聚类方法应用于按病种付费价格制定的可行性探讨  

Feasibility Analysis of Bringing Clustering in Charging Standards Making of Diagnosis Related Groups

作　　者：王朝昕[1] 刘蕊[2] 冯铁男[1] 姜成华[1] 

机构地区：[1]同济大学医学院人文教研室,上海200092 [2]同济大学附属第十人民医院,上海200072

出　　处：《中国医院管理》2013年第5期19-20,共2页Chinese Hospital Management

基　　金：2012年度"科技创新行动计划"博士生学位论文资助项目(12692190900);上海市卫生局青年项目(20124Y182)

摘　　要：在当前中国按病种付费支付方式推行受阻的背景下,针对改革中存在的关键问题,应用文献荟萃分析的方法,并结合在医疗卫生领域逐渐成熟的应用,推导出从理论及方法学的适用性和实践中的可操作性层面,数据挖掘聚类技术均可有效解决当前支付方式改革标准难以制定的困境,以期为决策者提供理论支撑。Under the background of hard carrying out of new payment Diagnosis Related Groups, aiming at addressing key issues of the reform, the advantages of clustering were found from its extensive use of broad areas by literature analysis. Gradual mature practice in medicine also supported that from theory, method and practice, the clustering technique could solve the dilemma of charging standards making of Diagnosis Related Groups for decision making process,

关 键 词：数据挖掘 聚类 按病种付费 

分 类 号：R197.3[医药卫生—卫生事业管理]