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目的利用数据模拟方法深入分析人工处方点评模式,并提出改进方案。方法以月份为单位,采集每月处方点评工作中所涉及关键指标(如处方种类、人员构成等)的数据平均值,作为基本要素构建模拟模型,通过模拟分析,探讨人工处方点评模式利弊。结果医院每月需审核的处方总数为8万份左右,人工审核异常率在30%左右,基于本文提出的模型,结合理想情况下可以使用的资源,每月人工审核的处方最多只能达到1.05万份左右,因此仍存在1.41万份左右有问题的处方。结论通过客观的数据分析,结果表明最合适的方式还是将药师智慧与信息技术结合,开发事前智能自动处方点评系统,真正落实处方监督制度,保证患者用药安全。
Objective To analyze in-depth reviewing mode of artificial prescription by using data simulation method and propose improvement plan. Methods The average monthly data of key indicators (such as prescription type, staff composition, etc.) Collected during the monthly review of the work were collected on a monthly basis. The basic elements were used to construct the simulation model. The pros and cons of the artificial prescription review model were discussed through the simulation analysis. Results The total number of prescriptions to be audited by the hospital was about 80,000 per month and the abnormal rate of manual examination was about 30%. Based on the model proposed in this paper and the resources available under ideal conditions, the monthly manual review could only reach a maximum of 1.05 About a million copies, so there are still about 14100 or so problematic prescriptions. Conclusion Through objective data analysis, the results show that the most appropriate way is to combine the wisdom of pharmacists and information technology to develop pre-automatic intelligent prescription review system and truly implement prescription supervision system to ensure the safety of patients.