Readiness and Acceptance of Electronic Medical Records Among Health Professionals in Indonesia

Yusrizal Saputra, Mumtaza Noor Ashila, Prita Muliarini


With the launch of Indonesia Health Services (IHS) as a platform for the digitization and data integration of the country's various healthcare systems, the implementation of electronic medical records (EMR) has become inevitable. Ministry of Health also urged health service facilities to run an electronic patient medical history recording system until December 31, 2023. EMR can assist practitioners in performing routine duties and assignments records-keeping more efficiently and effectively. However, implementation of EMRs is typically accompanied by concerns of additional burden due to data entry, disruptions in productivity, apprehension of shifting from paper records to computerized records, and modifications in organizational culture necessary to use EMRs efficiently. Technology's perceived ease of use and usefulness are considered by people when deciding whether or not to adopt new technology. This study aimed to assess health professional readiness and intention toward EMR implementation in Indonesia based on Technology Acceptance Model (TAM) and Technology Readiness Index (TRI). This cross-sectional study used an online questionnaire to gather data. We used convenient sampling since the population is infinite and unknown. At the end of the study, we managed to get 124 responses from all over Indonesia. Most of the participants were specialists and experienced for more than fifteen years. Data were analyzed using SEM-PLS. Our analysis found that optimism, innovativeness, discomfort, and insecurity simultaneously explained 69.9% of perceived usefulness (PU), while perceived ease of use (PEU) was explained by 63.4% of the variance. Further, the model explained 67.2% of behavioral intention. Optimism and innovativeness significantly influenced PU. Optimism also significantly influenced PEU. Insecurity influenced PEU in a negative role. Therefore, all influential factors in EMR adoption must be considered for improving and developing EMR in Indonesia.

Keywords: electronic medical record (EMR), health professionals, Technology acceptance model (TAM), Technology readiness index (TRI)

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Ayaad, O., Alloubani, A., ALhajaa, E. A., Farhan, M., Abuseif, S., Al Hroub, A., & Akhu-Zaheya, L. (2019). The role of electronic medical records in improving the quality of health care services: Comparative study. International Journal of Medical Informatics, 127(January), 63–67.

Cabinet Secretariat of the Republic of Indonesia. (2022). Health Ministry Launches' SatuSehat' Platform.

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319.

Dönmez, E., Kitapçı, N. Ş., Kitapçı, O. C., Yay, M., Aksu, P. K., Köksal, L., & Mumcu, G. (2020). Readiness for health information technology is associated to information security in healthcare institutions. Acta Informatica Medica, 28(4), 265–271.

Durrani, H., Khoja, S., Naseem, A., Scott, R. E., Gul, A., & Jan, R. (2012). Health needs and eHealth readiness assessment of health care organizations in Kabul and Bamyan, Afghanistan. Eastern Mediterranean Health Journal, 18(6), 663–670.

Gefen, D., Rigdon, E. E., & Straub, D. (2011). An Update and Extension to SEM Guidelines for Administrative and Social Science Research. MIS Quarter, 35(2), 1–7.

Ghazisaeidi, M., Ahmadi, M., Sadoughi, F., & Safdari, R. (2014). A Roadmap to pre-implementation of electronic health record: The key step to success. Acta Informatica Medica, 22(2), 133–138.

Gopidasan, B., Amanullah, S., & Adebowale, A. (2022). Electronic medical records – A review of cost-effectiveness, efficiency, quality of care, and usability. Journal of Psychiatry Spectrum, 1(2), 76.

Hair, Joe F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152.

Hair, Joseph F., Hult, G. T., Ringle, C., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). In Sage.

Hair, Joseph F., Page, M., & Brunsveld, N. (2020). Essentials of Business Research Methods. In Routledge Taylor & Francis Group (4th ed.). Routledge.

Hair, Joseph F, Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.

Henseler, J. (2017). Partial Least Squares Path Modeling. In P. S. H. Leeflang, J. E. Wieringa, & T. H. . Bijmolt (Eds.), Advanced Methods for Modeling Markets (pp. 361–381). Springer International Publishing.

IOM. (2000). To Err Is Human: Building a Safer Health System Linda. In L. T. Kohn, J. M. Corrigan, & M. S. Donaldson (Eds.), Institute of Medicine: Committee on Quality of Health Care in America. National Academy Press.

Jimma, B. L., & Enyew, D. B. (2022). Barriers to the acceptance of electronic medical records from the perspective of physicians and nurses: A scoping review. Informatics in Medicine Unlocked, 31.

