Deadline-Chasing in Digital Health: Modeling EMR Adoption Dynamics and Regulatory Impact in Indonesian Primary Care
Suryo Satrio, Bukhori Muhammad Aqid

TL;DR
This study models the adoption dynamics of Electronic Medical Records in Indonesian primary care, revealing steady growth, rapid activation, and the influence of deadlines, with projections indicating continued expansion through 2025.
Contribution
It provides empirical modeling of EMR adoption in Indonesia, incorporating logistic growth and forecasting, which was previously limited in understanding the adoption trajectory and regulatory impact.
Findings
Cumulative EMR facilities grew from 2 to 3,533 over 33 months
Median same-month activation rate was 0.889
Projected approximately 4,000 clinics will adopt EMR by June 2025
Abstract
Indonesia digital healthcare transformation is accelerating under Minister of Health Regulation Number 24 of 2022, which mandates the adoption of Electronic Medical Records EMR and integration with the SATUSEHAT platform. However, empirical evidence regarding the factors, trajectory and speed of adoption in Primary Health Facilities FKTP remains limited. This study aims to evaluate the level and rate of EMR adoption within the customer network of a major EMR system provider PT MTK and model short-term projections. This is an observational study with the main variables being cumulative registered EMR facilities, monthly registration flow, same-month activation, same-month inactivation, and the estimated number of eligible FKTPs nationally monthly known as eligible facilities. The analysis uses descriptive analysis, logistic growth modeling, and ARIMA forecasting. The results of the study…
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Taxonomy
TopicsCOVID-19 Digital Contact Tracing · Electronic Health Records Systems · Medical Coding and Health Information
