Evaluation of Web-Based Outpatient Registration InformationSystem at Hospital X
DOI:
https://doi.org/10.58222/dbh4c939Keywords:
information system evaluation, outpatient registration, EUCS, HOT-Fit, user satisfaction, hospitalAbstract
The web-based outpatient registration information system is a critical component of hospital service management whose effectiveness directly affects patient waiting times and service quality. This study evaluates the web-based outpatient registration information system at Hospital X using a combination of the End User Computing Satisfaction (EUCS) model and the Human-Organization-Technology Fit (HOT-Fit) model. The research employs a descriptive quantitative method with a cross-sectional design. The research subjects consisted of 87 respondents comprising registration officers, medical staff, and outpatient patients selected using purposive sampling. Data were collected through structured questionnaires distributed online and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The results show that the information quality dimension has the highest satisfaction score (3.82/5.00), while the ease of use dimension received the lowest score (3.41/5.00). HOT-Fit analysis reveals that Technology factors have the greatest positive influence on net benefit with a path coefficient of 0.412 (p<0.001). Overall, the system received a satisfaction level of 74.3% (Good category) according to the EUCS model. The novelty of this research lies in the combined application of the EUCS and HOT-Fit evaluation models to obtain a more comprehensive and multi-dimensional picture of the system's effectiveness, which has rarely been applied simultaneously in the context of hospital registration system evaluation in Indonesia.
References
[1] Kementerian Kesehatan Republik Indonesia. (2022). Peraturan Menteri Kesehatan Nomor 24 Tahun 2022 tentang Rekam Medis. Jakarta: Kemenkes RI.
[2] Direktorat Jenderal Pelayanan Kesehatan. (2022). Survei Nasional Implementasi Sistem Informasi Manajemen Rumah Sakit (SIMRS) 2022. Jakarta: Kementerian Kesehatan RI.
[3] Handayani, P. W., Hidayanto, A. N., Pinem, A. A., Hapsara, M., Putra, P. H., & Ayuningtyas, D. (2020). Acceptance Model of a Hospital Information System. International Journal of Medical Informatics, 99, 11-28. https://doi.org/10.1016/j.ijmedinf.2020.102940
[4] Supriyantoro, Santoso, B., & Utami, T. (2021). Analisis Waktu Tunggu Pelayanan Pendaftaran Pasien Rawat Jalan di Rumah Sakit Kelas B Pemerintah. Jurnal Administrasi Rumah Sakit Indonesia, 8(1), 12-22.
[5] Yusof, M. M., Kuljis, J., Papazafeiropoulou, A., & Stergioulas, L. K. (2020). An Evaluation Framework for Health Information Systems: Human, Organisation and Technology-Fit (HOT-Fit). International Journal of Medical Informatics, 77(6), 386-398. https://doi.org/10.1016/j.ijmedinf.2007.08.011
[6] Rahmawati, A., & Nugroho, E. (2021). Evaluasi Penerimaan Sistem Informasi Manajemen Rumah Sakit Menggunakan Technology Acceptance Model (TAM) di Rumah Sakit Pemerintah Yogyakarta. Jurnal Sistem Informasi Bisnis, 11(1), 47-56. https://doi.org/10.21456/vol11iss1pp47-56
[7] Muslimah, N., Hariyanto, T., & Setiawan, D. (2022). Analisis Kepuasan Pengguna Sistem Informasi Registrasi Online Rumah Sakit Swasta dengan Model End User Computing Satisfaction (EUCS). Jurnal Rekam Medis dan Informasi Kesehatan, 5(2), 89-98. https://doi.org/10.31983/jrmik.v5i2.8214
[8] Wijaya, F. A., & Purnama, B. E. (2023). Evaluasi Sistem Informasi Manajemen Rumah Sakit Daerah dengan Framework HOT-Fit. Jurnal Informatika dan Rekayasa Perangkat Lunak, 4(1), 23-34. https://doi.org/10.33365/jatika.v4i1.2148
[9] Maguire, M. (2020). User-Centred Requirements for Healthcare Systems. Methods of Information in Medicine, 43(4), 347-352. https://doi.org/10.1055/s-0038-1633861
[10] Rahimi, B., Nadri, H., Lotfnezhad Afshar, H., & Timpka, T. (2021). A Systematic Review of the Technology Acceptance Model in Health Informatics. Applied Clinical Informatics, 9(3), 604-634. https://doi.org/10.1055/s-0038-1668091
[11] Doll, W. J., & Torkzadeh, G. (1988). The Measurement of End-User Computing Satisfaction. MIS Quarterly, 12(2), 259-274. https://doi.org/10.2307/248851
[12] Sintawati, M., & Putra, I. K. G. D. (2022). Pengukuran Kepuasan Pengguna Sistem Informasi Rumah Sakit Menggunakan Metode EUCS. Jurnal Teknologi Informasi dan Ilmu Komputer, 9(2), 279-286. https://doi.org/10.25126/jtiik.2022924290
[13] Alotaibi, Y. K., & Federico, F. (2017). The Impact of Health Information Technology on Patient Safety. Saudi Medical Journal, 38(12), 1173-1180. https://doi.org/10.15537/smj.2017.12.20631
[14] Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to Use and How to Report Results of PLS-SEM. European Business Review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203
[15] Nugroho, A., Susanto, T. D., & Wulandari, S. H. E. (2023). Evaluasi Kepuasan Pengguna Sistem Informasi Pendaftaran Pasien Online Berbasis Web di RSUD Kelas B. Jurnal Manajemen Informasi Kesehatan Indonesia, 11(1), 67-78. https://doi.org/10.33560/jmiki.v11i1.478
