Regulatory Pressure and Perceived Threats in Indonesian Electronic Medical Records Adoption

Ghozali, M.; Dewi, C.K.

doi:10.58209/hehp.14.1.115

Regulatory Pressure and Perceived Threats in Indonesian Electronic Medical Records Adoption

Document Type : Descriptive & Survey

Authors

M. Ghozali ¹

C.K. Dewi ²

¹ Department of Quranic Studies and Interpretation, Faculty of Islamic Theology and Thought, Sunan Kalijaga State Islamic University, Yogyakarta, Indonesia

² Department of Biomedical Sciences, Faculty of Science and Technology, Sunan Kalijaga State Islamic University, Yogyakarta, Indonesia

10.58209/hehp.14.1.115

Abstract

Aims: This study explored the dynamics of electronic medical records adoption and use in primary healthcare facilities in Indonesia, specifically examining the role of regulatory pressure and perceived technological threats within the framework of mandatory national health policies.
Instrument & Methods: This multisite cross-sectional survey was conducted among 688 healthcare workers from 27 community health centers in Bantul Regency, Indonesia. An analytical framework was used to examine regulatory pressure, perceived threat, performance expectancy, effort expectancy, facilitating conditions, behavioral intention, and actual use, with the latter analyzed through structural equation modeling.
Findings: Perceptions of utility, ease of use, and organizational support played a vital role in shaping the intention to adopt electronic medical records. Regulatory pressure emerged as a primary driver shaping facility readiness and practitioners’ psychological response, directly strengthening behavioral intention. Notably, actual system usage was driven by the synergy between regulatory mandates and institutional readiness.
Conclusion: Successful digital transformation in primary healthcare requires coherence among regulatory enforcement, institutional readiness, and healthcare workers' adaptive responses to technological change.

Keywords

Electronic Medical Records

Primary Healthcare

Regulatory Pressure

Health Belief Models

Digital Health

Subjects