Review
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Year 2022, Volume: 4 Issue: 1, 1 - 20, 31.07.2022
https://doi.org/10.52675/jhesp.1082576

Abstract

References

  • Adler-Milstein, J., Everson, J., Lee, S.Y.D. (2015). EHR adoption and hospital performance: timerelated effects.” Health Services Research, 50,1751–71.
  • Häyrinen, K., Kaija, S., Pirkko, N. (2008). Definition, structure, content, use and ımpacts of electronic health records: a review of the research literature. International Journal of Medical Informatics, 77,291–304.
  • Hwang, Y., Dukyong Y., Kyoung E.A., Hee H., Woong R.P. (2007). Provider risk factors for medication administration error alerts: analyses of a large-scale closed-loop medication administration system using rfıd and barcode. Pharmacoepidemiology and Drug Safety, 16,228–228.
  • Jensen, T.B., Margunn A. (2007). How healthcare professionals ‘make sense’ of an electronic patient record adoption. Information Systems Management, 24,29–42.
  • Lin, S.C., Ashish K.J., Adler-Milstein, J. (2018). Electronic health records associated with lower hospital mortality after systems have time to mature. Health Affairs, 37,1128–35.
  • Linder, Jeffrey A., Jun Ma, David W. Bates, Blackford Middleton, and Randall S. Stafford. 2007. Electronic health record use and the quality of ambulatory care in the United States. Archives of Internal Medicine, 167,1400–1405.
  • Lorsbach, M., Gillessen A., Revering, K., Juhra, C. (2020). Information on medical history in the emergency department: Influence on therapy and diagnostic decisions. Medizinische Klinik -Intensivmedizin und Notfallmedizin.
  • Moreland, P.J., Gallagher, S., Bena, J.F., Morrison, S., Albert, N.M. (2012). Nursing satisfaction with implementation of electronic medication administration record. Computers Informatics Nursing, 30,97–103.
  • Ofir, B.A., L, Moshe. (2016). Assessing electronic health record systems in emergency departments: using a decision analytic bayesian model. Health Informatics Journal, 22,712–29.
  • Pevnick, J.M., Andrew, J., Herzik, X.L., Chen, I., Chithriki, M., Lysander J., Silka, P. (2015). Effect of computerized physician order entry on imaging study indication. Journal of the American College of Radiology, 12,70–74.
  • Poon, E.G., Wright, A., Steven R. Simon, Chelsea A. Jenter, Rainu Kaushal, Lynn A. Volk, Paul D. Cleary, Janice A. Singer, Alexis Z. Tumolo, and David W. Bates. (2010). Relationship between use of electronic health record features and health care quality: results of a statewide survey. Medical Care, 48,203–9.
  • Raymond, L., Paré, G., De Guinea, A.O., Poba-Nzaou, P., Trudel, M.C., Arsan, J.M., Micheneau., T. (2015). Improving performance in medical practices through the extended use of electronic medical record systems: a survey of canadian family physicians healthcare ınformation systems. Medical Informatics and Decision Making, 15,1–15.
  • Sadoughi, F., Khodaveisi, T., Ahmadi, H. (2019). The used theories for the adoption of electronic health record: a systematic literature review. Health and Technology, 9,383–400.
  • Sim, I., Gorman, P., Greenes, R. A., Haynes, R. B., Kaplan, B., Lehmann, H., Tang, P. C., (2001). Clinical decision support systems for the practice of evidence-based medicine. Journal of the American Medical Informatics Association, 8,527–34.
  • Uslu, A.M., Stausberg, J. (2008). Value of the electronic patient record: an analysis of the literature. Journal of Biomedical Informatics, 41,675–82.Wolfstadt, J.I., Gurwitz, J.H., Terry S.F., Lee, M., Kalkar,
  • S., Wu, W., Rochon, P.A. (2008). The effect of computerized physician order entry with clinical decision support on the rates of adverse drug events: a systematic review. Journal of General Internal Medicine 23,451–58.
  • Winkle, A.V., Rachelle, M.T., Champagne, M.G.M., Aucoin, J. (2009). Operating room delays meaningful use in electronic health record. Computers Informatics Nursing, 34,247–53.

Are Electronic Health Records Beneficial or Not?

Year 2022, Volume: 4 Issue: 1, 1 - 20, 31.07.2022
https://doi.org/10.52675/jhesp.1082576

Abstract

          There are numerous studies in the literature assessing the effect of Electronic Health Records (EHRs) on health institutions. Some found that EHRs improve quality, service delivery, and satisfaction, while others claim that EHRs are not helpful in these matters. The conceptual ambiguity in the literature regarding EHRs directly affects research results and might misinterpret those results. The purpose of this study is to examine the literature assessing the effect of EHRs on health care quality in terms of EHRs and related concepts. A comprehensive review was conducted of 702 articles on EHRs published between January 2000 and January 2021 and drawn from the Web of Science. The literature showed that 59.26% of the studies addressing the benefits of EHRs are not directly related to EHRs, but rather to EHR functions. Only 1.28% of all studies found in the search dealt with the benefits of EHRs, such as the ease of access provided by EHRs, a natural advantage of EHRs. This study provides valuable information to make more informed decisions about the definition and use of EHR-related concepts and removes the conceptual ambiguity regarding the benefits of EHRs. 

