Evaluation Hospital Information System Implementation Using Technology Acceptance Model to Enhance Patient Satisfaction

Authors

DOI:

https://doi.org/10.33506/sl.v14i2.4232

Keywords:

Management Information System, Perceived Ease of Use, Perceived Usefulness, Trust, Technology Acceptance Model

Abstract

This study examines the implementation of the Hospital Management Information System at Kaliwates General Hospital, with a focus on its impact on service efficiency and patient satisfaction. Using the Technology Acceptance Model, this research explores how Perceived Ease of Use, Perceived Usefulness, Trust, and Perceived Risk influence patient attitudes and behavioral intentions toward using the system. A quantitative approach was employed with Structural Equation Modeling to analyze the relationships among these variables and their effects on SIMRS adoption. A sample of 169 patients who interacted with SIMRS at Kaliwates Hospital participated in the study. The results indicate that PEOU and PU significantly influence both Attitude Toward Using and Behavioral Intention to Use. Trust plays a pivotal role in mitigating perceived risks and shaping positive attitudes toward the system, while Perceived Risk has a significant negative impact on patient attitudes. The findings further reveal the mediating role of these factors in influencing patients’ behavioral intentions to adopt the system. This study provides valuable insights into the factors influencing technology adoption in healthcare settings and offers actionable recommendations for improving SIMRS implementation, particularly by enhancing the user experience, ensuring robust data security, and providing continuous training and support for patients. Hospital Management Information System, Perceived Ease of Use, Perceived Risk, Perceived Usefulness, Trust, Technology Acceptance Model.

References

I. Mookkiah, M. Singh, S. Bobdey, S. Narayan, N. Anand, and K. Maramraj, “Exploring attributes influencing patient satisfaction in a group of hospitals,” Journal of Marine Medical Society, vol. 24, pp. 89–93, 2022, doi: 10.4103/jmms.jmms_158_20.

N. Asamrew, A. A. Endris, and M. Tadesse, “Level of Patient Satisfaction with Inpatient Services and Its Determinants: A Study of a Specialized Hospital in Ethiopia,” Journal of Environmental and Public Health, vol. 2020, 2020, doi: 10.1155/2020/2473469.

T. Nguyen, H. Nguyen, and A. Dang, “Determinants of patient satisfaction: Lessons from large-scale inpatient interviews in Vietnam,” PLoS ONE, vol. 15, 2020, doi: 10.1371/journal.pone.0239306.

A. Hussain, M. S. Sial, S. Usman, J. Hwang, Y. Jiang, and A. Shafiq, “What Factors Affect Patient Satisfaction in Public Sector Hospitals: Evidence from an Emerging Economy,” International Journal of Environmental Research and Public Health, vol. 16, 2019, doi: 10.3390/ijerph16060994.

H. Albalwei and N. Ahmed, “Quality of Patient Care in Hospital Administration: A Review,” Journal of Pharmaceutical Research International, 2021, doi: 10.9734/jpri/2021/v33i40a32214.

A. Goula et al., “Public Hospital Quality Assessment. Evidence from Greek Health Setting Using SERVQUAL Model,” International Journal of Environmental Research and Public Health, vol. 18, 2021, doi: 10.3390/ijerph18073418.

G. Irianto, A. D. Abdilah, S. Suhat, Z. Kurnia, and N. Mauliku, “The Relationship Between Quality of Health Services with Patient Satisfaction in Private Hospital in West Java,” Jurnal Keperawatan Komprehensif (Comprehensive Nursing Journal), 2024, doi: 10.33755/jkk.v10i3.710.

P. Sandhyaduhita, H. R. Fajrina, A. Pinem, A. Hidayanto, P. W. Handayani, and K. Junus, “Hospital Service Quality from Patients Perspective,” Hospital Management and Emergency Medicine, 2020, doi: 10.4018/978-1-7998-2451-0.ch027.

G. F. S. Hendrik, “Analysis of the quality of health services in inpatient installations on patient satisfaction,” International Journal of Research in Medical Sciences, 2023, doi: 10.18203/2320-6012.ijrms20232404.

