Medical records are a crucial component of healthcare services, but manual recording systems often present challenges such as delayed data access, information redundancy, and the risk of document loss. This study aims to design and implement an electronic medical records (EMR) information system that can improve healthcare service efficiency. Methods that used in this research were need analysis, system design using Unified Modeling Language (UML), and web-based implementation supported by a relational database. The results show that the EMR system can accelerate patient data access, minimize duplication of records, and improve the accuracy of medical documentation. A trial of the system at a primary healthcare facility demonstrated 35% increase in service efficiency compared to the manual method. Therefore, the implementation of EMR contributes significantly to improve healthcare service quality and can be further developed through cloud and mobile application integration.
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