Analytical Data for Electronic Medical Records in Primary Health Care

¹ Department of Health Policy and Management, Faculty of Medicine, Public Health and Nursing, Gadjah Mada University.
² Department of Family Medicine, Community and Bioethics, Faculty of Medicine, Public Health and Nursing, Gadjah Mada University

^* Corresponding email: gysanjaya@ugm.ac.id

Abstract

Digital health transformation encourages primary health facilities to implement electronic medical records (RME) that are interoperable according to standard medical classification and terminology. The standard RME also allows connecting to wearable devices for direct patient monitoring. An analytical approach to digital data has the potential to support clinical decision making for primary care physicians. This study aims to Strengthening primary care as a center for continuous patient care by using an analytical approach in the form of a dashboard.. This study uses a participatory action research approach in implementing RME in primary care. The 4 stages of action research were carried out by involving primary care physicians (dentists and general practitioners), medical records, nurses, pharmacists and electronic medical record developers. The trial implementation of RME and wearable devices was evaluated using the System Usability Scale (SUS). Structured RME data makes it easy to analyze and visualize in the form of a dashboard to support primary care management and monitor individual patient health status. The analytic features in RME that allow direct patient monitoring are perceived as useful for supporting continuous patient care. The use of data standards in clinical records such as ICPC, LOINC and SNOMED-CT makes it easier to achieve semantic interoperability including potential interoperability with portable medical devices.