Yeager, Valerie A; Menachemi, Nir; Brooks, Robert G
The purpose of this study is to examine Electronic Health Record (EHR) adoption among Florida doctors who treat the elderly. This analysis contributes to the EHR adoption literature by determining if doctors who disproportionately treat the elderly differ from their counterparts with respect to the utilization of an important quality-enhancing health information technology application. This study is based on a primary survey of a large, statewide sample of doctors practising in outpatient settings in Florida. Logistic regression analysis was used to determine whether doctors who treat a high volume of elderly (HVE) patients were different with respect to EHR adoption. Our analyses included responses from 1724 doctors. In multivariate analyses controlling for doctor age, training, computer sophistication, practice size and practice setting, HVE doctors were significantly less likely to adopt EHR. Specifically, compared with their counterparts, HVE doctors were observed to be 26.7% less likely to be utilizing an EHR system (OR=0.733, 95% CI 0.547-0.982). We also found that doctor age is negatively related to EHR adoption, and practice size and doctor computer savvy-ness is positively associated. Despite the fact that EHR adoption has improved in recent years, doctors in Florida who serve the elderly are less likely to adopt EHRs. As long as HVE doctors are adopting EHR systems at slower rates, the elderly patients treated by these doctors will be at a disadvantage with respect to potential benefits offered by this technology. © 2010 Blackwell Publishing Ltd.
Conclusion Policy and decision makers interested in promoting the adoption of EHR among physicians should focus on the needs and barriers of those most likely to adopt EHR. Given that imminent adopters differ considerably from their peers, current EHR incentive programmes that focus on financial barriers only might prove sub-optimal in achieving immediate widespread EHR adoption.
Gheorghiu, Bobby; Hagens, Simon
An interoperable electronic health record is a secure consolidated record of an individual's health history and care, designed to facilitate authorized information sharing across the care continuum. Each Canadian province and territory has implemented such a system and for all, measuring adoption is essential to understanding progress and optimizing use in order to realize intended benefits. About 250,000 health professionals-approximately half of Canada's anticipated potential physician, nurse, pharmacist, and administrative users-indicated that they electronically access data, such as those found in provincial/territorial lab or drug information systems, in 2015. Trends suggest further growth as maturity of use increases. There is strong interest in health information exchange through the iEHR in Canada, and continued growth in adoption is expected. Central to managing the evolution of digital health is access to robust data about who is using solutions, how they are used, where and when. Stakeholders such as government, program leads, and health system administrators must critically assess progress and achievement of benefits, to inform future strategic and operational decisions.
Lockett, Daeron C.
Electronic Health Record (EHR) systems are increasingly becoming accepted as future direction of medical record management systems. Programs such as the American Recovery and Reinvestment Act have provided incentives to hospitals that adopt EHR systems. In spite of these incentives, the perception of EHR adoption is that is has not achieved the…
Full Text Available In the healthcare industry we have had a significant rise in the use of electronic health records (EHRs in health care settings (e.g. hospital, clinic, physician office and home. There are three main barriers that have arisen to the adoption of these technologies: (1 a shortage of health professional faculty who are familiar with EHRs and related technologies, (2 a shortage of health informatics specialists who can implement these technologies, and (3 poor access to differing types of EHR software. In this paper we outline a novel solution to these barriers: the development of a web portal that provides facility and health professional students with access to multiple differing types of EHRs over the WWW. The authors describe how the EHR is currently being used in educational curricula and how it has overcome many of these barriers. The authors also briefly describe the strengths and limitations of the approach.
Makam, Anil N; Lanham, Holly J; Batchelor, Kim; Moran, Brett; Howell-Stampley, Temple; Kirk, Lynne; Cherukuri, Manjula; Samal, Lipika; Santini, Noel; Leykum, Luci K; Halm, Ethan A
To describe primary care providers' (PCP) attitudes about the impact of a mature, commercial electronic health records (EHR) on clinical practice in settings with experience using the system and to evaluate whether a provider's propensity to adopt new technologies is associated with more favourable perceptions. We surveyed PCPs in 11 practices affiliated with three health systems in Texas. Most practices had greater than 5 years of experience with the Epic EHR. The effect of early adopter of technology status was evaluated using logistic regression. One hundred forty-six PCPs responded (70%). Most thought the EHR had a positive impact on routine tasks, such as prescription refills (94%), whereas fewer agreed for complex tasks, such as delivery of guideline-concordant care for chronic illnesses (51%). Two-thirds (62%) thought it interfered with eye contact with patients, and 40% reported that it interfered with in-visit communication. Early adopters of technology reported greater positive effects of the EHR, even after adjusting for age, ranging from 2% to 15% higher on satisfaction ratings. PCPs practicing in settings with considerable experience using a common commercial EHR identified many positive effects, as well as two key areas for improvement - patient centredness and intelligent decision support. Providers with a propensity to adopt new technologies have more favourable perceptions of the EHR. © 2013 John Wiley & Sons, Ltd.
Behkami, Nima A; Dorr, David A; Morrice, Stuart
The goal of this study is to describe a framework that allows decision makers to efficiently evaluate factors that affect Electronic Health Record (EHR) adoption and test suitable interventions; specifically financial incentives. The United States healthcare delivery system is experiencing a transformation to improve population health. There is strong agreement that "meaningful use" of Health Information Technology (HIT) is a major enabler in this effort. However it's also understood that the high cost of implementing an EHR is an obstacle for adoption. To help understand these complexities we developed a simulation model designed to capture the dynamic nature of policy interventions that affect the adoption of EHR. We found that "Effective" use of HIT approaches break-even-point and larger clinic revenue many times faster that "average" or "poor" use of HIT. This study uses a systems perspective to the evaluate EHR adoption process through the "meaningful use" redesign as proposed in the American Reinvestment and Recovery Act 2009 in the United States healthcare industry by utilizing the System Dynamics methodology and Scenario Analysis.
Wang, Tiankai; Wang, Yangmei; Biedermann, Sue
The meaningful use incentives under HITECH may be inadequate to address the financial challenges many hospitals face in implementing electronic health records (EHRs). Hospitals can fill the capital gap between EHR costs and available funds by exploring other potential funding sources. These sources include additional grants, funding permissible under EHR regulations, vendor financing, and tax benefits under IRS Section 179.
De Pietro, Carlo; Francetic, Igor
Within the framework of a broader e-health strategy launched a decade ago, in 2015 Switzerland passed a new federal law on patients' electronic health records (EHR). The reform requires hospitals to adopt interoperable EHRs to facilitate data sharing and cooperation among healthcare providers, ultimately contributing to improvements in quality of care and efficiency in the health system. Adoption is voluntary for ambulatories and private practices, that may however be pushed towards EHRs by patients. The latter have complete discretion in the choice of the health information to share. Moreover, careful attention is given to data security issues. Despite good intentions, the high institutional and organisational fragmentation of the Swiss healthcare system, as well as the lack of full agreement with stakeholders on some critical points of the reform, slowed the process of adoption of the law. In particular, pilot projects made clear that the participation of ambulatories is doomed to be low unless appropriate incentives are put in place. Moreover, most stakeholders point at the strategy proposed to finance technical implementation and management of EHRs as a major drawback. After two years of intense preparatory work, the law entered into force in April 2017. Copyright © 2017 The Author(s). Published by Elsevier B.V. All rights reserved.
Das, Lala T; Abramson, Erika L; Stone, Anne E; Kondrich, Janienne E; Kern, Lisa M; Grinspan, Zachary M
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.
Penjor, Sonam; Zander, Pär-Ola Mikael
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...
Bennett, Casey; Doub, Tom; Selove, Rebecca
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. ...
Taslimitehrani, Vahid; Dong, Guozhu; Pereira, Naveen L; Panahiazar, Maryam; Pathak, Jyotishman
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
Adler-Milstein, Julia; Woody Scott, Kirstin; Jha, Ashish K
Recent studies fail to find a consistent relationship between adoption of electronic health records (EHRs) and improved hospital performance. We sought to examine whether the quality of hospital management modifies the association between EHR adoption and outcomes related to cost and quality. Retrospective study of a random sample of US acute care hospitals. Management quality was assessed via phone interviews with clinical managers predominantly from cardiac units in a random sample of 325 hospitals using a validated scale of management practices in 4 areas: operations, performance monitoring, target setting, and talent management. American Hospital Association InformationTechnology Supplement data captured whether or not these hospitals had at least a basic EHR. Acute myocardial infarction (AMI) outcomes included risk-adjusted 30-day mortality, average length-of-stay, and average payment per discharge measured using MedPAR data. Ordinary least squares regressions assessed whether management quality modifies the relationship between EHR adoption and AMI outcomes. While we found no association between EHR adoption and our outcomes, management quality modified the relationship in the predicted direction. For length of stay, the coefficient on the interaction between EHR and management was -1.48 (P = .05) and for payment, it was -7786.74 (P = .014). We did not find strong evidence of effect modification for mortality (coefficient = -0.05; P = .37). Coupled with ongoing policy efforts to achieve nationwide EHR adoption is a growing unease that our national investment may not result in better, more efficient care. Our study is among the first to offer empirical evidence that management quality may help explain why some hospitals see substantial gains from EHR adoption while others do not.
Zhao, Di; Weng, Chunhua
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.
Vasiljeva, Ieva; Arandjelovic, Ognjen
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.
Barrett, Ashley K
The American Recovery and Reinvestment Act passed by the U.S. government in 2009 mandates that all healthcare organizations adopt a certified electronic health record (EHR) system by 2015. Failure to comply will result in Medicare reimbursement penalties, which steadily increase with each year of delinquency. There are several repercussions of this seemingly top-down, rule-bound organizational change-one of which is employee resistance. Given the penalties for violating EHR meaningful use standards are ongoing, resistance to this mandate presents a serious issue for healthcare organizations. This study surveyed 345 employees in one healthcare organization that recently implemented an EHR. Analysis of variance results offer theoretical and pragmatic contributions by demonstrating physicians, nurses, and employees with more experience in their organization are the most resistant to EHR change. The job characteristics model is used to explain these findings. Hierarchical regression analyses also demonstrate the quality of communication surrounding EHR implementation-from both formal and informal sources-is negatively associated with EHR resistance and positively associated with perceived EHR implementation success and EHR's perceived relative advantage.
Leykum, Luci K; McDaniel, Reuben R
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.
Lanham, Holly Jordan; Leykum, Luci K; McDaniel, Reuben R
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.
DiAngi, YT; Longhurst, CA; Payne, TH
With increasing diffusion of EHR technology over the last half decade, clinician burnout is rising. As healthcare is a complex and highly regulated field, the rapid and mass adoption of EHR technology has created disruption for highly skilled workers such as clinicians. Although, much has been written about dissatisfaction with the EHR (electronic health record), a paucity of immediate solutions exists in the literature. This article suggests three actionable steps health systems and clinicians can make to expedite gains from and mitigate the effect of the EHR on clinical practice. PMID:27830215
Benjamin T. Hazen
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.
Raghavan, Vijay V; Chinta, Ravi; Zhirkin, Nikita
While adoption rates for electronic health records (EHRs) have improved, the reasons for significant geographical differences in EHR adoption within the USA have remained unclear. To understand the reasons for these variations across states, we have compiled from secondary sources a profile of different states within the USA, based on macroeconomic and macro health-environment factors. Regression analyses were performed using these indicator factors on EHR adoption. The results showed that internet usage and literacy are significantly associated with certain measures of EHR adoption. Income level was not significantly associated with EHR adoption. Per capita patient days (a proxy for healthcare need intensity within a state) is negatively correlated with EHR adoption rate. Health insurance coverage is positively correlated with EHR adoption rate. Older physicians (>60 years) tend to adopt EHR systems less than their younger counterparts. These findings have policy implications on formulating regionally focused incentive programs.
... 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 ...
Hultman, Gretchen; Marquard, Jenna; Arsoniadis, Elliot; Mink, Pamela; Rizvi, Rubina; Ramer, Tim; Khairat, Saif; Fickau, Keri; Melton, Genevieve B
Despite widespread electronic health record (EHR) adoption, poor EHR system usability continues to be a significant barrier to effective system use for end users. One key to addressing usability problems is to employ user testing and user-centered design. To understand if redesigning an EHR-based navigation tool with clinician input improved user performance and satisfaction. A usability evaluation was conducted to compare two versions of a redesigned ambulatory navigator. Participants completed tasks for five patient cases using the navigators, while employing a think-aloud protocol. The tasks were based on Meaningful Use (MU) requirements. The version of navigator did not affect perceived workload, and time to complete tasks was longer in the redesigned navigator. A relatively small portion of navigator content was used to complete the MU-related tasks, though navigation patterns were highly variable across participants for both navigators. Preferences for EHR navigation structures appeared to be individualized. This study demonstrates the importance of EHR usability assessments to evaluate group and individual performance of different interfaces and preferences for each design.
Marmor, Rebecca A; Clay, Brian; Millen, Marlene; Savides, Thomas J; Longhurst, Christopher A
The increased emphasis on patient satisfaction has coincided with the growing adoption of electronic health records (EHRs) throughout the U.S. The 2001 Institute of Medicine Report, “Crossing the Quality Chasm,” identified patient-centered care as a key element of quality health care. In response to this call, the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey was developed to assess patients' health care experiences in the inpatient setting. Simultaneously, financial incentives have facilitated the rapid adoption of EHR applications, with 84% of hospitals maintaining at least a basic EHR in 2015 (a ninefold increase since 2008). Despite the concurrent deployment of patient satisfaction surveys and EHRs, there is a poor understanding of the relationship that may exist between physician usage of the EHR and patient satisfaction. Most prior research into the impact of the EHR on physician–patient communication has been observational, describing the behaviors of physicians and patients when the clinician accesses an EHR in the exam room. Past research has shown that encounters where physicians access the EHR are often filled with long pauses, and that few clinicians attempt to engage patients by sharing what they are looking at on the screen. A recent meta-analysis reviewing 53 papers found that only 7 studies attempted to correlate objective observations of physician communication behaviors with patient perceptions by eliciting feedback from the patients. No study used a standardized assessment tool of patient satisfaction. The authors conclude that additional work is necessary to better understand the patient perspective of the presence of an EHR during a clinical encounter. Additionally, increasing EHR adoption and emphasis on patient satisfaction have also corresponded with rising physician burnout rates.  Prior work suggests that EHR adoption may be contributing to this trend. Burnout from the EHR
Ford, Eric W; Silvera, Geoffrey A; Kazley, Abby S; Diana, Mark L; Huerta, Timothy R
Purpose - The purpose of this paper is to explore the relationship between hospitals' electronic health record (EHR) adoption characteristics and their patient safety cultures. The "Meaningful Use" (MU) program is designed to increase hospitals' adoption of EHR, which will lead to better care quality, reduce medical errors, avoid unnecessary cost, and promote a patient safety culture. To reduce medical errors, hospital leaders have been encouraged to promote safety cultures common to high-reliability organizations. Expecting a positive relationship between EHR adoption and improved patient safety cultures appears sound in theory, but it has yet to be empirically demonstrated. Design/methodology/approach - Providers' perceptions of patient safety culture and counts of patient safety incidents are explored in relationship to hospital EHR adoption patterns. Multi-level modeling is employed to data drawn from the Agency for Healthcare Research and Quality's surveys on patient safety culture (level 1) and the American Hospital Association's survey and healthcare information technology supplement (level 2). Findings - The findings suggest that the early adoption of EHR capabilities hold a negative association to the number of patient safety events reported. However, this relationship was not present in providers' perceptions of overall patient safety cultures. These mixed results suggest that the understanding of the EHR-patient safety culture relationship needs further research. Originality/value - Relating EHR MU and providers' care quality attitudes is an important leading indicator for improved patient safety cultures. For healthcare facility managers and providers, the ability to effectively quantify the impact of new technologies on efforts to change organizational cultures is important for pinpointing clinical areas for process improvements.
