Application of SPD Model in Cost Control and Management Efficiency of Hemostatic Consumables in Hospitals

Current management of hemostatic consumables is challenged by inefficient inventory control, substantial wastage, and recurrent operational adverse events. The SPD model offers an integrated supply chain approach with strong potential to optimize medical logistics. This study aims to evaluate the impact of the SPD model on cost control and management efficiency in hemostatic consumables.

This retrospective study was conducted at a tertiary (Grade A) cancer hospital. Hemostatic consumables managed under the traditional model (January-December 2023) were compared with those under the SPD model (January-December 2024). The SPD model integrated an information technology platform, IoT-enabled smart cabinets, barcode scanning, and a pay-on-consumption settlement mechanism. T-tests and chi-square tests were used to compare the two groups in cost control metrics, management efficiency scores, staff satisfaction, and the incidence of operational adverse events.

In terms of cost control, the SPD model demonstrated statistically significant reductions in monthly average hemostatic material expenditure, requisition frequency, expiration loss rate, and reported loss rate (all p < 0.05). Regarding management efficiency, the SPD model showed significantly higher scores in timely delivery, work efficiency, standardization, supply traceability, waste recovery, delivery satisfaction, and demand forecasting, while achieving significantly lower scores in item issues and operating costs (all p < 0.05). Staff satisfaction surveys revealed significant improvements in operational convenience, clinical reliability, system usability, and overall satisfaction under the SPD model (all p < 0.05). Furthermore, the incidence of all documented operational adverse events was significantly reduced under the SPD model (all p < 0.05).

The SPD model facilitates precise, low-loss, and highly efficient control of hemostatic consumables, representing an effective optimization strategy with considerable clinical benefits and significant potential for widespread adoption. Despite limitations including single-center design and a one-year observation period, future multi-center and longitudinal studies are warranted to validate these findings and assess long-term sustainability.