pre go-live training vs. minimal pre go-live training followed by more extensive post go-live training. In addition, the effectiveness of non-clinician trainers, clinician trainers, and peer-trainers, remains unclearly defined. This paper describes a program in which relatively experienced clinician users of an EHR underwent an intensive 3-day Peer-Led EHR advanced proficiency training, and the results of that training based on participant surveys. It highlights the effectiveness of Peer-Led Proficiency Training of existing experienced clinician EHR users in improving self-reported efficiency and satisfaction with an EHR and improvements in perceived work-life balance and job satisfaction. PMID:23304282

Advanced proficiency EHR training: effect on physicians' EHR efficiency, EHR satisfaction and job satisfaction.

Science.gov (United States)

Dastagir, M Tariq; Chin, Homer L; McNamara, Michael; Poteraj, Kathy; Battaglini, Sarah; Alstot, Lauren

2012-01-01

The best way to train clinicians to optimize their use of the Electronic Health Record (EHR) remains unclear. Approaches range from web-based training, class-room training, EHR functionality training, case-based training, role-based training, process-based training, mock-clinic training and "on the job" training. Similarly, the optimal timing of training remains unclear--whether to engage in extensive pre go-live training vs. minimal pre go-live training followed by more extensive post go-live training. In addition, the effectiveness of non-clinician trainers, clinician trainers, and peer-trainers, remains unclearly defined. This paper describes a program in which relatively experienced clinician users of an EHR underwent an intensive 3-day Peer-Led EHR advanced proficiency training, and the results of that training based on participant surveys. It highlights the effectiveness of Peer-Led Proficiency Training of existing experienced clinician EHR users in improving self-reported efficiency and satisfaction with an EHR and improvements in perceived work-life balance and job satisfaction.

Importance-Satisfaction Analysis for Primary Care Physicians’ Perspective on EHRs in Taiwan

Directory of Open Access Journals (Sweden)

Cheng-Hsun Ho

2014-06-01

Full Text Available The Taiwan government has been promoting Electronic Health Records (EHRs to primary care physicians. How to extend EHRs adoption rate by measuring physicians’ perspective of importance and performance of EHRs has become one of the critical issues for healthcare organizations. We conducted a comprehensive survey in 2010 in which a total of 1034 questionnaires which were distributed to primary care physicians. The project was sponsored by the Department of Health to accelerate the adoption of EHRs. 556 valid responses were analyzed resulting in a valid response rate of 53.77%. The data were analyzed based on a data-centered analytical framework (5-point Likert scale. The mean of importance and satisfaction of four dimensions were 4.16, 3.44 (installation and maintenance, 4.12, 3.51 (product effectiveness, 4.10, 3.31 (system function and 4.34, 3.70 (customer service respectively. This study provided a direction to government by focusing on attributes which physicians found important but were dissatisfied with, to close the gap between actual and expected performance of the EHRs. The authorities should emphasize the potential advantages in meaningful use and provide training programs, conferences, technical assistance and incentives to enhance the national level implementation of EHRs for primary physicians.

Medicare and Medicaid programs; modifications to the Medicare and Medicaid Electronic Health Record (EHR) Incentive Program for 2014 and other changes to EHR Incentive Program; and health information technology: revision to the certified EHR technology definition and EHR certification changes related to standards. Final rule.

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2014-09-04

This final rule changes the meaningful use stage timeline and the definition of certified electronic health record technology (CEHRT) to allow options in the use of CEHRT for the EHR reporting period in 2014. It also sets the requirements for reporting on meaningful use objectives and measures as well as clinical quality measure (CQM) reporting in 2014 for providers who use one of the CEHRT options finalized in this rule for their EHR reporting period in 2014. In addition, it finalizes revisions to the Medicare and Medicaid EHR Incentive Programs to adopt an alternate measure for the Stage 2 meaningful use objective for hospitals to provide structured electronic laboratory results to ambulatory providers; to correct the regulation text for the measures associated with the objective for hospitals to provide patients the ability to view online, download, and transmit information about a hospital admission; and to set a case number threshold exemption for CQM reporting applicable for eligible hospitals and critical access hospitals (CAHs) beginning with FY 2013. Finally, this rule finalizes the provisionally adopted replacement of the Data Element Catalog (DEC) and the Quality Reporting Document Architecture (QRDA) Category III standards with updated versions of these standards.

Predicting frequent emergency department visits among children with asthma using EHR data.

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Das, Lala T; Abramson, Erika L; Stone, Anne E; Kondrich, Janienne E; Kern, Lisa M; Grinspan, Zachary M

2017-07-01

For children with asthma, emergency department (ED) visits are common, expensive, and often avoidable. Though several factors are associated with ED use (demographics, comorbidities, insurance, medications), its predictability using electronic health record (EHR) data is understudied. We used a retrospective cohort study design and EHR data from one center to examine the relationship of patient factors in 1 year (2013) and the likelihood of frequent ED use (≥2 visits) in the following year (2014), using bivariate and multivariable statistics. We applied and compared several machine-learning algorithms to predict frequent ED use, then selected a model based on accuracy, parsimony, and interpretability. We identified 2691 children. In bivariate analyses, future frequent ED use was associated with demographics, co-morbidities, insurance status, medication history, and use of healthcare resources. Machine learning algorithms had very good AUC (area under the curve) values [0.66-0.87], though fair PPV (positive predictive value) [48-70%] and poor sensitivity [16-27%]. Our final multivariable logistic regression model contained two variables: insurance status and prior ED use. For publicly insured patients, the odds of frequent ED use were 3.1 [2.2-4.5] times that of privately insured patients. Publicly insured patients with 4+ ED visits and privately insured patients with 6+ ED visits in a year had ≥50% probability of frequent ED use the following year. The model had an AUC of 0.86, PPV of 56%, and sensitivity of 23%. Among children with asthma, prior frequent ED use and insurance status strongly predict future ED use. © 2017 Wiley Periodicals, Inc.

Imminent adopters of electronic health records in ambulatory care

Directory of Open Access Journals (Sweden)

Rainu Kaushal

2009-03-01

Conclusions Imminent adopters of EHRs differed from users and non-users. Financial considerations appear to play a major role in adoption decisions. Knowledge of these differences may assist policymakers and healthcare leaders as they work to increase EHR adoption rates.

Importance-Satisfaction Analysis for Primary Care Physicians’ Perspective on EHRs in Taiwan †

Science.gov (United States)

Ho, Cheng-Hsun; Wen, Hsyien-Chia; Chu, Chi-Ming; Wu, Yi-Syuan; Wang, Jen-Leng

2014-01-01

The Taiwan government has been promoting Electronic Health Records (EHRs) to primary care physicians. How to extend EHRs adoption rate by measuring physicians’ perspective of importance and performance of EHRs has become one of the critical issues for healthcare organizations. We conducted a comprehensive survey in 2010 in which a total of 1034 questionnaires which were distributed to primary care physicians. The project was sponsored by the Department of Health to accelerate the adoption of EHRs. 556 valid responses were analyzed resulting in a valid response rate of 53.77%. The data were analyzed based on a data-centered analytical framework (5-point Likert scale). The mean of importance and satisfaction of four dimensions were 4.16, 3.44 (installation and maintenance), 4.12, 3.51 (product effectiveness), 4.10, 3.31 (system function) and 4.34, 3.70 (customer service) respectively. This study provided a direction to government by focusing on attributes which physicians found important but were dissatisfied with, to close the gap between actual and expected performance of the EHRs. The authorities should emphasize the potential advantages in meaningful use and provide training programs, conferences, technical assistance and incentives to enhance the national level implementation of EHRs for primary physicians. PMID:24914640

Representing knowledge, data and concepts for EHRS using DCM.

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Goossen, William

2011-01-01

With the move towards next generations of Electronic Health Record Systems (EHRS), the focus changes from administrative and data retrieval and data entry system capabilities towards clinical functions. The representation of the clinical knowledge and evidence base into EHRS becomes an important asset for health care, with its own challenges. Clinician's do want EHRS support but do not want to standardize care, they do want unified terminology and structured data entry but also free text. In addition, information modelers challenge each other for the best solution, and care pathways and other workflows seem to differ for each situation. Such diverging approaches add complexity to the already difficult situation around Information Technology in health care, the EHRS in particular. This paper argues that a change is necessary to adopt Detailed Clinical Modeling as a method to organize clinical knowledge, represent concepts and define data in such a manner that it allows for semantics to be exchanged without being trapped in a specific technology. DCM help to fulfill the requirements for the enter data once, reuse multiple times paradigm for EHRS.

Exploring the business case for ambulatory electronic health record system adoption.

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Song, Paula H; McAlearney, Ann Scheck; Robbins, Julie; McCullough, Jeffrey S

2011-01-01

Widespread implementation and use of electronic health record (EHR) systems has been recognized by healthcare leaders as a cornerstone strategy for systematically reducing medical errors and improving clinical quality. However, EHR adoption requires a significant capital investment for healthcare providers, and cost is often cited as a barrier. Despite the capital requirements, a true business case for EHR system adoption and implementation has not been made. This is of concern, as the lack of a business case can influence decision making about EHR investments. The purpose of this study was to examine the role of business case analysis in healthcare organizations' decisions to invest in ambulatory EHR systems, and to identify what factors organizations considered when justifying an ambulatory EHR. Using a qualitative case study approach, we explored how five organizations that are considered to have best practices in ambulatory EHR system implementation had evaluated the business case for EHR adoption. We found that although the rigor of formal business case analysis was highly variable, informants across these organizations consistently reported perceiving that a positive business case for EHR system adoption existed, especially when they considered both financial and non-financial benefits. While many consider EHR system adoption inevitable in healthcare, this viewpoint should not deter managers from conducting a business case analysis. Results of such an analysis can inform healthcare organizations' understanding about resource allocation needs, help clarify expectations about financial and clinical performance metrics to be monitored through EHR systems, and form the basis for ongoing organizational support to ensure successful system implementation.

Electronic health records and patient safety: co-occurrence of early EHR implementation with patient safety practices in primary care settings.

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Tanner, C; Gans, D; White, J; Nath, R; Pohl, J

2015-01-01

The role of electronic health records (EHR) in enhancing patient safety, while substantiated in many studies, is still debated. This paper examines early EHR adopters in primary care to understand the extent to which EHR implementation is associated with the workflows, policies and practices that promote patient safety, as compared to practices with paper records. Early adoption is defined as those who were using EHR prior to implementation of the Meaningful Use program. We utilized the Physician Practice Patient Safety Assessment (PPPSA) to compare primary care practices with fully implemented EHR to those utilizing paper records. The PPPSA measures the extent of adoption of patient safety practices in the domains: medication management, handoffs and transition, personnel qualifications and competencies, practice management and culture, and patient communication. Data from 209 primary care practices responding between 2006-2010 were included in the analysis: 117 practices used paper medical records and 92 used an EHR. Results showed that, within all domains, EHR settings showed significantly higher rates of having workflows, policies and practices that promote patient safety than paper record settings. While these results were expected in the area of medication management, EHR use was also associated with adoption of patient safety practices in areas in which the researchers had no a priori expectations of association. Sociotechnical models of EHR use point to complex interactions between technology and other aspects of the environment related to human resources, workflow, policy, culture, among others. This study identifies that among primary care practices in the national PPPSA database, having an EHR was strongly empirically associated with the workflow, policy, communication and cultural practices recommended for safe patient care in ambulatory settings.

Electronic health record adoption in US hospitals: the emergence of a digital "advanced use" divide.

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Adler-Milstein, Julia; Holmgren, A Jay; Kralovec, Peter; Worzala, Chantal; Searcy, Talisha; Patel, Vaishali

2017-11-01

While most hospitals have adopted electronic health records (EHRs), we know little about whether hospitals use EHRs in advanced ways that are critical to improving outcomes, and whether hospitals with fewer resources - small, rural, safety-net - are keeping up. Using 2008-2015 American Hospital Association Information Technology Supplement survey data, we measured "basic" and "comprehensive" EHR adoption among hospitals to provide the latest national numbers. We then used new supplement questions to assess advanced use of EHRs and EHR data for performance measurement and patient engagement functions. To assess a digital "advanced use" divide, we ran logistic regression models to identify hospital characteristics associated with high adoption in each advanced use domain. We found that 80.5% of hospitals adopted at least a basic EHR system, a 5.3 percentage point increase from 2014. Only 37.5% of hospitals adopted at least 8 (of 10) EHR data for performance measurement functions, and 41.7% of hospitals adopted at least 8 (of 10) patient engagement functions. Critical access hospitals were less likely to have adopted at least 8 performance measurement functions (odds ratio [OR] = 0.58; P functions (OR = 0.68; P = 0.02). While the Health Information Technology for Economic and Clinical Health Act resulted in widespread hospital EHR adoption, use of advanced EHR functions lags and a digital divide appears to be emerging, with critical-access hospitals in particular lagging behind. This is concerning, because EHR-enabled performance measurement and patient engagement are key contributors to improving hospital performance. Hospital EHR adoption is widespread and many hospitals are using EHRs to support performance measurement and patient engagement. However, this is not happening across all hospitals. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions

Rate of electronic health record adoption in South Korea: A nation-wide survey.

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Kim, Young-Gun; Jung, Kyoungwon; Park, Young-Taek; Shin, Dahye; Cho, Soo Yeon; Yoon, Dukyong; Park, Rae Woong

2017-05-01

The adoption rate of electronic health record (EHR) systems in South Korea has continuously increased. However, in contrast to the situation in the United States (US), where there has been a national effort to improve and standardize EHR interoperability, no consensus has been established in South Korea. The goal of this study was to determine the current status of EHR adoption in South Korean hospitals compared to that in the US. All general and tertiary teaching hospitals in South Korea were surveyed regarding their EHR status in 2015 with the same questionnaire as used previously. The survey form estimated the level of adoption of EHR systems according to 24 core functions in four categories (clinical documentation, result view, computerized provider order entry, and decision supports). The adoption level was classified into comprehensive and basic EHR systems according to their functionalities. EHRs and computerized physician order entry systems were used in 58.1% and 86.0% of South Korean hospitals, respectively. Decision support systems and problem list documentation were the functions most frequently missing from comprehensive and basic EHR systems. The main barriers cited to adoption of EHR systems were the cost of purchasing (48%) and the ongoing cost of maintenance (11%). The EHR adoption rate in Korean hospitals (37.2%) was higher than that in US hospitals in 2010 (15.1%), but this trend was reversed in 2015 (58.1% vs. 75.2%). The evidence suggests that these trends were influenced by the level of financial and political support provided to US hospitals after the HITECH Act was passed in 2009. The EHR adoption rate in Korea has increased, albeit more slowly than in the US. It is logical to suggest that increased funding and support tied to the HITECH Act in the US partly explains the difference in the adoption rates of EHRs in both countries. Copyright © 2017 Elsevier B.V. All rights reserved.

Why sub-Saharan Africa lags in electronic health record adoption and possible strategies to increase its adoption in this region

OpenAIRE

Odekunle, Florence Femi; Odekunle, Raphael Oluseun; Shankar, Srinivasan

2017-01-01

Poor health information system has been identified as a major challenge in the health-care system in many developing countries including sub-Saharan African countries. Electronic health record (EHR) has been shown as an important tool to improve access to patient information with attendance improved quality of care. However, EHR has not been widely implemented/adopted in sub-Saharan Africa. This study sought to identify factors that affect the adoption of an EHR in sub-Saharan Africa and stra...

Archetype-based conversion of EHR content models: pilot experience with a regional EHR system

Science.gov (United States)

2009-01-01

Background Exchange of Electronic Health Record (EHR) data between systems from different suppliers is a major challenge. EHR communication based on archetype methodology has been developed by openEHR and CEN/ISO. The experience of using archetypes in deployed EHR systems is quite limited today. Currently deployed EHR systems with large user bases have their own proprietary way of representing clinical content using various models. This study was designed to investigate the feasibility of representing EHR content models from a regional EHR system as openEHR archetypes and inversely to convert archetypes to the proprietary format. Methods The openEHR EHR Reference Model (RM) and Archetype Model (AM) specifications were used. The template model of the Cambio COSMIC, a regional EHR product from Sweden, was analyzed and compared to the openEHR RM and AM. This study was focused on the convertibility of the EHR semantic models. A semantic mapping between the openEHR RM/AM and the COSMIC template model was produced and used as the basis for developing prototype software that performs automated bi-directional conversion between openEHR archetypes and COSMIC templates. Results Automated bi-directional conversion between openEHR archetype format and COSMIC template format has been achieved. Several archetypes from the openEHR Clinical Knowledge Repository have been imported into COSMIC, preserving most of the structural and terminology related constraints. COSMIC templates from a large regional installation were successfully converted into the openEHR archetype format. The conversion from the COSMIC templates into archetype format preserves nearly all structural and semantic definitions of the original content models. A strategy of gradually adding archetype support to legacy EHR systems was formulated in order to allow sharing of clinical content models defined using different formats. Conclusion The openEHR RM and AM are expressive enough to represent the existing clinical

Archetype-based conversion of EHR content models: pilot experience with a regional EHR system

Directory of Open Access Journals (Sweden)

Karlsson Daniel

2009-07-01

Full Text Available Abstract Background Exchange of Electronic Health Record (EHR data between systems from different suppliers is a major challenge. EHR communication based on archetype methodology has been developed by openEHR and CEN/ISO. The experience of using archetypes in deployed EHR systems is quite limited today. Currently deployed EHR systems with large user bases have their own proprietary way of representing clinical content using various models. This study was designed to investigate the feasibility of representing EHR content models from a regional EHR system as openEHR archetypes and inversely to convert archetypes to the proprietary format. Methods The openEHR EHR Reference Model (RM and Archetype Model (AM specifications were used. The template model of the Cambio COSMIC, a regional EHR product from Sweden, was analyzed and compared to the openEHR RM and AM. This study was focused on the convertibility of the EHR semantic models. A semantic mapping between the openEHR RM/AM and the COSMIC template model was produced and used as the basis for developing prototype software that performs automated bi-directional conversion between openEHR archetypes and COSMIC templates. Results Automated bi-directional conversion between openEHR archetype format and COSMIC template format has been achieved. Several archetypes from the openEHR Clinical Knowledge Repository have been imported into COSMIC, preserving most of the structural and terminology related constraints. COSMIC templates from a large regional installation were successfully converted into the openEHR archetype format. The conversion from the COSMIC templates into archetype format preserves nearly all structural and semantic definitions of the original content models. A strategy of gradually adding archetype support to legacy EHR systems was formulated in order to allow sharing of clinical content models defined using different formats. Conclusion The openEHR RM and AM are expressive enough to

EHR Learning - It's about Nursing, Leadership and Long-Term Commitments.

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Furlong, Karen E

2016-01-01

Despite a global commitment to the adoption of technologies, such as electronic health records (EHRs), to support the delivery of health services, there is little empirical guidance to support effective planning for the integration of these tools into practice settings (Suter et al. 2009). In particular, although EHR learning is known to positively influence integration (Byrne 2012), individual perspectives are often overlooked because of investigative designs that devalue such viewpoints by exploring the utility of technologies rather than the lived experiences of individual users of the technology. Therefore, this qualitative study offered nurse participants opportunities to make sense of EHR learning through talking about their experiences. This narrative inquiry was a collaborative interpretive method of discovery: stories and thematic analysis were the two separate yet complementary frames used to support data analysis. Finally, several practice implications and recommendations about EHR learning are presented with an emphasis placed upon patient safety as a way to impart accountability on behalf of learners, educators and those charged with governing responsibilities during times of EHR integration. Copyright © 2016 Longwoods Publishing.

Same organization, same electronic health records (EHRs) system, different use: exploring the linkage between practice member communication patterns and EHR use patterns in an ambulatory care setting

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Leykum, Luci K; McDaniel, Reuben R

2011-01-01

respectful interaction, whereas practices that were furthest from achieving standardized EHR use exhibited low levels of mindfulness and respectful interaction. Conclusion Within-practice communication patterns provide a unique perspective for exploring the issue of standardization in EHR use. A major fallacy of setting homogeneous EHR use as the goal for practice-level EHR use is that practices with uniformly low EHR use could be considered successful. Achieving uniformly high EHR use across all users in a practice is more consistent with the goals of current EHR adoption and use efforts. It was found that some communication patterns among practice members may enable more standardized EHR use than others. Understanding the linkage between communication patterns and EHR use can inform understanding of the human element in EHR use and may provide key lessons for the implementation of EHRs and other health information technologies. PMID:21846780

Same organization, same electronic health records (EHRs) system, different use: exploring the linkage between practice member communication patterns and EHR use patterns in an ambulatory care setting.

Science.gov (United States)

Lanham, Holly Jordan; Leykum, Luci K; McDaniel, Reuben R

2012-01-01

were furthest from achieving standardized EHR use exhibited low levels of mindfulness and respectful interaction. Within-practice communication patterns provide a unique perspective for exploring the issue of standardization in EHR use. A major fallacy of setting homogeneous EHR use as the goal for practice-level EHR use is that practices with uniformly low EHR use could be considered successful. Achieving uniformly high EHR use across all users in a practice is more consistent with the goals of current EHR adoption and use efforts. It was found that some communication patterns among practice members may enable more standardized EHR use than others. Understanding the linkage between communication patterns and EHR use can inform understanding of the human element in EHR use and may provide key lessons for the implementation of EHRs and other health information technologies.

Environmental market factors associated with electronic health record adoption among cancer hospitals.

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Tarver, Will L; Menachemi, Nir

2017-02-22

Although recent literature has explored the relationship between various environmental market characteristics and the adoption of electronic health records (EHRs) among general, acute care hospitals, no such research currently exists for specialty hospitals, including those providing cancer care. The aim of the study was to examine the relationship between market characteristics and the adoption of EHRs among Commission on Cancer (CoC)-accredited hospitals. Secondary data on EHR adoption combined with hospital and environmental market characteristics were analyzed using logistic regression. Using the resource dependence theory, we examined how measures of munificence, complexity, and dynamism are related to the adoption of EHRs among CoC-accredited hospitals and, separately, hospitals not CoC-accredited. In a sample of 2,670 hospitals, 141 (0.05%) were academic-based CoC-accredited hospitals and 562 (21%) were community-based CoC-accredited hospitals. Measures of munificence such as cancer incidence rates (OR = 0.99, CI [0.99, 1.00], p = .020) and percentage population aged 65+ (OR = 0.99, CI [0.99, 1.00], p = .001) were negatively associated with basic EHR adoption, whereas urban location was positively associated with comprehensive EHR adoption (OR = 3.07, CI [0.89, 10.61], p = .076) for community-based CoC-accredited hospitals. Measures of complexity such as hospitals in areas with less competition were less likely to adopt a basic EHR (OR = 0.33, CI [0.19, 0.96], p = .005), whereas Medicare Managed Care penetration was positively associated with comprehensive EHR adoption (OR = 1.02, CI [1.00, 1.05], p = .070) among community-based CoC-accredited hospitals. Lastly, dynamism, measured as population change, was negatively associated with the adoption of comprehensive EHRs (OR = 0.99, CI [0.99, 1.00], p = .070) among academic-based CoC-accredited hospitals. A greater understanding of the environment's relationship to health information technology adoption in

Multi-level analysis of electronic health record adoption by health care professionals: A study protocol

Directory of Open Access Journals (Sweden)

Labrecque Michel

2010-04-01

Full Text Available Abstract Background The electronic health record (EHR is an important application of information and communication technologies to the healthcare sector. EHR implementation is expected to produce benefits for patients, professionals, organisations, and the population as a whole. These benefits cannot be achieved without the adoption of EHR by healthcare professionals. Nevertheless, the influence of individual and organisational factors in determining EHR adoption is still unclear. This study aims to assess the unique contribution of individual and organisational factors on EHR adoption in healthcare settings, as well as possible interrelations between these factors. Methods A prospective study will be conducted. A stratified random sampling method will be used to select 50 healthcare organisations in the Quebec City Health Region (Canada. At the individual level, a sample of 15 to 30 health professionals will be chosen within each organisation depending on its size. A semi-structured questionnaire will be administered to two key informants in each organisation to collect organisational data. A composite adoption score of EHR adoption will be developed based on a Delphi process and will be used as the outcome variable. Twelve to eighteen months after the first contact, depending on the pace of EHR implementation, key informants and clinicians will be contacted once again to monitor the evolution of EHR adoption. A multilevel regression model will be applied to identify the organisational and individual determinants of EHR adoption in clinical settings. Alternative analytical models would be applied if necessary. Results The study will assess the contribution of organisational and individual factors, as well as their interactions, to the implementation of EHR in clinical settings. Conclusions These results will be very relevant for decision makers and managers who are facing the challenge of implementing EHR in the healthcare system. In addition

ResearchEHR: use of semantic web technologies and archetypes for the description of EHRs.

Science.gov (United States)

Robles, Montserrat; Fernández-Breis, Jesualdo Tomás; Maldonado, Jose A; Moner, David; Martínez-Costa, Catalina; Bosca, Diego; Menárguez-Tortosa, Marcos

2010-01-01

In this paper, we present the ResearchEHR project. It focuses on the usability of Electronic Health Record (EHR) sources and EHR standards for building advanced clinical systems. The aim is to support healthcare professional, institutions and authorities by providing a set of generic methods and tools for the capture, standardization, integration, description and dissemination of health related information. ResearchEHR combines several tools to manage EHR at two different levels. The internal level that deals with the normalization and semantic upgrading of exiting EHR by using archetypes and the external level that uses Semantic Web technologies to specify clinical archetypes for advanced EHR architectures and systems.

Hospital financial position and the adoption of electronic health records.

Science.gov (United States)

Ginn, Gregory O; Shen, Jay J; Moseley, Charles B

2011-01-01

The objective of this study was to examine the relationship between financial position and adoption of electronic health records (EHRs) in 2442 acute care hospitals. The study was cross-sectional and utilized a general linear mixed model with the multinomial distribution specification for data analysis. We verified the results by also running a multinomial logistic regression model. To measure our variables, we used data from (1) the 2007 American Hospital Association (AHA) electronic health record implementation survey, (2) the 2006 Centers for Medicare and Medicaid Cost Reports, and (3) the 2006 AHA Annual Survey containing organizational and operational data. Our dependent variable was an ordinal variable with three levels used to indicate the extent of EHR adoption by hospitals. Our independent variables were five financial ratios: (1) net days revenue in accounts receivable, (2) total margin, (3) the equity multiplier, (4) total asset turnover, and (5) the ratio of total payroll to total expenses. For control variables, we used (1) bed size, (2) ownership type, (3) teaching affiliation, (4) system membership, (5) network participation, (6) fulltime equivalent nurses per adjusted average daily census, (7) average daily census per staffed bed, (8) Medicare patients percentage, (9) Medicaid patients percentage, (10) capitation-based reimbursement, and (11) nonconcentrated market. Only liquidity was significant and positively associated with EHR adoption. Asset turnover ratio was significant but, unexpectedly, was negatively associated with EHR adoption. However, many control variables, most notably bed size, showed significant positive associations with EHR adoption. Thus, it seems that hospitals adopt EHRs as a strategic move to better align themselves with their environment.

Archetype-based conversion of EHR content models : pilot experience with a regional EHR system

OpenAIRE

Chen, Rong; Klein, Gunnar O; Sundvall, Erik; Karlsson, Daniel; Åhlfeldt, Hans

2009-01-01

Background: Exchange of Electronic Health Record (EHR) data between systems from different suppliers is a major challenge. EHR communication based on archetype methodology has been developed by openEHR and CEN/ISO. The experience of using archetypes in deployed EHR systems is quite limited today. Currently deployed EHR systems with large user bases have their own proprietary way of representing clinical content using various models. This study was designed to investigate the feasibility of re...

Barriers to Electronic Health Record Adoption: a Systematic Literature Review.

Science.gov (United States)

Kruse, Clemens Scott; Kristof, Caitlin; Jones, Beau; Mitchell, Erica; Martinez, Angelica

2016-12-01

Federal efforts and local initiatives to increase adoption and use of electronic health records (EHRs) continue, particularly since the enactment of the Health Information Technology for Economic and Clinical Health (HITECH) Act. Roughly one in four hospitals not adopted even a basic EHR system. A review of the barriers may help in understanding the factors deterring certain healthcare organizations from implementation. We wanted to assemble an updated and comprehensive list of adoption barriers of EHR systems in the United States. Authors searched CINAHL, MEDLINE, and Google Scholar, and accepted only articles relevant to our primary objective. Reviewers independently assessed the works highlighted by our search and selected several for review. Through multiple consensus meetings, authors tapered articles to a final selection most germane to the topic (n = 27). Each article was thoroughly examined by multiple authors in order to achieve greater validity. Authors identified 39 barriers to EHR adoption within the literature selected for the review. These barriers appeared 125 times in the literature; the most frequently mentioned barriers were regarding cost, technical concerns, technical support, and resistance to change. Despite federal and local incentives, the initial cost of adopting an EHR is a common existing barrier. The other most commonly mentioned barriers include technical support, technical concerns, and maintenance/ongoing costs. Policy makers should consider incentives that continue to reduce implementation cost, possibly aimed more directly at organizations that are known to have lower adoption rates, such as small hospitals in rural areas.

Combining PubMed knowledge and EHR data to develop a weighted bayesian network for pancreatic cancer prediction.

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Zhao, Di; Weng, Chunhua

2011-10-01

In this paper, we propose a novel method that combines PubMed knowledge and Electronic Health Records to develop a weighted Bayesian Network Inference (BNI) model for pancreatic cancer prediction. We selected 20 common risk factors associated with pancreatic cancer and used PubMed knowledge to weigh the risk factors. A keyword-based algorithm was developed to extract and classify PubMed abstracts into three categories that represented positive, negative, or neutral associations between each risk factor and pancreatic cancer. Then we designed a weighted BNI model by adding the normalized weights into a conventional BNI model. We used this model to extract the EHR values for patients with or without pancreatic cancer, which then enabled us to calculate the prior probabilities for the 20 risk factors in the BNI. The software iDiagnosis was designed to use this weighted BNI model for predicting pancreatic cancer. In an evaluation using a case-control dataset, the weighted BNI model significantly outperformed the conventional BNI and two other classifiers (k-Nearest Neighbor and Support Vector Machine). We conclude that the weighted BNI using PubMed knowledge and EHR data shows remarkable accuracy improvement over existing representative methods for pancreatic cancer prediction. Copyright © 2011 Elsevier Inc. All rights reserved.

Factors associated with adoption of health information technology: a conceptual model based on a systematic review.

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Kruse, Clemens Scott; DeShazo, Jonathan; Kim, Forest; Fulton, Lawrence

2014-05-23

The Health Information Technology for Economic and Clinical Health Act (HITECH) allocated $19.2 billion to incentivize adoption of the electronic health record (EHR). Since 2009, Meaningful Use Criteria have dominated information technology (IT) strategy. Health care organizations have struggled to meet expectations and avoid penalties to reimbursements from the Center for Medicare and Medicaid Services (CMS). Organizational theories attempt to explain factors that influence organizational change, and many theories address changes in organizational strategy. However, due to the complexities of the health care industry, existing organizational theories fall short of demonstrating association with significant health care IT implementations. There is no organizational theory for health care that identifies, groups, and analyzes both internal and external factors of influence for large health care IT implementations like adoption of the EHR. The purpose of this systematic review is to identify a full-spectrum of both internal organizational and external environmental factors associated with the adoption of health information technology (HIT), specifically the EHR. The result is a conceptual model that is commensurate with the complexity of with the health care sector. We performed a systematic literature search in PubMed (restricted to English), EBSCO Host, and Google Scholar for both empirical studies and theory-based writing from 1993-2013 that demonstrated association between influential factors and three modes of HIT: EHR, electronic medical record (EMR), and computerized provider order entry (CPOE). We also looked at published books on organizational theories. We made notes and noted trends on adoption factors. These factors were grouped as adoption factors associated with various versions of EHR adoption. The resulting conceptual model summarizes the diversity of independent variables (IVs) and dependent variables (DVs) used in articles, editorials, books, as

An Analysis of the External Environmental and Internal Organizational Factors Associated with Adoption of the Electronic Health Record

Science.gov (United States)

Kruse, Clemens Scott

2013-01-01

Despite a Presidential Order in 2004 that launched national incentives for the use of health information technology, specifically the Electronic Health Record (EHR), adoption of the EHR has been slow. This study attempts to quantify factors associated with adoption of the EHR and Computerized Provider Order Entry (CPOE) by combining multiple…

The openEHR Foundation.

Science.gov (United States)

Kalra, Dipak; Beale, Thomas; Heard, Sam

2005-01-01

The openEHR Foundation is an independent, not-for-profit organisation and community, facilitating the creation and sharing of health records by consumers and clinicians via open-source, standards-based implementations. It was formed as a union of ten-year international R&D efforts in specifying the requirements, information models and implementation of comprehensive and ethico-legally sound electronic health record systems. Between 2000 and 2004 it has grown to having an on-line membership of over 300, published a wide range of EHR information viewpoint specifications. Several groups have now begun collaborative software development, within an open source framework. This chapter summarises the formation of openEHR, its research underpinning, practical demonstrators, the principle design concepts, and the roles openEHR members are playing in international standards.

Improving Service Coordination and Reducing Mental Health Disparities Through Adoption of Electronic Health Records.

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McGregor, Brian; Mack, Dominic; Wrenn, Glenda; Shim, Ruth S; Holden, Kisha; Satcher, David

2015-09-01

Despite widespread support for removing barriers to the use of electronic health records (EHRs) in behavioral health care, adoption of EHRs in behavioral health settings lags behind adoption in other areas of health care. The authors discuss barriers to use of EHRs among behavioral health care practitioners, suggest solutions to overcome these barriers, and describe the potential benefits of EHRs to reduce behavioral health care disparities. Thoughtful and comprehensive strategies will be needed to design EHR systems that address concerns about policy, practice, costs, and stigma and that protect patients' privacy and confidentiality. However, these goals must not detract from continuing to challenge the notion that behavioral health and general medical health should be treated as separate and distinct. Ultimately, utilization of EHRs among behavioral health care providers will improve the coordination of services and overall patient care, which is essential to reducing mental health disparities.

Case Study: Applying OpenEHR Archetypes to a Clinical Data Repository in a Chinese Hospital.

Science.gov (United States)

Min, Lingtong; Wang, Li; Lu, Xudong; Duan, Huilong

2015-01-01

openEHR is a flexible and scalable modeling methodology for clinical information and has been widely adopted in Europe and Australia. Due to the reasons of differences in clinical process and management, there are few research projects involving openEHR in China. To investigate the feasibility of openEHR methodology for clinical information modelling in China, this paper carries out a case study to apply openEHR archetypes to Clinical Data Repository (CDR) in a Chinese hospital. The results show that a set of 26 archetypes are found to cover all the concepts used in the CDR. Of all these, 9 (34.6%) are reused without change, 10 are modified and/or extended, and 7 are newly defined. The reasons for modification, extension and newly definition have been discussed, including granularity of archetype, metadata-level versus data-level modelling, and the representation of relationships between archetypes.

Text Mining for Precision Medicine: Bringing structure to EHRs and biomedical literature to understand genes and health

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Simmons, Michael; Singhal, Ayush; Lu, Zhiyong

2018-01-01

The key question of precision medicine is whether it is possible to find clinically actionable granularity in diagnosing disease and classifying patient risk. The advent of next generation sequencing and the widespread adoption of electronic health records (EHRs) have provided clinicians and researchers a wealth of data and made possible the precise characterization of individual patient genotypes and phenotypes. Unstructured text — found in biomedical publications and clinical notes — is an important component of genotype and phenotype knowledge. Publications in the biomedical literature provide essential information for interpreting genetic data. Likewise, clinical notes contain the richest source of phenotype information in EHRs. Text mining can render these texts computationally accessible and support information extraction and hypothesis generation. This chapter reviews the mechanics of text mining in precision medicine and discusses several specific use cases, including database curation for personalized cancer medicine, patient outcome prediction from EHR-derived cohorts, and pharmacogenomic research. Taken as a whole, these use cases demonstrate how text mining enables effective utilization of existing knowledge sources and thus promotes increased value for patients and healthcare systems. Text mining is an indispensable tool for translating genotype-phenotype data into effective clinical care that will undoubtedly play an important role in the eventual realization of precision medicine. PMID:27807747

Text Mining for Precision Medicine: Bringing Structure to EHRs and Biomedical Literature to Understand Genes and Health.

Science.gov (United States)

Simmons, Michael; Singhal, Ayush; Lu, Zhiyong

2016-01-01

The key question of precision medicine is whether it is possible to find clinically actionable granularity in diagnosing disease and classifying patient risk. The advent of next-generation sequencing and the widespread adoption of electronic health records (EHRs) have provided clinicians and researchers a wealth of data and made possible the precise characterization of individual patient genotypes and phenotypes. Unstructured text-found in biomedical publications and clinical notes-is an important component of genotype and phenotype knowledge. Publications in the biomedical literature provide essential information for interpreting genetic data. Likewise, clinical notes contain the richest source of phenotype information in EHRs. Text mining can render these texts computationally accessible and support information extraction and hypothesis generation. This chapter reviews the mechanics of text mining in precision medicine and discusses several specific use cases, including database curation for personalized cancer medicine, patient outcome prediction from EHR-derived cohorts, and pharmacogenomic research. Taken as a whole, these use cases demonstrate how text mining enables effective utilization of existing knowledge sources and thus promotes increased value for patients and healthcare systems. Text mining is an indispensable tool for translating genotype-phenotype data into effective clinical care that will undoubtedly play an important role in the eventual realization of precision medicine.

Electronic Health Record Adoption as a Function of Success: Implications for Meaningful Use

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Naser, Riyad J.

2012-01-01

Successful electronic health records (EHR) implementation has the potential to transform the entire care delivery process across the enterprise. However, the rate of EHR implementation and use among physicians has been slow. Different factors have been reported in the literature that may hinder adoption of EHR. Identifying and managing these…

Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations.

Science.gov (United States)

Arndt, Brian G; Beasley, John W; Watkinson, Michelle D; Temte, Jonathan L; Tuan, Wen-Jan; Sinsky, Christine A; Gilchrist, Valerie J

2017-09-01

Primary care physicians spend nearly 2 hours on electronic health record (EHR) tasks per hour of direct patient care. Demand for non-face-to-face care, such as communication through a patient portal and administrative tasks, is increasing and contributing to burnout. The goal of this study was to assess time allocated by primary care physicians within the EHR as indicated by EHR user-event log data, both during clinic hours (defined as 8:00 am to 6:00 pm Monday through Friday) and outside clinic hours. We conducted a retrospective cohort study of 142 family medicine physicians in a single system in southern Wisconsin. All Epic (Epic Systems Corporation) EHR interactions were captured from "event logging" records over a 3-year period for both direct patient care and non-face-to-face activities, and were validated by direct observation. EHR events were assigned to 1 of 15 EHR task categories and allocated to either during or after clinic hours. Clinicians spent 355 minutes (5.9 hours) of an 11.4-hour workday in the EHR per weekday per 1.0 clinical full-time equivalent: 269 minutes (4.5 hours) during clinic hours and 86 minutes (1.4 hours) after clinic hours. Clerical and administrative tasks including documentation, order entry, billing and coding, and system security accounted for nearly one-half of the total EHR time (157 minutes, 44.2%). Inbox management accounted for another 85 minutes (23.7%). Primary care physicians spend more than one-half of their workday, nearly 6 hours, interacting with the EHR during and after clinic hours. EHR event logs can identify areas of EHR-related work that could be delegated, thus reducing workload, improving professional satisfaction, and decreasing burnout. Direct time-motion observations validated EHR-event log data as a reliable source of information regarding clinician time allocation. © 2017 Annals of Family Medicine, Inc.

Adoption of electronic health records and barriers

Directory of Open Access Journals (Sweden)

Venkataraman Palabindala

2016-10-01

Full Text Available Electronic health records (EHR are not a new idea in the U.S. medical system, but surprisingly there has been very slow adoption of fully integrated EHR systems in practice in both primary care settings and within hospitals. For those who have invested in EHR, physicians report high levels of satisfaction and confidence in the reliability of their system. There is also consensus that EHR can improve patient care, promote safe practice, and enhance communication between patients and multiple providers, reducing the risk of error. As EHR implementation continues in hospitals, administrative and physician leadership must actively investigate all of the potential risks for medical error, system failure, and legal responsibility before moving forward. Ensuring that physicians are aware of their responsibilities in relation to their charting practices and the depth of information available within an EHR system is crucial for minimizing the risk of malpractice and lawsuit. Hospitals must commit to regular system upgrading and corresponding training for all users to reduce the risk of error and adverse events.

Restructuring an EHR system and the Medical Markup Language (MML) standard to improve interoperability by archetype technology.

Science.gov (United States)

Kobayashi, Shinji; Kume, Naoto; Yoshihara, Hiroyuki

2015-01-01

In 2001, we developed an EHR system for regional healthcare information inter-exchange and to provide individual patient data to patients. This system was adopted in three regions in Japan. We also developed a Medical Markup Language (MML) standard for inter- and intra-hospital communications. The system was built on a legacy platform, however, and had not been appropriately maintained or updated to meet clinical requirements. To improve future maintenance costs, we reconstructed the EHR system using archetype technology on the Ruby on Rails platform, and generated MML equivalent forms from archetypes. The system was deployed as a cloud-based system for preliminary use as a regional EHR. The system now has the capability to catch up with new requirements, maintaining semantic interoperability with archetype technology. It is also more flexible than the legacy EHR system.

Implementing electronic health records (EHRs): health care provider perceptions before and after transition from a local basic EHR to a commercial comprehensive EHR.

Science.gov (United States)

Krousel-Wood, Marie; McCoy, Allison B; Ahia, Chad; Holt, Elizabeth W; Trapani, Donnalee N; Luo, Qingyang; Price-Haywood, Eboni G; Thomas, Eric J; Sittig, Dean F; Milani, Richard V

2018-06-01

We assessed changes in the percentage of providers with positive perceptions of electronic health record (EHR) benefit before and after transition from a local basic to a commercial comprehensive EHR. Changes in the percentage of providers with positive perceptions of EHR benefit were captured via a survey of academic health care providers before (baseline) and at 6-12 months (short term) and 12-24 months (long term) after the transition. We analyzed 32 items for the overall group and by practice setting, provider age, and specialty using separate multivariable-adjusted random effects logistic regression models. A total of 223 providers completed all 3 surveys (30% response rate): 85.6% had outpatient practices, 56.5% were >45 years old, and 23.8% were primary care providers. The percentage of providers with positive perceptions significantly increased from baseline to long-term follow-up for patient communication, hospital transitions - access to clinical information, preventive care delivery, preventive care prompt, preventive lab prompt, satisfaction with system reliability, and sharing medical information (P commercial comprehensive EHR, items with significant increases and significant decreases in the percentage of providers with positive perceptions of EHR benefit were identified, overall and by subgroup.

Healthcare technology innovation adoption electronic health records and other emerging health information technology innovations

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Daim, Tugrul U; Basoglu, Nuri; Kök, Orhun M; Hogaboam, Liliya

2016-01-01

This book aims to study the factors affecting the adoption and diffusion of Health Information Technology (HIT) innovation. It analyzes the adoption processes of various tools and applications, particularly Electronic Health Records (EHR), highlighting the impact on various sectors of the healthcare system, such as physicians, administration,  and patient care, while also identifying the various pitfalls and gaps in the literature. With the various challenges currently facing the United States healthcare system, the study, adoption and diffusion of healthcare technology innovation, particularly HIT, is imperative to achieving national goals. This book is organized into three sections. Section one reviews theories and applications for the diffusion of Health Care Technologies. Section two evaluates EHR technology, including the barriers and enables in adoption and alternative technologies. Finally, section three examines the factors impacting the adoption of EHR systems. This book will be a key source for stu...

Comparison of EHR-based diagnosis documentation locations to a gold standard for risk stratification in patients with multiple chronic conditions.

Science.gov (United States)

Martin, Shelby; Wagner, Jesse; Lupulescu-Mann, Nicoleta; Ramsey, Katrina; Cohen, Aaron; Graven, Peter; Weiskopf, Nicole G; Dorr, David A

2017-08-02

To measure variation among four different Electronic Health Record (EHR) system documentation locations versus 'gold standard' manual chart review for risk stratification in patients with multiple chronic illnesses. Adults seen in primary care with EHR evidence of at least one of 13 conditions were included. EHRs were manually reviewed to determine presence of active diagnoses, and risk scores were calculated using three different methodologies and five EHR documentation locations. Claims data were used to assess cost and utilization for the following year. Descriptive and diagnostic statistics were calculated for each EHR location. Criterion validity testing compared the gold standard verified diagnoses versus other EHR locations and risk scores in predicting future cost and utilization. Nine hundred patients had 2,179 probable diagnoses. About 70% of the diagnoses from the EHR were verified by gold standard. For a subset of patients having baseline and prediction year data (n=750), modeling showed that the gold standard was the best predictor of outcomes on average for a subset of patients that had these data. However, combining all data sources together had nearly equivalent performance for prediction as the gold standard. EHR data locations were inaccurate 30% of the time, leading to improvement in overall modeling from a gold standard from chart review for individual diagnoses. However, the impact on identification of the highest risk patients was minor, and combining data from different EHR locations was equivalent to gold standard performance. The reviewer's ability to identify a diagnosis as correct was influenced by a variety of factors, including completeness, temporality, and perceived accuracy of chart data.

How to successfully select and implement electronic health records (EHR) in small ambulatory practice settings.

Science.gov (United States)

Lorenzi, Nancy M; Kouroubali, Angelina; Detmer, Don E; Bloomrosen, Meryl

2009-02-23

Adoption of EHRs by U.S. ambulatory practices has been slow despite the perceived benefits of their use. Most evaluations of EHR implementations in the literature apply to large practice settings. While there are similarities relating to EHR implementation in large and small practice settings, the authors argue that scale is an important differentiator. Focusing on small ambulatory practices, this paper outlines the benefits and barriers to EHR use in this setting, and provides a "field guide" for these practices to facilitate successful EHR implementation. The benefits of EHRs in ambulatory practices include improved patient care and office efficiency, and potential financial benefits. Barriers to EHRs include costs; lack of standardization of EHR products and the design of vendor systems for large practice environments; resistance to change; initial difficulty of system use leading to productivity reduction; and perceived accrual of benefits to society and payers rather than providers. The authors stress the need for developing a flexible change management strategy when introducing EHRs that is relevant to the small practice environment; the strategy should acknowledge the importance of relationship management and the role of individual staff members in helping the entire staff to manage change. Practice staff must create an actionable vision outlining realistic goals for the implementation, and all staff must buy into the project. The authors detail the process of implementing EHRs through several stages: decision, selection, pre-implementation, implementation, and post-implementation. They stress the importance of identifying a champion to serve as an advocate of the value of EHRs and provide direction and encouragement for the project. Other key activities include assessing and redesigning workflow; understanding financial issues; conducting training that is well-timed and meets the needs of practice staff; and evaluating the implementation process. The EHR

How to successfully select and implement electronic health records (EHR in small ambulatory practice settings

Directory of Open Access Journals (Sweden)

Detmer Don E

2009-02-01

Full Text Available Abstract Background Adoption of EHRs by U.S. ambulatory practices has been slow despite the perceived benefits of their use. Most evaluations of EHR implementations in the literature apply to large practice settings. While there are similarities relating to EHR implementation in large and small practice settings, the authors argue that scale is an important differentiator. Focusing on small ambulatory practices, this paper outlines the benefits and barriers to EHR use in this setting, and provides a "field guide" for these practices to facilitate successful EHR implementation. Discussion The benefits of EHRs in ambulatory practices include improved patient care and office efficiency, and potential financial benefits. Barriers to EHRs include costs; lack of standardization of EHR products and the design of vendor systems for large practice environments; resistance to change; initial difficulty of system use leading to productivity reduction; and perceived accrual of benefits to society and payers rather than providers. The authors stress the need for developing a flexible change management strategy when introducing EHRs that is relevant to the small practice environment; the strategy should acknowledge the importance of relationship management and the role of individual staff members in helping the entire staff to manage change. Practice staff must create an actionable vision outlining realistic goals for the implementation, and all staff must buy into the project. The authors detail the process of implementing EHRs through several stages: decision, selection, pre-implementation, implementation, and post-implementation. They stress the importance of identifying a champion to serve as an advocate of the value of EHRs and provide direction and encouragement for the project. Other key activities include assessing and redesigning workflow; understanding financial issues; conducting training that is well-timed and meets the needs of practice staff

EHRs Connect Research and Practice: Where Predictive Modeling, Artificial Intelligence, and Clinical Decision Support Intersect

OpenAIRE

Bennett, Casey; Doub, Tom; Selove, Rebecca

2012-01-01

Objectives: Electronic health records (EHRs) are only a first step in capturing and utilizing health-related data - the challenge is turning that data into useful information. Furthermore, EHRs are increasingly likely to include data relating to patient outcomes, functionality such as clinical decision support, and genetic information as well, and, as such, can be seen as repositories of increasingly valuable information about patients' health conditions and responses to treatment over time. ...

Modeling healthcare authorization and claim submissions using the openEHR dual-model approach

Science.gov (United States)

2011-01-01

Background The TISS standard is a set of mandatory forms and electronic messages for healthcare authorization and claim submissions among healthcare plans and providers in Brazil. It is not based on formal models as the new generation of health informatics standards suggests. The objective of this paper is to model the TISS in terms of the openEHR archetype-based approach and integrate it into a patient-centered EHR architecture. Methods Three approaches were adopted to model TISS. In the first approach, a set of archetypes was designed using ENTRY subclasses. In the second one, a set of archetypes was designed using exclusively ADMIN_ENTRY and CLUSTERs as their root classes. In the third approach, the openEHR ADMIN_ENTRY is extended with classes designed for authorization and claim submissions, and an ISM_TRANSITION attribute is added to the COMPOSITION class. Another set of archetypes was designed based on this model. For all three approaches, templates were designed to represent the TISS forms. Results The archetypes based on the openEHR RM (Reference Model) can represent all TISS data structures. The extended model adds subclasses and an attribute to the COMPOSITION class to represent information on authorization and claim submissions. The archetypes based on all three approaches have similar structures, although rooted in different classes. The extended openEHR RM model is more semantically aligned with the concepts involved in a claim submission, but may disrupt interoperability with other systems and the current tools must be adapted to deal with it. Conclusions Modeling the TISS standard by means of the openEHR approach makes it aligned with ISO recommendations and provides a solid foundation on which the TISS can evolve. Although there are few administrative archetypes available, the openEHR RM is expressive enough to represent the TISS standard. This paper focuses on the TISS but its results may be extended to other billing processes. A complete

A secure EHR system based on hybrid clouds.

Science.gov (United States)

Chen, Yu-Yi; Lu, Jun-Chao; Jan, Jinn-Ke

2012-10-01

Consequently, application services rendering remote medical services and electronic health record (EHR) have become a hot topic and stimulating increased interest in studying this subject in recent years. Information and communication technologies have been applied to the medical services and healthcare area for a number of years to resolve problems in medical management. Sharing EHR information can provide professional medical programs with consultancy, evaluation, and tracing services can certainly improve accessibility to the public receiving medical services or medical information at remote sites. With the widespread use of EHR, building a secure EHR sharing environment has attracted a lot of attention in both healthcare industry and academic community. Cloud computing paradigm is one of the popular healthIT infrastructures for facilitating EHR sharing and EHR integration. In this paper, we propose an EHR sharing and integration system in healthcare clouds and analyze the arising security and privacy issues in access and management of EHRs.

Evaluation of a Framework to Implement Electronic Health Record Systems Based on the openEHR Standard

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Orellana, Diego A.; Salas, Alberto A.; Solarz, Pablo F.; Medina Ruiz, Luis; Rotger, Viviana I.

2016-04-01

The production of clinical information about each patient is constantly increasing, and it is noteworthy that the information is created in different formats and at diverse points of care, resulting in fragmented, incomplete, inaccurate and isolated, health information. The use of health information technology has been promoted as having a decisive impact to improve the efficiency, cost-effectiveness, quality and safety of medical care delivery. However in developing countries the utilization of health information technology is insufficient and lacking of standards among other situations. In the present work we evaluate the framework EHRGen, based on the openEHR standard, as mean to reach generation and availability of patient centered information. The framework has been evaluated through the provided tools for final users, that is, without intervention of computer experts. It makes easier to adopt the openEHR ideas and provides an open source basis with a set of services, although some limitations in its current state conspire against interoperability and usability. However, despite the described limitations respect to usability and semantic interoperability, EHRGen is, at least regionally, a considerable step toward EHR adoption and interoperability, so that it should be supported from academic and administrative institutions.

Do service innovations influence the adoption of electronic health records in long-term care organizations? Results from the U.S. National Survey of Residential Care Facilities.

Science.gov (United States)

Bhuyan, Soumitra S; Zhu, He; Chandak, Aastha; Kim, Jungyoon; Stimpson, Jim P

2014-12-01

Healthcare organizations including residential care facilities (RCFs) are diversifying their services to meet market demands. Service innovations have been linked to the changes in the way that healthcare organizations organize their work. The objective of this study is to explore the relationship between organizational service innovations and Electronic Health Record (EHR) adoption in the RCFs. We used the data from the 2010 National Survey of Residential Care Facilities conducted by the Centers for Disease Control and Prevention. The outcome was whether an RCF adopted EHR or not, and the predictors were the organizational service innovations including provision of skilled nursing care and medication review. We also added facility characteristics as control variables. Weighted multivariate logistic regressions were used to estimate the relationship between service innovation factors and EHR adoption in the RCFs. In 2010, about 17.4% of the RCFs were estimated to use EHR. Multivariate analysis showed that RCFs employing service innovations were more likely to adopt EHR. The residential care facilities that provide skilled nursing services to their residents are more likely (OR: 1.42; 95% CI: 1.09-1.87) to adopt EHR. Similarly, RCFs with a provision of medication review were also more likely to adopt EHR (OR: 1.40; 95% CI: 1.00-1.95). Among the control variables, facility size, chain affiliation, ownership type, and Medicaid certification were significantly associated with EHR adoption. Our findings suggest that service innovations may drive EHR adoption in the RCFs in the United States. This can be viewed as a strategic attempt by RCFs to engage in a new business arrangement with hospitals and other health care organizations, where quality of care and interoperability of patients' records might play a vital role under the current healthcare reform. Future research could examine the relationship between service innovations and use of different EHR functionality in

Implementing EHR in a developing country: potential challenges and benefits

OpenAIRE

Tanko, Abdulai

2009-01-01

Developing countries are slow adopters of new technologies, particularly with regards to the health services of these countries. This study explores the data collection and management challenges in a Ghanaian hospital using an interpretative case study approach and proposes implementing an Electronic Health Record (EHR) system as a solution to these challenges. The Technology Acceptance Model (TAM), Actor Network Theory (ANT) and Computer Supported Cooperative Work (CSCW) are used in discussi...

Hospital Electronic Health Record Adoption and Its Influence on Postoperative Sepsis

Science.gov (United States)

Fareed, Naleef

2013-01-01

Electronic Health Record (EHR) systems could make healthcare delivery safer by providing benefits such as timely access to accurate and complete patient information, advances in diagnosis and coordination of care, and enhancements for monitoring patient vitals. This study explored the nature of EHR adoption in U.S. hospitals and their patient…

Developing an electronic health record (EHR) for methadone treatment recording and decision support

Science.gov (United States)

2011-01-01

Background In this paper, we give an overview of methadone treatment in Ireland and outline the rationale for designing an electronic health record (EHR) with extensibility, interoperability and decision support functionality. Incorporating several international standards, a conceptual model applying a problem orientated approach in a hierarchical structure has been proposed for building the EHR. Methods A set of archetypes has been designed in line with the current best practice and clinical guidelines which guide the information-gathering process. A web-based data entry system has been implemented, incorporating elements of the paper-based prescription form, while at the same time facilitating the decision support function. Results The use of archetypes was found to capture the ever changing requirements in the healthcare domain and externalises them in constrained data structures. The solution is extensible enabling the EHR to cover medicine management in general as per the programme of the HRB Centre for Primary Care Research. Conclusions The data collected via this Irish system can be aggregated into a larger dataset, if necessary, for analysis and evidence-gathering, since we adopted the openEHR standard. It will be later extended to include the functionalities of prescribing drugs other than methadone along with the research agenda at the HRB Centre for Primary Care Research in Ireland. PMID:21284849

Developing an electronic health record (EHR) for methadone treatment recording and decision support

LENUS (Irish Health Repository)

Xiao, Liang

2011-02-01

Abstract Background In this paper, we give an overview of methadone treatment in Ireland and outline the rationale for designing an electronic health record (EHR) with extensibility, interoperability and decision support functionality. Incorporating several international standards, a conceptual model applying a problem orientated approach in a hierarchical structure has been proposed for building the EHR. Methods A set of archetypes has been designed in line with the current best practice and clinical guidelines which guide the information-gathering process. A web-based data entry system has been implemented, incorporating elements of the paper-based prescription form, while at the same time facilitating the decision support function. Results The use of archetypes was found to capture the ever changing requirements in the healthcare domain and externalises them in constrained data structures. The solution is extensible enabling the EHR to cover medicine management in general as per the programme of the HRB Centre for Primary Care Research. Conclusions The data collected via this Irish system can be aggregated into a larger dataset, if necessary, for analysis and evidence-gathering, since we adopted the openEHR standard. It will be later extended to include the functionalities of prescribing drugs other than methadone along with the research agenda at the HRB Centre for Primary Care Research in Ireland.

