Objective: In order to improve the compatibility of the hospital resource planning (HRP) system for the whole life cycle of medical consumables, and to improve the management and control capabilities of hospital institutions on medical consumables.
Methods: Based on the traditional HRP system, a secondary development and design of a medical consumables whole life-cycle artificial intelligence module was conducted, and a neural network machine learning algorithm module was introduced to enhance its big data integration and analysis capabilities.
Results: The simulation analysis found that after adding this module, the proportion of minimum inventory, the proportion of procurement cost difference and the expiration rate of consumables all decreased significantly, and the differences were statistically significant (P<0.05).
Conclusions: The whole life cycle module of medical consumables based on HRP system can effectively improve the management efficiency of hospital medical consumables, adjust the warehouse inventory management ability, and improve the overall management level of medical consumables.
Keywords: artificial intelligence; life cycle management; machine learning; the hospital resource planning.