Impact of Health System Usage, Patient Satisfaction, Information Quality, and Service Quality on Hospital Management Information System Utilization at Madani Regional General Hospital
Muhammad Rifial1, Amran Razak2, Darmawansyah Darmawansyah2, Indar Indar2, Arsyad Rahman3
Journal of Angiotherapy 8(11) 1-8 https://doi.org/10.25163/angiotherapy.81110061
Submitted: 31 August 2024 Revised: 17 November 2024 Published: 18 November 2024
Abstract
Background: Recruitment in healthcare, particularly in hospitals, often faces challenges in aligning employee competencies with job requirements, leading to operational inefficiencies. The increasing complexity and volume of patient data necessitate efficient information systems for optimal healthcare delivery. Hospital Management Information Systems (HMIS), which integrate workflows and enhance operational efficiency, are crucial for addressing these challenges. However, their effective implementation and utilization depend on various factors, including system usage, user satisfaction, information quality, and service quality. Methods: This study employed a quantitative, cross-sectional design to assess the relationships between human and technology-related factors and the net benefits of the HMIS at Madani Regional General Hospital in Palu, Indonesia. A sample of 172 respondents, determined using the Slovin formula, completed structured questionnaires evaluating system usage, user satisfaction, information quality, service quality, and perceived net benefits. Data were analyzed using univariate, bivariate, and multivariate statistical methods, including Pearson correlation and binary logistic regression. Results: The findings revealed significant positive relationships between system usage, user satisfaction, information quality, and service quality with net benefits (p < 0.05). Specifically, improved system usage, higher user satisfaction, better information quality, and superior service quality were strongly correlated with positive outcomes in HMIS utilization. Binary logistic regression identified system usage as the most influential predictor of net benefits (p = 0.006, Exp(B) = 3.242). The model explained 21.2% of the variance in net benefits and demonstrated an accuracy of 79.7%. Conclusion: The study underscores the critical role of human and technology factors in the effective utilization of HMIS. Enhancing system usage, user satisfaction, information quality, and service quality can significantly improve the benefits derived from HMIS in hospital settings. Targeted interventions, such as user training, system upgrades, and enhanced technical support, are essential for maximizing the potential of HMIS and improving healthcare delivery.
Keywords: Hospital Management Information System (HMIS), System Usage, User Satisfaction, Information Quality, Service Quality
References
Achmadi, A., & Siregar, A. O. (2021). The Effect of System Quality, Information Quality and Service Quality on User Satisfaction of E-Learning System. The International Journal of Business Review (The Jobs Review), 4(2), 103–120. https://doi.org/10.17509/tjr.v4i2.40483
Ada, S., & Ghaffarzadeh, M. (2015). Decision Making Based On Management Information System and Decision Support System. European Researcher, 93(4), 260–269. https://doi.org/10.13187/er.2015.93.260
Aggelidis, V. P., & Chatzoglou, P. D. (2012). Hospital information systems: Measuring end user computing satisfaction (EUCS). Journal of Biomedical Informatics, 45(3), 566–579. https://doi.org/10.1016/j.jbi.2012.02.009
Farras, A., & Hustinawati, H. (2022). Analyzing Hospital’s Management Information System Based on Patient’s and Employee’s Perception Using EUCS Method. Indonesian Journal of Multidisciplinary Science, 2(1), 1861–1867. https://doi.org/10.55324/ijoms.v2i1.269
