Objective: To explore the reasonable allocation of the variety and quantity of the drugs for the rescue vehicles equipped in the ward in order to provide an important guarantee for the rapid and timely rescue in the hospital. Methods: The rescue medication information of our hospital was analyzed based on the big data of the hospital information system and the catalogue of "Emergency (Rescue) Drugs Directly Connected to the Network to Purchase Demonstration Drugs". An optimal deployment plan was formulated connected with the actual situations of our hospital, and a series of measures were taken to ensure the implementation of the optimized scheme. Results: The allocation number of drugs on the rescue vehicles of the hospital has increased from 9 (before optimization) to 19. and the proportion of drugs for external use on the rescue vehicles has decreased from 65.94% (1301/1973) to 20.98% (167/796). Through the personalized analysis of big data, each ward of the whole hospital has formulated an optimized allocation scheme. After scientific configuration, the proportion of fully meeting the rescue needs has increased significantly from the original 34.06% (672/1973) to 79.02% (629/796). Conclusion: The optimized drug allocation plan particularly for the rescue vehicles formulated in this study could meet the rescue needs more scientifically and reasonably, and it would improve the effectiveness of the rescue work.