Business analysis for a sustainable, multi-stakeholder ecosystem for leveraging the Electronic Health Records for Clinical Research (EHR4CR) platform in Europe.

Science.gov (United States)

Dupont, Danielle; Beresniak, Ariel; Sundgren, Mats; Schmidt, Andreas; Ainsworth, John; Coorevits, Pascal; Kalra, Dipak; Dewispelaere, Marc; De Moor, Georges

2017-01-01

The Electronic Health Records for Clinical Research (EHR4CR) technological platform has been developed to enable the trustworthy reuse of hospital electronic health records data for clinical research. The EHR4CR platform can enhance and speed up clinical research scenarios: protocol feasibility assessment, patient identification for recruitment in clinical trials, and clinical data exchange, including for reporting serious adverse events. Our objective was to seed a multi-stakeholder ecosystem to enable the scalable exploitation of the EHR4CR platform in Europe, and to assess its economic sustainability. Market analyses were conducted by a multidisciplinary task force to define an EHR4CR emerging ecosystem and multi-stakeholder value chain. This involved mapping stakeholder groups and defining their unmet needs, incentives, potential barriers for adopting innovative solutions, roles and interdependencies. A comprehensive business model, value propositions, and sustainability strategies were developed accordingly. Using simulation modelling (including Monte Carlo simulations) and a 5-year horizon, the potential financial outcomes of the business model were forecasted from the perspective of an EHR4CR service provider. A business ecosystem was defined to leverage the EHR4CR multi-stakeholder value chain. Value propositions were developed describing the expected benefits of EHR4CR solutions for all stakeholders. From an EHR4CR service provider's viewpoint, the business model simulation estimated that a profitability ratio of up to 1.8 could be achieved at year 1, with potential for growth in subsequent years depending on projected market uptake. By enhancing and speeding up existing processes, EHR4CR solutions promise to transform the clinical research landscape. The ecosystem defined provides the organisational framework for optimising the value and benefits for all stakeholders involved, in a sustainable manner. Our study suggests that the exploitation of EHR4CR

Mapping a Nursing Terminology Subset to openEHR Archetypes. A Case Study of the International Classification for Nursing Practice.

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Nogueira, J R M; Cook, T W; Cavalini, L T

2015-01-01

Healthcare information technologies have the potential to transform nursing care. However, healthcare information systems based on conventional software architecture are not semantically interoperable and have high maintenance costs. Health informatics standards, such as controlled terminologies, have been proposed to improve healthcare information systems, but their implementation in conventional software has not been enough to overcome the current challenge. Such obstacles could be removed by adopting a multilevel model-driven approach, such as the openEHR specifications, in nursing information systems. To create an openEHR archetype model for the Functional Status concepts as published in Nursing Outcome Indicators Catalog of the International Classification for Nursing Practice (NOIC-ICNP). Four methodological steps were followed: 1) extraction of terms from the NOIC-ICNP terminology; 2) identification of previously published openEHR archetypes; 3) assessment of the adequacy of those openEHR archetypes to represent the terms; and 4) development of new openEHR archetypes when required. The "Barthel Index" archetype was retrieved and mapped to the 68 NOIC-ICNP Functional Status terms. There were 19 exact matches between a term and the correspondent archetype node and 23 archetype nodes that matched to one or more NOIC-INCP. No matches were found between the archetype and 14 of the NOIC-ICNP terms, and nine archetype nodes did not match any of the NOIC-ICNP terms. The openEHR model was sufficient to represent the semantics of the Functional Status concept according to the NOIC-ICNP, but there were differences in data granularity between the terminology and the archetype, thus producing a significantly complex mapping, which could be difficult to implement in real healthcare information systems. However, despite the technological complexity, the present study demonstrated the feasibility of mapping nursing terminologies to openEHR archetypes, which emphasizes the

Modeling healthcare authorization and claim submissions using the openEHR dual-model approach

Directory of Open Access Journals (Sweden)

Freire Sergio M

2011-10-01

Full Text Available Abstract Background The TISS standard is a set of mandatory forms and electronic messages for healthcare authorization and claim submissions among healthcare plans and providers in Brazil. It is not based on formal models as the new generation of health informatics standards suggests. The objective of this paper is to model the TISS in terms of the openEHR archetype-based approach and integrate it into a patient-centered EHR architecture. Methods Three approaches were adopted to model TISS. In the first approach, a set of archetypes was designed using ENTRY subclasses. In the second one, a set of archetypes was designed using exclusively ADMIN_ENTRY and CLUSTERs as their root classes. In the third approach, the openEHR ADMIN_ENTRY is extended with classes designed for authorization and claim submissions, and an ISM_TRANSITION attribute is added to the COMPOSITION class. Another set of archetypes was designed based on this model. For all three approaches, templates were designed to represent the TISS forms. Results The archetypes based on the openEHR RM (Reference Model can represent all TISS data structures. The extended model adds subclasses and an attribute to the COMPOSITION class to represent information on authorization and claim submissions. The archetypes based on all three approaches have similar structures, although rooted in different classes. The extended openEHR RM model is more semantically aligned with the concepts involved in a claim submission, but may disrupt interoperability with other systems and the current tools must be adapted to deal with it. Conclusions Modeling the TISS standard by means of the openEHR approach makes it aligned with ISO recommendations and provides a solid foundation on which the TISS can evolve. Although there are few administrative archetypes available, the openEHR RM is expressive enough to represent the TISS standard. This paper focuses on the TISS but its results may be extended to other billing

explICU: A web-based visualization and predictive modeling toolkit for mortality in intensive care patients.

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Chen, Robert; Kumar, Vikas; Fitch, Natalie; Jagadish, Jitesh; Lifan Zhang; Dunn, William; Duen Horng Chau

2015-01-01

Preventing mortality in intensive care units (ICUs) has been a top priority in American hospitals. Predictive modeling has been shown to be effective in prediction of mortality based upon data from patients' past medical histories from electronic health records (EHRs). Furthermore, visualization of timeline events is imperative in the ICU setting in order to quickly identify trends in patient histories that may lead to mortality. With the increasing adoption of EHRs, a wealth of medical data is becoming increasingly available for secondary uses such as data exploration and predictive modeling. While data exploration and predictive modeling are useful for finding risk factors in ICU patients, the process is time consuming and requires a high level of computer programming ability. We propose explICU, a web service that hosts EHR data, displays timelines of patient events based upon user-specified preferences, performs predictive modeling in the back end, and displays results to the user via intuitive, interactive visualizations.

Adoption of Electronic Health Records: A Roadmap for India

Science.gov (United States)

2016-01-01

Objectives The objective of the study was to create a roadmap for the adoption of Electronic Health Record (EHR) in India based an analysis of the strategies of other countries and national scenarios of ICT use in India. Methods The strategies for adoption of EHR in other countries were analyzed to find the crucial steps taken. Apart from reports collected from stakeholders in the country, the study relied on the experience of the author in handling several e-health projects. Results It was found that there are four major areas where the countries considered have made substantial efforts: ICT infrastructure, Policy & regulations, Standards & interoperability, and Research, development & education. A set of crucial activities were identified in each area. Based on the analysis, a roadmap is suggested. It includes the creation of a secure health network; health information exchange; and the use of open-source software, a national health policy, privacy laws, an agency for health IT standards, R&D, human resource development, etc. Conclusions Although some steps have been initiated, several new steps need to be taken up for the successful adoption of EHR. It requires a coordinated effort from all the stakeholders. PMID:27895957

Adoption of Electronic Health Records: A Roadmap for India.

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Srivastava, Sunil Kumar

2016-10-01

The objective of the study was to create a roadmap for the adoption of Electronic Health Record (EHR) in India based an analysis of the strategies of other countries and national scenarios of ICT use in India. The strategies for adoption of EHR in other countries were analyzed to find the crucial steps taken. Apart from reports collected from stakeholders in the country, the study relied on the experience of the author in handling several e-health projects. It was found that there are four major areas where the countries considered have made substantial efforts: ICT infrastructure, Policy & regulations, Standards & interoperability, and Research, development & education. A set of crucial activities were identified in each area. Based on the analysis, a roadmap is suggested. It includes the creation of a secure health network; health information exchange; and the use of open-source software, a national health policy, privacy laws, an agency for health IT standards, R&D, human resource development, etc. Although some steps have been initiated, several new steps need to be taken up for the successful adoption of EHR. It requires a coordinated effort from all the stakeholders.

Avoiding fraud risks associated with EHRs.

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Helton, Jeffrey R

2010-07-01

Fraud associated with electronic health records (EHRs) generally falls into two categories: inappropriate billing by healthcare providers and inappropriate access by a system's users. A provider's EHR system requires controls to be of any significant help in detecting such fraudulent activity, or in gathering transactional evidence should such activity be identified. To protect against potential EHR-related healthcare fraud, providers should follow the recommendations established in 2007 by RTI International for the Office of the National Coordinator for Health Information Technology of the U.S. Department of Health and Human Services.

Improving HIV/AIDS Knowledge Management Using EHRs.

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Malmberg, Erik D; Phan, Thao M; Harmon, Glynn; Nauert, Richard F

2012-01-01

A primary goal for the development of EHRs and EHR-related technologies should be to facilitate greater knowledge management for improving individual and community health outcomes associated with HIV / AIDS. Most of the current developments of EHR have focused on providing data for research, patient care and prioritization of healthcare provider resources in other areas. More attention should be paid to using information from EHRs to assist local, state, national, and international entities engaged in HIV / AIDS care, research and prevention strategies. Unfortunately the technology and standards for HIV-specific reporting modules are still being developed. A literature search and review supplemented by the author's own experiences with electronic health records and HIV / AIDS prevention strategies will be used. This data was used to identify both opportunities and challenges for improving public health informatics primarily through the use of latest innovations in EHRs. Qualitative analysis and suggestions are offered for how EHRs can support knowledge management and prevention strategies associated with HIV infection. EHR information, including demographics, medical history, medication and allergies, immunization status, and other vital statistics can help public health practitioners to more quickly identify at-risk populations or environments; allocate scarce resources in the most efficient way; share information about successful, evidenced-based prevention strategies; and increase longevity and quality of life. Local, state, and federal entities need to work more collaboratively with NGOs, community-based organizations, and the private sector to eliminate barriers to implementation including cost, interoperability, accessibility, and information security.

Protection of electronic health records (EHRs) in cloud.

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Alabdulatif, Abdulatif; Khalil, Ibrahim; Mai, Vu

2013-01-01

EHR technology has come into widespread use and has attracted attention in healthcare institutions as well as in research. Cloud services are used to build efficient EHR systems and obtain the greatest benefits of EHR implementation. Many issues relating to building an ideal EHR system in the cloud, especially the tradeoff between flexibility and security, have recently surfaced. The privacy of patient records in cloud platforms is still a point of contention. In this research, we are going to improve the management of access control by restricting participants' access through the use of distinct encrypted parameters for each participant in the cloud-based database. Also, we implement and improve an existing secure index search algorithm to enhance the efficiency of information control and flow through a cloud-based EHR system. At the final stage, we contribute to the design of reliable, flexible and secure access control, enabling quick access to EHR information.

Facilitating the openEHR approach - organizational structures for defining high-quality archetypes.

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Kohl, Christian Dominik; Garde, Sebastian; Knaup, Petra

2008-01-01

Using openEHR archetypes to establish an electronic patient record promises rapid development and system interoperability by using or adopting existing archetypes. However, internationally accepted, high quality archetypes which enable a comprehensive semantic interoperability require adequate development and maintenance processes. Therefore, structures have to be created involving different health professions. In the following we present a model which facilitates and governs distributed but cooperative development and adoption of archetypes by different professionals including peer reviews. Our model consists of a hierarchical structure of professional committees and descriptions of the archetype development process considering these different committees.

Electronic Health Record Portal Adoption: a cross country analysis.

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Tavares, Jorge; Oliveira, Tiago

2017-07-05

This study's goal is to understand the factors that drive individuals to adopt Electronic Health Record (EHR) portals and to estimate if there are differences between countries with different healthcare models. We applied a new adoption model using as a starting point the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) by incorporating the Concern for Information Privacy (CFIP) framework. To evaluate the research model we used the partial least squares (PLS) - structural equation modelling (SEM) approach. An online questionnaire was administrated in the United States (US) and Europe (Portugal). We collected 597 valid responses. The statistically significant factors of behavioural intention are performance expectancy ([Formula: see text] total  = 0.285; P expectancy ([Formula: see text] total  = 0.160; P value ([Formula: see text] total  = 0.152; P value are only predictors in the US group. The model explained 53% of the variance in behavioural intention and 36% of the variance in use behaviour. Our study identified critical factors for the adoption of EHR portals and significant differences between the countries. Confidentiality issues do not seem to influence acceptance. The EHR portals usage patterns are significantly higher in US compared to Portugal.

Automated population of an i2b2 clinical data warehouse from an openEHR-based data repository.

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Haarbrandt, Birger; Tute, Erik; Marschollek, Michael

2016-10-01

Detailed Clinical Model (DCM) approaches have recently seen wider adoption. More specifically, openEHR-based application systems are now used in production in several countries, serving diverse fields of application such as health information exchange, clinical registries and electronic medical record systems. However, approaches to efficiently provide openEHR data to researchers for secondary use have not yet been investigated or established. We developed an approach to automatically load openEHR data instances into the open source clinical data warehouse i2b2. We evaluated query capabilities and the performance of this approach in the context of the Hanover Medical School Translational Research Framework (HaMSTR), an openEHR-based data repository. Automated creation of i2b2 ontologies from archetypes and templates and the integration of openEHR data instances from 903 patients of a paediatric intensive care unit has been achieved. In total, it took an average of ∼2527s to create 2.311.624 facts from 141.917 XML documents. Using the imported data, we conducted sample queries to compare the performance with two openEHR systems and to investigate if this representation of data is feasible to support cohort identification and record level data extraction. We found the automated population of an i2b2 clinical data warehouse to be a feasible approach to make openEHR data instances available for secondary use. Such an approach can facilitate timely provision of clinical data to researchers. It complements analytics based on the Archetype Query Language by allowing querying on both, legacy clinical data sources and openEHR data instances at the same time and by providing an easy-to-use query interface. However, due to different levels of expressiveness in the data models, not all semantics could be preserved during the ETL process. Copyright © 2016 Elsevier Inc. All rights reserved.

Design of cloud security in the EHR for Indian healthcare services

Directory of Open Access Journals (Sweden)

Pradeep Deshmukh

2017-07-01

Full Text Available An ease of data or record sharing at will has compelled most of the physicians to adopt EHR (Electronic Health Record for record-keeping of patients. It also makes convenient to the other stake holders of healthcare ecosystem such as nurses, specialists and patient. Due to lower costs and scalability of application, the cloud is becoming the infrastructure for most of the EHR but without comprising the privacy of data. In this paper we have proposed a frame work for storing the health records and accessing them by patients and physicians as authorized by key-control scheme. The scenarios we have considered here are of rural and urban health care centers and hence more appropriate for Indian health care services. The proposed scheme has double data security by introducing isolation between encryption schemes of transmitted data and stored data. The experimental result shows that it has a capability of scaling in number of patients and also no of elements in health record.

User Satisfaction Evaluation of the EHR4CR Query Builder: A Multisite Patient Count Cohort System

Directory of Open Access Journals (Sweden)

Iñaki Soto-Rey

2015-01-01

Full Text Available The Electronic Health Records for Clinical Research (EHR4CR project aims to develop services and technology for the leverage reuse of Electronic Health Records with the purpose of improving the efficiency of clinical research processes. A pilot program was implemented to generate evidence of the value of using the EHR4CR platform. The user acceptance of the platform is a key success factor in driving the adoption of the EHR4CR platform; thus, it was decided to evaluate the user satisfaction. In this paper, we present the results of a user satisfaction evaluation for the EHR4CR multisite patient count cohort system. This study examined the ability of testers (n=22 and n=16 from 5 countries to perform three main tasks (around 20 minutes per task, after a 30-minute period of self-training. The System Usability Scale score obtained was 55.83 (SD: 15.37, indicating a moderate user satisfaction. The responses to an additional satisfaction questionnaire were positive about the design of the interface and the required procedure to design a query. Nevertheless, the most complex of the three tasks proposed in this test was rated as difficult, indicating a need to improve the system regarding complicated queries.

Developing a National-Level Concept Dictionary for EHR Implementations in Kenya.

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Keny, Aggrey; Wanyee, Steven; Kwaro, Daniel; Mulwa, Edwin; Were, Martin C

2015-01-01

The increasing adoption of Electronic Health Records (EHR) by developing countries comes with the need to develop common terminology standards to assure semantic interoperability. In Kenya, where the Ministry of Health has rolled out an EHR at 646 sites, several challenges have emerged including variable dictionaries across implementations, inability to easily share data across systems, lack of expertise in dictionary management, lack of central coordination and custody of a terminology service, inadequately defined policies and processes, insufficient infrastructure, among others. A Concept Working Group was constituted to address these challenges. The country settled on a common Kenya data dictionary, initially derived as a subset of the Columbia International eHealth Laboratory (CIEL)/Millennium Villages Project (MVP) dictionary. The initial dictionary scope largely focuses on clinical needs. Processes and policies around dictionary management are being guided by the framework developed by Bakhshi-Raiez et al. Technical and infrastructure-based approaches are also underway to streamline workflow for dictionary management and distribution across implementations. Kenya's approach on comprehensive common dictionary can serve as a model for other countries in similar settings.

The Data Gap in the EHR for Clinical Research Eligibility Screening.

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Butler, Alex; Wei, Wei; Yuan, Chi; Kang, Tian; Si, Yuqi; Weng, Chunhua

2018-01-01

Much effort has been devoted to leverage EHR data for matching patients into clinical trials. However, EHRs may not contain all important data elements for clinical research eligibility screening. To better design research-friendly EHRs, an important step is to identify data elements frequently used for eligibility screening but not yet available in EHRs. This study fills this knowledge gap. Using the Alzheimer's disease domain as an example, we performed text mining on the eligibility criteria text in Clinicaltrials.gov to identify frequently used eligibility criteria concepts. We compared them to the EHR data elements of a cohort of Alzheimer's Disease patients to assess the data gap by usingthe OMOP Common Data Model to standardize the representations for both criteria concepts and EHR data elements. We identified the most common SNOMED CT concepts used in Alzheimer 's Disease trials, andfound 40% of common eligibility criteria concepts were not even defined in the concept space in the EHR dataset for a cohort of Alzheimer 'sDisease patients, indicating a significant data gap may impede EHR-based eligibility screening. The results of this study can be useful for designing targeted research data collection forms to help fill the data gap in the EHR.

Strategies for Primary Care Stakeholders to Improve Electronic Health Records (EHRs).

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Olayiwola, J Nwando; Rubin, Ashley; Slomoff, Theo; Woldeyesus, Tem; Willard-Grace, Rachel

2016-01-01

The use of electronic health records (EHRs) and the vendors that develop them have increased exponentially in recent years. While there continues to emerge literature on the challenges EHRs have created related to primary care provider satisfaction and workflow, there is sparse literature on the perspective of the EHR vendors themselves. We examined the role of EHR vendors in optimizing primary care practice through a qualitative study of vendor leadership and developers representing 8 companies. We found that EHR vendors apply a range of strategies to elicit feedback from their clinical users and to engage selected users in their development and design process, but priorities are heavily influenced by the macroenvironment and government regulations. To improve the "marriage" between primary care and the EHR vendor community, we propose 6 strategies that may be most impactful for primary care stakeholders seeking to influence EHR development processes. © Copyright 2016 by the American Board of Family Medicine.

Dealing with organizational change when implementing EHR systems

DEFF Research Database (Denmark)

Høstgaard, Anne Marie; Nøhr, Christian

2004-01-01

The article is based upon a case study carried out at Skejby Hospital in Denmark. The research shows that the employees have some expectations when implementing an EHR system, thus hospital management provided the organization with important information before the implementation of a new EHR system....

International developments in openEHR archetypes and templates.

Science.gov (United States)

Leslie, Heather

Electronic Health Records (EHRs) are a complex knowledge domain. The ability to design EHRs to cope with the changing nature of health knowledge, and to be shareable, has been elusive. A recent pilot study1 tested the applicability of the CEN 13606 as an electronic health record standard. Using openEHR archetypes and tools2, 650 clinical content specifi cations (archetypes) were created (e.g. for blood pressure) and re-used across all clinical specialties and contexts. Groups of archetypes were aggregated in templates to support clinical information gathering or viewing (e.g. 80 separate archetypes make up the routine antenatal visit record). Over 60 templates were created for use in the emergency department, antenatal care and delivery of an infant, and paediatric hearing loss assessment. The primary goal is to define a logical clinical record architecture for the NHS but potentially, with archetypes as the keystone, shareable EHRs will also be attainable. Archetype and template development work is ongoing, with associated evaluation occurring in parallel.

Quality requirements for EHR archetypes.

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Kalra, Dipak; Tapuria, Archana; Austin, Tony; De Moor, Georges

2012-01-01

The realisation of semantic interoperability, in which any EHR data may be communicated between heterogeneous systems and fully understood by computers as well as people on receipt, is a challenging goal. Despite the use of standardised generic models for the EHR and standard terminology systems, too much optionality and variability exists in how particular clinical entries may be represented. Clinical archetypes provide a means of defining how generic models should be shaped and bound to terminology for specific kinds of clinical data. However, these will only contribute to semantic interoperability if libraries of archetypes can be built up consistently. This requires the establishment of design principles, editorial and governance policies, and further research to develop ways for archetype authors to structure clinical data and to use terminology consistently. Drawing on several years of work within communities of practice developing archetypes and implementing systems from them, this paper presents quality requirements for the development of archetypes. Clinical engagement on a wide scale is also needed to help grow libraries of good quality archetypes that can be certified. Vendor and eHealth programme engagement is needed to validate such archetypes and achieve safe, meaningful exchange of EHR data between systems.

ORBDA: An openEHR benchmark dataset for performance assessment of electronic health record servers.

Directory of Open Access Journals (Sweden)

Douglas Teodoro

Full Text Available The openEHR specifications are designed to support implementation of flexible and interoperable Electronic Health Record (EHR systems. Despite the increasing number of solutions based on the openEHR specifications, it is difficult to find publicly available healthcare datasets in the openEHR format that can be used to test, compare and validate different data persistence mechanisms for openEHR. To foster research on openEHR servers, we present the openEHR Benchmark Dataset, ORBDA, a very large healthcare benchmark dataset encoded using the openEHR formalism. To construct ORBDA, we extracted and cleaned a de-identified dataset from the Brazilian National Healthcare System (SUS containing hospitalisation and high complexity procedures information and formalised it using a set of openEHR archetypes and templates. Then, we implemented a tool to enrich the raw relational data and convert it into the openEHR model using the openEHR Java reference model library. The ORBDA dataset is available in composition, versioned composition and EHR openEHR representations in XML and JSON formats. In total, the dataset contains more than 150 million composition records. We describe the dataset and provide means to access it. Additionally, we demonstrate the usage of ORBDA for evaluating inserting throughput and query latency performances of some NoSQL database management systems. We believe that ORBDA is a valuable asset for assessing storage models for openEHR-based information systems during the software engineering process. It may also be a suitable component in future standardised benchmarking of available openEHR storage platforms.

ORBDA: An openEHR benchmark dataset for performance assessment of electronic health record servers

Science.gov (United States)

Sundvall, Erik; João Junior, Mario; Ruch, Patrick; Miranda Freire, Sergio

2018-01-01

The openEHR specifications are designed to support implementation of flexible and interoperable Electronic Health Record (EHR) systems. Despite the increasing number of solutions based on the openEHR specifications, it is difficult to find publicly available healthcare datasets in the openEHR format that can be used to test, compare and validate different data persistence mechanisms for openEHR. To foster research on openEHR servers, we present the openEHR Benchmark Dataset, ORBDA, a very large healthcare benchmark dataset encoded using the openEHR formalism. To construct ORBDA, we extracted and cleaned a de-identified dataset from the Brazilian National Healthcare System (SUS) containing hospitalisation and high complexity procedures information and formalised it using a set of openEHR archetypes and templates. Then, we implemented a tool to enrich the raw relational data and convert it into the openEHR model using the openEHR Java reference model library. The ORBDA dataset is available in composition, versioned composition and EHR openEHR representations in XML and JSON formats. In total, the dataset contains more than 150 million composition records. We describe the dataset and provide means to access it. Additionally, we demonstrate the usage of ORBDA for evaluating inserting throughput and query latency performances of some NoSQL database management systems. We believe that ORBDA is a valuable asset for assessing storage models for openEHR-based information systems during the software engineering process. It may also be a suitable component in future standardised benchmarking of available openEHR storage platforms. PMID:29293556

ORBDA: An openEHR benchmark dataset for performance assessment of electronic health record servers.

Science.gov (United States)

Teodoro, Douglas; Sundvall, Erik; João Junior, Mario; Ruch, Patrick; Miranda Freire, Sergio

2018-01-01

The openEHR specifications are designed to support implementation of flexible and interoperable Electronic Health Record (EHR) systems. Despite the increasing number of solutions based on the openEHR specifications, it is difficult to find publicly available healthcare datasets in the openEHR format that can be used to test, compare and validate different data persistence mechanisms for openEHR. To foster research on openEHR servers, we present the openEHR Benchmark Dataset, ORBDA, a very large healthcare benchmark dataset encoded using the openEHR formalism. To construct ORBDA, we extracted and cleaned a de-identified dataset from the Brazilian National Healthcare System (SUS) containing hospitalisation and high complexity procedures information and formalised it using a set of openEHR archetypes and templates. Then, we implemented a tool to enrich the raw relational data and convert it into the openEHR model using the openEHR Java reference model library. The ORBDA dataset is available in composition, versioned composition and EHR openEHR representations in XML and JSON formats. In total, the dataset contains more than 150 million composition records. We describe the dataset and provide means to access it. Additionally, we demonstrate the usage of ORBDA for evaluating inserting throughput and query latency performances of some NoSQL database management systems. We believe that ORBDA is a valuable asset for assessing storage models for openEHR-based information systems during the software engineering process. It may also be a suitable component in future standardised benchmarking of available openEHR storage platforms.

Advanced and secure architectural EHR approaches.

Science.gov (United States)

Blobel, Bernd

2006-01-01

Electronic Health Records (EHRs) provided as a lifelong patient record advance towards core applications of distributed and co-operating health information systems and health networks. For meeting the challenge of scalable, flexible, portable, secure EHR systems, the underlying EHR architecture must be based on the component paradigm and model driven, separating platform-independent and platform-specific models. Allowing manageable models, real systems must be decomposed and simplified. The resulting modelling approach has to follow the ISO Reference Model - Open Distributing Processing (RM-ODP). The ISO RM-ODP describes any system component from different perspectives. Platform-independent perspectives contain the enterprise view (business process, policies, scenarios, use cases), the information view (classes and associations) and the computational view (composition and decomposition), whereas platform-specific perspectives concern the engineering view (physical distribution and realisation) and the technology view (implementation details from protocols up to education and training) on system components. Those views have to be established for components reflecting aspects of all domains involved in healthcare environments including administrative, legal, medical, technical, etc. Thus, security-related component models reflecting all view mentioned have to be established for enabling both application and communication security services as integral part of the system's architecture. Beside decomposition and simplification of system regarding the different viewpoint on their components, different levels of systems' granularity can be defined hiding internals or focusing on properties of basic components to form a more complex structure. The resulting models describe both structure and behaviour of component-based systems. The described approach has been deployed in different projects defining EHR systems and their underlying architectural principles. In that context

Integrating Process Mining and Cognitive Analysis to Study EHR Workflow.

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Furniss, Stephanie K; Burton, Matthew M; Grando, Adela; Larson, David W; Kaufman, David R

2016-01-01

There are numerous methods to study workflow. However, few produce the kinds of in-depth analyses needed to understand EHR-mediated workflow. Here we investigated variations in clinicians' EHR workflow by integrating quantitative analysis of patterns of users' EHR-interactions with in-depth qualitative analysis of user performance. We characterized 6 clinicians' patterns of information-gathering using a sequential process-mining approach. The analysis revealed 519 different screen transition patterns performed across 1569 patient cases. No one pattern was followed for more than 10% of patient cases, the 15 most frequent patterns accounted for over half ofpatient cases (53%), and 27% of cases exhibited unique patterns. By triangulating quantitative and qualitative analyses, we found that participants' EHR-interactive behavior was associated with their routine processes, patient case complexity, and EHR default settings. The proposed approach has significant potential to inform resource allocation for observation and training. In-depth observations helped us to explain variation across users.

Longitudinal adoption rates of complex decision support tools in primary care.

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McCullagh, Lauren; Mann, Devin; Rosen, Lisa; Kannry, Joseph; McGinn, Thomas

2014-12-01

Translating research findings into practice promises to standardise care. Translation includes the integration of evidence-based guidelines at the point of care, discerning the best methods to disseminate research findings and models to sustain the implementation of best practices.By applying usability testing to clinical decision support(CDS) design, overall adoption rates of 60% can be realised.What has not been examined is how long adoption rates are sustained and the characteristics associated with long-term use. We conducted secondary analysis to decipher the factors impacting sustained use of CD Stools. This study was a secondary data analysis from a clinical trial conducted at an academic institution in New York City. Study data was identified patients electronic health records (EHR). The trial was to test the implementation of an integrated clinical prediction rule(iCPR) into the EHR. The primary outcome variable was iCPR tool acceptance of the tool. iCPR tool completion and iCPR smartest completion were additional outcome variables of interest. The secondary aim was to examine user characteristics associated with iCPR tool use in later time periods. Characteristics of interest included age, resident year, use of electronic health records (yes/no) and use of best practice alerts (BPA) (yes/no). Generalised linear mixed models (GLiMM) were used to compare iCPR use over time for each outcome of interest: namely, iCPR acceptance, iCPR completion and iCPR smartset completion.GLiMM was also used to examine resident characteristics associated with iCPR tool use in later time periods; specifically, intermediate and long-term (ie, 90+days). The tool was accepted, on average, 82.18% in the first 90 days (short-term period). The use decreases to 56.07% and 45.61% in intermediate and long-term time periods, respectively. There was a significant association between iCPR tool completion and time periods(pknowledge of the clinical prediction rule, or gained clinical

The value of EHR-based assessment of physician competency: An investigative effort with internal medicine physicians.

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Venta, Kimberly; Baker, Erin; Fidopiastis, Cali; Stanney, Kay

2017-12-01

The purpose of this study was to investigate the potential of developing an EHR-based model of physician competency, named the Skill Deficiency Evaluation Toolkit for Eliminating Competency-loss Trends (Skill-DETECT), which presents the opportunity to use EHR-based models to inform selection of Continued Medical Education (CME) opportunities specifically targeted at maintaining proficiency. The IBM Explorys platform provided outpatient Electronic Health Records (EHRs) representing 76 physicians with over 5000 patients combined. These data were used to develop the Skill-DETECT model, a predictive hybrid model composed of a rule-based model, logistic regression model, and a thresholding model, which predicts cognitive clinical skill deficiencies in internal medicine physicians. A three-phase approach was then used to statistically validate the model performance. Subject Matter Expert (SME) panel reviews resulted in a 100% overall approval rate of the rule based model. Area under the receiver-operating characteristic curves calculated for each logistic regression curve resulted in values between 0.76 and 0.92, which indicated exceptional performance. Normality, skewness, and kurtosis were determined and confirmed that the distribution of values output from the thresholding model were unimodal and peaked, which confirmed effectiveness and generalizability. The validation has confirmed that the Skill-DETECT model has a strong ability to evaluate EHR data and support the identification of internal medicine cognitive clinical skills that are deficient or are of higher likelihood of becoming deficient and thus require remediation, which will allow both physician and medical organizations to fine tune training efforts. Copyright © 2017 Elsevier B.V. All rights reserved.

Are all certified EHRs created equal? Assessing the relationship between EHR vendor and hospital meaningful use performance.

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Holmgren, A Jay; Adler-Milstein, Julia; McCullough, Jeffrey

2017-11-24

The federal electronic health record (EHR) certification process was intended to ensure a baseline level of system quality and the ability to support meaningful use criteria. We sought to assess whether there was variation across EHR vendors in the degree to which hospitals using products from those vendors were able to achieve high levels of performance on meaningful use criteria. We created a cross-sectional national hospital sample from the Office of the National Coordinator for Health Information Technology EHR Products Used for Meaningful Use Attestation public use file and the Centers for Medicare & Medicaid Services Medicare EHR Incentive Program Eligible Hospitals public use file. We used regression models to assess the relationship between vendor and hospital performance on 6 Stage 2 Meaningful Use criteria, controlling for hospital characteristics. We also calculated how much variation in performance is explained by vendor choice. We found significant associations between specific vendor and level of hospital performance for all 6 meaningful use criteria. Epic was associated with significantly higher performance on 5 of the 6 criteria; relationships for other vendors were mixed, with some associated with significantly worse performance on multiple criteria. EHR vendor choice accounted for between 7% and 34% of performance variation across the 6 criteria. A nontrivial proportion of variation in hospital meaningful use performance is explained by vendor choice, and certain vendors are more often associated with better meaningful use performance than others. Our results suggest that policy-makers should improve the certification process by including more "real-world" scenario testing and provider feedback or ratings to reduce this variation. Hospitals can use these results to guide interactions with vendors. Vendor choice accounts for a meaningful proportion of variation in hospital meaningful use performance, and specific vendors are consistently associated

Towards the Adoption of Open Source and Open Access Electronic Health Record Systems

Directory of Open Access Journals (Sweden)

Ilias Maglogiannis

2012-01-01

Full Text Available As the Electronic Health Record (EHR systems constantly expand to support more clinical activities and their implementations in healthcare organizations become more widespread, several communities have been working intensively for several years to develop open access and open source EHR software, aiming at reducing the costs of EHR deployment and maintenance. In this paper, we describe and evaluate the most popular open source electronic medical records such as openEMR, openMRS and patientOS, providing their technical features and potentials. These systems are considered quite important due to their prevalence. The article presents the key features of each system and outlines the advantages and problems of Open Source Software (OSS Systems through a review of the literature, in order to demonstrate the possibility of their adoption in modern electronic healthcare systems. Also discussed are the future trends of OS EHRs in the context of the Personal Health Records and mobile computing paradigm.

Provider and patient satisfaction with the integration of ambulatory and hospital EHR systems.

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Meyerhoefer, Chad D; Sherer, Susan A; Deily, Mary E; Chou, Shin-Yi; Guo, Xiaohui; Chen, Jie; Sheinberg, Michael; Levick, Donald

2018-05-16

The installation of EHR systems can disrupt operations at clinical practice sites, but also lead to improvements in information availability. We examined how the installation of an ambulatory EHR at OB/GYN practices and its subsequent interface with an inpatient perinatal EHR affected providers' satisfaction with the transmission of clinical information and patients' ratings of their care experience. We collected data on provider satisfaction through 4 survey rounds during the phased implementation of the EHR. Data on patient satisfaction were drawn from Press Ganey surveys issued by the healthcare network through a standard process. Using multivariable models, we determined how provider satisfaction with information transmission and patient satisfaction with their care experience changed as the EHR system allowed greater information flow between OB/GYN practices and the hospital. Outpatient OB/GYN providers became more satisfied with their access to information from the inpatient perinatal triage unit once system capabilities included automatic data flow from triage back to the OB/GYN offices. Yet physicians were generally less satisfied with how the EHR affected their work processes than other clinical and non-clinical staff. Patient satisfaction dropped after initial EHR installation, and we find no evidence of increased satisfaction linked to system integration. Dissatisfaction of providers with an EHR system and difficulties incorporating EHR technology into patient care may negatively impact patient satisfaction. Care must be taken during EHR implementations to maintain good communication with patients while satisfying documentation requirements.

Exploring physicians' extended use of electronic health records (EHRs): A social influence perspective.

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Wang, Wen; Zhao, Xiping; Sun, Jinglei; Zhou, Guangquan

2016-12-01

Once electronic health records (EHRs) have been fully implemented and integrated into the daily work of a healthcare organisation/hospital, there is considerable pressure on management to demonstrate the benefits that these systems can deliver to the organisation. One practical way to maximise the value and highlight the benefits of EHRs is to encourage physicians to increase and extend their use of EHR functions. This study used a social influence theory context to examine the impact of mechanisms of social influence on the intentions of physicians to extend their use of EHRs. A survey of physicians (n = 205) in a first-class comprehensive hospital in southern China was conducted approximately 2 years after the hospital's introduction of EHRs. A 16-item questionnaire was developed to measure the impact of four social influence factors (reward, punishment, social image and group norm) on physicians' intentions to extend their use of EHRs. The research model included two additional control variables (perceived usefulness and perceived ease of use) to account for potential covariance among social influence measures. The study's research model showed significant relationships between physicians' responses on two of the social influence measures (rewards and group norm) and their intentions to extend their use of EHRs. Punishment and social image measures did not influence physicians' intentions to increase their use of EHRs. These findings have suggested that for healthcare organisations to maximise the benefits of EHRs, the efforts of hospital management should be directed towards rewarding those physicians who increase their use of EHRs; and to promoting and reinforcing the increased usage of EHRs among physicians as a group norm. © The Author(s) 2016.

Adoption of Electronic Health Records

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Grabenbauer, L; Fraser, R.; McClay, J.; Woelfl, N.; Thompson, C.B.; Cambell, J.; Windle, J.

2011-01-01

Objective Less than 20% of hospitals in the US have an electronic health record (EHR). In this qualitative study, we examine the perspectives of both academic and private physicians and administrators as stakeholders, and their alignment, to explore their perspectives on the use of technology in the clinical environment. Methods Focus groups were conducted with 74 participants who were asked a series of open-ended questions. Grounded theory was used to analyze the transcribed data and build convergent themes. The relevance and importance of themes was constructed by examining frequency, convergence, and intensity. A model was proposed that represents the interactions between themes. Results Six major themes emerged, which include the impact of EHR systems on workflow, patient care, communication, research/outcomes/billing, education/learning, and institutional culture. Academic and private physicians were confident of the future benefits of EHR systems, yet cautious about the current implementations of EHR, and its impact on interactions with other members of the healthcare team and with patients, and the amount of time necessary to use EHR’s. Private physicians differed on education and were uneasy about the steep learning curve necessary for use of new systems. In contrast to physicians, university and hospital administrators are optimistic, and value the availability of data for use in reporting. Conclusion The results of our study indicate that both private and academic physicians concur on the need for features that maintain and enhance the relationship with the patient and the healthcare team. Resistance to adoption is related to insufficient functionality and its potential negative impact on patient care. Integration of data collection into clinical workflows must consider the unexpected costs of data acquisition. PMID:23616868

The Effect of a Learning Environment Using an Electronic Health Record (EHR) on Undergraduate Nursing Students' Behaviorial Intention to Use an EHR

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Foley, Shawn

2011-01-01

The purpose of this study was to explore the effect of a learning environment using an Electronic Health Record (EHR) on undergraduate nursing students' behavioral intention (BI) to use an EHR. BI is defined by Davis (1989) in the Technology Acceptance Model (TAM) as the degree to which a person has formulated conscious plans to perform or not…

Safer electronic health records safety assurance factors for EHR resilience

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Sittig, Dean F

2015-01-01

This important volume provide a one-stop resource on the SAFER Guides along with the guides themselves and information on their use, development, and evaluation. The Safety Assurance Factors for EHR Resilience (SAFER) guides, developed by the editors of this book, identify recommended practices to optimize the safety and safe use of electronic health records (EHRs). These guides are designed to help organizations self-assess the safety and effectiveness of their EHR implementations, identify specific areas of vulnerability, and change their cultures and practices to mitigate risks.This book pr

Computerised Provider Order Entry Adoption Rates Favourably Impact Length of Stay

Directory of Open Access Journals (Sweden)

Richard Schreiber

2016-04-01

Full Text Available Background Research regarding return on investment for electronic health records (EHRs is sparse. Objective To extend previously established research and examine rigorously whether increasing the adoption of computer-based provider/prescriber order entry (CPOE leads to a decrease in length of stay (LOS, and to demonstrate that the two are inversely and bidirectionally proportional even while other efforts to decrease LOS are in place. Method The study assessed CPOE, LOS and case mix index (CMI data in a community hospital in the United States, using a mature and nearly fully deployed vendor product EHR. CPOE rates and LOS over 7 years were determined on a per-patient, per-visit and per-discipline basis and compared with concomitant CMI data. Results An inverse relationship of CPOE to LOS was correlated for 13 disciplines out of 19, and organisation wide for all disciplines combined during the first 5 years of study. During the subsequent 2 years, both CPOE and LOS plateaued, except in eight disciplines where CPOE rates at first declined and LOS concurrently rose slightly, and then returned to the baseline plateau levels. CMI increased during the entire period of evaluation. An inflection point at approximately 60% CPOE adoption predicted the greatest improvement in lowering of LOS. Conclusions Rising and falling rates of CPOE correlated with reductions and rises in LOS, respectively. CPOE appeared statistically to be an independent factor in affecting LOS, over and above other efforts to shorten LOS, thus contributing to lower costs and improved efficiency outcomes as measured by LOS, even as CMI rises.

Effects of exam room EHR use on doctor-patient communication: a systematic literature review.

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Kazmi, Zainab

2013-01-01

High levels of funding have been invested in health information technologies, especially electronic health records (EHRs), in an effect to coordinate and organize patient health data. However, the effect of EHRs in the exam room on doctor-patient communication has not been sufficiently explored. Objective The purpose of this systematic review was to determine how physician use of EHRs in medical consultations affects doctor-patient communication, both in terms of patient perceptions and actual physician behaviours. The reviewer conducted a comprehensive online database search in March 2013 of EMBASE, MEDLINE, and SCOPUS, using a combination of synonyms of the terms "patient", "doctor", "communication", and "EHR" or "computing". For inclusion in this review, articles had to be published in English, take place in an outpatient setting and demonstrate an empirical investigation into whether EHR affects doctor-patient communication. The reviewer then analysed 13 articles that met the inclusion criteria. Studies showed EHR use encouraged biomedical questioning of the patient, and encouraged patient-led questioning and doctor-led information provision. EHR-related behaviours such as keyboarding and screen gaze impaired relationships with patients, by reducing eye contact, rapport, and provision of emotional support. EHRs negatively affected physician-led patient-centred communication. Computer use may have amplified existing physician behaviours regarding medical record use. We noted both positive and negative effects of EHR use. This review highlights the need for increased EHR-specific communication training to mitigate adverse effects and for continued acknowledgement of patient perspectives.

Monitoring the development and diffusion of EHR systems in Denmark

DEFF Research Database (Denmark)

Nøhr, Christian; Andersen, Stig Kjær; Vingtoft, Søren

2003-01-01

The danish EHR Oberservatory has monitored Danish EHR projects for several years with respect to a number of parameters such as diffusion, diffusin rate, barriers and limitations, and experience gained. The results of the 2002 monitoring reveal that investment in IT is relatively low...

EHR implementation in South Africa: how do we get it right?

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Yogeswaran, Parimalaranie; Wright, Graham

2010-01-01

In an environment of expanding demand on the health care system to provide equitable, accessible and safe health care, usage of information communication technology is one of the strategies identified to fulfil such expectations. Electronic Health Record (EHR) is an important tool towards achieving better health care using such technology, although, across the world EHR implementation has experienced a high failure rate. Nevertheless South Africa has made a strategic decision to implement EHR system in the public health sector. An evaluation toolkit was developed, to measure the state of readiness of health institutions in South Africa in implementing EHR based on Kaplan and Norton's work on Balanced Score Card (BSC), and the subsequent variant model developed by Protti. A Critical Success Factor (CSF) scorecard to assess the state of readiness and a Balanced Score Card matrix to be used as a strategic framework was developed. These tools were validated using critiques by a panel of experts. The toolkit developed has the potential to assist the organization towards a better EHR implementation path.

Predicting all-cause risk of 30-day hospital readmission using artificial neural networks.

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Jamei, Mehdi; Nisnevich, Aleksandr; Wetchler, Everett; Sudat, Sylvia; Liu, Eric

2017-01-01

Avoidable hospital readmissions not only contribute to the high costs of healthcare in the US, but also have an impact on the quality of care for patients. Large scale adoption of Electronic Health Records (EHR) has created the opportunity to proactively identify patients with high risk of hospital readmission, and apply effective interventions to mitigate that risk. To that end, in the past, numerous machine-learning models have been employed to predict the risk of 30-day hospital readmission. However, the need for an accurate and real-time predictive model, suitable for hospital setting applications still exists. Here, using data from more than 300,000 hospital stays in California from Sutter Health's EHR system, we built and tested an artificial neural network (NN) model based on Google's TensorFlow library. Through comparison with other traditional and non-traditional models, we demonstrated that neural networks are great candidates to capture the complexity and interdependency of various data fields in EHRs. LACE, the current industry standard, showed a precision (PPV) of 0.20 in identifying high-risk patients in our database. In contrast, our NN model yielded a PPV of 0.24, which is a 20% improvement over LACE. Additionally, we discussed the predictive power of Social Determinants of Health (SDoH) data, and presented a simple cost analysis to assist hospitalists in implementing helpful and cost-effective post-discharge interventions.

Clinical code set engineering for reusing EHR data for research: A review.

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Williams, Richard; Kontopantelis, Evangelos; Buchan, Iain; Peek, Niels

2017-06-01

The construction of reliable, reusable clinical code sets is essential when re-using Electronic Health Record (EHR) data for research. Yet code set definitions are rarely transparent and their sharing is almost non-existent. There is a lack of methodological standards for the management (construction, sharing, revision and reuse) of clinical code sets which needs to be addressed to ensure the reliability and credibility of studies which use code sets. To review methodological literature on the management of sets of clinical codes used in research on clinical databases and to provide a list of best practice recommendations for future studies and software tools. We performed an exhaustive search for methodological papers about clinical code set engineering for re-using EHR data in research. This was supplemented with papers identified by snowball sampling. In addition, a list of e-phenotyping systems was constructed by merging references from several systematic reviews on this topic, and the processes adopted by those systems for code set management was reviewed. Thirty methodological papers were reviewed. Common approaches included: creating an initial list of synonyms for the condition of interest (n=20); making use of the hierarchical nature of coding terminologies during searching (n=23); reviewing sets with clinician input (n=20); and reusing and updating an existing code set (n=20). Several open source software tools (n=3) were discovered. There is a need for software tools that enable users to easily and quickly create, revise, extend, review and share code sets and we provide a list of recommendations for their design and implementation. Research re-using EHR data could be improved through the further development, more widespread use and routine reporting of the methods by which clinical codes were selected. Copyright © 2017 The Author(s). Published by Elsevier Inc. All rights reserved.

Patients' safety in the era of EMR/EHR automation

Directory of Open Access Journals (Sweden)

Bakheet Aldosari

2017-01-01

Full Text Available Accurate maintenance of the medical records of patients has become a worldwide problem with the rapid rise in the count of patients. Furthermore, providing them adequate health care keeping their safety in view is turning into a great challenge for physicians. As such, electronic health records (EHRs were developed to solve these issues by aiding physicians in imparting quality health care to patients as well as maintaining their safety. Nonetheless, rather than increasing their efficiency, EHRs have become a burden for the physicians as they ultimately increase their error rate and reduce output rate affecting patient safety. As health-IT is advancing progressively, new features are added to the existing EHRs with the aim to support physicians in providing better healthcare. Till date, some of the most advanced features include clinical support decision system (CDSS, computerized physician order entry (CPOE system, health information exchange (HIE, mobile documentation application, and a system of safety alerts on a dashboard. Proper training to the physicians on judiciously usage of these EHR functions is required to extract maximum benefit. Else, these can introduce a considerable number of medical errors, which can result in fatal outcomes for the patients.

Does adoption of electronic health records improve the quality of care management in France? Results from the French e-SI (PREPS-SIPS) study.

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Plantier, Morgane; Havet, Nathalie; Durand, Thierry; Caquot, Nicolas; Amaz, Camille; Biron, Pierre; Philip, Irène; Perrier, Lionel

2017-06-01

Electronic health records (EHR) are increasingly being adopted by healthcare systems worldwide. In France, the "Hôpital numérique 2012-2017" program was implemented as part of a strategic plan to modernize health information technology (HIT), including the promotion of widespread EHR use. With significant upfront investment costs as well as ongoing operational expenses, it is important to assess this system in terms of its ability to result in improvements in hospital performances. The aim of this study was to evaluate the impact of EHR use on the quality of care management in acute care hospitals throughout France. This retrospective study was based on data derived from three national databases for the year 2011: IPAQSS (indicators of improvement in the quality and the management of healthcare, "IPAQSS"), Hospi-Diag (French hospital performance indicators), and the national accreditation database. Several multivariate models were used to examine the association between the use of EHRs and specific EHR features with four quality indicators: the quality of patient record, the delay in sending information at hospital discharge, the pain status evaluation, and the nutritional status evaluation, while also adjusting for hospital characteristics. The models revealed a significant positive impact of EHR use on the four quality indicators. Additionally, they showed a differential impact according to the functionality of the element of the health record that was computerized. All four quality indicators were also impacted by the type of hospital, the geographical region, and the severity of the pathology. These results suggest that, to improve the quality of care management in hospitals, EHR adoption represents an important lever. They complete previous work dealing with EHR and the organizational performance of hospital surgical units. Copyright © 2017 Elsevier B.V. All rights reserved.

EHR Incentive Programs - Data and Reports

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U.S. Department of Health & Human Services — As of March 2013, more than 259,000 health care providers received payment for participating in the Medicare and Medicaid Electronic Health Record (EHR) Incentive...

Dynamic CDM strategies in an EHR environment.

Science.gov (United States)

Bieker, Michael; Bailey, Spencer

2012-02-01

A dynamic charge description master (CDM) integrates information from clinical ancillary systems into the charge-capture process, so an organization can reduce its reliance on the patient accounting system as the sole source of billing information. By leveraging the information from electronic ancillary systems, providers can eliminate the need for paper charge-capture forms and see increased accuracy and efficiency in the maintenance of billing information. Before embarking on a dynamic CDM strategy, organizations should first determine their goals for implementing an EHR system, include revenue cycle leaders on the EHR implementation team, and carefully weigh the pros and cons of CDM design decisions.

Adoption of health information technologies by physicians for clinical practice

DEFF Research Database (Denmark)

Villalba-Mora, Elena; Casas, Isabel; Lupiañez-Villanueva, Francisco

2015-01-01

OBJECTIVES: We investigated the level of adoption of Health Information Technologies (HIT) services, and the factors that influence this, amongst specialised and primary care physicians; in Andalusia, Spain. METHODS: We analysed the physicians' responses to an online survey. First, we performed...... Technologies: Electronic Health Records (EHR), ePrescription and patient management and telemedicine services. Results from an ordered logit model showed that the frequency of use of HIT is associated with the physicians' perceived usefulness. Lack of financing appeared as a common barrier to the adoption...

Domain Modeling and Application Development of an Archetype- and XML-based EHRS. Practical Experiences and Lessons Learnt.

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Kropf, Stefan; Chalopin, Claire; Lindner, Dirk; Denecke, Kerstin

2017-06-28

Access to patient data within the hospital or between hospitals is still problematic since a variety of information systems is in use applying different vendor specific terminologies and underlying knowledge models. Beyond, the development of electronic health record systems (EHRSs) is time and resource consuming. Thus, there is a substantial need for a development strategy of standardized EHRSs. We are applying a reuse-oriented process model and demonstrate its feasibility and realization on a practical medical use case, which is an EHRS holding all relevant data arising in the context of treatment of tumors of the sella region. In this paper, we describe the development process and our practical experiences. Requirements towards the development of the EHRS were collected by interviews with a neurosurgeon and patient data analysis. For modelling of patient data, we selected openEHR as standard and exploited the software tools provided by the openEHR foundation. The patient information model forms the core of the development process, which comprises the EHR generation and the implementation of an EHRS architecture. Moreover, a reuse-oriented process model from the business domain was adapted to the development of the EHRS. The reuse-oriented process model is a model for a suitable abstraction of both, modeling and development of an EHR centralized EHRS. The information modeling process resulted in 18 archetypes that were aggregated in a template and built the boilerplate of the model driven development. The EHRs and the EHRS were developed by openEHR and W3C standards, tightly supported by well-established XML techniques. The GUI of the final EHRS integrates and visualizes information from various examinations, medical reports, findings and laboratory test results. We conclude that the development of a standardized overarching EHR and an EHRS is feasible using openEHR and W3C standards, enabling a high degree of semantic interoperability. The standardized

Measurement of the Clinical Usability of a Configurable EHR

DEFF Research Database (Denmark)

Møller-Jensen, John; Lund Pedersen, Ivan; Simonsen, Jesper

2006-01-01

during a series of workshops with the clinicians after which the XML configuration files were written and deployed. In parallel with this, the participants from the University identified, prioritised and further specified a number of effects related to the clinical practice to be measured. The effects......The objective of the project was to measure the clinical usability of an EHR configured by use of participatory design with clinicians from a neurological stroke unit in order to get input to the County’s future strategy for incremental implementation of EHR. The content of the EHR was defined...... requested by the clinicians focused on improving their overview and assessment of patients as well as on more efficient coordination in three specific and highly cooperative situations, viz. nursing handover, ward round and patient conference. All three situations were measured before (using paper...

Cost-benefit assessment of using electronic health records data for clinical research versus current practices: Contribution of the Electronic Health Records for Clinical Research (EHR4CR) European Project.

Science.gov (United States)

Beresniak, Ariel; Schmidt, Andreas; Proeve, Johann; Bolanos, Elena; Patel, Neelam; Ammour, Nadir; Sundgren, Mats; Ericson, Mats; Karakoyun, Töresin; Coorevits, Pascal; Kalra, Dipak; De Moor, Georges; Dupont, Danielle

2016-01-01

The widespread adoption of electronic health records (EHR) provides a new opportunity to improve the efficiency of clinical research. The European EHR4CR (Electronic Health Records for Clinical Research) 4-year project has developed an innovative technological platform to enable the re-use of EHR data for clinical research. The objective of this cost-benefit assessment (CBA) is to assess the value of EHR4CR solutions compared to current practices, from the perspective of sponsors of clinical trials. A CBA model was developed using an advanced modeling approach. The costs of performing three clinical research scenarios (S) applied to a hypothetical Phase II or III oncology clinical trial workflow (reference case) were estimated under current and EHR4CR conditions, namely protocol feasibility assessment (S1), patient identification for recruitment (S2), and clinical study execution (S3). The potential benefits were calculated considering that the estimated reduction in actual person-time and costs for performing EHR4CR S1, S2, and S3 would accelerate time to market (TTM). Probabilistic sensitivity analyses using Monte Carlo simulations were conducted to manage uncertainty. Should the estimated efficiency gains achieved with the EHR4CR platform translate into faster TTM, the expected benefits for the global pharmaceutical oncology sector were estimated at €161.5m (S1), €45.7m (S2), €204.5m (S1+S2), €1906m (S3), and up to €2121.8m (S1+S2+S3) when the scenarios were used sequentially. The results suggest that optimizing clinical trial design and execution with the EHR4CR platform would generate substantial added value for pharmaceutical industry, as main sponsors of clinical trials in Europe, and beyond. Copyright © 2015 Elsevier Inc. All rights reserved.

Predicting all-cause risk of 30-day hospital readmission using artificial neural networks.

Directory of Open Access Journals (Sweden)

Mehdi Jamei

Full Text Available Avoidable hospital readmissions not only contribute to the high costs of healthcare in the US, but also have an impact on the quality of care for patients. Large scale adoption of Electronic Health Records (EHR has created the opportunity to proactively identify patients with high risk of hospital readmission, and apply effective interventions to mitigate that risk. To that end, in the past, numerous machine-learning models have been employed to predict the risk of 30-day hospital readmission. However, the need for an accurate and real-time predictive model, suitable for hospital setting applications still exists. Here, using data from more than 300,000 hospital stays in California from Sutter Health's EHR system, we built and tested an artificial neural network (NN model based on Google's TensorFlow library. Through comparison with other traditional and non-traditional models, we demonstrated that neural networks are great candidates to capture the complexity and interdependency of various data fields in EHRs. LACE, the current industry standard, showed a precision (PPV of 0.20 in identifying high-risk patients in our database. In contrast, our NN model yielded a PPV of 0.24, which is a 20% improvement over LACE. Additionally, we discussed the predictive power of Social Determinants of Health (SDoH data, and presented a simple cost analysis to assist hospitalists in implementing helpful and cost-effective post-discharge interventions.

