基于疾病诊断相关组合的慢性缺血性心脏病分组方法及效果的研究  

Research on Grouping Method and Effect of Chronic Ischemic Heart Disease Based on Diagnosis Related Groups

作　　者：田伟[1] 张媛[1] 尹桂华[1] 

机构地区：[1]临沂市沂水中心医院,山东临沂276400

出　　处：《中国卫生产业》2016年第24期188-190,共3页China Health Industry

基　　金：山东省医药卫生科技发展计划项目(2015WSA13002)

摘　　要：目的确定适合医院的疾病诊断相关组合(DRGs)分组方法。方法以某三甲医院慢性缺血性心脏病为研究对象,用非参数检验Kruskal Wallis方法和多因素回归方法分析选取分组的分类节点变量,用决策树模型修正的ECHAID算法对2013-2014年5 253份病案首页数据进行分组。结果共形成了7个DRGs组合。结论 E-CHAID决策树分类方法用于DRGs分组是可行且有效的。Objective To determine the diagnosis related group method suitable for hospitals. Methods The chronic ischemic heart disease in some AAA hospital was selected as the research objects, and the grouping classification nodeless variable was selected by the non-parametric test Kruskal Wallis method and multi-factor regression method, and 5 253 cases of case front-page data from 2013 to 2014 were grouping by the E-CHAID algorithm revised by decision tree model.Results 7 DRGs groups were formed. Conclusion The application of E-CHAID decision tree classification method in DRGs grouping is feasible and effective.

关 键 词：疾病诊断相关组合 决策树分类 分类节点 慢性缺血性心脏病 

分 类 号：R7[医药卫生—临床医学]