E. Setiawati, R. Trisnawati, and U. Diana, “The Analysis Of Acceptance Of Hospital Information Management System (Hims) Using Technology Acceptance Model Method,” Riset Akuntansi dan Keuangan Indonesia, 2019, doi: 10.23917/REAKSI.V4I2.8652.

F. D. Davis, Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, vol. 13. in 5, vol. 13. MIS Quarterly, 1989.

E. Ammenwerth, “Technology Acceptance Models in Health Informatics: TAM and UTAUT.,” Studies in health technology and informatics, vol. 263, pp. 64–71, 2019, doi: 10.3233/SHTI190111.

H. I. Hidayahtullah, A. Lathif, and A. J. Rassyifa, “Enhancing the Implementation of the Technology Acceptance Model (TAM) in the Drug Management Information System within the Pharmaceutical Installation of the Private Hospitals,” 2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA), pp. 1–6, 2024, doi: 10.1109/eSmarTA62850.2024.10638974.

A. H. A. H. Rashid .et.al, “Technology Acceptance Models to Improve Adoption of Health Information Systems,” Journal of Advanced Sciences and Engineering Technologies, 2021, doi: 10.32441/jaset.01.01.03.

M. H. Kalayou, B. Endehabtu, and B. Tilahun, “The Applicability of the Modified Technology Acceptance Model (TAM) on the Sustainable Adoption of eHealth Systems in Resource-Limited Settings,” Journal of Multidisciplinary Healthcare, vol. 13, pp. 1827–1837, 2020, doi: 10.2147/JMDH.S284973.

R. Wandira, A. Fauzi, and F. Nurahim, “Analysis of Factors Influencing Behavioral Intention to Use Cloud-Based Academic Information System Using Extended Technology Acceptance Model (TAM) and Expectation-Confirmation Model (ECM),” Journal of Information Systems Engineering and Business Intelligence, 2024, doi: 10.20473/jisebi.10.2.179-190.

R. Scherer, F. Siddiq, and J. Tondeur, “The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education,” Comput. Educ., vol. 128, pp. 13–35, 2019, doi: 10.1016/j.compedu.2018.09.009.

M. O. Opoku and F. Enu-kwesi, “Relevance of the technology acceptance model (TAM) in information management research: a review of selected empirical evidence,” Pressacademia, 2020, doi: 10.17261/pressacademia.2020.1186.

A. Shachak, C. Kuziemsky, and C. Petersen, “Beyond TAM and UTAUT: Future directions for HIT implementation research,” Journal of biomedical informatics, 2019, doi: 10.1016/j.jbi.2019.103315.

J. F. Hair, J. J. Risher, M. Sarstedt, and C. Ringle, “When to use and how to report the results of PLS-SEM,” European Business Review, 2019, doi: 10.1108/EBR-11-2018-0203.

Sugiyono, Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: CV. Alfabeta., 2017.

M. Dhingra and R. K. Mudgal, “Applications of Perceived Usefulness and Perceived Ease of Use: A Review,” 2019 8th International Conference System Modeling and Advancement in Research Trends (SMART), pp. 293–298, 2019, doi: 10.1109/SMART46866.2019.9117404.

R. Izuagbe et al., “Effect of perceived ease of use on librarians’ e-skills: Basis for library technology acceptance intention,” Library & Information Science Research, 2019, doi: 10.1016/J.LISR.2019.100969.

M. Panjaitan, “Perceived Risk and the Technology Acceptance Model: A Proposed Study for e-Commerce Adoption,” 2021, Accessed: Jan. 31, 2025.

K. Shahid, Q. Yang, A. Waheed, and Y. Rashid, “The impact of technological alignment and advancement on firms’ project performance with mediating role of technology acceptance model,” Human systems management, pp. 1–12, 2020, doi: 10.3233/hsm-190826.

A. Saifunnasrullah and K. Budiman, “Digital Transformation Analysis in the Manufacturing Module in Aluminium Companies using the TAM Method,” Journal of Advances in Information Systems and Technology, 2023, doi: 10.15294/jaist.v5i1.66567.