A Bayesian network model for predicting type 2 diabetes risk based on electronic health records

Science.gov (United States)

Xie, Jiang; Liu, Yan; Zeng, Xu; Zhang, Wu; Mei, Zhen

2017-07-01

An extensive, in-depth study of diabetes risk factors (DBRF) is of crucial importance to prevent (or reduce) the chance of suffering from type 2 diabetes (T2D). Accumulation of electronic health records (EHRs) makes it possible to build nonlinear relationships between risk factors and diabetes. However, the current DBRF researches mainly focus on qualitative analyses, and the inconformity of physical examination items makes the risk factors likely to be lost, which drives us to study the novel machine learning approach for risk model development. In this paper, we use Bayesian networks (BNs) to analyze the relationship between physical examination information and T2D, and to quantify the link between risk factors and T2D. Furthermore, with the quantitative analyses of DBRF, we adopt EHR and propose a machine learning approach based on BNs to predict the risk of T2D. The experiments demonstrate that our approach can lead to better predictive performance than the classical risk model.

Electronic health records, adoption, quality of care, legal and privacy issues and their implementation in emergency departments.

Science.gov (United States)

Ben-Assuli, Ofir

2015-03-01

Recently, the healthcare sector has shown a growing interest in information technologies. Two popular health IT (HIT) products are the electronic health record (EHR) and health information exchange (HIE) networks. The introduction of these tools is believed to improve care, but has also raised some important questions and legal and privacy issues. The implementation of these systems has not gone smoothly, and still faces some considerable barriers. This article reviews EHR and HIE to address these obstacles, and analyzes the current state of development and adoption in various countries around the world. Moreover, legal and ethical concerns that may be encountered by EHR users and purchasers are reviewed. Finally, links and interrelations between EHR and HIE and several quality of care issues in today's healthcare domain are examined with a focus on EHR and HIE in the emergency department (ED), whose unique characteristics makes it an environment in which the implementation of such technology may be a major contributor to health, but also faces substantial challenges. The paper ends with a discussion of specific policy implications and recommendations based on an examination of the current limitations of these systems. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Barriers Against Adoption of Electronic Health Record in Italy

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Stefano Bonacina

2011-01-01

Full Text Available This work aims to expose the barriers which work against the satisfactory adoption and utilization of Electronic Health Records (EHRs in Italy. Experts from six operating areas were involved where barriers associated with practical daily use of EHRs might arise. Experts disclosed different barriers in their operating areas: the low interoperability of healthcare system infrastructures in diagnostic services; the lack of systems able to represent complex processes characterized by uncertainties in hospital wards; the unsatisfactory information exchange between heterogeneous healthcare providers in territorial healthcare; the lack of models and guidelines for administration process management; the lack of Health Information engineers who are recognized as professionals in Italian hospitals; the lack of domain vocabularies and ontologies for conceptual integration in clinical communication. Our findings suggest how future solutions must be designed considering the environment of specific areas.

Building a house on shifting sand: methodological considerations when evaluating the implementation and adoption of national electronic health record systems

Directory of Open Access Journals (Sweden)

Takian Amirhossein

2012-04-01

Full Text Available Abstract Background A commitment to Electronic Health Record (EHR systems now constitutes a core part of many governments’ healthcare reform strategies. The resulting politically-initiated large-scale or national EHR endeavors are challenging because of their ambitious agendas of change, the scale of resources needed to make them work, the (relatively short timescales set, and the large number of stakeholders involved, all of whom pursue somewhat different interests. These initiatives need to be evaluated to establish if they improve care and represent value for money. Methods Critical reflections on these complexities in the light of experience of undertaking the first national, longitudinal, and sociotechnical evaluation of the implementation and adoption of England’s National Health Service’s Care Records Service (NHS CRS. Results/discussion We advance two key arguments. First, national programs for EHR implementations are likely to take place in the shifting sands of evolving sociopolitical and sociotechnical and contexts, which are likely to shape them in significant ways. This poses challenges to conventional evaluation approaches which draw on a model of baseline operations → intervention → changed operations (outcome. Second, evaluation of such programs must account for this changing context by adapting to it. This requires careful and creative choice of ontological, epistemological and methodological assumptions. Summary New and significant challenges are faced in evaluating national EHR implementation endeavors. Based on experiences from this national evaluation of the implementation and adoption of the NHS CRS in England, we argue for an approach to these evaluations which moves away from seeing EHR systems as Information and Communication Technologies (ICT projects requiring an essentially outcome-centred assessment towards a more interpretive approach that reflects the situated and evolving nature of EHR seen within

Building a house on shifting sand: methodological considerations when evaluating the implementation and adoption of national electronic health record systems.

Science.gov (United States)

Takian, Amirhossein; Petrakaki, Dimitra; Cornford, Tony; Sheikh, Aziz; Barber, Nicholas

2012-04-30

A commitment to Electronic Health Record (EHR) systems now constitutes a core part of many governments' healthcare reform strategies. The resulting politically-initiated large-scale or national EHR endeavors are challenging because of their ambitious agendas of change, the scale of resources needed to make them work, the (relatively) short timescales set, and the large number of stakeholders involved, all of whom pursue somewhat different interests. These initiatives need to be evaluated to establish if they improve care and represent value for money. Critical reflections on these complexities in the light of experience of undertaking the first national, longitudinal, and sociotechnical evaluation of the implementation and adoption of England's National Health Service's Care Records Service (NHS CRS). We advance two key arguments. First, national programs for EHR implementations are likely to take place in the shifting sands of evolving sociopolitical and sociotechnical and contexts, which are likely to shape them in significant ways. This poses challenges to conventional evaluation approaches which draw on a model of baseline operations → intervention → changed operations (outcome). Second, evaluation of such programs must account for this changing context by adapting to it. This requires careful and creative choice of ontological, epistemological and methodological assumptions. New and significant challenges are faced in evaluating national EHR implementation endeavors. Based on experiences from this national evaluation of the implementation and adoption of the NHS CRS in England, we argue for an approach to these evaluations which moves away from seeing EHR systems as Information and Communication Technologies (ICT) projects requiring an essentially outcome-centred assessment towards a more interpretive approach that reflects the situated and evolving nature of EHR seen within multiple specific settings and reflecting a constantly changing milieu of policies

"Meaningful use" of EHR in dental school clinics: how to benefit from the U.S. HITECH Act's financial and quality improvement incentives.

Science.gov (United States)

Kalenderian, Elsbeth; Walji, Muhammad; Ramoni, Rachel B

2013-04-01

Through the 2009 HITECH (Health Information Technology for Economic and Clinical Health) Act, the U.S. government committed $27 billion to incentivize the adoption and "meaningful use" of certified electronic health records (EHRs) by providers, including dentists. Given their patient profiles, dental school clinics are in a position to benefit from this time-delimited commitment to support the adoption and use of certified EHR technology under the Medicaid-based incentive. The benefits are not merely financial: rather, the meaningful use objectives and clinical quality measures can drive quality improvement initiatives within dental practices and help develop a community of medical and dental professionals focused on quality. This article describes how dentists can qualify as eligible providers and the set of activities that must be undertaken and attested to in order to obtain this incentive. Two case studies describe the approaches that can be used to meet the Medicaid threshold necessary to be eligible for the incentive. Dentists can and have successfully applied for meaningful use incentive payments. Given the diverse set of patients who are treated at dental schools, these dental practices are among those most likely to benefit from the incentive programs.

45 CFR 170.470 - Effect of revocation on the certifications issued to complete EHRs and EHR Modules.

Science.gov (United States)

2010-10-01

... HUMAN SERVICES HEALTH INFORMATION TECHNOLOGY HEALTH INFORMATION TECHNOLOGY STANDARDS, IMPLEMENTATION SPECIFICATIONS, AND CERTIFICATION CRITERIA AND CERTIFICATION PROGRAMS FOR HEALTH INFORMATION TECHNOLOGY Temporary Certification Program for HIT § 170.470 Effect of revocation on the certifications issued to complete EHRs and...

Facilitating secondary use of medical data by using openEHR archetypes.

Science.gov (United States)

Kohl, Christian D; Garde, Sebastian; Knaup, Petra

2010-01-01

Clinical trials are of high importance for medical progress. But even though more and more clinical data is available in electronic patient records (EPRs) and more and more electronic data capture (EDC) systems are used in trials, there is still a gap which makes EPR / EDC interoperability difficult and hampers secondary use of medical routine data. The openEHR architecture for Electronic Health Records is based on a two level modeling approach which makes use of 'archetypes'. We want to analyze whether archetypes can help to bridge this gap by building an integrated EPR / EDC system based on openEHR archetypes. We used the 'openEHR Reference Framework and Application' (Opereffa) and existing archetypes for medical data. Furthermore, we developed dedicated archetypes to document study meta data. We developed a first prototype implementation of an archetype based integrated EPR / EDC system. Next steps will be the evaluation of an extended prototype in a real clinical trial scenario. Opereffa was a good starting point for our work. OpenEHR archetypes proved useful for secondary use of health data.

Annotating Logical Forms for EHR Questions.

Science.gov (United States)

Roberts, Kirk; Demner-Fushman, Dina

2016-05-01

This paper discusses the creation of a semantically annotated corpus of questions about patient data in electronic health records (EHRs). The goal is to provide the training data necessary for semantic parsers to automatically convert EHR questions into a structured query. A layered annotation strategy is used which mirrors a typical natural language processing (NLP) pipeline. First, questions are syntactically analyzed to identify multi-part questions. Second, medical concepts are recognized and normalized to a clinical ontology. Finally, logical forms are created using a lambda calculus representation. We use a corpus of 446 questions asking for patient-specific information. From these, 468 specific questions are found containing 259 unique medical concepts and requiring 53 unique predicates to represent the logical forms. We further present detailed characteristics of the corpus, including inter-annotator agreement results, and describe the challenges automatic NLP systems will face on this task.

Measuring Effects on the Clinical Practice from a Configured EHR

DEFF Research Database (Denmark)

Møller-Jensen, John; Simonsen, Jesper; K. Iversen, Rikke

2006-01-01

during a series of workshops with the clinicians after which the XML configuration files were written and deployed. In parallel with this, the participants from the University specified a number of effects related to the clinical practice to be measured. Measurements were focused on the requested effects......The objective of the project was to measure the clinical usability of an EHR configured by use of participatory design with clinicians from a neurological stroke unit in order to get input to the County’s future strategy for incremental implementation of EHR. The content of the EHR was defined...... and acquired using various techniques including questionnaires, interviews, observations, and Task Load Index (TLX) ratings. In total, 15 nursing handovers, 8 ward rounds, and 11 patient conferences involving a total of 35 patients and more than 20 clinicians were included in the measurements. Data from...

Development of a tripolar model of technology acceptance: Hospital-based physicians' perspective on EHR.

Science.gov (United States)

Beglaryan, Mher; Petrosyan, Varduhi; Bunker, Edward

2017-06-01

effects through projected collective usefulness, perceived usefulness, and perceived ease of use. The model reconciles individual-oriented and environment-oriented theoretical approaches and proposes a Tripolar Model of Technology Acceptance (TMTA), bringing together three key pillars of the healthcare: patients, practitioners, and provider organizations. The proposed TMTA explains 85% of variance of behavioral intention to use technology. The current study draws from the barriers of EHR implementation and identifies major determinants of technology acceptance among physicians. The study proposes TMTA as affording stronger explanative and predictive abilities for the health care system. TMTA paves a long overlooked gap in TAM and its descendants, which, in organizational settings, might distort construal of technology acceptance. It also explicates with greater depth the interdependence of different participants of the healthcare and complex interactions between healthcare and technologies. Copyright © 2017 Elsevier B.V. All rights reserved.

Predicting Public Bicycle Adoption Using the Technology Acceptance Model

Directory of Open Access Journals (Sweden)

Benjamin T. Hazen

2015-10-01

Full Text Available Bicycle sharing programs provide a sustainable mode of urban transportation. Although cities across the globe have developed these systems for their citizens and visitors, usage rates are not as high as anticipated. This research uses the technology acceptance model as the basis to understand one’s intention to adopt bicycle sharing programs. Using survey data derived from 421 participants in Beijing, China, the proposed covariance-based structural equation model consisting of perceived quality, perceived convenience, and perceived value is found to predict 50.5% of the variance in adoption intention. The findings of this research contribute to theory and practice in the burgeoning literature on public bicycle systems and sustainable urban transportation by offering a theoretical lens through which to consider system adoption, and providing information to practitioners as to what factors might contribute most to adoption.

The challenge of electronic health records (EHRs) design and implementation: responses of health workers to drawing a 'big and rich picture' of a future EHR programme using animated tools.

Science.gov (United States)

Jenkings, K Neil; Wilson, Robert G

2007-01-01

To investigate the use of animation tools to aid visualisation of problems for discussion within focus groups, in the context of healthcare workers discussing electronic health records (EHRs). Ten healthcare staff focus groups, held in a range of organisational contexts. Each focus group was in four stages: baseline discussion, animator presentation, post-animator discussion and questionnaire. Audio recordings of the focus groups were transcribed and coded and the emergent analytic themes analysed for issues relating to EHR design and implementation. The data allowed a comparison of baseline and post-animator discussion. The animator facilitated discussion about EHR issues and these were thematically coded as: Workload; Sharing Information; Access to Information; Record Content; Confidentiality; Patient Consent; and Implementation. We illustrate that use of the animator in focus groups is one means to raise understanding about a proposed EHR development. The animator provided a visual 'probe' to support a more proactive and discursive localised approach to end-user concerns, which could be part of an effective stakeholder engagement and communication strategy crucial in any EHR or health informatics implementation programme. The results of the focus groups were to raise salient issues and concerns, many of which anticipated those that have emerged in the current NHS Connecting for Health Care Records programme in England. Potentially, animator-type technologies may facilitate the user ownership which other forms of dissemination appear to be failing to achieve.

CDAPubMed: a browser extension to retrieve EHR-based biomedical literature

Directory of Open Access Journals (Sweden)

Perez-Rey David

2012-04-01

Full Text Available Abstract Background Over the last few decades, the ever-increasing output of scientific publications has led to new challenges to keep up to date with the literature. In the biomedical area, this growth has introduced new requirements for professionals, e.g., physicians, who have to locate the exact papers that they need for their clinical and research work amongst a huge number of publications. Against this backdrop, novel information retrieval methods are even more necessary. While web search engines are widespread in many areas, facilitating access to all kinds of information, additional tools are required to automatically link information retrieved from these engines to specific biomedical applications. In the case of clinical environments, this also means considering aspects such as patient data security and confidentiality or structured contents, e.g., electronic health records (EHRs. In this scenario, we have developed a new tool to facilitate query building to retrieve scientific literature related to EHRs. Results We have developed CDAPubMed, an open-source web browser extension to integrate EHR features in biomedical literature retrieval approaches. Clinical users can use CDAPubMed to: (i load patient clinical documents, i.e., EHRs based on the Health Level 7-Clinical Document Architecture Standard (HL7-CDA, (ii identify relevant terms for scientific literature search in these documents, i.e., Medical Subject Headings (MeSH, automatically driven by the CDAPubMed configuration, which advanced users can optimize to adapt to each specific situation, and (iii generate and launch literature search queries to a major search engine, i.e., PubMed, to retrieve citations related to the EHR under examination. Conclusions CDAPubMed is a platform-independent tool designed to facilitate literature searching using keywords contained in specific EHRs. CDAPubMed is visually integrated, as an extension of a widespread web browser, within the standard

Semantic processing of EHR data for clinical research.

Science.gov (United States)

Sun, Hong; Depraetere, Kristof; De Roo, Jos; Mels, Giovanni; De Vloed, Boris; Twagirumukiza, Marc; Colaert, Dirk

2015-12-01

There is a growing need to semantically process and integrate clinical data from different sources for clinical research. This paper presents an approach to integrate EHRs from heterogeneous resources and generate integrated data in different data formats or semantics to support various clinical research applications. The proposed approach builds semantic data virtualization layers on top of data sources, which generate data in the requested semantics or formats on demand. This approach avoids upfront dumping to and synchronizing of the data with various representations. Data from different EHR systems are first mapped to RDF data with source semantics, and then converted to representations with harmonized domain semantics where domain ontologies and terminologies are used to improve reusability. It is also possible to further convert data to application semantics and store the converted results in clinical research databases, e.g. i2b2, OMOP, to support different clinical research settings. Semantic conversions between different representations are explicitly expressed using N3 rules and executed by an N3 Reasoner (EYE), which can also generate proofs of the conversion processes. The solution presented in this paper has been applied to real-world applications that process large scale EHR data. Copyright © 2015 Elsevier Inc. All rights reserved.

The Electronic Healthcare Record for Clinical Research (EHR4CR) information model and terminology.

Science.gov (United States)

Ouagne, David; Hussain, Sajjad; Sadou, Eric; Jaulent, Marie-Christine; Daniel, Christel

2012-01-01

A major barrier to repurposing routinely collected data for clinical research is the heterogeneity of healthcare information systems. Electronic Healthcare Record for Clinical Research (EHR4CR) is a European platform designed to improve the efficiency of conducting clinical trials. In this paper, we propose an initial architecture of the EHR4CR Semantic Interoperability Framework. We used a model-driven engineering approach to build a reference HL7-based multidimensional model bound to a set of reference clinical terminologies acting as a global as view model. We then conducted an evaluation of its expressiveness for patient eligibility. The EHR4CR information model consists in one fact table dedicated to clinical statement and 4 dimensions. The EHR4CR terminology integrates reference terminologies used in patient care (e.g LOINC, ICD-10, SNOMED CT, etc). We used the Object Constraint Language (OCL) to represent patterns of eligibility criteria as constraints on the EHR4CR model to be further transformed in SQL statements executed on different clinical data warehouses.

Validation and Refinement of a Pain Information Model from EHR Flowsheet Data.

Science.gov (United States)

Westra, Bonnie L; Johnson, Steven G; Ali, Samira; Bavuso, Karen M; Cruz, Christopher A; Collins, Sarah; Furukawa, Meg; Hook, Mary L; LaFlamme, Anne; Lytle, Kay; Pruinelli, Lisiane; Rajchel, Tari; Settergren, Theresa Tess; Westman, Kathryn F; Whittenburg, Luann

2018-01-01

Secondary use of electronic health record (EHR) data can reduce costs of research and quality reporting. However, EHR data must be consistent within and across organizations. Flowsheet data provide a rich source of interprofessional data and represents a high volume of documentation; however, content is not standardized. Health care organizations design and implement customized content for different care areas creating duplicative data that is noncomparable. In a prior study, 10 information models (IMs) were derived from an EHR that included 2.4 million patients. There was a need to evaluate the generalizability of the models across organizations. The pain IM was selected for evaluation and refinement because pain is a commonly occurring problem associated with high costs for pain management. The purpose of our study was to validate and further refine a pain IM from EHR flowsheet data that standardizes pain concepts, definitions, and associated value sets for assessments, goals, interventions, and outcomes. A retrospective observational study was conducted using an iterative consensus-based approach to map, analyze, and evaluate data from 10 organizations. The aggregated metadata from the EHRs of 8 large health care organizations and the design build in 2 additional organizations represented flowsheet data from 6.6 million patients, 27 million encounters, and 683 million observations. The final pain IM has 30 concepts, 4 panels (classes), and 396 value set items. Results are built on Logical Observation Identifiers Names and Codes (LOINC) pain assessment terms and extend the need for additional terms to support interoperability. The resulting pain IM is a consensus model based on actual EHR documentation in the participating health systems. The IM captures the most important concepts related to pain. Schattauer GmbH Stuttgart.

Exploiting Temporal Constraints of Clinical Guidelines by Applying OpenEHR Archetypes.

Science.gov (United States)

Cintho, Lilian Mie Mukai; Garcia, Diego; da Silva Santos, Bruno Henrique; Sacchi, Lucia; Quaglini, Silvana; Moro, Claudia Maria Cabral

2017-01-01

Studies describing Computer-Interpretable Clinical Guidelines (CIG) with temporal constrains (TC) generally have not addressed issues related to their integration into Electronic Health Record (EHR) systems. This study aimed to represent TCs contained in clinical guidelines by applying archetypes and Guideline Definition Language (GDL) to incorporate decision support into EHRs. An example of each TC class in the clinical guideline for management of Atrial Fibrillation was represented using archetypes and GDL.

Implementing a Social Knowledge Networking (SKN) system to enable meaningful use of an EHR medication reconciliation system.

Science.gov (United States)

Rangachari, Pavani

2018-01-01

Despite the regulatory impetus toward meaningful use of electronic health record (EHR) Medication Reconciliation (MedRec) to prevent medication errors during care transitions, hospital adherence has lagged for one chief reason: low physician engagement, stemming from lack of consensus about which physician is responsible for managing a patient's medication list. In October 2016, Augusta University received a 2-year grant from the Agency for Healthcare Research and Quality to implement a Social Knowledge Networking (SKN) system for enabling its health system (AU Health) to progress from "limited use" of EHR MedRec technology to "meaningful use." The hypothesis is that SKN would bring together a diverse group of practitioners, to facilitate tacit knowledge exchange on issues related to EHR MedRec, which in turn is expected to increase practitioners' engagement in addressing those issues and enable meaningful use of EHR. The specific aims are to examine: 1) user-engagement in the SKN system, and 2) associations between "SKN use" and "meaningful use" of EHR. The 2-year project uses an exploratory mixed-method design and consists of three phases: 1) development; 2) SKN implementation; and 3) analysis. Phase 1, completed in May 2017, sought to identify a comprehensive set of issues related to EHR MedRec from practitioners directly involved in the MedRec process. This process facilitated development of a "Reporting Tool" on issues related to EHR MedRec, which, along with an existing "SKN/Discussion Tool," was integrated into the EHR at AU Health. Phase 2 (launched in June 2017) involves implementing the EHR-integrated SKN system over a 52-week period in inpatient and outpatient medicine units. The prospective implementation design is expected to generate context-sensitive strategies for meaningful use and successful implementation of EHR MedRec and thereby make substantial contributions to the patient safety and risk management literature. From a health care policy

Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

Science.gov (United States)

Miotto, Riccardo; Li, Li; Kidd, Brian A.; Dudley, Joel T.

2016-05-01

Secondary use of electronic health records (EHRs) promises to advance clinical research and better inform clinical decision making. Challenges in summarizing and representing patient data prevent widespread practice of predictive modeling using EHRs. Here we present a novel unsupervised deep feature learning method to derive a general-purpose patient representation from EHR data that facilitates clinical predictive modeling. In particular, a three-layer stack of denoising autoencoders was used to capture hierarchical regularities and dependencies in the aggregated EHRs of about 700,000 patients from the Mount Sinai data warehouse. The result is a representation we name “deep patient”. We evaluated this representation as broadly predictive of health states by assessing the probability of patients to develop various diseases. We performed evaluation using 76,214 test patients comprising 78 diseases from diverse clinical domains and temporal windows. Our results significantly outperformed those achieved using representations based on raw EHR data and alternative feature learning strategies. Prediction performance for severe diabetes, schizophrenia, and various cancers were among the top performing. These findings indicate that deep learning applied to EHRs can derive patient representations that offer improved clinical predictions, and could provide a machine learning framework for augmenting clinical decision systems.

Predicting Virtual Learning Environment Adoption

DEFF Research Database (Denmark)

Penjor, Sonam; Zander, Pär-Ola Mikael

2016-01-01

This study investigates the significance of Rogers’ Diffusion of Innovations (DOI) theory with regard to the use of a Virtual Learning Environment (VLE) at the Royal University of Bhutan (RUB). The focus is on different adoption types and characteristics of users. Rogers’ DOI theory is applied...... to investigate the influence of five predictors (relative advantage, complexity, compatibility, trialability and observability) and their significance in the perception of academic staff at the RUB in relation to the probability of VLE adoption. These predictors are attributes of the VLE that determine the rate...... of adoption by various adopter group memberships (Innovators, Early Adopters, Early Majority, Late Majority, Laggards). Descriptive statistics and regression analysis were deployed to analyse adopter group memberships and predictor significance in VLE adoption and use. The results revealed varying attitudes...

The Karyotype of Alstroemeria diluta Ehr. Bayer subsp. chrysantha (Alstroemeriaceae Karyotype of Alstroemeria diluta Ehr. Bayer subsp. chrysantha (Alstroemeriaceae

Directory of Open Access Journals (Sweden)

Carlos M Baeza

2010-12-01

Full Text Available The karyotype of Alstroemeria diluta subsp. chrysantha Ehr. Bayer from Chile was examined. The species has 2n = 2x = 16 chromosomes, with 4m + 4sm + 2st-sat + 4t + 2t-sat. The reported karyotype is very asymmetrical (AsK % = 71.4 and Syi = 40.0%. This karyotype is similar to that published previously for Alstroemeria graminea Phil.Alstroemeria diluta subsp. chrysantha Ehr. Bayer (Alstroemeriaceae fue examinada citológicamente. Esta especie presenta un número cromosómico somático de 2n = 2x = 16 cromosomas, con una fórmula haploide constituida por 4m + 4sm + 2st-sat + 4t + 2t-sat cromosomas. El cariotipo es muy asimétrico, con valores de AsK % = 71,4 y Syi = 40,0%. Estos resultados se compararon con los de Alstroemeria graminea Phil., especie que presenta un cariotipo muy similar.

Developing an electronic health record (EHR) for methadone treatment recording and decision support.

LENUS (Irish Health Repository)

Xiao, Liang

2011-02-01

In this paper, we give an overview of methadone treatment in Ireland and outline the rationale for designing an electronic health record (EHR) with extensibility, interoperability and decision support functionality. Incorporating several international standards, a conceptual model applying a problem orientated approach in a hierarchical structure has been proposed for building the EHR.

Transformation of standardized clinical models based on OWL technologies: from CEM to OpenEHR archetypes.

Science.gov (United States)

Legaz-García, María del Carmen; Menárguez-Tortosa, Marcos; Fernández-Breis, Jesualdo Tomás; Chute, Christopher G; Tao, Cui

2015-05-01

The semantic interoperability of electronic healthcare records (EHRs) systems is a major challenge in the medical informatics area. International initiatives pursue the use of semantically interoperable clinical models, and ontologies have frequently been used in semantic interoperability efforts. The objective of this paper is to propose a generic, ontology-based, flexible approach for supporting the automatic transformation of clinical models, which is illustrated for the transformation of Clinical Element Models (CEMs) into openEHR archetypes. Our transformation method exploits the fact that the information models of the most relevant EHR specifications are available in the Web Ontology Language (OWL). The transformation approach is based on defining mappings between those ontological structures. We propose a way in which CEM entities can be transformed into openEHR by using transformation templates and OWL as common representation formalism. The transformation architecture exploits the reasoning and inferencing capabilities of OWL technologies. We have devised a generic, flexible approach for the transformation of clinical models, implemented for the unidirectional transformation from CEM to openEHR, a series of reusable transformation templates, a proof-of-concept implementation, and a set of openEHR archetypes that validate the methodological approach. We have been able to transform CEM into archetypes in an automatic, flexible, reusable transformation approach that could be extended to other clinical model specifications. We exploit the potential of OWL technologies for supporting the transformation process. We believe that our approach could be useful for international efforts in the area of semantic interoperability of EHR systems. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

A qualitative analysis of an electronic health record (EHR implementation in an academic ambulatory setting

Directory of Open Access Journals (Sweden)

Kahyun Yoon-Flannery

2008-12-01

Conclusions Achieving the benefits of EHRs identified by our interviewees depends on successful implementation and use. Further identification of best implementation practices for EHRs is required, given the financial and clinical consequences of poor implementation.

Integration of an OWL-DL knowledge base with an EHR prototype and providing customized information.

Science.gov (United States)

Jing, Xia; Kay, Stephen; Marley, Tom; Hardiker, Nicholas R

2014-09-01

When clinicians use electronic health record (EHR) systems, their ability to obtain general knowledge is often an important contribution to their ability to make more informed decisions. In this paper we describe a method by which an external, formal representation of clinical and molecular genetic knowledge can be integrated into an EHR such that customized knowledge can be delivered to clinicians in a context-appropriate manner.Web Ontology Language-Description Logic (OWL-DL) is a formal knowledge representation language that is widely used for creating, organizing and managing biomedical knowledge through the use of explicit definitions, consistent structure and a computer-processable format, particularly in biomedical fields. In this paper we describe: 1) integration of an OWL-DL knowledge base with a standards-based EHR prototype, 2) presentation of customized information from the knowledge base via the EHR interface, and 3) lessons learned via the process. The integration was achieved through a combination of manual and automatic methods. Our method has advantages for scaling up to and maintaining knowledge bases of any size, with the goal of assisting clinicians and other EHR users in making better informed health care decisions.

Expressing clinical data sets with openEHR archetypes: a solid basis for ubiquitous computing.

Science.gov (United States)

Garde, Sebastian; Hovenga, Evelyn; Buck, Jasmin; Knaup, Petra

2007-12-01

The purpose of this paper is to analyse the feasibility and usefulness of expressing clinical data sets (CDSs) as openEHR archetypes. For this, we present an approach to transform CDS into archetypes, and outline typical problems with CDS and analyse whether some of these problems can be overcome by the use of archetypes. Literature review and analysis of a selection of existing Australian, German, other European and international CDSs; transfer of a CDS for Paediatric Oncology into openEHR archetypes; implementation of CDSs in application systems. To explore the feasibility of expressing CDS as archetypes an approach to transform existing CDSs into archetypes is presented in this paper. In case of the Paediatric Oncology CDS (which consists of 260 data items) this lead to the definition of 48 openEHR archetypes. To analyse the usefulness of expressing CDS as archetypes, we identified nine problems with CDS that currently remain unsolved without a common model underpinning the CDS. Typical problems include incompatible basic data types and overlapping and incompatible definitions of clinical content. A solution to most of these problems based on openEHR archetypes is motivated. With regard to integrity constraints, further research is required. While openEHR cannot overcome all barriers to Ubiquitous Computing, it can provide the common basis for ubiquitous presence of meaningful and computer-processable knowledge and information, which we believe is a basic requirement for Ubiquitous Computing. Expressing CDSs as openEHR archetypes is feasible and advantageous as it fosters semantic interoperability, supports ubiquitous computing, and helps to develop archetypes that are arguably of better quality than the original CDS.

Using OpenEHR in SICTI an electronic health record system for critical medicine

International Nuclear Information System (INIS)

Filgueira, R; Odriazola, A; Simini, F

2007-01-01

SICTI is a software tool for registering health records in critical medicine environments. Version 1.0 has been in use since 2003. The Biomedical Engineering Group (Nucleo de Ingenieria Biomedica), with support from the Technological Development Programme (Programa de Desarrollo Tecnologico), decided to develop a new version, to provide an aid for more critical medicine processes, based on a framework which would make the application domain change oriented. The team analyzed three alternatives: to develop an original product based on new research, to base the development on OpenEHR framework, or to use HL7 RIM as the reference model for SICTI. The team opted for OpenEHR. This work describes the use of OpenEHR, its strong and weak points, and states future work perspectives

Cloud-based Predictive Modeling System and its Application to Asthma Readmission Prediction

Science.gov (United States)

Chen, Robert; Su, Hang; Khalilia, Mohammed; Lin, Sizhe; Peng, Yue; Davis, Tod; Hirsh, Daniel A; Searles, Elizabeth; Tejedor-Sojo, Javier; Thompson, Michael; Sun, Jimeng

2015-01-01

The predictive modeling process is time consuming and requires clinical researchers to handle complex electronic health record (EHR) data in restricted computational environments. To address this problem, we implemented a cloud-based predictive modeling system via a hybrid setup combining a secure private server with the Amazon Web Services (AWS) Elastic MapReduce platform. EHR data is preprocessed on a private server and the resulting de-identified event sequences are hosted on AWS. Based on user-specified modeling configurations, an on-demand web service launches a cluster of Elastic Compute 2 (EC2) instances on AWS to perform feature selection and classification algorithms in a distributed fashion. Afterwards, the secure private server aggregates results and displays them via interactive visualization. We tested the system on a pediatric asthma readmission task on a de-identified EHR dataset of 2,967 patients. We conduct a larger scale experiment on the CMS Linkable 2008–2010 Medicare Data Entrepreneurs’ Synthetic Public Use File dataset of 2 million patients, which achieves over 25-fold speedup compared to sequential execution. PMID:26958172

Emerging and encouraging trends in e-prescribing adoption among providers and pharmacies.

Science.gov (United States)

Gabriel, Meghan E; Furukawa, Michael F; Vaidya, Varun

2013-09-01

The objective of this study is to describe the growth in provider (physician, nurse practitioner, and physician assistant) adoption of e-prescribing and the growth in pharmacies actively accepting e-prescriptions using nationally representative data from December 2008 to December 2012. Additionally, this study explored e-prescribing adoption variation by urban and rural counties. Descriptive analysis of nationally representative, transactional e-prescribing data. Data for this analysis were from Surescripts. Surescripts is a leading e-prescription network utilized by a majority of all chain, franchise, or independently owned pharmacies in the United States routing prescriptions for more than 240 million patients through their network. The total number of prescribers, including physicians, nurse practitioners, and physician assistants e-prescribing via an electronic health record (EHR) on the Surescripts network has increased from 7% to 54%. Additionally, the number of pharmacies actively accepting e-prescriptions is 94%. These increases in pharmacies actively accepting e-prescriptions and the provider's eprescribing mirror the increase in the volume of e-prescriptions sent on the Surescripts network. This analysis shows that the vast majority of pharmacies in the United States are able to accept e-prescriptions and over half of providers are e-prescribing via an EHR.

SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research.

Science.gov (United States)

Wu, Honghan; Toti, Giulia; Morley, Katherine I; Ibrahim, Zina M; Folarin, Amos; Jackson, Richard; Kartoglu, Ismail; Agrawal, Asha; Stringer, Clive; Gale, Darren; Gorrell, Genevieve; Roberts, Angus; Broadbent, Matthew; Stewart, Robert; Dobson, Richard J B

2018-05-01

Unlocking the data contained within both structured and unstructured components of electronic health records (EHRs) has the potential to provide a step change in data available for secondary research use, generation of actionable medical insights, hospital management, and trial recruitment. To achieve this, we implemented SemEHR, an open source semantic search and analytics tool for EHRs. SemEHR implements a generic information extraction (IE) and retrieval infrastructure by identifying contextualized mentions of a wide range of biomedical concepts within EHRs. Natural language processing annotations are further assembled at the patient level and extended with EHR-specific knowledge to generate a timeline for each patient. The semantic data are serviced via ontology-based search and analytics interfaces. SemEHR has been deployed at a number of UK hospitals, including the Clinical Record Interactive Search, an anonymized replica of the EHR of the UK South London and Maudsley National Health Service Foundation Trust, one of Europe's largest providers of mental health services. In 2 Clinical Record Interactive Search-based studies, SemEHR achieved 93% (hepatitis C) and 99% (HIV) F-measure results in identifying true positive patients. At King's College Hospital in London, as part of the CogStack program (github.com/cogstack), SemEHR is being used to recruit patients into the UK Department of Health 100 000 Genomes Project (genomicsengland.co.uk). The validation study suggests that the tool can validate previously recruited cases and is very fast at searching phenotypes; time for recruitment criteria checking was reduced from days to minutes. Validated on open intensive care EHR data, Medical Information Mart for Intensive Care III, the vital signs extracted by SemEHR can achieve around 97% accuracy. Results from the multiple case studies demonstrate SemEHR's efficiency: weeks or months of work can be done within hours or minutes in some cases. SemEHR provides a more

Using OpenEHR in SICTI an electronic health record system for critical medicine

Science.gov (United States)

Filgueira, R.; Odriazola, A.; Simini, F.

2007-11-01

SICTI is a software tool for registering health records in critical medicine environments. Version 1.0 has been in use since 2003. The Biomedical Engineering Group (Núcleo de Ingeniería Biomédica), with support from the Technological Development Programme (Programa de Desarrollo Tecnológico), decided to develop a new version, to provide an aid for more critical medicine processes, based on a framework which would make the application domain change oriented. The team analyzed three alternatives: to develop an original product based on new research, to base the development on OpenEHR framework, or to use HL7 RIM as the reference model for SICTI. The team opted for OpenEHR. This work describes the use of OpenEHR, its strong and weak points, and states future work perspectives.

Security challenges in integration of a PHR-S into a standards based national EHR.

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Mense, Alexander; Hoheiser Pförtner, Franz; Sauermann, Stefan

2014-01-01

Health related data provided by patients themselves is expected to play a major role in future healthcare. Data from personal health devices, vaccination records, health diaries or observations of daily living, for instance, is stored in personal health records (PHR) which are maintained by personal health record systems (PHR-S). Combining this information with medical records provided by healthcare providers in electronic health records (EHR) is one of the next steps towards "personal care". Austria currently sets up a nationwide EHR system that incorporates all healthcare providers and is technically based on international standards (IHE, HL7, OASIS, ...). Looking at the expected potential of merging PHR and EHR data it is worth to analyse integration approaches. Although knowing that an integration requires the coordination of processes, information models and technical architectures, this paper specifically focuses on security issues by evaluating general security requirements for a PHR-S (based on HL7 PHR-S FM), comparing them with the information security specifications for the Austrian's national EHR (based on ISO/IES 27000 series) and identifying the main challenges as well as possible approaches.

Predicting Non-African American Lesbian and Heterosexual Preadoptive Couples' Openness to Adopting an African American Child

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Goldberg, Abbie E.; Smith, JuliAnna Z.

2009-01-01

Despite increases in transracial adoption, African American children remain the least likely to be adopted. No research has examined the factors that predict prospective adopters' willingness to adopt an African American child. This study used multilevel modeling to examine predictors of willingness to adopt an African American child in a sample…

Towards sophisticated learning from EHRs: increasing prediction specificity and accuracy using clinically meaningful risk criteria.

Science.gov (United States)

Vasiljeva, Ieva; Arandjelovic, Ognjen

2016-08-01

Computer based analysis of Electronic Health Records (EHRs) has the potential to provide major novel insights of benefit both to specific individuals in the context of personalized medicine, as well as on the level of population-wide health care and policy. The present paper introduces a novel algorithm that uses machine learning for the discovery of longitudinal patterns in the diagnoses of diseases. Two key technical novelties are introduced: one in the form of a novel learning paradigm which enables greater learning specificity, and another in the form of a risk driven identification of confounding diagnoses. We present a series of experiments which demonstrate the effectiveness of the proposed techniques, and which reveal novel insights regarding the most promising future research directions.

Cross border semantic interoperability for clinical research: the EHR4CR semantic resources and services

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Daniel, Christel; Ouagne, David; Sadou, Eric; Forsberg, Kerstin; Gilchrist, Mark Mc; Zapletal, Eric; Paris, Nicolas; Hussain, Sajjad; Jaulent, Marie-Christine; MD, Dipka Kalra

2016-01-01

With the development of platforms enabling the use of routinely collected clinical data in the context of international clinical research, scalable solutions for cross border semantic interoperability need to be developed. Within the context of the IMI EHR4CR project, we first defined the requirements and evaluation criteria of the EHR4CR semantic interoperability platform and then developed the semantic resources and supportive services and tooling to assist hospital sites in standardizing their data for allowing the execution of the project use cases. The experience gained from the evaluation of the EHR4CR platform accessing to semantically equivalent data elements across 11 European participating EHR systems from 5 countries demonstrated how far the mediation model and mapping efforts met the expected requirements of the project. Developers of semantic interoperability platforms are beginning to address a core set of requirements in order to reach the goal of developing cross border semantic integration of data. PMID:27570649

Adoption of electronic health records: a qualitative study of academic and private physicians and health administrators.

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Grabenbauer, L; Fraser, R; McClay, J; Woelfl, N; Thompson, C B; Cambell, J; Windle, J

2011-01-01

Less than 20% of hospitals in the US have an electronic health record (EHR). In this qualitative study, we examine the perspectives of both academic and private physicians and administrators as stakeholders, and their alignment, to explore their perspectives on the use of technology in the clinical environment. Focus groups were conducted with 74 participants who were asked a series of open-ended questions. Grounded theory was used to analyze the transcribed data and build convergent themes. The relevance and importance of themes was constructed by examining frequency, convergence, and intensity. A model was proposed that represents the interactions between themes. Six major themes emerged, which include the impact of EHR systems on workflow, patient care, communication, research/outcomes/billing, education/learning, and institutional culture. Academic and private physicians were confident of the future benefits of EHR systems, yet cautious about the current implementations of EHR, and its impact on interactions with other members of the healthcare team and with patients, and the amount of time necessary to use EHR's. Private physicians differed on education and were uneasy about the steep learning curve necessary for use of new systems. In contrast to physicians, university and hospital administrators are optimistic, and value the availability of data for use in reporting. The results of our study indicate that both private and academic physicians concur on the need for features that maintain and enhance the relationship with the patient and the healthcare team. Resistance to adoption is related to insufficient functionality and its potential negative impact on patient care. Integration of data collection into clinical workflows must consider the unexpected costs of data acquisition.

Prediction in Child Development: A Longitudinal Study of Adoptive and Nonadoptive Families. The Delaware Family Study.

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Hoopes, Janet L.

A longitudinal study was conducted to determine factors predicting successful adoptions before placement and to identify differences and similarities between adoptive and biological families. Data collected on both adopted children and on their adoptive families before placement was related to data collected on the same children and families 6…

45 CFR 170.450 - EHR module testing and certification.

Science.gov (United States)

2010-10-01

... Section 170.450 Public Welfare DEPARTMENT OF HEALTH AND HUMAN SERVICES HEALTH INFORMATION TECHNOLOGY HEALTH INFORMATION TECHNOLOGY STANDARDS, IMPLEMENTATION SPECIFICATIONS, AND CERTIFICATION CRITERIA AND CERTIFICATION PROGRAMS FOR HEALTH INFORMATION TECHNOLOGY Temporary Certification Program for HIT § 170.450 EHR...

Using electronic health records for clinical research: the case of the EHR4CR project.

Science.gov (United States)

De Moor, Georges; Sundgren, Mats; Kalra, Dipak; Schmidt, Andreas; Dugas, Martin; Claerhout, Brecht; Karakoyun, Töresin; Ohmann, Christian; Lastic, Pierre-Yves; Ammour, Nadir; Kush, Rebecca; Dupont, Danielle; Cuggia, Marc; Daniel, Christel; Thienpont, Geert; Coorevits, Pascal

2015-02-01

To describe the IMI EHR4CR project which is designing and developing, and aims to demonstrate, a scalable, widely acceptable and efficient approach to interoperability between EHR systems and clinical research systems. The IMI EHR4CR project is combining and extending several previously isolated state-of-the-art technical components through a new approach to develop a platform for reusing EHR data to support medical research. This will be achieved through multiple but unified initiatives across different major disease areas (e.g. cardiovascular, cancer) and clinical research use cases (protocol feasibility, patient identification and recruitment, clinical trial execution and serious adverse event reporting), with various local and national stakeholders across several countries and therefore under various legal frameworks. An initial instance of the platform has been built, providing communication, security and terminology services to the eleven participating hospitals and ten pharmaceutical companies located in seven European countries. Proof-of-concept demonstrators have been built and evaluated for the protocol feasibility and patient recruitment scenarios. The specifications of the clinical trial execution and the adverse event reporting scenarios have been documented and reviewed. Through a combination of a consortium that brings collectively many years of experience from previous relevant EU projects and of the global conduct of clinical trials, of an approach to ethics that engages many important stakeholders across Europe to ensure acceptability, of a robust iterative design methodology for the platform services that is anchored on requirements of an underlying Service Oriented Architecture that has been designed to be scalable and adaptable, EHR4CR could be well placed to deliver a sound, useful and well accepted pan-European solution for the reuse of hospital EHR data to support clinical research studies. Copyright © 2014 Elsevier Inc. All rights reserved.

Method to integrate clinical guidelines into the electronic health record (EHR) by applying the archetypes approach.

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Garcia, Diego; Moro, Claudia Maria Cabral; Cicogna, Paulo Eduardo; Carvalho, Deborah Ribeiro

2013-01-01

Clinical guidelines are documents that assist healthcare professionals, facilitating and standardizing diagnosis, management, and treatment in specific areas. Computerized guidelines as decision support systems (DSS) attempt to increase the performance of tasks and facilitate the use of guidelines. Most DSS are not integrated into the electronic health record (EHR), ordering some degree of rework especially related to data collection. This study's objective was to present a method for integrating clinical guidelines into the EHR. The study developed first a way to identify data and rules contained in the guidelines, and then incorporate rules into an archetype-based EHR. The proposed method tested was anemia treatment in the Chronic Kidney Disease Guideline. The phases of the method are: data and rules identification; archetypes elaboration; rules definition and inclusion in inference engine; and DSS-EHR integration and validation. The main feature of the proposed method is that it is generic and can be applied toany type of guideline.

Bridging the Divide: Using UTAUT to predict multigenerational tablet adoption practices.

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Magsamen-Conrad, Kate; Upadhyaya, Shrinkhala; Joa, Claire Youngnyo; Dowd, John

2015-09-01

This study examined the "Unified Theory of Acceptance and Use of Technology" (UTAUT) in the context of tablet devices across multiple generations. We tested the four UTAUT determinants, performance expectancy, effort expectancy, social influence, and facilitating conditions, to determine their contributions for predicting behavioral intention to use tablets with age, gender, and user experience as moderators. 899 respondents aged 19-99 completed the survey. We found consistent generational differences in UTAUT determinants, most frequently between the oldest and youngest generations. Effort expectancy and facilitating conditions were the only determinants that positively predicted tablet use intentions after controlling for age, gender, and tablet use. We also discuss the implications of ageism and gender discrimination of technology adoption. Finally, we argue that our findings can be extended to create effective training programs for the teaching, learning, and adoption of new technologies in a variety of organizational settings.

Integrating Models of Diffusion and Behavior to Predict Innovation Adoption, Maintenance, and Social Diffusion.

Science.gov (United States)

Smith, Rachel A; Kim, Youllee; Zhu, Xun; Doudou, Dimi Théodore; Sternberg, Eleanore D; Thomas, Matthew B

2018-01-01

This study documents an investigation into the adoption and diffusion of eave tubes, a novel mosquito vector control, during a large-scale scientific field trial in West Africa. The diffusion of innovations (DOI) and the integrated model of behavior (IMB) were integrated (i.e., innovation attributes with attitudes and social pressures with norms) to predict participants' (N = 329) diffusion intentions. The findings showed that positive attitudes about the innovation's attributes were a consistent positive predictor of diffusion intentions: adopting it, maintaining it, and talking with others about it. As expected by the DOI and the IMB, the social pressure created by a descriptive norm positively predicted intentions to adopt and maintain the innovation. Drawing upon sharing research, we argued that the descriptive norm may dampen future talk about the innovation, because it may no longer be seen as a novel, useful topic to discuss. As predicted, the results showed that as the descriptive norm increased, the intention to talk about the innovation decreased. These results provide broad support for integrating the DOI and the IMB to predict diffusion and for efforts to draw on other research to understand motivations for social diffusion.

Does adoption of electronic health records improve organizational performances of hospital surgical units? Results from the French e-SI (PREPS-SIPS) study.

Science.gov (United States)

Plantier, Morgane; Havet, Nathalie; Durand, Thierry; Caquot, Nicolas; Amaz, Camille; Philip, Irène; Biron, Pierre; Perrier, Lionel

2017-02-01

Electronic health records (EHR) are increasingly being adopted by healthcare systems worldwide. In France, the "Hôpital numérique 2012-2017" program was implemented as part of a strategic plan to modernize health information technology (HIT), including promotion of widespread EHR use. With significant upfront investment costs as well as ongoing operational expenses, it is important to assess this system in terms of its ability to result in improvements in hospital performances. The aim of this study was to evaluate the impact of EHR use on the organizational performances of acute care hospital surgical units throughout France. This retrospective study was based on data derived from three national databases for year the 2012: IPAQSS (Indicators of improvement in the quality and the management of healthcare, "IPAQSS"), Hospi-Diag (French hospital performance indicators), and the national accreditation database. National data and methodological support were provided by the French Ministry of Health (DGOS) and the French National Authority for Health (HAS). Multivariate linear models were used to assess four organizational performance indicators: the occupancy rate of surgical inpatient beds, operating room utilization, the activity per surgeon, and the activity per both nurse anesthetist and anesthesiologist which were dependent variables. Several independent variables were taken into account, including the degree of EHR use. The models revealed a significant positive impact of EHR use on operating room utilization and bed occupancy rates for surgical inpatient units. No significant association was found between the activity per surgeon or the activity per nurse anesthetist and anesthesiologist with EHR use. All four organizational performance indicators were impacted by the type of hospital, the geographical region, and the severity of the pathologies. We were able to verify the purported potential benefits of EHR use on the organizational performances of surgical

An approach for the semantic interoperability of ISO EN 13606 and OpenEHR archetypes.

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Martínez-Costa, Catalina; Menárguez-Tortosa, Marcos; Fernández-Breis, Jesualdo Tomás

2010-10-01

The communication between health information systems of hospitals and primary care organizations is currently an important challenge to improve the quality of clinical practice and patient safety. However, clinical information is usually distributed among several independent systems that may be syntactically or semantically incompatible. This fact prevents healthcare professionals from accessing clinical information of patients in an understandable and normalized way. In this work, we address the semantic interoperability of two EHR standards: OpenEHR and ISO EN 13606. Both standards follow the dual model approach which distinguishes information and knowledge, this being represented through archetypes. The solution presented here is capable of transforming OpenEHR archetypes into ISO EN 13606 and vice versa by combining Semantic Web and Model-driven Engineering technologies. The resulting software implementation has been tested using publicly available collections of archetypes for both standards.

Beyond the Archive: Thinking CSCW into EHRs for Home Care

DEFF Research Database (Denmark)

Corry, Aino Vonge; Ingstrup, Mads; Larsen, Simon Bo

2006-01-01

The current electronic health records (EHR) are not build to adequately support pervasive healthcare, but overcoming certain challenges could change that. In this paper we explicate that point by presenting results of applying participatory design to two scenarios: treating diabetic foot ulcers...... at home, and providing support for women during their pregnancy. In particular, the contributions of this paper are: (1) to explicate the diversity of the domain, and how this leads to complex issues in practice, (2) to present four particular issues that need to be addressed in the design of EHRs...... as found through application of participatory design in our two scenarios, (3) to establish promising approaches to handling those four issues, and (4) to present the core of a software architecture that supports these approaches...

Creating a foundation for implementing an electronic health records (EHR)-integrated Social Knowledge Networking (SKN) system on medication reconciliation.

Science.gov (United States)

Rangachari, P; Dellsperger, K C; Fallaw, D; Davis, I; Sumner, M; Ray, W; Fiedler, S; Nguyen, T; Rethemeyer, R

2018-04-01

In fall 2016, Augusta University received a two-year grant from AHRQ, to implement a Social Knowledge Networking (SKN) system for enabling its health system, AU-Health, to progress from "limited use" of EHR Medication Reconciliation (MedRec) Technology, to "meaningful use." Phase 1 sought to identify a comprehensive set of issues related to EHR MedRec encountered by practitioners at AU-Health. These efforts helped develop a Reporting Tool , which, along with a Discussion Tool , was incorporated into the AU-Health EHR, at the end of Phase 1. Phase 2 (currently underway), comprises a 52-week pilot of the EHR-integrated SKN system in outpatient and inpatient medicine units. The purpose of this paper is to describe the methods and results of Phase 1. Phase 1 utilized an exploratory mixed-method approach, involving two rounds of data collection. This included 15 individual interviews followed by a survey of 200 practitioners, i.e., physicians, nurses, and pharmacists, based in the outpatient and inpatient medicine service at AU Health. Thematic analysis of interviews identified 55 issue-items related to EHR MedRec under 9 issue-categories. The survey sought practitioners' importance-rating of all issue-items identified from interviews. A total of 127 (63%) survey responses were received. Factor analysis served to validate the following 6 of the 9 issue-categories, all of which, were rated "Important" or higher (on average), by over 70% of all respondents: 1) Care-Coordination (CCI); 2) Patient-Education (PEI); 3) Ownership-and-Accountability (OAI); 4) Processes-of-Care (PCI); 5) IT-Related (ITRI); and 6) Workforce-Training (WTI). Significance-testing of importance-rating by professional affiliation revealed no statistically significant differences for CCI and PEI; and some statistically significant differences for OAI, PCI, ITRI, and WTI. There were two key gleanings from the issues related to EHR MedRec unearthed by this study: 1) there was an absence of shared

Early hospital readmission for gastrointestinal-related complications predicts long-term mortality after pancreatectomy.

Science.gov (United States)

Hicks, Caitlin W; Tosoian, Jeffrey J; Craig-Schapiro, Rebecca; Valero, Vicente; Cameron, John L; Eckhauser, Frederic E; Hirose, Kenzo; Makary, Martin A; Pawlik, Timothy M; Ahuja, Nita; Weiss, Matthew J; Wolfgang, Christopher L

2015-10-01

The purpose of this study was to investigate the prognostic significance of early (30-day) hospital readmission (EHR) on mortality after pancreatectomy. Using a prospectively collected institutional database linked with a statewide dataset, we evaluated the association between EHR and overall mortality in all patients undergoing pancreatectomy at our tertiary institution (2005 to 2010). Of 595 pancreatectomy patients, EHR occurred in 21.5%. Overall mortality was 29.4% (median follow-up 22.7 months). Patients with EHR had decreased survival compared with those who were not readmitted (P = .011). On multivariate analysis adjusting for baseline group differences, EHR for gastrointestinal-related complications was a significant independent predictor of mortality (hazard ratio 2.30, P = .001). In addition to known risk factors, 30-day readmission for gastrointestinal-related complications following pancreatectomy independently predicts increased mortality. Additional studies are necessary to identify surgical, medical, and social factors contributing to EHR, as well as interventions aimed at decreasing postpancreatectomy morbidity and mortality. Copyright © 2015 Elsevier Inc. All rights reserved.

The relationship between hospital and ehr vendor market dynamics on health information organization presence and participation.

Science.gov (United States)

Lin, Sunny C; Adler-Milstein, Julia

2018-05-08

Health Information Organizations (HIOs) are third party organizations that facilitate electronic health information exchange (HIE) between providers in a geographic area. Despite benefits from HIE, HIOs have struggled to form and subsequently gain broad provider participation. We sought to assess whether market-level hospital and EHR vendor dynamics are associated with presence and level of hospital participation in HIOs. 2014 data on 4523 hospitals and their EHR vendors were aggregated to the market level. We used multivariate OLS regression to analyze the relationship between hospital and vendor dynamics and (1) probability of HIO presence and (2) percent of hospitals participating in an HIO. 298 of 469 markets (64%) had HIO presence, and in those markets, 47% of hospitals participated in an HIO on average. In multivariate analysis, four characteristics were associated with HIO presence. Markets with more hospitals, markets with more EHR vendors, and markets with an EHR vendor-led HIE approach were more likely to have an HIO. Compared to markets with low hospital competition, markets with high hospital competition had a 25 percentage point lower probability of HIO presence. Two characteristics were associated with level of hospital HIO participation. Markets with more hospitals as well as markets with high vendor competition (compared to low competition) had lower participation. Both hospital and EHR vendor dynamics are associated with whether a market has an HIO as well as the level of hospital participation in HIOs.

Health information technology adoption in U.S. acute care hospitals.

Science.gov (United States)

Zhang, Ning Jackie; Seblega, Binyam; Wan, Thomas; Unruh, Lynn; Agiro, Abiy; Miao, Li

2013-04-01

Previous studies show that the healthcare industry lags behind many other economic sectors in the adoption of information technology. The purpose of this study is to understand differences in structural characteristics between providers that do and that do not adopt Health Information Technology (HIT) applications. Publicly available secondary data were used from three sources: American Hospital Association (AHA) annual survey, Healthcare Information and Management Systems Society (HIMSS) analytics annual survey, and Healthcare Cost and Utilization Project (HCUP) Nationwide Inpatient Sample (NIS) databases. Fifty-two information technologies were grouped into three clusters: clinical, administrative, and strategic decision making ITs. Negative binomial regression was applied with adoption of technology as the dependent variables and eight organizational and contextual factors as the independent variables. Hospitals adopt a relatively larger proportion of administrative information technology as compared to clinical and strategic IT. Large size, urban location and HMO penetration were found to be the most influential hospital characteristics that positively affect information technology adoption. There are still considerable variations in the adoption of information technology across hospitals and in the type of technology adopted. Organizational factors appear to be more influential than market factors when it comes to information technology adoption. The future research may examine whether the Electronic Health Record (EHR) Incentive Program in 2011 would increase the information technology uses in hospitals as it provides financial incentives for HER adoptions and uses among providers.

