中国药房2024，Vol.35Issue(13)：1558-1563,6.DOI:10.6039/j.issn.1001-0408.2024.13.03
基于数据挖掘技术优化DRG临床用药目录
Optimization of the clinical drug list of DRG based on data mining technology
摘要
Abstract
OBJECTIVE To optimize the clinical drug list of diagnosis-related group(DRG),reduce the drug cost of patients,and increase the DRG settlement rate.METHODS By selecting BR23 disease group in the department of neurology of a hospital as the research object,data mining technology was used to explore the medication rule of the disease group,and the key monitored drugs were scored by comprehensive evaluation of drugs,thus optimizing the clinical drug list of disease groups.The hospitalization information of patients enrolled in the disease group in December 2022 was selected as the pre-optimization data,and the hospitalization information of patients enrolled in the disease group in September 2023 was selected as the post-optimization data.The implementation effect of the optimized list was evaluated by comparing the medical quality and drug cost data between the two groups.RESULTS After optimizing the clinical drug list,the settlement rate of this disease group increased from 84.36%before optimization to 104.70%;there was significant reduction in hospitalization drug cost and total hospitalization cost(P＜0.05);the consumption of key monitored drugs significantly decreased.CONCLUSIONS Data mining technology helps explore the clinical medication rules of disease groups,which can be used by pharmacists to improve the settlement rate of DRG through effective pharmaceutical intervention.关键词
疾病诊断相关分组/数据挖掘技术/临床用药目录/重点监测药品/药品综合评价Key words
diagnosis-related group/data mining technology/clinical drug list/key monitored drugs/drug comprehensive evaluation分类
医药卫生引用本文复制引用
恽琴素,周伟贤,徐卉,刘猛,陈荣..基于数据挖掘技术优化DRG临床用药目录[J].中国药房,2024,35(13):1558-1563,6.基金项目
常州市科技计划项目(No.CJ20239009,No.CM20223005) （No.CJ20239009,No.CM20223005）