Ferdianti, D. L., Lestari Ramadhani Nasution, S., Girsang, E., & Suryono, T. (2022). Implementation Of Hospital Management Information System (SIMRS) At Royal Prima Hospital. International Journal of Health and Pharmaceutical (IJHP), 2(3), 540–545. https://doi.org/10.51601/ijhp.v2i3.79
Hadi, M., Rahmawati, D., Heny Purwati, N., Natashia, D., Slametiningsih, S., & Hasanah, I. (2024). The Quality of Competence Through Nursing Career Paths Among Indonesian Nurses in Hospital Settings. Journal of Public Health and Pharmacy, 4(2 SE-Articles), 160–171. https://doi.org/10.56338/jphp.v4i2.5459
Handayani, P. W., Hidayanto, A. N., Pinem, A. A., Sandhyaduhita, P. I., & Budi, I. (2018). Hospital information system user acceptance factors: User group perspectives. Informatics for Health & Social Care, 43(1), 84–107. https://doi.org/10.1080/17538157.2016.1269109
Hardiyanti, C., Kusumadewi, S., & Kurniawan, R. (2024). Evaluation of Success and Failure Factors for Maternal and Child Health in Integrated Healthcare Center Information Systems (IHCIS) Using the HOT-Fit Method. Journal of Information Systems Engineering and Business Intelligence, 10(1), 152–166. https://doi.org/10.20473/jisebi.10.1.152-166
Ithnin, F. Z., Hassan, A., & Ismail, N. (2023). Relationship between Organizational and Information System Users’ Satisfaction Variables: A Literature Review. International Journal of Academic Research in Progressive Education and Development, 12(4), 907–922. https://doi.org/10.6007/ijarped/v12-i4/20090
Ladhari, R. (2010). Developing e-service quality scales: A literature review. Journal of Retailing and Consumer Services, 17, 464–477. https://doi.org/10.1016/j.jretconser.2010.06.003
Li, F., Lu, H., Hou, M., Cui, K., & Darbandi, M. (2021). Customer satisfaction with bank services: The role of cloud services, security, e-learning and service quality. Technology in Society, 64(December 2020), 101487. https://doi.org/10.1016/j.techsoc.2020.101487
Lumingkewas, P. H., Umboh, A., & Manampiring, A. E. (2023). Analysis of Hospital Management Information System Implementation In Manembo-Nembo General Hospital, Bitung City. Gema Wiralodra, 14(2), 832–839. https://doi.org/10.31943/gw.v14i2.536
Martínez, J. A., & Martínez, L. (2010). Some insights on conceptualizing and measuring service quality. Journal of Retailing and Consumer Services, 17(1), 29–42. https://doi.org/https://doi.org/10.1016/j.jretconser.2009.09.002
Melgis, S. A., Aryani, R., Lestari, D., & Abdulnazar, M. N. A. (2024). Analyzing the Quality of Academic Information Systems on System Success. INTENSIF: Jurnal Ilmiah Penelitian Dan Penerapan Teknologi Sistem Informasi, 8(1), 140–161. https://doi.org/10.29407/intensif.v8i1.21512
Musawir, S., Kadir, S., & Tuloli, T. S. (2024). International Journal of Medical Science and Clinical Research Studies Evaluation of The Implementation of The Laboratory Information System Using the Hot Fit Method in Maxima Clinical Laboratory. 04(06), 1034–1042. https://doi.org/10.47191/ijmscrs/v4
Na, H. J., Lee, K. C., Choi, S. U., & Kim, S. T. (2020). Exploring CEO messages in sustainability management reports: Applying sentiment mining and sustainability balanced scorecard methods. Sustainability (Switzerland), 12(2). https://doi.org/10.3390/su12020590
Nur Afni, & Sri Rahayu. (2022). Analysis of Risk Factors for Death of Covid-19 Patients at Undata Hospital Palu. Journal of Public Health and Pharmacy, 2(2 SE-Articles), 24–29. https://doi.org/10.56338/jphp.v2i2.3875
Obaid, K., Pukthuanthong, K., & Maslar, D. A. (2019). U.S. Coins Market: Historical Performance and Anomalies. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3492347
Organization, W. H. (2020). Health policy and system support to optimize community health worker programmes for HIV, TB and malaria services: an evidence guide. World Health Organization. https://iris.who.int/handle/10665/340078
Palu, R. M. (2022). Profil RSUD Madani Palu.
Ramya, N. (2019). Service Quality and Its Dimensions. EPRA International Journal of Research and Development (IJRD), 4(February).