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…
Tapuria, Archana; Kalra, Dipak; Kobayashi, Shinji
The objective is to introduce 'clinical archetype' which is a formal and agreed way of representing clinical information to ensure interoperability across and within Electronic Health Records (EHRs). The paper also aims at presenting the challenges building quality labeled clinical archetypes and the challenges towards achieving semantic interoperability between EHRs. Twenty years of international research, various European healthcare informatics projects and the pioneering work of the openEHR Foundation have led to the following results. The requirements for EHR information architectures have been consolidated within ISO 18308 and adopted within the ISO 13606 EHR interoperability standard. However, a generic EHR architecture cannot ensure that the clinical meaning of information from heterogeneous sources can be reliably interpreted by receiving systems and services. Therefore, clinical models called 'clinical archetypes' are required to formalize the representation of clinical information within the EHR. Part 2 of ISO 13606 defines how archetypes should be formally represented. The current challenge is to grow clinical communities to build a library of clinical archetypes and to identify how evidence of best practice and multi-professional clinical consensus should best be combined to define archetypes at the optimal level of granularity and specificity and quality label them for wide adoption. Standardizing clinical terms within EHRs using clinical terminology like Systematized Nomenclature of Medicine Clinical Terms is also a challenge. Clinical archetypes would play an important role in achieving semantic interoperability within EHRs. Attempts are being made in exploring the design and adoption challenges for clinical archetypes.
Rijnsoever, F.J. van; Oppewal, H.
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
Kalra, Dipak; Beale, Thomas; Heard, Sam
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.
Dastagir, M. Tariq; Chin, Homer L.; McNamara, Michael; Poteraj, Kathy; Battaglini, Sarah; Alstot, Lauren
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
Dastagir, M Tariq; Chin, Homer L; McNamara, Michael; Poteraj, Kathy; Battaglini, Sarah; Alstot, Lauren
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.
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.
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.
Robles, Montserrat; Fernández-Breis, Jesualdo Tomás; Maldonado, Jose A; Moner, David; Martínez-Costa, Catalina; Bosca, Diego; Menárguez-Tortosa, Marcos
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.
Goldberg, Abbie E.; Smith, JuliAnna Z.
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…
Chen, Rong; Klein, Gunnar O; Sundvall, Erik; Karlsson, Daniel; Åhlfeldt, Hans
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...
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.
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...
Kalra, Dipak; Tapuria, Archana; Austin, Tony; De Moor, Georges
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.
Simmons, Michael; Singhal, Ayush; Lu, Zhiyong
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
Simmons, Michael; Singhal, Ayush; Lu, Zhiyong
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.
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
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
Lauss, Martin; Donia, Marco; Harbst, Katja
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. ...
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.
Ho, Cheng-Hsun; Wen, Hsyien-Chia; Chu, Chi-Ming; Wu, Yi-Syuan; Wang, Jen-Leng
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
Min, Lingtong; Wang, Li; Lu, Xudong; Duan, Huilong
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.
Smith, Rachel A; Kim, Youllee; Zhu, Xun; Doudou, Dimi Théodore; Sternberg, Eleanore D; Thomas, Matthew B
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.
Kruse, Clemens Scott
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…
Abdolrasulnia, Maziar; Menachemi, Nir; Shewchuk, Richard M; Ginter, Peter M; Duncan, W Jack; Brooks, Robert G
Despite the advantages of electronic health record (EHR) systems, the adoption of these systems has been slow among community-based physicians. Current studies have examined organizational and personal barriers to adoption; however, the influence of market characteristics has not been studied. The purpose of this study was to measure the effects of market characteristics on EHR adoption by physicians. Generalized hierarchal linear modeling was used to analyze EHR survey data from Florida which were combined with data from the Area Resource File and the Florida Office of Insurance Regulation. The main outcome variable was self-reported use of EHR by physicians. A total of 2,926 physicians from practice sizes of 20 or less were included in the sample. Twenty-one percent (n = 613) indicated that they personally and routinely use an EHR system in their practice. Physicians located in counties with higher physician concentration were found to be more likely to adopt EHRs. For every one-unit increase in nonfederal physicians per 10,000 in the county, there was a 2.0% increase in likelihood of EHR adoption by physicians (odds ratio = 1.02, confidence interval = 1.00-1.03). Health maintenance organization penetration rate and poverty level were not found to be significantly related to EHR adoption. However, practice size, years in practice, Medicare payer mix, and measures of technology readiness were found to independently influence physician adoption. Market factors play an important role in the diffusion of EHRs in small medical practices. Policy makers interested in furthering the adoption of EHRs must consider strategies that would enhance the confidence of users as well as provide financial support in areas with the highest concentration of small medical practices and Medicare beneficiaries. Health care leaders should be cognizant of the market forces that enable or constrain the adoption of EHR among their practices and those of their competitors.
Magsamen-Conrad, Kate; Upadhyaya, Shrinkhala; Joa, Claire Youngnyo; Dowd, John
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.
Detmer Don E
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
Lorenzi, Nancy M; Kouroubali, Angelina; Detmer, Don E; Bloomrosen, Meryl
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
Naser, Riyad J.
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…
Helton, Jeffrey R
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.
Song, Paula H; McAlearney, Ann Scheck; Robbins, Julie; McCullough, Jeffrey S
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.
Weiss, Emily; Gramann, Shannon; Drain, Natasha; Dolan, Emily; Slater, Margaret
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
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...
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
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.
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
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.
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.
Tanner, C; Gans, D; White, J; Nath, R; Pohl, J
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.
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
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.
Lytle, Leslie A; Nicastro, Holly L; Roberts, Susan B; Evans, Mary; Jakicic, John M; Laposky, Aaron D; Loria, Catherine M
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.
Adler-Milstein, Julia; Holmgren, A Jay; Kralovec, Peter; Worzala, Chantal; Searcy, Talisha; Patel, Vaishali
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
Furlong, Karen E
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.
Miake-Lye, Isomi M; Chuang, Emmeline; Rodriguez, Hector P; Kominski, Gerald F; Yano, Elizabeth M; Shortell, Stephen M
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
Kobayashi, Shinji; Kume, Naoto; Yoshihara, Hiroyuki
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.
Kim, Young-Gun; Jung, Kyoungwon; Park, Young-Taek; Shin, Dahye; Cho, Soo Yeon; Yoon, Dukyong; Park, Rae Woong
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.
Bieker, Michael; Bailey, Spencer
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.
Chen, Yu-Yi; Lu, Jun-Chao; Jan, Jinn-Ke
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.
Chen, Robert; Kumar, Vikas; Fitch, Natalie; Jagadish, Jitesh; Lifan Zhang; Dunn, William; Duen Horng Chau
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.
Moser, Stephanie; Mosler, Hans-Joachim
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.
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
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.
Shen, Jay J; Ginn, Gregory O
Financial barriers are a major factor of slow electronic health record (EHR) adoption among US hospitals. All existing literature focuses on relationships between current or short-term financial position and EHR adoption. This study examines relationship between financial position in previous years and the current level of EHR adoption. Retrospective longitudinal data were extracted from (1) the 2009 American Hospital Association (AHA) EHR implementation survey; (2) the 2002 and 2006 Centers for Medicare & Medicaid Cost Reports; and (3) the 2002 and 2006 AHA Annual Survey containing organizational and operational data. The final sample was 2,701 acute care hospitals in the United States. General ordinal logistic regression was used for data analysis with a three-level dependent variable to measure adoption, five independent variables to measure financial position, and 11 control variables to measure structure and environment. For 2006, higher total margin was significantly and positively associated with EHR adoption, but higher asset turnover was significantly and negatively associated with EHR adoption. For 2002, higher total margin was significantly and positively associated with EHR adoption, but higher asset turnover and higher equity multiplier were both significantly and negatively associated with EHR adoption. In addition, lower net days revenue in accounts receivable was significantly and positively associated with EHR adoption. For both the 2002 and 2006 control variables, human resource intensity and bed size were significant and positively related to adoption, and percentage Medicare patients and investor ownership were significant and negatively related to adoption. Financial position does relate to EHR adoption in mid-term and long-term planning.
Dupont, Danielle; Beresniak, Ariel; Sundgren, Mats; Schmidt, Andreas; Ainsworth, John; Coorevits, Pascal; Kalra, Dipak; Dewispelaere, Marc; De Moor, Georges
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
Haarbrandt, Birger; Tute, Erik; Marschollek, Michael
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.
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
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
Freire Sergio M
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
Nogueira, J R M; Cook, T W; Cavalini, L T
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
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
Goldberg, Abbie E.; Smith, JuliAnna Z.
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
McGregor, Brian; Mack, Dominic; Wrenn, Glenda; Shim, Ruth S; Holden, Kisha; Satcher, David
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.
Roberts, Kirk; Demner-Fushman, Dina
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.
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.
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
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.
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.
The purpose of this quantitative correlation study was to examine the predictors of user behavioral intention on the decision of oncology care providers to adopt or reject the clinical decision support system. The Unified Theory of Acceptance and Use of Technology (UTAUT) formed the foundation of the research model and survey instrument. The…
Alabdulatif, Abdulatif; Khalil, Ibrahim; Mai, Vu
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.
Odekunle, Florence Femi; Odekunle, Raphael Oluseun; Shankar, Srinivasan
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 strategies to improve its adoption in this region. A comprehensive literature search was conducted on three electronic databases: PubMed, Medline, and Google Scholar. Articles of interest were those published in English that contained information on factors that limit the adoption of an EHR as well as strategies that improve its adoption in sub-Saharan African countries. The available evidence indicated that there were many factors that hindered the widespread adoption of an EHR in sub-Saharan Africa. These were high costs of procurement and maintenance of the EHR system, lack of financial incentives and priorities, poor electricity supply and internet connectivity, and primary user's limited computer skills. However, strategies such as implementation planning, financial supports, appropriate EHR system selection, training of primary users, and the adoption of the phased implementation process have been identified to facilitate the use of an EHR. Wide adoption of an EHR in sub-Saharan Africa region requires a lot more effort than what is assumed because of the current poor level of technological development, lack of required computer skills, and limited resources.
Arndt, Brian G; Beasley, John W; Watkinson, Michelle D; Temte, Jonathan L; Tuan, Wen-Jan; Sinsky, Christine A; Gilchrist, Valerie J
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.
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.
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.
Kohl, Christian Dominik; Garde, Sebastian; Knaup, Petra
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.
Martin, Shelby; Wagner, Jesse; Lupulescu-Mann, Nicoleta; Ramsey, Katrina; Cohen, Aaron; Graven, Peter; Weiskopf, Nicole G; Dorr, David A
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.
Abahussain, Mohammed Mansour
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…
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…
Høstgaard, Anne Marie; Nøhr, Christian
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....
Nøhr, Christian; Andersen, Stig Kjær; Vingtoft, Søren
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...
Introduction: The ultimate viability of an information system is dependent on individuals' continued use of the information system. In this study, we use the technology acceptance model and the theory of interpersonal behaviour to predict continued use of information systems. Method: We established a Web questionnaire on the mySurvey Website and…
Kruse, Clemens Scott; Kristof, Caitlin; Jones, Beau; Mitchell, Erica; Martinez, Angelica
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.
Wyker, Brett A; Davison, Kirsten K
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.
Odekunle, Florence Femi; Odekunle, Raphael Oluseun; Shankar, Srinivasan
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...
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/.
Lauesen, Søren; Pantazos, Kostas; Lippert, Søren
-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....
Malmberg, Erik D; Phan, Thao M; Harmon, Glynn; Nauert, Richard F
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.
Sittig, Dean F
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
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
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.
Beglaryan, Mher; Petrosyan, Varduhi; Bunker, Edward
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.
Martínez-Costa, Catalina; Schulz, Stefan
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.
Ginn, Gregory O; Shen, Jay J; Moseley, Charles B
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.
Grabenbauer, L; Fraser, R.; McClay, J.; Woelfl, N.; Thompson, C.B.; Cambell, J.; Windle, J.
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
Bhuyan, Soumitra S; Zhu, He; Chandak, Aastha; Kim, Jungyoon; Stimpson, Jim P
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
Furniss, Stephanie K; Burton, Matthew M; Grando, Adela; Larson, David W; Kaufman, David R
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.
Orellana, Diego A.; Salas, Alberto A.; Solarz, Pablo F.; Medina Ruiz, Luis; Rotger, Viviana I.
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.
Weiss, Emily; Gramann, Shannon; Drain, Natasha; Dolan, Emily; Slater, Margaret
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 ...
Møller-Jensen, John; Lund Pedersen, Ivan; Simonsen, Jesper
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...
Møller-Jensen, John; Simonsen, Jesper; K. Iversen, Rikke
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...
Williams, Richard; Kontopantelis, Evangelos; Buchan, Iain; Peek, Niels
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.
Daim, Tugrul U; Basoglu, Nuri; Kök, Orhun M; Hogaboam, Liliya
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...
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.
Grotevant, Harold D; Lo, Albert Yh
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.
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.
Keny, Aggrey; Wanyee, Steven; Kwaro, Daniel; Mulwa, Edwin; Were, Martin C
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.
... 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...
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.
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.
Tarver, Will L; Menachemi, Nir
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
Xie, Jiang; Liu, Yan; Zeng, Xu; Zhang, Wu; Mei, Zhen
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.
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.
Sundvall, Erik; João Junior, Mario; Ruch, Patrick; Miranda Freire, Sergio
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
Teodoro, Douglas; Sundvall, Erik; João Junior, Mario; Ruch, Patrick; Miranda Freire, Sergio
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.
... 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...
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.
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
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.
Holmgren, A Jay; Adler-Milstein, Julia; McCullough, Jeffrey
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
Beijersbergen, M.D.; Juffer, F.; Bakermans-Kranenburg, M.J.; IJzendoorn, M.H. van
In a longitudinal study with 125 early adopted adolescents, we examined continuity of attachment from infancy to adolescence and the role of parental sensitive support in explaining continuity or discontinuity of attachment. Assessments of maternal sensitive support and infant attachment (Strange
Gato, Jorge; Fontaine, Anne Marie
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.
Adnan, Nadia; Nordin, Shahrina Mohammad; Rahman, Imran; Amini, Mohammad Hadi
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
Olayiwola, J Nwando; Rubin, Ashley; Slomoff, Theo; Woldeyesus, Tem; Willard-Grace, Rachel
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.
Venta, Kimberly; Baker, Erin; Fidopiastis, Cali; Stanney, Kay
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.
Corry, Aino Vonge; Ingstrup, Mads; Larsen, Simon Bo
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...
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.
Sato, Masaya; Tateishi, Ryosuke; Yasunaga, Hideo; Horiguchi, Hiromasa; Matsui, Hiroki; Yoshida, Haruhiko; Fushimi, Kiyohide; Koike, Kazuhiko
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.
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…
Sun, Hong; Depraetere, Kristof; De Roo, Jos; Mels, Giovanni; De Vloed, Boris; Twagirumukiza, Marc; Colaert, Dirk
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.
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.
Meyerhoefer, Chad D; Sherer, Susan A; Deily, Mary E; Chou, Shin-Yi; Guo, Xiaohui; Chen, Jie; Sheinberg, Michael; Levick, Donald
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.
Kim, Ki Joon; Shin, Dong-Hee; Park, Eunil
This study proposes an acceptance model for curved-screen smartphones, and explores how the sense of coolness induced by attractiveness, originality, subcultural appeal, and the utility of the curved screen promotes smartphone adoption. The results of structural equation modeling analyses (N = 246) show that these components of coolness (except utility) increase the acceptance of the technology by enhancing the smartphones' affectively driven qualities rather than their utilitarian ones. The proposed coolness model is then compared with the original technology acceptance model to validate that the coolness factors are indeed equally effective determinants of usage intention, as are the extensively studied usability factors such as perceived ease of use and usefulness.
Jamei, Mehdi; Nisnevich, Aleksandr; Wetchler, Everett; Sudat, Sylvia; Liu, Eric
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.
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.
Kruse, Clemens Scott; DeShazo, Jonathan; Kim, Forest; Fulton, Lawrence
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
Butler, Alex; Wei, Wei; Yuan, Chi; Kang, Tian; Si, Yuqi; Weng, Chunhua
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.
