Dampak Implementasi Rekam Medis Elektronik Terhadap Beban Kerja Dan Well-Being Tenaga Kesehatan: Suatu Tinjauan Sistematis

Authors

  • Vivi Maria Satarina Fakultas Kesehatan Masyarakat, Universitas Sriwijaya
  • Anita Rahmiwati Fakultas Kesehatan Masyarakat, Universitas Sriwijaya
  • Alvera Noviyani Fakultas Kesehatan Masyarakat, Universitas Sriwijaya
  • Misnaniarti Misnaniarti Fakultas Kesehatan Masyarakat, Universitas Sriwijaya
  • Rini Muthahar Fakultas Kesehatan Masyarakat, Universitas Sriwijaya
  • Rizma Adlia Syakurah Fakultas Kesehatan Masyarakat, Universitas Sriwijaya

DOI:

https://doi.org/10.31004/koloni.v5i3.1226

Keywords:

Electronic Health Records, EHR Implementation, Workload, Well-Being, Healthcare Workers

Abstract

Electronic Health Records (EHRs) have become an essential component of healthcare digital transformation, but their implementation may also increase healthcare workers’ workload and affect their well-being. This review aimed to systematically analyze the impact of EHR implementation on healthcare workers’ workload and well-being based on recent scientific evidence. A systematic review was conducted following the PRISMA 2020 guidelines. Literature searches were performed in PubMed, Scopus, Google Scholar, and the Cochrane Library to identify studies published between 2020 and 2025 using the PECO framework. The selection process identified 20 studies that met the predefined inclusion criteria and were subsequently synthesized using a narrative approach. The review found that EHR implementation consistently increased documentation burden, prolonged digital working hours, and elevated cognitive workload due to system complexity. Poor EHR usability was also associated with higher levels of work-related stress, burnout, emotional exhaustion, reduced job satisfaction, and impaired work–life balance among healthcare workers. The magnitude of these effects varied according to professional role, healthcare setting, and individual characteristics, including gender. Overall, EHR implementation provides important benefits for improving healthcare quality; however, it may also increase workload and reduce healthcare workers’ well-being when system usability is inadequate and digital tasks extend beyond regular working hours. Therefore, optimizing EHR design, simplifying documentation workflows, and limiting after-hours digital work are essential to support the long-term well-being of the healthcare workforce.

References

Alessa, T. (2024). Clinicians’ attitudes toward electronic health records in Saudi Arabia. Cureus, 16(3), e56281. https://doi.org/10.7759/cureus.56281

Argyriadi, A., Katsarou, D., Patelarou, A., Megari, K., Patelarou, E., Kotrotsiou, S., Giakoumidakis, K., Abdoola, S., Mantsos, E., Efthymiou, E., & Argyriadis, A. (2025). Digital Stress Scale (DSC): Development and psychometric validation of a measure of stress in the digital age. International Journal of Environmental Research and Public Health, 22(7), 1080. https://doi.org/10.3390/ijerph22071080

Berger, M. F., Petritsch, J., Hecker, A., Pustak, S., Michelitsch, B., Banfi, C., Kamolz, L. P., & Lumenta, D. B. (2024). Paper-and-pencil vs. electronic patient records: Analyzing time efficiency, personnel requirements, and usability impacts on healthcare administration. Journal of Clinical Medicine, 13(20), 6214. https://doi.org/10.3390/jcm13206214

Buivydaite, R., Reen, G., Kovalevica, T., Dodd, H., Hicks, I., Vincent, C., & Maughan, D. (2022). Improving usability of electronic health records in a UK mental health setting: A feasibility study. Journal of Medical Systems, 46, 50. https://doi.org/10.1007/s10916-022-01832-0

Cho, H., Nguyen, O. T., Weaver, M., Pruitt, J., Marcelle, C., Salloum, R. G., & Keenan, G. (2024). Electronic health record system use and documentation burden of acute and critical care nurse clinicians: A mixed-methods study. Journal of the American Medical Informatics Association, 31(11), 2540–2549. https://doi.org/10.1093/jamia/ocae239

De Groot, K., De Veer, A. J. E., Munster, A. M., Francke, A. L., & Paans, W. (2022). Nursing documentation and its relationship with perceived nursing workload: A mixed-methods study among community nurses. BMC Nursing, 21, 34. https://doi.org/10.1186/s12912-022-00811-7

Frintner, M. P., Kaelber, D. C., Kirkendall, E. S., Lourie, E. M., Somberg, C. A., & Lehmann, C. U. (2021). The effect of electronic health record burden on pediatricians’ work-life balance and career satisfaction. Applied Clinical Informatics, 12(3), 697–707. https://doi.org/10.1055/s-0041-1732402

Garcia, G., & Crenner, C. (2022). Comparing international experiences with electronic health records among emergency medicine physicians in the United States and Norway: Semistructured interview study. JMIR Human Factors, 9(1), e28762. https://doi.org/10.2196/28762

Gesner, E., Dykes, P. C., Zhang, L., & Gazarian, P. (2022). Documentation burden in nursing and its role in clinician burnout syndrome. Applied Clinical Informatics, 13(5), 983–990. https://doi.org/10.1055/s-0042-1757157