Modification of the Feline-Ality™ Assessment and the Ability to Predict Adopted Cats’ Behaviors in Their New Homes

Science.gov (United States)

Weiss, Emily; Gramann, Shannon; Drain, Natasha; Dolan, Emily; Slater, Margaret

2015-01-01

Simple Summary While millions of cats enter animal shelters every year, only 11.5% of pet cats are obtained from a shelter in the United States. Previous research has indicated that unrealistic expectations set by adopters can increase the chances of an adopted cat returning to the shelter. The ASPCA®’s Meet Your Match® Feline-ality™ adoption program was designed to provide adopters with accurate information about an adult cat’s future behavior in the home. This research explored the ability of the modified Feline-ality™ assessment when done one day after the cat entered the shelter. Our modified version was predictive of feline behavior post adoption. Abstract It is estimated that 2.5 million cats enter animal shelters in the United States every year and as few as 20% leave the shelter alive. Of those adopted, the greatest risk to post-adoption human animal bond is unrealistic expectations set by the adopter. The ASPCA®’s Meet Your Match® Feline-ality™ adoption program was developed to provide adopters with an accurate assessment of an adult cat’s future behavior in the home. However, the original Feline-ality™ required a three-day hold time to collect cat behaviors on a data card, which was challenging for some shelters. This research involved creating a survey to determine in-home feline behavior post adoption and explored the predictive ability of the in-shelter assessment without the data card. Our results show that the original Feline-ality™ assessment and our modified version were predictive of feline behavior post adoption. Our modified version also decreased hold time for cats to one day. Shelters interested in increasing cat adoptions, decreasing length of stay and improving the adoption experience can now implement the modified version for future feline adoption success. PMID:26479138

Querying Archetype-Based Electronic Health Records Using Hadoop and Dewey Encoding of openEHR Models.

Science.gov (United States)

Sundvall, Erik; Wei-Kleiner, Fang; Freire, Sergio M; Lambrix, Patrick

2017-01-01

Archetype-based Electronic Health Record (EHR) systems using generic reference models from e.g. openEHR, ISO 13606 or CIMI should be easy to update and reconfigure with new types (or versions) of data models or entries, ideally with very limited programming or manual database tweaking. Exploratory research (e.g. epidemiology) leading to ad-hoc querying on a population-wide scale can be a challenge in such environments. This publication describes implementation and test of an archetype-aware Dewey encoding optimization that can be used to produce such systems in environments supporting relational operations, e.g. RDBMs and distributed map-reduce frameworks like Hadoop. Initial testing was done using a nine-node 2.2 GHz quad-core Hadoop cluster querying a dataset consisting of targeted extracts from 4+ million real patient EHRs, query results with sub-minute response time were obtained.

Predicting re-involvement for children adopted out of a public child welfare system.

Science.gov (United States)

Orsi, Rebecca

2015-01-01

Some of the approximately 400,000 children currently placed out-of-home in a public child welfare system will not reunify with their family of origin. They may instead be adopted into a new family. Adoption placements can be characterized by poor adjustment for children; some such placements even result in disruption or dissolution. We conducted a stratified Cox regression of 4,016 children from the Colorado public child welfare system. All of the children had a finalized adoption during the years 2002 through 2006. The two outcomes analyzed were new child protection and youth-in-conflict referrals and assessments for these previously adopted children. New child welfare referrals and assessments may be early indicators of poor adjustment for adopted children within the adoptive family. Study results indicate that older children and Hispanic children had higher rates of referral and assessment. Children with a pre-adoption history including longer time out-of-home or a larger number of out-of-home placements also experienced higher referral and assessment rates. Additional factors which predicted subsequent system re-involvement included presence of paid adoption assistance, adoption by a non-relative foster parent and younger adoptive parent age. Several study results were moderated by the presence or absence of an ethnic match between the child and the adoptive parents. We provide an overview of the statistical model used for analysis and we discuss implications of the study results for child welfare practice. Copyright © 2014 Elsevier Ltd. All rights reserved.

Interpretable Predictive Models for Knowledge Discovery from Home-Care Electronic Health Records

Directory of Open Access Journals (Sweden)

Bonnie L. Westra

2011-01-01

Full Text Available The purpose of this methodological study was to compare methods of developing predictive rules that are parsimonious and clinically interpretable from electronic health record (EHR home visit data, contrasting logistic regression with three data mining classification models. We address three problems commonly encountered in EHRs: the value of including clinically important variables with little variance, handling imbalanced datasets, and ease of interpretation of the resulting predictive models. Logistic regression and three classification models using Ripper, decision trees, and Support Vector Machines were applied to a case study for one outcome of improvement in oral medication management. Predictive rules for logistic regression, Ripper, and decision trees are reported and results compared using F-measures for data mining models and area under the receiver-operating characteristic curve for all models. The rules generated by the three classification models provide potentially novel insights into mining EHRs beyond those provided by standard logistic regression, and suggest steps for further study.

De-identifying an EHR Database

DEFF Research Database (Denmark)

Lauesen, Søren; Pantazos, Kostas; Lippert, Søren

2011-01-01

-identified a Danish EHR database with 437,164 patients. The goal was to generate a version with real medical records, but related to artificial persons. We developed a de-identification algorithm that uses lists of named entities, simple language analysis, and special rules. Our algorithm consists of 3 steps: collect...... lists of identifiers from the database and external resources, define a replacement for each identifier, and replace identifiers in structured data and free text. Some patient records could not be safely de-identified, so the de-identified database has 323,122 patient records with an acceptable degree...... of anonymity, readability and correctness (F-measure of 95%). The algorithm has to be adjusted for each culture, language and database....

Effect of EHR user interface changes on internal prescription discrepancies.

Science.gov (United States)

Turchin, A; Sawarkar, A; Dementieva, Y A; Breydo, E; Ramelson, H

2014-01-01

To determine whether specific design interventions (changes in the user interface (UI)) of an electronic health record (EHR) medication module are associated with an increase or decrease in the incidence of contradictions between the structured and narrative components of electronic prescriptions (internal prescription discrepancies). We performed a retrospective analysis of 960,000 randomly selected electronic prescriptions generated in a single EHR between 01/2004 and 12/2011. Internal prescription discrepancies were identified using a validated natural language processing tool with recall of 76% and precision of 84%. A multivariable autoregressive integrated moving average (ARIMA) model was used to evaluate the effect of five UI changes in the EHR medication module on incidence of internal prescription discrepancies. Over the study period 175,725 (18.4%) prescriptions were found to have internal discrepancies. The highest rate of prescription discrepancies was observed in March 2006 (22.5%) and the lowest in March 2009 (15.0%). Addition of "as directed" option to the dropdown decreased prescription discrepancies by 195 / month (p = 0.0004). An non-interruptive alert that reminded providers to ensure that structured and narrative components did not contradict each other decreased prescription discrepancies by 145 / month (p = 0.03). Addition of a "Renew / Sign" button to the Medication module (a negative control) did not have an effect in prescription discrepancies. Several UI changes in the electronic medication module were effective in reducing the incidence of internal prescription discrepancies. Further research is needed to identify interventions that can completely eliminate this type of prescription error and their effects on patient outcomes.

The challenge of electronic health records (EHRs design and implementation: responses of health workers to drawing a 'big and rich picture' of a future EHR programme using animated tools

Directory of Open Access Journals (Sweden)

Neil Jenkings

2007-06-01

Conclusion We illustrate that use of the animator in focus groups is one means to raise understanding about a proposed EHR development. The animator provided a visual 'probe' to support a more proactive and discursive localised approach to end-user concerns, which could be part of an effective stakeholder engagement and communication strategy crucial in any EHR or health informatics implementation programme. The results of the focus groups were to raise salient issues and concerns, many of which anticipated those that have emerged in the current NHS Connecting for Health Care Records programme in England. Potentially, animator- type technologies may facilitate the user ownership which other forms of dissemination appear to be failing to achieve.

Quantifying predictive capability of electronic health records for the most harmful breast cancer

Science.gov (United States)

Wu, Yirong; Fan, Jun; Peissig, Peggy; Berg, Richard; Tafti, Ahmad Pahlavan; Yin, Jie; Yuan, Ming; Page, David; Cox, Jennifer; Burnside, Elizabeth S.

2018-03-01

Improved prediction of the "most harmful" breast cancers that cause the most substantive morbidity and mortality would enable physicians to target more intense screening and preventive measures at those women who have the highest risk; however, such prediction models for the "most harmful" breast cancers have rarely been developed. Electronic health records (EHRs) represent an underused data source that has great research and clinical potential. Our goal was to quantify the value of EHR variables in the "most harmful" breast cancer risk prediction. We identified 794 subjects who had breast cancer with primary non-benign tumors with their earliest diagnosis on or after 1/1/2004 from an existing personalized medicine data repository, including 395 "most harmful" breast cancer cases and 399 "least harmful" breast cancer cases. For these subjects, we collected EHR data comprised of 6 components: demographics, diagnoses, symptoms, procedures, medications, and laboratory results. We developed two regularized prediction models, Ridge Logistic Regression (Ridge-LR) and Lasso Logistic Regression (Lasso-LR), to predict the "most harmful" breast cancer one year in advance. The area under the ROC curve (AUC) was used to assess model performance. We observed that the AUCs of Ridge-LR and Lasso-LR models were 0.818 and 0.839 respectively. For both the Ridge-LR and LassoLR models, the predictive performance of the whole EHR variables was significantly higher than that of each individual component (pbreast cancer, providing the possibility to personalize care for those women at the highest risk in clinical practice.

Modification of the Feline-Ality™ Assessment and the Ability to Predict Adopted Cats’ Behaviors in Their New Homes

Directory of Open Access Journals (Sweden)

Emily Weiss

2015-02-01

Full Text Available It is estimated that 2.5 million cats enter animal shelters in the United States every year and as few as 20% leave the shelter alive. Of those adopted, the greatest risk to post-adoption human animal bond is unrealistic expectations set by the adopter. The ASPCA®’s Meet Your Match® Feline-ality™ adoption program was developed to provide adopters with an accurate assessment of an adult cat’s future behavior in the home. However, the original Feline-ality™ required a three-day hold time to collect cat behaviors on a data card, which was challenging for some shelters. This research involved creating a survey to determine in-home feline behavior post adoption and explored the predictive ability of the in-shelter assessment without the data card. Our results show that the original Feline-ality™ assessment and our modified version were predictive of feline behavior post adoption. Our modified version also decreased hold time for cats to one day. Shelters interested in increasing cat adoptions, decreasing length of stay and improving the adoption experience can now implement the modified version for future feline adoption success.

Physicians' perceptions of the impact of the EHR on the collection and retrieval of psychosocial information in outpatient diabetes care.

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Senteio, Charles; Veinot, Tiffany; Adler-Milstein, Julia; Richardson, Caroline

2018-05-01

Psychosocial information informs clinical decisions by providing crucial context for patients' barriers to recommended self-care; this is especially important in outpatient diabetes care because outcomes are largely dependent upon self-care behavior. Little is known about provider perceptions of use of psychosocial information. Further, while EHRs have dramatically changed how providers interact with patient health information, the EHRs' role in collection and retrieval of psychosocial information is not understood. We designed a qualitative study. We used semi-structured interviews to investigate physicians' (N = 17) perspectives on the impact of EHR for psychosocial information use for outpatient Type II diabetes care decisions. We selected the constant comparative method to analyze the data. Psychosocial information is perceived as dissimilar from other clinical information such as HbA1c and prescribed medications. Its narrative form conveys the patient's story, which elucidates barriers to following self-care recommendations. The narrative is abstract, and requires interpretation of patterns. Psychosocial information is also circumstantial; hence, the patients' context determines influence on self-care. Furthermore, EHRs can impair the collection of psychosocial information because the designs of EHR tools make it difficult to document, search for, and retrieve it. Templates do not enable users from collecting the patient's 'story', and using free text fields is time consuming. Providers therefore had low use of, and confidence in, the accuracy of psychosocial information in the EHR. Workflows and EHR tools should be re-designed to better support psychosocial information collection and retrieval. Tools should enable recording and summarization of the patient's story, and the rationale for treatment decisions. Copyright © 2018 Elsevier B.V. All rights reserved.

Measuring use of electronic health record functionality using system audit information.

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Bowes, Watson A

2010-01-01

Meaningful and efficient methods for measuring Electronic Health Record (EHR) adoption and functional usage patterns have recently become important for hospitals, clinics, and health care networks in the United State due to recent government initiatives to increase EHR use. To date, surveys have been the method of choice to measure EHR adoption. This paper describes another method for measuring EHR adoption which capitalizes on audit logs, which are often common components of modern EHRs. An Audit Data Mart is described which identified EHR functionality within 836 Departments, within 22 Hospitals and 170 clinics at Intermountain Healthcare, a large integrated delivery system. The Audit Data Mart successfully identified important and differing EHR functional usage patterns. These patterns were useful in strategic planning, tracking EHR implementations, and will likely be utilized to assist in documentation of "Meaningful Use" of EHR functionality.

Effect of EHR User Interface Changes on Internal Prescription Discrepancies

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Sawarkar, A.; Dementieva, Y.A.; Breydo, E.; Ramelson, H.

2014-01-01

Summary Objective To determine whether specific design interventions (changes in the user interface (UI)) of an electronic health record (EHR) medication module are associated with an increase or decrease in the incidence of contradictions between the structured and narrative components of electronic prescriptions (internal prescription discrepancies). Materials and Methods We performed a retrospective analysis of 960,000 randomly selected electronic prescriptions generated in a single EHR between 01/2004 and 12/2011. Internal prescription discrepancies were identified using a validated natural language processing tool with recall of 76% and precision of 84%. A multivariable autoregressive integrated moving average (ARIMA) model was used to evaluate the effect of five UI changes in the EHR medication module on incidence of internal prescription discrepancies. Results Over the study period 175,725 (18.4%) prescriptions were found to have internal discrepancies. The highest rate of prescription discrepancies was observed in March 2006 (22.5%) and the lowest in March 2009 (15.0%). Addition of „as directed“ option to the dropdown decreased prescription discrepancies by 195 / month (p = 0.0004). An non-interruptive alert that reminded providers to ensure that structured and narrative components did not contradict each other decreased prescription discrepancies by 145 / month (p = 0.03). Addition of a „Renew / Sign“ button to the Medication module (a negative control) did not have an effect in prescription discrepancies. Conclusions Several UI changes in the electronic medication module were effective in reducing the incidence of internal prescription discrepancies. Further research is needed to identify interventions that can completely eliminate this type of prescription error and their effects on patient outcomes. PMID:25298811

Exploring the role of the nurse manager in supporting point-of-care nurses' adoption of electronic health records: protocol for a qualitative research study.

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Strudwick, Gillian; Booth, Richard G; Bjarnadottir, Ragnhildur I; Collins, Sarah; Srivastava, Rani

2017-10-12

An increasing number of electronic health record (EHR) systems have been implemented in clinical practice environments where nurses work. Findings from previous studies have found that a number of intended benefits of the technology have not yet been realised to date, partially due to poor system adoption among health professionals such as nurses. Previous studies have suggested that nurse managers can support the effective adoption and use of the technology by nurses. However, no known studies have identified what role nurse managers have in supporting technology adoption, nor the specific strategies that managers can employ to support their staff. Therefore, the purpose of this research is to better understand the role of the nurse manager in point-of-care nurses' use of EHRs, and to identify strategies that may be effective in supporting clinical adoption. This study will use a qualitative descriptive design. Interviews with both nurse managers and point-of-care nursing staff will be conducted in a Canadian mental health and addiction healthcare organisation where an EHR has been implemented. A semistructured interview guide will be used, and interviews will be audio recorded. Transcripts will be analysed using a directed content analysis technique. Strategies to ensure the trustworthiness of the data analysis procedure and findings will be employed. Ethical approval for this study has been obtained. Dissemination strategies may include a paper submission to a peer-reviewed journal, a conference submission and meetings to share findings with the study site leadership team. Findings from this research will be used to inform a future study which aims to assess levels of competencies and perform a psychometric analysis of the Nursing Informatics Competency Assessment for the Nurse Leader instrument in a Canadian context. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is

Differences in influence patterns between groups predicting the adoption of a solar disinfection technology for drinking water in Bolivia.

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Moser, Stephanie; Mosler, Hans-Joachim

2008-08-01

The lack of safe drinking water is one of the major problems faced by developing countries. The consequences of contaminated water are diseases such as diarrhea, one of the main causes of infant mortality. Because of its simplicity, solar water-disinfection technology provides a good way of treating water at the household level. Despite its obvious advantages and considerable promotional activities, this innovation has had rather a slow uptake. We conducted a field survey in which 644 households in Bolivia were interviewed in order to gain insights on motivations that resulted in adopting the technology. The aim was to examine possible differences in the predictors for adopting this technology during the diffusion process using the theory of innovation diffusion. Our findings indicate that early adoption was predicted by increased involvement in the topic of drinking water and that adoption in the middle of the diffusion process was predicted by increased involvement by opinion leaders and by recognition of a majority who supported the technology. Finally, late adoption was predicted by recognition that a majority had already adopted. Suggestions for future promotional strategies are outlined.

Modelling of Operative Report Documents for Data Integration into an openEHR-Based Enterprise Data Warehouse.

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Haarbrandt, Birger; Wilschko, Andreas; Marschollek, Michael

2016-01-01

In order to integrate operative report documents from two operating room management systems into a data warehouse, we investigated the application of the two-level modelling approach of openEHR to create a shared data model. Based on the systems' analyses, a template consisting of 13 archetypes has been developed. Of these 13 archetypes, 3 have been obtained from the international archetype repository of the openEHR foundation. The remaining 10 archetypes have been newly created. The template was evaluated by an application system expert and through conducting a first test mapping of real-world data from one of the systems. The evaluation showed that by using the two-level modelling approach of openEHR, we succeeded to represent an integrated and shared information model for operative report documents. More research is needed to learn about the limitations of this approach in other data integration scenarios.

Are three methods better than one? A comparative assessment of usability evaluation methods in an EHR.

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Walji, Muhammad F; Kalenderian, Elsbeth; Piotrowski, Mark; Tran, Duong; Kookal, Krishna K; Tokede, Oluwabunmi; White, Joel M; Vaderhobli, Ram; Ramoni, Rachel; Stark, Paul C; Kimmes, Nicole S; Lagerweij, Maxim; Patel, Vimla L

2014-05-01

To comparatively evaluate the effectiveness of three different methods involving end-users for detecting usability problems in an EHR: user testing, semi-structured interviews and surveys. Data were collected at two major urban dental schools from faculty, residents and dental students to assess the usability of a dental EHR for developing a treatment plan. These included user testing (N=32), semi-structured interviews (N=36), and surveys (N=35). The three methods together identified a total of 187 usability violations: 54% via user testing, 28% via the semi-structured interview and 18% from the survey method, with modest overlap. These usability problems were classified into 24 problem themes in 3 broad categories. User testing covered the broadest range of themes (83%), followed by the interview (63%) and survey (29%) methods. Multiple evaluation methods provide a comprehensive approach to identifying EHR usability challenges and specific problems. The three methods were found to be complementary, and thus each can provide unique insights for software enhancement. Interview and survey methods were found not to be sufficient by themselves, but when used in conjunction with the user testing method, they provided a comprehensive evaluation of the EHR. We recommend using a multi-method approach when testing the usability of health information technology because it provides a more comprehensive picture of usability challenges. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Too Much or Too Little? How Much Control Should Patients Have Over EHR Data?

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Bhuyan, Soumitra Sudip; Bailey-DeLeeuw, Sandra; Wyant, David K; Chang, Cyril F

2016-07-01

Electronic health records (EHRs) have been promoted as a mechanism to overcome the fragmented healthcare system in the United States. The challenge that is being discussed is the rights of the patient to control the access to their EHRs' data and the needs of healthcare professionals to know health data to make the best treatment decisions for their patients. The Federal Trade Commission has asked those who store consumer information to comply with the Fair Information Practice Principles. In the EHR context, these principles give the rights to the patient to control who can see their health data and what components of the data are restricted from view. Control is not limited to patients, as it also includes parents of adolescent children. We suggest that the ongoing policy discussion include consideration of the precise questions patients will be asked when a need for data sharing arises. Further, patients should understand the relative risks that they face, and the degree to which their decisions will (or will not) significantly reduce the risk of a data breach. As various approaches are considered, it is important to address the relative resource requirements and the associated costs of each option.

The EHR-ARCHE project: Satisfying clinical information needs in a Shared Electronic Health Record System based on IHE XDS and Archetypes☆

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Duftschmid, Georg; Rinner, Christoph; Kohler, Michael; Huebner-Bloder, Gudrun; Saboor, Samrend; Ammenwerth, Elske

2013-01-01

Purpose While contributing to an improved continuity of care, Shared Electronic Health Record (EHR) systems may also lead to information overload of healthcare providers. Document-oriented architectures, such as the commonly employed IHE XDS profile, which only support information retrieval at the level of documents, are particularly susceptible for this problem. The objective of the EHR-ARCHE project was to develop a methodology and a prototype to efficiently satisfy healthcare providers’ information needs when accessing a patient's Shared EHR during a treatment situation. We especially aimed to investigate whether this objective can be reached by integrating EHR Archetypes into an IHE XDS environment. Methods Using methodical triangulation, we first analysed the information needs of healthcare providers, focusing on the treatment of diabetes patients as an exemplary application domain. We then designed ISO/EN 13606 Archetypes covering the identified information needs. To support a content-based search for fine-grained information items within EHR documents, we extended the IHE XDS environment with two additional actors. Finally, we conducted a formative and summative evaluation of our approach within a controlled study. Results We identified 446 frequently needed diabetes-specific information items, representing typical information needs of healthcare providers. We then created 128 Archetypes and 120 EHR documents for two fictive patients. All seven diabetes experts, who evaluated our approach, preferred the content-based search to a conventional XDS search. Success rates of finding relevant information was higher for the content-based search (100% versus 80%) and the latter was also more time-efficient (8–14 min versus 20 min or more). Conclusions Our results show that for an efficient satisfaction of health care providers’ information needs, a content-based search that rests upon the integration of Archetypes into an IHE XDS-based Shared EHR system is

The EHR-ARCHE project: satisfying clinical information needs in a Shared Electronic Health Record system based on IHE XDS and Archetypes.

Science.gov (United States)

Duftschmid, Georg; Rinner, Christoph; Kohler, Michael; Huebner-Bloder, Gudrun; Saboor, Samrend; Ammenwerth, Elske

2013-12-01

While contributing to an improved continuity of care, Shared Electronic Health Record (EHR) systems may also lead to information overload of healthcare providers. Document-oriented architectures, such as the commonly employed IHE XDS profile, which only support information retrieval at the level of documents, are particularly susceptible for this problem. The objective of the EHR-ARCHE project was to develop a methodology and a prototype to efficiently satisfy healthcare providers' information needs when accessing a patient's Shared EHR during a treatment situation. We especially aimed to investigate whether this objective can be reached by integrating EHR Archetypes into an IHE XDS environment. Using methodical triangulation, we first analysed the information needs of healthcare providers, focusing on the treatment of diabetes patients as an exemplary application domain. We then designed ISO/EN 13606 Archetypes covering the identified information needs. To support a content-based search for fine-grained information items within EHR documents, we extended the IHE XDS environment with two additional actors. Finally, we conducted a formative and summative evaluation of our approach within a controlled study. We identified 446 frequently needed diabetes-specific information items, representing typical information needs of healthcare providers. We then created 128 Archetypes and 120 EHR documents for two fictive patients. All seven diabetes experts, who evaluated our approach, preferred the content-based search to a conventional XDS search. Success rates of finding relevant information was higher for the content-based search (100% versus 80%) and the latter was also more time-efficient (8-14min versus 20min or more). Our results show that for an efficient satisfaction of health care providers' information needs, a content-based search that rests upon the integration of Archetypes into an IHE XDS-based Shared EHR system is superior to a conventional metadata-based XDS

Foraging for Information in the EHR: The Search for Adherence Related Information by Mental Health Clinicians.

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Gibson, Bryan; Butler, Jorie; Zirkle, Maryan; Hammond, Kenric; Weir, Charlene

2016-01-01

In this project we sought to qualitatively describe clinician's search for information related to the complex construct of adherence. Nineteen think aloud observations and semi-structured interviews were conducted with mental health providers as they prepared for a patient visit. The transcripts were coded according to constructs from information foraging theory (information goal, patch, scent, enrichment, and opportunity cost). The search strategies uncovered were complicated: provider's searches were sometimes multi-staged (e.g. a search of the EHR led to further enquiry when interviewing the patient), and involved multiple 'patches' (i.e. data from the EHR, the patient and other providers were all sought out). In addition, some information that providers considered relevant to understand adherence related questions was non-obvious (e.g. the absence of specific information was considered a useful cue). Providers' information search strategies for complex constructs are at times non-intuitive; implications for the design of EHR summarization tools are discussed.

A virtual platform for electronic health record (EHR) education for nursing students: moving from in-house solutions to the cloud.

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Kushniruk, Andre W; Kuo, Mu-Hsing; Parapini, Eric; Borycki, Elizabeth M

2014-01-01

There is a need to develop cost effective ways to bring hands-on education about essential information technologies, such as electronic health record (EHR) systems to nursing students, nursing faculty and practitioners. This is especially the case as worldwide there is an increased deployment of these systems and they are transforming the practice of healthcare. However, due to technical, financial and knowledge limitations, many nursing schools and programs do not have an adequate way to bring such technology into their classes and curricula. In this paper we describe an approach to developing Web-based EHR education that allows students from any Web-accessible location to access and work with real EHR systems remotely over the Internet for learning purposes. In this paper we describe our work in moving this approach to a cloud-based solution to allow access to EHRs for educational purposes from any location with Web access and to do so in a way that is both educationally sound and cost effective.

77 FR 8217 - Evaluating the Usability of Electronic Health Record (EHR) Systems

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2012-02-14

... usability of health information technology (HIT) systems, EHRs in particular, and performance-oriented user... the usability of health information technology (HIT) systems. NIST research is designed to: (1... DEPARTMENT OF COMMERCE National Institute of Standards and Technology [Docket No. 120123059-2058...

Bridging data models and terminologies to support adverse drug event reporting using EHR data.

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Declerck, G; Hussain, S; Daniel, C; Yuksel, M; Laleci, G B; Twagirumukiza, M; Jaulent, M-C

2015-01-01

This article is part of the Focus Theme of METHODs of Information in Medicine on "Managing Interoperability and Complexity in Health Systems". SALUS project aims at building an interoperability platform and a dedicated toolkit to enable secondary use of electronic health records (EHR) data for post marketing drug surveillance. An important component of this toolkit is a drug-related adverse events (AE) reporting system designed to facilitate and accelerate the reporting process using automatic prepopulation mechanisms. To demonstrate SALUS approach for establishing syntactic and semantic interoperability for AE reporting. Standard (e.g. HL7 CDA-CCD) and proprietary EHR data models are mapped to the E2B(R2) data model via SALUS Common Information Model. Terminology mapping and terminology reasoning services are designed to ensure the automatic conversion of source EHR terminologies (e.g. ICD-9-CM, ICD-10, LOINC or SNOMED-CT) to the target terminology MedDRA which is expected in AE reporting forms. A validated set of terminology mappings is used to ensure the reliability of the reasoning mechanisms. The percentage of data elements of a standard E2B report that can be completed automatically has been estimated for two pilot sites. In the best scenario (i.e. the available fields in the EHR have actually been filled), only 36% (pilot site 1) and 38% (pilot site 2) of E2B data elements remain to be filled manually. In addition, most of these data elements shall not be filled in each report. SALUS platform's interoperability solutions enable partial automation of the AE reporting process, which could contribute to improve current spontaneous reporting practices and reduce under-reporting, which is currently one major obstacle in the process of acquisition of pharmacovigilance data.

EHR-based disease registries to support integrated care in a health neighbourhood: an ontology-based methodology.

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Liaw, Siaw-Teng; Taggart, Jane; Yu, Hairong

2014-01-01

Disease registries derived from Electronic Health Records (EHRs) are widely used for chronic disease management. We approached registries from the perspective of integrated care in a health neighbourhood, considering data quality issues such as semantic interoperability (consistency), accuracy, completeness and duplication. Our proposition is that a realist ontological approach is required to accurately identify patients in an EHR or data repository, assess data quality and fitness for use by the multidisciplinary integrated care team. We report on this approach with routinely collected data in a practice based research network in Australia.

Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Psychosocial Domain.

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Sutin, Angelina R; Boutelle, Kerri; Czajkowski, Susan M; Epel, Elissa S; Green, Paige A; Hunter, Christine M; Rice, Elise L; Williams, David M; Young-Hyman, Deborah; Rothman, Alexander J

2018-04-01

Within the Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core Measures Project, the psychosocial domain addresses how psychosocial processes underlie the influence of obesity treatment strategies on weight loss and weight maintenance. The subgroup for the psychosocial domain identified an initial list of high-priority constructs and measures that ranged from relatively stable characteristics about the person (cognitive function, personality) to dynamic characteristics that may change over time (motivation, affect). This paper describes (a) how the psychosocial domain fits into the broader model of weight loss and weight maintenance as conceptualized by ADOPT; (b) the guiding principles used to select constructs and measures for recommendation; (c) the high-priority constructs recommended for inclusion; (d) domain-specific issues for advancing the science; and (e) recommendations for future research. The inclusion of similar measures across trials will help to better identify how psychosocial factors mediate and moderate the weight loss and weight maintenance process, facilitate research into dynamic interactions with factors in the other ADOPT domains, and ultimately improve the design and delivery of effective interventions. © 2018 The Obesity Society.

Patient and public views about the security and privacy of Electronic Health Records (EHRs) in the UK: results from a mixed methods study.

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Papoutsi, Chrysanthi; Reed, Julie E; Marston, Cicely; Lewis, Ruth; Majeed, Azeem; Bell, Derek

2015-10-14

Although policy discourses frame integrated Electronic Health Records (EHRs) as essential for contemporary healthcare systems, increased information sharing often raises concerns among patients and the public. This paper examines patient and public views about the security and privacy of EHRs used for health provision, research and policy in the UK. Sequential mixed methods study with a cross-sectional survey (in 2011) followed by focus group discussions (in 2012-2013). Survey participants (N = 5331) were recruited from primary and secondary care settings in West London (UK). Complete data for 2761 (51.8 %) participants were included in the final analysis for this paper. The survey results were discussed in 13 focus groups with people living with a range of different health conditions, and in 4 mixed focus groups with patients, health professionals and researchers (total N = 120). Qualitative data were analysed thematically. In the survey, 79 % of participants reported that they would worry about the security of their record if this was part of a national EHR system and 71 % thought the National Health Service (NHS) was unable to guarantee EHR safety at the time this work was carried out. Almost half (47 %) responded that EHRs would be less secure compared with the way their health record was held at the time of the survey. Of those who reported being worried about EHR security, many would nevertheless support their development (55 %), while 12 % would not support national EHRs and a sizeable proportion (33 %) were undecided. There were also variations by age, ethnicity and education. In focus group discussions participants weighed up perceived benefits against potential security and privacy threats from wider sharing of information, as well as discussing other perceived risks: commercial exploitation, lack of accountability, data inaccuracies, prejudice and inequalities in health provision. Patient and public worries about the security risks associated

Standardized headings as a foundation for semantic interoperability in EHR

Directory of Open Access Journals (Sweden)

Halilovic Amra

2016-01-01

Full Text Available The new Swedish Patient Act, which allows patients to choose health care in county councils other than their own, creates the need to be able to share health-related information contained in electronic health records [EHRs across county councils. This demands interoperability in terms of structured and standardized data. Headings in EHR could also be a part of structured and standardized data. The aim was to study to what extent terminology is shared and standardized across county councils in Sweden. Headings from three county councils were analyzed to see to what extent they were shared and to what extent they corresponded to concepts in SNOMED CT and the National Board of Health and Welfare’s term dictionary [NBHW’s TD. In total 41% of the headings were shared across two or three county councils. A third of the shared headings corresponded to concepts in SNOMED CT. Further, an eighth of the shared headings corresponded to concepts in NBHW’s TD. The results showed that the extent of shared and standardized terminology in terms of headings across the studied three county councils were negligible.

Prototype of a Standards-Based EHR and Genetic Test Reporting Tool Coupled with HL7-Compliant Infobuttons

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Crump, Jacob K.; Del Fiol, Guilherme; Williams, Marc S.; Freimuth, Robert R.

2018-01-01

Integration of genetic information is becoming increasingly important in clinical practice. However, genetic information is often ambiguous and difficult to understand, and clinicians have reported low-self-efficacy in integrating genetics into their care routine. The Health Level Seven (HL7) Infobutton standard helps to integrate online knowledge resources within Electronic Health Records (EHRs) and is required for EHR certification in the US. We implemented a prototype of a standards-based genetic reporting application coupled with infobuttons leveraging the Infobutton and Fast Healthcare Interoperability Resources (FHIR) Standards. Infobutton capabilities were provided by Open Infobutton, an open source package compliant with the HL7 Infobutton Standard. The resulting prototype demonstrates how standards-based reporting of genetic results, coupled with curated knowledge resources, can provide dynamic access to clinical knowledge on demand at the point of care. The proposed functionality can be enabled within any EHR system that has been certified through the US Meaningful Use program.

Analysis of the process of representing clinical statements for decision-support applications: a comparison of openEHR archetypes and HL7 virtual medical record.

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González-Ferrer, A; Peleg, M; Marcos, M; Maldonado, J A

2016-07-01

Delivering patient-specific decision-support based on computer-interpretable guidelines (CIGs) requires mapping CIG clinical statements (data items, clinical recommendations) into patients' data. This is most effectively done via intermediate data schemas, which enable querying the data according to the semantics of a shared standard intermediate schema. This study aims to evaluate the use of HL7 virtual medical record (vMR) and openEHR archetypes as intermediate schemas for capturing clinical statements from CIGs that are mappable to electronic health records (EHRs) containing patient data and patient-specific recommendations. Using qualitative research methods, we analyzed the encoding of ten representative clinical statements taken from two CIGs used in real decision-support systems into two health information models (openEHR archetypes and HL7 vMR instances) by four experienced informaticians. Discussion among the modelers about each case study example greatly increased our understanding of the capabilities of these standards, which we share in this educational paper. Differing in content and structure, the openEHR archetypes were found to contain a greater level of representational detail and structure while the vMR representations took fewer steps to complete. The use of openEHR in the encoding of CIG clinical statements could potentially facilitate applications other than decision-support, including intelligent data analysis and integration of additional properties of data items from existing EHRs. On the other hand, due to their smaller size and fewer details, the use of vMR potentially supports quicker mapping of EHR data into clinical statements.

Contact Between Adoptive and Birth Families: Perspectives from the Minnesota Texas Adoption Research Project.

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Grotevant, Harold D; McRoy, Ruth G; Wrobel, Gretchen M; Ayers-Lopez, Susan

2013-09-01

A growing number of adoptive families have contact with their children's birth relatives. The Minnesota Texas Adoption Research Project is examining longitudinally the consequences of variations in contact arrangements for birth mothers, adoptive parents, and adopted children in domestic infant adoptions, and is studying the dynamics of relationships within these family systems. Individuals who had contact were more satisfied with their arrangements than those who did not have contact. Satisfaction with contact predicted more optimal adjustment among adopted adolescents and emerging adults. Adoption-related communication predicted identity development among adopted adolescents and emerging adults. Birth mothers who were more satisfied with their contact arrangements, regardless of level of contact, had less unresolved grief 12 to 20 years after placement. Adoptive and birth relatives who engage in contact need flexibility, strong interpersonal skills, and commitment to the relationship. These skills can be learned, and they can be supported by others, through informal, psychoeducational, and therapeutic means.

Big Data, Predictive Analytics, and Quality Improvement in Kidney Transplantation: A Proof of Concept.

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Srinivas, T R; Taber, D J; Su, Z; Zhang, J; Mour, G; Northrup, D; Tripathi, A; Marsden, J E; Moran, W P; Mauldin, P D

2017-03-01

We sought proof of concept of a Big Data Solution incorporating longitudinal structured and unstructured patient-level data from electronic health records (EHR) to predict graft loss (GL) and mortality. For a quality improvement initiative, GL and mortality prediction models were constructed using baseline and follow-up data (0-90 days posttransplant; structured and unstructured for 1-year models; data up to 1 year for 3-year models) on adult solitary kidney transplant recipients transplanted during 2007-2015 as follows: Model 1: United Network for Organ Sharing (UNOS) data; Model 2: UNOS & Transplant Database (Tx Database) data; Model 3: UNOS, Tx Database & EHR comorbidity data; and Model 4: UNOS, Tx Database, EHR data, Posttransplant trajectory data, and unstructured data. A 10% 3-year GL rate was observed among 891 patients (2007-2015). Layering of data sources improved model performance; Model 1: area under the curve (AUC), 0.66; (95% confidence interval [CI]: 0.60, 0.72); Model 2: AUC, 0.68; (95% CI: 0.61-0.74); Model 3: AUC, 0.72; (95% CI: 0.66-077); Model 4: AUC, 0.84, (95 % CI: 0.79-0.89). One-year GL (AUC, 0.87; Model 4) and 3-year mortality (AUC, 0.84; Model 4) models performed similarly. A Big Data approach significantly adds efficacy to GL and mortality prediction models and is EHR deployable to optimize outcomes. © 2016 The American Society of Transplantation and the American Society of Transplant Surgeons.

Does electronic health record use improve hospital financial performance? Evidence from panel data.

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Collum, Taleah H; Menachemi, Nir; Sen, Bisakha

2016-01-01

The aim of this study was to examine the impact of electronic health record (EHR) adoption on hospital financial performance. We constructed a longitudinal panel using data from the three secondary sources: (a) the 2007-2010 American Hospital Association (AHA) Annual Survey, (b) the 2007-2010 AHA Annual Survey Information Technology Supplement, and (c) the 2007-2011 Medicare Cost Reports from Centers for Medicare and Medicaid Services. Because potential financial benefits attributable to EHR adoption may take some time to accrue, we ran regressions with lags of 1 and 2 years that included hospital and year fixed effects to examine the relationship between the level of EHR adoption and three hospital financial performance measures. A change in the level of EHR adoption was not associated with changes in operating margin or return on assets within hospitals. However, total margin was significantly improved, after 2 years, in hospitals that moved from no EHR to having a comprehensive EHR in all areas of their hospital (β = 0.030, p financial performance measures examined. The improvements in total margin, as opposed to operating margin, are likely due to hospital incentive payments under the Health Information Technology for Economic and Clinical Health Act that are reflected in nonpatient revenues and therefore show up in total margin calculations. Thus, after 2 years of EHR adoption, hospital financial performance is observed to improve based only on meaningful use incentive payments. More research will be needed to determine whether EHR adoption impacts financial performance on a longer time horizon.

CMS Medicare and Medicaid EHR Incentive Program, Electronic Health Record Products Used for Attestation

Data.gov (United States)

U.S. Department of Health & Human Services — Data set merges information about the Centers for Medicare and Medicaid Services, Medicare and Medicaid EHR Incentive Programs attestations with the Office of the...

A Repository of Semantic Open EHR Archetypes

Directory of Open Access Journals (Sweden)

Fernando Sánchez

2015-03-01

Full Text Available This paper describes a repository of openEHR archetypes that have been translated to OWL. In the work presented here, five different CKMs (Clinical Knowledge Managers have been downloaded and the archetypes have been translated to OWL. This translation is based on an existing translator that has been improved to solve programming problems with certain structures. As part of the repository a tool has been developed to keep it always up-to-date. So, any change in one of the CKMs (addition, elimination or even change of an archetype will involve translating the changed archetypes once more. The repository is accessible through a Web interface (http://www.openehr.es/.

Validating EHR documents: automatic schematron generation using archetypes.

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Pfeiffer, Klaus; Duftschmid, Georg; Rinner, Christoph

2014-01-01

The goal of this study was to examine whether Schematron schemas can be generated from archetypes. The openEHR Java reference API was used to transform an archetype into an object model, which was then extended with context elements. The model was processed and the constraints were transformed into corresponding Schematron assertions. A prototype of the generator for the reference model HL7 v3 CDA R2 was developed and successfully tested. Preconditions for its reusability with other reference models were set. Our results indicate that an automated generation of Schematron schemas is possible with some limitations.

A Framework for Usability Evaluation in EHR Procurement.

Science.gov (United States)

Tyllinen, Mari; Kaipio, Johanna; Lääveri, Tinja

2018-01-01

Usability should be considered already by the procuring organizations when selecting future systems. In this paper, we present a framework for usability evaluation during electronic health record (EHR) system procurement. We describe the objectives of the evaluation, the procedure, selected usability attributes and the evaluation methods to measure them. We also present the emphasis usability had in the selection process. We do not elaborate on the details of the results, the application of methods or gathering of data. Instead we focus on the components of the framework to inform and give an example to other similar procurement projects.

Ubiquitous information for ubiquitous computing: expressing clinical data sets with openEHR archetypes.

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Garde, Sebastian; Hovenga, Evelyn; Buck, Jasmin; Knaup, Petra

2006-01-01

Ubiquitous computing requires ubiquitous access to information and knowledge. With the release of openEHR Version 1.0 there is a common model available to solve some of the problems related to accessing information and knowledge by improving semantic interoperability between clinical systems. Considerable work has been undertaken by various bodies to standardise Clinical Data Sets. Notwithstanding their value, several problems remain unsolved with Clinical Data Sets without the use of a common model underpinning them. This paper outlines these problems like incompatible basic data types and overlapping and incompatible definitions of clinical content. A solution to this based on openEHR archetypes is motivated and an approach to transform existing Clinical Data Sets into archetypes is presented. To avoid significant overlaps and unnecessary effort during archetype development, archetype development needs to be coordinated nationwide and beyond and also across the various health professions in a formalized process.

Using Monte Carlo/Gaussian Based Small Area Estimates to Predict Where Medicaid Patients Reside.

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Behrens, Jess J; Wen, Xuejin; Goel, Satyender; Zhou, Jing; Fu, Lina; Kho, Abel N

2016-01-01

Electronic Health Records (EHR) are rapidly becoming accepted as tools for planning and population health 1,2 . With the national dialogue around Medicaid expansion 12 , the role of EHR data has become even more important. For their potential to be fully realized and contribute to these discussions, techniques for creating accurate small area estimates is vital. As such, we examined the efficacy of developing small area estimates for Medicaid patients in two locations, Albuquerque and Chicago, by using a Monte Carlo/Gaussian technique that has worked in accurately locating registered voters in North Carolina 11 . The Albuquerque data, which includes patient address, will first be used to assess the accuracy of the methodology. Subsequently, it will be combined with the EHR data from Chicago to develop a regression that predicts Medicaid patients by US Block Group. We seek to create a tool that is effective in translating EHR data's potential for population health studies.

Incorporating personalized gene sequence variants, molecular genetics knowledge, and health knowledge into an EHR prototype based on the Continuity of Care Record standard

Science.gov (United States)

Jing, Xia; Kay, Stephen; Marley, Tom; Hardiker, Nicholas R.; Cimino, James J.

2011-01-01

Summary Objectives The current volume and complexity of genetic tests, and the molecular genetics knowledge and health knowledge related to interpretation of the results of those tests, are rapidly outstripping the ability of individual clinicians to recall, understand and convey to their patients information relevant to their care. The tailoring of molecular genetics knowledge and health knowledge in clinical settings is important both for the provision of personalized medicine and to reduce clinician information overload. In this paper we describe the incorporation, customization and demonstration of molecular genetic data (mainly sequence variants), molecular genetics knowledge and health knowledge into a standards-based electronic health record (EHR) prototype developed specifically for this study. Methods We extended the CCR (Continuity of Care Record), an existing EHR standard for representing clinical data, to include molecular genetic data. An EHR prototype was built based on the extended CCR and designed to display relevant molecular genetics knowledge and health knowledge from an existing knowledge base for cystic fibrosis (OntoKBCF). We reconstructed test records from published case reports and represented them in the CCR schema. We then used the EHR to dynamically filter molecular genetics knowledge and health knowledge from OntoKBCF using molecular genetic data and clinical data from the test cases. Results The molecular genetic data were successfully incorporated in the CCR by creating a category of laboratory results called “Molecular Genetics ” and specifying a particular class of test (“Gene Mutation Test”) in this category. Unlike other laboratory tests reported in the CCR, results of tests in this class required additional attributes (“Molecular Structure” and “Molecular Position”) to support interpretation by clinicians. These results, along with clinical data (age, sex, ethnicity, diagnostic procedures, and therapies) were used

Can openEHR archetypes be used in a national context? The Danish archetype proof-of-concept project.

Science.gov (United States)

Bernstein, Knut; Tvede, Ida; Petersen, Jan; Bredegaard, Kirsten

2009-01-01

Semantic interoperability and secondary use of data are important informatics challenges in modern healthcare. Connected Digital Health Denmark is investigating if the openEHR reference model, archetypes and templates could be used for representing and exchanging clinical content specification and could become a candidate for a national logical infrastructure for semantic interoperability. The Danish archetype proof-of-concept project has tried out some elements of the openEHR methodology in cooperation with regions and vendors. The project has pointed out benefits and challenges using archetypes, and has identified barriers that need to be addressed in the next steps.

Mutational and putative neoantigen load predict clinical benefit of adoptive T cell therapy in melanoma

DEFF Research Database (Denmark)

Lauss, Martin; Donia, Marco; Harbst, Katja

2017-01-01

Adoptive T-cell therapy (ACT) is a highly intensive immunotherapy regime that has yielded remarkable response rates and many durable responses in clinical trials in melanoma; however, 50-60% of the patients have no clinical benefit. Here, we searched for predictive biomarkers to ACT in melanoma. ...

Special Topic Interoperability and EHR: Combining openEHR, SNOMED, IHE, and Continua as approaches to interoperability on national eHealth.

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Beštek, Mate; Stanimirović, Dalibor

2017-08-09

The main aims of the paper comprise the characterization and examination of the potential approaches regarding interoperability. This includes openEHR, SNOMED, IHE, and Continua as combined interoperability approaches, possibilities for their incorporation into the eHealth environment, and identification of the main success factors in the field, which are necessary for achieving required interoperability, and consequently, for the successful implementation of eHealth projects in general. The paper represents an in-depth analysis regarding the potential application of openEHR, SNOMED, IHE and Continua approaches in the development and implementation process of eHealth in Slovenia. The research method used is both exploratory and deductive in nature. The methodological framework is grounded on information retrieval with a special focus on research and charting of existing experience in the field, and sources, both electronic and written, which include interoperability concepts and related implementation issues. The paper will try to answer the following inquiries that are complementing each other: 1. Scrutiny of the potential approaches, which could alleviate the pertinent interoperability issues in the Slovenian eHealth context. 2. Analyzing the possibilities (requirements) for their inclusion in the construction process for individual eHealth solutions. 3. Identification and charting the main success factors in the interoperability field that critically influence development and implementation of eHealth projects in an efficient manner. Provided insights and identified success factors could serve as a constituent of the strategic starting points for continuous integration of interoperability principles into the healthcare domain. Moreover, the general implementation of the identified success factors could facilitate better penetration of ICT into the healthcare environment and enable the eHealth-based transformation of the health system especially in the countries

Health information technology: integration of clinical workflow into meaningful use of electronic health records.

Science.gov (United States)

Bowens, Felicia M; Frye, Patricia A; Jones, Warren A

2010-10-01

This article examines the role that clinical workflow plays in successful implementation and meaningful use of electronic health record (EHR) technology in ambulatory care. The benefits and barriers of implementing EHRs in ambulatory care settings are discussed. The researchers conclude that widespread adoption and meaningful use of EHR technology rely on the successful integration of health information technology (HIT) into clinical workflow. Without successful integration of HIT into clinical workflow, clinicians in today's ambulatory care settings will continue to resist adoption and implementation of EHR technology.

Inter-organizational future proof EHR systems. A review of the security and privacy related issues.

Science.gov (United States)

van der Linden, Helma; Kalra, Dipak; Hasman, Arie; Talmon, Jan

2009-03-01

Identification and analysis of privacy and security related issues that occur when health information is exchanged between health care organizations. Based on a generic scenario questions were formulated to reveal the occurring issues. Possible answers were verified in literature. Ensuring secure health information exchange across organizations requires a standardization of security measures that goes beyond organizational boundaries, such as global definitions of professional roles, global standards for patient consent and semantic interoperable audit logs. As to be able to fully address the privacy and security issues in interoperable EHRs and the long-life virtual EHR it is necessary to realize a paradigm shift from storing all incoming information in a local system to retrieving information from external systems whenever that information is deemed necessary for the care of the patient.

Rapid EHR development and implementation using web and cloud-based architecture in a large home health and hospice organization.

Science.gov (United States)

Weaver, Charlotte A; Teenier, Pamela

2014-01-01

Health care organizations have long been limited to a small number of major vendors in their selection of an electronic health record (EHR) system in the national and international marketplace. These major EHR vendors have in common base systems that are decades old, are built in antiquated programming languages, use outdated server architecture, and are based on inflexible data models [1,2]. The option to upgrade their technology to keep pace with the power of new web-based architecture, programming tools and cloud servers is not easily undertaken due to large client bases, development costs and risk [3]. This paper presents the decade-long efforts of a large national provider of home health and hospice care to select an EHR product, failing that to build their own and failing that initiative to go back into the market in 2012. The decade time delay had allowed new technologies and more nimble vendors to enter the market. Partnering with a new start-up company doing web and cloud based architecture for the home health and hospice market, made it possible to build, test and implement an operational and point of care system in 264 home health locations across 40 states and three time zones in the United States. This option of "starting over" with the new web and cloud technologies may be posing a next generation of new EHR vendors that retells the Blackberry replacement by iPhone story in healthcare.

Understanding Study Participants Views on Co-Creation of Data and Use of EHR in Clinical Studies.

Science.gov (United States)

Scott Duncan, Therese; Hägglund, Maria

2018-01-01

In order to increase clinical trial participation, the reasons for participating need to be observed. Since there is rather inadequate information concerning how individuals such as patients, decides to participate in clinical trials semi-structured interviews have been done. Examining the use of EHR in clinical trials and co-creation of data, the result showed that it is important for the researches to have access to the patients' EHR and for the patients to contribute with their own ideas of research. Important aspects of further participation in clinical trials were that it should be fun and informative. The patients agreed on that the effort of participating could decrease with the use of electronically collection and self-reporting of data, e.g. through a patient portal.

Evidence of an emerging digital divide among hospitals that care for the poor.

Science.gov (United States)

Jha, Ashish K; DesRoches, Catherine M; Shields, Alexandra E; Miralles, Paola D; Zheng, Jie; Rosenbaum, Sara; Campbell, Eric G

2009-01-01

Some hospitals that disproportionately care for poor patients are falling behind in adopting electronic health records (EHRs). Data from a national survey indicate early evidence of an emerging digital divide: U.S. hospitals that provide care to large numbers of poor patients also had minimal use of EHRs. These same hospitals lagged others in quality performance as well, but those with EHR systems seemed to have eliminated the quality gap. These findings suggest that adopting EHRs should be a major policy goal of health reform measures targeting hospitals that serve large populations of poor patients.

Validation of the openEHR archetype library by using OWL reasoning.

Science.gov (United States)

Menárguez-Tortosa, Marcos; Fernández-Breis, Jesualdo Tomás

2011-01-01

Electronic Health Record architectures based on the dual model architecture use archetypes for representing clinical knowledge. Therefore, ensuring their correctness and consistency is a fundamental research goal. In this work, we explore how an approach based on OWL technologies can be used for such purpose. This method has been applied to the openEHR archetype repository, which is the largest available one nowadays. The results of this validation are also reported in this study.

Special topic interoperability and EHR: Combining openEHR, SNOMED, IHE, and continua as approaches to interoperability on national ehealth

DEFF Research Database (Denmark)

Bestek, M.; Stanimirovi, D.

2017-01-01

into the eHealth environment, and identification of the main success factors in the field, which are necessary for achieving required interoperability, and consequently, for the successful implementation of eHealth projects in general. Methods: The paper represents an in-depth analysis regarding...... the potential application of openEHR, SNOMED, IHE and Continua approaches in the development and implementation process of eHealth in Slovenia. The research method used is both exploratory and deductive in nature. The methodological framework is grounded on information retrieval with a special focus on research...... could alleviate the pertinent interoperability issues in the Slovenian eHealth context. 2. Analyzing the possibilities (requirements) for their inclusion in the construction process for individual eHealth solutions. 3. Identification and charting the main success factors in the interoperability field...

Using Electronic Health Records to Support Clinical Trials: A Report on Stakeholder Engagement for EHR4CR.

Science.gov (United States)

McCowan, Colin; Thomson, Elizabeth; Szmigielski, Cezary A; Kalra, Dipak; Sullivan, Frank M; Prokosch, Hans-Ulrich; Dugas, Martin; Ford, Ian

2015-01-01

The conduct of clinical trials is increasingly challenging due to greater complexity and governance requirements as well as difficulties with recruitment and retention. Electronic Health Records for Clinical Research (EHR4CR) aims at improving the conduct of trials by using existing routinely collected data, but little is known about stakeholder views on data availability, information governance, and acceptable working practices. Senior figures in healthcare organisations across Europe were provided with a description of the project and structured interviews were subsequently conducted to elicit their views. 37 structured interviewees in Germany, UK, Switzerland, and France indicated strong support for the proposed EHR4CR platform. All interviewees reported that using the platform for assessing feasibility would enhance the conduct of clinical trials and the majority also felt it would reduce workloads. Interviewees felt the platform could enhance trial recruitment and adverse event reporting but also felt it could raise either ethical or information governance concerns in their country. There was clear support for EHR4CR and a belief that it could reduce workloads and improve the conduct and quality of trials. However data security, privacy, and information governance issues would need to be carefully managed in the development of the platform.

Using Electronic Health Records to Support Clinical Trials: A Report on Stakeholder Engagement for EHR4CR

Directory of Open Access Journals (Sweden)

Colin McCowan

2015-01-01

Full Text Available Background. The conduct of clinical trials is increasingly challenging due to greater complexity and governance requirements as well as difficulties with recruitment and retention. Electronic Health Records for Clinical Research (EHR4CR aims at improving the conduct of trials by using existing routinely collected data, but little is known about stakeholder views on data availability, information governance, and acceptable working practices. Methods. Senior figures in healthcare organisations across Europe were provided with a description of the project and structured interviews were subsequently conducted to elicit their views. Results. 37 structured interviewees in Germany, UK, Switzerland, and France indicated strong support for the proposed EHR4CR platform. All interviewees reported that using the platform for assessing feasibility would enhance the conduct of clinical trials and the majority also felt it would reduce workloads. Interviewees felt the platform could enhance trial recruitment and adverse event reporting but also felt it could raise either ethical or information governance concerns in their country. Conclusions. There was clear support for EHR4CR and a belief that it could reduce workloads and improve the conduct and quality of trials. However data security, privacy, and information governance issues would need to be carefully managed in the development of the platform.

Electronic Health Record Use a Bitter Pill for Many Physicians.

Science.gov (United States)

Meigs, Stephen L; Solomon, Michael

2016-01-01

Electronic health record (EHR) adoption among office-based physician practices in the United States has increased significantly in the past decade. However, the challenges of using EHRs have resulted in growing dissatisfaction with the systems among many of these physicians. The purpose of this qualitative multiple-case study was to increase understanding of physician perceptions regarding the value of using EHR technology. Important findings included the belief among physicians that EHR systems need to be more user-friendly and adaptable to individual clinic workflow preferences, physician beliefs that lack of interoperability among EHRs is a major barrier to meaningful use of the systems, and physician beliefs that EHR use does not improve the quality of care provided to patients. These findings suggest that although government initiatives to encourage EHR adoption among office-based physician practices have produced positive results, additional support may be required in the future to maintain this momentum.

Dealing with the archetypes development process for a regional EHR system.

