文章摘要
李鑫,李晓云,严汝庆,黄树庭.关于优化病区抢救车药品配备方案的探讨[J].中国药事,2020,34(4):490-496
关于优化病区抢救车药品配备方案的探讨
On Optimizing the Drug Allocation Scheme of the Rescue Vehicles in the Ward
投稿时间:2019-08-22  
DOI:10.16153/j.1002-7777.2020.04.019
中文关键词: 抢救车  配备药品  品种和数量  优化方案
英文关键词: rescue vehicles  drug allocation  variety and quantity  the optimized scheme
基金项目:
作者单位
李鑫 广西壮族自治区贺州市人民医院, 贺州 542800 
李晓云 广西壮族自治区贺州市人民医院, 贺州 542800 
严汝庆 广西壮族自治区贺州市人民医院, 贺州 542800 
黄树庭 广西壮族自治区贺州市人民医院, 贺州 542800 
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中文摘要:
      目的:探讨病区抢救车配备药品品种和数量的合理配置,为医院开展迅速、及时的抢救提供重要保障。方法:通过医院信息系统的大数据分析我院抢救用药信息,参照《急(抢)救药品直接挂网采购示范药品目录》,结合我院实际情况制定优化配备方案,并采取一系列措施保障优化方案的实施到位。结果:全院抢救车上药品配置品种由优化前的9种,调整为优化后的19种,抢救车外用药占比由优化前的65.94%(1301/1973)下降至20.98%(167/796)。全院各病区通过大数据个性化分析,制定各院区的优化配置方案。实现科学配置后,完全满足抢救需要占比由原来的34.06%(672/1973)大幅提升至79.02%(629/796)。结论:本研究制定的个性化抢救车药品优化配置方案,更科学、合理地满足抢救需要,提升了救护工作的效果。
英文摘要:
      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.
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