Holmgren, A. J., Thombley, R., Sinsky, C. A., & Adler-Milstein, J. (2023). Changes in physician electronic health record use with the expansion of telemedicine. JAMA Internal Medicine, 183(12), 1357–1365.https://doi.org/10.1001/jamainternmed.2023.5738

Holzer, K., et al. (2021). Impact of changes in EHR use during COVID-19. Applied Clinical Informatics, 12(3), 510–516. https://doi.org/10.1055/s-0041-1730925

Jacques, D., et al. (2025). Evaluating nurses’ perceptions of documentation in the electronic health record. JMIR Nursing, 8, e69651. https://doi.org/10.2196/69651

Jedwab, R., et al. (2021). Nurses’ well-being after EMR implementation. International Journal of Medical Informatics, 163, 104783.https://doi.org/10.1016/j.ijmedinf.2022.104783

Kaihlanen, A.-M., et al. (2020). The associations of electronic health record usability and user age with stress and cognitive failures among Finnish registered nurses. JMIR Medical Informatics, 8(11), e23623. https://doi.org/10.2196/23623

Khairat, S., Coleman, C., Ottmar, P., Bice, T., & Carson, S. S. (2022). Evaluation of physicians’ electronic health records experience using actual and perceived measures. Perspectives in Health Information Management, 19(1), 1k. PMCID: PMC9013225

Kutney-Lee, A., Brooks Carthon, J. M., Sloane, D. M., Bowles, K. H., McHugh, M. D., & Aiken, L. H. (2021). Electronic health record usability: Associations with nurse and patient outcomes in hospitals. Medical Care, 59(7), 625–631. https://doi.org/10.1097/MLR.0000000000001536

Lawrence, K., Nov, O., Mann, D., Mandal, S., Iturrate, E., & Wiesenfeld, B. (2022). The impact of telemedicine on physicians’ after-hours electronic health record “work outside work” during the COVID-19 pandemic. JMIR Medical Informatics, 10(7), e34826. https://doi.org/10.2196/34826

Lou, S. S., Baratta, L. R., Lew, D., Harford, D. R., Avidan, M. S., & Kannampallil, T. (2023). Anesthesia clinical workload estimated from electronic health record documentation versus billed relative value units. JAMA Network Open, 6(8), e2328514. https://doi.org/10.1001/jamanetworkopen.2023.28514

Lou, S. S., Lew, D., Harford, D. R., Lu, C., Evanoff, B. A., Duncan, J. G., & Kannampallil, T. (2022). Temporal associations between EHR-derived workload, burnout, and errors: A prospective cohort study. Journal of General Internal Medicine, 37(9), 2165–2172. https://doi.org/10.1007/s11606-022-07620-3

Melnick, E. R., et al. (2020). The association between perceived electronic health record usability and professional burnout among U.S. physicians. Mayo Clinic Proceedings, 95(3), 476–487. https://doi.org/10.1016/j.mayocp.2019.09.024

National Academies of Sciences, Engineering, and Medicine. (2019). Taking action against clinician burnout: A systems approach to professional well-being. The National Academies Press. https://doi.org/10.17226/25521

Peccoralo, L. A., Kaplan, C. A., Pietrzak, R. H., Charney, D. S., & Ripp, J. A. (2021). The impact of time spent on the electronic health record after work and of clerical work on burnout among clinical faculty. Journal of the American Medical Informatics Association, 28(5), 938–947. https://doi.org/10.1093/jamia/ocaa349

Provenzano, M., Cillara, N., Curcio, F., Pisu, M. O., González, C. I. A., & Jiménez-Herrera, M. F. (2024). Electronic health record adoption and its effects on healthcare staff: A qualitative study of well-being and workplace stress. International Journal of Environmental Research and Public Health, 21(11), 1430. https://doi.org/10.3390/ijerph21111430

Ripp, J. A., Pietrzak, R. H., de Guillebon, E., & Peccoralo, L. A. (2025). Association of clerical burden and EHR frustration with burnout and career intentions among physician faculty. International Journal of Medical Informatics, 195, 105740. https://doi.org/10.1016/j.ijmedinf.2024.105740

Rittenberg, R., et al. (2021). Primary care physician gender and EHR workload. Journal of General Internal Medicine, 36, 3296–3304. https://doi.org/10.1007/s11606-021-06777-y

Tajirian, T., et al. (2025). Assessing the impact on electronic health record burden after five years of physician engagement in a Canadian mental health organization: Mixed-methods study. JMIR Human Factors, 12, e65656. https://doi.org/10.2196/65656

Tang, K., et al. (2024). Electronic health record usage patterns across surgical subspecialties. Applied Clinical Informatics, 15, 34–44. https://doi.org/10.1055/a-2194-1061

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Published

30-09-2026

How to Cite

Satarina, V. M., Rahmiwati, A., Noviyani, A., Misnaniarti, M., Muthahar, R., & Syakurah, R. A. (2026). Dampak Implementasi Rekam Medis Elektronik Terhadap Beban Kerja Dan Well-Being Tenaga Kesehatan: Suatu Tinjauan Sistematis. KOLONI, 5(3), 3767–3778. https://doi.org/10.31004/koloni.v5i3.1226

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