Science.gov (United States)

Santos, M R; Bax, M P; Kalra, D

2012-01-01

This paper aims to present the archetype modelling process used for the Health Department of Minas Gerais State, Brazil (SES/MG), to support building its regional EHR system, and the lessons learned during this process. This study was undertaken within the Minas Gerais project. The EHR system architecture was built assuming the reference model from the ISO 13606 norm. The whole archetype development process took about ten months, coordinated by a clinical team co-ordinated by three health professionals and one systems analyst from the SES/MG. They were supported by around 30 health professionals from the internal SES/MG areas, and 5 systems analysts from the PRODEMGE. Based on a bottom-up approach, the project team used technical interviews and brainstorming sessions to conduct the modelling process. The main steps of the archetype modelling process were identified and described, and 20 archetypes were created. -The set of principles established during the selection of PCS elements helped the clinical team to keep the focus in their objectives;-The initial focus on the archetype structural organization aspects was important;-The data elements identified were subjected to a rigorous analysis aimed at determining the most suitable clinical domain;-Levelling the concepts to accommodate them within the hierarchical levels in the reference model was definitely no easy task, and the use of a mind mapping tool facilitated the modelling process;-Part of the difficulty experienced by the clinical team was related to a view focused on the original forms previously used;-The use of worksheets facilitated the modelling process by health professionals;-It was important to have a health professional that knew about the domain tables and health classifications from the Brazilian Federal Government as member in the clinical team. The archetypes (referencing terminology, domain tables and term lists) provided a favorable condition for the use of a controlled vocabulary between the

Examining Gender Differences toward the Adoption of Online Learning and Predicting the Readiness of Faculty Members in a Middle-Eastern Recently Established Public University

Science.gov (United States)

Abahussain, Mohammed Mansour

2017-01-01

This quantitative study examined the gender-based difference toward the adoption of online learning based on constructs of the Theory of Planned Behavior (TPB). It is also aimed to predict the Behavioral Intention of the adoption of online learning based on the predicting variables of the TPB, Attitude, Subjective Norm, and Perceived Behavioral…

Observing health professionals' workflow patterns for diabetes care - First steps towards an ontology for EHR services.

Science.gov (United States)

Schweitzer, M; Lasierra, N; Hoerbst, A

2015-01-01

Increasing the flexibility from a user-perspective and enabling a workflow based interaction, facilitates an easy user-friendly utilization of EHRs for healthcare professionals' daily work. To offer such versatile EHR-functionality, our approach is based on the execution of clinical workflows by means of a composition of semantic web-services. The backbone of such architecture is an ontology which enables to represent clinical workflows and facilitates the selection of suitable services. In this paper we present the methods and results after running observations of diabetes routine consultations which were conducted in order to identify those workflows and the relation among the included tasks. Mentioned workflows were first modeled by BPMN and then generalized. As a following step in our study, interviews will be conducted with clinical personnel to validate modeled workflows.

Building Chronic Kidney Disease Clinical Practice Guidelines Using the openEHR Guideline Definition Language.

Science.gov (United States)

Lin, Ching-Heng; Lo, Ying-Chih; Hung, Pei-Yuan; Liou, Der-Ming

2016-12-07

As a result of the disease's high prevalence, chronic kidney disease (CKD) has become a global public health problem. A clinical decision support system that integrates with computer-interpretable guidelines (CIGs) should improve clinical outcomes and help to ensure patient safety. The openEHR guideline definition language (GDL) is a formal language used to represent CIGs. This study explores the feasibility of using a GDL approach for CKD; it also attempts to identify any potential gaps between the ideal concept and reality. Using the Kidney Disease Improving Global Outcomes (KDIGO) anemia guideline as material, we designed a development workflow in order to establish a series of GDL guidelines. Focus group discussions were conducted in order to identify important issues related to GDL implementation. Ten GDL guidelines and 37 archetypes were established using the KDIGO guideline document. For the focus group discussions, 16 clinicians and 22 IT experts were recruited and their perceptions, opinions and attitudes towards the GDL approach were explored. Both groups provided positive feedback regarding the GDL approach, but raised various concerns about GDL implementation. Based on the findings of this study, we identified some potential gaps that might exist during implementation between the GDL concept and reality. Three directions remain to be investigated in the future. Two of them are related to the openEHR GDL approach. Firstly, there is a need for the editing tool to be made more sophisticated. Secondly, there needs to be integration of the present approach into non openEHR-based hospital information systems. The last direction focuses on the applicability of guidelines and involves developing a method to resolve any conflicts that occur with insurance payment regulations.

Evaluation of a comprehensive EHR based on the DeLone and McLean model for IS success: approach, results, and success factors.

Science.gov (United States)

Bossen, Claus; Jensen, Lotte Groth; Udsen, Flemming Witt

2013-10-01

The article describes the methodological approach to, and results of an evaluation of a comprehensive electronic health record (EHR) in the shake down phase, shortly after its implementation at a regional hospital in Denmark. A formative evaluation based on a mixed-methods case study, designed to be interactive and concurrent was conducted at two hospital departments based on the updated DeLone and McLean framework for evaluating information systems success. To ascertain user assessments of the EHR, we distributed a questionnaire two months after implementation to four groups of staff (physicians, nurses, medical secretaries, and physiotherapists; n=244), and at the same time we conducted thirteen individual, semi-structured interviews with representatives from these four groups. Subsequently, seven follow-up focus group interviews were conducted with the four above-mentioned groups, in order to go deeper into specific user assessments. Simultaneously, focus group interviews with two IT departments and the implementation team were conducted, to gain insight into system provider assessments of the implementation process and the EHR. Before, during, and after implementation, 88 h of ethnographic observation were carried out, to give the researchers an understanding of the daily routine of staff, and their use of health records. Finally, daily system performance data were obtained, to gather factual information on system response and downtime. Overall, staff had positive experiences with the EHR and its operational reliability, response time, login and support. Performance was acceptable. Medical secretaries found the use of the patient administration module cumbersome, and physicians found the establishment of the overview of professionally relevant data challenging. There were demands for improvements to these and other functionalities, and for the EHR to be integrated with other systems and databases. Evaluations immediately following implementation are inherently

The readmission risk flag: using the electronic health record to automatically identify patients at risk for 30-day readmission.

Science.gov (United States)

Baillie, Charles A; VanZandbergen, Christine; Tait, Gordon; Hanish, Asaf; Leas, Brian; French, Benjamin; Hanson, C William; Behta, Maryam; Umscheid, Craig A

2013-12-01

Identification of patients at high risk for readmission is a crucial step toward improving care and reducing readmissions. The adoption of electronic health records (EHR) may prove important to strategies designed to risk stratify patients and introduce targeted interventions. To develop and implement an automated prediction model integrated into our health system's EHR that identifies on admission patients at high risk for readmission within 30 days of discharge. Retrospective and prospective cohort. Healthcare system consisting of 3 hospitals. All adult patients admitted from August 2009 to September 2012. An automated readmission risk flag integrated into the EHR. Thirty-day all-cause and 7-day unplanned healthcare system readmissions. Using retrospective data, a single risk factor, ≥ 2 inpatient admissions in the past 12 months, was found to have the best balance of sensitivity (40%), positive predictive value (31%), and proportion of patients flagged (18%), with a C statistic of 0.62. Sensitivity (39%), positive predictive value (30%), proportion of patients flagged (18%), and C statistic (0.61) during the 12-month period after implementation of the risk flag were similar. There was no evidence for an effect of the intervention on 30-day all-cause and 7-day unplanned readmission rates in the 12-month period after implementation. An automated prediction model was effectively integrated into an existing EHR and identified patients on admission who were at risk for readmission within 30 days of discharge. © 2013 Society of Hospital Medicine.

Behavioral change theories can inform the prediction of young adults' adoption of a plant-based diet.

Science.gov (United States)

Wyker, Brett A; Davison, Kirsten K

2010-01-01

Drawing on the Theory of Planned Behavior (TPB) and the Transtheoretical Model (TTM), this study (1) examines links between stages of change for following a plant-based diet (PBD) and consuming more fruits and vegetables (FV); (2) tests an integrated theoretical model predicting intention to follow a PBD; and (3) identifies associated salient beliefs. Cross-sectional. Large public university in the northeastern United States. 204 college students. TPB and TTM constructs were assessed using validated scales. Outcome, normative, and control beliefs were measured using open-ended questions. The overlap between stages of change for FV consumption and adopting a PBD was assessed using Spearman rank correlation analysis and cross-tab comparisons. The proposed model predicting adoption of a PBD was tested using structural equation modeling (SEM). Salient beliefs were coded using automatic response coding software. No association was found between stages of change for FV consumption and following a PBD. Results from SEM analyses provided support for the proposed model predicting intention to follow a PBD. Gender differences in salient beliefs for following a PBD were found. Results demonstrate the potential for effective theory-driven and stage-tailored public health interventions to promote PBDs. Copyright 2010 Society for Nutrition Education. Published by Elsevier Inc. All rights reserved.

A Non-Modeling Exploration of Residential Solar Photovoltaic (PV) Adoption and Non-Adoption

Energy Technology Data Exchange (ETDEWEB)

Moezzi, Mithra [Portland State Univ., Portland, OR (United States); Ingle, Aaron [Portland State Univ., Portland, OR (United States); Lutzenhiser, Loren [Portland State Univ., Portland, OR (United States); Sigrin, Benjamin O. [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

2017-09-01

Although U.S. deployment of residential rooftop solar photovoltaic (PV) systems has accelerated in recent years, PV is still installed on less than 1 percent of single-family homes. Most research on household PV adoption focuses on scaling initial markets and modeling predicted growth rather than considering more broadly why adoption occurs. Among the studies that have investigated the characteristics of PV adoption, most collected data from adopters, sometimes with additional non-adopter data, and rarely from people who considered but did not adopt PV. Yet the vast majority of Americans are non-adopters, and they are a diverse group - understanding their ways of evaluating PV adoption is important. Similarly, PV is a unique consumer product, which makes it difficult to apply findings from studies of other technologies to PV. In addition, little research addresses the experience of households after they install PV. This report helps fill some of these gaps in the existing literature. The results inform a more detailed understanding of residential PV adoption, while helping ensure that adoption is sufficiently beneficial to adopters and even non-adopters.

An e-consent-based shared EHR system architecture for integrated healthcare networks.

Science.gov (United States)

Bergmann, Joachim; Bott, Oliver J; Pretschner, Dietrich P; Haux, Reinhold

2007-01-01

Virtual integration of distributed patient data promises advantages over a consolidated health record, but raises questions mainly about practicability and authorization concepts. Our work aims on specification and development of a virtual shared health record architecture using a patient-centred integration and authorization model. A literature survey summarizes considerations of current architectural approaches. Complemented by a methodical analysis in two regional settings, a formal architecture model was specified and implemented. Results presented in this paper are a survey of architectural approaches for shared health records and an architecture model for a virtual shared EHR, which combines a patient-centred integration policy with provider-oriented document management. An electronic consent system assures, that access to the shared record remains under control of the patient. A corresponding system prototype has been developed and is currently being introduced and evaluated in a regional setting. The proposed architecture is capable of partly replacing message-based communications. Operating highly available provider repositories for the virtual shared EHR requires advanced technology and probably means additional costs for care providers. Acceptance of the proposed architecture depends on transparently embedding document validation and digital signature into the work processes. The paradigm shift from paper-based messaging to a "pull model" needs further evaluation.

Adopters and non-adopters of wood pellet heating in Norwegian households

International Nuclear Information System (INIS)

Sopha, Bertha Maya; Hertwich, Edgar G.; Kloeckner, Christian A.

2011-01-01

The aim of the present paper is to understand the differences between adopters and non-adopters of wood pellet heating in Norwegian households by comparing the two groups with regard to key points of adoption. A mail survey of 669 adopters and 291 non-adopters of wood pellet heating was conducted in 2008. Results indicate that there are significant differences between groups with respect to socio-demographic factors, decision-related factors, heating systems adopted and reasons for shifting heating systems. The results also indicate that the adopter group shows characteristics of early adopters, whereas the non-adopter group has characteristics of late adopters. The results for levels of income and education contradict what would be predicted from theory, however. Both groups show no significant difference with respect to values, but the perception of which heating system is the most environmentally friendly differs significantly. The top three reasons cited by the adopter group for installing wood pellet heating are getting an environmentally friendly heating system, low operation costs and an anticipated increase in electricity prices. According to the non-adopter group, the main barriers to adoption are high installation costs, followed by the difficulties of refitting the house for wood pellet heating. A higher subsidy (i.e., an average of 64% of the total installation cost) rather than the current subsidy of up to 20% was required by the non-adopter group to switch to wood pellet heating. (author)

Impact of Electronic Health Records on Long-Term Care Facilities: Systematic Review.

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Kruse, Clemens Scott; Mileski, Michael; Vijaykumar, Alekhya Ganta; Viswanathan, Sneha Vishnampet; Suskandla, Ujwala; Chidambaram, Yazhini

2017-09-29

Long-term care (LTC) facilities are an important part of the health care industry, providing care to the fastest-growing group of the population. However, the adoption of electronic health records (EHRs) in LTC facilities lags behind other areas of the health care industry. One of the reasons for the lack of widespread adoption in the United States is that LTC facilities are not eligible for incentives under the Meaningful Use program. Implementation of an EHR system in an LTC facility can potentially enhance the quality of care, provided it is appropriately implemented, used, and maintained. Unfortunately, the lag in adoption of the EHR in LTC creates a paucity of literature on the benefits of EHR implementation in LTC facilities. The objective of this systematic review was to identify the potential benefits of implementing an EHR system in LTC facilities. The study also aims to identify the common conditions and EHR features that received favorable remarks from providers and the discrepancies that needed improvement to build up momentum across LTC settings in adopting this technology. The authors conducted a systematic search of PubMed, Cumulative Index of Nursing and Allied Health (CINAHL), and MEDLINE databases. Papers were analyzed by multiple referees to filter out studies not germane to our research objective. A final sample of 28 papers was selected to be included in the systematic review. Results of this systematic review conclude that EHRs show significant improvement in the management of documentation in LTC facilities and enhanced quality outcomes. Approximately 43% (12/28) of the papers reported a mixed impact of EHRs on the management of documentation, and 33% (9/28) of papers reported positive quality outcomes using EHRs. Surprisingly, very few papers demonstrated an impact on patient satisfaction, physician satisfaction, the length of stay, and productivity using EHRs. Overall, implementation of EHRs has been found to be effective in the few LTC

Adoption of Electronic Personal Health Records in Canada: Perceptions of Stakeholders.

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Gagnon, Marie-Pierre; Payne-Gagnon, Julie; Breton, Erik; Fortin, Jean-Paul; Khoury, Lara; Dolovich, Lisa; Price, David; Wiljer, David; Bartlett, Gillian; Archer, Norman

2016-04-06

Healthcare stakeholders have a great interest in the adoption and use of electronic personal health records (ePHRs) because of the potential benefits associated with them. Little is known, however, about the level of adoption of ePHRs in Canada and there is limited evidence concerning their benefits and implications for the healthcare system. This study aimed to describe the current situation of ePHRs in Canada and explore stakeholder perceptions regarding barriers and facilitators to their adoption. Using a qualitative descriptive study design, we conducted semi-structured phone interviews between October 2013 and February 2014 with 35 individuals from seven Canadian provinces. The participants represented six stakeholder groups (patients, ePHR administrators, healthcare professionals, organizations interested in health technology development, government agencies, and researchers). A detailed summary of each interview was created and thematic analysis was conducted. We observed that there was no consensual definition of ePHR in Canada. Factors that could influence ePHR adoption were related to knowledge (confusion with other electronic medical records [EMRs] and lack of awareness), system design (usability and relevance), user capacities and attitudes (patient health literacy, education and interest, support for professionals), environmental factors (government commitment, targeted populations) and legal and ethical issues (information control and custody, confidentiality, privacy and security). ePHRs are slowly entering the Canadian healthcare landscape but provinces do not seem well-prepared for the implementation of this type of record. Guidance is needed on critical issues regarding ePHRs, such as ePHR definition, data ownership, access to information and interoperability with other electronic health records (EHRs). Better guidance on these issues would provide a greater awareness of ePHRs and inform stakeholders including clinicians, decision-makers, patients

Adoption of Electronic Personal Health Records in Canada: Perceptions of Stakeholders

Directory of Open Access Journals (Sweden)

Marie-Pierre Gagnon

2016-07-01

Full Text Available Background: Healthcare stakeholders have a great interest in the adoption and use of electronic personal health records (ePHRs because of the potential benefits associated with them. Little is known, however, about the level of adoption of ePHRs in Canada and there is limited evidence concerning their benefits and implications for the healthcare system. This study aimed to describe the current situation of ePHRs in Canada and explore stakeholder perceptions regarding barriers and facilitators to their adoption. Methods: Using a qualitative descriptive study design, we conducted semi-structured phone interviews between October 2013 and February 2014 with 35 individuals from seven Canadian provinces. The participants represented six stakeholder groups (patients, ePHR administrators, healthcare professionals, organizations interested in health technology development, government agencies, and researchers. A detailed summary of each interview was created and thematic analysis was conducted. Results: We observed that there was no consensual definition of ePHR in Canada. Factors that could influence ePHR adoption were related to knowledge (confusion with other electronic medical records [EMRs] and lack of awareness, system design (usability and relevance, user capacities and attitudes (patient health literacy, education and interest, support for professionals, environmental factors (government commitment, targeted populations and legal and ethical issues (information control and custody, confidentiality, privacy and security. Conclusion: ePHRs are slowly entering the Canadian healthcare landscape but provinces do not seem wellprepared for the implementation of this type of record. Guidance is needed on critical issues regarding ePHRs, such as ePHR definition, data ownership, access to information and interoperability with other electronic health records (EHRs. Better guidance on these issues would provide a greater awareness of ePHRs and inform

Analysis of cloud-based solutions on EHRs systems in different scenarios.

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Fernández-Cardeñosa, Gonzalo; de la Torre-Díez, Isabel; López-Coronado, Miguel; Rodrigues, Joel J P C

2012-12-01

Nowadays with the growing of the wireless connections people can access all the resources hosted in the Cloud almost everywhere. In this context, organisms can take advantage of this fact, in terms of e-Health, deploying Cloud-based solutions on e-Health services. In this paper two Cloud-based solutions for different scenarios of Electronic Health Records (EHRs) management system are proposed. We have researched articles published between the years 2005 and 2011 about the implementation of e-Health services based on the Cloud in Medline. In order to analyze the best scenario for the deployment of Cloud Computing two solutions for a large Hospital and a network of Primary Care Health centers have been studied. Economic estimation of the cost of the implementation for both scenarios has been done via the Amazon calculator tool. As a result of this analysis two solutions are suggested depending on the scenario: To deploy a Cloud solution for a large Hospital a typical Cloud solution in which are hired just the needed services has been assumed. On the other hand to work with several Primary Care Centers it's suggested the implementation of a network, which interconnects these centers with just one Cloud environment. Finally it's considered the fact of deploying a hybrid solution: in which EHRs with images will be hosted in the Hospital or Primary Care Centers and the rest of them will be migrated to the Cloud.

A Correlational Analysis: Electronic Health Records (EHR) and Quality of Care in Critical Access Hospitals

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Khan, Arshia A.

2012-01-01

Driven by the compulsion to improve the evident paucity in quality of care, especially in critical access hospitals in the United States, policy makers, healthcare providers, and administrators have taken the advise of researchers suggesting the integration of technology in healthcare. The Electronic Health Record (EHR) System composed of multiple…

Mapping HL7 CDA R2 Formatted Mass Screening Data to OpenEHR Archetypes.

Science.gov (United States)

Kobayashi, Shinji; Kume, Naoto; Yoshihara, Hiroyuki

2017-01-01

Mass screening of adults was performed to manage employee healthcare. The screening service defined the data collection format as HL7 Clinical Document Architecture (CDA) R2. To capture mass screening data for nationwide electronic health records (her), we programmed a model within the CDA format and mapped the data items to the ISO13606/openEHR archetype for semantic interoperabiilty.

Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Behavioral Domain.

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Lytle, Leslie A; Nicastro, Holly L; Roberts, Susan B; Evans, Mary; Jakicic, John M; Laposky, Aaron D; Loria, Catherine M

2018-04-01

The ability to identify and measure behaviors that are related to weight loss and the prevention of weight regain is crucial to understanding the variability in response to obesity treatment and the development of tailored treatments. The overarching goal of the Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core Measures Project is to provide obesity researchers with guidance on a set of constructs and measures that are related to weight control and that span and integrate obesity-related behavioral, biological, environmental, and psychosocial domains. This article describes how the behavioral domain subgroup identified the initial list of high-priority constructs and measures to be included, and it describes practical considerations for assessing the following four behavioral areas: eating, activity, sleep, and self-monitoring of weight. Challenges and considerations for advancing the science related to weight loss and maintenance behaviors are also discussed. Assessing a set of core behavioral measures in combination with those from other ADOPT domains is critical to improve our understanding of individual variability in response to adult obesity treatment. The selection of behavioral measures is based on the current science, although there continues to be much work needed in this field. © 2018 The Obesity Society.

Identifying Barriers in the Use of Electronic Health Records in Hawai‘i

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Hamamura, Faith D; Hughes, Kira

2017-01-01

Hawai‘i faces unique challenges to Electronic Health Record (EHR) adoption due to physician shortages, a widespread distribution of Medically Underserved Areas and Populations (MUA/P), and a higher percentage of small independent practices. However, research on EHR adoption in Hawai‘i is limited. To address this gap, this article examines the current state of EHR in Hawai‘i, the barriers to adoption, and the future of Health Information Technology (HIT) initiatives to improve the health of Hawai‘i's people. Eight focus groups were conducted on Lana‘i, Maui, Hawai‘i Island, Kaua‘i, Moloka‘i, and O‘ahu. In these groups, a total of 51 diverse health professionals were asked about the functionality of EHR systems, barriers to use, facilitators of use, and what EHRs would look like in a perfect world. Responses were summarized and analyzed based on constant comparative analysis techniques. Responses were then clustered into thirteen themes: system compatibility, loss of productivity, poor interface, IT support, hardware/software, patient factors, education/training, noise in the system, safety, data quality concerns, quality metrics, workflow, and malpractice concerns. Results show that every group mentioned system compatibility. In response to these findings, the Health eNet Community Health Record initiative — which allows providers web-based access to patient health information from the patient's provider network— was developed as a step toward alleviating some of the barriers to sharing information between different EHRs. The Medicare Access and CHIP Reauthorization Act of 2015 (MACRA) legislation will introduce a new payment model in 2017 that is partially based on EHR utilization. Therefore, more research should be done to understand EHR adoption and how this ruling will affect providers in Hawai‘i. PMID:28435756

Design and Testing of an EHR-Integrated, Busulfan Pharmacokinetic Decision Support Tool for the Point-of-Care Clinician.

Directory of Open Access Journals (Sweden)

Susan M. Abdel-Rahman

2016-03-01

Full Text Available BACKGROUND: Busulfan demonstrates a narrow therapeutic index for which clinicians routinely employ therapeutic drug monitoring (TDM. However, operationalizing TDM can be fraught with inefficiency. We developed and tested software encoding a clinical decision support tool (DST that is embedded into our electronic health record (EHR and designed to streamline the TDM process for our oncology partners. METHODS: Our development strategy was modeled based on the features associated with successful DSTs. An initial Requirements Analysis was performed to characterize tasks, information flow, user needs, and system requirements to enable push/pull from the EHR. Back-end development was coded based on the algorithm used when manually performing busulfan TDM. The code was independently validated in MATLAB using 10,000 simulated patient profiles. A 296-item heuristic checklist was used to guide design of the front-end user interface. Content experts and end-users (n=28 were recruited to participate in traditional usability testing under an IRB approved protocol. RESULTS: Decision support software was developed to systematically walk the point-of-care clinician through the TDM process. The system is accessed through the EHR which transparently imports all of the requisite patient data. Data are visually inspected and then curve fit using a model-dependent approach. Quantitative goodness-of-fit are converted to single tachometer where green alerts the user that the model is strong, yellow signals caution and red indicates that there may be a problem with the fitting. Override features are embedded to permit application of a model-independent approach where appropriate. Simulations are performed to target a desired exposure or dose as entered by the clinician and the DST pushes the user approved recommendation back into the EHR. Usability testers were highly satisfied with our DST and quickly became proficient with the software.CONCLUSIONS: With early and

Evaluation of a comprehensive EHR based on the DeLone and McLean model for IS success

DEFF Research Database (Denmark)

Bossen, Claus; Groth Jensen, Lotte; Udsen, Flemming Witt

2013-01-01

:Overall, staff had positive experiences with the EHR and its operational reliability, response time, login and support. Performance was acceptable. Medical secretaries found the use of the patient administration module cumbersome, and physicians found the establishment of the overview of professionally...

A Document-Based EHR System That Controls the Disclosure of Clinical Documents Using an Access Control List File Based on the HL7 CDA Header.

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Takeda, Toshihiro; Ueda, Kanayo; Nakagawa, Akito; Manabe, Shirou; Okada, Katsuki; Mihara, Naoki; Matsumura, Yasushi

2017-01-01

Electronic health record (EHR) systems are necessary for the sharing of medical information between care delivery organizations (CDOs). We developed a document-based EHR system in which all of the PDF documents that are stored in our electronic medical record system can be disclosed to selected target CDOs. An access control list (ACL) file was designed based on the HL7 CDA header to manage the information that is disclosed.

Comparison of response times of a mobile-web EHRs system using PHP and JSP languages.

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De la Torre-Díez, Isabel; Antón-Rodríguez, Míriam; Díaz-Pernas, Francisco Javier; Perozo-Rondón, Freddy José

2012-12-01

Performance evaluation is highly important in the Electronic Health Records (EHRs) system implementation. Response time's measurement can be considered as one manner to make that evaluation. In the e-health field, after the creation of EHRs available through different platforms such as Web and/or mobile, a performance evaluation is necessary. The operation of the system in the right way is essential. In this paper, a comparison of the response times for the MEHRmobile system is presented. The first version uses PHP language with a MySQL database and the second one employs JSP with an eXist database. Both versions have got the same functionalities. In addition to the technological aspects, a significant difference is the way the information is stored. The main goal of this paper is choosing the version which offers better response times. We have created a new benchmark to calculate the response times. Better results have been obtained for the PHP version. Nowadays, this version is being used for specialists from Fundación Intras, Spain.

A novel approach to leveraging electronic health record data to enhance pediatric surgical quality improvement bundle process compliance.

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Fisher, Jason C; Godfried, David H; Lighter-Fisher, Jennifer; Pratko, Joseph; Sheldon, Mary Ellen; Diago, Thelma; Kuenzler, Keith A; Tomita, Sandra S; Ginsburg, Howard B

2016-06-01

Quality improvement (QI) bundles have been widely adopted to reduce surgical site infections (SSI). Improvement science suggests when organizations achieve high-reliability to QI processes, outcomes dramatically improve. However, measuring QI process compliance is poorly supported by electronic health record (EHR) systems. We developed a custom EHR tool to facilitate capture of process data for SSI prevention with the aim of increasing bundle compliance and reducing adverse events. Ten SSI prevention bundle processes were linked to EHR data elements that were then aggregated into a snapshot display superimposed on weekly case-log reports. The data aggregation and user interface facilitated efficient review of all SSI bundle elements, providing an exact bundle compliance rate without random sampling or chart review. Nine months after implementation of our custom EHR tool, we observed centerline shifts in median SSI bundle compliance (46% to 72%). Additionally, as predicted by high reliability principles, we began to see a trend toward improvement in SSI rates (1.68 to 0.87 per 100 operations), but a discrete centerline shift was not detected. Simple informatics solutions can facilitate extraction of QI process data from the EHR without relying on adjunctive systems. Analyses of these data may drive reductions in adverse events. Pediatric surgical departments should consider leveraging the EHR to enhance bundle compliance as they implement QI strategies. Copyright © 2016 Elsevier Inc. All rights reserved.

An effective approach for choosing an electronic health record.

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Rowley, Robert

2009-01-01

With government stimulus money becoming available to encourage healthcare facilities to adopt electronic health record (EHR) systems, the decision to move forward with implementing an EHR system has taken on an urgency not previously seen. The EHR landscape is evolving rapidly and the underlying technology platform is becoming increasingly interconnected. One must make sure that an EHR decision does not lock oneself into technology obsolescence. The best approach for evaluating an EHR is on the basis of:usability, interoperability, and affordability.

A Novel Survey to Examine the Relationship Between Health IT Adoption and Nurse-Physician Communication

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Pfeifer, Eric; Manojlovich, Milisa; Adler-Milstein, Julia

2016-01-01

Summary Background As EHR adoption in US hospitals becomes ubiquitous, a wide range of IT options are theoretically available to facilitate physician-nurse communication, but we know little about the adoption rate of specific technologies or the impact of their use. Objectives To measure adoption of hardware, software, and telephony relevant to nurse-physician communication in US hospitals. To assess the relationship between non-IT communication practices and hardware, software, and telephony adoption. To identify hospital characteristics associated with greater adoption of hardware, software, telephony, and non-IT communication practices. Methods We conducted a survey of 105 hospitals in the National Nursing Practice Network. The survey captured adoption of hardware, software, and telephony to support nurse-physician communication, along with non-IT communication practices. We calculated descriptive statistics and then created four indices, one for each category, by scoring degree of adoption of technologies or practices within each category. Next, we examined correlations between the three technology indices and the non-IT communication practices index. We used multivariate OLS regression to assess whether certain types of hospitals had higher index scores. Results The majority of hospitals surveyed have a range of hardware, software, and telephony tools available to support nurse-physician communication; we found substantial heterogeneity across hospitals in non-IT communication practices. More intensive non-IT communication was associated with greater adoption of software (r=0.31, p=0.01), but was not correlated with hardware or telephony. Medium-sized hospitals had lower adoption of software (r =-1.14,p=0.04) in comparison to small hospitals, while federally-owned hospitals had lower software (r=-2.57, p=0.02) and hardware adoption (r=-1.63, p=0.01). Conclusions The positive relationship between non-IT communication and level of software adoption suggests that

2015 Edition Health Information Technology (Health IT) Certification Criteria, 2015 Edition Base Electronic Health Record (EHR) Definition, and ONC Health IT Certification Program Modifications. Final rule.

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2015-10-16

This final rule finalizes a new edition of certification criteria (the 2015 Edition health IT certification criteria or "2015 Edition'') and a new 2015 Edition Base Electronic Health Record (EHR) definition, while also modifying the ONC Health IT Certification Program to make it open and accessible to more types of health IT and health IT that supports various care and practice settings. The 2015 Edition establishes the capabilities and specifies the related standards and implementation specifications that Certified Electronic Health Record Technology (CEHRT) would need to include to, at a minimum, support the achievement of meaningful use by eligible professionals (EPs), eligible hospitals, and critical access hospitals (CAHs) under the Medicare and Medicaid EHR Incentive Programs (EHR Incentive Programs) when such edition is required for use under these programs.

Adoptive parenting and attachment: association of the Internal Working Models between adoptive mothers and their late-adopted children during adolescence

Directory of Open Access Journals (Sweden)

Cecilia Serena ePace

2015-09-01

Full Text Available Introduction. Recent literature has shown that the good outcome of adoption would mostly depend on the quality of adoptive parenting, which is strongly associated with the security of parental internal working models (IWMs of attachment. Specifically, attachment states-of-mind of adoptive mothers classified as free and autonomous and without lack of resolution of loss or trauma could represent a good protective factor for adopted children previously maltreated and neglected. While most research on adoptive families has focused on pre-school and school-aged children, the aim of this study was to assess the concordance of IWMs of attachment in adoptive dyads during adolescence.Method. Our pilot-study involved 76 participants: 30 adoptive mothers (mean age=51.5±4.3, and their 46 late-adopted adolescents (mean age = 13.9 ± 1.6, who were all aged four to nine years old at time of adoption (M = 6.3 ± 1.5. Attachment representations of adopted adolescents were assessed by the Friend and Family Interview (FFI, while adoptive mothers’ state-of-mind with respect to attachment was classified by the Adult Attachment Interview (AAI. Adolescents’ verbal intelligence was controlled.Results. Late-adopted adolescents were classified as follows: 67% secure, 26% dismissing and 7% preoccupied in the FFI, while their adoptive mothers’ AAI classifications were 70% free-autonomous, 7% dismissing, and 23% unresolved. We found a significant concordance of 70% (32 dyads between the secure-insecure FFI and AAI classifications. Specifically adoptive mothers with high coherence of transcript and low unresolved loss tend to have late-adopted children with high secure attachment, even if the adolescents’ verbal intelligence made a significant contribution to this prediction.Discussion. Our results provides an empirical contribution to the literature concerning the concordance of attachment in adoptive dyads, highlighting the beneficial impact of highly coherent

Understanding Providers' Interaction with Graphical User Interface Pertaining to Clinical Document Usage in an Electronic Health Record System

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Rizvi, Rubina Fatima

2017-01-01

Despite high Electronic Health Record (EHR) system adoption rates by hospital and office-based practices, many users remain highly dissatisfied with the current state of EHRs. Sub-optimal EHR usability as a result of insufficient incorporation of User-Centered Design (UCD) approach during System Development Life Cycle process (SDLC) is considered…

The Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures Project: Rationale and Approach.

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MacLean, Paul S; Rothman, Alexander J; Nicastro, Holly L; Czajkowski, Susan M; Agurs-Collins, Tanya; Rice, Elise L; Courcoulas, Anita P; Ryan, Donna H; Bessesen, Daniel H; Loria, Catherine M

2018-04-01

Individual variability in response to multiple modalities of obesity treatment is well documented, yet our understanding of why some individuals respond while others do not is limited. The etiology of this variability is multifactorial; however, at present, we lack a comprehensive evidence base to identify which factors or combination of factors influence treatment response. This paper provides an overview and rationale of the Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core Measures Project, which aims to advance the understanding of individual variability in response to adult obesity treatment. This project provides an integrated model for how factors in the behavioral, biological, environmental, and psychosocial domains may influence obesity treatment responses and identify a core set of measures to be used consistently across adult weight-loss trials. This paper provides the foundation for four companion papers that describe the core measures in detail. The accumulation of data on factors across the four ADOPT domains can inform the design and delivery of effective, tailored obesity treatments. ADOPT provides a framework for how obesity researchers can collectively generate this evidence base and is a first step in an ongoing process that can be refined as the science advances. © 2018 The Obesity Society.

Telemedicine and EHR Integrated Approach for An Effective E-Governance Healthcare Framework

Directory of Open Access Journals (Sweden)

Alpana Kakkar

2017-05-01

Full Text Available In the recent years, people have been more inclined towards the use of technology to reduce human effort. Telemedicine is one such concept which has gained popularity among the people, providing them easy access to health care. Telemedicine refers to the concept of providing health care from a distance through an integrated approach using information and communication technology (ICT. India, being a geographically wide country has its difficulties when it comes to providing health care facilities to people belonging to the different regions. This is one of the few reasons why India is the best stage to introduce a concept like telemedicine. The use of this technology to counter the various challenges has been highly regarded and termed as something which can revolutionize the medical field. Integrating telemedicine with electronic health record (EHR, which is a digital document of a person’s medical history is said to be a perfect combination which can help improve clinical efficiency. The country has seen initiatives taken up by various organizations, with the main motive of connecting the rural to the urban. Through this paper, we have discussed the potential we have with this technology, and also propose an EHR integrated telemedicine model to make the best use of it in an emergency healthcare situation to help save lives. We have also touched a few factors which can help the government better the current health scenario.

Readmission prediction via deep contextual embedding of clinical concepts.

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Xiao, Cao; Ma, Tengfei; Dieng, Adji B; Blei, David M; Wang, Fei

2018-01-01

Hospital readmission costs a lot of money every year. Many hospital readmissions are avoidable, and excessive hospital readmissions could also be harmful to the patients. Accurate prediction of hospital readmission can effectively help reduce the readmission risk. However, the complex relationship between readmission and potential risk factors makes readmission prediction a difficult task. The main goal of this paper is to explore deep learning models to distill such complex relationships and make accurate predictions. We propose CONTENT, a deep model that predicts hospital readmissions via learning interpretable patient representations by capturing both local and global contexts from patient Electronic Health Records (EHR) through a hybrid Topic Recurrent Neural Network (TopicRNN) model. The experiment was conducted using the EHR of a real world Congestive Heart Failure (CHF) cohort of 5,393 patients. The proposed model outperforms state-of-the-art methods in readmission prediction (e.g. 0.6103 ± 0.0130 vs. second best 0.5998 ± 0.0124 in terms of ROC-AUC). The derived patient representations were further utilized for patient phenotyping. The learned phenotypes provide more precise understanding of readmission risks. Embedding both local and global context in patient representation not only improves prediction performance, but also brings interpretable insights of understanding readmission risks for heterogeneous chronic clinical conditions. This is the first of its kind model that integrates the power of both conventional deep neural network and the probabilistic generative models for highly interpretable deep patient representation learning. Experimental results and case studies demonstrate the improved performance and interpretability of the model.

Adoptive parenting and attachment: association of the internal working models between adoptive mothers and their late-adopted children during adolescence.

Science.gov (United States)

Pace, Cecilia S; Di Folco, Simona; Guerriero, Viviana; Santona, Alessandra; Terrone, Grazia

2015-01-01

Recent literature has shown that the good outcome of adoption would mostly depend on the quality of adoptive parenting, which is strongly associated with the security of parental internal working models (IWMs) of attachment. Specifically, attachment states-of-mind of adoptive mothers classified as free and autonomous and without lack of resolution of loss or trauma could represent a good protective factor for adopted children, previously maltreated and neglected. While most research on adoptive families focused on pre-school and school-aged children, the aim of this study was to assess the concordance of IWMs of attachment in adoptive dyads during adolescence. Our pilot-study involved 76 participants: 30 adoptive mothers (mean age = 51.5 ± 4.3), and their 46 late-adopted adolescents (mean age = 13.9 ± 1.6), who were all aged 4-9 years old at time of adoption (mean age = 6.3 ± 1.5). Attachment representations of adopted adolescents were assessed by the Friend and Family Interview (FFI), while adoptive mothers' state-of-mind with respect to attachment was classified by the Adult Attachment Interview (AAI). Adolescents' verbal intelligence was controlled for. Late-adopted adolescents were classified as follows: 67% secure, 26% dismissing, and 7% preoccupied in the FFI, while their adoptive mothers' AAI classifications were 70% free-autonomous, 7% dismissing, and 23% unresolved. We found a significant concordance of 70% (32 dyads) between the secure-insecure FFI and AAI classifications. Specifically adoptive mothers with high coherence of transcript and low unresolved loss tend to have late-adopted children with high secure attachment, even if the adolescents' verbal intelligence made a significant contribution to this prediction. Our results provides an empirical contribution to the literature concerning the concordance of attachment in adoptive dyads, highlighting the beneficial impact of highly coherent states-of-mind of adoptive mothers on the attachment

Random or predictable?: Adoption patterns of chronic care management practices in physician organizations.

Science.gov (United States)

Miake-Lye, Isomi M; Chuang, Emmeline; Rodriguez, Hector P; Kominski, Gerald F; Yano, Elizabeth M; Shortell, Stephen M

2017-08-24

Theories, models, and frameworks used by implementation science, including Diffusion of Innovations, tend to focus on the adoption of one innovation, when often organizations may be facing multiple simultaneous adoption decisions. For instance, despite evidence that care management practices (CMPs) are helpful in managing chronic illness, there is still uneven adoption by physician organizations. This exploratory paper leverages this natural variation in uptake to describe inter-organizational patterns in adoption of CMPs and to better understand how adoption choices may be related to one another. We assessed a cross section of national survey data from physician organizations reporting on the use of 20 CMPs (5 each for asthma, congestive heart failure, depression, and diabetes). Item response theory was used to explore patterns in adoption, first considering all 20 CMPs together and then by subsets according to disease focus or CMP type (e.g., registries, patient reminders). Mokken scale analysis explored whether adoption choices were linked by disease focus or CMP type and whether a consistent ordering of adoption choices was present. The Mokken scale for all 20 CMPs demonstrated medium scalability (H = 0.43), but no consistent ordering. Scales for subsets of CMPs sharing a disease focus had medium scalability (0.4  0.5). Scales for CMP type consistently ranked diabetes CMPs as most adoptable and depression CMPs as least adoptable. Within disease focus scales, patient reminders were ranked as the most adoptable CMP, while clinician feedback and patient education were ranked the least adoptable. Patterns of adoption indicate that innovation characteristics may influence adoption. CMP dissemination efforts may be strengthened by encouraging traditionally non-adopting organizations to focus on more adoptable practices first and then describing a pathway for the adoption of subsequent CMPs. Clarifying why certain CMPs are "less adoptable" may also provide

[Overview of the US policies for health information technology and lessons learned for Israel].

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Topaz, Maxim; Ash, Nachman

2013-05-01

The heaLthcare system in the United States (U.S.) faces a number of significant changes aimed at improving the quality and availability of medical services and reducing costs. Implementation of health information technologies, especiaLly ELectronic Health Records (EHR), is central to achieving these goals. Several recent Legislative efforts in the U.S. aim at defining standards and promoting wide scale "Meaningful Use" of the novel technologies. In Israel, the majority of heaLthcare providers adopted EHR throughout the Last decade. Unlike the U.S., the process of EHR adoption occurred spontaneously, without governmental control or the definition of standards. In this article, we review the U.S. health information technology policies and standards and suggest potential lessons Learned for Israel. First, we present the three-staged Meaningful Use regulations that require eligible healthcare practitioners to use EHR in their practice. We also describe the standards for EHR certification and national efforts to create interoperable health information technology networks. Finally, we provide a brief overview of the IsraeLi regulation in the field of EHR. Although the adoption of health information technology is wider in Israel, the Lack of technology standards and governmental control has Led to Large technology gaps between providers. The example of the U.S. Legislation urges the adoption of several critical steps to further enhance the quality and efficiency of the Israeli healthcare system, in particular: strengthening health information technology regulation; developing Licensure criteria for health information technology; bridging the digital gap between healthcare organizations; defining quality measures; and improving the accessibility of health information for patients.

Accumulating Data to Optimally Predict Obesity Treatment (ADOPT): Recommendations from the Biological Domain.

Science.gov (United States)

Rosenbaum, Michael; Agurs-Collins, Tanya; Bray, Molly S; Hall, Kevin D; Hopkins, Mark; Laughlin, Maren; MacLean, Paul S; Maruvada, Padma; Savage, Cary R; Small, Dana M; Stoeckel, Luke

2018-04-01

The responses to behavioral, pharmacological, or surgical obesity treatments are highly individualized. The Accumulating Data to Optimally Predict obesity Treatment (ADOPT) project provides a framework for how obesity researchers, working collectively, can generate the evidence base needed to guide the development of tailored, and potentially more effective, strategies for obesity treatment. The objective of the ADOPT biological domain subgroup is to create a list of high-priority biological measures for weight-loss studies that will advance the understanding of individual variability in response to adult obesity treatments. This list includes measures of body composition, energy homeostasis (energy intake and output), brain structure and function, and biomarkers, as well as biobanking procedures, which could feasibly be included in most, if not all, studies of obesity treatment. The recommended high-priority measures are selected to balance needs for sensitivity, specificity, and/or comprehensiveness with feasibility to achieve a commonality of usage and increase the breadth and impact of obesity research. The accumulation of data on key biological factors, along with behavioral, psychosocial, and environmental factors, can generate a more precise description of the interplay and synergy among them and their impact on treatment responses, which can ultimately inform the design and delivery of effective, tailored obesity treatments. © 2018 The Obesity Society.

Meaningful Use of School Health Data

Science.gov (United States)

Johnson, Kathleen Hoy; Bergren, Martha Dewey

2011-01-01

Meaningful use (MU) of Electronic Health Records (EHRs) is an important development in the safety and security of health care delivery in the United States. Advancement in the use of EHRs occurred with the passage of the American Recovery and Reinvestment Act of 2009, which provides incentives for providers to support adoption and use of EHRs.…

Development of the quality assessment model of EHR software in family medicine practices: research based on user satisfaction

Directory of Open Access Journals (Sweden)

Damir Kralj

2015-09-01

Full Text Available Background Family medicine practices (FMPs make the basis for the Croatian health care system. Use of electronic health record (EHR software is mandatory and it plays an important role in running these practices, but important functional features still remain uneven and largely left to the will of the software developers.Objective The objective of this study was to develop a novel and comprehensive model for functional evaluation of the EHR software in FMPs, based on current world standards, models and projects, as well as on actual user satisfaction and requirements.Methods Based on previous theoretical and experimental research in this area, we made the initial framework model consisting of six basic categories as a base for online survey questionnaire. Family doctors assessed perceived software quality by using a five-point Likert-type scale. Using exploratory factor analysis and appropriate statistical methods over the collected data, the final optimal structure of the novel model was formed. Special attention was focused on the validity and quality of the novel model.Results The online survey collected a total of 384 cases. The obtained results indicate both the quality of the assessed software and the quality in use of the novel model. The intense ergonomic orientation of the novel measurement model was particularly emphasised.Conclusions The resulting novel model is multiple validated, comprehensive and universal. It could be used to assess the user-perceived quality of almost all forms of the ambulatory EHR software and therefore useful to all stakeholders in this area of the health care informatisation. 

Development of the quality assessment model of EHR software in family medicine practices: research based on user satisfaction.

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Kralj, Damir; Kern, Josipa; Tonkovic, Stanko; Koncar, Miroslav

2015-09-09

Family medicine practices (FMPs) make the basis for the Croatian health care system. Use of electronic health record (EHR) software is mandatory and it plays an important role in running these practices, but important functional features still remain uneven and largely left to the will of the software developers. The objective of this study was to develop a novel and comprehensive model for functional evaluation of the EHR software in FMPs, based on current world standards, models and projects, as well as on actual user satisfaction and requirements. Based on previous theoretical and experimental research in this area, we made the initial framework model consisting of six basic categories as a base for online survey questionnaire. Family doctors assessed perceived software quality by using a five-point Likert-type scale. Using exploratory factor analysis and appropriate statistical methods over the collected data, the final optimal structure of the novel model was formed. Special attention was focused on the validity and quality of the novel model. The online survey collected a total of 384 cases. The obtained results indicate both the quality of the assessed software and the quality in use of the novel model. The intense ergonomic orientation of the novel measurement model was particularly emphasised. The resulting novel model is multiple validated, comprehensive and universal. It could be used to assess the user-perceived quality of almost all forms of the ambulatory EHR software and therefore useful to all stakeholders in this area of the health care informatisation.

Preventing patient absenteeism: validation of a predictive overbooking model.

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Reid, Mark W; Cohen, Samuel; Wang, Hank; Kaung, Aung; Patel, Anish; Tashjian, Vartan; Williams, Demetrius L; Martinez, Bibiana; Spiegel, Brennan M R

2015-12-01

To develop a model that identifies patients at high risk for missing scheduled appointments ("no-shows" and cancellations) and to project the impact of predictive overbooking in a gastrointestinal endoscopy clinic-an exemplar resource-intensive environment with a high no-show rate. We retrospectively developed an algorithm that uses electronic health record (EHR) data to identify patients who do not show up to their appointments. Next, we prospectively validated the algorithm at a Veterans Administration healthcare network clinic. We constructed a multivariable logistic regression model that assigned a no-show risk score optimized by receiver operating characteristic curve analysis. Based on these scores, we created a calendar of projected open slots to offer to patients and compared the daily performance of predictive overbooking with fixed overbooking and typical "1 patient, 1 slot" scheduling. Data from 1392 patients identified several predictors of no-show, including previous absenteeism, comorbid disease burden, and current diagnoses of mood and substance use disorders. The model correctly classified most patients during the development (area under the curve [AUC] = 0.80) and validation phases (AUC = 0.75). Prospective testing in 1197 patients found that predictive overbooking averaged 0.51 unused appointments per day versus 6.18 for typical booking (difference = -5.67; 95% CI, -6.48 to -4.87; P < .0001). Predictive overbooking could have increased service utilization from 62% to 97% of capacity, with only rare clinic overflows. Information from EHRs can accurately predict whether patients will no-show. This method can be used to overbook appointments, thereby maximizing service utilization while staying within clinic capacity.

East Meets West: Adopted Chinese Girls' Nighttime Sleep Problems and Adoptive Parents' Self-Judgment About Parenting.

Science.gov (United States)

Tan, Tony; Mahoney, Emily; Jackson, Andrea; Rice, Jessica

2017-01-01

We investigated the association between adopted Chinese girls' nighttime sleep problems and adoptive parents' self-judgment about their parenting. The girls were 1.7-6.9 years old (M = 4.6 years, SD = 1.0) and were adopted at 7-56 months (M = 13.9 months, SD = 6.6) by families in North America. At Wave 2 of a longitudinal study on adopted Chinese children's development, the adoptive parents provided survey data on bedtime resistance or anxiety and parasomnias in their daughters and their own parental sense of entitlement and parenting competence. Results showed that controlling for child and family demographics, parasomnias, but not bedtime resistance or anxiety, negatively predicted parental sense of entitlement (B = -.13, p parenting competence (B = -.14, p < .01).

Constructive eHealth evaluation: lessons from evaluation of EHR development in 4 Danish hospitals.

Science.gov (United States)

Høstgaard, Anna Marie Balling; Bertelsen, Pernille; Nøhr, Christian

2017-04-20

Information and communication sources in the healthcare sector are replaced with new eHealth technologies. This has led to problems arising from the lack of awareness of the importance of end-user involvement in eHealth development and of the difficulties caused by using traditional summative evaluation methods. The Constructive eHealth evaluation method (CeHEM) provides a solution to these problems by offering an evaluation framework for supporting and facilitating end-user involvement during all phases of eHealth development. The aim of this paper is to support this process by sharing experiences of the eHealth evaluation method used in the introduction of electronic health records (EHR) in the North Denmark Region of Denmark. It is the first time the fully developed method and the experiences on using the CeHEM in all five phases of a full lifecycle framework is presented. A case study evaluation of the EHR development process in the North Denmark Region was conducted from 2004 to 2010. The population consisted of clinicians, IT professionals, administrators, and vendors. The study involved 4 hospitals in the region. Data were collected using questionnaires, observations, interviews, and insight gathered from relevant documents. The evaluation showed a need for a) Early involvement of clinicians, b) The best possible representation of clinicians, and c) Workload reduction for those involved. The consequences of not providing this were a lack of ownership of decisions and negative attitudes towards the clinical benefits related to these decisions. Further, the result disclosed that by following the above recommendations, and by providing feedback to the 4 actor groups, the physicians' involvement was improved. As a result they took ownership of decisions and gained a positive attitude to the clinical benefits. The CeHEM has proven successful in formative evaluation of EHR development and can point at important issues that need to be taken care of by management

Explaining the Variation in Adoption Rates of the Information Content of Environmental Disclosure

DEFF Research Database (Denmark)

Fallan, Even

2015-01-01

of content, and whether innovation adoption theory might represent important factors of this decision-making process. Design/methodology/approach: - Actual adoption rates of 13 information content categories are computed using content analysis of annual reports for 62 listed companies. Each content category......Purpose: - Corporate management decides what types of environmental information content to disclose/adopt. It is explored whether internal context - decision-makers’ perception of characteristics of the information content - might predict the variation in adoption rates of different types...... is seen as an innovation the company decides to adopt or not. Interviews with management in several companies illustrate the decision process of disclosure, and help predict adoption rates. Predicted and actual adoption rates are compared. Findings: - Adoption rates vary considerably among the 13 types...

Racial and Ethnic Socialization as Moderators of Racial Discrimination and School Adjustment of Adopted and Non-adopted Korean American Adolescents

Science.gov (United States)

Seol, Kyoung Ok; Yoo, Hyung Chol; Lee, Richard M.; Park, Ji Eun; Kyeong, Yena

2015-01-01

This study investigated roles of racial and ethnic socialization in the link between racial discrimination and school adjustment among a sample of 233 adopted Korean American adolescents from White adoptive families and 155 non-adopted Korean American adolescents from immigrant Korean families. Adopted Korean American adolescents reported lower levels of racial discrimination, racial socialization, and ethnic socialization than non-adopted Korean American adolescents. However, racial discrimination was negatively related to school belonging and school engagement, and ethnic socialization was positively related to school engagement for both groups. Racial socialization also had a curvilinear relationship with school engagement for both groups. Moderate level of racial socialization predicted positive school engagement, whereas low and high levels of racial socialization predicted negative school engagement. Finally, ethnic socialization moderated the link between racial discrimination and school belonging, which differed between groups. In particular, ethnic socialization exacerbated the relations between racial discrimination and school belonging for adopted Korean American adolescents, whereas, ethnic socialization buffered this link for non-adopted Korean American adolescents. Findings illustrate the complex relationship between racial and ethnic socialization, racial discrimination, and school adjustment. PMID:26479418

Predicting early adoption of successive video player generations

NARCIS (Netherlands)

Rijnsoever, F.J. van; Oppewal, H.

2012-01-01

Early adopters play an important role in the innovation diffusion process. Over the past decades, many factors have been identified as predictors for earlyadoption of innovations. Less attention has been paid to the relationship between the earlyadoption of one generation of a specific product and

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases.

Science.gov (United States)

Sánchez-de-Madariaga, Ricardo; Muñoz, Adolfo; Castro, Antonio L; Moreno, Oscar; Pascual, Mario

2018-03-19

This research shows a protocol to assess the computational complexity of querying relational and non-relational (NoSQL (not only Structured Query Language)) standardized electronic health record (EHR) medical information database systems (DBMS). It uses a set of three doubling-sized databases, i.e. databases storing 5000, 10,000 and 20,000 realistic standardized EHR extracts, in three different database management systems (DBMS): relational MySQL object-relational mapping (ORM), document-based NoSQL MongoDB, and native extensible markup language (XML) NoSQL eXist. The average response times to six complexity-increasing queries were computed, and the results showed a linear behavior in the NoSQL cases. In the NoSQL field, MongoDB presents a much flatter linear slope than eXist. NoSQL systems may also be more appropriate to maintain standardized medical information systems due to the special nature of the updating policies of medical information, which should not affect the consistency and efficiency of the data stored in NoSQL databases. One limitation of this protocol is the lack of direct results of improved relational systems such as archetype relational mapping (ARM) with the same data. However, the interpolation of doubling-size database results to those presented in the literature and other published results suggests that NoSQL systems might be more appropriate in many specific scenarios and problems to be solved. For example, NoSQL may be appropriate for document-based tasks such as EHR extracts used in clinical practice, or edition and visualization, or situations where the aim is not only to query medical information, but also to restore the EHR in exactly its original form.

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Science.gov (United States)

Sánchez-de-Madariaga, Ricardo; Muñoz, Adolfo; Castro, Antonio L; Moreno, Oscar; Pascual, Mario

2018-01-01

This research shows a protocol to assess the computational complexity of querying relational and non-relational (NoSQL (not only Structured Query Language)) standardized electronic health record (EHR) medical information database systems (DBMS). It uses a set of three doubling-sized databases, i.e. databases storing 5000, 10,000 and 20,000 realistic standardized EHR extracts, in three different database management systems (DBMS): relational MySQL object-relational mapping (ORM), document-based NoSQL MongoDB, and native extensible markup language (XML) NoSQL eXist. The average response times to six complexity-increasing queries were computed, and the results showed a linear behavior in the NoSQL cases. In the NoSQL field, MongoDB presents a much flatter linear slope than eXist. NoSQL systems may also be more appropriate to maintain standardized medical information systems due to the special nature of the updating policies of medical information, which should not affect the consistency and efficiency of the data stored in NoSQL databases. One limitation of this protocol is the lack of direct results of improved relational systems such as archetype relational mapping (ARM) with the same data. However, the interpolation of doubling-size database results to those presented in the literature and other published results suggests that NoSQL systems might be more appropriate in many specific scenarios and problems to be solved. For example, NoSQL may be appropriate for document-based tasks such as EHR extracts used in clinical practice, or edition and visualization, or situations where the aim is not only to query medical information, but also to restore the EHR in exactly its original form. PMID:29608174

Adoption of communication technologies and national culture

NARCIS (Netherlands)

Hofstede, G.J.

2001-01-01

This paper investigates the question what attributes of countries influence the differential speed at which they adopt new communication technologies. On the basis of empirical data, it concludes that besides GNP per capita, cultural variables predict the speed of technology adoption. In particular,

Evaluating the adoption of an Electronic Patient Medicine module in health care

DEFF Research Database (Denmark)

Jensen, Tina Blegind; Andersen, Povl Erik Rostgård

, and care of patients. One of the modules of the EHR system is the Electronic Patient Medicine (EPM) module which is considered an important means for reducing medical errors. In the literature, focus is primarily on those medical errors that are reduced when introducing EPM modules, whereas there is scarce......Introduction: In recent years, there has been an increased demand to exploit the possibilities of Information Technology (IT) in health care. In many hospitals, focus is on Electronic Health care Records (EHRs) which are depicted as central technologies in supporting the examination, treatment...