Turchin, A; Sawarkar, A; Dementieva, Y A; Breydo, E; Ramelson, H
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.
Sawarkar, A.; Dementieva, Y.A.; Breydo, E.; Ramelson, H.
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
Tyllinen, Mari; Kaipio, Johanna; Lääveri, Tinja
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.
Pfeiffer, Klaus; Duftschmid, Georg; Rinner, Christoph
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.
Wang, Wen; Zhao, Xiping; Sun, Jinglei; Zhou, Guangquan
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.
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.
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.
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.
Carlos M Baeza
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.
Srivastava, Sunil Kumar
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.
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
Tavares, Jorge; Oliveira, Tiago
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.
Kropf, Stefan; Chalopin, Claire; Lindner, Dirk; Denecke, Kerstin
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
Petrovcikova, Katarina; Sudzina, Frantisek
Smartphones are used by majority of Western population, and they are mobile phones of choice also in the rest of the world. The Theory of Consumption Values (TCV) is a marketing theory that explains purchase behavior of consumer goods and services. The framework consists of functional, social......, epistemic, hedonic, and conditional values; the latter being functional and/or social values present only in a specific situation. TCV is used in mobile device adoption literature disproportionably more often than in other fields. But virtually all TCV studies focused on smartphones are qualitative. The aim...
McCullagh, Lauren; Mann, Devin; Rosen, Lisa; Kannry, Joseph; McGinn, Thomas
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
Bestek, M.; Stanimirovi, D.
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...
This dissertation focuses on the social psychological determinants of mobile communication technology use and adoption in an attempt to better understand people’s behavior for adopting and using innovative information and communication technologies. In particular, this study emphasizes the
Villalba-Mora, Elena; Casas, Isabel; Lupiañez-Villanueva, Francisco
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...
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.
Garcia, Diego; Moro, Claudia Maria Cabral; Cicogna, Paulo Eduardo; Carvalho, Deborah Ribeiro
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.
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...
Daniel, Christel; Ouagne, David; Sadou, Eric; Forsberg, Kerstin; Gilchrist, Mark Mc; Zapletal, Eric; Paris, Nicolas; Hussain, Sajjad; Jaulent, Marie-Christine; MD, Dipka Kalra
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
Cintho, Lilian Mie Mukai; Garcia, Diego; da Silva Santos, Bruno Henrique; Sacchi, Lucia; Quaglini, Silvana; Moro, Claudia Maria Cabral
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.
Taggart, Jane; Liaw, Siaw-Teng; Yu, Hairong
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.
... 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 ...
Plantier, Morgane; Havet, Nathalie; Durand, Thierry; Caquot, Nicolas; Amaz, Camille; Biron, Pierre; Philip, Irène; Perrier, Lionel
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.
Legaz-García, María del Carmen; Menárguez-Tortosa, Marcos; Fernández-Breis, Jesualdo Tomás; Chute, Christopher G; Tao, Cui
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: firstname.lastname@example.org.
Kalenderian, Elsbeth; Walji, Muhammad; Ramoni, Rachel B
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.
Atkinson, Anne; Gonet, Patricia
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…
Yogeswaran, Parimalaranie; Wright, Graham
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.
Jing, Xia; Kay, Stephen; Marley, Tom; Hardiker, Nicholas R
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.
Lin, Sunny C; Adler-Milstein, Julia
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.
Ouagne, David; Hussain, Sajjad; Sadou, Eric; Jaulent, Marie-Christine; Daniel, Christel
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.
Martínez-Costa, Catalina; Menárguez-Tortosa, Marcos; Fernández-Breis, Jesualdo Tomás
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.
Filgueira, R; Odriazola, A; Simini, F
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
Gibson, Bryan; Butler, Jorie; Zirkle, Maryan; Hammond, Kenric; Weir, Charlene
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.
Filgueira, R.; Odriazola, A.; Simini, F.
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.
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
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.
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
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.
Garde, Sebastian; Hovenga, Evelyn; Buck, Jasmin; Knaup, Petra
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.
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.
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
Takian, Amirhossein; Petrakaki, Dimitra; Cornford, Tony; Sheikh, Aziz; Barber, Nicholas
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
... 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...
Kohl, Christian D; Garde, Sebastian; Knaup, Petra
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.
Kobayashi, Shinji; Kume, Naoto; Yoshihara, Hiroyuki
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.
Khan, Arshia A.
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…
Mense, Alexander; Hoheiser Pförtner, Franz; Sauermann, Stefan
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.
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
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.
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
... 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 ...
There has been considerable Research into the usage of the Internet for Business-to-Business (B-to-B) marketing activities in recent years. The need to understand how and why B-to-B companies utilize the Internet is important for researchers and practitioners alike. This study combines Davisâ€™ model-the Technology Acceptance Model (TAM)- and Rogerâ€™s Theory- the Innovation diffusion Theory (IDT) to understand the process of Internet adoption for marketing purposes. It makes a comprehensive ...
Grabenbauer, L; Fraser, R; McClay, J; Woelfl, N; Thompson, C B; Cambell, J; Windle, J
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.
Yang, Q.; Goding, S.; Hagenaars, M.
. Analyses of tumors for extracellular matrix (ECM) components and PECAM-1(+) vasculature, revealed that the I-R lesions are hypovascularized and contain very little laminin, collagen and fibronectin. In contrast, the I-P loose tumors are well-vascularized and they contain high amounts of ECM components....... Interestingly, the distribution pattern of ECM components in the I-P loose tumors is almost identical to that of the normal lung tissue, indicating that these tumors develop around the alveolar walls which provide the loose tumors with both a supporting tissue and a rich blood supply. In conclusion, tumor...... infiltration by activated NK and T cells correlates with the presence of ECM components and PECAM-1(+) vasculature in the malignant tissue. Thus, analysis of the distribution of ECM and vasculature in tumor biopsies may help select patients most likely to benefit from cellular adoptive immunotherapy....
Spigolon, Dandara N; Moro, Cláudia M C
The establishment of a Nursing Minimum Data Set (NMDS) can facilitate the use of health information systems. The adoption of these sets and represent them based on archetypes are a way of developing and support health systems. The objective of this paper is to describe the definition of a minimum data set for nursing in endometriosis represent with archetypes. The study was divided into two steps: Defining the Nursing Minimum Data Set to endometriosis, and Development archetypes related to the NMDS. The nursing data set to endometriosis was represented in the form of archetype, using the whole perception of the evaluation item, organs and senses. This form of representation is an important tool for semantic interoperability and knowledge representation for health information systems.
Wlömert, Nils; Eggers, Felix
In this paper, we compare the standard, single-response choice-based con- joint (CBC) approach with three extended CBC procedures in terms of their external predictive validity and their ability to realistically capture consumers’ willingness to pay: (1) an incentive-aligned CBC mechanism (IA-CBC),
Grotevant, Harold D; McRoy, Ruth G; Wrobel, Gretchen M; Ayers-Lopez, Susan
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.
Plantier, Morgane; Havet, Nathalie; Durand, Thierry; Caquot, Nicolas; Amaz, Camille; Philip, Irène; Biron, Pierre; Perrier, Lionel
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
Schweitzer, M; Lasierra, N; Hoerbst, A
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.
Garde, Sebastian; Hovenga, Evelyn; Buck, Jasmin; Knaup, Petra
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.
van der Linden, Helma; Kalra, Dipak; Hasman, Arie; Talmon, Jan
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.
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
Menárguez-Tortosa, Marcos; Fernández-Breis, Jesualdo Tomás
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.
Declerck, G; Hussain, S; Daniel, C; Yuksel, M; Laleci, G B; Twagirumukiza, M; Jaulent, M-C
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.
Bhuyan, Soumitra Sudip; Bailey-DeLeeuw, Sandra; Wyant, David K; Chang, Cyril F
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.
Philander, Kahlil S; Abarbanel, B Lillian
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.
Schechter, M D; Holter, F R
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.
Full Text Available The United Nations Academic Impact (UNAI Initiative has set forth 10 Basic Principles for higher education. In the present study, a 10 item self-report questionnaire measuring personal endorsement of these principles has been tested by self-report questionnaires with university and post-graduate students from Austria, China, Cyprus, India, Nigeria, and Slovakia (total N = 976, N = 627 female, mean age 24.7 years, s = 5.7. Starting from the assumptions of Moral Foundations Theory (MFT, we expected that personal attitudes toward the UNAI Basic Principles would be predicted by endorsement of various moral foundations as suggested by MFT and by the individual's degree of globalization. Whereas for the Austrian, Cypriot, and Nigerian sub- samples this assumption was largely confirmed, for the Chinese, Indian, and Slovak sub- samples only small amounts of the variance could be explained by regression models. All six sub-samples differed substantially with regard to their overall questionnaire responses: by five discriminant functions 83.6% of participants were classified correctly. We conclude that implementation of UNAI principles should adhere closely to the cultural requirements of the respective society and, where necessary should be accompanied by thorough informational campaigns about UN educational goals.
Nechtelberger, Andrea; Renner, Walter; Nechtelberger, Martin; Supeková, Soňa Chovanová; Hadjimarkou, Maria; Offurum, Chino; Ramalingam, Panchalan; Senft, Birgit; Redfern, Kylie
The United Nations Academic Impact (UNAI) Initiative has set forth 10 Basic Principles for higher education. In the present study, a 10 item self-report questionnaire measuring personal endorsement of these principles has been tested by self-report questionnaires with university and post-graduate students from Austria, China, Cyprus, India, Nigeria, and Slovakia (total N = 976, N = 627 female, mean age 24.7 years, s = 5.7). Starting from the assumptions of Moral Foundations Theory (MFT), we expected that personal attitudes toward the UNAI Basic Principles would be predicted by endorsement of various moral foundations as suggested by MFT and by the individual's degree of globalization. Whereas for the Austrian, Cypriot, and Nigerian sub- samples this assumption was largely confirmed, for the Chinese, Indian, and Slovak sub- samples only small amounts of the variance could be explained by regression models. All six sub-samples differed substantially with regard to their overall questionnaire responses: by five discriminant functions 83.6% of participants were classified correctly. We conclude that implementation of UNAI principles should adhere closely to the cultural requirements of the respective society and, where necessary should be accompanied by thorough informational campaigns about UN educational goals.
Nechtelberger, Andrea; Renner, Walter; Nechtelberger, Martin; Supeková, Soňa Chovanová; Hadjimarkou, Maria; Offurum, Chino; Ramalingam, Panchalan; Senft, Birgit; Redfern, Kylie
The United Nations Academic Impact (UNAI) Initiative has set forth 10 Basic Principles for higher education. In the present study, a 10 item self-report questionnaire measuring personal endorsement of these principles has been tested by self-report questionnaires with university and post-graduate students from Austria, China, Cyprus, India, Nigeria, and Slovakia (total N = 976, N = 627 female, mean age 24.7 years, s = 5.7). Starting from the assumptions of Moral Foundations Theory (MFT), we expected that personal attitudes toward the UNAI Basic Principles would be predicted by endorsement of various moral foundations as suggested by MFT and by the individual's degree of globalization. Whereas for the Austrian, Cypriot, and Nigerian sub- samples this assumption was largely confirmed, for the Chinese, Indian, and Slovak sub- samples only small amounts of the variance could be explained by regression models. All six sub-samples differed substantially with regard to their overall questionnaire responses: by five discriminant functions 83.6% of participants were classified correctly. We conclude that implementation of UNAI principles should adhere closely to the cultural requirements of the respective society and, where necessary should be accompanied by thorough informational campaigns about UN educational goals. PMID:29180977
Petersen, Liselotte; Sørensen, Thorkild I A
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.
Rangachari, P; Dellsperger, K C; Fallaw, D; Davis, I; Sumner, M; Ray, W; Fiedler, S; Nguyen, T; Rethemeyer, R
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
Miotto, Riccardo; Li, Li; Kidd, Brian A.; Dudley, Joel T.
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.
Senteio, Charles; Veinot, Tiffany; Adler-Milstein, Julia; Richardson, Caroline
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.
Beštek, Mate; Stanimirović, Dalibor
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
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,
Jenkings, K Neil; Wilson, Robert G
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.
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
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
Martin, Betty; Kelly, Mary Margaret; Towner-Thyrum, Elizabeth
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…
Sopha, Bertha Maya; Hertwich, Edgar G.; Kloeckner, Christian A.
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)
Lin, Ching-Heng; Lo, Ying-Chih; Hung, Pei-Yuan; Liou, Der-Ming
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.
Petersen, Liselotte; Sørensen, Thorkild I A
The Danish Adoption Register was established in 1963-1964 to explore the genetic and environmental contribution to familial aggregation of schizophrenia.......The Danish Adoption Register was established in 1963-1964 to explore the genetic and environmental contribution to familial aggregation of schizophrenia....
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...
Crump, Jacob K.; Del Fiol, Guilherme; Williams, Marc S.; Freimuth, Robert R.
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.
Haarbrandt, Birger; Wilschko, Andreas; Marschollek, Michael
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.
Sundvall, Erik; Wei-Kleiner, Fang; Freire, Sergio M; Lambrix, Patrick
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.
Ana Carolina Gravena Vanalli
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.
De la Torre-Díez, Isabel; Antón-Rodríguez, Míriam; Díaz-Pernas, Francisco Javier; Perozo-Rondón, Freddy José
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.
Bergmann, Joachim; Bott, Oliver J; Pretschner, Dietrich P; Haux, Reinhold
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.
Fernández-Cardeñosa, Gonzalo; de la Torre-Díez, Isabel; López-Coronado, Miguel; Rodrigues, Joel J P C
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.
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.
Bernstein, Knut; Tvede, Ida; Petersen, Jan; Bredegaard, Kirsten
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.
Liaw, Siaw-Teng; Taggart, Jane; Yu, Hairong
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.
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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)
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.
Zhang, Ning Jackie; Seblega, Binyam; Wan, Thomas; Unruh, Lynn; Agiro, Abiy; Miao, Li
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.
Behrens, Jess J; Wen, Xuejin; Goel, Satyender; Zhou, Jing; Fu, Lina; Kho, Abel N
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.
Høstgaard, Anna Marie Balling; Bertelsen, Pernille; Nøhr, Christian
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
Santos, M R; Bax, M P; Kalra, D
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
Spell, C S; Blum, T C
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.
Bossen, Claus; Groth Jensen, Lotte; Udsen, Flemming Witt
: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...
Weaver, Charlotte A; Teenier, Pamela
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 . 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.
Müller, Anders Riel
Som transnationalt adopteret vokser man ofte op med en fortælling om, at man er født i et fattigt land. Og at ens første forældre var fattige eller oplevede så store problemer, at de ikke så andre muligheder end at afgive en til adoption. Det er en historie, man bliver fortalt igen og igen. Og som...... man ender med at fortælle sig selv. Fattigdom er problemet. Adoption er løsningen. Eller er det?...
Porn, Alex Mateus; Peres, Leticia Mara; Didonet Del Fabro, Marcos
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.
Aakre, Christopher; Franco, Pablo Moreno; Ferreyra, Micaela; Kitson, Jaben; Li, Man; Herasevich, Vitaly
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
Kropf, Stefan; Krücken, Peter; Mueller, Wolf; Denecke, Kerstin
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.
Agarwal, M.K.; Frambach, R.T.
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
Rubio, F. Javier; Siddiqui, Afzal S.; Marnay, Chris; Hamachi,Kristina S.
This effort represents a contribution to the wider distributed energy resources (DER) research of the Consortium for Electric Reliability Technology Solutions (CERTS, http://certs.lbl.gov) that is intended to attack and, hopefully, resolve the technical barriers to DER adoption, particularly those that are unlikely to be of high priority to individual equipment vendors. The longer term goal of the Berkeley Lab effort is to guide the wider technical research towards the key technical problems by forecasting some likely patterns of DER adoption. In sharp contrast to traditional electricity utility planning, this work takes a customer-centric approach and focuses on DER adoption decision making at, what we currently think of as, the customer level. This study reports on Berkeley Lab's second year effort (completed in Federal fiscal year 2000, FY00) of a project aimed to anticipate patterns of customer adoption of distributed energy resources (DER). Marnay, et al., 2000 describes the earlier FY99 Berkeley Lab work. The results presented herein are not intended to represent definitive economic analyses of possible DER projects by any means. The paucity of data available and the importance of excluded factors, such as environmental implications, are simply too important to make such an analysis possible at this time. Rather, the work presented represents a demonstration of the current model and an indicator of the potential to conduct more relevant studies in the future.
