Assessing the Impact of Human and Technological Factors on Hospital Management Information System Utilization: A Case Study at Hospital X In Padang City Indonesia
DOI:
https://doi.org/10.6000/1929-6029.2025.14.03Keywords:
Hospital Management Information System (HMIS), HOT-Fit Method, Human Component, Technology Component, Net BenefitAbstract
This study examines the application of the HOT-Fit method, which evaluates the relationship between Human, Technology, and Net Benefit components within the Hospital Management Information System (HMIS) at Hospital X Padang. The Human component is assessed based on system usage and user satisfaction, while the Technology component is analyzed through information quality, service quality, and system quality. This study employs a quantitative crosssectional design, with the research population comprising all active users of the HMIS application at Hospital X Padang, including employees from various departments interacting with the system. The research aims to determine the extent to which the Human and Technology components influence the Net Benefit of the HMIS and to explore these relationships in greater depth. The findings reveal a significant relationship between the Human component and the Net Benefit, as well as between the Technology component and the Net Benefit of the HMIS. Among the factors examined, Technology emerges as the most dominant factor affecting the Net Benefit of the system. These results provide valuable insights for optimizing the implementation and impact of HMIS in healthcare settings.
References
Kementerian kesehatan republik Indonesia. SISTEM Informasi Manajemen Rumah Sakit 2013.
Rahmaddian T, Faaghna L. Evaluasi Implementasi Sistem Informasi Manajemen Rumah Sakit (SIMRS) Rekam Medis dengan Metode Problem Solving Tools di Rumah Sakit X. Jurnal Kesehatan 2023; 12(2): 339-345. DOI: https://doi.org/10.46815/jk.v12i2.176
World Health Organization. Health Information System 2011.
Jha AK, Doolan D, Grandt D, Scott T, Bates DW. The use of health information technology in seven nations. International Journal of Medical Informatics 2008; 77(12): 848-854. DOI: https://doi.org/10.1016/j.ijmedinf.2008.06.007
McCullough JS. The adoption of hospital information systems. Health Economics 2008; 17(5): 649-664. DOI: https://doi.org/10.1002/hec.1283
Kawuwung CEL, Citraningtyas G, Jayanto I. Analisa Pengaruh HOT (Human, Organization, and Technoloy) Fit terhadap Kinerja Sistem Informasi Manajemen Rumah Sakit di Rumah Sakit Bhayangkara TK III Manado. Jurnal Lentera Farma 2023; 2(2).
Winter A, Haux R. A Three-Level Graph-Based Model for the Management of Hospital Information Systems. Methods of Information in Medicine 1995; 34(04): 378-396. DOI: https://doi.org/10.1055/s-0038-1634610
Yusof MM, Kuljis J, Papazafeiropoulou A, Stergioulas LK. An evaluation framework for Health Information Systems: human, organization and technology-fit factors (HOT-fit). International Journal of Medical Informatics 2008; 77(6): 386-398. DOI: https://doi.org/10.1016/j.ijmedinf.2007.08.011
Balaraman, Premkumar KK. E-hospital management & hospital information systems-changing trends. International Journal of Information Engineering and Electronic Business 2013; 5(1): 50. DOI: https://doi.org/10.5815/ijieeb.2013.01.06
Ammenwerth E, Gräber S, Herrmann G, Bürkle T, König J. Evaluation of health information systems—problems and challenges. International Journal of Medical Informatics 2003; 71(2-3): 125-135. DOI: https://doi.org/10.1016/S1386-5056(03)00131-X
Arora L, Ikbal F. Experiences of implementing hospital management information system (HMIS) at a tertiary care hospital, India. Emerald Insight 2021; 20(1). DOI: https://doi.org/10.1108/XJM-09-2020-0111
Engin M, Gürses F. Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model. World Scientific Connect 2019; 16(6). DOI: https://doi.org/10.1142/S0219877019500433
Sadoughi F, Kimiafar K, Ahmadi M, Shakeri MT. Determining of Factors Influencing the Success and Failure of Hospital Information System and Their Evaluation Methods: A Systematic Review. National Library of Medicine 2013.
Okolo CA, Ijeh S, Arowoogun JO, Adeniyi AO, Omotayo O. Reviewing the impact of health information technology on healthcare management efficiency. International Medical Science Research Journal 2024; 4(4). DOI: https://doi.org/10.51594/imsrj.v4i4.1000
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Policy for Journals/Articles with Open Access
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are permitted and encouraged to post links to their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
Policy for Journals / Manuscript with Paid Access
Authors who publish with this journal agree to the following terms:
- Publisher retain copyright .
- Authors are permitted and encouraged to post links to their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work .
