Factors Associated with the Effectiveness of Hospital Management Information System Implementation

Authors

  • Meiriani Meiriani Universitas Mitra Indonesia
  • Aila Karyus Universitas Mitra Indonesia
  • Dewi Rahayu Universitas Mitra Indonesia
  • Endang Budiati Universitas Mitra Indonesia
  • Dian Utama Pratiwi Putri Universitas Mitra Indonesia

DOI:

https://doi.org/10.37287/picnhs.v7i1.113

Keywords:

hospital management information system, hospital performance, information system effectiveness, system quality, user competence

Abstract

The Hospital Management Information System (HMIS) is a critical component in improving hospital service quality, operational efficiency, and decision-making processes. Effective implementation of HMIS supports accurate data management, integrated services, and timely information for healthcare providers and hospital management. However, variations in system utilisation, human resource competence, and organisational support may affect the effectiveness of HMIS implementation. This study aimed to analyse factors associated with the effectiveness of Hospital Management Information System implementation at Alimuddin Umar Regional Public Hospital, West Lampung Regency, in 2025. A quantitative study with a cross-sectional design was conducted involving hospital employees who utilised the Hospital Management Information System in their daily work. Respondents were selected using purposive sampling. Data were collected using structured questionnaires. Data analysis included univariate analysis, bivariate analysis using the chi-square test, and multivariate analysis using logistic regression to identify dominant associated factors. The results indicated that the effectiveness of Hospital Management Information System implementation was significantly associated with user competence, system quality, organisational support, and infrastructure availability (p<0.05). The effectiveness of Hospital Management Information System implementation is influenced by human resource competence, system quality, organisational support, and infrastructure. Strengthening user training, improving system reliability, and enhancing organisational commitment are recommended to optimise system effectiveness.

References

Agarwal, R., Gao, G., DesRoches, C., & Jha, A. K. (2010). Research commentary—The digital transformation of healthcare: Current status and the road ahead. Information Systems Research, 21(4), 796–809. https://doi.org/10.1287/isre.1100.0327

Aldosari, B., Al-Mansour, S., Aldosari, H., & Alanazi, A. (2018). Assessment of factors influencing nurses acceptance of electronic medical records in a Saudi Arabia hospital. Informatics in Medicine Unlocked, 10, 82–88. https://doi.org/10.1016/j.imu.2017.12.007

Alshahrani, A., Stewart, D., & MacLure, K. (2019). A systematic review of the adoption and acceptance of eHealth in Saudi Arabia: Views of multiple stakeholders. International Journal of Medical Informatics, 121, 37–44. https://doi.org/10.1016/j.ijmedinf.2018.11.007

Braa, J., Hanseth, O., Heywood, A., Mohammed, W., & Shaw, V. (2004). Developing health information systems in developing countries: The flexible standards strategy. MIS Quarterly, 28(1), 53–81. https://doi.org/10.2307/25148684

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage Publications.

Cresswell, K. M., & Sheikh, A. (2013). Organizational issues in the implementation and adoption of health information technology innovations: An interpretative review. International Journal of Medical Informatics, 82(5), e73–e86. https://doi.org/10.1016/j.ijmedinf.2012.10.007

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. https://doi.org/10.1080/07421222.2003.11045748

DeLone, W. H., & McLean, E. R. (2016). Information systems success measurement. Foundations and Trends® in Information Systems, 2(1), 1–116. https://doi.org/10.1561/2900000005

Handayani, P. W., Hidayanto, A. N., Sandhyaduhita, P. I., Kasiyah, & Ayuningtyas, D. (2018). Hospital information system user acceptance factors: User group perspectives. Informatics for Health and Social Care, 43(1), 84–107. https://doi.org/10.1080/17538157.2016.1269109

Heeks, R. (2006). Health information systems: Failure, success and improvisation. International Development Research Centre.