Denne rapport er en systematisk forskningsoversigt over udenlandske erfaringer med adoption i forhold til anbringelse uden for hjemmet, fx familiepleje, institutionsanbringelse og hjemgivelse til de biologiske forældre. Konklusionerne i rapporten er overraskende entydige: Adopterede børn klarer sig...
Christoffersen, Mogens; Hammen, Ida; Raft Andersen, Karen
Denne rapport er en systematisk forskningsoversigt over udenlandske erfaringer med adoption i forhold til anbringelse uden for hjemmet, fx familiepleje, institutionsanbringelse og hjemgivelse til de biologiske forældre. Konklusionerne i rapporten er overraskende entydige: Adopterede børn klarer sig...
Siegel, Deborah H
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.
Kohler, Julie K.; Grotevant, Harold D.; McRoy, Ruth G.
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.…
Müller, Anders Riel
Som transnationalt adopteret vokser man ofte op med en fortælling om, at man er født i et fattigt land. Og at ens første forældre var fattige eller oplevede så store problemer, at de ikke så andre muligheder end at afgive en til adoption. Det er en historie, man bliver fortalt igen og igen. Og so...
Broadband is seen as a key infrastructure for developing the information society. For this reason many Governments are actively engaged in stimulating investments in broadband infrastructures and use of broadband services. This chapter compares a wide range of broadband strategies in the most suc....... Many countries have provided active support for stimulating diffusion of broadband and national variants of this type of policies in different countries are important for an explanation of national differences in adoption of broadband....
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
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.
Gabriel, Meghan E; Furukawa, Michael F; Vaidya, Varun
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.
Gritter, James L.
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…
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.
Pace, Cecilia S; Di Folco, Simona; Guerriero, Viviana; Santona, Alessandra; Terrone, Grazia
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
Aurora O. Amoah
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.
Scott Duncan, Therese; Hägglund, Maria
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.
Takeda, Toshihiro; Ueda, Kanayo; Nakagawa, Akito; Manabe, Shirou; Okada, Katsuki; Mihara, Naoki; Matsumura, Yasushi
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.
Bonnie L. Westra
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.
Maria Acciaiuoli Barbosa-Ducharne
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.
McCowan, Colin; Thomson, Elizabeth; Szmigielski, Cezary A; Kalra, Dipak; Sullivan, Frank M; Prokosch, Hans-Ulrich; Dugas, Martin; Ford, Ian
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.
Kralj, Damir; Kern, Josipa; Tonkovic, Stanko; Koncar, Miroslav
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.
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.
Hinterlong, James; Ryan, Scott
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.
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
水野, 正明; MIZUNO, Masaaki
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....
Anderson, Megan; Comrie, Rhonda
In 1999, the American Society of Anesthesiologists adopted preoperative fasting guidelines to enhance the quality and efficiency of patient care. Guidelines suggest that healthy, non-pregnant patients should fast six hours from solids and two hours from liquids. Although these guidelines are in place, studies suggest that providers are still using the blanket statement "NPO after midnight" without regard to patient characteristics, the procedure, or the time of the procedure. Using theory to help change provider's beliefs may help make change more successful. Rogers' Theory of Diffusion of Innovations can assist in changing long-time practice by laying the groundwork for an analysis of the benefits and disadvantages of proposed changes, such as changes to fasting orders, while helping initiate local protocols instead of additional national guidelines.
Dale, Ann Marie; Jaegers, Lisa; Welch, Laura; Barnidge, Ellen; Weaver, Nancy; Evanoff, Bradley A.
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
Siegel, Deborah H
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.
Trolley, Barbara C.; And Others
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…
Cecilia Serena ePace
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
Nielsen, Tobias Alsted
Running successful academic adoption programmes requires executive support, clear strategies, tactical resources and organisational agility. These two presentations will discuss the implementation of strategic academic adoption programs down to very concrete tool customisations to meet specific...
The number of international adoptions, many from developing countries, has doubled in the last 10 years. This podcast discusses ways adoptive families can protect their own health and the health of their new children.
Horn, J M
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.
Kropf, Stefan; Uciteli, Alexandr; Schierle, Katrin; Krücken, Peter; Denecke, Kerstin; Herre, Heinrich
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.
This article develops a model of the innovation-adoption decision. The model allows the economic situation of a utility and its perception of uncertainty associated with an innovation to affect the probability of adopting it. This model is useful when uncertainties affecting decisions about adoption persist throughout the diffusion process, thereby making the usual adoption model implicit in rate-of-diffusion studies inappropriate. An empirical test of the model finds that firm size, power pool size, and selected aspects of uncertainty about the innovation are significant predictors of US utility companies' decisions on whether or not to adopt nuclear power generation. 17 references, 2 tables
Duftschmid, Georg; Rinner, Christoph; Kohler, Michael; Huebner-Bloder, Gudrun; Saboor, Samrend; Ammenwerth, Elske
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
González-Ferrer, A; Peleg, M; Marcos, M; Maldonado, J A
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.
Duftschmid, Georg; Rinner, Christoph; Kohler, Michael; Huebner-Bloder, Gudrun; Saboor, Samrend; Ammenwerth, Elske
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
Jing, Xia; Kay, Stephen; Marley, Tom; Hardiker, Nicholas R.; Cimino, James J.
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
Norbayah BTE MOHD SUKI
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 affectingpeopleâs 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.
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.
Berbaum, Michael L.; Moreland, Richard L.
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…
Susan M. Abdel-Rahman
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
Strudwick, Gillian; Booth, Richard G; Bjarnadottir, Ragnhildur I; Collins, Sarah; Srivastava, Rani
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
The controversies in adoption have extended across a spectrum of policy and practice issues, and although the issues have become clear, resolution has not been achieved nor has consensus developed regarding a framework on which to improve the quality of adoption policy and practice. This book is the fourth in a series to use an ethics-based…
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.
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.
and time-consuming and requires CPG knowledge ... Step 4. Consider whether to adopt, adapt or contextualise. Step 4.1 Adopt. Decide to .... review. PLoS One 2013;8:e82915. http://dx.doi.org/10.1371/journal.pone.0082915. 14. AGREE ...
The number of international adoptions, many from developing countries, has doubled in the last 10 years. This podcast discusses ways adoptive families can protect their own health and the health of their new children. Created: 10/22/2007 by National Center for the Prevention, Detection and Control of Infectious Diseases (NCPDCID). Date Released: 10/24/2007.
Rebane, Kaja L.; Barham, Bradford L.
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.
Papoutsi, Chrysanthi; Reed, Julie E; Marston, Cicely; Lewis, Ruth; Majeed, Azeem; Bell, Derek
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
Raudaskoski, Pirkko Liisa
The paper discusses an empirical analysis which highlights the multimodal nature of identity construction. A documentary on transnational adoption provides real life incidents as research material. The incidents involve (or from them emerge) various kinds of multimodal resources and participants...
Full Text Available This paper addresses the adoption of the Euro currency in 2014, as estimated in the National Programme. Based on the convergence criteria analysis on the current national background, we can foresee an earlier monetary integration.
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
G.O. Ofori-Dwumfuo; Betty A. Dankwah
This study looks at the benefits, challenges and barriers in adopting Internet banking at a major bank in Ghana. The development of the Internet is changing the way financial services are provided in Ghana. The Internet banking facility has resulted in new ways of delivering banking services. The research is a case study based on the staffs that has worked with the bank for more than three years. In evaluating benefits, challenges and barriers to the bank in adopting Internet banking, intervi...
Lauterbach , Jens; Mueller , Benjamin
Part 1: IS/IT Implementation and Appropriation; International audience; Information Systems (IS) are omnipresent in today’s organizations. While much research has been performed on adoption, implementation, and use of IS, still many practitioners are faced with IS change endeavors in organizations that equal “death march” projects and fail before or directly after go-live. Research with a positivist stance has thoroughly studied factors that describe individuals’ intentions to adopt or use te...
Full Text Available There are many factors that can affect the process of adopting Agile methods during software developing. This paper illustrates the critical factors in Agile methods adoption in software organizations. To present the success and failure factors, an exploratory study is carried out among the critical factors of success and failure from existing studies. Dimensions and Factors are introduced utilizing success and failure dimensions. The mind map was used to clarify these factors.
Kushniruk, Andre W; Kuo, Mu-Hsing; Parapini, Eric; Borycki, Elizabeth M
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.
Evans, Elizabeth M. Wertz
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…
Chen, Robert; Su, Hang; Khalilia, Mohammed; Lin, Sizhe; Peng, Yue; Davis, Tod; Hirsh, Daniel A; Searles, Elizabeth; Tejedor-Sojo, Javier; Thompson, Michael; Sun, Jimeng
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
Talkington, Anne; Dantoin, Claudia; Durrett, Rick
Modified T cells that have been engineered to recognize the CD19 surface marker have recently been shown to be very successful at treating acute lymphocytic leukemias. Here, we explore four previous approaches that have used ordinary differential equations to model this type of therapy, compare their properties, and modify the models to address their deficiencies. Although the four models treat the workings of the immune system in slightly different ways, they all predict that adoptive immunotherapy can be successful to move a patient from the large tumor fixed point to an equilibrium with little or no tumor.
Levine, Matthew E; Albers, David J; Hripcsak, George
Time series analysis methods have been shown to reveal clinical and biological associations in data collected in the electronic health record. We wish to develop reliable high-throughput methods for identifying adverse drug effects that are easy to implement and produce readily interpretable results. To move toward this goal, we used univariate and multivariate lagged regression models to investigate associations between twenty pairs of drug orders and laboratory measurements. Multivariate lagged regression models exhibited higher sensitivity and specificity than univariate lagged regression in the 20 examples, and incorporating autoregressive terms for labs and drugs produced more robust signals in cases of known associations among the 20 example pairings. Moreover, including inpatient admission terms in the model attenuated the signals for some cases of unlikely associations, demonstrating how multivariate lagged regression models' explicit handling of context-based variables can provide a simple way to probe for health-care processes that confound analyses of EHR data.
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...
Mahmoudvand, Zahra; Kamkar, Mehran; Shahmoradi, Leila; Nejad, Ahmadreza Farzaneh
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.
Pfeifer, Eric; Manojlovich, Milisa; Adler-Milstein, Julia
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
Westermeyer, Joseph; Yoon, Gihyun; Amundson, Carla; Warwick, Marion; Kuskowski, Michael A
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.
Frandsen, Sanne; Morsing, Mette; Vallentin, Steen
Purpose – The purpose of this paper is to explore the relationship between sustainability adoption and internal legitimacy construction. Design/methodology/approach – The paper is designed as a critical inquiry into existing research and practice on sustainability adoption, illustrated by two...... corporate vignettes. Findings – Prior studies tend to assume that awareness raising is a sufficient means to create employee commitment and support for corporate sustainability programs, while empirical observations indicate that managerial disregard of conflicting interpretations of sustainability may...... result in the illegitimacy of such programs. Originality/value – The authors suggest that a loosely coupled approach to sustainability adoption is a productive way to understand internal legitimacy construction, as it appreciates complexity and polyphony....
In England, it is illegal under the Adoption Act 1958 to pay or reward anyone in an effort to adopt a child. A family court was asked in this case whether a surrogacy arrangement involving the payment of 5,000 pounds violated the Act. The applicants, a husband and wife, were unable to have children and had entered into an informal arrangement with a woman who agreed to engage in sexual intercourse with the husband and bear a child for the couple in exchange for 10,000 pounds. Because the surrogate wrote a book about her experience from which she made money, and sincerely wanted to help out the childless couple, she accepted only half of her fee. Convinced that the surrogate arrangement was not commercial in nature, the court found no violation of English law, authorized the payment to the mother, and authorized adoption of the child by the father and his wife.
Full Text Available Agile software development can be made successful, but there is no well-defined way how to achieve this. The problem is that the successful adoption of agile methods and practices is a complex process and this process should be customizable for a particular organization or a team. This research focuses on identification of agile methods and practices. Result of the research is the ranking of agile methods, practices and their usage trends. As some terms of agile software development are interpreted differently in different organizations and teams, terminology used is analyzed. Results of the research can be used as a reference material for those who are planning to adopt agile methods or are looking for the next agile practice to implement. Results will be used for the development of an expert system to support agile adoption.
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.
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
Tan, Tony; Mahoney, Emily; Jackson, Andrea; Rice, Jessica
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).
Grotevant, Harold D.; McRoy, Ruth G.
Noting social and demographic changes provoking a trend toward openness in adoption practice, this book presents the findings from a nationwide study examining the impact of variations in openness in adoption on participants in the adoptive kinship network: adopted children, adoptive parents, and the children's birth parents. The first chapter of…
This study analyzes social network effects on Kenyan smallholders' decision to adopt improved natural resource management techniques. These effects are decomposed into effects from social influence and learning through networks (strong ties), group effects, weak ties effects, informal finance, and conflicts arising from technological externalities, controlling for non-network effects.
Christiansen, Ellen; Nyvang, Tom
a systemic, Bateson-inspired, understanding of learning and based on data from observation, qualitative interviews, and surveys, a number of barriers to adoption at the organisational level are identified, all requiring management initiatives if the application is to fully unfold its potential....
-, č. 414 (2010), s. 1-61 ISSN 1211-3298 R&D Projects: GA MŠk LC542 Institutional research plan: CEZ:MSM0021620846 Keywords : technology adoption * stagnation * economic integration * political fragmentation Subject RIV: AH - Economics http://www.cerge-ei.cz/pdf/wp/Wp414.pdf
Bossen, Claus; Jensen, Lotte Groth; Udsen, Flemming Witt
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
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
Gagnon, Marie-Pierre; Payne-Gagnon, Julie; Breton, Erik; Fortin, Jean-Paul; Khoury, Lara; Dolovich, Lisa; Price, David; Wiljer, David; Bartlett, Gillian; Archer, Norman
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
Bijlveld, P.C. (Paul); Riezebos, P. (Peter); Wierstra, E. (Erik)
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,
Aguilera Díaz, Jerónimo; Arias, Antonio Eduardo; Budalich, Cintia Mabel; Benítez, Sonia Elizabeth; López, Gastón; Borbolla, Damián; Plazzotta, Fernando; Luna, Daniel; de Quirós, Fernán González Bernaldo
This paper describes the development and implementation of a web based electronic health record for the Homecare Service program in the Hospital Italiano de Buenos Aires. It reviews the process of the integration of the new electronic health record to the hospital information system, allowing physicians to access the clinical data repository from their Pc's at home and with the capability of consulting past and present history of the patient health care, order, tests, and referrals with others professionals trough the new Electronic Health Record. We also discuss how workflow processes were changed and improved for the physicians, nurses, and administrative personnel of the Homecare Services and the educational methods used to improve acceptance and adoption of these new technologies. We also briefly describe the validation of physicians and their field work with electronic signatures.
... Dynamics > Adoption & Foster Care > Inducing Lactation: Breastfeeding for Adoptive Moms Family Life Listen Español Text Size Email Print Share Inducing Lactation: Breastfeeding for Adoptive Moms Page Content Article Body A growing number ...
Jones, Veronnie F; Schulte, Elaine E
Each year, more children join families through adoption. Pediatricians have an important role in assisting adoptive families in the various challenges they may face with respect to adoption. The acceptance of the differences between families formed through birth and those formed through adoption is essential in promoting positive emotional growth within the family. It is important for pediatricians to be aware of the adoptive parents' need to be supported in their communication with their adopted children.
Helder, Emily J; Mulder, Elizabeth; Gunnoe, Marjorie Linder
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.
