Factors Influencing the Acceptance of Electronic Medical Records by Nurses: A Utaut Approach
DOI:
https://doi.org/10.54518/ebh.4.3.2025.1101Keywords:
Electronic Medical Records, Hospital Information System, Nurses, UTAUT, Technology AcceptanceAbstract
The adoption of Electronic Medical Records (EMR) has become an essential strategy for hospitals to enhance operational efficiency and improve the accuracy of medical documentation. Nevertheless, the effectiveness of EMR implementation is influenced not only by technological infrastructure but also by the level of acceptance among users, particularly nurses who interact with the system on a daily basis. This study investigates nurses’ acceptance of EMR at Purbowangi General Hospital, Kebumen, by applying the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. A quantitative survey design was employed, with data collected through questionnaires administered to all nurses actively using the EMR system. The study examined performance expectancy, effort expectancy, social influence, and facilitating conditions as independent variables, while behavioral intention and use behavior were treated as outcome variables. The data were analyzed using validity and reliability testing, followed by multiple linear regression analysis. The findings reveal that performance expectancy, effort expectancy, and social influence significantly and positively influence nurses’ intention to use EMR. In addition, behavioral intention was found to have a significant effect on actual EMR usage behavior. These results support the relevance of the UTAUT model in explaining technology acceptance in hospital environments and emphasize the need for effective training, user-friendly system design, and strong organizational support to promote sustainable EMR implementation.
References
Afzal, F., Ahmad, A. A., Ali, Q. A., Joshi, S., & Mehra, S. (2021). Fulfilling the need of hour: Systematic review of challenges associated with electronic medical record (EMR) implementation-SBEA model. Vidyabharati International Interdisciplinary Research Journal, 13(8), 649-662.
Ahmed, M. H., Bogale, A. D., Tilahun, B., & Kalayou, M. H. (2020). Intention to use electronic medical record and its predictors among health care providers: Application of the Unified Theory of Acceptance and Use of Technology (UTAUT). BMC Medical Informatics and Decision Making, 20(1), 1–9.
Alharbi, R. A. (2023). Adoption of electronic health records in Saudi Arabia hospitals: Knowledge and practices. Journal of King Saud University – Computer and Information Sciences, 35(2), 101– 110.
Alsughayir, A., & Shah, H. (2018). Factors affecting the adoption of electronic health records in healthcare organizations. Journal of Health Informatics, 12(3), 45–58.
Al-Suqri, M. N., & Al-Kharusi, R. M. (2015). Ajzen and Fishbein's theory of reasoned action (TRA)(1980). In Information seeking behavior and technology adoption: Theories and trends (pp. 188-204). IGI Global Scientific Publishing.
Anggraeni, R., Bagye, W., & Akbar, J. (2025). Analysis of hospital information system (SIMRS) acceptance using the Technology Acceptance Model (TAM). Jambura Journal of Electrical and Electronics Engineering, 7(2), 149–156.
Arman, A. A., & Hartati, S. (2015). Development of user acceptance model for electronic medical record system. In 2015 International Conference on Information Technology Systems and Innovation (ICITSI) (pp. 1-6). IEEE.
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, 63-67.
Graf-Vlachy, L., Buhtz, K., & König, A. (2018). Social influence in technology adoption: taking stock and moving forward. Management Review Quarterly, 68(1), 37-76.
https://doi.org/10.1186/s12911- 020-01159-3
Ifinedo, P. (2017). Examining students’ intention to continue using blogs for learning: Perspectives from the Unified Theory of Acceptance and Use of Technology. Computers in Human Behavior, 75, 246–258. https://doi.org/10.1016/j.chb.20 17.05.002
Kore, T. (2024). Factors influencing successful adoption of health information systems in emerging contexts. International Journal of Health Information Systems, 9(1), 33–45.
Lee, S. (2022). Effect of electronic medical record quality on nurses' perceived usefulness and ease of use. CIN: Computers, Informatics, Nursing, 40(8), 562-570.