The Role of Technical Advances in the Adoption and Integration of Patient-Reported Outcomes in Clinical Care

Science.gov (United States)

Jensen, Roxanne E.; Rothrock, Nan E.; DeWitt, Esi Morgan; Spiegel, Brennan; Tucker, Carole A.; Crane, Heidi M.; Forrest, Christopher B.; Patrick, Donald L.; Fredericksen, Rob; Shulman, Lisa M.; Cella, David; Crane, Paul K.

2016-01-01

Background Patient-reported outcomes (PROs) are gaining recognition as key measures for improving the quality of patient care in clinical care settings. Three factors have made the implementation of PROs in clinical care more feasible: increased use of modern measurement methods in PRO design and validation, rapid progression of technology (e.g., touch screen tablets, Internet accessibility, and electronic health records (EHRs)), and greater demand for measurement and monitoring of PROs by regulators, payers, accreditors, and professional organizations. As electronic PRO collection and reporting capabilities have improved, the challenges of collecting PRO data have changed. Objectives To update information on PRO adoption considerations in clinical care, highlighting electronic and technical advances with respect to measure selection, clinical workflow, data infrastructure, and outcomes reporting. Methods Five practical case studies across diverse healthcare settings and patient populations are used to explore how implementation barriers were addressed to promote the successful integration of PRO collection into the clinical workflow. The case studies address selecting and reporting of relevant content, workflow integration, pre-visit screening, effective evaluation, and EHR integration. Conclusions These case studies exemplify elements of well-designed electronic systems, including response automation, tailoring of item selection and reporting algorithms, flexibility of collection location, and integration with patient health care data elements. They also highlight emerging logistical barriers in this area, such as the need for specialized technological and methodological expertise, and design limitations of current electronic data capture systems. PMID:25588135

PARAMO: a PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records.

Science.gov (United States)

Ng, Kenney; Ghoting, Amol; Steinhubl, Steven R; Stewart, Walter F; Malin, Bradley; Sun, Jimeng

2014-04-01

Healthcare analytics research increasingly involves the construction of predictive models for disease targets across varying patient cohorts using electronic health records (EHRs). To facilitate this process, it is critical to support a pipeline of tasks: (1) cohort construction, (2) feature construction, (3) cross-validation, (4) feature selection, and (5) classification. To develop an appropriate model, it is necessary to compare and refine models derived from a diversity of cohorts, patient-specific features, and statistical frameworks. The goal of this work is to develop and evaluate a predictive modeling platform that can be used to simplify and expedite this process for health data. To support this goal, we developed a PARAllel predictive MOdeling (PARAMO) platform which (1) constructs a dependency graph of tasks from specifications of predictive modeling pipelines, (2) schedules the tasks in a topological ordering of the graph, and (3) executes those tasks in parallel. We implemented this platform using Map-Reduce to enable independent tasks to run in parallel in a cluster computing environment. Different task scheduling preferences are also supported. We assess the performance of PARAMO on various workloads using three datasets derived from the EHR systems in place at Geisinger Health System and Vanderbilt University Medical Center and an anonymous longitudinal claims database. We demonstrate significant gains in computational efficiency against a standard approach. In particular, PARAMO can build 800 different models on a 300,000 patient data set in 3h in parallel compared to 9days if running sequentially. This work demonstrates that an efficient parallel predictive modeling platform can be developed for EHR data. This platform can facilitate large-scale modeling endeavors and speed-up the research workflow and reuse of health information. This platform is only a first step and provides the foundation for our ultimate goal of building analytic pipelines

Health Reform in Minnesota: An Analysis of Complementary Initiatives Implementing Electronic Health Record Technology and Care Coordination.

Science.gov (United States)

Soderberg, Karen; Rajamani, Sripriya; Wholey, Douglas; LaVenture, Martin

2016-01-01

Minnesota enacted legislation in 2007 that requires all health care providers in the state to implement an interoperable electronic health record (EHR) system by 2015. 100% of hospitals and 98% of clinics had adopted EHR systems by end of 2015. Minnesota's 2008 health reform included a health care home (HCH) program, Minnesota's patient centered medical home. By end of 2014, 43% of HCH eligible clinics were certified with 335 certified HCHs and 430 eligible but not certified clinics. To study the association between adoption and use of EHRs in primary care clinics and HCH certification, including use of clinical decision support tools, patient registries, electronic exchange of patient information, and availability of patient portals. Study utilized data from the 2015 Minnesota Health Information Technology Clinic Survey conducted annually by the Minnesota Department of Health. The response rate was 80% with 1,181 of 1,473 Minnesota clinics, including 662 HCH eligible primary care clinics. The comparative analysis focused on certified HCHs (311) and eligible but not certified clinics (351). HCH clinics utilized the various tools of EHR technology at a higher rate than non-HCH clinics. This greater utilization was noted across a range of functionalities: clinical decision support, patient disease registries, EHR to support quality improvement, electronic exchange of summary care records and availability of patient portals. HCH certification was significant for clinical decision support tools, registries and quality improvement. HCH requirements of care management, care coordination and quality improvement can be better supported with EHR technology, which underscores the higher rate of utilization of EHR tools by HCH clinics. Optimizing electronic exchange of health information remains a challenge for all clinics, including HCH certified clinics. This research presents the synergy between complementary initiatives supporting EHR adoption and HCH certification

Adoptive Family Adjustment and Its Relation to Perceived Family Environment.

Science.gov (United States)

Martin, Betty; Kelly, Mary Margaret; Towner-Thyrum, Elizabeth

1999-01-01

Interviewed adopted college students regarding perceptions of adoptive family life. Found that overall satisfaction with adoptive status and family life was the strongest predictor of perceived general family environment. Perception of adoptive parents' communication styles predicted different aspects of family environment. Acknowledgment of life…

Novos registros do gênero Trachelomonas Ehr. (Euglenophyceae no Parque Estadual Delta do Jacuí e no Rio Grande do Sul, Brasil New records for the genus Trachelomonas Ehr. (Euglenophyceae in Jacuí Delta State Park, Rio Grande do Sul, Brazil

Directory of Open Access Journals (Sweden)

Sandra Maria Alves-da-Silva

2007-06-01

Full Text Available O levantamento do gênero Trachelomonas Ehr. (Euglenophyceae em 26 corpos d´água da área do Parque Estadual Delta do Jacuí, localizado a 29º 56' e 30º 03'S, 5lº l2' e 51º 25'W, resultou no registro de nove novas citações de espécies de Trachelomonas Ehr. para o Estado do Rio Grande do Sul, são elas: Trachelomonas abrupta Swir. emend. Defl. var. obesa (Playf. Defl. T. conica Playf., Trachelomonas duquei Conf. & Nudelman, Trachelomonas megalacantha Cunha var. crenulatocollis Bour. & Manguin, Trachelomonas verrucosa Stockes var. granulosa (Playf. Hub.-Pest., Trachelomonas zingeri Roll, três são ainda novos registros para o país: Trachelomonas cylindraceae f. cylindraceae (Playf. Pop., Trachelomonas helvetica Lemm. emend. Defl. e Trachelomonas splendidissima Middelhoek. São apresentadas descrições, ilustrações, comentários, distribuição geográfica e a amplitude de condições ambientais em que cada táxon foi encontrado.A study of the genus Trachelomonas Ehr. (Euglenophyceae in 26 water bodies at Jacuí Delta State Park near the state capital of Rio Grande do Sul (29º56', 30º03'S; 51º12', 51º18'W revealed nine new records of Trachelomonas species for this state, as follows: Trachelomonas abrupta Swir. emend. Defl. var. obesa (Playf. Defl., T. conica Playf., Trachelomonas duquei Conf. & Nudelman, Trachelomonas megalacantha Cunha var. crenulatocollis Bour. & Manguin, Trachelomonas verrucosa Stockes var. granulosa (Playf. Hub.-Pest., Trachelomonas zingeri Roll; three are new records for Brazil: Trachelomonas cylindraceae f. cylindraceae (Playf. Pop., Trachelomonas helvetica Lemm. emend. Defl. and Trachelomonas splendidissima Middelhoek. Descriptions, illustrations, comments, geographic distribution and the range of environmental conditions in which each taxon was found are presented.

Organizational adoption of preemployment drug testing.

Science.gov (United States)

Spell, C S; Blum, T C

2001-04-01

This study explored the adoption of preemployment drug testing by 360 organizations. Survival models were developed that included internal organizational and labor market factors hypothesized to affect the likelihood of adoption of drug testing. Also considered was another set of variables that included social and political variables based on institutional theory. An event history analysis using Cox regressions indicated that both internal organizational and environmental variables predicted adoption of drug testing. Results indicate that the higher the proportion of drug testers in the worksite's industry, the more likely it would be to adopt drug testing. Also, the extent to which an organization uses an internal labor market, voluntary turnover rate, and the extent to which management perceives drugs to be a problem were related to likelihood of adoption of drug testing.

Nursing Student Experiences Regarding Safe Use of Electronic Health Records: A Pilot Study of the Safety and Assurance Factors for EHR Resilience Guides.

Science.gov (United States)

Whitt, Karen J; Eden, Lacey; Merrill, Katreena Collette; Hughes, Mckenna

2017-01-01

Previous research has linked improper electronic health record configuration and use with adverse patient events. In response to this problem, the US Office of the National Coordinator for Health Information Technology developed the Safety and Assurance Factors for EHR Resilience guides to evaluate electronic health records for optimal use and safety features. During the course of their education, nursing students are exposed to a variety of clinical practice settings and electronic health records. This descriptive study evaluated 108 undergraduate and 51 graduate nursing students' ratings of electronic health record features and safe practices, as well as what they learned from utilizing the computerized provider order entry and clinician communication Safety and Assurance Factors for EHR Resilience guide checklists. More than 80% of the undergraduate and 70% of the graduate students reported that they experienced user problems with electronic health records in the past. More than 50% of the students felt that electronic health records contribute to adverse patient outcomes. Students reported that many of the features assessed were not fully implemented in their electronic health record. These findings highlight areas where electronic health records can be improved to optimize patient safety. The majority of students reported that utilizing the Safety and Assurance Factors for EHR Resilience guides increased their understanding of electronic health record features.

Electronic health systems: challenges faced by hospital-based providers.

Science.gov (United States)

Agno, Christina Farala; Guo, Kristina L

2013-01-01

The purpose of this article is to discuss specific challenges faced by hospitals adopting the use of electronic medical records and implementing electronic health record (EHR) systems. Challenges include user and information technology support; ease of technical use and software interface capabilities; compliance; and financial, legal, workforce training, and development issues. Electronic health records are essential to preventing medical errors, increasing consumer trust and use of the health system, and improving quality and overall efficiency. Government efforts are focused on ways to accelerate the adoption and use of EHRs as a means of facilitating data sharing, protecting health information privacy and security, quickly identifying emerging public health threats, and reducing medical errors and health care costs and increasing quality of care. This article will discuss physician and nonphysician staff training before, during, and after implementation; the effective use of EHR systems' technical features; the selection of a capable and secure EHR system; and the development of collaborative system implementation. Strategies that are necessary to help health care providers achieve successful implementation of EHR systems will be addressed.

Bridging the gap between clinical practice and public health: Using EHR data to assess trends in the seasonality of blood-pressure control

Directory of Open Access Journals (Sweden)

Aurora O. Amoah

2017-06-01

Our findings identified cyclic trends in BP control and highlighted greater association with increased proportion of diabetic patients, therefore confirming the ability of the EHR as a tool for measuring population health outcomes.

Implementation of a scalable, web-based, automated clinical decision support risk-prediction tool for chronic kidney disease using C-CDA and application programming interfaces.

Science.gov (United States)

Samal, Lipika; D'Amore, John D; Bates, David W; Wright, Adam

2017-11-01

Clinical decision support tools for risk prediction are readily available, but typically require workflow interruptions and manual data entry so are rarely used. Due to new data interoperability standards for electronic health records (EHRs), other options are available. As a clinical case study, we sought to build a scalable, web-based system that would automate calculation of kidney failure risk and display clinical decision support to users in primary care practices. We developed a single-page application, web server, database, and application programming interface to calculate and display kidney failure risk. Data were extracted from the EHR using the Consolidated Clinical Document Architecture interoperability standard for Continuity of Care Documents (CCDs). EHR users were presented with a noninterruptive alert on the patient's summary screen and a hyperlink to details and recommendations provided through a web application. Clinic schedules and CCDs were retrieved using existing application programming interfaces to the EHR, and we provided a clinical decision support hyperlink to the EHR as a service. We debugged a series of terminology and technical issues. The application was validated with data from 255 patients and subsequently deployed to 10 primary care clinics where, over the course of 1 year, 569 533 CCD documents were processed. We validated the use of interoperable documents and open-source components to develop a low-cost tool for automated clinical decision support. Since Consolidated Clinical Document Architecture-based data extraction extends to any certified EHR, this demonstrates a successful modular approach to clinical decision support. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association.

The ADOPT-LC score: a novel predictive index of in-hospital mortality of cirrhotic patients following surgical procedures, based on a national survey.

Science.gov (United States)

Sato, Masaya; Tateishi, Ryosuke; Yasunaga, Hideo; Horiguchi, Hiromasa; Matsui, Hiroki; Yoshida, Haruhiko; Fushimi, Kiyohide; Koike, Kazuhiko

2017-03-01

We aimed to develop a model for predicting in-hospital mortality of cirrhotic patients following major surgical procedures using a large sample of patients derived from a Japanese nationwide administrative database. We enrolled 2197 cirrhotic patients who underwent elective (n = 1973) or emergency (n = 224) surgery. We analyzed the risk factors for postoperative mortality and established a scoring system for predicting postoperative mortality in cirrhotic patients using a split-sample method. In-hospital mortality rates following elective or emergency surgery were 4.7% and 20.5%, respectively. In multivariate analysis, patient age, Child-Pugh (CP) class, Charlson Comorbidity Index (CCI), and duration of anesthesia in elective surgery were significantly associated with in-hospital mortality. In emergency surgery, CP class and duration of anesthesia were significant factors. Based on multivariate analysis in the training set (n = 987), the Adequate Operative Treatment for Liver Cirrhosis (ADOPT-LC) score that used patient age, CP class, CCI, and duration of anesthesia to predict in-hospital mortality following elective surgery was developed. This scoring system was validated in the testing set (n = 986) and produced an area under the curve of 0.881. We also developed iOS/Android apps to calculate ADOPT-LC scores to allow easy access to the current evidence in daily clinical practice. Patient age, CP class, CCI, and duration of anesthesia were identified as important risk factors for predicting postoperative mortality in cirrhotic patients. The ADOPT-LC score effectively predicts in-hospital mortality following elective surgery and may assist decisions regarding surgical procedures in cirrhotic patients based on a quantitative risk assessment. © 2016 The Authors Hepatology Research published by John Wiley & Sons Australia, Ltd on behalf of Japan Society of Hepatology.

Structuring Legacy Pathology Reports by openEHR Archetypes to Enable Semantic Querying.

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Kropf, Stefan; Krücken, Peter; Mueller, Wolf; Denecke, Kerstin

2017-05-18

Clinical information is often stored as free text, e.g. in discharge summaries or pathology reports. These documents are semi-structured using section headers, numbered lists, items and classification strings. However, it is still challenging to retrieve relevant documents since keyword searches applied on complete unstructured documents result in many false positive retrieval results. We are concentrating on the processing of pathology reports as an example for unstructured clinical documents. The objective is to transform reports semi-automatically into an information structure that enables an improved access and retrieval of relevant data. The data is expected to be stored in a standardized, structured way to make it accessible for queries that are applied to specific sections of a document (section-sensitive queries) and for information reuse. Our processing pipeline comprises information modelling, section boundary detection and section-sensitive queries. For enabling a focused search in unstructured data, documents are automatically structured and transformed into a patient information model specified through openEHR archetypes. The resulting XML-based pathology electronic health records (PEHRs) are queried by XQuery and visualized by XSLT in HTML. Pathology reports (PRs) can be reliably structured into sections by a keyword-based approach. The information modelling using openEHR allows saving time in the modelling process since many archetypes can be reused. The resulting standardized, structured PEHRs allow accessing relevant data by retrieving data matching user queries. Mapping unstructured reports into a standardized information model is a practical solution for a better access to data. Archetype-based XML enables section-sensitive retrieval and visualisation by well-established XML techniques. Focussing the retrieval to particular sections has the potential of saving retrieval time and improving the accuracy of the retrieval.

Predicting 30-Day Pneumonia Readmissions Using Electronic Health Record Data.

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Makam, Anil N; Nguyen, Oanh Kieu; Clark, Christopher; Zhang, Song; Xie, Bin; Weinreich, Mark; Mortensen, Eric M; Halm, Ethan A

2017-04-01

Readmissions after hospitalization for pneumonia are common, but the few risk-prediction models have poor to modest predictive ability. Data routinely collected in the electronic health record (EHR) may improve prediction. To develop pneumonia-specific readmission risk-prediction models using EHR data from the first day and from the entire hospital stay ("full stay"). Observational cohort study using stepwise-backward selection and cross-validation. Consecutive pneumonia hospitalizations from 6 diverse hospitals in north Texas from 2009-2010. All-cause nonelective 30-day readmissions, ascertained from 75 regional hospitals. Of 1463 patients, 13.6% were readmitted. The first-day pneumonia-specific model included sociodemographic factors, prior hospitalizations, thrombocytosis, and a modified pneumonia severity index; the full-stay model included disposition status, vital sign instabilities on discharge, and an updated pneumonia severity index calculated using values from the day of discharge as additional predictors. The full-stay pneumonia-specific model outperformed the first-day model (C statistic 0.731 vs 0.695; P = 0.02; net reclassification index = 0.08). Compared to a validated multi-condition readmission model, the Centers for Medicare and Medicaid Services pneumonia model, and 2 commonly used pneumonia severity of illness scores, the full-stay pneumonia-specific model had better discrimination (C statistic range 0.604-0.681; P pneumonia. This approach outperforms a first-day pneumonia-specific model, the Centers for Medicare and Medicaid Services pneumonia model, and 2 commonly used pneumonia severity of illness scores. Journal of Hospital Medicine 2017;12:209-216. © 2017 Society of Hospital Medicine

Introducing the Clean-Tech Adoption Model: A California Case Study

NARCIS (Netherlands)

Bijlveld, P.C. (Paul); Riezebos, P. (Peter); Wierstra, E. (Erik)

2012-01-01

Abstract. The Clean-Tech Adoption Model (C-TAM) explains the adoption process of clean technology. Based on the Unified Theory of Acceptance and Usage of Technology (UTAUT) combined with qualitative research and empirical data gathering, the model predicts adoption based on the perceived quality,

Towards Personalized Medicine: Leveraging Patient Similarity and Drug Similarity Analytics

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Zhang, Ping; Wang, Fei; Hu, Jianying; Sorrentino, Robert

2014-01-01

The rapid adoption of electronic health records (EHR) provides a comprehensive source for exploratory and predictive analytic to support clinical decision-making. In this paper, we investigate how to utilize EHR to tailor treatments to individual patients based on their likelihood to respond to a therapy. We construct a heterogeneous graph which includes two domains (patients and drugs) and encodes three relationships (patient similarity, drug similarity, and patient-drug prior associations). We describe a novel approach for performing a label propagation procedure to spread the label information representing the effectiveness of different drugs for different patients over this heterogeneous graph. The proposed method has been applied on a real-world EHR dataset to help identify personalized treatments for hypercholesterolemia. The experimental results demonstrate the effectiveness of the approach and suggest that the combination of appropriate patient similarity and drug similarity analytics could lead to actionable insights for personalized medicine. Particularly, by leveraging drug similarity in combination with patient similarity, our method could perform well even on new or rarely used drugs for which there are few records of known past performance. PMID:25717413

Detection and characterization of usability problems in structured data entry interfaces in dentistry

NARCIS (Netherlands)

Walji, M.F.; Kalenderian, E.; Tran, D.; Kookal, K.K.; Nguyen, V.; Tokede, O.; White, J.M.; Vaderhobli, R.; Ramoni, R.; Stark, P.C.; Kimmes, N.S.; Schoonheim-Klein, M.E.; Patel, V.L.

2013-01-01

Background Poor usability is one of the major barriers for optimally using electronic health records (EHRs). Dentists are increasingly adopting EHRs, and are using structured data entry interfaces to enter data such that the data can be easily retrieved and exchanged. Until recently, dentists have

-Omic and Electronic Health Record Big Data Analytics for Precision Medicine.

Science.gov (United States)

Wu, Po-Yen; Cheng, Chih-Wen; Kaddi, Chanchala D; Venugopalan, Janani; Hoffman, Ryan; Wang, May D

2017-02-01

Rapid advances of high-throughput technologies and wide adoption of electronic health records (EHRs) have led to fast accumulation of -omic and EHR data. These voluminous complex data contain abundant information for precision medicine, and big data analytics can extract such knowledge to improve the quality of healthcare. In this paper, we present -omic and EHR data characteristics, associated challenges, and data analytics including data preprocessing, mining, and modeling. To demonstrate how big data analytics enables precision medicine, we provide two case studies, including identifying disease biomarkers from multi-omic data and incorporating -omic information into EHR. Big data analytics is able to address -omic and EHR data challenges for paradigm shift toward precision medicine. Big data analytics makes sense of -omic and EHR data to improve healthcare outcome. It has long lasting societal impact.

A qualitative evaluation of the crucial attributes of contextual information necessary in EHR design to support patient-centered medical home care.

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Weir, Charlene R; Staggers, Nancy; Gibson, Bryan; Doing-Harris, Kristina; Barrus, Robyn; Dunlea, Robert

2015-04-16

Effective implementation of a Primary Care Medical Home model of care (PCMH) requires integration of patients' contextual information (physical, mental, social and financial status) into an easily retrievable information source for the healthcare team and clinical decision-making. This project explored clinicians' perceptions about important attributes of contextual information for clinical decision-making, how contextual information is expressed in CPRS clinical documentation as well as how clinicians in a highly computerized environment manage information flow related to these areas. A qualitative design using Cognitive Task Analyses and a modified Critical Incident Technique were used. The study was conducted in a large VA with a fully implemented EHR located in the western United States. Seventeen providers working in a PCMH model of care in Primary Care, Home Based Care and Geriatrics reported on a recent difficult transition requiring contextual information for decision-making. The transcribed interviews were qualitatively analyzed for thematic development related to contextual information using an iterative process and multiple reviewers with ATLAS@ti software. Six overarching themes emerged as attributes of contextual information: Informativeness, goal language, temporality, source attribution, retrieval effort, and information quality. These results indicate that specific attributes are needed to in order for contextual information to fully support clinical decision-making in a Medical Home care delivery environment. Improved EHR designs are needed for ease of contextual information access, displaying linkages across time and settings, and explicit linkages to both clinician and patient goals. Implications relevant to providers' information needs, team functioning and EHR design are discussed.

PubMed-supported clinical term weighting approach for improving inter-patient similarity measure in diagnosis prediction.

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Chan, Lawrence Wc; Liu, Ying; Chan, Tao; Law, Helen Kw; Wong, S C Cesar; Yeung, Andy Ph; Lo, K F; Yeung, S W; Kwok, K Y; Chan, William Yl; Lau, Thomas Yh; Shyu, Chi-Ren

2015-06-02

Similarity-based retrieval of Electronic Health Records (EHRs) from large clinical information systems provides physicians the evidence support in making diagnoses or referring examinations for the suspected cases. Clinical Terms in EHRs represent high-level conceptual information and the similarity measure established based on these terms reflects the chance of inter-patient disease co-occurrence. The assumption that clinical terms are equally relevant to a disease is unrealistic, reducing the prediction accuracy. Here we propose a term weighting approach supported by PubMed search engine to address this issue. We collected and studied 112 abdominal computed tomography imaging examination reports from four hospitals in Hong Kong. Clinical terms, which are the image findings related to hepatocellular carcinoma (HCC), were extracted from the reports. Through two systematic PubMed search methods, the generic and specific term weightings were established by estimating the conditional probabilities of clinical terms given HCC. Each report was characterized by an ontological feature vector and there were totally 6216 vector pairs. We optimized the modified direction cosine (mDC) with respect to a regularization constant embedded into the feature vector. Equal, generic and specific term weighting approaches were applied to measure the similarity of each pair and their performances for predicting inter-patient co-occurrence of HCC diagnoses were compared by using Receiver Operating Characteristics (ROC) analysis. The Areas under the curves (AUROCs) of similarity scores based on equal, generic and specific term weighting approaches were 0.735, 0.728 and 0.743 respectively (p PubMed. Our findings suggest that the optimized similarity measure with specific term weighting to EHRs can improve significantly the accuracy for predicting the inter-patient co-occurrence of diagnosis when compared with equal and generic term weighting approaches.

Adopted Adolescents' Preoccupation with Adoption: The Impact on Adoptive Family Relationships.

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Kohler, Julie K.; Grotevant, Harold D.; McRoy, Ruth G.

2002-01-01

Examines relationship between intensity of adopted adolescents' thinking about their adoptions and their adoptive family relationships in 135 adopted adolescents. Adolescents with extremely high levels of preoccupation reported significantly higher levels of alienation and significantly lower levels of trust for their adoptive mothers and fathers.…

Predicting Parents’ School Engagement Among Lesbian, Gay, and Heterosexual Adoptive Parents of Kindergarteners

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Goldberg, Abbie E.; Smith, JuliAnna Z.

2014-01-01

Little research has explored parental engagement in schools in the context of adoptive parent families or same-sex parent families. The current cross-sectional study explored predictors of parents’ self-reported school involvement, relationships with teachers, and school satisfaction, in a sample of 103 female same-sex, male same-sex, and heterosexual adoptive parent couples (196 parents) of kindergarten-age children. Parents who reported more contact by teachers about positive or neutral topics (e.g., their child’s good grades) reported more involvement and greater satisfaction with schools, regardless of family type. Parents who reported more contact by teachers about negative topics (e.g., their child’s behavior problems) reported better relationships with teachers but lower school satisfaction, regardless of family type. Regarding the broader school context, across all family types, parents who felt more accepted by other parents reported more involvement and better parent–teacher relationships; socializing with other parents was related to greater involvement. Regarding the adoption-specific variables, parents who perceived their children’s schools as more culturally sensitive were more involved and satisfied with the school, regardless of family type. Perceived cultural sensitivity mattered more for heterosexual adoptive parents’ relationships with their teachers than it did for same-sex adoptive parents. Finally, heterosexual adoptive parents who perceived high levels of adoption stigma in their children’s schools were less involved than those who perceived low levels of stigma, whereas same-sex adoptive parents who perceived high levels of stigma were more involved than those who perceived low levels of stigma. Our findings have implications for school professionals, such as school psychologists, who work with diverse families. PMID:25267169

Validating EHR clinical models using ontology patterns.

Science.gov (United States)

Martínez-Costa, Catalina; Schulz, Stefan

2017-12-01

Clinical models are artefacts that specify how information is structured in electronic health records (EHRs). However, the makeup of clinical models is not guided by any formal constraint beyond a semantically vague information model. We address this gap by advocating ontology design patterns as a mechanism that makes the semantics of clinical models explicit. This paper demonstrates how ontology design patterns can validate existing clinical models using SHACL. Based on the Clinical Information Modelling Initiative (CIMI), we show how ontology patterns detect both modeling and terminology binding errors in CIMI models. SHACL, a W3C constraint language for the validation of RDF graphs, builds on the concept of "Shape", a description of data in terms of expected cardinalities, datatypes and other restrictions. SHACL, as opposed to OWL, subscribes to the Closed World Assumption (CWA) and is therefore more suitable for the validation of clinical models. We have demonstrated the feasibility of the approach by manually describing the correspondences between six CIMI clinical models represented in RDF and two SHACL ontology design patterns. Using a Java-based SHACL implementation, we found at least eleven modeling and binding errors within these CIMI models. This demonstrates the usefulness of ontology design patterns not only as a modeling tool but also as a tool for validation. Copyright © 2017 Elsevier Inc. All rights reserved.

User Adoption Tendency Modeling for Social Contextual Recommendation

Directory of Open Access Journals (Sweden)

Wang Zhisheng

2015-01-01

Full Text Available Most of studies on the existing recommender system for Netflix-style sites (scenarios with explicit user feedback focus on rating prediction, but few have systematically analyzed users’ motivations to make decisions on which items to rate. In this paper, the authors study the difficult and challenging task Item Adoption Prediction (IAP for predicting the items users will rate or interact with. It is not only an important supplement to previous works, but also a more realistic requirement of recommendation in this scenario. To recommend the items with high Adoption Tendency, the authors develop a unified model UATM based on the findings of Marketing and Consumer Behavior. The novelty of the model in this paper includes: First, the authors propose a more creative and effective optimization method to tackle One-Class Problem where only the positive feedback is available; second, the authors systematically and conveniently integrate the user adoption information (both explicit and implicit feedbacks included and the social contextual information with quantitatively characterizing different users’ personal sensitivity to various social contextual influences.

Adoption of Mobile Apps: The Role of Experience

Directory of Open Access Journals (Sweden)

Harryadin Mahardika

2012-12-01

Full Text Available The form of initial experience with mobile application determines consumers’ likelihood to adopt it. This paper examines the effects of two forms of experience (direct versus indirect toward the formation of consumers behavioral intentions (versus behavioral expectations to adopt mobile applications. A direct experience induces concrete mental process that underlies the formation of behavioral expectations, whereas an indirect experience induces abstract mental process that underlies the formation of behavioral intentions. Results from Experiment 1 show significant increase in behavioral expectations’ predictive ability when subjects engaged in a direct experience than an indirect experience. Meanwhile, the effects of a direct experience were subtle toward behavioral intentions’ predictive ability. In Experiment 2, the intensity of direct experience revealed additional caveats on the predictive ability of behavioral intentions and behavioral expectations. It is found that higher intensity of a direct experience has a stronger effect toward behavioral expectations than behavioral intentions. Findings of these experiments could be used as a ground to design an intervention strategy for mobile applications pre-adoption experience.

Perioperative nurses' attitudes toward the electronic health record.

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Yontz, Laura S; Zinn, Jennifer L; Schumacher, Edward J

2015-02-01

The adoption of an electronic health record (EHR) is mandated under current health care legislation reform. The EHR provides data that are patient centered and improves patient safety. There are limited data; however, regarding the attitudes of perioperative nurses toward the use of the EHR. The purpose of this project was to identify perioperative nurses' attitudes toward the use of the EHR. Quantitative descriptive survey was used to determine attitudes toward the electronic health record. Perioperative nurses in a southeastern health system completed an online survey to determine their attitudes toward the EHR in providing patient care. Overall, respondents felt the EHR was beneficial, did not add to the workload, improved documentation, and would not eliminate any nursing jobs. Nursing acceptance and the utilization of the EHR are necessary for the successful integration of an EHR and to support the goal of patient-centered care. Identification of attitudes and potential barriers of perioperative nurses in using the EHR will improve patient safety, communication, reduce costs, and empower those who implement an EHR. Copyright © 2015 American Society of PeriAnesthesia Nurses. Published by Elsevier Inc. All rights reserved.

Automated Methods to Extract Patient New Information from Clinical Notes in Electronic Health Record Systems

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Zhang, Rui

2013-01-01

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…

42 CFR 495.332 - State Medicaid health information technology (HIT) plan requirements.

Science.gov (United States)

2010-10-01

... and strategic plan for the next 5 years. (2) A description of how the State Medicaid HIT plan will be... processes that enable improved program administration for the Medicaid enterprise; (ii) Includes business... used certified EHR technology during the EHR reporting period, and that they have adopted, implemented...

Clinical Predictive Modeling Development and Deployment through FHIR Web Services.

Science.gov (United States)

Khalilia, Mohammed; Choi, Myung; Henderson, Amelia; Iyengar, Sneha; Braunstein, Mark; Sun, Jimeng

2015-01-01

Clinical predictive modeling involves two challenging tasks: model development and model deployment. In this paper we demonstrate a software architecture for developing and deploying clinical predictive models using web services via the Health Level 7 (HL7) Fast Healthcare Interoperability Resources (FHIR) standard. The services enable model development using electronic health records (EHRs) stored in OMOP CDM databases and model deployment for scoring individual patients through FHIR resources. The MIMIC2 ICU dataset and a synthetic outpatient dataset were transformed into OMOP CDM databases for predictive model development. The resulting predictive models are deployed as FHIR resources, which receive requests of patient information, perform prediction against the deployed predictive model and respond with prediction scores. To assess the practicality of this approach we evaluated the response and prediction time of the FHIR modeling web services. We found the system to be reasonably fast with one second total response time per patient prediction.

The business end of health information technology. Can a fully integrated electronic health record increase provider productivity in a large community practice?

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De Leon, Samantha; Connelly-Flores, Alison; Mostashari, Farzad; Shih, Sarah C

2010-01-01

Electronic health records (EHRs) are expected to transform and improve the way medicine is practiced. However, providers perceive many barriers toward implementing new health information technology. Specifically, they are most concerned about the potentially negative impact on their practice finances and productivity. This study compares the productivity of 75 providers at a large urban primary care practice from January 2005 to February 2009, before and after implementing an EHR system, using longitudinal mixed model analyses. While decreases in productivity were observed at the time the EHR system was implemented, most providers quickly recovered, showing increases in productivity per month shortly after EHR implementation. Overall, providers had significant productivity increases of 1.7% per month per provider from pre- to post-EHR adoption. The majority of the productivity gains occurred after the practice instituted a pay-for-performance program, enabled by the data capture of the EHRs. Coupled with pay-for-performance, EHRs can spur rapid gains in provider productivity.

Prospective validation of a near real-time EHR-integrated automated SOFA score calculator.

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Aakre, Christopher; Franco, Pablo Moreno; Ferreyra, Micaela; Kitson, Jaben; Li, Man; Herasevich, Vitaly

2017-07-01

We created an algorithm for automated Sequential Organ Failure Assessment (SOFA) score calculation within the Electronic Health Record (EHR) to facilitate detection of sepsis based on the Third International Consensus Definitions for Sepsis and Septic Shock (SEPSIS-3) clinical definition. We evaluated the accuracy of near real-time and daily automated SOFA score calculation compared with manual score calculation. Automated SOFA scoring computer programs were developed using available EHR data sources and integrated into a critical care focused patient care dashboard at Mayo Clinic in Rochester, Minnesota. We prospectively compared the accuracy of automated versus manual calculation for a sample of patients admitted to the medical intensive care unit at Mayo Clinic Hospitals in Rochester, Minnesota and Jacksonville, Florida. Agreement was calculated with Cohen's kappa statistic. Reason for discrepancy was tabulated during manual review. Random spot check comparisons were performed 134 times on 27 unique patients, and daily SOFA score comparisons were performed for 215 patients over a total of 1206 patient days. Agreement between automatically scored and manually scored SOFA components for both random spot checks (696 pairs, κ=0.89) and daily calculation (5972 pairs, κ=0.89) was high. The most common discrepancies were in the respiratory component (inaccurate fraction of inspired oxygen retrieval; 200/1206) and creatinine (normal creatinine in patients with no urine output on dialysis; 128/1094). 147 patients were at risk of developing sepsis after intensive care unit admission, 10 later developed sepsis confirmed by chart review. All were identified before onset of sepsis with the ΔSOFA≥2 point criterion and 46 patients were false-positives. Near real-time automated SOFA scoring was found to have strong agreement with manual score calculation and may be useful for the detection of sepsis utilizing the new SEPSIS-3 definition. Copyright © 2017 Elsevier B.V. All

Developing Health Information Technology (HIT) Programs and HIT Curriculum: The Southern Polytechnic State University Experience

Science.gov (United States)

Zhang, Chi; Reichgelt, Han; Rutherfoord, Rebecca H.; Wang, Andy Ju An

2014-01-01

Health Information Technology (HIT) professionals are in increasing demand as healthcare providers need help in the adoption and meaningful use of Electronic Health Record (EHR) systems while the HIT industry needs workforce skilled in HIT and EHR development. To respond to this increasing demand, the School of Computing and Software Engineering…

Nurses' Perceptions of the Electronic Health Record

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Crawley, Rocquel Devonne

2013-01-01

The implementation of electronic health records (EHR) by health care organizations has been limited. Despite the broad consensus on the potential benefits of EHRs, health care organizations have been slow to adopt the technology. The purpose of this qualitative phenomenological study was to explore licensed practical and registered nurses'…

Adoptive parent hostility and children's peer behavior problems: examining the role of genetically informed child attributes on adoptive parent behavior.

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Elam, Kit K; Harold, Gordon T; Neiderhiser, Jenae M; Reiss, David; Shaw, Daniel S; Natsuaki, Misaki N; Gaysina, Darya; Barrett, Doug; Leve, Leslie D

2014-05-01

Socially disruptive behavior during peer interactions in early childhood is detrimental to children's social, emotional, and academic development. Few studies have investigated the developmental underpinnings of children's socially disruptive behavior using genetically sensitive research designs that allow examination of parent-on-child and child-on-parent (evocative genotype-environment correlation [rGE]) effects when examining family process and child outcome associations. Using an adoption-at-birth design, the present study controlled for passive genotype-environment correlation and directly examined evocative rGE while examining the associations between family processes and children's peer behavior. Specifically, the present study examined the evocative effect of genetic influences underlying toddler low social motivation on mother-child and father-child hostility and the subsequent influence of parent hostility on disruptive peer behavior during the preschool period. Participants were 316 linked triads of birth mothers, adoptive parents, and adopted children. Path analysis showed that birth mother low behavioral motivation predicted toddler low social motivation, which predicted both adoptive mother-child and father-child hostility, suggesting the presence of an evocative genotype-environment association. In addition, both mother-child and father-child hostility predicted children's later disruptive peer behavior. Results highlight the importance of considering genetically influenced child attributes on parental hostility that in turn links to later child social behavior. Implications for intervention programs focusing on early family processes and the precursors of disrupted child social development are discussed. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

Predictors of the decision to adopt motivational interviewing in community health settings.

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Williams, Jessica Roberts; Blais, Marissa Puckett; Banks, Duren; Dusablon, Tracy; Williams, Weston O; Hennessy, Kevin D

2014-07-01

The purpose of this study is to concurrently examine the impact of individual and organizational characteristics on the decision to adopt the evidence-based practice (EBP) motivational interviewing (MI) among directors and staff (n = 311) in community health organizations (n = 92). Results from hierarchical linear modeling indicated that, at the individual level, attitudes toward EBPs and race each predicted directors' decisions to adopt, while gender predicted staff's decisionmaking. At the organizational level, organizational climate was inversely associated with both staff's and directors' decisions to adopt MI. Organizational barriers to implementing EBPs and use of reading materials and treatment manuals were related to directors' decision to adopt. Type of organization and staff attributes were associated with staff's decision to adopt. These findings underscore the need to tailor dissemination and implementation strategies to address differences between directors and staff in the adoption of EBPs.

Links between Adolescents’ Closeness to Adoptive Parents and Attachment Style in Young Adulthood

Science.gov (United States)

Grant-Marsney, Holly A.; Grotevant, Harold D.; Sayer, Aline G.

2014-01-01

This study examined whether adolescents’ closeness to adoptive parents (APs) predicted attachment styles in close relationships outside their family during young adulthood. In a longitudinal study of domestic infant adoptions, closeness to adoptive mother and adoptive father was assessed in 156 adolescents (M = 15.7 years). Approximately nine years later (M = 25.0 years), closeness to parents was assessed again as well as attachment style in their close relationships. Multilevel modeling was used to predict attachment style in young adulthood from the average and discrepancy of closeness to adolescents’ adoptive mothers and fathers and the change over time in closeness to APs. Less avoidant attachment style was predicted by stronger closeness to both APs during adolescence. Increased closeness to APs over time was related to less anxiety in close relationships. Higher closeness over time to either AP was related to less avoidance and anxiety in close relationships. PMID:25859067

Links between Adolescents' Closeness to Adoptive Parents and Attachment Style in Young Adulthood.

Science.gov (United States)

Grant-Marsney, Holly A; Grotevant, Harold D; Sayer, Aline G

2015-04-01

This study examined whether adolescents' closeness to adoptive parents (APs) predicted attachment styles in close relationships outside their family during young adulthood. In a longitudinal study of domestic infant adoptions, closeness to adoptive mother and adoptive father was assessed in 156 adolescents ( M = 15.7 years). Approximately nine years later ( M = 25.0 years), closeness to parents was assessed again as well as attachment style in their close relationships. Multilevel modeling was used to predict attachment style in young adulthood from the average and discrepancy of closeness to adolescents' adoptive mothers and fathers and the change over time in closeness to APs. Less avoidant attachment style was predicted by stronger closeness to both APs during adolescence. Increased closeness to APs over time was related to less anxiety in close relationships. Higher closeness over time to either AP was related to less avoidance and anxiety in close relationships.

The Borg scale as an important tool of self-monitoring and self-regulation of exercise prescription in heart failure patients during hydrotherapy. A randomized blinded controlled trial.

Science.gov (United States)

Carvalho, Vitor Oliveira; Bocchi, Edimar Alcides; Guimarães, Guilherme Veiga

2009-10-01

The Borg Scale may be a useful tool for heart failure patients to self-monitor and self-regulate exercise on land or in water (hydrotherapy) by maintaining the heart rate (HR) between the anaerobic threshold and respiratory compensation point. Patients performed a cardiopulmonary exercise test to determine their anaerobic threshold/respiratory compensation points. The percentage of the mean HR during the exercise session in relation to the anaerobic threshold HR (%EHR-AT), in relation to the respiratory compensation point (%EHR-RCP), in relation to the peak HR by the exercise test (%EHR-Peak) and in relation to the maximum predicted HR (%EHR-Predicted) was calculated. Next, patients were randomized into the land or water exercise group. One blinded investigator instructed the patients in each group to exercise at a level between "relatively easy and slightly tiring". The mean HR throughout the 30-min exercise session was recorded. The %EHR-AT and %EHR-predicted did not differ between the land and water exercise groups, but they differed in the %EHR-RCP (95 +/-7 to 86 +/-7, P<0.001) and in the %EHR-Peak (85 +/-8 to 78 +/-9, P=0.007). Exercise guided by the Borg scale maintains the patient's HR between the anaerobic threshold and respiratory compensation point (ie, in the exercise training zone).

Post-adoption contact, adoption communicative openness, and satisfaction with contact as predictors of externalizing behavior in adolescence and emerging adulthood.

Science.gov (United States)

Grotevant, Harold D; Rueter, Martha; Von Korff, Lynn; Gonzalez, Christopher

2011-05-01

This study examined the relation between three variables related to adoptive family relationships (post-adoption contact between adoptive and birth family members, adoption communicative openness, and satisfaction with contact) and adoptee externalizing behavior in adolescence and emerging adulthood. The study included 190 families of infant-placed, domestic adoptees during childhood, adolescence, and emerging adulthood. Structural equation modeling (SEM) was used to analyze predictors of externalizing behavior from contact (adoptive parents and adolescent reports), adoption communicative openness (adoptive mothers), and satisfaction with contact (adoptive parents and adolescent). Externalizing behavior showed moderate stability across childhood, adolescence, and emerging adulthood. Contact and adoption communicative openness were related to each other, but not to externalizing behaviors in adolescence or emerging adulthood. Controlling for the effect of Childhood Externalizing, adoptive families most satisfied with contact reported relative declines in adoptee externalizing behavior during adolescence compared to those in less satisfied families. Satisfaction was also indirectly associated with Emerging Adult Externalizing, through its effect on Adolescent Externalizing. Although contact and adoption communicative openness were highly correlated with each other, neither was related to adoptees' externalizing behavior in adolescence or emerging adulthood. Family-level satisfaction with contact was more predictive of externalizing outcomes. © 2010 The Authors. Journal of Child Psychology and Psychiatry © 2010 Association for Child and Adolescent Mental Health.

Behavioral Health Providers and Electronic Health Records: An Exploratory Beliefs Elicitation and Segmentation Study

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Shank, Nancy

2011-01-01

The widespread adoption of electronic health records (EHRs) is a public policy strategy to improve healthcare quality and reduce accelerating health care costs. Much research has focused on medical providers' perceptions of EHRs, but little is known about those of behavioral health providers. This research was informed by the theory of reasoned…

Electronic Health Records: Overcoming Obstacles to Improve Acceptance and Utilization for Mental Health Clinicians

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Odom, Stephen A.

2017-01-01

The dynamics and progress of the integration of the electronic health record (EHR) into health-care disciplines have been described and examined using theories related to technology adoption. Previous studies have examined health-care clinician resistance to the EHR in primary care, hospital, and urgent care medical settings, but few studies have…

The Western New York regional electronic health record initiative: Healthcare informatics use from the registered nurse perspective.

Science.gov (United States)

Sackett, Kay M; Erdley, W Scott; Jones, Janice

2006-01-01

This paper describes a select population of Western New York (WNY) Registered Nurses' (RN) perspectives on the use of healthcare informatics and the adoption of a regional electronic health record (EHR). A three part class assignment on healthcare informatics used a Strengths, Weaknesses, Opportunities, Threats (SWOT) Analysis, and a Healthcare Informatics Schemata: A paradigm shift over time(c) timeline to determine RN perspectives about healthcare informatics use at their place of employment. Qualitative analysis of 41 RNs who completed the SWOT analysis provided positive and negative themes related to perceptions about healthcare informatics and EHR use at their place of employment. 29 healthcare organizations were aggregated by year on the timeline from 1950 through 2000. Information suggests that, RNs have the capacity to positively drive the adoption of EHRs and healthcare informatics in WNY.

Maternal secure-base scripts and children's attachment security in an adopted sample.

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Veríssimo, Manuela; Salvaterra, Fernanda

2006-09-01

Studies of families with adopted children are of special interest to attachment theorists because they afford opportunities to probe assumptions of attachment theory with regard to the developmental timing of interactions necessary to form primary attachments and also with regard to effects of shared genes on child attachment quality. In Bowlby's model, attachment-relevant behaviors and interactions are observable from the moment of birth, but for adoptive families, these interactions cannot begin until the child enters the family, sometimes several months or even years post-partum. Furthermore, because adoptive parents and adopted children do not usually share genes by common descent, any correspondence between attachment representations of the parent and secure base behavior of the child must arise as a consequence of dyadic interaction histories. The objectives of this study were to evaluate whether the child's age at the time of adoption or at the time of attachment assessment predicted child attachment security in adoptive families and also whether the adoptive mother's internal attachment representation predicted the child's attachment security. The participants were 106 mother - child dyads selected from the 406 adoptions carried out through the Lisbon Department of Adoption Services over a period of 3 years. The Attachment Behavior Q-Set (AQS; Waters, 1995) was used to assess secure base behavior and an attachment script representation task was used to assess the maternal attachment representations. Neither child's age at the time of adoption, nor age of the child at assessment significantly predicted the AQS security score; however, scores reflecting the presence and quality of maternal secure base scripts did predict AQS security. These findings support the notion that the transmission of attachment security across generations involves mutual exchanges and learning by the child and that the exchanges leading to secure attachment need not begin at birth

-Omic and Electronic Health Records Big Data Analytics for Precision Medicine

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Wu, Po-Yen; Cheng, Chih-Wen; Kaddi, Chanchala D.; Venugopalan, Janani; Hoffman, Ryan; Wang, May D.

2017-01-01

Objective Rapid advances of high-throughput technologies and wide adoption of electronic health records (EHRs) have led to fast accumulation of -omic and EHR data. These voluminous complex data contain abundant information for precision medicine, and big data analytics can extract such knowledge to improve the quality of health care. Methods In this article, we present -omic and EHR data characteristics, associated challenges, and data analytics including data pre-processing, mining, and modeling. Results To demonstrate how big data analytics enables precision medicine, we provide two case studies, including identifying disease biomarkers from multi-omic data and incorporating -omic information into EHR. Conclusion Big data analytics is able to address –omic and EHR data challenges for paradigm shift towards precision medicine. Significance Big data analytics makes sense of –omic and EHR data to improve healthcare outcome. It has long lasting societal impact. PMID:27740470

Determinants of internet poker adoption.

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Philander, Kahlil S; Abarbanel, B Lillian

2014-09-01

In nearly all jurisdictions, adoption of a new form of gambling has been a controversial and contentious subject. Online gambling has been no different, though there are many aspects that affect online gambling that do not appear in the brick and mortar environment. This study seeks to identify whether demographic, economic, political, technological, and/or sociological determinants contribute to online poker gambling adoption. A theoretical discussion of these categories' importance to online poker is provided and exploratory empirical analysis is used to examine their potential validity. The analysis revealed support for all of the proposed categories of variables thought to be predictive of online gambling legality.

Knowledge and adoption of solar home systems in rural Nicaragua

International Nuclear Information System (INIS)

Rebane, Kaja L.; Barham, Bradford L.

2011-01-01

Solar home systems (SHSs) are a promising electrification option for many households in the developing world. In most countries SHSs are at an early stage of dissemination, and thus face a hurdle common to many emerging alternative energy technologies: many people do not know enough about them to decide whether to adopt one or not. This study uses survey data collected in Nicaragua to investigate characteristics that predict the knowledge and adoption of SHSs among the rural population. First, a series of probit models is used to model the determinants of four measures of SHS knowledge. Next, a biprobit model with sample selection is employed to investigate the factors that predict SHS adoption, conditional on having sufficient knowledge to make an adoption decision. Comparison of the biprobit formulation to a standard probit model of adoption affirms its value. This study identifies multiple determinants of SHS knowledge and adoption, offers several practical recommendations to project planners, and provides an analytical framework for future work in this policy-relevant area. - Research highlights: → Solar home systems (SHSs) are a promising rural electrification option in the developing world. → As with many emerging renewable energy technologies, lack of knowledge may limit SHS adoption. → We use probit models to investigate the determinants of SHS knowledge in rural Nicaragua. → We also employ a biprobit model linking the determinants of knowledge and adoption. → We find that in analyzing SHS adoption, accounting for sample selection based on knowledge is key.

A Scalable Data Access Layer to Manage Structured Heterogeneous Biomedical Data.

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Giovanni Delussu

Full Text Available This work presents a scalable data access layer, called PyEHR, designed to support the implementation of data management systems for secondary use of structured heterogeneous biomedical and clinical data. PyEHR adopts the openEHR's formalisms to guarantee the decoupling of data descriptions from implementation details and exploits structure indexing to accelerate searches. Data persistence is guaranteed by a driver layer with a common driver interface. Interfaces for two NoSQL Database Management Systems are already implemented: MongoDB and Elasticsearch. We evaluated the scalability of PyEHR experimentally through two types of tests, called "Constant Load" and "Constant Number of Records", with queries of increasing complexity on synthetic datasets of ten million records each, containing very complex openEHR archetype structures, distributed on up to ten computing nodes.

A Scalable Data Access Layer to Manage Structured Heterogeneous Biomedical Data.

Science.gov (United States)

Delussu, Giovanni; Lianas, Luca; Frexia, Francesca; Zanetti, Gianluigi

2016-01-01

This work presents a scalable data access layer, called PyEHR, designed to support the implementation of data management systems for secondary use of structured heterogeneous biomedical and clinical data. PyEHR adopts the openEHR's formalisms to guarantee the decoupling of data descriptions from implementation details and exploits structure indexing to accelerate searches. Data persistence is guaranteed by a driver layer with a common driver interface. Interfaces for two NoSQL Database Management Systems are already implemented: MongoDB and Elasticsearch. We evaluated the scalability of PyEHR experimentally through two types of tests, called "Constant Load" and "Constant Number of Records", with queries of increasing complexity on synthetic datasets of ten million records each, containing very complex openEHR archetype structures, distributed on up to ten computing nodes.

Beyond the adoption/ non-adoption dichotomy: the impact of innovation characteristics on potential adopters' transition through adoption process stages

NARCIS (Netherlands)

Agarwal, M.K.; Frambach, R.T.

2002-01-01

Research on innovation adoption has suffered from a bias towards understanding the factors that affect the dichotomous adoption/non-adoption decision.Much less attention is devoted to the question why potential adopters fail to progress to the adoption stage from earlier stages in the decision

Adoptive Parent Hostility and Children’s Peer Behavior Problems: Examining the Role of Genetically-Informed Child Attributes on Adoptive Parent Behavior

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Elam, Kit K.; Harold, Gordon T.; Neiderhiser, Jenae M.; Reiss, David; Shaw, Daniel S.; Natsuaki, Misaki N.; Gaysina, Darya; Barrett, Doug; Leve, Leslie D.

2014-01-01

Socially disruptive behavior during peer interactions in early childhood is detrimental to children’s social, emotional, and academic development. Few studies have investigated the developmental underpinnings of children’s socially disruptive behavior using genetically-sensitive research designs that allow examination of parent-on-child and child-on-parent (evocative genotype-environment correlation) effects when examining family process and child outcome associations. Using an adoption-at-birth design, the present study controlled for passive genotype-environment correlation and directly examined evocative genotype-environment correlation (rGE) while examining the associations between family processes and children’s peer behavior. Specifically, the present study examined the evocative effect of genetic influences underlying toddler low social motivation on mother-child and father-child hostility, and the subsequent influence of parent hostility on disruptive peer behavior during the preschool period. Participants were 316 linked triads of birth mothers, adoptive parents, and adopted children. Path analysis showed that birth mother low behavioral motivation predicted toddler low social motivation, which predicted both adoptive mother-child and father-child hostility, suggesting the presence of an evocative genotype-environment association. In addition, both mother-child and father-child hostility predicted children’s later disruptive peer behavior. Results highlight the importance of considering genetically-influenced child attributes on parental hostility that in turn link to later child social behavior. Implications for intervention programs focusing on early family processes and the precursors of disrupted child social development are discussed. PMID:24364829

Internationally adopted children: what vaccines should they receive?

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Cilleruelo, M J; de Ory, F; Ruiz-Contreras, J; González-González, R; Mellado, M J; García-Hortelano, M; Villota, J; García-Ascaso, M; Piñeiro, R; Martín-Fontelos, P; Herruzo, R

2008-10-29

It is of paramount importance to know the vaccination status in internationally adopted children, so that they can be correctly immunized. This study ascertains the seroprotection rate for vaccine-preventable diseases and the validity of the immunization cards in 637 adopted children. The absence of the immunization card (13% of children) correlated with a poor global vaccine protection. Children with immunization records (87%) had a better global seroprotection but the information obtained from the card did not accurately predict seroprotection for each particular antigen. The best variable to predict the status of seroprotection was the country of origin. The highest rate of protection was found in children from Eastern Europe and, in descending order, India, Latin America, China and Africa. General recommendations for immunization of internationally adopted children are difficult to establish. Actions for vaccination have to be mainly implemented on the basis of the existence of the immunization card and of the country of origin.

INTERNET USE ADOPTION AMONG ACADEMICIANS: Comparing Innovative Adopters and Other Adopter Types

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Norbayah BTE MOHD SUKI

2006-04-01

Full Text Available Online shopping represents an innovation to be adopted or rejected by online consumersglobally. Previous experiences and knowledge of innovation are the main factors affectingpeople’s willingness to adopt a new innovation. We explore how Internet use differsbetween academicians who are innovative adopters and other types of adopters.Academicians who are innovative adopters are hypothesized to: have more years of experience on online shopping, have greater frequency of purchase, and pay a higher price for items purchased online.Data were collected from 301 respondents. Results provide new perspective on innovativeadopters among Malaysian academicians; they have less experience than other adopters inshopping for products online, make fewer purchases online and pay small amount ofmoney in shopping for products online than other adopters. Directions for future research are also discussed.

Health services research evaluation principles. Broadening a general framework for evaluating health information technology.

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Sockolow, P S; Crawford, P R; Lehmann, H P

2012-01-01

Our forthcoming national experiment in increased health information technology (HIT) adoption funded by the American Recovery and Reinvestment Act of 2009 will require a comprehensive approach to evaluating HIT. The quality of evaluation studies of HIT to date reveals a need for broader evaluation frameworks that limits the generalizability of findings and the depth of lessons learned. Develop an informatics evaluation framework for health information technology (HIT) integrating components of health services research (HSR) evaluation and informatics evaluation to address identified shortcomings in available HIT evaluation frameworks. A systematic literature review updated and expanded the exhaustive review by Ammenwerth and deKeizer (AdK). From retained studies, criteria were elicited and organized into classes within a framework. The resulting Health Information Technology Research-based Evaluation Framework (HITREF) was used to guide clinician satisfaction survey construction, multi-dimensional analysis of data, and interpretation of findings in an evaluation of a vanguard community health care EHR. The updated review identified 128 electronic health record (EHR) evaluation studies and seven evaluation criteria not in AdK: EHR Selection/Development/Training; Patient Privacy Concerns; Unintended Consequences/ Benefits; Functionality; Patient Satisfaction with EHR; Barriers/Facilitators to Adoption; and Patient Satisfaction with Care. HITREF was used productively and was a complete evaluation framework which included all themes that emerged. We can recommend to future EHR evaluators that they consider adding a complete, research-based HIT evaluation framework, such as HITREF, to their evaluation tools suite to monitor HIT challenges as the federal government strives to increase HIT adoption.

