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All Journal SENTRALISASI Proceeding of International Conference on Social Science and Humanity
Wati, Wiwin Sri Niscahya
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Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Evaluation Hospital Information System Implementation Using Technology Acceptance Model to Enhance Patient Satisfaction Wati, Wiwin Sri Niscahya; Santoso, Budi; Cahyono, Dwi
SENTRALISASI Vol. 14 No. 2 (2025): May
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/sl.v14i2.4232

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.
SYSTEMATIC REVIEW OF THE IMPLEMENTATION OF THE TECHNOLOGY ACCEPTANCE MODEL (TAM) IN HOSPITAL INFORMATION MANAGEMENT SYSTEMS (HIMS) FOR IMPROVING HEALTH SERVICE QUALITY AND PATIENT SATISFACTION: A SYSTEMATIC LITERATURE STUDY Wati, Wiwin Sri Niscahya
Proceeding of International Conference on Social Science and Humanity Vol. 2 No. 1 (2025): Proceeding of International Conference on Social Science and Humanity
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/icossh.v2i1.194

Abstract

Objective: This study investigates the application of the Technology Acceptance Model (TAM) in adopting Hospital Information Management Systems (HIMS) and related healthcare technologies from 2020 to 2025. Method: Through a systematic literature review, 20 studies were analyzed to identify key factors influencing HIMS adoption, barriers, facilitators, and their impact on healthcare service quality and patient satisfaction. Results: Perceived usefulness (PU) and perceived ease of use (PEOU) consistently emerged as critical determinants of acceptance, underscoring the importance of user-friendly, functional designs. Privacy concerns, resistance to change, and inadequate training were identified as significant barriers, while organizational support, trust-building measures, and personalization facilitated adoption. The COVID-19 pandemic accelerated the adoption of telehealth and IoT solutions, highlighting the role of external factors in driving acceptance. However, sustaining long-term engagement requires robust security measures, adaptive technologies, and standardization of evaluation metrics. Novelty: This study offers actionable insights for healthcare administrators and policymakers to optimize HIMS adoption, improve operational efficiency, and enhance patient satisfaction.
Co-Authors Dwi Budi Santoso DWI CAHYONO