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      The preferences of users of electronic medical records in hospitals: quantifying the relative importance of barriers and facilitators of an innovation

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          Abstract

          Background

          Currently electronic medical records (EMRs) are implemented in hospitals, because of expected benefits for quality and safety of care. However the implementation processes are not unproblematic and are slower than needed. Many of the barriers and facilitators of the adoption of EMRs are identified, but the relative importance of these factors is still undetermined. This paper quantifies the relative importance of known barriers and facilitators of EMR, experienced by the users ( i.e., nurses and physicians in hospitals).

          Methods

          A discrete choice experiment (DCE) was conducted among physicians and nurses. Participants answered ten choice sets containing two scenarios. Each scenario included attributes that were based on previously identified barriers in the literature: data entry hardware, technical support, attitude head of department, performance feedback, flexibility of interface, and decision support. Mixed Multinomial Logit analysis was used to determine the relative importance of the attributes.

          Results

          Data on 148 nurses and 150 physicians showed that high flexibility of the interface was the factor with highest relative importance in their preference to use an EMR. For nurses this attribute was followed by support from the head of department, presence of performance feedback from the EMR and presence of decisions support. While for physicians this ordering was different: presence of decision support was relatively more important than performance feedback and support from the head of department.

          Conclusion

          Considering the prominent wish of all the intended users for a flexible interface, currently used EMRs only partially comply with the needs of the users, indicating the need for closer incorporation of user needs during development stages of EMRs. The differences in priorities amongst nurses and physicians show that different users have different needs during the implementation of innovations. Hospital management may use this information to design implementation trajectories to fit the needs of various user groups.

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          Most cited references10

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          Can electronic medical record systems transform health care? Potential health benefits, savings, and costs.

          To broadly examine the potential health and financial benefits of health information technology (HIT), this paper compares health care with the use of IT in other industries. It estimates potential savings and costs of widespread adoption of electronic medical record (EMR) systems, models important health and safety benefits, and concludes that effective EMR implementation and networking could eventually save more than $81 billion annually--by improving health care efficiency and safety--and that HIT-enabled prevention and management of chronic disease could eventually double those savings while increasing health and other social benefits. However, this is unlikely to be realized without related changes to the health care system.
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            Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions

            Background The main objective of this research is to identify, categorize, and analyze barriers perceived by physicians to the adoption of Electronic Medical Records (EMRs) in order to provide implementers with beneficial intervention options. Methods A systematic literature review, based on research papers from 1998 to 2009, concerning barriers to the acceptance of EMRs by physicians was conducted. Four databases, "Science", "EBSCO", "PubMed" and "The Cochrane Library", were used in the literature search. Studies were included in the analysis if they reported on physicians' perceived barriers to implementing and using electronic medical records. Electronic medical records are defined as computerized medical information systems that collect, store and display patient information. Results The study includes twenty-two articles that have considered barriers to EMR as perceived by physicians. Eight main categories of barriers, including a total of 31 sub-categories, were identified. These eight categories are: A) Financial, B) Technical, C) Time, D) Psychological, E) Social, F) Legal, G) Organizational, and H) Change Process. All these categories are interrelated with each other. In particular, Categories G (Organizational) and H (Change Process) seem to be mediating factors on other barriers. By adopting a change management perspective, we develop some barrier-related interventions that could overcome the identified barriers. Conclusions Despite the positive effects of EMR usage in medical practices, the adoption rate of such systems is still low and meets resistance from physicians. This systematic review reveals that physicians may face a range of barriers when they approach EMR implementation. We conclude that the process of EMR implementation should be treated as a change project, and led by implementers or change managers, in medical practices. The quality of change management plays an important role in the success of EMR implementation. The barriers and suggested interventions highlighted in this study are intended to act as a reference for implementers of Electronic Medical Records. A careful diagnosis of the specific situation is required before relevant interventions can be determined.
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              Mobile tablet use among academic physicians and trainees.

              The rapid adoption rate and integration of mobile technology (tablet computing devices and smartphones) by physicians is reshaping the current clinical landscape. These devices have sparked an evolution in a variety of arenas, including educational media dissemination, remote patient data access and point of care applications. Quantifying usage patterns of clinical applications of mobile technology is of interest to understand how these technologies are shaping current clinical care. A digital survey examining mobile tablet and associated application usage was administered via email to all ACGME training programs. Data regarding respondent specialty, level of training, and habits of tablet usage were collected and analyzed. 40% of respondents used a tablet, of which the iPad was the most popular. Nearly half of the tablet owners reported using the tablet in clinical settings; the most commonly used application types were point of care and electronic medical record access. Increased level of training was associated with decreased support for mobile computing improving physician capabilities and patient interactions. There was strong and consistent desire for institutional support of mobile computing and integration of mobile computing technology into medical education. While many physicians are currently purchasing mobile devices, often without institutional support, successful integration of these devices into the clinical setting is still developing. Potential reasons behind the low adoption rate may include interference of technology in doctor-patient interactions or the lack of appropriate applications available for download. However, the results convincingly demonstrate that physicians recognize a potential utility in mobile computing, indicated by their desire for institutional support and integration of mobile technology into medical education. It is likely that the use of tablet computers in clinical practice will expand in the future. Thus, we believe medical institutions, providers, educators, and developers should collaborate in ways that enhance the efficacy, reliability, and safety of integrating these devices into daily medical practice.
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                Author and article information

                Contributors
                Journal
                Implement Sci
                Implement Sci
                Implementation Science : IS
                BioMed Central
                1748-5908
                2014
                5 June 2014
                : 9
                : 69
                Affiliations
                [1 ]Health Sciences, specialization Policy and Organization of Health Care, VU University Amsterdam, Amsterdam, The Netherlands
                [2 ]Department of Sociology, Erasmus University Rotterdam, Rotterdam, The Netherlands
                [3 ]Department Quality of Care and Health Economics, National Institute for Public Health and the Environment (RIVM), Center for Nutrition, Prevention and Health Services, Bilthoven, The Netherlands
                [4 ]University Medical Center Utrecht, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
                [5 ]National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
                Article
                1748-5908-9-69
                10.1186/1748-5908-9-69
                4088913
                24898277
                802953f7-50d1-470c-a8ee-1b3148e02b9e
                Copyright © 2014 Struik et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 11 February 2014
                : 27 May 2014
                Categories
                Research

                Medicine
                electronic medical record,implementation,discrete choice experiment,adopter preferences,barriers and facilitators,clinicians

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