Rao, T. R., Mitra, P., Bhatt, R., & Goswami, A. (2019). The big data system, components, tools, and technologies: a survey. Knowledge and Information Systems, 1–81. https://doi.org/10.1007/s10115-018-1248-0
Salam, M., & Farooq, M. S. (2020). Does sociability quality of web-based collaborative learning information system influence students’ satisfaction and system usage? International Journal of Educational Technology in Higher Education, 17(1). https://doi.org/10.1186/s41239-020-00189-z
Sarowar, H., & Zihang, P. (2023). Auditors ’ Portfolio Risks , Audit Fees , and Audit Quality?: A Study of SECs Mandatory Risk Factor Disclosures. ISAR, 0–39. https://doi.org/https://doi.org/10.26190/unsworks/28728 License:
Sebetci, Ö. (2018). Enhancing end-user satisfaction through technology compatibility: An assessment on health information system. Health Policy and Technology, 7(3), 265–274. https://doi.org/https://doi.org/10.1016/j.hlpt.2018.06.001
Setiorini, A., Natasia, S. R., Wiranti, Y. T., & Ramadhan, D. A. (2021). Evaluation of the Application of Hospital Management Information System (SIMRS) in RSUD Dr. Kanujoso Djatiwibowo Using the HOT-Fit Method. Journal of Physics: Conference Series, 1726(1), 0–11. https://doi.org/10.1088/1742-6596/1726/1/012011
Sudirman, S., Herlina Yusuf, Nurhidayati, N., & Maya Ariandini. (2024). Dental Service Quality and Patient Satisfaction: Insights From Anutapura General Hospital, Palu City. Journal of Public Health and Pharmacy, 4(1 SE-Articles), 56–63. https://doi.org/10.56338/jphp.v4i1.5076
Suparno, Arifin, M. A., Palutturi, S., Darmawansyah, Thamrin, Y., & Leida, I. (2024). Analysis of the Implementation of the Use of Hospital Management Information Systems (Simrs) in Hospitals Kindergarten IV Dr Sumantri Parepare. Pharmacognosy Journal , 16(4), 888–894. https://doi.org/10.5530/pj.2024.16.144
Suryana, A., Adikara, F., Arrozi, M. F., & Taufik, A. R. (2022). Model of Improving The Utilization of Hospital Management Information System (SIMRS) Based On Human, Organization Technology-Fit (Hot-Fit) Method at RSPI Prof. Dr. Sulianti Saroso. Journal of Public Health Education, 1(2), 103–116.
Taidi, R., Koton, Y. P., & Kadir, L. (2023). Evaluation of the Implementation of Pharmaceutical Service Standards at the Toto Kabila Regional General Hospital, Bone Bolango Regency. International Journal of Health …, 5(4), 546–554. https://doi.org/10.56338/ijhess.v5i4.4503
Townley, B. (2019). Foucault, Power/Knowledge, and its Relevance for Human Resource Management (pp. 215–242). https://doi.org/10.4324/9780429431678-11
Vantissha, D., Azizah, A. H., & Arifin, S. (2022). Assessing Hospital Management Information Systems Success Using Human Organization and Technology Fit Model. Applied Information System and Management (AISM), 5(1), 37–44. https://doi.org/10.15408/aism.v5i1.24738
windarti, M. M. sriyani. (2023). The Effect of Human Organization Technology on Net benefit HMIS at Pelamonia Hospital Makassar. Miracle Journal of Public Health, Vol 6 No 2 (2023): Miracle Journal of Public Health, 87–101. https://journal.fikes-umw.ac.id/index.php/mjph/article/view/325/197
Yagci, I. A., & Das, S. (2018). Measuring design-level information quality in online reviews. Electronic Commerce Research and Applications, 30, 102–110. https://doi.org/https://doi.org/10.1016/j.elerap.2018.05.010
Zhang, P., Li, T., Yuan, Z., Deng, Z., Wang, G., Wang, D., & Zhang, F. (2023). A Possibilistic Information Fusion-Based Unsupervised Feature Selection Method Using Information Quality Measures. IEEE Transactions on Fuzzy Systems, 31(9), 2975–2988. https://doi.org/10.1109/TFUZZ.2023.3238803
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