Pengaruh Faktor Hot-Fit terhadap Implementasi Rekam Medis Elektronik di Instalasi Gawat Darurat RSUD Sanjiwani Gianyar
DOI:
https://doi.org/10.30640/jumma45.v5i2.7953Keywords:
Human, Organization, Technology, HOT-Fit, Electronic Medical RecordsAbstract
The implementation of Electronic Medical Records (EMR) is an integral part of digital transformation in healthcare, aimed at improving the effectiveness, efficiency, and quality of healthcare services. The success of EMR implementation is influenced by Human, Organization, and Technology factors, as described in the Human-Organization-Technology Fit (HOT-Fit) model. This study aimed to analyze the effects of Human, Organization, and Technology factors on EMR implementation in the Emergency Department of RSUD Sanjiwani Gianyar. A quantitative approach was employed with an explanatory research design and a cross-sectional approach, involving all 65 healthcare professionals who used the EMR system as a total sample. Data were collected through a five-point Likert-scale questionnaire and analyzed using multiple linear regression with SPSS. The results showed that the Human factor had a significant effect on EMR implementation, with a regression coefficient of -0.020 and a significance value of 0.010, indicating a negative direction. The Organization factor had a positive and significant effect, with a regression coefficient of 0.790 and a significance value of 0.000, making it the most dominant factor (Beta = 0.764). The Technology factor also had a positive and significant effect, with a regression coefficient of 0.215 and a significance value of 0.012. Simultaneously, Human, Organization, and Technology significantly affected EMR implementation, with an F-value of 144.022 and a significance value of 0.000. The coefficient of determination (R²) of 0.876 indicated that 87.6% of the variation in EMR implementation was explained by the three factors, while 12.4% was attributable to other factors. In conclusion, Human, Organization, and Technology significantly influence EMR implementation, both partially and simultaneously. Improving EMR implementation requires strengthening organizational support as the top priority, along with user competencies and continuous technological enhancement.
References
Adriani, N. K., Suastika, I. G., & Pradnyani, N. L. (2025). Evaluation of the implementation of electronic medical records using the HOT-Fit method in the inpatient unit of Bhayangkara Hospital Denpasar. Jurnal Manajemen Informasi Kesehatan, 13(1), 12–22.
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.
Ghozali, I. (2021). Aplikasi analisis multivariate dengan program IBM SPSS 26. Badan Penerbit Universitas Diponegoro.
Hatta, G. R. (2023). Pedoman manajemen informasi kesehatan di sarana pelayanan kesehatan. Universitas Indonesia Press.
Health Science and Pharmacy Journal (HSPJ). (2023). Evaluasi implementasi rekam medis elektronik di Indonesia. Health Science and Pharmacy Journal, 7(2), 120–128.
Hidayat, R., & Kurniawan, A. (2023). Pengaruh kepuasan pengguna terhadap keberlanjutan penggunaan rekam medis elektronik di unit gawat darurat rumah sakit pemerintah. Jurnal Manajemen Informasi Kesehatan Indonesia, 11(2), 85–94.
Jurnal Kesehatan Terpadu. (2024). Analisis hambatan implementasi rekam medis elektronik di rumah sakit Indonesia. Jurnal Kesehatan Terpadu, 8(1), 55–63.
Kementerian Kesehatan Republik Indonesia. (2022). Peraturan Menteri Kesehatan Republik Indonesia Nomor 24 Tahun 2022 tentang rekam medis. Kementerian Kesehatan RI.
Kementerian Kesehatan Republik Indonesia. (2023). Profil kesehatan Indonesia tahun 2023. Kementerian Kesehatan RI.
Kementerian Kesehatan Republik Indonesia. (2024). Laporan implementasi transformasi digital kesehatan. Kementerian Kesehatan RI.
Lestari, D., Putra, A. R., & Handayani, P. W. (2022). Evaluasi keberhasilan sistem rekam medis elektronik menggunakan Model Hot-Fit pada rumah sakit pemerintah. Jurnal Sistem Informasi Kesehatan, 10(1), 45–56.
Prameswari, D., Wardani, K., & Ellina, A. D. (2025). Evaluation of the implementation of electronic medical records (EMR) using the HOT-Fit method. Jurnal Sistem Informasi Kesehatan Digital, 4(1), 33–44.
Pratama, Y., Suryani, N., & Wijaya, A. (2024). Analisis faktor organisasi dan teknologi terhadap efektivitas penerapan rekam medis elektronik. Jurnal Administrasi Rumah Sakit Indonesia, 8(1), 21–30.
Putri, A. D., Rahmawati, S., & Nugraha, F. (2024). Peran kepuasan pengguna sebagai variabel mediasi dalam keberhasilan sistem informasi kesehatan. Jurnal Penelitian Sistem Informasi, 12(2), 101–112.
Rahman, F., Maulana, I., & Sari, P. (2023). Tantangan implementasi rekam medis elektronik di instalasi gawat darurat rumah sakit daerah. Jurnal Kesehatan Masyarakat Nasional, 18(3), 167–175.
RSUD Sanjiwani Gianyar. (2024). Laporan internal implementasi rekam medis elektronik instalasi gawat darurat. RSUD Sanjiwani Gianyar.
Ryskyanty, N., Munawar, A., & Tahjoo, D. (2025). Analysis of the implementation of electronic medical records using the HOT-Fit method with data integration as an intervening variable. Jurnal Sistem Informasi Kesehatan, 13(2), 88–99.
Sari, M., & Nugroho, E. (2023). Kepuasan pengguna sebagai determinan keberhasilan sistem informasi rumah sakit. Jurnal Teknologi Informasi Kesehatan, 9(2), 73–82.
Setiawan, D., & Putri, R. A. (2024). Peran rekam medis elektronik dalam pengambilan keputusan klinis di instalasi gawat darurat. Jurnal Keperawatan Klinis Indonesia, 7(1), 55–63.
Sugiyono. (2022). Metode penelitian kuantitatif, kualitatif, dan R&D. Alfabeta.
Widodo, T., Laksana, B., & Prameswari, D. (2023). Karakteristik beban kerja dan kebutuhan informasi klinis di instalasi gawat darurat. Jurnal Mutu Pelayanan Kesehatan, 6(2), 90–99.
World Health Organization. (2022). Electronic health records: Manual for developing countries. World Health Organization.
World Health Organization. (2023). Global strategy on digital health 2020–2025: Progress report 2023. World Health Organization.
Yusof, M. M., Kuljis, J., Papazafeiropoulou, A., & Stergioulas, L. (2023). An evaluation framework for health information systems: Human, Organization and Technology-fit factors (HOT-Fit). International Journal of Medical Informatics, 172, 105004.
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