Hosmer, D. W., Lemeshow, S., & Sturdivant, R. X. (2013). Applied logistic regression (3rd ed.). John Wiley & Sons.

Hotchkiss, D. R., Diana, M. L., & Foreit, K. G. F. (2015). How can routine health information systems improve health systems functioning in low-resource settings? International Journal of Medical Informatics, 84(8), 548–556. https://doi.org/10.1016/j.ijmedinf.2015.05.007

Ifinedo, P. (2011). An empirical analysis of factors influencing Internet/e-business technologies adoption by SMEs in Canada. International Journal of Information Technology & Decision Making, 10(4), 731–766. https://doi.org/10.1142/S0219622011004599

Kim, S., Kim, S., & Lee, J. (2016). Effects of hospital information system quality on medical service quality and user satisfaction. Journal of Information Systems Management, 33(4), 308–321. https://doi.org/10.1080/10580530.2016.1220218

Kementerian Kesehatan Republik Indonesia. (2022). Strategi transformasi digital kesehatan Indonesia. Kemenkes RI.

Lorenzi, N. M., & Riley, R. T. (2000). Managing change: An overview. Journal of the American Medical Informatics Association, 7(2), 116–124. https://doi.org/10.1136/jamia.2000.0070116

Luna, D., Almerares, A., Mayan, J. C., González Bernaldo de Quirós, F., & Otero, C. (2014). Health informatics in developing countries: Going beyond pilot practices to sustainable implementations. International Journal of Medical Informatics, 83(9), 599–612. https://doi.org/10.1016/j.ijmedinf.2014.06.006

McAlearney, A. S., Hefner, J. L., Sieck, C., & Huerta, T. R. (2014). The journey through grief: Insights from a qualitative study of electronic health record implementation. Health Services Research, 50(2), 462–488. https://doi.org/10.1111/1475-6773.12227

Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: Models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17(3), 236–263. https://doi.org/10.1057/ejis.2008.15

Petter, S., DeLone, W., & McLean, E. (2013). Information systems success: The quest for the independent variables. Journal of Management Information Systems, 29(4), 7–62. https://doi.org/10.2753/MIS0742-1222290401

Rahimi, B., Nadri, H., Afshar, H. L., & Timpka, T. (2018). 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

Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240–253. https://doi.org/10.1287/isre.8.3.240

Sligo, J., Gauld, R., Roberts, V., & Villa, L. (2017). A literature review for large-scale health information system project planning, implementation and evaluation. International Journal of Medical Informatics, 97, 86–97. https://doi.org/10.1016/j.ijmedinf.2016.09.007

World Health Organization. (2021). Global strategy on digital health 2020–2025. WHO.

World Medical Association. (2013). World Medical Association Declaration of Helsinki: Ethical principles for medical research involving human subjects. JAMA, 310(20), 2191–2194. https://doi.org/10.1001/jama.2013.281053

Yusof, M. M., Papazafeiropoulou, A., Paul, R. J., & Stergioulas, L. K. (2008). An evaluation framework for health information systems: Human, organization and technology-fit factors (HOT-fit). International Journal of Medical Informatics, 77(6), 386–398. https://doi.org/10.1016/j.ijmedinf.2007.08.011

Zhang, Y., Yu, P., Shen, J., & Chen, H. (2017). Health information technology acceptance by nurses: A review of the literature. Journal of Nursing Management, 25(3), 159–171. https://doi.org/10.1111/jonm.12455

Downloads

Published

2026-05-22

How to Cite

Meiriani, M., Karyus, A., Rahayu, D., Budiati, E., & Putri, D. U. P. (2026). Factors Associated with the Effectiveness of Hospital Management Information System Implementation . Proceedings of the International Conference on Nursing and Health Sciences, 7(1), 141–146. https://doi.org/10.37287/picnhs.v7i1.113

Most read articles by the same author(s)

1 2 > >> 

Similar Articles

<< < 1 2 3 4 > >> 

You may also start an advanced similarity search for this article.