M. Meiryani, A. Chang, B. A. Lorenzo, and Z. M. Daud, “Analysis of Technology Acceptance Model (TAM) Approach to the Quality of Accounting Information Systems,” Proceedings of the 9th International Conference on Computer and Communications Management, 2021, doi: 10.1145/3479162.3479168.

H. Warsono, T. Yuwono, and I. Putranti, “Analyzing technology acceptance model for collaborative governance in public administration: Empirical evidence of digital governance and perceived ease of use,” International Journal of Data and Network Science, 2023, doi: 10.5267/j.ijdns.2022.12.008.

A. Wicaksono and A. Maharani, “The Effect of Perceived Usefulness and Perceived Ease of Use on the Technology Acceptance Model to Use Online Travel Agency,” Journal of Business Management Review, 2020, doi: 10.47153/jbmr15.502020.

K. P. Widodo, A. Rachmawati, and L. Wijayanti, “Using the Technology Acceptance Model to Analyze Information System Performance,” International Journal of Business, Humanities, Education and Social Sciences (IJBHES), 2022, doi: 10.46923/ijbhes.v4i2.198.

D. Dhagarra, M. Goswami, and G. Kumar, “Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective,” International Journal of Medical Informatics, vol. 141, pp. 104164–104164, 2020, doi: 10.1016/j.ijmedinf.2020.104164.

C.-C. Wang, “The process of implementing problem-based learning in a teacher education programme: an exploratory case study,” Cogent Education, vol. 8, no. 1, p. 1996870, Jan. 2021, doi: 10.1080/2331186X.2021.1996870.

T. Nguyen, “Citizens’ intentions to use e-government during the COVID-19 pandemic: integrating the technology acceptance model and perceived risk theory,” Kybernetes, vol. 52, pp. 2329–2346, 2023, doi: 10.1108/k-07-2022-1023.

M. Yadav and S. Shanmugam, “Factors Influencing Behavioral Intentions to Use Digital Lending: An Extension of TAM Model,” Jindal Journal of Business Research, 2024, doi: 10.1177/22786821231211411.

H. Yang and H. Lee, “How does the perceived physical risk of COVID-19 affect sharing economy services?,” Current Issues in Tourism, vol. 25, pp. 1046–1062, 2022, doi: 10.1080/13683500.2022.2035700.

A. A. Zahrani, “Consumers’ perceptions of intention to use a credit card: perceived risk and security,” Entrepreneurship and Sustainability Issues, 2021, doi: 10.9770/jesi.2021.9.2(2).

X. Li, Y. Fan, S. Assanangkornchai, and E. McNeil, “Application of the Theory of Planned Behavior to couples’ fertility decision-making in Inner Mongolia, China,” PLoS ONE, vol. 14, 2019, doi: 10.1371/journal.pone.0221526.

W. Malatji, R. V. Eck, and T. Zuva, “Understanding the usage, Modifications, Limitations and Criticisms of Technology Acceptance Model (TAM),” Advances in Science, Technology and Engineering Systems Journal, vol. 5, pp. 113–117, 2020, doi: 10.25046/aj050612.

W. Al-rahmi et al., “Integrating Technology Acceptance Model With Innovation Diffusion Theory: An Empirical Investigation on Students’ Intention to Use E-Learning Systems,” IEEE Access, vol. 7, pp. 26797–26809, 2019, doi: 10.1109/ACCESS.2019.2899368.

M. E. Yalcin and B. Kutlu, “Examination of students’ acceptance of and intention to use learning management systems using extended TAM,” Br. J. Educ. Technol., vol. 50, pp. 2414–2432, 2019, doi: 10.1111/BJET.12798.

Downloads

Published

2025-04-16

How to Cite

Wati, W. S. N., Santoso, B., & Cahyono, D. (2025). Evaluation Hospital Information System Implementation Using Technology Acceptance Model to Enhance Patient Satisfaction. SENTRALISASI, 14(2), 49–69. https://doi.org/10.33506/sl.v14i2.4232

Issue

Section

Articles

Similar Articles

<< < 1 2 3 4 5 6 7 > >> 

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