Purpose - Proposes providing an insight about factors affecting business-to-business e-commerce adoption and implementation in small to medium-sized enterprises (SMEs), highlighting similarities and differences between Danish and Australian SMEs. Design/methodology/approach - The research...... conducted in Danish and Australian companies. Findings - The findings both corroborate previous results about significant factors affecting SMEs' b-to-b e-commerce adoption and implementation and provide new, interesting insights. The study also finds many similarities and differences between Denmark...... and Australia. Research limitations/implications - The main limitation relates to the difficulty of generalization of the findings to a larger population of SMEs. To overcome this, a statistical survey is planned to be conducted in the future. Practical implications - The results of the empirical research...
Raudaskoski, Pirkko; McIlvenny, Paul
In recent years, fields such as discursive psychology have paid attention to the social, instead of solely individual, character of emotions, bringing to the fore the interactional organisation of affect displays. In the same vein, other ‘inner’ processes, such as memory, are studied from...... are interactionally occasioned. Our special concern is with how the past is built into the present through memory work that is actualised and performed not just through language but also through embodied attention such as body posture, gaze and gestures. In other words, we study how the past is folded into the now...... of this research is to better understand the relationships between multimodality, embodiment, interaction and affect. 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...
Cardoso de Moraes, João Luís; de Souza, Wanderley Lopes; Pires, Luís Ferreira; do Prado, Antonio Francisco
In Pervasive Healthcare, novel information and communication technologies are applied to support the provision of health services anywhere, at anytime and to anyone. Since health systems may offer their health records in different electronic formats, the openEHR Foundation prescribes the use of archetypes for describing clinical knowledge in order to achieve semantic interoperability between these systems. Software agents have been applied to simulate human skills in some healthcare procedures. This paper presents a methodology, based on the use of openEHR archetypes and agent technology, which aims to overcome the weaknesses typically found in legacy healthcare systems, thereby adding value to the systems. This methodology was applied in the design of an agent-based system, which was used in a realistic healthcare scenario in which a medical staff meeting to prepare a cardiac surgery has been supported. We conducted experiments with this system in a distributed environment composed by three cardiology clinics and a center of cardiac surgery, all located in the city of Marília (São Paulo, Brazil). We evaluated this system according to the Technology Acceptance Model. The case study confirmed the acceptance of our agent-based system by healthcare professionals and patients, who reacted positively with respect to the usefulness of this system in particular, and with respect to task delegation to software agents in general. The case study also showed that a software agent-based interface and a tools-based alternative must be provided to the end users, which should allow them to perform the tasks themselves or to delegate these tasks to other people. A Pervasive Healthcare model requires efficient and secure information exchange between healthcare providers. The proposed methodology allows designers to build communication systems for the message exchange among heterogeneous healthcare systems, and to shift from systems that rely on informal communication of actors to
Notes that adoption agencies have developed few specific policies on the issue of lesbian and gay adoption. Provides an overview of key considerations about homosexual adopters, including beliefs and values of agency professionals, the legal and social ramifications of adoption into a relationship not based on marriage, and possible consequences…
... FOR IMPLEMENTING NEPA § 230.21 Adoption. See 40 CFR 1506.3. A district commander will normally adopt... recirculated as provided in 40 CFR 1506.3 (b) or (c), the adopted EIS with the supplement, if any, will be processed in accordance with this regulation. A district commander may also adopt another agency's EA/FONSI. ...
... potential, and spread their wings when given the loving and firm foundation of family. Adoptive families... to ensure that all qualified caregivers have the ability to serve as adoptive families. This year, on... care adoptions as part of my Administration's support for this important day. Adoptive families are...
Whitt, Karen J; Eden, Lacey; Merrill, Katreena Collette; Hughes, Mckenna
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.
Nelson, Hal T.
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.
Full Text Available Introduction: Electronic Health Record contains all the information related to the health of citizens, from before birth to death have been consistently over time is electronically stored and will be available without regard to location or time all or part of it to authorized persons. The acceptance of EHR by citizens is important in successful implementation of it. The aim of this study was to determine the attitudes and behaviors related to the introduction of electronic health records among Shiraz university student. Method:The present study is a cross-sectional descriptive survey. The study population consisted of all Shiraz University students. The data gathering tool was a questionnaire and data were analyzed in SPSS v.16 software, using descriptive statistical tests. Also, the samples, i.e. 384 students, were selected through convenient sampling. Results: The results showed that most of the students kept their medical records at home to show them to a specialist and only 15% of them were familiar with the Electronic Health Records term. The use of Electronic Health Records for Maintenance of drug prescriptions was of the most importance. Conclusion: Among the students who are educated class and the source of change, the university students’ familiarity with Electronic Health Records is too low and most of them were not even familiar with its name and it is very important to implement this system familiarize the users on how to use it sufficiently
Mense, Alexander; Hoheiser-Pförtner, Franz; Schmid, Martin; Wahl, Harald
Working with health related data necessitates appropriate levels of security and privacy. Information security, meaning ensuring confidentiality, integrity, and availability, is more organizational, than technical in nature. It includes many organizational and management measures, is based on well-defined security roles, processes, and documents, and needs permanent adaption of security policies, continuously monitoring, and measures assessment. This big challenge for any organization leads to implementation of an information security management system (ISMS). In the context of establishing a regional or national electronic health record for integrated care (ICEHR), the situation is worse. Changing the medical information exchange from on-demand peer-to-peer connections to health information networks requires all organizations participating in the EHR system to have consistent security levels and to follow the same security guidelines and rules. Also, the implementation must be monitored and audited, establishing cross-organizational information security management systems (ISMS) based on international standards. This paper evaluates requirements and defines basic concepts for an ISO 27000 series-based cross-organizational ISMS in the healthcare domain and especially for the implementation of the nationwide electronic health record in Austria (ELGA).
Sergio Rodrigo Martinez
Full Text Available The legislature, with the enactment of the Statute of Children and Adolescents, now provides the named posthumous adoption, allowing the death of the adopter, in the course of the procedure does not generate the extinction pleaded adoption. Has the purpose to show that, notwithstanding the absence of such law, the construction of new adopters and adopted by families are recognized, since permeated the socially demonstrated affection, even in passing the death of the person occurs before you have to start legal formalization of the adoption petition, thus characterizing the figure of posthumous adoption without prior judicial manifestation.
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
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.
This bachelor´s work was written based on personal experience and practice with a family in which a pre-school child with ADHD syndrom lives. The intended objective is to provide pieces of advice to many parents. This work could serve as a guide in searching effective strategies for a child with attention and hyperactivity deficit disorder. The second objective is to share experience and educational methods when dealing with an adopted child diagnosed with the ADHD syndrom at the age of three...
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.
Ge, Xiaojia; Natsuaki, Misaki N.; Martin, David; Leve, Leslie; Neiderhiser, Jenae; Shaw, Daniel S.; Villareal, Georgette; Scaramella, Laura; Reid, John; Reiss, David
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
Pak, Wesley Chong Y.
Providing primary health and specialty services to 3.4 million rural and highly rural veterans is a challenging task because of geographic barriers and the uneven distribution of rural healthcare providers. Although the Veterans Health Administration is hoping that technology such as telemedicine expands availability of specialties' access to…
Liang, Zhaohui; Liu, Jun; Ou, Aihua; Zhang, Honglai; Li, Ziping; Huang, Jimmy Xiangji
Computer-aided medical decision-making (CAMDM) is the method to utilize massive EMR data as both empirical and evidence support for the decision procedure of healthcare activities. Well-developed information infrastructure, such as hospital information systems and disease surveillance systems, provides abundant data for CAMDM. However, the complexity of EMR data with abstract medical knowledge makes the conventional model incompetent for the analysis. Thus a deep belief networks (DBN) based model is proposed to simulate the information analysis and decision-making procedure in medical practice. The purpose of this paper is to evaluate a deep learning architecture as an effective solution for CAMDM. A two-step model is applied in our study. At the first step, an optimized seven-layer deep belief network (DBN) is applied as an unsupervised learning algorithm to perform model training to acquire feature representation. Then a support vector machine model is adopted to DBN at the second step of the supervised learning. There are two data sets used in the experiments. One is a plain text data set indexed by medical experts. The other is a structured dataset on primary hypertension. The data are randomly divided to generate the training set for the unsupervised learning and the testing set for the supervised learning. The model performance is evaluated by the statistics of mean and variance, the average precision and coverage on the data sets. Two conventional shallow models (support vector machine / SVM and decision tree / DT) are applied as the comparisons to show the superiority of our proposed approach. The deep learning (DBN + SVM) model outperforms simple SVM and DT on two data sets in terms of all the evaluation measures, which confirms our motivation that the deep model is good at capturing the key features with less dependence when the index is built up by manpower. Our study shows the two-step deep learning model achieves high performance for medical
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.
Viana, Andres G; Welsh, Janet A
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.
Khalilia, Mohammed; Choi, Myung; Henderson, Amelia; Iyengar, Sneha; Braunstein, Mark; Sun, Jimeng
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.
Staykova, Kalina Stefanova; Damsgaard, Jan
Numerous mobile payment solutions, which rely on new disruptive technologies, have been launched on the payment market in recent years. But despite the growing number of mobile payment apps, very few solutions have turned to be successful as the majority of them fail to gain a critical mass...... of users. In this paper, we investigate successful platform adoption strategies by using the Reach and Range Framework for Multi-Sided Platforms as a strategic tool to which mobile payment providers can adhere in order to tackle some of the main challenges they face throughout the evolution...... of their platforms. The analysis indicates that successful mobile payment solutions tend to be launched as one-sided platforms and then gradually be expanded into being two-sided. Our study showcases that the success of mobile payment platforms lies with the ability of the platform to balance the reach (number...
Wu, Yirong; Fan, Jun; Peissig, Peggy; Berg, Richard; Tafti, Ahmad Pahlavan; Yin, Jie; Yuan, Ming; Page, David; Cox, Jennifer; Burnside, Elizabeth S.
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.
Good, Gretchen A.
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…
... agreements can be useful tools in setting common expectations and should be filed before the adoption is ... allow, and some States require, adoptive parents to pay for the birth mother’s counseling (with various time ...
Bogataj, Kristina; Pucihar, Andreja; Sudzina, Frantisek
The paper presents a proposed research framework for identification of business model elements impacting Cloud Computing Adoption. We provide a definition of main Cloud Computing characteristics, discuss previous findings on factors impacting Cloud Computing Adoption, and investigate technology a...
The Challenges of Adopting International Financial Reporting System in Nigeria. ... Nigeria is going to adopt International Financial Reporting Standard (IFRS) ... its challenges and to proffer solutions that would ensure seamless transition in ...
80 respondents reveals that fadama farming was dominated by females ... determinants of respondents' adoption of fadama-related technologies, accounting for about 39% of .... of male adoption of improved practices could be related to the.
Factors Influencing Adoption of Cocoa Technologies Disseminated by Olam Organisation in ... Journal of Agricultural Research and Development ... level, household size, no of farm family assisting on the farm, management system adopted, ...
Grotevant, Harold D; Rueter, Martha; Von Korff, Lynn; Gonzalez, Christopher
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.
Farr, Rachel H; Grant-Marsney, Holly A; Grotevant, Harold D
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.
Farrington, Jay A.; And Others
This paper presents three case studies of innovation, based on interviews with six adoption agents. Key episodes and incidents which illustrate important principles are drawn from the experiences of these adoption agents. The case studies offer examples of both success and failure--by both internal and external adoption agents. They also emphasize…
Hobaiter, Catherine; Schel, Anne Marijke; Langergraber, Kevin; Zuberbühler, Klaus
The adoption of unrelated orphaned infants is something chimpanzees and humans have in common. Providing parental care has fitness implications for both the adopter and orphan, and cases of adoption have thus been cited as evidence for a shared origin of an altruistic behaviour. We provide new data
... CUSTODY, AND PATERNITY § 584.4 Adoption proceedings. (a) General. This chapter does not apply to those... soldier for leave to attend an adoption hearing on (date) has been granted. (ii) A request by the soldier for leave to attend an adoption hearing on (date), if made, would be approved. (iii) Due to military...
...) An agency may adopt a Federal draft or final environmental impact statement or portion thereof... are substantially the same, the agency adopting another agency's statement is not required to recirculate it except as a final statement. Otherwise the adopting agency shall treat the statement as a draft...
Samal, Lipika; D'Amore, John D; Bates, David W; Wright, Adam
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.
Weir, Charlene R; Staggers, Nancy; Gibson, Bryan; Doing-Harris, Kristina; Barrus, Robyn; Dunlea, Robert
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.
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
Natsuaki, Misaki N.; Leve, Leslie D.; Harold, Gordon T.; Neiderhiser, Jenae M.; Shaw, Daniel S.; Ganiban, Jody; Scaramella, Laura V.; Reiss, David
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
Williams, Jessica Roberts; Blais, Marissa Puckett; Banks, Duren; Dusablon, Tracy; Williams, Weston O; Hennessy, Kevin D
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.
Marquard, Jenna L; Garber, Lawrence; Saver, Barry; Amster, Brian; Kelleher, Michael; Preusse, Peggy
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
Grant-Marsney, Holly A.; Grotevant, Harold D.; Sayer, Aline G.
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
Grant-Marsney, Holly A; Grotevant, Harold D; Sayer, Aline G
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.
Sopha, Bertha Maya; Kloeckner, Christian A.; Hertwich, Edgar G.
Full text: This paper introduces agent-based modelling as a methodological approach to understand the effect of decision making mechanism on the adoption of heating systems in Norway. The model is used as an experimental/learning tool to design possible interventions, not for prediction. The intended users of the model are therefore policy designers. Primary heating system adoptions of electric heating, heat pump and wood pellet heating were selected. Random topology was chosen to represent social network among households. Agents were households with certain location, number of peers, current adopted heating system, employed decision strategy, and degree of social influence in decision making. The overall framework of decision-making integrated theories from different disciplines; customer behavior theory, behavioral economics, theory of planned behavior, and diffusion of innovation, in order to capture possible decision making processes in households. A mail survey of 270 Norwegian households conducted in 2008 was designed specifically for acquiring data for the simulation. The model represents real geographic area of households and simulates the overall fraction of adopted heating system under study. The model was calibrated with historical data from Statistics Norway (SSB). Interventions with respects to total cost, norms, indoor air quality, reliability, supply security, required work, could be explored using the model. For instance, the model demonstrates that a considerable total cost (investment and operating cost) increase of electric heating and heat pump, rather than a reduction of wood pellet heating's total cost, are required to initiate and speed up wood pellet adoption. (Author)
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, ...
Full Text Available Recently an increasing interest in studying and exploring the Iranian adoptive families has been evolved. Nevertheless, there are still frequent unknown factors about adoption in Iran. This study proceed to survey on characteristics of adoptive applicants due to programming and interventional needs in adoption counselling area. In this study, the descriptive survey method has been used and it involved all clients who referred to adoption counseling from March 2014 to March 2016. The clients were 411 adoptive applicants who ate-nded in semi-structured interview. Among the clients, 78% of them aimed at the adoption institutionally and 22% have followed the process illegally. Nearly half of the marriage life of infertile couples were spent to seek for infertility services. The findings indicated that nearly 27 percent of applicants are ready for adoption and other applicants require more preparation or canceling adoption process. Adoptive applicant screening process is critical and sensitive and consulting services facilitate this process; but the important point is the use of standard instrument and check-lists according to local and cultural conditions.
... Services (HHS). Some of the organizations that provide Electronic Health Records include health plans and providers. Health plans and most health-care providers are required to give you a Notice of Privacy Practices, which tells you how they keep any ...
Shook Mei Chan; Siohong Tih
Background: The purpose of this research is to examine a path model and the mediating effect of perceived communication convenience towards explaining industrial purchasing personnel’s Internet adoption for business purchasing related activities. It involves sequencing paths examining the predictive effect of perceived Internet skills and supplier support on perceived communication convenience. Consequently, perceived communication convenience would influence Internet adoption as commun...
Udoh, Emmanuel E.