Adoptees' contact with birth parents in emerging adulthood: the role of adoption communication and attachment to adoptive parents.

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Farr, Rachel H; Grant-Marsney, Holly A; Grotevant, Harold D

2014-12-01

As adoptees transition to adulthood, their roles in the family may shift, providing them with opportunities to have increasing autonomy in their decisions about contact and initiating conversations about adoption. Research has often focused more on adoptees as children, yet in emerging adulthood, there are important shifts in the life roles and relationships of adoptees during which adoptive parents continue to be meaningful. This study examined associations among attachment and communication within the adoptive family during adulthood with emerging adult adoptees' experience of birth family contact (frequency of and satisfaction with birth family contact), in a sample of 167 emerging adults with varied contact with birth family (from no contact to frequent contact). Results suggest that perceptions of secure parent-child attachment relationships, as well as sensitive and open communication with adoptive parents about adoption, continue to be important for emerging adult adoptees and lead to greater satisfaction for adoptees with birth parent contact-regardless of whether adoptees actually have birth family contact. In particular, positive family communication about adoption during adulthood was predictive of satisfaction with birth parent contact. Limitations and implications are discussed. © 2014 Family Process Institute.

Predicting hospital-acquired infections by scoring system with simple parameters.

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Ying-Jui Chang

Full Text Available BACKGROUND: Hospital-acquired infections (HAI are associated with increased attributable morbidity, mortality, prolonged hospitalization, and economic costs. A simple, reliable prediction model for HAI has great clinical relevance. The objective of this study is to develop a scoring system to predict HAI that was derived from Logistic Regression (LR and validated by Artificial Neural Networks (ANN simultaneously. METHODOLOGY/PRINCIPAL FINDINGS: A total of 476 patients from all the 806 HAI inpatients were included for the study between 2004 and 2005. A sample of 1,376 non-HAI inpatients was randomly drawn from all the admitted patients in the same period of time as the control group. External validation of 2,500 patients was abstracted from another academic teaching center. Sixteen variables were extracted from the Electronic Health Records (EHR and fed into ANN and LR models. With stepwise selection, the following seven variables were identified by LR models as statistically significant: Foley catheterization, central venous catheterization, arterial line, nasogastric tube, hemodialysis, stress ulcer prophylaxes and systemic glucocorticosteroids. Both ANN and LR models displayed excellent discrimination (area under the receiver operating characteristic curve [AUC]: 0.964 versus 0.969, p = 0.507 to identify infection in internal validation. During external validation, high AUC was obtained from both models (AUC: 0.850 versus 0.870, p = 0.447. The scoring system also performed extremely well in the internal (AUC: 0.965 and external (AUC: 0.871 validations. CONCLUSIONS: We developed a scoring system to predict HAI with simple parameters validated with ANN and LR models. Armed with this scoring system, infectious disease specialists can more efficiently identify patients at high risk for HAI during hospitalization. Further, using parameters either by observation of medical devices used or data obtained from EHR also provided good prediction

Acceptance and Usage of Electronic Health Record Systems in Small Medical Practices

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Tannan, Ritu

2012-01-01

One of the objectives of the U.S. government has been the development of a nationwide health information infrastructure, including adoption and use of an electronic health records (EHR) system. However, a 2008 survey conducted by the National Center for Health Statistics indicated a 41.5% usage of the EHR system by physicians in office-based…

Lost opportunities: Modeling commercial building energy code adoption in the United States

International Nuclear Information System (INIS)

Nelson, Hal T.

2012-01-01

This paper models the adoption of commercial building energy codes in the US between 1977 and 2006. Energy code adoption typically results in an increase in aggregate social welfare by cost effectively reducing energy expenditures. Using a Cox proportional hazards model, I test if relative state funding, a new, objective, multivariate regression-derived measure of government capacity, as well as a vector of control variables commonly used in comparative state research, predict commercial building energy code adoption. The research shows little political influence over historical commercial building energy code adoption in the sample. Colder climates and higher electricity prices also do not predict more frequent code adoptions. I do find evidence of high government capacity states being 60 percent more likely than low capacity states to adopt commercial building energy codes in the following year. Wealthier states are also more likely to adopt commercial codes. Policy recommendations to increase building code adoption include increasing access to low cost capital for the private sector and providing noncompetitive block grants to the states from the federal government. - Highlights: ► Model the adoption of commercial building energy codes from 1977–2006 in the US. ► Little political influence over historical building energy code adoption. ► High capacity states are over 60 percent more likely than low capacity states to adopt codes. ► Wealthier states are more likely to adopt commercial codes. ► Access to capital and technical assistance is critical to increase code adoption.

A longitudinal investigation of children internationally adopted at school age.

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Helder, Emily J; Mulder, Elizabeth; Gunnoe, Marjorie Linder

2016-01-01

Most existing research on children adopted internationally has focused on those adopted as infants and toddlers. The current study longitudinally tracked several outcomes, including cognitive, behavioral, emotional, attachment, and family functioning, in 25 children who had been internationally adopted at school age (M = 7.7 years old at adoption, SD = 3.4, range = 4–15 years). We examined the incidence of clinically significant impairments, significant change in outcomes over the three study points, and variables that predicted outcomes over time. Clinically significant impairments in sustained attention, full-scale intelligence, reading, language, executive functioning, externalizing problems, and parenting stress were common, with language and executive functioning impairments present at higher levels in the current study compared with past research focusing on children adopted as infants and toddlers. Over the three study points, significant improvements across most cognitive areas and attachment functioning were observed, though significant worsening in executive functioning and internalizing problems was present. Adoptive family-specific variables, such as greater maternal education, smaller family size, a parenting approach that encouraged age-expected behaviors, home schooling, and being the sole adopted child in the family were associated with greater improvement across several cognitive outcomes. In contrast, decreased parenting stress was predicted by having multiple adopted children and smaller family sizes were associated with greater difficulties with executive functioning. Child-specific variables were also linked to outcomes, with girls displaying worse attachment and poorer cognitive performance and with less time in orphanage care resulting in greater adoption success. Implications for future research and clinical applications are discussed.

Overcoming challenges integrating patient-generated data into the clinical EHR: lessons from the CONtrolling Disease Using Inexpensive IT--Hypertension in Diabetes (CONDUIT-HID) Project.

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Marquard, Jenna L; Garber, Lawrence; Saver, Barry; Amster, Brian; Kelleher, Michael; Preusse, Peggy

2013-10-01

The CONDUIT-HID intervention integrates patients' electronic blood pressure measurements directly into the clinical EHR using Microsoft HealthVault as an intermediary data store. The goal of this paper is to describe generalizable categories of patient and technical challenges encountered in the development and implementation of this inexpensive, commercial off-the-shelf consumer health informatics intervention, examples of challenges within each category, and how the example challenges were resolved prior to conducting an RCT of the intervention. The research team logged all challenges and mediation strategies during the technical development of the intervention, conducted home visits to observe patients using the intervention, and conducted telephone calls with patients to understand challenges they encountered. We then used these data to iteratively refine the intervention. The research team identified a variety of generalizable categories of challenges associated with patients uploading data from their homes, patients uploading data from clinics because they did not have or were not comfortable using home computers, and patients establishing the connection between HealthVault and the clinical EHR. Specific challenges within these categories arose because: (1) the research team had little control over the device and application design, (2) multiple vendors needed to coordinate their actions and design changes, (3) the intervention use cases were not anticipated by the device and application designers, (4) PHI accessed on clinic computers needed to be kept secure, (5) the research team wanted the data in the clinical EHR to be valid and reliable, (6) patients needed the ability to share only the data they wanted, and (7) the development of some EHR functionalities were new to the organization. While these challenges were varied and complex, the research team was able to successfully resolve each one prior to the start of the RCT. By identifying these

Determinants affecting consumer adoption of contactless credit card: an empirical study.

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Wang, Yu-Min

2008-12-01

The contactless credit card is one of the most promising technological innovations in the field of electronic payments. It provides consumers with greater control of payments, convenience, and transaction speed. However, contactless credit cards have yet to gain significant rates of adoption in the marketplace. Thus, effort must be made to identify factors affecting consumer adoption of contactless credit cards. Based on the technology acceptance model, innovation diffusion theory, and the relevant literature, seven variables (perceived usefulness, perceived ease of use, compatibility, perceived risk, trust, consumer involvement, availability of infrastructure) are proposed to help predict consumer adoption of contactless credit cards. Data collected from 312 respondents in Taiwan is tested against the proposed prediction model using the logistic regression approach. The results and implications of our study contribute to an expanded understanding of the factors that affect consumer adoption of contactless credit cards.

Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Environmental Domain.

Science.gov (United States)

Saelens, Brian E; Arteaga, S Sonia; Berrigan, David; Ballard, Rachel M; Gorin, Amy A; Powell-Wiley, Tiffany M; Pratt, Charlotte; Reedy, Jill; Zenk, Shannon N

2018-04-01

There is growing interest in how environment is related to adults' weight and activity and eating behaviors. However, little is known about whether environmental factors are related to the individual variability seen in adults' intentional weight loss or maintenance outcomes. The environmental domain subgroup of the Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core Measures Project sought to identify a parsimonious set of objective and perceived neighborhood and social environment constructs and corresponding measures to include in the assessment of response to adult weight-loss treatment. Starting with the home address, the environmental domain subgroup recommended for inclusion in future weight-loss or maintenance studies constructs and measures related to walkability, perceived land use mix, food outlet accessibility (perceived and objective), perceived food availability, socioeconomics, and crime-related safety (perceived and objective) to characterize the home neighborhood environment. The subgroup also recommended constructs and measures related to social norms (perceived and objective) and perceived support to characterize an individual's social environment. The 12 neighborhood and social environment constructs and corresponding measures provide a succinct and comprehensive set to allow for more systematic examination of the impact of environment on adults' weight loss and maintenance. © 2018 The Obesity Society.

Investigating the Challenges and Opportunities in Home Care to Facilitate Effective Information Technology Adoption.

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Koru, Güneş; Alhuwail, Dari; Topaz, Maxim; Norcio, Anthony F; Mills, Mary Etta

2016-01-01

As home care utilization increases, information technology (IT) becomes a critical tool for providing quality home care. However, most home health agencies (HHAs) in the United States are in a position to adopt and leverage IT solutions in budget-constrained settings, where it is crucial to address important and pressing challenges and opportunities for achieving effectiveness in IT adoption. (1) Explore HHAs' challenges and opportunities related to delivering home care as well as performing administrative functions and conducting business, (2) learn about current IT implementation levels and activities in home care, and (3) make recommendations to facilitate efforts and initiatives designed for adopting IT in home care effectively. Semistructured interviews were conducted to elicit rich contextual information from the participants recruited from 13 local HHAs in one of the states in the United States. Established systems analysis techniques were used to ask questions during the interviews. Framework, a qualitative research method, was used to analyze the qualitative data obtained from the interviews. Coordinating clinical and administrative workflows was an important challenge. Inadequate access to patients' medical history and difficulties with medication reconciliation detracted from the quality of care. Hiring, training, scheduling, and retaining qualified personnel constituted another important challenge. Training and educating patients, caregivers, and families hold important opportunities for improving the quality of care. All except one HHA adopted electronic health records (EHR) but many continued to struggle considerably in their day-to-day functions. Health information exchange (HIE) seems to be the most needed technology. Telehealth solutions were perceived to be promising but their added value and financial viability in the long run were questioned. The recommendations for effective IT adoption include keeping a quality improvement focus, keeping a

Satisfaction of health-care providers with electronic health records and perceived barriers to its implementation in the United Arab Emirates.

Science.gov (United States)

Bani-Issa, Wegdan; Al Yateem, Nabeel; Al Makhzoomy, Ibtihal Khalaf; Ibrahim, Ali

2016-08-01

The integration of electronic health records (EHRs) has shown promise in improving health-care quality. In the United Arab Emirates, EHRs have been recently adopted to improve the quality and safety of patient care. A cross-sectional survey of 680 health-care providers (HCPs) was conducted to assess the satisfaction of HCPs in the United Arab Emirates with EHRs' impact on access/viewing, documentation and medication administration and to explore the barriers encountered in their use. Data were collected over 6 months from April to September 2014. High overall satisfaction with EHRs was reported by HCPs, suggesting their acceptance. Physicians reported the greatest overall satisfaction with EHRs, although nurses showed significantly higher satisfaction with the impact on medication administration compared with other HCPs. The most significant barriers reported by nurses were lack of belief in the value of EHRs for patients and lack of adequate computer skills. Given the large investment in technology, additional research is necessary to promote the full utilization of EHRs. Nurses need to be aware of the value of EHRs for patient care and be involved in all stages of EHR implementations to maximize its meaningful use for better clinical outcomes. © 2016 John Wiley & Sons Australia, Ltd.

Rationale, design, and implementation protocol of an electronic health record integrated clinical prediction rule (iCPR randomized trial in primary care

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Wisnivesky Juan

2011-09-01

Full Text Available Abstract Background Clinical prediction rules (CPRs represent well-validated but underutilized evidence-based medicine tools at the point-of-care. To date, an inability to integrate these rules into an electronic health record (EHR has been a major limitation and we are not aware of a study demonstrating the use of CPR's in an ambulatory EHR setting. The integrated clinical prediction rule (iCPR trial integrates two CPR's in an EHR and assesses both the usability and the effect on evidence-based practice in the primary care setting. Methods A multi-disciplinary design team was assembled to develop a prototype iCPR for validated streptococcal pharyngitis and bacterial pneumonia CPRs. The iCPR tool was built as an active Clinical Decision Support (CDS tool that can be triggered by user action during typical workflow. Using the EHR CDS toolkit, the iCPR risk score calculator was linked to tailored ordered sets, documentation, and patient instructions. The team subsequently conducted two levels of 'real world' usability testing with eight providers per group. Usability data were used to refine and create a production tool. Participating primary care providers (n = 149 were randomized and intervention providers were trained in the use of the new iCPR tool. Rates of iCPR tool triggering in the intervention and control (simulated groups are monitored and subsequent use of the various components of the iCPR tool among intervention encounters is also tracked. The primary outcome is the difference in antibiotic prescribing rates (strep and pneumonia iCPR's encounters and chest x-rays (pneumonia iCPR only between intervention and control providers. Discussion Using iterative usability testing and development paired with provider training, the iCPR CDS tool leverages user-centered design principles to overcome pervasive underutilization of EBM and support evidence-based practice at the point-of-care. The ongoing trial will determine if this collaborative

Access Control Model for Sharing Composite Electronic Health Records

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Jin, Jing; Ahn, Gail-Joon; Covington, Michael J.; Zhang, Xinwen

The adoption of electronically formatted medical records, so called Electronic Health Records (EHRs), has become extremely important in healthcare systems to enable the exchange of medical information among stakeholders. An EHR generally consists of data with different types and sensitivity degrees which must be selectively shared based on the need-to-know principle. Security mechanisms are required to guarantee that only authorized users have access to specific portions of such critical record for legitimate purposes. In this paper, we propose a novel approach for modelling access control scheme for composite EHRs. Our model formulates the semantics and structural composition of an EHR document, from which we introduce a notion of authorized zones of the composite EHR at different granularity levels, taking into consideration of several important criteria such as data types, intended purposes and information sensitivities.

Open adoption: adoptive parents' reactions two decades later.

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Siegel, Deborah H

2013-01-01

Unlike in the past, most adoption agencies today offer birth parents and adoptive parents the opportunity to share identifying information and have contact with each other. To understand the impacts of different open adoption arrangements, a qualitative descriptive study using a snowball sample of 44 adoptive parents throughout New England began in 1988. Every seven years these parents who adopted infants in open adoptions have participated in tape-recorded interviews to explore their evolving reactions to their open adoption experiences. This article reports the results of in-depth interviews with these parents now that their children have reached young adulthood. This longitudinal research illuminates how open adoptions change over the course of childhood and adolescence, parents' feelings about open adoption, challenges that emerge in their relationships with their children's birth families, how those challenges are managed and viewed, and parents' advice for others living with open adoption and for clinical social work practice and policy. Findings reveal that regardless of the type of openness, these adoptive parents generally feel positive about knowing the birth parents and having contact with them, are comfortable with open adoption, and see it serving the child's best interests.

Strengthening Adoption Practice, Listening to Adoptive Families

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Atkinson, Anne; Gonet, Patricia

2007-01-01

In-depth interviews with 500 adoptive families who received postadoption services through Virginia's Adoptive Family Preservation (AFP) program paint a richly detailed picture of the challenges adoptive families face and what they need to sustain adoption for many years after finalization. Findings document the need for support in a variety of…

Intellectual Development within Transracial Adoptive Families: Retesting the Confluence Model.

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Berbaum, Michael L.; Moreland, Richard L.

1985-01-01

Estimates confluence model of intellectual development for a within-family sample of 321 children from 101 transracial adoptive families. Mental ages of children and their parents and birth or adoption intervals were used in a nonlinear least-squares estimation procedure to obtain children's predicted mental ages. Results suggest efficiency of the…

Facilitators & Barriers to the Adoption of Ergonomic Solutions in Construction

Science.gov (United States)

Dale, Ann Marie; Jaegers, Lisa; Welch, Laura; Barnidge, Ellen; Weaver, Nancy; Evanoff, Bradley A.

2017-01-01

Background Rates of musculoskeletal disorders in construction remain high. Few studies have described barriers and facilitators to the use of available ergonomic solutions. This paper describes these barriers and facilitators and their relationship to the level of adoption. Methods Three analysts rated 16 proposed ergonomic solutions from a participatory ergonomics study and assessed the level of adoption, six adoption characteristics, and identified the category of adoption from a theoretical model. Results Twelve solutions were always or intermittently used and were rated positively for characteristics of relative advantage, compatibility with existing work processes, and trialability. Locus of control (worker vs. contractor) was not related to adoption. Simple solutions faced fewer barriers to adoption than those rated as complex. Conclusions Specific adoption characteristics can help predict the use of new ergonomic solutions in construction. Adoption of complex solutions must involve multiple stakeholders, more time, and shifts in culture or work systems. PMID:28195660

Transactions Between Child Social Wariness and Observed Structured Parenting: Evidence From a Prospective Adoption Study

Science.gov (United States)

Natsuaki, Misaki N.; Leve, Leslie D.; Harold, Gordon T.; Neiderhiser, Jenae M.; Shaw, Daniel S.; Ganiban, Jody; Scaramella, Laura V.; Reiss, David

2013-01-01

This investigation examined the mutual influences between structured parenting and child social wariness during toddlerhood using a longitudinal adoption design. The sample consisted of 361 adoption-linked families, each including an adopted child, adoptive parents, and a birth mother. Heightened social wariness in children at age 18 months predicted reduced levels of observed structured parenting (i.e., less directive parenting with fewer commands and requests) in adoptive mothers at age 27 months. Adoptive fathers’ lower structured parenting at age 18 months predicted subsequent elevation in child social wariness. Birth mothers’ history of fear-related anxiety disorders was not associated with child social wariness. Findings highlight the role of dynamic family transactions in the development of social wariness during toddlerhood. PMID:23448430

Adoptive parenting.

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Grotevant, Harold D; Lo, Albert Yh

2017-06-01

Challenges in adoptive parenting continue to emerge as adoption policies and practices evolve. We review three areas of research in adoptive parenting that reflect contemporary shifts in adoption. First, we highlight recent findings concerning openness in adoption contact arrangements, or contact between a child's families of birth and rearing. Second, we examine research regarding racial and cultural socialization in transracial and international adoptions. Finally, we review investigations of parenting experiences of lesbian and gay adoptive parents. Overall, parenting processes (e.g., supportive vs. problematic family interaction) are better predictors of child adjustment than are group differences (e.g., open vs. closed adoptions; adoption by heterosexual vs. same-sex parents). The distinctive needs of adopted children call for preparation of adoption-competent mental health, casework, education, and health care professionals. Copyright © 2017 Elsevier Ltd. All rights reserved.

Modest Associations Between Electronic Health Record Use and Acute Myocardial Infarction Quality of Care and Outcomes: Results From the National Cardiovascular Data Registry.

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Enriquez, Jonathan R; de Lemos, James A; Parikh, Shailja V; Simon, DaJuanicia N; Thomas, Laine E; Wang, Tracy Y; Chan, Paul S; Spertus, John A; Das, Sandeep R

2015-11-01

In 2009, national legislation promoted wide-spread adoption of electronic health records (EHRs) across US hospitals; however, the association of EHR use with quality of care and outcomes after acute myocardial infarction (AMI) remains unclear. Data on EHR use were collected from the American Hospital Association Annual Surveys (2007-2010) and data on AMI care and outcomes from the National Cardiovascular Data Registry Acute Coronary Treatment and Interventions Outcomes Network Registry-Get With The Guidelines. Comparisons were made between patients treated at hospitals with fully implemented EHR (n=43 527), partially implemented EHR (n=72 029), and no EHR (n=9270). Overall EHR use increased from 82.1% (183/223) hospitals in 2007 to 99.3% (275/277) hospitals in 2010. Patients treated at hospitals with fully implemented EHRs had fewer heparin overdosing errors (45.7% versus 72.8%; P<0.01) and a higher likelihood of guideline-recommended care (adjusted odds ratio, 1.40 [confidence interval, 1.07-1.84]) compared with patients treated at hospitals with no EHR. In non-ST-segment-elevation AMI, fully implemented EHR use was associated with lower risk of major bleeding (adjusted odds ratio, 0.78 [confidence interval, 0.67-0.91]) and mortality (adjusted odds ratio, 0.82 [confidence interval, 0.69-0.97]) compared with no EHR. In ST-segment-elevation MI, outcomes did not significantly differ by EHR status. EHR use has risen to high levels among hospitals in the National Cardiovascular Data Registry. EHR use was associated with less frequent heparin overdosing and modestly greater adherence to acute MI guideline-recommended therapies. In non-ST-segment-elevation MI, slightly lower adjusted risk of major bleeding and mortality were seen in hospitals implemented with full EHRs; however, in ST-segment-elevation MI, differences in outcomes were not seen. © 2015 American Heart Association, Inc.

The Changing Dynamics of Health Care: Physician Perceptions of Technology in Medical Practices

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Hatton, Jerald D.

2012-01-01

Political, economic, and safety concerns have militated for the adoption of electronic health records (EHR) by physicians in the United States, but current rates of adoption have failed to achieve the expected levels. This qualitative phenomenological study of practicing physicians reveals obstacles to adoption. Maintaining the physicians'…

Predictors of Adoption and Reach Following Dialectical Behavior Therapy Intensive Training™.

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Navarro-Haro, Maria V; Harned, Melanie S; Korslund, Kathryn E; DuBose, Anthony; Chen, Tianying; Ivanoff, André; Linehan, Marsha M

2018-03-05

Dialectical behavior therapy (DBT) is an evidence-based treatment for borderline personality disorder. The DBT Intensive Training™ is widely used to train community clinicians to deliver DBT, but little is known about its effectiveness. This study prospectively evaluated predictors of adoption and reach of DBT among 52 community teams (212 clinicians) after DBT Intensive Training™. Pre-post training questionnaires were completed by trainees and a follow-up survey by team leaders approximately 8 months later. Overall, 75% of teams adopted all DBT modes and delivered DBT to an average of 118 clients. Lower training and program needs, fewer bachelor's-level clinicians, and greater prior DBT experience predicted adoption of more DBT modes. More prior DBT experience, smaller team size, more negative team functioning, and staff with lower job satisfaction, growth, efficacy, and influence predicted greater DBT reach. DBT Intensive Training™ appears effective in promoting DBT adoption and reach in routine clinical practice settings.

The State of Open Source Electronic Health Record Projects: A Software Anthropology Study.

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Alsaffar, Mona; Yellowlees, Peter; Odor, Alberto; Hogarth, Michael

2017-02-24

, health care providers in their careers. In addition, 45% (45/99) of developers do not work in the health care field. The research presented in this study highlights some challenges that may be hindering the future of health care F/OSS. A minority of developers have been health care professionals, and only 55% (54/99) work in the health care field. This undoubtedly limits the ability of functional design of F/OSS EHR systems from being a competitive advantage over prevailing commercial EHR systems. Open source software seems to be a significant interest to many; however, given that only four F/OSS EHR systems are ONC-certified, this interest is unlikely to yield significant adoption of these systems in the United States. Although the Health Information Technology for Economic and Clinical Health (HITECH) act was responsible for a substantial infusion of capital into the EHR marketplace, the lack of a corporate entity in most F/OSS EHR projects translates to a marginal capacity to market the respective F/OSS system and to navigate certification. This likely has further disadvantaged F/OSS EHR adoption in the United States. ©Mona Alsaffar, Peter Yellowlees, Alberto Odor, Michael Hogarth. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 24.02.2017.

National electronic medical records integration on cloud computing system.

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Mirza, Hebah; El-Masri, Samir

2013-01-01

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.

Open-Source Electronic Health Record Systems for Low-Resource Settings: Systematic Review.

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Syzdykova, Assel; Malta, André; Zolfo, Maria; Diro, Ermias; Oliveira, José Luis

2017-11-13

Despite the great impact of information and communication technologies on clinical practice and on the quality of health services, this trend has been almost exclusive to developed countries, whereas countries with poor resources suffer from many economic and social issues that have hindered the real benefits of electronic health (eHealth) tools. As a component of eHealth systems, electronic health records (EHRs) play a fundamental role in patient management and effective medical care services. Thus, the adoption of EHRs in regions with a lack of infrastructure, untrained staff, and ill-equipped health care providers is an important task. However, the main barrier to adopting EHR software in low- and middle-income countries is the cost of its purchase and maintenance, which highlights the open-source approach as a good solution for these underserved areas. The aim of this study was to conduct a systematic review of open-source EHR systems based on the requirements and limitations of low-resource settings. First, we reviewed existing literature on the comparison of available open-source solutions. In close collaboration with the University of Gondar Hospital, Ethiopia, we identified common limitations in poor resource environments and also the main requirements that EHRs should support. Then, we extensively evaluated the current open-source EHR solutions, discussing their strengths and weaknesses, and their appropriateness to fulfill a predefined set of features relevant for low-resource settings. The evaluation methodology allowed assessment of several key aspects of available solutions that are as follows: (1) integrated applications, (2) configurable reports, (3) custom reports, (4) custom forms, (5) interoperability, (6) coding systems, (7) authentication methods, (8) patient portal, (9) access control model, (10) cryptographic features, (11) flexible data model, (12) offline support, (13) native client, (14) Web client,(15) other clients, (16) code

The Adoption Process: Knowing the Experience of Adopting Families.

Directory of Open Access Journals (Sweden)

Ana Carolina Gravena Vanalli

2015-01-01

Full Text Available Adoption includes changes to both the child and the adoptive home. Seeking to know the experiences regarding adoption, the couple and the family's experiences, two adoptive mothers were interviewed. The results indicate that the integration of the adopted child was carried out in a positive way, filling an apparent empty spot, and the adopted child was considered responsible for family harmony.

Understanding Productivity and Technostress for Oncology Nurses Using an Electronic Health Record (EHR) to Increase Safety, Quality, and Effectiveness of Care for Patients with Cancer

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Evans, Elizabeth M. Wertz

2013-01-01

Health information technology has become more prevalent in hospitals, physician offices, clinics, and other areas of medical treatment, especially since the federal government passed legislation to offer incentive payments for the meaningful use of electronic health records (EHRs). Previous research demonstrated a decrease in medical errors as…

Bridging the Divide: Openness in Adoption and Post-adoption Psychosocial Adjustment among Birth and Adoptive Parents

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Ge, Xiaojia; Natsuaki, Misaki N.; Martin, David; Leve, Leslie; Neiderhiser, Jenae; Shaw, Daniel S.; Villareal, Georgette; Scaramella, Laura; Reid, John; Reiss, David

2008-01-01

Using 323 matched parties of birth mothers and adoptive parents, this study examined the association between the degree of adoption openness (e.g., contact and knowledge between parties) and birth and adoptive parents’ post-adoption adjustment shortly after the adoption placement (6 to 9 months). Data from birth fathers (N=112), an understudied sample, also were explored. Openness was assessed by multiple informants. Results indicated that openness was significantly related to satisfaction with adoption process among adoptive parents and birth mothers. Increased openness was positively associated with birth mothers’ post-placement adjustment as indexed by birth mothers’ self reports and the interviewers’ impression of birth mothers’ adjustment. Birth fathers’ report of openness was associated with their greater satisfaction with the adoption process and better post-adoption adjustment. PMID:18729667

Structured data quality reports to improve EHR data quality.

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Taggart, Jane; Liaw, Siaw-Teng; Yu, Hairong

2015-12-01

To examine whether a structured data quality report (SDQR) and feedback sessions with practice principals and managers improve the quality of routinely collected data in EHRs. The intervention was conducted in four general practices participating in the Fairfield neighborhood electronic Practice Based Research Network (ePBRN). Data were extracted from their clinical information systems and summarised as a SDQR to guide feedback to practice principals and managers at 0, 4, 8 and 12 months. Data quality (DQ) metrics included completeness, correctness, consistency and duplication of patient records. Information on data recording practices, data quality improvement, and utility of SDQRs was collected at the feedback sessions at the practices. The main outcome measure was change in the recording of clinical information and level of meeting Royal Australian College of General Practice (RACGP) targets. Birth date was 100% and gender 99% complete at baseline and maintained. DQ of all variables measured improved significantly (pImprovement was greatest with allergies. There was no significant change in duplicate records. SDQRs and feedback sessions support general practitioners and practice managers to focus on improving the recording of patient information. However, improved practice DQ, was not sufficient to meet RACGP targets. Randomised controlled studies are required to evaluate strategies to improve data quality and any associated improved safety and quality of care. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Quality and Electronic Health Records in Community Health Centers

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Lesh, Kathryn A.

2014-01-01

Adoption and use of health information technology, the electronic health record (EHR) in particular, has the potential to help improve the quality of care, increase patient safety, and reduce health care costs. Unfortunately, adoption and use of health information technology has been slow, especially when compared to the adoption and use of…

Developing the First Generally-Available openEHR Archetypes and Templates for Physiotherapy: An Example of Building Clinical Models and Modelling Capacity via Student-Led Academic-Industrial Collaboration.

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Chihab, Jamila; Franke, Hildegard; McNicoll, Ian; Darlison, Matthew W

2017-01-01

We present the first public openEHR archetypes and templates for physiotherapy, and the context of multidisciplinary academic-industry partnership that has enabled their production by a team led by a clinically trained student on the UCL health informatics MSc programme.

The Texas Adoption Project: adopted children and their intellectual resemblance to biological and adoptive parents.

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Horn, J M

1983-04-01

Intelligence test scores were obtained from parents and children in 300 adoptive families and compared with similar measures available for the biological mothers of the same adopted children. Results supported the hypothesis that genetic variability is an important influence in the development of individual differences for intelligence. The most salient finding was that adopted children resemble their biological mothers more than they resemble the adoptive parents who reared them from birth. A small subset of the oldest adopted children did not resemble their biological mothers. The suggestion that the influence of genes declines with age is treated with caution since other adoption studies report a trend in the opposite direction.

A Scalable Data Access Layer to Manage Structured Heterogeneous Biomedical Data

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Lianas, Luca; Frexia, Francesca; Zanetti, Gianluigi

2016-01-01

This work presents a scalable data access layer, called PyEHR, designed to support the implementation of data management systems for secondary use of structured heterogeneous biomedical and clinical data. PyEHR adopts the openEHR’s formalisms to guarantee the decoupling of data descriptions from implementation details and exploits structure indexing to accelerate searches. Data persistence is guaranteed by a driver layer with a common driver interface. Interfaces for two NoSQL Database Management Systems are already implemented: MongoDB and Elasticsearch. We evaluated the scalability of PyEHR experimentally through two types of tests, called “Constant Load” and “Constant Number of Records”, with queries of increasing complexity on synthetic datasets of ten million records each, containing very complex openEHR archetype structures, distributed on up to ten computing nodes. PMID:27936191

The electronic health record: a digital divide?

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Glaser, John

2007-10-01

The gap between EHR adoption among larger providers versus adoption by smaller or rural providers has caused a "digital divide" that could threaten smaller providers' survival in the years ahead. Closing this gap will require the collective action of providers, payers, and government.

A Process for the Representation of openEHR ADL Archetypes in OWL Ontologies.

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Porn, Alex Mateus; Peres, Leticia Mara; Didonet Del Fabro, Marcos

2015-01-01

ADL is a formal language to express archetypes, independent of standards or domain. However, its specification is not precise enough in relation to the specialization and semantic of archetypes, presenting difficulties in implementation and a few available tools. Archetypes may be implemented using other languages such as XML or OWL, increasing integration with Semantic Web tools. Exchanging and transforming data can be better implemented with semantics oriented models, for example using OWL which is a language to define and instantiate Web ontologies defined by W3C. OWL permits defining significant, detailed, precise and consistent distinctions among classes, properties and relations by the user, ensuring the consistency of knowledge than using ADL techniques. This paper presents a process of an openEHR ADL archetypes representation in OWL ontologies. This process consists of ADL archetypes conversion in OWL ontologies and validation of OWL resultant ontologies using the mutation test.

Process of adoption communication openness in adoptive families: adopters’ perspective

Directory of Open Access Journals (Sweden)

Maria Acciaiuoli Barbosa-Ducharne

2016-01-01

Full Text Available Abstract Communication about adoption is a family interaction process which is more than the simple exchange of information. Adoption communication can be characterized in terms of the level of openness of family conversations regarding the child’s past and the degree of the family’s adoption social disclosure. The objective of this study is to explore the process of adoption communication openness in Portuguese adoptive families by identifying the impact of variables related to the adoption process, the adoptive parenting and the adoptee. One hundred twenty five parents of children aged 3 to 15, who were adopted on average 4 years ago, participated in this study. Data was collected during home visits using the Parents Adoption Process Interview. A cluster analysis identified three different groups of families according to the level of adoption communication openness within the family and outside. The findings also showed that the process of the adoption communication openness started when parents decided to adopt, developed in parent-child interaction and was susceptible to change under professional intervention. The relevance of training given to prospective adopters and of professional practice based on scientific evidence is highlighted.

Adopted children in their adoptive families.

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Schechter, M D; Holter, F R

1975-08-01

The adoptive process can produce unusual stresses on the child, and biologic and adoptive parents, from prenatal to postnatal life, and through the various phases of physical and pscyhological development. Because of the possibility of these children and their families falling into the "at risk" category with greater potential for psychological and social problems, the pediatrician is of primary importance in diagnosis and counseling. The pediatrician can be of major help in properly diagnosing emotional, behavioral and/or learning problems occurring in adopted children. There must be a thorough evaluation of the child and his family to understand and properly treat symptomatic behavior. The pediatrician can give advice regarding developmental milestones, and especially help the adoptive parents in appreciating their conscious and unconscious attitudes so as to enhance attachment behaviors. Pediatricians are the consultants to whom parents turn for advice regarding the timing of telling about adoption. This advice needs to be individualized according to the specific child's needs. Using a developmental conceptual framework, the pediatrician is in the best position to help the parents and their adopted children with their feelings about societal attitudes and how these can most appropriately be handled. Along this line, the pediatrician can give help and advice when and if the adoptee decides to search for his biologic parents. There is a need to clarify laws which seal the original birth certificate permitting those adoptees who wish to attain a knowledge of potentially related disease processes and an identity with his own genealogical past to do so. This would also allow the adoptee to offer his own children information about their own genetic pool and an awareness of adoption as one of the most valuable and historically significant child rearing practices.

Rapid Development of Specialty Population Registries and Quality Measures from Electronic Health Record Data.

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Kannan, Vaishnavi; Fish, Jason S; Mutz, Jacqueline M; Carrington, Angela R; Lai, Ki; Davis, Lisa S; Youngblood, Josh E; Rauschuber, Mark R; Flores, Kathryn A; Sara, Evan J; Bhat, Deepa G; Willett, DuWayne L

2017-01-01

Creation of a new electronic health record (EHR)-based registry often can be a "one-off" complex endeavor: first developing new EHR data collection and clinical decision support tools, followed by developing registry-specific data extractions from the EHR for analysis. Each development phase typically has its own long development and testing time, leading to a prolonged overall cycle time for delivering one functioning registry with companion reporting into production. The next registry request then starts from scratch. Such an approach will not scale to meet the emerging demand for specialty registries to support population health and value-based care. To determine if the creation of EHR-based specialty registries could be markedly accelerated by employing (a) a finite core set of EHR data collection principles and methods, (b) concurrent engineering of data extraction and data warehouse design using a common dimensional data model for all registries, and (c) agile development methods commonly employed in new product development. We adopted as guiding principles to (a) capture data as a byproduct of care of the patient, (b) reinforce optimal EHR use by clinicians, (c) employ a finite but robust set of EHR data capture tool types, and (d) leverage our existing technology toolkit. Registries were defined by a shared condition (recorded on the Problem List) or a shared exposure to a procedure (recorded on the Surgical History) or to a medication (recorded on the Medication List). Any EHR fields needed - either to determine registry membership or to calculate a registry-associated clinical quality measure (CQM) - were included in the enterprise data warehouse (EDW) shared dimensional data model. Extract-transform-load (ETL) code was written to pull data at defined "grains" from the EHR into the EDW model. All calculated CQM values were stored in a single Fact table in the EDW crossing all registries. Registry-specific dashboards were created in the EHR to display both

Rapid Development of Specialty Population Registries and Quality Measures from Electronic Health Record Data*. An Agile Framework.

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Kannan, Vaishnavi; Fish, Jason S; Mutz, Jacqueline M; Carrington, Angela R; Lai, Ki; Davis, Lisa S; Youngblood, Josh E; Rauschuber, Mark R; Flores, Kathryn A; Sara, Evan J; Bhat, Deepa G; Willett, DuWayne L

2017-06-14

Creation of a new electronic health record (EHR)-based registry often can be a "one-off" complex endeavor: first developing new EHR data collection and clinical decision support tools, followed by developing registry-specific data extractions from the EHR for analysis. Each development phase typically has its own long development and testing time, leading to a prolonged overall cycle time for delivering one functioning registry with companion reporting into production. The next registry request then starts from scratch. Such an approach will not scale to meet the emerging demand for specialty registries to support population health and value-based care. To determine if the creation of EHR-based specialty registries could be markedly accelerated by employing (a) a finite core set of EHR data collection principles and methods, (b) concurrent engineering of data extraction and data warehouse design using a common dimensional data model for all registries, and (c) agile development methods commonly employed in new product development. We adopted as guiding principles to (a) capture data as a byproduct of care of the patient, (b) reinforce optimal EHR use by clinicians, (c) employ a finite but robust set of EHR data capture tool types, and (d) leverage our existing technology toolkit. Registries were defined by a shared condition (recorded on the Problem List) or a shared exposure to a procedure (recorded on the Surgical History) or to a medication (recorded on the Medication List). Any EHR fields needed - either to determine registry membership or to calculate a registry-associated clinical quality measure (CQM) - were included in the enterprise data warehouse (EDW) shared dimensional data model. Extract-transform-load (ETL) code was written to pull data at defined "grains" from the EHR into the EDW model. All calculated CQM values were stored in a single Fact table in the EDW crossing all registries. Registry-specific dashboards were created in the EHR to display

Open adoption of infants: adoptive parents' feelings seven years later.

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Siegel, Deborah H

2003-07-01

Adoptions today increasingly include contact between adoptive and birth families. What do these "open adoptions" look like? How do the participants feel about them? This article, based on part of a longitudinal study that first examined adoptive parents' perceptions of their infants' open adoptions seven years ago, explores the parents' reactions now that their children are school age. This qualitative descriptive research revealed changes in the openness in the adoptions over time and identified four dimensions along which open adoptions vary. Findings showed parents' enthusiasm for the openness in their adoptions, regardless of the type and extent of openness. Implications for social work practice, education, and policy are explored.

Hospitious Adoption: How Hospitality Empowers Children and Transforms Adoption

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Gritter, James L.

2009-01-01

Building on previous books by the author, "Hospitious Adoption: How Hospitality Empowers Children and Transforms Adoption" examines the next step after open adoption. Gritter takes the approach that practicing goodwill, respect, and courage within the realm of adoption makes the process move smoother and enriches children's lives. Following a…

Understanding gender differences in m-health adoption: a modified theory of reasoned action model.

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Zhang, Xiaofei; Guo, Xitong; Lai, Kee-Hung; Guo, Feng; Li, Chenlei

2014-01-01

Mobile health (m-health) services are becoming increasingly popular in healthcare, but research on m-health adoption is rare. This study was designed to obtain a better understanding of m-health adoption intention. We conducted an empirical research of a 481-respondent sample consisting of 44.7% women and 55.3% men and developed a modified theory of reasoned action (TRA) model by incorporating the nonlinearities between attitude and subjective norms and the moderating effect of gender. The results indicate that, based on the study population in China: (1) facilitating conditions, attitude, and subjective norms are significant predictors of m-health adoption intention; (2) the model including the nonlinearities enhances its explanatory ability; (3) males enjoy a higher level of m-health adoption intention compared with females; (4) the modified TRA model can predict men's behavior intention better than that of women; and (5) males have an Edgeworth-Pareto substitutability between attitude and subjective norms in predicting m-health adoption intention. Thus, we found gender differences in m-health adoption from the perspective of social psychology.

Usability Testing of a Complex Clinical Decision Support Tool in the Emergency Department: Lessons Learned.

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Press, Anne; McCullagh, Lauren; Khan, Sundas; Schachter, Andy; Pardo, Salvatore; McGinn, Thomas

2015-09-10

As the electronic health record (EHR) becomes the preferred documentation tool across medical practices, health care organizations are pushing for clinical decision support systems (CDSS) to help bring clinical decision support (CDS) tools to the forefront of patient-physician interactions. A CDSS is integrated into the EHR and allows physicians to easily utilize CDS tools. However, often CDSS are integrated into the EHR without an initial phase of usability testing, resulting in poor adoption rates. Usability testing is important because it evaluates a CDSS by testing it on actual users. This paper outlines the usability phase of a study, which will test the impact of integration of the Wells CDSS for pulmonary embolism (PE) diagnosis into a large urban emergency department, where workflow is often chaotic and high stakes decisions are frequently made. We hypothesize that conducting usability testing prior to integration of the Wells score into an emergency room EHR will result in increased adoption rates by physicians. The objective of the study was to conduct usability testing for the integration of the Wells clinical prediction rule into a tertiary care center's emergency department EHR. We conducted usability testing of a CDS tool in the emergency department EHR. The CDS tool consisted of the Wells rule for PE in the form of a calculator and was triggered off computed tomography (CT) orders or patients' chief complaint. The study was conducted at a tertiary hospital in Queens, New York. There were seven residents that were recruited and participated in two phases of usability testing. The usability testing employed a "think aloud" method and "near-live" clinical simulation, where care providers interacted with standardized patients enacting a clinical scenario. Both phases were audiotaped, video-taped, and had screen-capture software activated for onscreen recordings. Phase I: Data from the "think-aloud" phase of the study showed an overall positive outlook on

The Challenges of Electronic Health Records and Diabetes Electronic Prescribing: Implications for Safety Net Care for Diverse Populations

Directory of Open Access Journals (Sweden)

Neda Ratanawongsa

2017-01-01

Full Text Available Widespread electronic health record (EHR implementation creates new challenges in the diabetes care of complex and diverse populations, including safe medication prescribing for patients with limited health literacy and limited English proficiency. This review highlights how the EHR electronic prescribing transformation has affected diabetes care for vulnerable patients and offers recommendations for improving patient safety through EHR electronic prescribing design, implementation, policy, and research. Specifically, we present evidence for (1 the adoption of RxNorm; (2 standardized naming and picklist options for high alert medications such as insulin; (3 the widespread implementation of universal medication schedule and language-concordant labels, with the expansion of electronic prescription 140-character limit; (4 enhanced bidirectional communication with pharmacy partners; and (5 informatics and implementation research in safety net healthcare systems to examine how EHR tools and practices affect diverse vulnerable populations.

Creating grander families: older adults adopting younger kin and nonkin.

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Hinterlong, James; Ryan, Scott

2008-08-01

There is a dearth of research on older adoptive parents caring for minor children, despite a growing number of such adoptions finalized each year. This study offers a large-scale investigation of adoptive families headed by older parents. We describe these families and explore how preadoptive kinship between the adoptive parent and the child impacts adoption outcomes. We analyze data from kin (n = 98) and nonkin (n = 310) adoptive families headed by adults aged 60 years and older. We find that older kin adoptive families are smaller, report lower income, and include adoptive mothers with less formal education. Children in these families had less severe needs for special care at the time of placement. Although kin and nonkin older parents offer similar assessments of their parent-child relationships, kin adopters indicate a greater willingness to adopt the same child again and yet report less positive current family functioning. Multivariate regression analyses reveal that preadoptive kinship predicts more negative parental assessment of the adoption's impact on the family and less positive family functioning net of other parent, family, and child characteristics. Externalizing behavior by the child (e.g., delinquency or aggression) is the strongest predictor of deleterious outcomes for both groups. Kin adoption by older adults creates new families under strain but does not reduce parental commitment to the child. We conclude that older adults serve as effective adoptive parents but would benefit from preadoption and postadoption services to assist them in preparing for and positively addressing the challenging behaviors exhibited by adopted children.

A systematic literature review on security and privacy of electronic health record systems: technical perspectives.

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Rezaeibagha, Fatemeh; Win, Khin Than; Susilo, Willy

Even though many safeguards and policies for electronic health record (EHR) security have been implemented, barriers to the privacy and security protection of EHR systems persist. This article presents the results of a systematic literature review regarding frequently adopted security and privacy technical features of EHR systems. Our inclusion criteria were full articles that dealt with the security and privacy of technical implementations of EHR systems published in English in peer-reviewed journals and conference proceedings between 1998 and 2013; 55 selected studies were reviewed in detail. We analysed the review results using two International Organization for Standardization (ISO) standards (29100 and 27002) in order to consolidate the study findings. Using this process, we identified 13 features that are essential to security and privacy in EHRs. These included system and application access control, compliance with security requirements, interoperability, integration and sharing, consent and choice mechanism, policies and regulation, applicability and scalability and cryptography techniques. This review highlights the importance of technical features, including mandated access control policies and consent mechanisms, to provide patients' consent, scalability through proper architecture and frameworks, and interoperability of health information systems, to EHR security and privacy requirements.

Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters

Directory of Open Access Journals (Sweden)

Arron Lacey

2017-04-01

Clix Enrich can be used to accurately extract SNOMED concepts from clinical letters. The resulting datasets are readily available to link to existing EHRs, and can be linked to EHRs that adopt the SNOMED coding structure, or backward compatible hierarchies. Clix Enrich comes with out-of-the-box extraction methods but the optimum way to extract the correct information would be to build in custom queries, thus requiring clinical expertise to validate extraction.

The adolescence of electronic health records: Status and perspectives for large scale implementation

Directory of Open Access Journals (Sweden)

Andreas Drauschke

2013-06-01

Full Text Available Health informatics started to evolve decades ago with the intention to support healthcare using computers. Since then Electronic health records (EHRs and personal health records (PHRs have become available but widespread adoption was limited by lack of interoperability and security issues. This paper discusses the feasibility of interoperable standards based EHRs and PHRs drawing on experience from implementation projects. It outlines challenges and goals in education and implementation for the next years.

Anticipated affective consequences of physical activity adoption and maintenance.

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Dunton, Genevieve Fridlund; Vaughan, Elaine

2008-11-01

The expected emotional consequences of future actions are thought to play an important role in health behavior change. This research examined whether anticipated affective consequences of success and failure vary across stages of physical activity change and differentially predict physical activity adoption as compared to maintenance. Using a prospective design over a 3-month period, a community sample of 329 healthy, middle-aged adults were assessed at 2 time points. Anticipated positive and negative emotions, stage of behavior change (precontemplation [PC], contemplation [C], preparation [P], action [A], maintenance [M]), and level of physical activity. At baseline, anticipated positive emotions were greater in C versus PC, whereas anticipated negative emotions were greater in M versus A and in M versus P. Higher anticipated positive but not negative emotions predicted physical activity adoption and maintenance after 3 months. Although the expected affective consequences of future success and failure differentiated among individuals in the early and later stages of physical activity change, respectively; only the anticipated affective consequences of success predicted future behavior.

Thinking About Adoption

Science.gov (United States)

... asked questions. Q: I think I want to adopt. Where do I begin?​ A: Thinking about adoption ... through adoption. Learn more about their How-to-Adopt and Adoption Parenting Network . Q: What are the ...

Forecasting success via early adoptions analysis: A data-driven study.

Directory of Open Access Journals (Sweden)

Giulio Rossetti

Full Text Available Innovations are continuously launched over markets, such as new products over the retail market or new artists over the music scene. Some innovations become a success; others don't. Forecasting which innovations will succeed at the beginning of their lifecycle is hard. In this paper, we provide a data-driven, large-scale account of the existence of a special niche among early adopters, individuals that consistently tend to adopt successful innovations before they reach success: we will call them Hit-Savvy. Hit-Savvy can be discovered in very different markets and retain over time their ability to anticipate the success of innovations. As our second contribution, we devise a predictive analytical process, exploiting Hit-Savvy as signals, which achieves high accuracy in the early-stage prediction of successful innovations, far beyond the reach of state-of-the-art time series forecasting models. Indeed, our findings and predictive model can be fruitfully used to support marketing strategies and product placement.

Forecasting success via early adoptions analysis: A data-driven study.

Science.gov (United States)

Rossetti, Giulio; Milli, Letizia; Giannotti, Fosca; Pedreschi, Dino

2017-01-01

Innovations are continuously launched over markets, such as new products over the retail market or new artists over the music scene. Some innovations become a success; others don't. Forecasting which innovations will succeed at the beginning of their lifecycle is hard. In this paper, we provide a data-driven, large-scale account of the existence of a special niche among early adopters, individuals that consistently tend to adopt successful innovations before they reach success: we will call them Hit-Savvy. Hit-Savvy can be discovered in very different markets and retain over time their ability to anticipate the success of innovations. As our second contribution, we devise a predictive analytical process, exploiting Hit-Savvy as signals, which achieves high accuracy in the early-stage prediction of successful innovations, far beyond the reach of state-of-the-art time series forecasting models. Indeed, our findings and predictive model can be fruitfully used to support marketing strategies and product placement.

Adoption

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... a relative, foster parent, or a completely new family. An adoptive family might be a single parent, a couple, or ... doesn't mean they don't love their adoptive family or feel close to them. This curiosity, which ...

Adopters and non-adopters of Internet banking: A segmentation study

OpenAIRE

Patsiotis, A.; Hughes, T.; Webber, D. J.

2012-01-01

Purpose – This study examines Internet banking adoption and resistance behaviour in Greece in order to develop profiles of adopters and non-adopters of the service. The aim is to illustrate customers’ resistance behaviour towards Internet banking. Existing research does not explain resistance behaviour, since it does not clearly distinguish non-adoption from resistance. Consequently, it has not recognized the different types of non-adoption.\\ud Design/methodology/approach – A measuring instru...

Determination of Minimum Data Set (MSD) in Echocardiography Reporting System to Exchange with Iran's Electronic Health Record (EHR) System.

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Mahmoudvand, Zahra; Kamkar, Mehran; Shahmoradi, Leila; Nejad, Ahmadreza Farzaneh

2016-04-01

Determination of minimum data set (MDS) in echocardiography reports is necessary for documentation and putting information in a standard way, and leads to the enhancement of electrocardiographic studies through having access to precise and perfect reports and also to the development of a standard database for electrocardiographic reports. to determine the minimum data set of echocardiography reporting system to exchange with Iran's electronic health record (EHR) system. First, a list of minimum data set was prepared after reviewing texts and studying cardiac patients' records. Then, to determine the content validity of the prepared MDS, the expert views of 10 cardiologists and 10 health information management (HIM) specialists were obtained; to estimate the reliability of the set, test-retest method was employed. Finally, the data were analyzed using SPSS software. The highest degree of consensus was found for the following MDSs: patient's name and family name (5), accepting doctor's name and family name, familial death records due to cardiac disorders, the image identification code, mitral valve, aortic valve, tricuspid valve, pulmonary valve, left ventricle, hole, atrium valve, Doppler examination of ventricular and atrial movement models and diagnoses with an average of. To prepare a model of echocardiography reporting system to exchange with EHR system, creation a standard data set is the vital point. Therefore, based on the research findings, the minimum reporting system data to exchange with Iran's electronic health record system include information on entity, management, medical record, carried-out acts, and the main content of the echocardiography report, which the planners of reporting system should consider.

Healthy depictions? Depicting adoption and adoption news events on broadcast news.

Science.gov (United States)

Kline, Susan L; Chatterjee, Karishma; Karel, Amanda I

2009-01-01

Given that the public uses the media to learn about adoption as a family form, this study analyzes U.S. television news coverage of adoption between 2001 and 2005 (N = 309 stories), to identify the types of news events covered about adoption. A majority of news stories covered fraud, crime, legal disputes, and negative international adoption cases. Adoptees as defective or unhealthy were depicted more in negative news event stories, birth parents appeared less overall, and adoptive parents were most likely to have healthy depictions in positively oriented adoption experience, big family, and reunion stories. Although three quarters of the stories used primary adoption participants as news sources, one-third of the negative event stories did not contain healthy depictions of adoption participants. The authors discuss ways journalists and researchers might improve adoption news coverage.

Age at placement, adoption experience and adult adopted people's contact with their adoptive and birth mothers: an attachment perspective.

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Howe, D

2001-09-01

Adoption holds particular interest for attachment researchers. Although children adopted as babies experience almost continuous care by their adoptive parents, older placed children experience at least one major change of caregiver when they join their adoptive family. Moreover, in the majority of cases, older placed children have generally suffered a pre-adoption history of abuse, neglect and/or rejection. It is now being recognized that older placed children's attachment histories and internal working models (IWMs) established in relationship with their initial carers remain active in relationship with their new carers. Transactional models have helped both researchers and practitioners to understand the dynamics of parent-child relationships in cases where insecure children with histories of neglect, abuse and rejection find themselves in new caregiving environments. The present study examines the childhood experiences of adult adopted people and their current levels of contact with their adoptive mothers, and in cases where people had searched for and found a birth relative, current levels of contact with their birth mother. Although no information was collected on the adopted adult's pre-placement history, age at placement was used as a proxy measure to examine whether older placed children reported different adoption experiences and what their current levels of contact were with their adoptive and birth mothers. The findings show that age at placement was associated with adopted people's reported experiences of being adopted and current rates of contact with their adoptive and birth mothers, with those placed at older ages most likely to report that they (1) did not feel they belonged in their adoptive families while growing up, (2) did not feel loved by their adoptive mother, (3) were least likely to remain in high-frequency contact with their adoptive mother, and (4) were least likely to remain in high-frequency contact with their birth mother. An

Critical Factors for Personal Cloud Storage Adoption in China

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Jianya Wang

2016-06-01

Full Text Available Purpose: In order to explain and predict the adoption of personal cloud storage, this study explores the critical factors involved in the adoption of personal cloud storage and empirically validates their relationships to a user's intentions. Design/methodology/approach: Based on technology acceptance model (TAM, network externality, trust, and an interview survey, this study proposes a personal cloud storage adoption model. We conducted an empirical analysis by structural equation modeling based on survey data obtained with a questionnaire. Findings: Among the adoption factors we identified, network externality has the salient influence on a user's adoption intention, followed by perceived usefulness, individual innovation, perceived trust, perceived ease of use, and subjective norms. Cloud storage characteristics are the most important indirect factors, followed by awareness to personal cloud storage and perceived risk. However, although perceived risk is regarded as an important factor by other cloud computing researchers, we found that it has no significant influence. Also, subjective norms have no significant influence on perceived usefulness. This indicates that users are rational when they choose whether to adopt personal cloud storage. Research limitations: This study ignores time and cost factors that might affect a user's intention to adopt personal cloud storage. Practical implications: Our findings might be helpful in designing and developing personal cloud storage products, and helpful to regulators crafting policies. Originality/value: This study is one of the first research efforts that discuss Chinese users' personal cloud storage adoption, which should help to further the understanding of personal cloud adoption behavior among Chinese users.

Pediatric aspects of inpatient health information technology systems.

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Lehmann, Christoph U

2015-03-01

In the past 3 years, the Health Information Technology for Economic and Clinical Health Act accelerated the adoption of electronic health records (EHRs) with providers and hospitals, who can claim incentive monies related to meaningful use. Despite the increase in adoption of commercial EHRs in pediatric settings, there has been little support for EHR tools and functionalities that promote pediatric quality improvement and patient safety, and children remain at higher risk than adults for medical errors in inpatient environments. Health information technology (HIT) tailored to the needs of pediatric health care providers can improve care by reducing the likelihood of errors through information assurance and minimizing the harm that results from errors. This technical report outlines pediatric-specific concepts, child health needs and their data elements, and required functionalities in inpatient clinical information systems that may be missing in adult-oriented HIT systems with negative consequences for pediatric inpatient care. It is imperative that inpatient (and outpatient) HIT systems be adapted to improve their ability to properly support safe health care delivery for children. Copyright © 2015 by the American Academy of Pediatrics.

