Analisis Penerapan Sistem Informasi Manajemen Rumah Sakit (SIMRS) terhadap Kinerja Pelayanan Kesehatan di Rumah Sakit X
DOI:
https://doi.org/10.55606/detector.v3i3.5573Keywords:
Health Services, Hospital, Management Information System, Performance, SIMRSAbstract
The evaluation of information systems becomes important to ensure the effectiveness of the Hospital Information System (SIMRS) application and its positive impact in producing information that meets the standards of data quality with the HOT fit theory, which includes the core elements of the information system: human, organization, Technology and net benefits. The research was conducted using a cross-sectional design and involved 78 SIMRS users in X Hospital as the sample. Data were analysed using the partial least squares (PLS) structural equation modelling (SEM) method. The results of the study showed that user satisfaction, information quality, service quality, system quality, organizational environment, system utilization level, and organizational structure had significant relationships with SIMRS based on hypothesis testing. The significant findings included user satisfaction, net benefits, system utilization, service quality, system quality, organizational environment, and information quality. This study emphasizes the importance of routine and periodic maintenance, monitoring of SIMRS by relevant units, attention to factors influencing SIMRS adoption by users, and regular training related to the operation of the SIMRS application. Efforts to improve operational skills in the aspects of system quality, information quality, service quality, organizational structure, and organizational environment of SIMRS are crucial to optimize the net benefits generated by SIMRS.
Downloads
References
Abda’u, P. D., Winarno, W. W., & Henderi, H. (2018). Evaluasi penerapan SIMRS menggunakan metode HOT-Fit di RSUD dr. Soedirman Kebumen. Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi.
Kementerian Kesehatan RI. (2013). Peraturan Menteri Kesehatan Republik Indonesia Nomor 82 Tahun 2013 tentang Sistem Informasi Manajemen Rumah Sakit.
Kosasi, S., & Kuway, S. M. (2012). Analisis kebutuhan dalam sistem. Jurnal Teknologi Informasi, 2(1), 1–10.
Krisbiantoro, D., Suyatno, M., & Taufiqluthfi, E. (2015). Evaluasi keberhasilan implementasi sistem informasi dengan pendekatan HOT-Fit Model (Studi kasus: Perpustakaan STMIK AMIKOM Purwokerto). Jurnal Teknologi Informasi, 9(1–2), 9–10.
Kuo, K. M., Liu, C. F., Talley, P. C., & Pan, S. Y. (2018). Strategic improvement for quality and satisfaction of hospital information systems. Journal of Healthcare Engineering, 2018, 1–10.
Laksono, H. (2015). Evaluasi kesuksesan sistem informasi manajemen daerah–barang milik daerah (SIMDA-BMD) pada Pemerintah Kabupaten Klaten [Tesis, Universitas Gadjah Mada].
Larinse, D. S. (2015). Evaluasi sistem informasi manajemen rumah sakit (SIMRS) menggunakan metode HOT-Fit pada pengguna akhir SIMRS di RSUD Talaud.
Lestari, F. D. (2020). Evaluasi sistem informasi manajemen rumah sakit menggunakan framework Human, Organization, and Technology-Fit (HOT-Fit) model (Studi pada RSI UNISMA Malang). Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 4(10), 4201–4209.
Lestari, M., Kertahadi, S., & Suyadi, M. (2013). Efektivitas sistem informasi Direktorat Jenderal Pajak (Studi pada Kantor Pelayanan Pajak (KPP) Pratama Malang Utara). Jurnal Administrasi Bisnis, 6(2), 13–25.
Lippeveldt, T. (2001). Routine health information system: The glue of unified health system. Journal of Health Systems, 13, 13–27.
Lolo, A., & Nugroho, E. (2018). Evaluasi sistem informasi manajemen rumah sakit dengan menggunakan metode HOT-Fit di Rumah Sakit Umum Daerah (RSUD) Tora Belo Kabupaten Sigi. Journal of Information Systems for Public Health, 3(2).
McGill, T., & Hobbs, V. K. (2013). Users developed application and information system success: A test of DeLone and McLean’s model. Information Resources Management Journal, 16(1), 24–45.
Mohd, M., Kuljis, J., Papazafeiropoulou, A., & Stergioulas, L. K. (2007). An evaluation framework for health information systems: Human, Organization, and Technology-Fit Factors (HOT-fit). International Journal of Medical Informatics, 76(5–6), 386–398.
Monika, R., & Gaol, F. L. (2017). Measuring the success of E-Cargo implementation at one of Indonesian airlines using DeLone and McLean model. IOP Conference Series: Materials Science and Engineering. https://doi.org/10.1088/1757-899X
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Detector: Jurnal Inovasi Riset Ilmu Kesehatan

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.