References

  • Adler-Milstein, J., Everson, J., Lee, S.Y.D. (2015). EHR adoption and hospital performance: timerelated effects.” Health Services Research, 50,1751–71.
  • Häyrinen, K., Kaija, S., Pirkko, N. (2008). Definition, structure, content, use and ımpacts of electronic health records: a review of the research literature. International Journal of Medical Informatics, 77,291–304.
  • Hwang, Y., Dukyong Y., Kyoung E.A., Hee H., Woong R.P. (2007). Provider risk factors for medication administration error alerts: analyses of a large-scale closed-loop medication administration system using rfıd and barcode. Pharmacoepidemiology and Drug Safety, 16,228–228.
  • Jensen, T.B., Margunn A. (2007). How healthcare professionals ‘make sense’ of an electronic patient record adoption. Information Systems Management, 24,29–42.
  • Lin, S.C., Ashish K.J., Adler-Milstein, J. (2018). Electronic health records associated with lower hospital mortality after systems have time to mature. Health Affairs, 37,1128–35.
  • Linder, Jeffrey A., Jun Ma, David W. Bates, Blackford Middleton, and Randall S. Stafford. 2007. Electronic health record use and the quality of ambulatory care in the United States. Archives of Internal Medicine, 167,1400–1405.
  • Lorsbach, M., Gillessen A., Revering, K., Juhra, C. (2020). Information on medical history in the emergency department: Influence on therapy and diagnostic decisions. Medizinische Klinik -Intensivmedizin und Notfallmedizin.
  • Moreland, P.J., Gallagher, S., Bena, J.F., Morrison, S., Albert, N.M. (2012). Nursing satisfaction with implementation of electronic medication administration record. Computers Informatics Nursing, 30,97–103.
  • Ofir, B.A., L, Moshe. (2016). Assessing electronic health record systems in emergency departments: using a decision analytic bayesian model. Health Informatics Journal, 22,712–29.
  • Pevnick, J.M., Andrew, J., Herzik, X.L., Chen, I., Chithriki, M., Lysander J., Silka, P. (2015). Effect of computerized physician order entry on imaging study indication. Journal of the American College of Radiology, 12,70–74.
  • Poon, E.G., Wright, A., Steven R. Simon, Chelsea A. Jenter, Rainu Kaushal, Lynn A. Volk, Paul D. Cleary, Janice A. Singer, Alexis Z. Tumolo, and David W. Bates. (2010). Relationship between use of electronic health record features and health care quality: results of a statewide survey. Medical Care, 48,203–9.
  • Raymond, L., Paré, G., De Guinea, A.O., Poba-Nzaou, P., Trudel, M.C., Arsan, J.M., Micheneau., T. (2015). Improving performance in medical practices through the extended use of electronic medical record systems: a survey of canadian family physicians healthcare ınformation systems. Medical Informatics and Decision Making, 15,1–15.
  • Sadoughi, F., Khodaveisi, T., Ahmadi, H. (2019). The used theories for the adoption of electronic health record: a systematic literature review. Health and Technology, 9,383–400.
  • Sim, I., Gorman, P., Greenes, R. A., Haynes, R. B., Kaplan, B., Lehmann, H., Tang, P. C., (2001). Clinical decision support systems for the practice of evidence-based medicine. Journal of the American Medical Informatics Association, 8,527–34.
  • Uslu, A.M., Stausberg, J. (2008). Value of the electronic patient record: an analysis of the literature. Journal of Biomedical Informatics, 41,675–82.Wolfstadt, J.I., Gurwitz, J.H., Terry S.F., Lee, M., Kalkar,
  • S., Wu, W., Rochon, P.A. (2008). The effect of computerized physician order entry with clinical decision support on the rates of adverse drug events: a systematic review. Journal of General Internal Medicine 23,451–58.
  • Winkle, A.V., Rachelle, M.T., Champagne, M.G.M., Aucoin, J. (2009). Operating room delays meaningful use in electronic health record. Computers Informatics Nursing, 34,247–53.
There are 17 citations in total.

Details

Primary Language English
Subjects Health Policy
Journal Section Review Articles
Authors

İlker Köse 0000-0002-5549-5579

Sinem Cece 0000-0002-5421-4392

Esra Bayraktar 0000-0002-9267-6432

Publication Date July 31, 2022
Published in Issue Year 2022 Volume: 4 Issue: 1

Cite

APA Köse, İ., Cece, S., & Bayraktar, E. (2022). Are Electronic Health Records Beneficial or Not?. Journal of Health Systems and Policies, 4(1), 1-20. https://doi.org/10.52675/jhesp.1082576

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Contents of the Journal of Health Systems and Policies (JHESP) is licensed under a Creative Commons Attribution 4.0 International License.