Development and evaluation of a precision management system for mobile medical service pharmaceuticals: A closed-loop digital approach

Background: Traditional mobile medical services face significant operational challenges, including inefficient manual supply chains, non-standardized treatment records, and a lack of financial traceability, which collectively lead to high audit risks and resource wastage. To address these issues, this study developed a precision management system designed to digitize and standardize the pharmaceutical supply chain for mobile clinics. Methods: We constructed a closed-loop management system integrating dynamic demand forecasting, offline inventory control, and data transmission capabilities. A retrospective study was conducted to evaluate the system's performance by comparing 50 missions using the precision model (2024) against 50 missions using traditional manual methods (2023). Key metrics included workflow efficiency, prediction accuracy, and data integrity. Results: Implementation of the system significantly optimized operational workflows. Pre-mission preparation time was reduced by 97.53% (from 56.7 to 1.4 hours), and post-mission data processing time decreased by 94.47%. The dynamic forecasting model improved medication utilization rates by 36% while reducing prediction errors by 26%. Furthermore, the system lowered medication waste by 8% and achieved 100% financial and data record integrity through blockchain-based traceability. Conclusions: The application of this precision management system for pharmaceuticals successfully reconstructs the operational model for mobile medical services. It significantly enhances logistical efficiency and resource allocation while ensuring standardized, verifiable management of medical supplies.