Khoja, S., Scott, R. E., Casebeer, A. L., Mohsin, M., Ishaq, A. F. M., & Gilani, S. (2007). e-Health readiness assessment tools for healthcare institutions in developing countries. Telemedicine and E-Health, 13(4), 425–431.

Lin, H.-L., Wu, D.-C., Cheng, S.-M., Chen, C.-J., Wang, M.-C., & Cheng, C.-A. (2020). Association between Electronic Medical Records and Healthcare Quality. Medicine, 99(31), e21182.

Mauco, K. L., Scott, R. E., & Mars, M. (2021). Development of a conceptual framework for e-health readiness assessment in the context of developing countries. Telehealth Innovations in Remote Healthcare Services Delivery: Global Telehealth 2020, 68–77.

Mick, D. G., & Fournier, S. (1998). Paradoxes of technology: Consumer cognizance, emotions, and coping strategies. Journal of Consumer Research, 25(2), 123–143.

Peraturan Menteri Kesehatan Nomor 46 Tahun 2017 Tentang Strategi E-Kesehatan Nasional, (2017).

Ministry of Health. (2022a). Fasyankes Wajib Terapkan Rekam Medis Elektronik. Bureau of Communications and Community Services. medis pasien mulai beralih,riwayat medis pasien secara elektronik

Ministry of Health. (2022b). Kemenkes Luncurkan Platform SATUSEHAT Untuk Integrasikan Data Kesehatan Nasional. Bureau of Communications and Community Services.

Najaftorkaman, M., Ghapanchi, A. H., Talaei-Khoei, A., & Ray, P. (2013). Recent Research Areas and Grand Challenges in Electronic Medical Record: A Literature Survey Approach. The International Technology Management Review, 3(1), 12.

Neves, A. L., Freise, L., Laranjo, L., Carter, A. W., Darzi, A., & Mayer, E. (2020). Impact of providing patients access to electronic health records on quality and safety of care: A systematic review and meta-analysis. BMJ Quality and Safety, 29(12), 1019–1032.

Parasuraman, A. (2000a). Technology Readiness Index (TRI): A Multipleitem Scale To Measure Readiness To Embrace New Technologies. Journal Of Service Research, 2:307(May).

Parasuraman, A. (2000b). Technology Readiness Index (TRI): a multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307–320.

Parasuraman, A., & Colby, C. L. (2001). Techno-ready marketing : how and why your customers adopt the technology. The Free Press.

Parasuraman, A., & Colby, C. L. (2014). An Updated and Streamlined Technology Readiness Index. Journal of Service Research, 18(1), 59–74.

Permenkes 24 Tahun 2022 Tentang Rekam Medis, (2022).

Pujani, V., Hardisman, & Nazir, R. (2019). Electronic health readiness (EHR) in Indonesia: Managerial perspectives. ACM International Conference Proceeding Series, 316–320.

Rhoades, C. A., Whitacre, B. E., & Davis, A. F. (2022). Higher Electronic Health Record Functionality Is Associated with Lower Operating Costs in Urban—but Not Rural—Hospitals. Applied Clinical Informatics, 13(03), 665–676.

Rojas-Méndez, J. I., Parasuraman, A., & Papadopoulos, N. (2017). Demographics, attitudes, and technology readiness: A cross-cultural analysis and model validation. Marketing Intelligence and Planning, 35(1), 18–39.

Saragih, C., Nafa Sari, C., Nurtjahyo Moch, B., & Muslim, E. (2020). Adoption of Electronic Medical Record in Hospitals in Indonesia based on Technology Readiness and Acceptance Model. ACM International Conference Proceeding Series, 79–85.

Schopf, T. R., Nedrebø, B., Hufthammer, K. O., Daphu, I. K., & Lærum, H. (2019). How well is the electronic health record supporting the clinical tasks of hospital physicians? A survey of physicians at three Norwegian hospitals. BMC Health Services Research, 19(1), 934.

Vaishnavi, V., & Suresh, M. (2022). Assessment of healthcare organizational readiness for change: A fuzzy logic approach. Journal of King Saud University - Engineering Sciences, 34(3), 189–197.

Venkatesh, Morris, Davis, & Davis. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425.

Walczuch, R., Lemmink, J., & Streukens, S. (2007). The effect of service employees' technology readiness on technology acceptance. Information and Management, 44(2), 206–215.

World Health Organization. (2012). National eHealth Strategy Toolkit. World Health Organization and International Telecommunication Union.



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