<![CDATA[The rapid proliferation of medical devices in clinical settings necessitates efficient tracking and maintenance to ensure healthcare quality and cost optimization. (Gap) Despite technological advancements, many small to medium-sized clinics continue to rely on manual, paper-based equipment management systems. These traditional methods are prone to human error, lack real-time monitoring, and suffer from inefficient audit trails. (Objective) This study aims to develop a cost-effective, QR code-based equipment management system tailored specifically for small-scale clinical facilities. The proposed system integrates a Flutter-based cross-platform application with a centralized PostgreSQL database, utilizing standard webcams for QR code scanning to eliminate the need for expensive, dedicated scanning hard-ware. (Findings) Experimental implementations demonstrate that the system achieves a >95% QR code identification success rate at optimal scanning distances (0.3–1.0m) under standard lighting. Further-more, the architecture guarantees 99.2% network uptime, seamless real-time data synchronization, and supports up to 20 concurrent users with low database query latency (15–30 ms). Cost analysis indicates significant economic advantages, with first-year operational costs ranging from $300 to $600, markedly lower than commercial alternatives. (Implications) By replacing outdated manual methods with an auto-mated, role-based tracking system, this solution provides clinics with a robust, accessible, and scalable tool to enhance operational efficiency and streamline equipment lifecycle management.]]>
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