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…
MARGARITA MAYO; JUAN CARLOS PASTOR; LUIS GOMEZ - MEJIA; CRISTINA CRUZ
Using a contingency perspective, this paper examines the conditions under which telecommuting is most likely to be adopted with data obtained from a sample of 122 CEOs. We hypothesized that telecommuting fits better in younger organizations, firms with a higher proportion of women and international employees in workforce, and companies that offer variable pay. We found evidence that confirm the prediction that telecommuting, a high proportion of international employees, and the use of variabl...
Koru, Güneş; Alhuwail, Dari; Topaz, Maxim; Norcio, Anthony F; Mills, Mary Etta
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
Patsiotis, A.; Hughes, T.; Webber, D. J.
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...
Korff, Lynn Von; Grotevant, Harold D.
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...
Full Text Available This article addresses a contemporary issue for the Republic of Moldova concerning psychological implications of the adoption process for prospective adopters. This demand is due to the fact that the majority of couples or people passing through the decision making adoption process are facing a number of conlicting emotions and spiritual states. Thereby, is signiicant to understand the adoption multidimensionality of social and intrapersonal components. Adoptive parents can feel themselves as victims of „the process”. For them, the assessment of living conditions, the assessment of moral and social guarantees, inclusion or exclusion as eligible adoptive parents, represent a procedure part, which generates frustrations and anxieties. Some of them, often suffer from lack of supporting and understanding, as family members point of view, friends and known people. Also, in this context, parents may face some frustrations related to the matching procedure harmonisation with long cogitation process of the child.
Full Text Available This article addresses a contemporary issue for the Republic of Moldova concerning psychological implications of the adoption process for prospective adopters. This demand is due to the fact that the majority of couples or people passing through the decision making adoption process are facing a number of conflicting emotions and spiritual states. Thereby, is significant to understand the adoption multidimensionality of social and intrapersonal components. Adoptive parents can feel themselves as victims of „the process”. For them, the assessment of living conditions, the assessment of moral and social guarantees, inclusion or exclusion as eligible adoptive parents, represent a procedure part, which generates frustrations and anxieties. Some of them, often suffer from lack of supporting and understanding, as family members point of view, friends and known people. Also, in this context, parents may face some frustrations related to the matching procedure harmonisation with long cogitation process of the child.
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.
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.
Why are new financial instruments created? This paper proposes the view that financial development arises as a response to the contractual needs of emerging technologies. Exogenous technological progress generates a demand for new financial instruments in order to share risk or overcome private information, for example. A model of the dynamics of technology adoption and the evolution of financial instruments that support such adoption is presented. Early adoption may be required for financial...
Cascino, Stefano; Gassen, Joachim
The adoption of IFRS by many countries worldwide fuels the expectation that financial accounting might become more comparable across countries. This expectation is opposed to an alternative view that stresses the importance of incentives in shaping accounting information. We provide early evidence on this debate by investigating the effects of mandatory IFRS adoption on the comparability of financial accounting information around the world. Our results suggest that while mandatory adoption of...
Chor, Ka Ho Brian; Wisdom, Jennifer P.; Olin, Su-Chin Serene; Hoagwood, Kimberly E.; Horwitz, Sarah M.
Building on a narrative synthesis of adoption theories by Wisdom et al. (2013), this review identifies 118 measures associated with the 27 adoption predictors in the synthesis. The distribution of measures is uneven across the predictors and predictors vary in modifiability. Multiple dimensions and definitions of predictors further complicate measurement efforts. For state policymakers and researchers, more effective and integrated measurement can advance the adoption of complex innovations such as evidence-based practices. PMID:24740175
Duarte, Ana; Saur- Amaral, Irina; Azevedo, Graça
Literature on IFRS adoption by countries concerning high quality, understandable and applicable IFRS in order to be worldwide accepted has generated a pertinent discussion, since the results presented in the literature are not unanimous on the adoption of IFRS and accounting quality. Soderstrom and Sun (2007) analyzed a research published in leading accounting journals selected from 1990’s on the consequences of IFRS adoption and found that the determinants of accounting quality after the ado...
This article involves a qualitative study of factors impacting the adoption of ICT solutions in the Danish facility management supply chain. The results show that there are a number of drivers and barriers that influence the adoption of ICT solutions in this service sector. These have been grouped...... concerned with ICT adoption, operations and service management (especially facilities management) as well as operation managers and ICT managers....
Mold, Freda; Ellis, Beverley; de Lusignan, Simon; Sheikh, Aziz; Wyatt, Jeremy C; Cavill, Mary; Michalakidis, Georgios; Barker, Fiona; Majeed, Azeem; Quinn, Tom; Koczan, Phil; Avanitis, Theo; Gronlund, Toto Anne; Franco, Christina; McCarthy, Mary; Renton, Zoë; Chauhan, Umesh; Blakey, Hannah; Kataria, Neha; Jones, Simon; Rafi, Imran
Innovators have piloted improvements in communication, changed patterns of practice and patient empowerment from online access to electronic health records (EHR). International studies of online services, such as prescription ordering, online appointment booking and secure communications with primary care, show good uptake of email consultations, accessing test results and booking appointments; when technologies and business process are in place. Online access and transactional services are due to be rolled out across England by 2015; this review seeks to explore the impact of online access to health records and other online services on the quality and safety of primary health care. To assess the factors that may affect the provision of online patient access to their EHR and transactional services, and the impact of such access on the quality and safety of health care. Two reviewers independently searched 11 international databases during the period 1999-2012. A range of papers including descriptive studies using qualitative or quantitative methods, hypothesis-testing studies and systematic reviews were included. A detailed eligibility criterion will be used to shape study inclusion. A team of experts will review these papers for eligibility, extract data using a customised extraction form and use the Grading of Recommendations Assessment, Development and Evaluation (GRADE) instrument to determine the quality of the evidence and the strengths of any recommendation. Data will then be descriptively summarised and thematically synthesised. Where feasible, we will perform a quantitative meta-analysis. Prospero (International Prospective Register of Systematic Reviews) registration number: crd42012003091.
Boucekkine, Raouf; Martinez, Blanca
In this paper, we introduce adoption costs in a canonical vintage capital model. Adoption costs take the form of a direct loss in production during a fixed period of time. We explicitly characterize the optimal machine replacement policy as a function of the adoption period. Using an explicit numerical method, we study the dynamics of the model. In particular, we find that while an increase in the adoption costs lowers the long run level of output, it also rises the magnitude of short run flu...
van der Sijde, P.C.; van Reekum, R.; Jeurissen, W; Rosendaal, B.W.
Our focus is on the agenda-setting of a purchasing cooperative aiming to have their members consider the adoption of a new logistics information system based on RFID. Adding "technology trust", we used the UTAUT model to determine the adoption intention of associated book retailers. Using structural
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
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.
Kline, Susan L; Chatterjee, Karishma; Karel, Amanda I
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.
LaCommare, Kristina Hamachi; Ryan Firestone; Zhou, Nan; Maribu,Karl; Marnay, Chris
Small-scale (100 kW-5 MW) on-site distributed generation (DG) economically driven by combined heat and power (CHP) applications and, in some cases, reliability concerns will likely emerge as a common feature of commercial building energy systems over the next two decades. Forecasts of DG adoption published by the Energy Information Administration (EIA) in the Annual Energy Outlook (AEO) are made using the National Energy Modeling System (NEMS), which has a forecasting module that predicts the penetration of several possible commercial building DG technologies over the period 2005-2025. NEMS is also used for estimating the future benefits of Department of Energy research and development used in support of budget requests and management decisionmaking. The NEMS approach to modeling DG has some limitations, including constraints on the amount of DG allowed for retrofits to existing buildings and a small number of possible sizes for each DG technology. An alternative approach called Commercial Sector Model (ComSeM) is developed to improve the way in which DG adoption is modeled. The approach incorporates load shapes for specific end uses in specific building types in specific regions, e.g., cooling in hospitals in Atlanta or space heating in Chicago offices. The Distributed Energy Resources Customer Adoption Model (DER-CAM) uses these load profiles together with input cost and performance DG technology assumptions to model the potential DG adoption for four selected cities and two sizes of five building types in selected forecast years to 2022. The Distributed Energy Resources Market Diffusion Model (DER-MaDiM) is then used to then tailor the DER-CAM results to adoption projections for the entire U.S. commercial sector for all forecast years from 2007-2025. This process is conducted such that the structure of results are consistent with the structure of NEMS, and can be re-injected into NEMS that can then be used to integrate adoption results into a full forecast.
Lyytinen, Kalle; Damsgaard, Jan
consisting of dyadic, hub and spoke, industry and community configurations. Specific forms or adoption analysis are suggested for each type of configuration. Overall, configuration analysis redirects IOIS adoption studies both at the theoretical and the methodological level, and a corresponding research...
Trujillo-Barrera, Andres; Pennings, Joost M.E.; Hofenk, Dianne
Understanding the motives and risk attitudes of producers to engage in sustainable practices is important for policy-makers who wish to increase the likelihood of adoption and improve the design of incentives. This article examines the underlying motives of producers to adopt sustainable
Gender, educational and household characteristics of respondents were significant determinants of respondents' adoption of Fadama-related technologies, accounting for about 39% of variability in adoption. High costs of water pumps, lack of agro-chemicals (fertilizers) and inadequate funds were major constraint to ...
Etsub [ ETSUB
forms often used are the probit (the standard cumulative distribution function) and ... are techniques for estimating the probability of an event (such as adoption) that can .... credit, availability of labour, etc., are expected to influence the adoption behaviour ..... and have the opportunity to adjust productive resources over time.
Ambrosino, Robert J.
This executive summary provides a brief description of the Model Adoption Exchange Payment System (MAEPS), a unique payment system aimed at improving the delivery of adoption exchange services throughout the United States. Following a brief introductory overview, MAEPS is described in terms of (1) its six components (registration, listing,…
This dissertation consists of three chapters that concern technology adoption and corporate finance. The first chapter analyzes the optimal investment strategy of two firms confronted with the option to adopt a new technology. The second chapter analyzes the link between debt maturity and term spread. The third chapter analyzes the role of debt financing on skyscraper heights.
Nov 26, 2014 ... study evaluated the determinants of farmers' decisions to adopt rainwater harvesting technology ... adoption of RWHT in the study area. ... In South Africa, agriculture involves large numbers of ... Study area and data collection ..... study in rainwater harvesting: A 2011 perspective. ... Kluwer Academic.
P. Selman (Peter); K.E. Cheney (Kristen)
textabstractThis report discusses concerns raised by participants of Thematic Area 3 (Intercountry Adoption Agencies and the HCIA) of the International Forum on Intercountry Adoption and Global Surrogacy held in August 2014. The aim is to report the views of those participating in this area on the
Freundlich, Madelyn; Peterson, Lisa
The past decade has seen an increase in cases where adoptive parents fail to receive accurate or complete information about a child's physical, emotional, or developmental problems or about the child's birth family and history. In these cases adoptive parents are confronted with extremely expensive medical care or mental health care. This…
Investigated adoptive parents' (N=42) attitudes toward the open birth record issues using a mail survey. Analysis indicated that parental fear was the most important variable. Most supported a measure allowing adult adoptees access to birth records, provided such access was agreeable to birth and adoptive parents. (JAC)
Kline, Susan L.; Karel, Amanda I.; Chatterjee, Karishma
Using theories of stigma (Goffman, 1963) and media frames (Iyengar, 1991), 292 news stories pertaining to adoption that appeared on major broadcast networks between 2001 and 2004 were analyzed. Media coverage of adoptees contained more problematic than positive depictions. Although birth parents were not always depicted, adoptive parent and…
Full Text Available Building Information Modeling is modeling technology and associated set of processes to produce, communicate and analyze digital information models for construction life cycle. Although many benefits can gain by the implementation of BIM, the pace adoption of BIM in Malaysia is still slow. There is an abundance of theories and models purporting to describe the drivers and mechanisms of how new technologies are adopted or diffused into a particular section of society or by individuals or stake players. In addition, many acceptance theories, which imply the adoption of new technologies and can be applied in every sector. This paper aims to present a review of the existing literature of BIM adoption and diffusion theory/model/framework in Malaysia. Researcher revealed the list of driven factors of Holistic BIM Adoption. In addition, it will deal with how to work effectively with groups that initially are relatively
Elam, Kit K; Harold, Gordon T; Neiderhiser, Jenae M; Reiss, David; Shaw, Daniel S; Natsuaki, Misaki N; Gaysina, Darya; Barrett, Doug; Leve, Leslie D
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).
Korff, Lynn Von; Grotevant, Harold D.
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
Von Korff, Lynn; Grotevant, Harold D
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
Veríssimo, Manuela; Salvaterra, Fernanda
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
Seol, Kyoung Ok; Yoo, Hyung Chol; Lee, Richard M.; Park, Ji Eun; Kyeong, Yena
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
Full Text Available Nepal is one of the top twenty countries where potato contributes substantially for the human diet. Enhancing adoption of improved potato varieties could impact on farmer’s income, household food and nutritional security. As such, using a multistage sampling procedure, a study was conducted to assess the determinants of improved potato varieties adoption in Nepal covering 180 samples in four districts, two in hills and two in Tarai region. The study revealed that; Kavre and Bardiya districts in the hills and Tarai, respectively, were dominated by improved potato varieties adoption. On the other hand, Dhankuta and Jhapa in the hills and Tarai, respectively, were dominated by local potato varieties adoption. The informal seed sources followed by agro-vet and market were the major sources for improved varietal adoption. Farmers’ accesses to training and formal seed sources were important factor determining improved potato varietal adoption. However, households with larger farm size were less likely to allocate more area for improved potato varieties as many of farmers were reluctant to take potato cultivation as agri-business and still follow subsistence farming. Potato R&D programs, therefore, need to strengthen formal seed system to enhance access to quality potato seeds and build producer’s capacity through regular training and exposer visits in order to improve adoption of improved potato varieties in Nepal.
Scholtens, B.; Dam, L.
We analyze the performance of banks that adopted the Equator Principles. The Equator Principles are designed to assure sustainable development in project finance. The social, ethical, and environmental policies of the adopters differ significantly from those of banks that did not adopt the Equator
Quiroz, Pamela Anne
The discursive practices of adoptive parents in two online transnational adoption forums (2006-2008) and observations of five international adoption workshops suggest that what Heather Jacobson described as "culture keeping", the cultural socialization of children that retains a sense of native group identity, is more aptly characterized as…
Beaupre, Adam J.; Reichwald, Reed; Zhou, Xiang; Raleigh, Elizabeth; Lee, Richard M.
Adopted Korean adolescents face the task of grappling with their identity as Koreans and coming to terms with their adoptive status. In order to explore these dual identities, the authors conducted a person-centered study of the identity profiles of 189 adopted Korean American adolescents. Using cluster analytic procedures, the study examined…
Diaz-Rainey, Ivan; Ashton, John K.
This paper examines the factors determining household adoption of energy efficiency eco-innovations. We do so by testing hypotheses grounded in diffusion and finance theory and the literature on the barriers to energy efficiency. Using two large surveys of UK households, we explore the adoption of nine technologies. Our results indicate ‘investment inefficiency’ amongst household adopters occurs for two reasons. First, contrary to notions of rational choice, we find a negative relationship between the investment return of technologies and their level of diffusion. Second, we show adopters of these technologies display characteristics broadly consistent with diffusion theory, contradicting the prediction of finance theory that investment return, not individual characteristics, should drive adoption. We also find that policy has played a role in inducing the diffusion of these technologies and that tenure and spill-over effects are important in adoption. Finally, adoption is motivated more by a desire to save money than by environmental concern. We conclude by giving examples of how our research can lead to better policy timing and targeting. -- Highlights: •We explore the factors driving household adoption of energy efficiency technologies. •We employ two high quality nationally representative cross sectional surveys. •There is a negative relationship between investment return and level of diffusion. •Adopters display characteristics broadly consistent with diffusion theory. •Policy interventions, tenure effects and spill-over effects also influence adoption
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.