[Perception of parental socialization strategies in adoptive and non-adoptive families].

Science.gov (United States)

Bernedo Muñoz, Isabel María; Fuentes Rebollo, María Jesús; Fernández-Molina, M; Bersabé Morán, Rosa

2007-11-01

Although parental socialization styles have been investigated in recent years, little research has been carried out on the issue of parental styles in adoptive families. The aim of this research is to analyse parental styles both from the point of view of the parents and of adopted and non-adopted adolescents, taking as covariables the adolescents' sex and age. The sample was made up of 55 adopted adolescents (20 boys and 35 girls with an age range of 11-17 years) and their 55 adoptive parents, and 402 non-adopted adolescents (200 boys and 202 girls with an age range of 11-17 years), and their 258 parents. Two scales evaluated parental styles: the Affect Scale and the Rules and Demands Scale. The results showed that, both from the point of view of the parents and of the adolescents, adoptive families are more affective, communicative and inductive, and less critical and indulgent than non-adoptive families. No differences were found between adopted and non-adopted adolescents on the Parents' Rigidity Scale.

Modeling the adoption of innovations in the presence of geographic and media influences.

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Toole, Jameson L; Cha, Meeyoung; González, Marta C

2012-01-01

While there is a large body of work examining the effects of social network structure on innovation adoption, models to date have lacked considerations of real geography or mass media. In this article, we show these features are crucial to making more accurate predictions of a social contagion and technology adoption at a city-to-city scale. Using data from the adoption of the popular micro-blogging platform, Twitter, we present a model of adoption on a network that places friendships in real geographic space and exposes individuals to mass media influence. We show that homophily both among individuals with similar propensities to adopt a technology and geographic location is critical to reproducing features of real spatiotemporal adoption. Furthermore, we estimate that mass media was responsible for increasing Twitter's user base two to four fold. To reflect this strength, we extend traditional contagion models to include an endogenous mass media agent that responds to those adopting an innovation as well as influencing agents to adopt themselves.

Modification of the Feline-Ality™ Assessment and the Ability to Predict Adopted Cats’ Behaviors in Their New Homes

OpenAIRE

Weiss, Emily; Gramann, Shannon; Drain, Natasha; Dolan, Emily; Slater, Margaret

2015-01-01

Simple Summary While millions of cats enter animal shelters every year, only 11.5% of pet cats are obtained from a shelter in the United States. Previous research has indicated that unrealistic expectations set by adopters can increase the chances of an adopted cat returning to the shelter. The ASPCA®’s Meet Your Match® Feline-ality™ adoption program was designed to provide adopters with accurate information about an adult cat’s future behavior in the home. This research explored the ability ...

Electronic Health Records Data and Metadata: Challenges for Big Data in the United States.

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Sweet, Lauren E; Moulaison, Heather Lea

2013-12-01

This article, written by researchers studying metadata and standards, represents a fresh perspective on the challenges of electronic health records (EHRs) and serves as a primer for big data researchers new to health-related issues. Primarily, we argue for the importance of the systematic adoption of standards in EHR data and metadata as a way of promoting big data research and benefiting patients. EHRs have the potential to include a vast amount of longitudinal health data, and metadata provides the formal structures to govern that data. In the United States, electronic medical records (EMRs) are part of the larger EHR. EHR data is submitted by a variety of clinical data providers and potentially by the patients themselves. Because data input practices are not necessarily standardized, and because of the multiplicity of current standards, basic interoperability in EHRs is hindered. Some of the issues with EHR interoperability stem from the complexities of the data they include, which can be both structured and unstructured. A number of controlled vocabularies are available to data providers. The continuity of care document standard will provide interoperability in the United States between the EMR and the larger EHR, potentially making data input by providers directly available to other providers. The data involved is nonetheless messy. In particular, the use of competing vocabularies such as the Systematized Nomenclature of Medicine-Clinical Terms, MEDCIN, and locally created vocabularies inhibits large-scale interoperability for structured portions of the records, and unstructured portions, although potentially not machine readable, remain essential. Once EMRs for patients are brought together as EHRs, the EHRs must be managed and stored. Adequate documentation should be created and maintained to assure the secure and accurate use of EHR data. There are currently a few notable international standards initiatives for EHRs. Organizations such as Health Level Seven

Active Drivers of Adoption of Internet Banking

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Pankaj Yadav

2016-05-01

Full Text Available Application of internet by banking sector in India has changed the definition of banking completely. The management of different banks has been making concrete efforts to facilitate the acceptance of i-banking by bringing out its benefits to the customers. This paper identifies the active factors that influence customers intention regarding use of internet banking in Himachal Pradesh  Data was collected from a sample of 120 respondents through a well structured questionnaire. The data was collected from Government employees of Shimla district of Himachal Pradesh by asking close ended questions regarding their attitude towards i-banking and their future intention about its use . For analysing and interpreting data in the present study, basic statistical tools, chi-square test (test of independence and logistical regression analysis was used with the help of SPSS 16.0 version. Out of seven factors i.e., perceived risk, perceived usefulness,  perceived quality of service, Perceived cost, Perceived ease of use, trust and awareness, three significant factors i.e., perceived risk, perceived usefulness  and perceived quality of service have been identified that actively influence future adoption intention to adopt internet banking . Further the study exhibited that perceived usefulness and perceived quality of service positively influence the intention to adopt i-banking while perceived risk negatively affect the future adoption intention of i-banking. This  model has the overall predictability of classifying 76.7 % cases correctly and exhibited that 87.2 % customers are classified for adopting i-banking service whereas 57.1 % customers for not having intention to use it in future

'Adoption and attachment theory' the attachment models of adoptive mothers and the revision of attachment patterns of their late-adopted children.

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Pace, C S; Zavattini, G C

2011-01-01

This study examined the attachment patterns of late-adopted children (aged 4-7) and their adoptive mothers during the first 7- to 8-month period after adoption and aimed to evaluate the effect of adoptive mothers' attachment security on the revision of the attachment patterns of their late-adopted children. We assessed attachment patterns in 20 adoptive dyads and 12 genetically related dyads at two different times: T1 (time 1) within 2 months of adoption and T2 (time 2) 6 months after T1. The children's behavioural attachment patterns were assessed using the Separation-Reunion Procedure and the children's representational (verbal) attachment patterns using the Manchester Child Attachment Story Task. The attachment models of the adoptive mothers were classified using the Adult Attachment Interview. We found that there was a significant enhancement of the late-adopted children's attachment security across the time period considered (P= 0.008). Moreover, all the late-adopted children who showed a change from insecurity to security had adoptive mothers with secure attachment models (P= 0.044). However, the matching between maternal attachment models and late-adopted children's attachment patterns (behaviours and representations) was not significant. Our data suggest that revision of the attachment patterns in the late-adopted children is possible but gradual, and that the adoptive mothers' attachment security makes it more likely to occur. © 2010 Blackwell Publishing Ltd.

Awareness And Perception Of Nurses Towards E – Health Records: A Hospital Study

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Roopalekha Jathanna

2017-07-01

Full Text Available As a part of pre-implementation of Electronic Health Record (EHR as communicating tool, the study aims at investigating the awareness, perception, and usability of EHR among nurses working in 2032 bedded hospital in southern India. A cross sectional descriptive study with convenient sampling method of 296 nurses was used. The validated questionnaire contained questions related to perception of the nurses about the existing system of record keeping and their effect on patient care; Usefulness of EMR for their practice; relative important of features of EMR; acceptance level and training needs. For analysis SPSS 10.0 version was used. The results of this study is promising in terms of nurses’ views for adoption of EHR. Also, suggests, nurses are beginning to perceive benefits in areas of quality in decision making; patient care and practice; enhance timely access to medical records; efficiency; productivity. Strategies are needed for improving the EHR knowledge among nurses who have a negative perception of and attitude towards it.

Electronic health records and technical assistance to improve quality of primary care: Lessons for regional extension centers.

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Boas, Samuel J; Bishop, Tara F; Ryan, Andrew M; Shih, Sarah C; Casalino, Lawrence P

2014-07-01

In 2009, the American Recovery and Reinvestment Act apportioned $643 million for a Health Information Technology Extension Program, which established Regional Extension Centers (RECs) to support the implementation and use of electronic health records (EHRs). Little is known, however, about how RECs should assist in EHR implementation and how they should structure ongoing support. The purpose of this paper is to describe physicians' experiences with the Primary Care Information Project (PCIP), an REC run by the New York City Department of Health and Mental Hygiene. We interviewed 17 physicians enrolled in PCIP to understand the role of the EHRon quality of care and their experience with technical assistance from PCIP. All physicians stated that they felt that the EHR improved the quality of care they delivered to their patients particularly because it helped them track patients. All the physicians found technical assistance helpful but most wanted ongoing assistance months or years after they adopted the EHR. © 2013 Published by Elsevier Inc.

Electronic Health Records in the Cloud: Improving Primary Health Care Delivery in South Africa.

Science.gov (United States)

Cilliers, Liezel; Wright, Graham

2017-01-01

In South Africa, the recording of health data is done manually in a paper-based file, while attempts to digitize healthcare records have had limited success. In many countries, Electronic Health Records (EHRs) has developed in silos, with little or no integration between different operational systems. Literature has provided evidence that the cloud can be used to 'leapfrog' some of these implementation issues, but the adoption of this technology in the public health care sector has been very limited. This paper aims to identify the major reasons why the cloud has not been used to implement EHRs for the South African public health care system, and to provide recommendations of how to overcome these challenges. From the literature, it is clear that there are technology, environmental and organisational challenges affecting the implementation of EHRs in the cloud. Four recommendations are provided that can be used by the National Department of Health to implement EHRs making use of the cloud.

Ethical issues in electronic health records: A general overview

Directory of Open Access Journals (Sweden)

Fouzia F Ozair

2015-01-01

Full Text Available Electronic health record (EHR is increasingly being implemented in many developing countries. It is the need of the hour because it improves the quality of health care and is also cost-effective. Technologies can introduce some hazards hence safety of information in the system is a real challenge. Recent news of security breaches has put a question mark on this system. Despite its increased usefulness, and increasing enthusiasm in its adoption, not much attention is being paid to the ethical issues that might arise. Securing EHR with an encrypted password is a probable option. The purpose of this article is to discuss the various ethical issues arising in the use of the EHRs and their possible solutions.

A market modeling review study on predicting Malaysian consumer behavior towards widespread adoption of PHEV/EV.

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Adnan, Nadia; Nordin, Shahrina Mohammad; Rahman, Imran; Amini, Mohammad Hadi

2017-08-01

With the rising concern about climate change, there has been an increased public awareness that has resulted in new government policies to support scientific research for mitigating these problems. Malaysia is among the major energy-intense countries and is under an excessive burden to advance its energy efficiency and to also work towards the reduction of its carbon emission. Plug-in hybrid electric vehicles (PHEVs) have the potential to lessen the carbon emission and gasoline consumption in order to alleviate environmental problems. Most of the energy problems linked to the increasing transportation pollution are now being reduced with the solution of the adoption of PHEVs. PHEVs are seen as a solution to cut carbon emission, which prevents environmental damages. Furthermore, PHEVs' driving range and performance can be comparable to the other hybrid vehicles as well as the conventional IC engines that have gasoline and diesel tanks. Thus, many efforts are being initiated to promote the use of PHEVs as an innovative and affordable transportation system. In order to achieve making the consumers aware of the adoption of PHEVs, we used a model which is based on the extended theory of planned behavior (TPB). This review is based on the factors affecting the adoption of PHEVs among Malaysian consumers. The model takes into account the ten key features that influence the adoption of PHEVs, such as environmental concern, personal norm, attitude, vehicle ownership costs, driving range, charging time, intention, subjective norm, perceived behavioral control, and personal norm. All these constructs are drivers towards the adoption of PHEVs. These factors affect the relationship between the adoption of PHEVs and how consumers intend to protect the environment. This review is based on improving how the "attitude-action" gap is understood as it is an important element for further studies on PHEVs. The aim of the research is to come up with a framework that examines how to

Correlates and predictors of parenting stress among internationally adopting mothers: A longitudinal investigation.

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Viana, Andres G; Welsh, Janet A

2010-07-01

This study examined correlates and predictors of parenting stress among internationally adopting (IA) mothers with the goal of expanding the knowledge base on the experiences of adoptive parents. One hundred and forty-three IA mothers completed pre-adoption (Time 0) and six months post-adoption (Time 1) surveys with questions regarding child-, parent-, and family-related characteristics. Mother reports of higher depression symptoms, higher expectations of child developmental and behavioral/emotional problems, and a greater number of children in the family at pre-adoption were significantly related to higher parenting stress six months post-adoption. In contrast, mother reports of higher expectations for child acceptance and higher perceived social support at pre-adoption were significantly related to lower parenting stress six months post-adoption. Higher maternal depression symptoms, higher expectations of child behavior/emotional problems, and a greater number of children in the family at pre-adoption together accounted for 22% of the variance in parenting stress six months post-adoption. Concurrent higher maternal depression symptoms and higher reports of child behavioral/emotional problems predicted higher parenting stress six months post-adoption over and above pre-adoption predictors, and accounted for an additional 33% of the variance. Results and directions for future research are discussed from a transactional perspective, with particular emphasis on the importance of pre-adoptive information for adoption research and practice.

Modeling the adoption of innovations in the presence of geographic and media influences.

Directory of Open Access Journals (Sweden)

Jameson L Toole

Full Text Available While there is a large body of work examining the effects of social network structure on innovation adoption, models to date have lacked considerations of real geography or mass media. In this article, we show these features are crucial to making more accurate predictions of a social contagion and technology adoption at a city-to-city scale. Using data from the adoption of the popular micro-blogging platform, Twitter, we present a model of adoption on a network that places friendships in real geographic space and exposes individuals to mass media influence. We show that homophily both among individuals with similar propensities to adopt a technology and geographic location is critical to reproducing features of real spatiotemporal adoption. Furthermore, we estimate that mass media was responsible for increasing Twitter's user base two to four fold. To reflect this strength, we extend traditional contagion models to include an endogenous mass media agent that responds to those adopting an innovation as well as influencing agents to adopt themselves.

International Adoption: Issues of Acknowledgement of Adoption and Birth Culture.

Science.gov (United States)

Trolley, Barbara C.; And Others

1995-01-01

Families who adopt children internationally are faced with not only the acknowledgement of the adoption but also the recognition of the child's birth culture. Thirty-four families were surveyed to assess issues regarding the relevance, frequency, and means of acknowledgement of the adoption and of the birth culture. Findings suggest ways adoption…

Identification of factors that affect the adoption of an ergonomic intervention among Emergency Medical Service workers.

Science.gov (United States)

Weiler, Monica R; Lavender, Steven A; Crawford, J Mac; Reichelt, Paul A; Conrad, Karen M; Browne, Michael W

2012-01-01

This study explored factors contributing to intervention adoption decisions among Emergency Medical Service (EMS) workers. Emergency Medical Service workers (n = 190), from six different organisations, participated in a two-month longitudinal study following the introduction of a patient transfer-board (also known as slide-board) designed to ease lateral transfers of patients to and from ambulance cots. Surveys administered at baseline, after one month and after two months sampled factors potentially influencing the EMS providers' decision process. 'Ergonomics Advantage' and 'Patient Advantage' entered into a stepwise regression model predicting 'intention to use' at the end of month one (R (2 )= 0.78). After the second month, the stepwise regression indicated only two factors were predictive of intention to use: 'Ergonomics Advantage,' and 'Endorsed by Champions' (R (2 )= 0.58). Actual use was predicted by: 'Ergonomics Advantage' and 'Previous Tool Experience.' These results relate to key concepts identified in the diffusion of innovation literature and have the potential to further ergonomics intervention adoption efforts. Practitioner Summary. This study explored factors that potentially facilitate the adoption of voluntarily used ergonomics interventions. EMS workers were provided with foldable transfer-boards (slideboards) designed to reduce the physical demands when laterally transferring patients. Factors predictive of adoption measures included perceived ergonomics advantage, the endorsement by champions, and prior tool experience.

Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges.

Science.gov (United States)

Amarasingham, Ruben; Audet, Anne-Marie J; Bates, David W; Glenn Cohen, I; Entwistle, Martin; Escobar, G J; Liu, Vincent; Etheredge, Lynn; Lo, Bernard; Ohno-Machado, Lucila; Ram, Sudha; Saria, Suchi; Schilling, Lisa M; Shahi, Anand; Stewart, Walter F; Steyerberg, Ewout W; Xie, Bin

2016-01-01

The recent explosion in available electronic health record (EHR) data is motivating a rapid expansion of electronic health care predictive analytic (e-HPA) applications, defined as the use of electronic algorithms that forecast clinical events in real time with the intent to improve patient outcomes and reduce costs. There is an urgent need for a systematic framework to guide the development and application of e-HPA to ensure that the field develops in a scientifically sound, ethical, and efficient manner. Building upon earlier frameworks of model development and utilization, we identify the emerging opportunities and challenges of e-HPA, propose a framework that enables us to realize these opportunities, address these challenges, and motivate e-HPA stakeholders to both adopt and continuously refine the framework as the applications of e-HPA emerge. To achieve these objectives, 17 experts with diverse expertise including methodology, ethics, legal, regulation, and health care delivery systems were assembled to identify emerging opportunities and challenges of e-HPA and to propose a framework to guide the development and application of e-HPA. The framework proposed by the panel includes three key domains where e-HPA differs qualitatively from earlier generations of models and algorithms (Data Barriers, Transparency, and ETHICS) and areas where current frameworks are insufficient to address the emerging opportunities and challenges of e-HPA (Regulation and Certification; and Education and Training). The following list of recommendations summarizes the key points of the framework: Data Barriers: Establish mechanisms within the scientific community to support data sharing for predictive model development and testing.Transparency: Set standards around e-HPA validation based on principles of scientific transparency and reproducibility. Develop both individual-centered and society-centered risk-benefit approaches to evaluate e-HPA.Regulation and Certification: Construct a

Motivations for enterprise system adoption in transition economies: insights from Poland

Science.gov (United States)

Soja, Piotr; Weistroffer, Heinz Roland

2016-06-01

Enterprise system (ES) adoption can bring many benefits, but may also put tremendous strain on an organisation or business, sometimes with disastrous outcomes. The specific motivations and expectations that lead to ES adoption may impact the success or failure of these endeavours, and understanding these motivations may be useful in predicting the success of ES projects. Most of the published research on ES adoption motivation has been in the context of highly developed countries. The social, cultural, economic and political conditions in developing, emerging and transition economies make for a different business environment, and insights obtained from developed countries may not always transfer to these settings. This study seeks to identify and help understand the motivations for ES adoption specifically in transition economies, as these economies play a significant role in the global market, but have not been receiving adequate research attention. Drawing on the experience of 129 ES adopters in Poland, a transition economy, this study categorises motivations into coherent groups of issues and evaluates the influence of discovered motivations on ES adoption success. Further, motivations revealed by this study are compared with motivations reported by prior research conducted in developed countries.

Use and Characteristics of Electronic Health Record Systems among Office-Based Physician Practices: United States, ...

Science.gov (United States)

... the National Technical Information Service NCHS Use and Characteristics of Electronic Health Record Systems Among Office-based ... physicians that collects information on physician and practice characteristics, including the adoption and use of EHR systems. ...

The Adoption of Grid Computing Technology by Organizations: A Quantitative Study Using Technology Acceptance Model

Science.gov (United States)

Udoh, Emmanuel E.

2010-01-01

Advances in grid technology have enabled some organizations to harness enormous computational power on demand. However, the prediction of widespread adoption of the grid technology has not materialized despite the obvious grid advantages. This situation has encouraged intense efforts to close the research gap in the grid adoption process. In this…

Determination of Minimum Data Set (MSD) in Echocardiography Reporting System to Exchange with Iran’s Electronic Health Record (EHR) System

Science.gov (United States)

Mahmoudvand, Zahra; Kamkar, Mehran; Shahmoradi, Leila; Nejad, Ahmadreza Farzaneh

2016-01-01

Background: Determination of minimum data set (MDS) in echocardiography reports is necessary for documentation and putting information in a standard way, and leads to the enhancement of electrocardiographic studies through having access to precise and perfect reports and also to the development of a standard database for electrocardiographic reports. Aim: to determine the minimum data set of echocardiography reporting system to exchange with Iran’s electronic health record (EHR) system. Methods: First, a list of minimum data set was prepared after reviewing texts and studying cardiac patients’ records. Then, to determine the content validity of the prepared MDS, the expert views of 10 cardiologists and 10 health information management (HIM) specialists were obtained; to estimate the reliability of the set, test-retest method was employed. Finally, the data were analyzed using SPSS software. Results: The highest degree of consensus was found for the following MDSs: patient’s name and family name (5), accepting doctor’s name and family name, familial death records due to cardiac disorders, the image identification code, mitral valve, aortic valve, tricuspid valve, pulmonary valve, left ventricle, hole, atrium valve, Doppler examination of ventricular and atrial movement models and diagnoses with an average of. Conclusions: To prepare a model of echocardiography reporting system to exchange with EHR system, creation a standard data set is the vital point. Therefore, based on the research findings, the minimum reporting system data to exchange with Iran’s electronic health record system include information on entity, management, medical record, carried-out acts, and the main content of the echocardiography report, which the planners of reporting system should consider. PMID:27147803

Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.

Science.gov (United States)

Taylor, R Andrew; Pare, Joseph R; Venkatesh, Arjun K; Mowafi, Hani; Melnick, Edward R; Fleischman, William; Hall, M Kennedy

2016-03-01

Predictive analytics in emergency care has mostly been limited to the use of clinical decision rules (CDRs) in the form of simple heuristics and scoring systems. In the development of CDRs, limitations in analytic methods and concerns with usability have generally constrained models to a preselected small set of variables judged to be clinically relevant and to rules that are easily calculated. Furthermore, CDRs frequently suffer from questions of generalizability, take years to develop, and lack the ability to be updated as new information becomes available. Newer analytic and machine learning techniques capable of harnessing the large number of variables that are already available through electronic health records (EHRs) may better predict patient outcomes and facilitate automation and deployment within clinical decision support systems. In this proof-of-concept study, a local, big data-driven, machine learning approach is compared to existing CDRs and traditional analytic methods using the prediction of sepsis in-hospital mortality as the use case. This was a retrospective study of adult ED visits admitted to the hospital meeting criteria for sepsis from October 2013 to October 2014. Sepsis was defined as meeting criteria for systemic inflammatory response syndrome with an infectious admitting diagnosis in the ED. ED visits were randomly partitioned into an 80%/20% split for training and validation. A random forest model (machine learning approach) was constructed using over 500 clinical variables from data available within the EHRs of four hospitals to predict in-hospital mortality. The machine learning prediction model was then compared to a classification and regression tree (CART) model, logistic regression model, and previously developed prediction tools on the validation data set using area under the receiver operating characteristic curve (AUC) and chi-square statistics. There were 5,278 visits among 4,676 unique patients who met criteria for sepsis. Of

[Adoptive parents' satisfaction with the adoption experience and with its impact on family life].

Science.gov (United States)

Sánchez-Sandoval, Yolanda

2011-11-01

In this study, we discuss the relevance of adoptive families' satisfaction in the assessment of adoption processes. The effects of adoption on a sample group of 272 adoptive families are analyzed. Most families show high levels of satisfaction as to: their decision to adopt, the features of their adopted children and how adoption has affected them as individuals and as a family. Statistical analyses show that these families can have different satisfaction levels depending on certain features of the adoptees, of the adoptive families or of their educational style. Life satisfaction of the adoptees is also related to how their adoptive parents evaluate the adoption.

Chief Information Officer's Role in Adopting an Interoperable Electronic Health Record System for Medical Data Exchange

Science.gov (United States)

Akpabio, Akpabio Enebong Ema

2013-01-01

Despite huge growth in hospital technology systems, there remains a dearth of literature examining health care administrator's perceptions of the efficacy of interoperable EHR systems. A qualitative research methodology was used in this multiple-case study to investigate the application of diffusion of innovations theory and the technology…

Electronic health record use in an affluent region in India: Findings from a survey of Chandigarh hospitals.

Science.gov (United States)

Powell, Adam C; Ludhar, Jasmine K; Ostrovsky, Yuri

2017-07-01

To characterize the electronic health record (EHR) systems in use in an affluent region of India in order to understand the state-of-the-art within the Indian market. A survey on EHR features was created by combining an instrument developed by the Organisation for International Cooperation and Development and an instrument developed by an American team of researchers. An interviewer directly administered the survey to leaders from hospitals in greater Chandigarh which possessed electronic health information systems. Summary statistics from the survey are reported. 24 hospitals offering multi-specialty inpatient care were identified in greater Chandigarh. 18 of these hospitals had electronic health information systems, 17 of which were interviewed. Of the hospitals with systems, 17 (100%) could access patient demographic information internally, but 12 (71%) could not access vital sign, allergy, or immunization data internally. 11 (65%) of the systems were capable of sharing patient summaries internally, but 13 (76%) could not send electronic referrals internally. Among organizations which have adopted systems, major barriers tend to have been around financial and staff matters. Concerns over interoperability, privacy, and security were infrequently cited as barriers to adoption. EHRs are ubiquitous in at least one region of India. Systems are more likely to have capabilities for intra-organizational information sharing than for inter-organizational information sharing. The availability of EHR data may foster clinical research. Copyright © 2017 Elsevier B.V. All rights reserved.

Energy-aware hybrid fruitfly optimization for load balancing in cloud environments for EHR applications

Directory of Open Access Journals (Sweden)

M. Lawanyashri

Full Text Available Cloud computing has gained precise attention from the research community and management of IT, due to its scalable and dynamic capabilities. It is evolving as a vibrant technology to modernize and restructure healthcare organization to provide best services to the consumers. The rising demand for healthcare services and applications in cloud computing leads to the imbalance in resource usage and drastically increases the power consumption resulting in high operating cost. To achieve fast execution time and optimum utilization of the virtual machines, we propose a multi-objective hybrid fruitfly optimization technique based on simulated annealing to improve the convergence rate and optimization accuracy. The proposed approach is used to achieve the optimal resource utilization and reduces the energy consumption and cost in cloud computing environment. The result attained in our proposed technique provides an improved solution. The experimental results show that the proposed algorithm efficiently outperforms compared to the existing load balancing algorithms. Keywords: Cloud computing, Electronic Health Records (EHR, Load balancing, Fruitfly Optimization Algorithm (FOA, Simulated Annealing (SA, Energy consumption

Querying archetype-based EHRs by search ontology-based XPath engineering.

Science.gov (United States)

Kropf, Stefan; Uciteli, Alexandr; Schierle, Katrin; Krücken, Peter; Denecke, Kerstin; Herre, Heinrich

2018-05-11

Legacy data and new structured data can be stored in a standardized format as XML-based EHRs on XML databases. Querying documents on these databases is crucial for answering research questions. Instead of using free text searches, that lead to false positive results, the precision can be increased by constraining the search to certain parts of documents. A search ontology-based specification of queries on XML documents defines search concepts and relates them to parts in the XML document structure. Such query specification method is practically introduced and evaluated by applying concrete research questions formulated in natural language on a data collection for information retrieval purposes. The search is performed by search ontology-based XPath engineering that reuses ontologies and XML-related W3C standards. The key result is that the specification of research questions can be supported by the usage of search ontology-based XPath engineering. A deeper recognition of entities and a semantic understanding of the content is necessary for a further improvement of precision and recall. Key limitation is that the application of the introduced process requires skills in ontology and software development. In future, the time consuming ontology development could be overcome by implementing a new clinical role: the clinical ontologist. The introduced Search Ontology XML extension connects Search Terms to certain parts in XML documents and enables an ontology-based definition of queries. Search ontology-based XPath engineering can support research question answering by the specification of complex XPath expressions without deep syntax knowledge about XPaths.

日本版EHR(Electronic Health Record)構築に向けて

OpenAIRE

水野, 正明; MIZUNO, Masaaki

2011-01-01

個人を基軸に国際レベルで医療・健康情報の共有を可能にしようとする仕組みがEHR(Electronic Health Record)である.我が国は先進諸国の一員としてこのEHRの整備を通して医療・健康の質の向上を目指すとともに,我が国におけるその成果を常に世界に発信していかなければならない.そのためには世界一と評価を受ける医療実績と医療の原点である信頼の上に立った優れたEHR基盤を整えなければならない.今,我が国の医療に適した日本版EHRの創出が求められている....

To Adopt Or Not To Adopt? The Transnational Adoption of International Financial Reporting Standards (IFRS) in Africa

OpenAIRE

Zori, S.

2015-01-01

The idea that policy diffusion can occur via two different mechanisms has gained attention in the realm of international accounting since the European Union’s adoption of International Financial Reporting Standards (IFRSs) in 2005. Proponents of classical economic approaches to policy adoption argue that countries adopting IFRS are motivated solely by the economic consequences of the standards from which they anticipate an improvement in information quality. Neo-institutional scholars argue, ...

Benefits and drawbacks of electronic health record systems

Directory of Open Access Journals (Sweden)

Menachemi N

2011-05-01

Full Text Available Nir Menachemi¹, Taleah H Collum²¹Department of Health Care Organization and Policy, University of Alabama at Birmingham, Birmingham, AL, USA; ²Department of Health Services Administration, University of Alabama at Birmingham, Birmingham, AL, USAAbstract: The Health Information Technology for Economic and Clinical Health (HITECH Act of 2009 that was signed into law as part of the "stimulus package" represents the largest US initiative to date that is designed to encourage widespread use of electronic health records (EHRs. In light of the changes anticipated from this policy initiative, the purpose of this paper is to review and summarize the literature on the benefits and drawbacks of EHR systems. Much of the literature has focused on key EHR functionalities, including clinical decision support systems, computerized order entry systems, and health information exchange. Our paper describes the potential benefits of EHRs that include clinical outcomes (eg, improved quality, reduced medical errors, organizational outcomes (eg, financial and operational benefits, and societal outcomes (eg, improved ability to conduct research, improved population health, reduced costs. Despite these benefits, studies in the literature highlight drawbacks associated with EHRs, which include the high upfront acquisition costs, ongoing maintenance costs, and disruptions to workflows that contribute to temporary losses in productivity that are the result of learning a new system. Moreover, EHRs are associated with potential perceived privacy concerns among patients, which are further addressed legislatively in the HITECH Act. Overall, experts and policymakers believe that significant benefits to patients and society can be realized when EHRs are widely adopted and used in a “meaningful” way.Keywords: EHR, health information technology, HITECH, computerized order entry, health information exchange 

Contact in Adoption and Adoptive Identity Formation: The Mediating Role of Family Conversation

Science.gov (United States)

Korff, Lynn Von; Grotevant, Harold D.

2012-01-01

The present study examined adoption-related family conversation as a mediator of the association between adoptive parents’ facilitation of contact with birth relatives and adolescent adoptive identity formation. The sample consisted of 184 adoptive families. Data were collected in two waves from adoptive mothers and fathers, and adoptees (M = 15.68 years at adolescence; M = 24.95 years at emerging adulthood) using semistructured interviews and questionnaires. Structural equation models showed a good fit to sample data, and analyses supported the hypothesized mediation model. Contact with birth relatives is associated with more frequent adoption-related family conversation, which in turn is associated with the development of adoptive identity. These results highlight the importance of supporting activities such as contact that lead to adoption-related family conversation. PMID:21517175

Adoption of Children with Disabilities: An Exploration of the Issues for Adoptive Families

Science.gov (United States)

Good, Gretchen A.

2016-01-01

This systematic literature review is an exploration of issues for adoptive families throughout the adoption process and into the various phases of the life of the adoptive family. Although there has been much recent research related to adoption, in general, very little adoption literature addresses the often unspoken needs of families who want to…

The Danish Adoption Register.

Science.gov (United States)

Petersen, Liselotte; Sørensen, Thorkild I A

2011-07-01

The Danish Adoption Register was established in 1963-1964 to explore the genetic and environmental contribution to familial aggregation of schizophrenia. The register encompass information on all 14,425 non-familial adoptions of Danish children legally granted in Denmark 1924-1947. It includes name and date of birth of each adoptee and his or her biological and adoptive parents, date of transfer to adoptive parents and date of formal adoption. The linkage to biological and adoptive parents is close to complete, even biological fathers are registered for 91.4% of the adoptees. Adoption registers are a unique source allowing disentangling of genetic and familial environmental influences on traits, risk of diseases, and mortality.

Comparison of user groups' perspectives of barriers and facilitators to implementing electronic health records: a systematic review

Directory of Open Access Journals (Sweden)

Leduc Yvan

2011-04-01

Full Text Available Abstract Background Electronic health record (EHR implementation is currently underway in Canada, as in many other countries. These ambitious projects involve many stakeholders with unique perceptions of the implementation process. EHR users have an important role to play as they must integrate the EHR system into their work environments and use it in their everyday activities. Users hold valuable, first-hand knowledge of what can limit or contribute to the success of EHR implementation projects. A comprehensive synthesis of EHR users' perceptions is key to successful future implementation. This systematic literature review was aimed to synthesize current knowledge of the barriers and facilitators influencing shared EHR implementation among its various users. Methods Covering a period from 1999 to 2009, a literature search was conducted on nine electronic databases. Studies were included if they reported on users' perceived barriers and facilitators to shared EHR implementation, in healthcare settings comparable to Canada. Studies in all languages with an empirical study design were included. Quality and relevance of the studies were assessed. Four EHR user groups were targeted: physicians, other health care professionals, managers, and patients/public. Content analysis was performed independently by two authors using a validated extraction grid with pre-established categorization of barriers and facilitators for each group of EHR users. Results Of a total of 5,695 potentially relevant publications identified, 117 full text publications were obtained after screening titles and abstracts. After review of the full articles, 60 publications, corresponding to 52 studies, met the inclusion criteria. The most frequent adoption factors common to all user groups were design and technical concerns, ease of use, interoperability, privacy and security, costs, productivity, familiarity and ability with EHR, motivation to use EHR, patient and health

Inhibitors of e-Government adoption: Determinants of habit and adoption intentions

Directory of Open Access Journals (Sweden)

Manuel Rey-Moreno

2017-09-01

Full Text Available Explanatory models of e-Government adoption are based on the premise that user behavior results from users’ intentions, which derive from users’ beliefs and attitudes. According to such models, citizens’ high intentions to use e-Government tools should have led to the widespread adoption of these tools. Yet this has not occurred. Therefore, existing models fail to explain the adoption of e-Government. These models must be complemented to explain the cause of citizens’ failure to adopt e-Government. Attempts to build a satisfactory model include the design of dual models (jointly analyzing facilitators and inhibitors and integrating models (jointly analyzing the interaction between intention and habit in prompting behavior. This study identified several inhibitors of e-Government adoption. Organizational support, self-efficacy, benefits, loss aversion, regret aversion, control, transition costs, sunk costs/switching costs, uncertainty, habit, resistance, and inertia were found to inhibit citizens’ adoption of e-Government.

Contact in adoption and adoptive identity formation: the mediating role of family conversation.

Science.gov (United States)

Von Korff, Lynn; Grotevant, Harold D

2011-06-01

The present study examined adoption-related family conversation as a mediator of the association between adoptive parents' facilitation of contact with birth relatives and adolescent adoptive identity formation. The sample consisted of 184 adoptive families. Data were collected in two waves from adoptive mothers and fathers, and adoptees (M = 15.68 years at adolescence; M = 24.95 years at emerging adulthood) using semistructured interviews and questionnaires. Structural equation models showed a good fit to sample data, and analyses supported the hypothesized mediation model. Contact with birth relatives is associated with more frequent adoption-related family conversation, which in turn is associated with the development of adoptive identity. These results highlight the importance of supporting activities such as contact that lead to adoption-related family conversation. 2011 APA, all rights reserved

Assessing the Readability of Medical Documents: A Ranking Approach.

Science.gov (United States)

Zheng, Jiaping; Yu, Hong

2018-03-23

The use of electronic health record (EHR) systems with patient engagement capabilities, including viewing, downloading, and transmitting health information, has recently grown tremendously. However, using these resources to engage patients in managing their own health remains challenging due to the complex and technical nature of the EHR narratives. Our objective was to develop a machine learning-based system to assess readability levels of complex documents such as EHR notes. We collected difficulty ratings of EHR notes and Wikipedia articles using crowdsourcing from 90 readers. We built a supervised model to assess readability based on relative orders of text difficulty using both surface text features and word embeddings. We evaluated system performance using the Kendall coefficient of concordance against human ratings. Our system achieved significantly higher concordance (.734) with human annotators than did a baseline using the Flesch-Kincaid Grade Level, a widely adopted readability formula (.531). The improvement was also consistent across different disease topics. This method's concordance with an individual human user's ratings was also higher than the concordance between different human annotators (.658). We explored methods to automatically assess the readability levels of clinical narratives. Our ranking-based system using simple textual features and easy-to-learn word embeddings outperformed a widely used readability formula. Our ranking-based method can predict relative difficulties of medical documents. It is not constrained to a predefined set of readability levels, a common design in many machine learning-based systems. Furthermore, the feature set does not rely on complex processing of the documents. One potential application of our readability ranking is personalization, allowing patients to better accommodate their own background knowledge. ©Jiaping Zheng, Hong Yu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 23.03.2018.

Lean coding machine. Facilities target productivity and job satisfaction with coding automation.

Science.gov (United States)

Rollins, Genna

2010-07-01

Facilities are turning to coding automation to help manage the volume of electronic documentation, streamlining workflow, boosting productivity, and increasing job satisfaction. As EHR adoption increases, computer-assisted coding may become a necessity, not an option.

Predicting Portuguese Psychology Students' Attitudes Toward the Psychological Development of Children Adopted by Lesbians and Gay Men.

Science.gov (United States)

Gato, Jorge; Fontaine, Anne Marie

2016-11-01

The present study seeks to ascertain the attitudes of Portuguese psychology students (future psychologists) toward the development of children adopted by lesbian and gay parents. Each participant (N = 182) read a vignette describing an adoption of a child by lesbian and gay persons. After reading the vignette, participants rated four different aspects of the future development of the adopted child (psychosocial adjustment, victimization, psychological disturbance, and normative sexuality). Furthermore, participants were asked about their gender, interpersonal contact with lesbians and gay men, gender role attitudes, and attitudes toward lesbians and gay men. Future psychologists' attitudes toward the developmental outcomes of children adopted by lesbians and gay men were associated with negative attitudes toward non-heterosexuals, which in turn correlated to interpersonal contact with lesbians and gay men and adherence to gender conservative values. These results clearly highlight the central role of social attitudes and the need for cultural competence training of future psychologists that encourages interpersonal contact with non-heterosexuals and discourages traditional gender roles and negative attitudes toward lesbian and gay men.

A Standards-Based Architecture Proposal for Integrating Patient mHealth Apps to Electronic Health Record Systems.

Science.gov (United States)

Marceglia, S; Fontelo, P; Rossi, E; Ackerman, M J

2015-01-01

Mobile health Applications (mHealth Apps) are opening the way to patients' responsible and active involvement with their own healthcare management. However, apart from Apps allowing patient's access to their electronic health records (EHRs), mHealth Apps are currently developed as dedicated "island systems". Although much work has been done on patient's access to EHRs, transfer of information from mHealth Apps to EHR systems is still low. This study proposes a standards-based architecture that can be adopted by mHealth Apps to exchange information with EHRs to support better quality of care. Following the definition of requirements for the EHR/mHealth App information exchange recently proposed, and after reviewing current standards, we designed the architecture for EHR/mHealth App integration. Then, as a case study, we modeled a system based on the proposed architecture aimed to support home monitoring for congestive heart failure patients. We simulated such process using, on the EHR side, OpenMRS, an open source longitudinal EHR and, on the mHealth App side, the iOS platform. The integration architecture was based on the bi-directional exchange of standard documents (clinical document architecture rel2 - CDA2). In the process, the clinician "prescribes" the home monitoring procedures by creating a CDA2 prescription in the EHR that is sent, encrypted and de-identified, to the mHealth App to create the monitoring calendar. At the scheduled time, the App alerts the patient to start the monitoring. After the measurements are done, the App generates a structured CDA2-compliant monitoring report and sends it to the EHR, thus avoiding local storage. The proposed architecture, even if validated only in a simulation environment, represents a step forward in the integration of personal mHealth Apps into the larger health-IT ecosystem, allowing the bi-directional data exchange between patients and healthcare professionals, supporting the patient's engagement in self

Congruency between educators' teaching beliefs and an electronic health record teaching strategy.

Science.gov (United States)

Bani-issa, Wegdan; Rempusheski, Veronica F

2014-06-01

Technology has changed healthcare institutions into automated settings with the potential to greatly enhance the quality of healthcare. Implementation of electronic health records (EHRs) to replace paper charting is one example of the influence of technology on healthcare worldwide. In the past decade nursing higher education has attempted to keep pace with technological changes by integrating EHRs into learning experiences. Little is known about educators' teaching beliefs and the use of EHRs as a teaching strategy. This study explores the composition of core teaching beliefs of nurse educators and their related teaching practices within the context of teaching with EHRs in the classroom. A collective case study and qualitative research approach was used to explore and describe teaching beliefs of seven nurse educators teaching with EHRs. Data collection included open-ended, audio-taped interviews and non-participant observation. Content analysis of transcribed interviews and observational field notes focused on identification of teaching belief themes and associated practices. Two contrasting collective case studies of teaching beliefs emerged. Constructivist beliefs were dominant, focused on experiential, student-centered, contextual and collaborative learning, and associated with expanded and a futuristic view of EHRs use. Objectivist beliefs focused on educators' control of the context of learning and were associated with a constrained, limited view of EHRs. Constructivist educators embrace technological change, an essential ingredient of educational reform. We encourage nurse educators to adopt a constructivist view to using technology in teaching in order to prepare nurses for a rapidly changing, technologically sophisticated practice. Copyright © 2014 Elsevier Ltd. All rights reserved.

Contact in Adoption and Adoptive Identity Formation: The Mediating Role of Family Conversation

OpenAIRE

Korff, Lynn Von; Grotevant, Harold D.

2011-01-01

The present study examined adoption-related family conversation as a mediator of the association between adoptive parents’ facilitation of contact with birth relatives and adolescent adoptive identity formation. The sample consisted of 184 adoptive families. Data were collected in two waves from adoptive mothers and fathers, and adoptees (M = 15.68 years at adolescence; M = 24.95 years at emerging adulthood) using semistructured interviews and questionnaires. Structural equation models showed...

Influences of Biological and Adoptive Mothers’ Depression and Antisocial Behavior on Adoptees’ Early Behavior Trajectories

Science.gov (United States)

Kerr, David C. R.; Leve, Leslie D.; Harold, Gordon T.; Natsuaki, Misaki; Neiderhiser, Jenae M.; Shaw, Daniel S.; Reiss, David

2013-01-01

Research clearly demonstrates that parents pass risk for depression and antisocial behavior on to their children. However, most research confounds genetic and environmental mechanisms by studying genetically related individuals. Furthermore, most studies focus on either depression or antisocial behavior in parents or children, despite evidence of co-occurrence and shared etiology, and few consider the early origins of these problems in childhood. We estimated the influence of biological and adoptive mothers’ depression and antisocial behavior on growth in child externalizing and internalizing behaviors across early childhood using data from a prospective adoption study. Participants were 346 matched triads of physically healthy children (196 boys; 150 girls), biological mothers (BM), and adoptive mothers (AM). Latent growth curve models were estimated using AM reports of child internalizing and externalizing behaviors at ages 18, 27, and 54 months. Predictors of intercept (18 months) but not slope were identified. BM lifetime histories of major depressive disorder predicted child externalizing behaviors and BM antisocial behavior predicted child internalizing behavior. AM depressive symptoms and antisocial behavior were associated with both child outcomes. AM paths, but not BM paths were partially replicated using adopted fathers’ reports of child outcomes. BM obstetric complications, prenatal depressive symptoms, and postnatal adoptive family contact with BM did not account for BM paths. This adoption study distinguished risks conferred by biological mothers’ depression and antisocial behavior to children’s behaviors from those associated with adoptive mothers’ related symptoms. Future studies should examine gene-environment interplay to explain the emergence of serious problem trajectories in later childhood. PMID:23408036

Influences of biological and adoptive mothers' depression and antisocial behavior on adoptees' early behavior trajectories.

Science.gov (United States)

Kerr, David C R; Leve, Leslie D; Harold, Gordon T; Natsuaki, Misaki N; Neiderhiser, Jenae M; Shaw, Daniel S; Reiss, David

2013-07-01

Research clearly demonstrates that parents pass risk for depression and antisocial behavior on to their children. However, most research confounds genetic and environmental mechanisms by studying genetically related individuals. Furthermore, most studies focus on either depression or antisocial behavior in parents or children, despite evidence of co-occurrence and shared etiology, and few consider the early origins of these problems in childhood. We estimated the influence of biological and adoptive mothers' depression and antisocial behavior on growth in child externalizing and internalizing behaviors across early childhood using data from a prospective adoption study. Participants were 346 matched triads of physically healthy children (196 boys; 150 girls), biological mothers (BM), and adoptive mothers (AM). Latent growth curve models were estimated using AM reports of child internalizing and externalizing behaviors at ages 18, 27, and 54 months. Predictors of intercept (18 months) but not slope were identified. BM lifetime histories of major depressive disorder predicted child externalizing behaviors and BM antisocial behavior predicted child internalizing behavior. AM depressive symptoms and antisocial behavior were associated with both child outcomes. AM paths, but not BM paths were partially replicated using adopted fathers' reports of child outcomes. BM obstetric complications, prenatal depressive symptoms, and postnatal adoptive family contact with BM did not account for BM paths. This adoption study distinguished risks conferred by biological mothers' depression and antisocial behavior to children's behaviors from those associated with adoptive mothers' related symptoms. Future studies should examine gene-environment interplay to explain the emergence of serious problem trajectories in later childhood.

TeenBP: Development and Piloting of an EHR-Linked Clinical Decision Support System to Improve Recognition of Hypertension in Adolescents.

Science.gov (United States)

Kharbanda, Elyse O; Nordin, James D; Sinaiko, Alan R; Ekstrom, Heidi L; Stultz, Jerry M; Sherwood, Nancy E; Fontaine, Patricia L; Asche, Steve E; Dehmer, Steven P; Amundson, Jerry H; Appana, Deepika X; Bergdall, Anna R; Hayes, Marcia G; O'Connor, Patrick J

2015-01-01

Blood pressure (BP) is routinely measured in children and adolescents during primary care visits. However, elevated BP or hypertension is frequently not diagnosed or evaluated further by primary care providers. Barriers to recognition include lack of clinician buy-in, competing priorities, and complexity of the standard BP tables. We have developed and piloted TeenBP- a web-based, electronic health record (EHR) linked system designed to improve recognition of prehypertension and hypertension in adolescents during primary care visits. Important steps in developing TeenBP included the following: review of national BP guidelines, consideration of clinic workflow, engagement of clinical leaders, and evaluation of the impact on clinical sites. Use of a web-based platform has facilitated updates to the TeenBP algorithm and to the message content. In addition, the web-based platform has allowed for development of a sophisticated display of patient-specific information at the point of care. In the TeenBP pilot, conducted at a single pediatric and family practice site with six clinicians, over a five-month period, more than half of BPs in the hypertensive range were clinically recognized. Furthermore, in this small pilot the TeenBP clinical decision support (CDS) was accepted by providers and clinical staff. Effectiveness of the TeenBP CDS will be determined in a two-year cluster-randomized clinical trial, currently underway at 20 primary care sites. Use of technology to extract and display clinically relevant data stored within the EHR may be a useful tool for improving recognition of adolescent hypertension during busy primary care visits. In the future, the methods developed specifically for TeenBP are likely to be translatable to a wide range of acute and chronic issues affecting children and adolescents.

Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon.

Science.gov (United States)

Li, Peiyao; Xie, Chen; Pollard, Tom; Johnson, Alistair Edward William; Cao, Desen; Kang, Hongjun; Liang, Hong; Zhang, Yuezhou; Liu, Xiaoli; Fan, Yong; Zhang, Yuan; Xue, Wanguo; Xie, Lixin; Celi, Leo Anthony; Zhang, Zhengbo

2017-11-14

Electronic health records (EHRs) have been widely adopted among modern hospitals to collect and track clinical data. Secondary analysis of EHRs could complement the traditional randomized control trial (RCT) research model. However, most researchers in China lack either the technical expertise or the resources needed to utilize EHRs as a resource. In addition, a climate of cross-disciplinary collaboration to gain insights from EHRs, a crucial component of a learning healthcare system, is not prevalent. To address these issues, members from the Massachusetts Institute of Technology (MIT) and the People's Liberation Army General Hospital (PLAGH) organized the first clinical data conference and health datathon in China, which provided a platform for clinicians, statisticians, and data scientists to team up and address information gaps in the intensive care unit (ICU). ©Peiyao Li, Chen Xie, Tom Pollard, Alistair Edward William Johnson, Desen Cao, Hongjun Kang, Hong Liang, Yuezhou Zhang, Xiaoli Liu, Yong Fan, Yuan Zhang, Wanguo Xue, Lixin Xie, Leo Anthony Celi, Zhengbo Zhang. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 14.11.2017.

Becoming an Adoptive Parent

DEFF Research Database (Denmark)

McIlvenny, Paul; Raudaskoski, Pirkko Liisa

Our research approaches transnational adoption as a nexus of local and global practices which are mediated in talk, text and other modalities of discourse. We use mediated discourse analysis combined with virtual ethnography to understand the cross-cultural similarities and differences in transna......Our research approaches transnational adoption as a nexus of local and global practices which are mediated in talk, text and other modalities of discourse. We use mediated discourse analysis combined with virtual ethnography to understand the cross-cultural similarities and differences...... in transnational adoption practice and representation. We present the results of our analysis of how the experiences of adoptive parents are (re)mediated in a Danish television documentary series following five prospective adoptive couples, not all of whom succeed in their 'quest' to adopt from abroad. Furthermore......, we trace how adopters publicly narrate their own experiences and problems with fertility and with adoption, as well as how they construct their personal websites, network with others locally and internationally, orient to other ‘sites’ or sources of information, share advice and create 'public goods...

Interoperability of Electronic Health Records: A Physician-Driven Redesign.

Science.gov (United States)

Miller, Holly; Johns, Lucy

2018-01-01

PURPOSE: Electronic health records (EHRs), now used by hundreds of thousands of providers and encouraged by federal policy, have the potential to improve quality and decrease costs in health care. But interoperability, although technically feasible among different EHR systems, is the weak link in the chain of logic. Interoperability is inhibited by poor understanding, by suboptimal implementation, and at times by a disinclination to dilute market share or patient base on the part of vendors or providers, respectively. The intent of this project has been to develop a series of practicable recommendations that, if followed by EHR vendors and users, can promote and enhance interoperability, helping EHRs reach their potential. METHODOLOGY: A group of 11 physicians, one nurse, and one health policy consultant, practicing from California to Massachusetts, has developed a document titled "Feature and Function Recommendations To Optimize Clinician Usability of Direct Interoperability To Enhance Patient Care" that offers recommendations from the clinician point of view. This report introduces some of these recommendations and suggests their implications for policy and the "virtualization" of EHRs. CONCLUSION: Widespread adoption of even a few of these recommendations by designers and vendors would enable a major advance toward the "Triple Aim" of improving the patient experience, improving the health of populations, and reducing per capita costs.

Spatial and Temporal Characteristics of PV Adoption in the UK and Their Implications for the Smart Grid

Directory of Open Access Journals (Sweden)

J. Richard Snape

2016-03-01

Full Text Available Distributed renewable electricity generators facilitate decarbonising the electricity network, and the smart grid allows higher renewable penetration while improving efficiency. Smart grid scenarios often emphasise localised control, balancing small renewable generation with consumer electricity demand. This research investigates the applicability of proposed decentralised smart grid scenarios utilising a mixed strategy: quantitative analysis of PV adoption data and qualitative policy analysis focusing on policy design, apparent drivers for adoption of the deviation of observed data from the feed-in tariff impact assessment predictions. Analysis reveals that areas of similar installed PV capacity are clustered, indicating a strong dependence on local conditions for PV adoption. Analysing time series of PV adoption finds that it fits neither neo-classical predictions, nor diffusion of innovation S-curves of adoption cleanly. This suggests the influence of external factors on the decision making process. It is shown that clusters of low installed PV capacity coincide with areas of high population density and vice versa, implying that while visions of locally-balanced smart grids may be viable in certain rural and suburban areas, applicability to urban centres may be limited. Taken in combination, the data analysis, policy impact and socio-psychological drivers of adoption demonstrate the need for a multi-disciplinary approach to understanding and modelling the adoption of technology necessary to enable the future smart grid.

Understanding the Ecological Adoption of Solar Water Heaters Among Customers of Island Economies

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Pudaruth Sharmila

2017-04-01

Full Text Available This paper explores the major factors impacting upon the ecological adoption of solar water heaters in Mauritius. The paper applies data reduction technique by using exploratory factor analysis on a sample of 228 respondents and condenses a set of 32 attributes into a list of 8 comprehensible factors impacting upon the sustained adoption of solar water heater in Mauritius. Multiple regression analysis was also conducted to investigate upon the most predictive factor influencing the adoption of solar water heaters in Mauritius. The empirical estimates of the regression analysis have also depicted that the most determining factor pertaining to the ‘government incentives for solar water heaters’ impacts upon the adoption of solar water heaters. These results can be related to sustainable adoption of green energy whereby targeted incentive mechanisms can be formulated with the aim to accelerate and cascade solar energy adoption in emerging economies. A novel conceptual model was also proposed in this paper, whereby, ecological stakeholders in the sustainable arena could use the model as a reference to pave the way to encourage adoption of solar water heating energy. This research represents a different way of understanding ecological customers by developing an expanding on an original scale development for the survey on the ecological adoption of solar water heaters.

A Socio-Technical Analysis of Patient Accessible Electronic Health Records.

Science.gov (United States)

Hägglund, Maria; Scandurra, Isabella

2017-01-01

In Sweden, and internationally, there is a movement towards increased transparency in healthcare including giving patients online access to their electronic health records (EHR). The purpose of this paper is to analyze the Swedish patient accessible EHR (PAEHR) service using a socio-technical framework, to increase the understanding of factors that influence the design, implementation, adoption and use of the service. Using the Sitting and Singh socio-technical framework as a basis for analyzing the Swedish PAEHR system and its context indicated that there are many stakeholders engaged in these types of services, with different driving forces and incentives that may influence the adoption and usefulness of PAEHR services. The analysis was useful in highlighting important areas that need to be further explored in evaluations of PAEHR services, and can act as a guide when planning evaluations of any PAEHR service.

Adopted Children and Discipline

Science.gov (United States)

... Family Dynamics > Adoption & Foster Care > Adopted Children & Discipline Family Life ... are the reasons for these patterns of parental inaction? Some adoptive parents are afraid their youngster might stop loving ...

Personality disorders in adopted versus non-adopted adults.

Science.gov (United States)

Westermeyer, Joseph; Yoon, Gihyun; Amundson, Carla; Warwick, Marion; Kuskowski, Michael A

2015-04-30

The goal of this epidemiological study was to investigate lifetime history and odds ratios of personality disorders in adopted and non-adopted adults using a nationally representative sample. Data, drawn from the National Epidemiological Survey on Alcohol and Related Conditions (NESARC), were compared in adopted (n=378) versus non-adopted (n=42,503) adults to estimate the odds of seven personality disorders using logistic regression analyses. The seven personality disorders were histrionic, antisocial, avoidant, paranoid, schizoid, obsessive-compulsive, and dependent personality disorder. Adoptees had a 1.81-fold increase in the odds of any personality disorder compared with non-adoptees. Adoptees had increased odds of histrionic, antisocial, avoidant, paranoid, schizoid, and obsessive-compulsive personality disorder compared with non-adoptees. Two risk factors associated with lifetime history of a personality disorder in adoptees compared to non-adoptees were (1) being in the age cohort 18-29 years (but no difference in the age 30-44 cohort), using the age 45 or older cohort as the reference and (2) having 12 years of education (but no difference in higher education groups), using the 0-11 years of education as the reference. These findings support the higher rates of personality disorders among adoptees compared to non-adoptees. Published by Elsevier Ireland Ltd.

Determinant factors of industrial purchasing personnel’s adoption of internet for business purchasing related activities

OpenAIRE

Shook Mei Chan; Siohong Tih