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 pre-cision 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 medi-cation 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. Conclusion: The application of this pre-cision management system for pharmaceuticals successfully reconstructs the operational model for mobile medical services. It significantly enhances logistical efficiency and re-source allocation while ensuring standardized, verifiable management of medical supplies.