Evaluating Outpatient EMR Adoption Using the Technology Acceptance Model: A Case Study at RSAU dr. Siswanto, Indonesia

Authors

  • Dimas Luthfi Pambudi Politeknik Indonusa Surakarta
  • Wahyu Wijaya Widiyanto Politeknik Indonusa Surakarta

DOI:

https://doi.org/10.62951/ijhm.v2i3.456

Keywords:

Electronic Medical Records, Outpatient Services, Technology Acceptance Model, Health Information System, User Acceptance, Perceived Usefulness, Behavioral Intention

Abstract

Electronic Medical Records (EMRs) have become a fundamental component of healthcare digitization, offering improved accuracy, accessibility, and efficiency in patient data management. However, the adoption of EMR systems often encounters varied acceptance levels among healthcare workers, particularly in outpatient services where workflow integration is crucial. This study evaluates the implementation of an outpatient EMR system at RSAU dr. Siswanto, Indonesia, using the Technology Acceptance Model (TAM) framework. The research aims to explore users’ perceived usefulness, ease of use, attitude toward usage, behavioral intention, and actual system usage in daily operations. Employing a qualitative descriptive approach, data were collected through in-depth interviews, observations, and document analysis involving doctors, nurses, and medical record staff. The findings reveal that although the EMR system is generally perceived as beneficial for improving documentation and efficiency, several challenges persist, including incomplete feature utilization, limited training, and inconsistent user adaptation across roles. Additionally, network instability and technical downtime were noted as barriers to system reliability. Overall, the study underscores that perceived ease of use and continuous institutional support significantly influence EMR acceptance. These insights highlight the need for targeted capacity building and iterative system development to ensure effective EMR integration in outpatient settings.

Downloads

Download data is not yet available.

References

Hidayat, D., & Wahyudi, D. (2023). Analisis faktor penerimaan penggunaan sistem informasi rekam medis elektronik dengan Technology Acceptance Model (TAM). Jurnal Health and Medical Information (JHIMI), 2(1), 23–30.

Riyanto, A. S. (2023). Evaluasi penerimaan sistem informasi kesehatan menggunakan model TAM di RSUD. JHIMI, 3(2), 55–63.

Agiwahyuwanto, F., et al. (2024). Aplikasi monitoring dan evaluasi formulir resume medis digital. J-REMI, 5(4), 353–362.

Anriani, E., & Widiyanto, W. W. (2025). Evaluasi kelengkapan pengisian RME rawat jalan. J-MIKI, 10(1), 101–112.

Wahyuningrum, N., & Santoso, H. (2022). Evaluasi sistem informasi rekam medis berbasis web dengan model TAM. J-MIKI, 9(2), 88–95.

Yusof, R., Kuljis, J., Papazafeiropoulou, R., & 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.

Setiadi, D. R. I. M., Rustad, S., Andono, P. N., & Shidik, G. F. (2023). Digital image steganography survey and investigation. Signal Processing, 206, 108908. https://doi.org/10.1016/j.sigpro.2022.108908

Setiadi, D. R. I. M., Sutojo, T., Rachmawanto, E. H., & Sari, C. A. (2017). Fast and efficient image watermarking algorithm using discrete Tchebichef transform. In Proceedings of the 5th International Conference on Cyber and IT Service Management (CITSM) (pp. 1–5). https://doi.org/10.1109/CITSM.2017.8089229

Putri, S., & Suryanto, T. (2021). Evaluasi SIMRS dengan model HOT-Fit. J-REMI, 4(2), 105–112.

Nastiti, A., & Santoso, H. (2022). Analisis HOT-Fit terhadap implementasi SIMRS. Jurnal Informasi Kesehatan, 5(2), 25–30.

Susanti, I., et al. (2024). Manajemen risiko downtime SIMRS. J-REMI, 5(2), 212–220.

Sari, P., & Ramadhani, A. (2023). Analisis kesiapan adopsi EMR menggunakan model UTAUT. Jurnal TI Kesehatan, 4(3), 134–141.

Nuraini, S. (2023). Penerapan RME dan dampaknya terhadap layanan kesehatan. Jurnal Administrasi Rumah Sakit, 8(1), 12–20.

Lestari, T. (2023). Kendala infrastruktur pada adopsi EMR. J-Kesinfo, 6(1), 42–49.

Nugroho, A., & Hartati, R. (2025). Pengaruh literasi digital terhadap penerimaan SIMRS. JHIMI, 4(1), 55–64.

Dewi, M., et al. (2022). Penerapan TAM dalam penggunaan EHR oleh dokter Puskesmas. J-MIKI, 8(2), 98–106.

Wardani, L., & Ramlan, H. (2023). Model integrasi EMR dengan layanan farmasi. Jurnal Sistem Informasi Kesehatan, 5(3), 75–84.

Nugraha, S. (2023). Integrasi EMR dengan SATUSEHAT. Jurnal e-Health Indonesia, 3(1), 44–53.

Ardiansyah, K. (2024). Analisis peran organisasi dalam adopsi SIMRS. Jurnal Manajemen RS, 10(2), 60–67.

Widodo, T. (2025). Kesiapan SDM dan adopsi EMR di Rumah Sakit Daerah. J-MIKI, 10(1), 90–100.

Downloads

Published

2025-06-19

How to Cite

Dimas Luthfi Pambudi, & Wahyu Wijaya Widiyanto. (2025). Evaluating Outpatient EMR Adoption Using the Technology Acceptance Model: A Case Study at RSAU dr. Siswanto, Indonesia. International Journal of Health and Medicine, 2(3), 76–82. https://doi.org/10.62951/ijhm.v2i3.456