Abstract
Objective: Our hospital has developed a centralized procurement drug information-assisted decision-making system based on our actual operation mode and the current usage status of centrally procured drugs. We aimed to optimize and upgrade this system based on its original foundation. Methods: We addressed practical issues by adding corresponding modules, such as a demand forecasting module, a clinical task allocation informationized module, and a real-time monitoring and calculation module for surplus fund retention amounts. Results: The optimized system can reduce subjective errors in our hospital's reporting, intelligently allocate clinical department tasks, and provide real-time monitoring of abnormal indicators and surplus fund retention amounts. Conclusion: The optimization of the centralized procurement drug information-assisted decision-making system effectively addresses the urgent needs of our hospital s current drug procurement implementation, enabling the sustainable implementation of our hospital s procurement work.
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