Chihab, Jamila; Franke, Hildegard; McNicoll, Ian; Darlison, Matthew W
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.
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
Sandra Maria Alves-da-Silva
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.
Bruland, Philipp; Doods, Justin; Storck, Michael; Dugas, Martin
Data dictionaries provide structural meta-information about data definitions in health information technology (HIT) systems. In this regard, reusing healthcare data for secondary purposes offers several advantages (e.g. reduce documentation times or increased data quality). Prerequisites for data reuse are its quality, availability and identical meaning of data. In diverse projects, research data warehouses serve as core components between heterogeneous clinical databases and various research applications. Given the complexity (high number of data elements) and dynamics (regular updates) of electronic health record (EHR) data structures, we propose a clinical metadata warehouse (CMDW) based on a metadata registry standard. Metadata of two large hospitals were automatically inserted into two CMDWs containing 16,230 forms and 310,519 data elements. Automatic updates of metadata are possible as well as semantic annotations. A CMDW allows metadata discovery, data quality assessment and similarity analyses. Common data models for distributed research networks can be established based on similarity analyses.
... All Around Family Life Family Life Family Life Medical Home Family Dynamics Media Work & Play Getting Involved in Your ... Word Shop AAP Find a Pediatrician Family Life Medical Home Family Dynamics Adoption & Foster Care Communication & Discipline Types of ...
... All Around Family Life Family Life Family Life Medical Home Family Dynamics Media Work & Play Getting Involved in Your ... Word Shop AAP Find a Pediatrician Family Life Medical Home Family Dynamics Adoption & Foster Care Communication & Discipline Types of ...
IT is operationally critical and strategic to an enterprise's success. Implementing best professional management practices should be a management imperative. ITIL and COBIT are two of the most widely adopted frameworks for supporting IT governance and management improvement initiatives.
Prof. Adipala Ekwamu
decisions by protecting maize (Zea mays L.) crop in western Kenya from Striga. Key Words: Adopters, Zea ... Africa, efficient and profitable production of maize is severely constrained by ..... gap by understanding its source. African. Journal of ...
Tjørnehøj, Gitte; Mathiassen, Lars
SPI technology adoption and events that causes the process to drift in unpredictable directions. To further understand how management's attempt to control the process is complemented by drifting, this article investigates the role of improvisation in adoption of SPI technology in a Danish software......Most software firms struggle to take advantage of the potential benefits of software process improvement (SPI) as they adopt this technology into the complex and dynamic realities of their day-to-day operation. Such efforts are therefore typically fluctuating between management's attempt to control...... firm, SmallSoft, over a 10-year period (1996–2005). We found that micro-level and macro-level improvisations interacted, often in uncoordinated ways, to shape SPI technology adoption at SmallSoft. The improvisations enhanced employee creativity, motivation and empowerment, created momentum...
Bunker, Deborah; Kautz, Karlheinz; Nguyen, Anne Luu Thanh
Compatibility has been recognised as an important element in the adoption of IT innovations in organisations but as a concept it has been generally limited to technical or functional factors. Compatibility is also significant, however, with regard to value compatibility between the organisation......, and the adopted IT innovation. We propose a framework to determine value compatibility analysing the organisation's and information system's structure, practices and culture, and explore the value compatibility of an organisation with its adopted self-service computer-based information system. A case study......-service acceptance and training issues experienced by the case organisation. These findings add insight into the problems experienced with value compatibility and the adoption of the information systems, and show the potential use of the proposed framework in the detection of such problems.Journal of Information...
... landscape of privacy and confidentiality, including in adoption (Child Welfare Information Gateway, 2013b). With a simple Internet search or a review of social media sites, individuals may be able to quickly determine ...
Full Text Available Green IT has emerged as an important research topic in information systems and in other areas, such as business sustainability management. Some progress has been made in our understandings of green IT in a wide area of research topics, ranging from the green IT definition to the motivation for adopting green IT by organizations. This paper provides a holistic review and explanation of why organizations adopt green IT. Based on an extensive review of extant studies and a broad theoretical foundation, the paper presents a theoretical framework on organizational green IT adoption (OGITA. For researchers, the study provides a comprehensive review of previous green IT adoption studies and a roadmap for future research. For practitioners, the study provides managers and policy makers a systematic analytical framework in guiding their business decisions.
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
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.
Full Text Available Background Innovators have piloted improvements in communication, changed patterns of practice and patient empowerment from online access to electronic health records (EHR. International studies of online services, such as prescription ordering, online appointment booking and secure communications with primary care, show good uptake of email consultations, accessing test results and booking appointments; when technologies and business process are in place. Online access and transactional services are due to be rolled out across England by 2015; this review seeks to explore the impact of online access to health records and other online services on the quality and safety of primary health care.Objective To assess the factors that may affect the provision of online patient access to their EHR and transactional services, and the impact of such access on the quality and safety of health care.Method Two reviewers independently searched 11 international databases during the period 1999–2012. A range of papers including descriptive studies using qualitative or quantitative methods, hypothesis-testing studies and systematic reviews were included. A detailed eligibility criterion will be used to shape study inclusion .A team of experts will review these papers for eligibility, extract data using a customised extraction form and use the Grading of Recommendations Assessment, Development and Evaluation (GRADE instrument to determine the quality of the evidence and the strengths of any recommendation. Data will then be descriptively summarised and thematically synthesised. Where feasible, we will perform a quantitative meta-analysis.Prospero (International Prospective Register of Systematic Reviews registration number: crd42012003091.
Mahmoudvand, Zahra; Kamkar, Mehran; Shahmoradi, Leila; Nejad, Ahmadreza Farzaneh
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
Stefano Cascino; Joachim Gassen
The mandatory adoption of IFRS by many countries worldwide fuels the expectation that financial accounting information might become more comparable across countries. This expectation is opposed to an alternative view that stresses the importance of incentives in shaping accounting information. We provide early evidence on this debate by investigating the effects of mandatory IFRS adoption on the comparability of financial accounting information around the world. Using two comparability proxie...
Myung Joong Kwon
The objective of this paper is to theoretically explore the innovation, adoption and diffusion of service product. A theoretical model of the diffusion of service product is developed that takes account of transportation, waiting and searching casts in the adoption of service product. The main results of the model are; (1) the diffusion of service product is slower than that of the manufacturing equivalent and (2) the delivery or retail distribution service speeds up the diffusion of the manu...
Ramanna, Karthik; Sletten, Ewa
If the differences in accounting standards across countries reflect relatively stable institutional differences (e.g., auditing technology, the rule of law, etc.), why did several countries rapidly, albeit in a staggered manner, adopt IFRS over local standards in the 2003–2008 period? We test the hypothesis that perceived network benefits from the extant worldwide adoption of IFRS can explain part of countries' shift away from local accounting standards. That is, as more jurisdictions with ec...
Wang, Huaiqing; Chen, Kun; Xu, Dongming
Background: The rapid development of the blockchain technology and its various applications has rendered it important to understand the guidelines for adopting it. Methods: The comparative analysis method is used to analyze different dimensions of the maturity model, which is mainly based on the commonly used capability maturity model. Results: The blockchain maturity model and its adoption process have been discussed and presented. Conclusions: This study serves as a guide to institutions to...
Blockchain technology as a whole is experiencing a dramatic rise in adoption, in no small part due to the developer-friendly Ethereum network. While the number of smart-contract powered distributed applications (Dapps) continues to rise, they face many of the same challenges all new technologies face as they are introduced to a market. By modeling the consumer adoption of blockchain technology and analyzing scholarly literature on supply-side factors affecting the diffusion of technology, we ...
Ji, Juye; Brooks, Devon; Barth, Richard P; Kim, Hansung
Adopted children often are exposed to preadoptive stressors--such as prenatal substance exposure, child maltreatment, and out-of-home placements--that increase their risks for psychosocial maladjustment. Psychosocial adjustment of adopted children emerges as the product of pre- and postadoptive factors. This study builds on previous research, which fails to simultaneously assess the influences of pre- and postadoptive factors, by examining the impact of adoptive family sense of coherence on adoptee's psychosocial adjustment beyond the effects of preadoptive risks. Using a sample of adoptive families (n = 385) taking part in the California Long Range Adoption Study, structural equation modeling analyses were performed. Results indicate a significant impact of family sense of coherence on adoptees' psychosocial adjustment and a considerably less significant role of preadoptive risks. The findings suggest the importance of assessing adoptive family's ability to respond to stress and of helping families to build and maintain their capacity to cope with stress despite the sometimes fractious pressures of adoption.
Ge, Xiaojia; Natsuaki, Misaki N; Martin, David M; Leve, Leslie D; Neiderhiser, Jenae M; Shaw, Daniel S; Villareal, Georgette; Scaramella, Laura; Reid, John B; Reiss, David
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' postadoption adjustment shortly after the adoption placement (6 to 9 months). Data from birth fathers (N = 112), an understudied sample, were also 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' postplacement 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 postadoption adjustment.
Saiz, Stephen G.
This paper looks at three parties impacted by adoption: the adoptive parents, the adopted child, and the adoptive family. When working with adoptive parents, counselors should respect the strength of the couple, their commitment to parenthood, and the closeness that may develop from weathering the issue of childlessness. Adoptive parents are…
Full Text Available The adoption of unrelated orphaned infants is something chimpanzees and humans have in common. Providing parental care has fitness implications for both the adopter and orphan, and cases of adoption have thus been cited as evidence for a shared origin of an altruistic behaviour. We provide new data on adoptions in the free-living Sonso chimpanzee community in Uganda, together with an analysis of published data from other long-term field sites. As a default pattern, we find that orphan chimpanzees do not become adopted by adult group members but wherever possible associate with each other, usually as maternal sibling pairs. This occurs even if both partners are still immature, with older individuals effectively becoming 'child household heads'. Adoption of orphans by unrelated individuals does occur but usually only if no maternal siblings or other relatives are present and only after significant delays. In conclusion, following the loss of their mother, orphaned chimpanzees preferentially associate along pre-existing social bonds, which are typically strongest amongst maternal siblings.
Rahman, Md Motiar
Building Information Modelling (BIM) is getting increased attention day-by-day due to its many benefits, including clash detection, collaboration between contract parties, visualization future structure, optimized schedule and project control, waste control, design documentation, and harmonized facilities management. As such, many countries have already adopted BIM, and many other countries are exploring the potential of adopting it. However, it is still relatively new and unknown to some other countries like Brunei. This study was therefore undertaken to generate and/or gauge the awareness of Brunei construction industry participants, targeting adoption of BIM, through a structured questionnaire survey. Responses from 90 industry participants reveal that Brunei Construction industry is not well aware of BIM, lack the required technical knowledge and application in construction, and cost involvement. They are unsure about the potential benefits and barriers to implementing BIM. However, respondents are hopeful that BIM can bring the required changes in construction, willing to adopt BIM, expects cliental support with initial investment for its adoption, and believe that BIM is the future of construction project information management. On the whole, private sector was seen to be more aware on BIM than public sector. The study outcomes are expected to provide the policy makers a first-hand information on the industry awareness on BIM, which in turn help them for further exploration / examination and to design any action plan and guidelines for BIM adoption.
Dunton, Genevieve Fridlund; Vaughan, Elaine
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.
Bernedo Muñoz, Isabel María; Fuentes Rebollo, María Jesús; Fernández-Molina, M; Bersabé Morán, Rosa
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.
Hellerstedt, Wendy L; Madsen, Nikki J; Gunnar, Megan R; Grotevant, Harold D; Lee, Richard M; Johnson, Dana E
To conduct the first population-based surveillance in the United States of parents who adopted children from countries outside of the United States. A 556-item survey was mailed to 2,977 parents who finalized an international adoption in Minnesota between January 1990 and December 1998; 1,834 (62%) parents returned a survey. Eighty-eight percent of the parents reported transracial adoptions (97% of the parents were white); 57% of the adopted children were Asian; 60% were female; and on average, the children were 18 months-old at the time of placement. Only 15% of the parents reported household annual incomes less than $50,000 and 71% reported they had college educations. Sixty-one percent traveled to their child's country of birth prior to the adoption. Almost three-quarters involved their children in experiences related to their birth countries and 98% would recommend international adoption. Three-quarters of the parents believe that parental leave was an issue for them as they adopted. This is the first population-based survey of U.S. parents who have adopted internationally. The adoptive parents were socioeconomically different than birth parents in Minnesota and their families are most likely to be transracial. Because international adoption has become more prevalent, it is important to understand the strengths and needs of families that are created through this unique form of migration.
Asan, Onur; Holden, Richard J; Flynn, Kathryn E; Yang, Yushi; Azam, Laila; Scanlon, Matthew C
The purpose of this study was to explore providers' perspectives on the use of a novel technology, "Large Customizable Interactive Monitor" (LCIM), a novel application of the electronic health record system implemented in a Pediatric Intensive Care Unit. We employed a qualitative approach to collect and analyze data from pediatric intensive care physicians, pediatric nurse practitioners, and acute care specialists. Using semi-structured interviews, we collected data from January to April, 2015. The research team analyzed the transcripts using an iterative coding method to identify common themes. Study results highlight contextual data on providers' use routines of the LCIM. Findings from thirty six interviews were classified into three groups: 1) providers' familiarity with the LCIM; 2) providers' use routines (i.e. when and how they use it); and 3) reasons why they use or do not use it. It is important to conduct baseline studies of the use of novel technologies. The importance of training and orientation affects the adoption and use patterns of this new technology. This study is notable for being the first to investigate a LCIM system, a next generation system implemented in the pediatric critical care setting. Our study revealed this next generation HIT might have great potential for family-centered rounds, team education during rounds, and family education/engagement in their child's health in the patient room. This study also highlights the effect of training and orientation on the adoption patterns of new technology.
Renata Nogueira Braga
Full Text Available ABSTRACT This study investigates the association between mandatory International Financial Reporting Standards (IFRS adoption and corporate tax avoidance. In this study, tax avoidance is defined as a reduction in the effective corporate income tax rate through tax planning activities, whether these are legal, questionable, or even illegal. Three measures of tax avoidance are used and factors at the country and firm level (that have already been associated with tax avoidance in prior research are controlled. Using samples that range from 9,389 to 15,423 publicly-traded companies from 35 countries, covering 1999 to 2014, it is found that IFRS adoption is associated with higher levels of corporate tax avoidance, even when the level of book-tax conformity required in the countries and the volume of accruals are controlled, both of which are considered potential determinants of this relationship. Furthermore, the results suggest that after IFRS adoption, firms in higher book-tax conformity environments engage more in tax avoidance than firms in lower book-tax conformity environments. It is also identified that engagement in tax avoidance after IFRS adoption derives not only from accruals management, but also from practices that do not involve accruals. The main conclusion is that companies engage more in tax avoidance after mandatory IFRS adoption.
This presentation discussed drivers and incentives for the widespread adoption of electric vehicles (EVs) as well as the potential impacts on electric utility customers. For many drivers, the adoption of EVs will result in fuel cost savings of $1200 per year. Approximately 73 per cent of Canada's population is concentrated in urban areas. Ninety-five per cent of car trips are less than 30 km in distance. Canada's federal and provincial governments support the adoption of EVs. British Columbia (BC) currently has the most attractive combination of low electricity prices and high fuel costs in North America. Provincial sales tax rebates of up to $2000 are available for EV adopters, while carbon taxes are now being applied to fossil fuel users. New homes in Vancouver are required to provide dedicated charging circuits for EVs. The use of EVs will create new demands for customer service from fuel retailers, developers, fleets and consumer services. BC is expected to have one of the highest EV adoption rates in North America. Unconstrained EV charging is expected to impact the electricity grid by 2015. tabs., figs.
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.
Aklin, M.; Bayer, P.; Harish, S.P.; Urpelainen, J.
Innovation is one of the most important drivers of economic development. Even in developing countries, households have access to a wide array of new technologies. However, factors affecting households’ technology adoption decisions remain poorly understood. Using data on solar microgrid adoption from rural India, we investigate the determinants of household technology adoption. We offer all households identical solar products to avoid bias from product differentiation. Households pay a monthl...
