Content and Ease of Use Influencing Electronic Medical Record Net Benefits: The Role of Actual Use
DOI:
https://doi.org/10.61132/ijema.v3i1.1160Keywords:
Actual Use, Content, Ease of Use, Electronic Medical Records, Net BenefitsAbstract
The implementation of Electronic Medical Records (EMR) has become an important element in improving healthcare service quality, efficiency, and patient safety in hospitals. However, the benefits of EMR depend not only on system availability but also on the quality of the information provided and how actively the system is used by healthcare professionals. This study aims to analyze the influence of electronic medical record content and perceived ease of use on the net benefits of EMR, with actual system use acting as an intervening variable. The research applied a quantitative approach with a cross-sectional design conducted at RSM Hospital. The population consisted of all general practitioners and specialist doctors working at the hospital, totaling 51 respondents, and the study used a total sampling technique. Data were collected through structured questionnaires measured using a Likert scale and analyzed using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) method. The results show that EMR content and perceived ease of use significantly influence the net benefits of EMR. Both variables also significantly affect the actual use of the system, while actual use significantly influences the benefits obtained. Furthermore, actual use mediates the relationship between EMR content, ease of use, and net benefits, indicating that better information quality and usability can encourage greater system utilization and maximize the advantages of EMR implementation.
Downloads
References
Abdelaziz, T., & Rosa, E. M. (2024). Electronic health records with decision support systems for sharper diagnoses: Bibliometric analysis. International Journal of Advances in Applied Sciences, 13(2), 411–418. https://doi.org/10.11591/ijaas.v13.i2.pp411-418
Amarta, A. F. T., Jaya, B. W., & Aini, N. D. N. (2025). Evaluasi penerapan rekam medis elektronik di unit rawat jalan Rumah Sakit Panti Waluya Malang. Jurnal Ilmu Kesehatan Assyifa, 3(1), 1–9. https://doi.org/10.62085/ajk.v2i3.122
Amin, I., & Coiera, E. (2013). Challenges in accuracy of data from an electronic medical record: Comparison of automated and manual methods of identifying same-day readmissions. Journal of the American Medical Informatics Association, 20(4), 709–715. https://doi.org/10.1136/amiajnl-2012-001419
Ayuni, D. F., et al. (2024). Faktor-faktor yang mempengaruhi penggunaan rekam medis elektronik di rumah sakit swasta Indonesia. Jurnal Informasi Kesehatan Indonesia, 12(2), 67–76.
Batini, C., & Scannapieco, M. (2016). Data and information quality. Springer. https://doi.org/10.1007/978-3-319-24106-7
Bowman, S. (2013). Impact of electronic health record systems on information integrity: Quality and safety implications. Perspectives in Health Information Management, 10(Fall), 1–19.
Cerrato, L., & Roberts, J. (2011). Health information technology functions. In Health information management technology.
Chimbo, B., & Motsi, L. (2024). The effects of electronic health records on medical error reduction: Extension of the DeLone and McLean information system success model. JMIR Medical Informatics, 12, e54572. https://doi.org/10.2196/54572
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
DeLone, W. H., & McLean, E. R. (2016). Information systems success measurement. Foundations and Trends in Information Systems, 2(1), 1–116. https://doi.org/10.1561/2900000005
Donabedian, A. (1988). The quality of care: How can it be assessed? JAMA, 260(12), 1743–1748. https://doi.org/10.1001/jama.1988.03410120089033
Edmond, L., Clarke, J., Ashrafian, H., Darzi, A., & Neves, A. L. (2022). The impact of electronic health record interoperability on safety and quality of care in high-income countries: Systematic review. Journal of Medical Internet Research, 24(5), e38144. https://doi.org/10.2196/38144
Englebardt, S. P., & Nelson, R. (2002). Health care informatics: An interdisciplinary approach. Mosby.
Faida, E. W., Supriyanto, S., Haksama, S., Notobroto, H. B., Wulandari, R. D., Suminar, D. R., & Suryaningtyas, W. (2022). A cross-sectional study on physicians’ perceived usefulness and ease of use of electronic medical records. Journal of Pharmaceutical Negative Results, 13, 6574–6580.
Farenholz, C. G., & Russo, R. (2013). Documentation for health records. AHIMA Press.
Giannangelo, K. (2011). Healthcare data sets and standards. In Health information management technology (3rd ed.).
Holmgren, A. J., Adler-Milstein, J., & McCullough, J. S. (2012). Are all electronic health records created equal? Assessing the relationship between EHR usability and physician satisfaction. Health Services Research, 47(3), 1197–1214. https://doi.org/10.1111/j.1475-6773.2011.01361.x
Li, E., Clarke, J., Ashrafian, H., Darzi, A., & Neves, A. L. (2022). The impact of electronic health records on patient safety and care quality. Journal of the American Medical Informatics Association, 29(5), 1–10.
Nezamdoust, F., Gholami, R., & Bitaraf, S. (2022). Determinants of electronic health record adoption among healthcare professionals. Healthcare Informatics Research, 28(2), 150–160. https://doi.org/10.4258/hir.2022.28.2.150
Sohn, S., Savova, G., & Mayo Clinic NLP Team. (2020). Effects of electronic health record data quality on clinical decision support. Journal of Biomedical Informatics, 103, 103377. https://doi.org/10.1016/j.jbi.2020.103377
Tiorentap, D. (2020). The impact of electronic medical records implementation on hospital service efficiency. International Journal of Health Sciences, 14(3), 45–52.
Weaver, C. A., Ball, M. J., Kim, G. R., & Kiel, J. M. (2010). Healthcare information management systems: Cases, strategies, and solutions. Springer.
Xie, B., Su, Z., Zhang, W., & Cai, R. (2025). Digital health technologies and healthcare service efficiency: Empirical evidence from hospital information systems. Health Informatics Journal, 31(1), 1–15.
Yusof, M. M., Kuljis, J., Papazafeiropoulou, A., & Stergioulas, L. (2008). An evaluation framework for health information systems: Human, organization, and technology-fit factors (HOT-fit). International Journal of Medical Informatics, 77(6), 386–398. https://doi.org/10.1016/j.ijmedinf.2007.08.011
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 International Journal of Economics, Management and Accounting
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
