Development of Health Information System Interoperability Models to Improve Primary Care Performance

Abstract

This study aims to develop a health information system interoperability model to improve primary care performance. The study addresses the problem of fragmented digital health systems, duplicate data entry, uneven facility readiness, and workflow disruption in primary care services. A qualitative case study design was used in Yogyakarta City, Indonesia, from January to March 2026. Data were collected through semi-structured interviews, non-participant observation, and documentation involving doctors, nurses, midwives, medical record officers, information technology staff, heads of primary care facilities, clinic managers, and local health office officers. Participants were selected through purposive sampling, with snowball sampling used to identify additional informants with specific knowledge of system integration. Thematic analysis identified five main themes: fragmented data entry, uneven readiness of facilities, disruption of service workflows, informal adaptation by health workers, and the need for a socio-technical interoperability model. The findings show that interoperability must combine technical connectivity, semantic standardization, organizational readiness, data governance, and workflow integration. This study contributes to a deeper understanding of digital health implementation by showing that interoperability improves primary care performance when it supports real service processes and reduces administrative burden. The study implies that policymakers and health facility managers need to strengthen standards, training, technical support, and user-centered system evaluation. Further research should test the proposed model across different primary care settings and measure its effect on service quality, reporting accuracy, referral coordination, and health worker workload.