Lorenz, G. V., & Buhtz, K. (2017). Social influence in technology adoption research: a literature review and research agenda.
Massaro, M. (2023). Digital transformation in the healthcare sector through blockchain technology. Insights from academic research and business developments. Technovation, 120, 102386.
Nasir, K., & Javed, Z. (2023). From manual to modern: accelerating health care transformation with automatized electronic medical record registries. Circulation: Cardiovascular Quality and Outcomes, 16(10), e010379.
Pangkong, A. N., Noviana, A., & Lestari, S. (2025). Evaluasi implementasi rekam medis elektronik dalam menurunkan klaim BPJS Kesehatan. Jurnal Teknologi Informasi, 14(1), 55–66.
Peraturan Menteri Kesehatan Republik Indonesia Nomor 24 Tahun 2022 tentang Rekam Medis. (2022). Kementerian Kesehatan Republik Indonesia.
Peraturan Menteri Kesehatan Republik Indonesia Nomor 82 Tahun 2013 tentang Sistem Informasi Manajemen Rumah Sakit. (2013). Kementerian Kesehatan Republik Indonesia.
Raghunathan, K., McKenna, L., & Peddle, M. (2021). Use of academic electronic medical records in nurse education: a scoping review. Nurse Education Today, 101, 104889.
Rofiah, C., & Suhermin, S. (2022). Importance of performance expectancy, effort expectancy, social influence on behavioral intention and actual usage e-healthcare application in Indonesia. International Journal of Research and Analytical Reviews (IJR).
Scott, K., Ummer, O., Chamberlain, S., Sharma, M., Gharai, D., Mishra, B., ... & LeFevre, A. E. (2022). At the frontlines of digitisation: a qualitative study on the challenges and opportunities in maintaining accurate, complete and timely digital health records in India’s government health system. BMJ open, 12(2), e051193.
Shiferaw, K. B., & Mehari, E. A. (2019). Modeling predictors of acceptance and use of electronic medical record system in a resource limited setting: Using modified UTAUT model. Informatics in Medicine Unlocked, 17, 100182.
Uslu, A., & Stausberg, J. (2021). Value of the electronic medical record for hospital care: update from the literature. Journal of medical Internet research, 23(12), e26323.
Utomo, P., Kurniasari, F., & Purnamaningsih, P. (2021). The effects of performance expectancy, effort expectancy, facilitating condition, and habit on behavior intention in using mobile healthcare application. International Journal of Community Service & Engagement, 2(4), 183-197.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17(5), 328–376.
Wafidah, A., Marwanto, I. G. G. H., Pramono, T., & Muzaqi, A. H. (2023). Implementation of Permenkes Number 82 of 2013 Concerning Hospital Management Information Systems (SIM RS)(Study at Kertosono Regional Hospital, Nganjuk Regency): Implementasi Permenkes Nomor 82 Tahun 2013 Tentang Sistem Informasi Manajemen Rumah Sakit (SIM RS)(Studi Pada Rumah Sakit Daerah Kertosono Kabupaten Nganjuk). JKMP (Jurnal Kebijakan dan Manajemen Publik), 11(1), 29-37.
Wongkar, E. R. G., Lumingkewas, F. H., & Rattu, A. J. M. (2025). Analisis persepsi tenaga kesehatan terhadap implementasi rekam medis elektronik di rumah sakit. Jurnal Kesehatan Ilmiah Indonesia, 10(1), 22–31.
Simon A. (2008). Essays on Analysts’ Long-term Earnings Growth Forecasts. PhD Thesis, School of Business, The University of Queensland, Australia.
Tirdasari, N. L., & Dhewanto, W. (2012). Family business succession in Indonesia: A study of hospitality industry. Procedia-Social and Behavioral Sciences, 57, 69-74.
Ward, K. (2012). Strategic management accounting. London and New York: Routledge.
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