Petta, Gabrielle A; Steed, Lyndall G
The issues experienced by adoptive parents when faced with an adult child's searching or reunion relationship with his or her birth family, how adoptive parents place themselves within this process, and the factors that influence their experience at this time were explored in a qualitative study of 21 adoptive parents. Themes derived from semistructured interviews are discussed, and implications for clinical practice and future research are suggested. Copyright (c) 2005 APA, all rights reserved.
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.
Navarro-Haro, Maria V; Harned, Melanie S; Korslund, Kathryn E; DuBose, Anthony; Chen, Tianying; Ivanoff, André; Linehan, Marsha M
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.
Aalbers, Rob; Van der Heijden, Eline; Potters, Jan; Van Soest, Daan; Vollebergh, Herman
We evaluate the impact of technology adoption subsidies on investment behavior in an individual choice experiment. In a laboratory setting professional managers are confronted with an intertemporal decision problem in which they have to decide whether or not to search for, and possibly adopt, a new technology. Technologies differ in the per-period benefits they yield, and their purchase price increases with the per-period benefits provided. We introduce a subsidy on the more expensive technologies (that also yield larger per-period benefits), and find that the subsidy scheme induces agents to search for and adopt these more expensive technologies even though the subsidy itself is too small to render these technologies profitable. We speculate that the result is driven by the positive connotation (affect) that the concept 'subsidy' invokes. (author)
Aalbers, Rob [Netherlands Bureau for Economic Policy Analysis, P.O. Box 80510, 2508 GM The Hague (Netherlands); Van der Heijden, Eline; Potters, Jan [CentER and Department of Economics, Tilburg University, P.O. Box 90153, 5000 LE Tilburg (Netherlands); Van Soest, Daan [Department of Spatial Economics/IVM, VU University, De Boelelaan 1105, 1081 HV Amsterdam (Netherlands); Vollebergh, Herman [Tinbergen Institute, Erasmus University Rotterdam and Netherlands Environmental Assessment Agency, P.O. Box 303, 3720 AH Bilthoven (Netherlands)
We evaluate the impact of technology adoption subsidies on investment behavior in an individual choice experiment. In a laboratory setting professional managers are confronted with an intertemporal decision problem in which they have to decide whether or not to search for, and possibly adopt, a new technology. Technologies differ in the per-period benefits they yield, and their purchase price increases with the per-period benefits provided. We introduce a subsidy on the more expensive technologies (that also yield larger per-period benefits), and find that the subsidy scheme induces agents to search for and adopt these more expensive technologies even though the subsidy itself is too small to render these technologies profitable. We speculate that the result is driven by the positive connotation (affect) that the concept 'subsidy' invokes. (author)
Goldberg, Abbie E; Smith, JuliAnna Z
Using a sample of 125 lesbian, gay, and heterosexual adoptive parent couples with young children (M = 6.32 years), this study examined predictors of direct socialization (preparation for adoptism, racism, and heterosexism) and indirect socialization (modeling interactions by responding to outsiders' inquiries about their child's adoptive status, racial background, or family structure). In terms of direct socialization, parents of older children tended to engage in more socialization around adoptism and heterosexism, and parents of daughters tended to engage in more socialization around racism and heterosexism. Greater perceived child interest in adoption was related to more direct socialization around adoptism. Parents of color reported more direct socialization around racism. Having a child of color was related to more direct socialization around heterosexism. Regarding indirect socialization, sexual minority parents reported more socialization around adoption and race. Greater perceived child interest in adoption was related to more indirect adoption socialization. Being more "out" was related to more indirect socialization around parent sexual orientation. (c) 2016 APA, all rights reserved).
Cunha-e-Sa, Maria A.; Balcao Reis, Ana; Roseta-Palma, Catarina
Technological change has played an important role in models of nonrenewable resource management, since its presence mitigates the depletion effect on extraction costs over time. We formalize the problem of a competitive nonrenewable resource extracting firm faced with the possibility of technology adoption. Based on a quadratic extraction cost function, our results show that the expected net benefits from adoption increase both with the size of the resource stock and with prices. A boundary that separates the region where expected net benefits are positive from the one where they are negative is derived. (author)
Roxana Maria BĂDÎRCEA
Full Text Available The costs and benefits of adopting a unique currency have been studied and outlined by the optimum currency areas theory. This theory of Mundell has suffered modifications, a series of economists identifying and introducing a series of subsequent or additional criteria in the analysis. Starting from the costs indicated by the optimum currency areas theory and its further developments, I have identified a series of factors that I believe to represent future risks for the Romanian economy within the process of adopting the unique euro currency.
Carlin, Bruce; Olafsson, Arna; Pagel, Michaela
financial fee payments and penalties, but differs cross-sectionally in the population. After adopting the new technology, Millennials and members of Generation X incur fewer financial fees and penalties, whereas Baby Boomers do not benefit from the technological advance. Millennials and Gen Xers save fees...... by using their credit cards rather than overdrafts to manage short-term liabilities. Moreover, Millennials shift some of their spending to discretionary entertainment, whereas members of Generation X remain more austere. Finally, while men tend to adopt new technology and access information at a higher...
This thesis contains the research on the key change adoptive agents/forces and the solu-tions to the world‟s rapidly growing and one of the most consumer facing industry. The trillions worth retail industries are undergoing the period of important restructuring inter-nally and externally. The author highlights the key factors that force the retail industry to adopt modern technologies for their daily business processes in order to be more competi-tive. The factors have been viewed in two pers...
Schimmel, Nancy; Love, Susan
Books can inform, reassure, and give young children the vocabulary to talk about adoption. This article presents and examines the language used to talk about adoption in eleven current children's books. Discusses surrogacy, adoption, "natural" parents, grief, "chosen-baby" stories, age at adoption, international adoption,…
Ng, Kenney; Ghoting, Amol; Steinhubl, Steven R; Stewart, Walter F; Malin, Bradley; Sun, Jimeng
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
The study was on the adoption of selected agricultural technologies of Anambra State Agricultural Development programme by small scale farmers in Anambra State. Data were collected from purposively sampled 120 farmers in the state using structured interview schedule. The data were analyzed using percentages and ...
The study focused on farmers under the fadama project scheme in Edo State, Nigeria with emphasis on the relationship between farmers\\' characteristics and adoption of recommended technologies. Analyses of data obtained from a random sample of 80 respondents reveals that fadama farming was dominated by females ...
Afendulis, Christopher C; Caudry, Daryl J; O'Malley, A James; Kemper, Peter; Grabowski, David C
To evaluate the impact of the Green House (GH) model on nursing home resident-level quality of care measures. Resident-level minimum data set (MDS) assessments merged with Medicare inpatient claims for the period 2005 through 2010. Using a difference-in-differences framework, we compared changes in care quality and outcomes in 15 nursing homes that adopted the GH model relative to changes over the same time period in 223 matched nursing homes that had not adopted the GH model. For individuals residing in GH homes, adoption of the model lowered readmissions and several MDS measures of poor quality, including bedfast residents, catheter use, and pressure ulcers, but these results were not present across the entire GH organization, suggesting possible offsetting effects for residents of non-GH "legacy" units within the GH organization. GH adoption led to improvement in rehospitalizations and certain nursing home quality measures for individuals residing in a GH home. The absence of evidence of a decline in other clinical quality measures in GH nursing homes should reassure anyone concerned that GH might have sacrificed clinical quality for improved quality of life. © Health Research and Educational Trust.
Levin, Michael; And Others
Michael Levin argues that data from the study are consistent with a black/white IQ difference that is significantly genetic. Richard Lynn maintains that adoption by middle-class, white families has no effect on intelligence. Waldman, Weinberg, and Scarr respond to these criticisms and support the original conclusions. (SLD)
... important task--the work of raising our sons and daughters. As we celebrate the contributions of adoptive parents across our Nation, let us also strive to eliminate discriminatory barriers that would separate... helping every child find a loving home. We have partnered with faith- based and community organizations...
Descriptive statistics and multiple regression analysis were used to analyse the field data The identified cassava production technologies at different stages of adoption by the respondents are use of improved cassava cuttings, use of herbicides/pesticides, Alternate row/crop geometry in a cassava /maize/yam intercrop, ...
Tjørnehøj, Gitte; Mathiassen, Lars
Most software firms struggle to take advantage of the potential benefits of software process improvement (SPI) as they adopt this technology into the complex and dynamic realities of their day-to-day operation. Such efforts are therefore typically fluctuating between management's attempt to contr...
Florman, Jean C.
This chapter introduces a University of Iowa effort to enhance and support active learning pedagogies in technology-enhanced (TILE) classrooms and three elements that proved essential to the campus-wide adoption of those pedagogies. It then describes the impact of those professional development efforts on the curricula and cultures of three…
Zailani, Suhaiza; Govindan, Kannan; Iranmanesh, Mohammad
generators of industrial waste that affect the quality of the natural environment. This study aims to investigate the determinants of green innovation adoption and its effect on firm performance. Data were gathered by surveying 153 firms in the Malaysian automotive supply chain industry. Data were analyzed...
The result of the varimax rotation revealed that the major constraints to adoption of cocoa technologies were socio-cultural, literacy and financial problems. It was therefore recommended that existing farmers' organizations should be strengthened through regular meetings and training by Olam organization to enhance rapid ...
This paper presents an analysis of an environmental justice (EJ) program adopted by the South Coast Air Quality Management District (SCAQMD) as a part of its regulation to phase out a toxic chemical used by dry cleaners. SCAQMD provided financial incentives to switch early and gave establishments in EJ neighborhoods priority in applying for…
Tengvard, Maria; Palm, Jenny (Linkoeping Univ., Dept. of Technology and Social Change, Linkoeping (Sweden)). e-mail: email@example.com
In Sweden in 2008, a 'new' concept for small-scale electricity production attracted massive media attention. This was mainly due to the efforts of Swedish company Egen El, which is marketing small-scale photovoltaics (PVs) and wind turbines to households, both homeowners and tenants. Their main selling point is simplicity: their products are so easy to install that everyone can do it. Autumn 2008 also saw IKEA announce that within three years it would market solar panels. How, then, do households perceive these products? Why would households choose to buy them? How do households think about producing their own electricity? Analysis of material based on in-depth interviews with members of 20 households reveals that environmental concerns supply the main motive for adopting PVs or micro wind power generation. In some cases, the adopting households have an extensively ecological lifestyle and such adoption represents a way to take action in the energy area. For some, this investment is symbolic: a way of displaying environmental consciousness or setting an example to others. For still others, the adoption is a protest against 'the system' with its large dominant actors or is a way to become self-sufficient. These microgeneration installations are rejected mainly on economic grounds; other motives are respect for neighbours and difficulties finding a place to install a wind turbine.
... shares with them the warmth, security, and unconditional love that will help them succeed. And yet, more than 100,000 children in America await this most basic support, and still more children abroad live without families. During National Adoption Month, we celebrate the acts of compassion and love that unite...
The value of successful adoption of Model Based System Engineering (MBSE) practices is hard to quantify. Most engineers and project managers look at the success in terms of cost. But there are other ways to quantify the value of MBSE and the steps necessary to achieve adoption. The Glenn Research Center (GRC) has been doing Model-Based Engineering (design, structural, etc.) for years, but the system engineering side has not. Since 2010, GRC has been moving from documents centric to MBSE/SysML. Project adoption of MBSE has been slow, but is steadily increasing in both MBSE usage and complexity of generated products. Sharing of knowledge of lessons learned in the implementation of MBSE/SysML is key for others who want to be successful. Along with GRC's implementation, NASA is working hard to increase the successful implementation of MBSE across all the other centers by developing guidelines, templates and libraries for projects to utilize. This presentation will provide insight into recent GRC and NASA adoption efforts, lessons learned and best practices.
This study examines the International Financial Accounting Reporting Standards adoption practices around the world and the way these practices are reflected in the financial statements of companies in different countries. It also examines the incentives/ motivations for the variations in the type of International Financial ...
Kebebe, E.G.; Oosting, S.J.; Baltenweck, I.; Duncan, A.J.
While there is a general consensus that using dairy technologies, such as improved breeds of dairy cows, can substantially increase farm productivity and income, adoption of such technologies has been generally low in developing countries. The underlying reasons for non-adoption of beneficial
Reppold, Caroline Tozzi; Hutz, Claudio Simon
Since the decade of 1980, the model of stress and coping proposed for the assessment of vulnerability of adoptive families emphasizes that the emotional adjustment of those adopted is moderated by variables such as institutionalization, the manner and age at which the adoption was revealed, the change of first name, and the contact with the biological family. The objective of this study was to investigate the relationship of these variables to the perceived parenting style, mood, and self-esteem of the adopted adolescents. Participants in the study were 68 adolescents, between the ages of 14 and 15, adopted during infancy through judicial channels. The adolescents responded to a questionnaire about the history of adoption and to scales of Parenting Styles, Depression and Self-esteem. The main results indicated that the late revelation of adoption and the change of the first name are connected to higher levels of depression and low self-esteem and to more frequent perceptions of negligent or authoritarian parenting style. The contact with the biological family was frequently mentioned among those who perceived their parents as authoritative and presented the best indicator of mood and self-esteem. These findings were discussed in light of the necessity for multidisciplinary actions which can improve the psychological adaptation of the adopting families.
Brown, Suzanne; Groza, Victor
The Hague Convention on the Protection of Children suggests that intercountry adoption be considered as a permanent care option only after other solutions within the child's country of origin have been exhausted. Data from the Child Behavior Checklist (CBCL) were examined for 478 Indian children ages 4-18 adopted domestically, adopted to Norway, and adopted to the United States. The CBCL has a reported reliability of .9 (Achenbach, 1991; Achenbach & Edelbrock, 1983) and contains five subscales assessing internalizing problems plus a summative Internalizing Scale, and three subscales assessing externalizing problems plus a summative Externalizing Scale. Perceptions of Norwegian, American, and Indian adoptive parents regarding their child's functioning were compared. Children adopted to Norway and the United States were perceived by their parents to be functioning significantly better behaviorally than children adopted within country, while controlling for age of child and gender of adoptive parent completing the CBCL. Policymakers should examine the evidence prioritizing within country adoption over intercountry adoption.
Full Text Available The Irish-American adoptions were a revolutionary way of dealing with Ireland’s ‘problem of the illegitimate child’. Ireland had long been promoted as a Catholic, and thus, a morally pure country. Having a child out of wedlock often resulted in the mother and child being shunned by their family and community and having little choice but to seek the help of church-run institutions. These institutions began facilitating illegal extraterritorial adoptions in 1947 to relieve the mounting pressures as those seeking their help continued to grow annually. These adoptions were heavily concerned with protecting the religious faith of the child, and this often took prominence over the quality of home. The adoptions were facilitated exclusively by these church-run institutions, allowing for complete control over the selection of prospective parents. The standards of these adoptions fell well below what was expected on the U.S. domestic scale, with no visits to the homes of prospective parents occurring, and crucially, there was no way to facilitate the reversal of an adoption. During the early life of the Irish-American adoptions, the Department of External Affairs had little involvement, only issuing passports for children that had been adopted. This changed however in 1951, as the ‘Jane Russell Case’ attracted front page media attention. The Russell case highlighted the lackadaisical approach of many of those within the Department to the exporting of some of Ireland’s youngest citizens. Undue publicity continued in the early 1950s, notably with the German newspaper, 8 Uhr Blatt. It is this media attention that forced the Department to finally address the glaring issues that severely hindered the success of the Irish-American adoptions. The Department was powerless to do anything once the child had been passed into the care of the adoptive parents. The Adoption Act 1952, marked a major turning point in the care of illegitimate children in
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.
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.
Toole, Jameson L; Cha, Meeyoung; González, Marta C
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.
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
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
Sánchez-de-Madariaga, Ricardo; Muñoz, Adolfo; Castro, Antonio L; Moreno, Oscar; Pascual, Mario
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.
Sánchez-de-Madariaga, Ricardo; Muñoz, Adolfo; Castro, Antonio L; Moreno, Oscar; Pascual, Mario
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