Optimization Strategies and Application of Information-assisted Decision-making System for Centralized Procurement of Drugs Under the Normalization of Collective Procurement Policy
Abstract
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 hospitals 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 hospitals current drug procurement
implementation, enabling the sustainable implementation of our hospitals procurement work.
Keywords
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