学术
灰关联聚类方法在定点医院基本医疗保险业务综合评价中的应用
夏萍[1,2] 汪凯[3] 李宁秀[2] 吕玉波[1] 霍永忠[1] 金新政[4]
[1]广东省中医院病人服务中心,510120 [2]四川大学华西公共卫生学院社会医学教研室,610041 [3]四川省省级机关事业单位医疗保险基金管理中心,610012 [4]华中科技大学同济医药卫生学院,430030
摘 要:
目的用灰关联聚类法对定点医院基本医疗保险业务进行综合评价,同时探讨这种评价方法在此应用上的特点及效果。方法利用Delphi法建立的评价指标体系,通过参与2003年四川省市医保中心联合开展的定点医院医疗保险业务现场考核获取成都市14所三甲医院的原始数据,并用灰关联聚类方法进行分析。结果编号为H2,H4,H1医院的医疗保险业务质量为优;编号为H12医院的医疗保险业务质量为良;其余10家医院的医疗保险业务质量为差。结论灰关联聚类分析适用于该指标体系的数据特点,且综合评价效果较好。[著者文摘]
文章出处:
《中国卫生统计》-2007年24卷5期 -488-492页
栏目信息:
分 类 号:
Application of .Grey Correlation Clustering Analysis in the Comprehensive Evaluation of Basic Medical Insurance of Designated Hospitals
Xia Ping, Wang Kai, Li Ningxiu, et. al. ,（ Guangdong Province Hospital of TCM （ 510012）, Guangzhou）
Abstract:
Objective The purpOses of this paper are to assess the management quality of basic medical insurance of designated hospitals by using the grey relational cluster method and to explore the characteristics of the method on this issue. Methods The study that was organized by the centers of medical insures Sichuan Province in 2003 was done in 14 the first class of Third Level of hospitals from Chengdu, China, with the index system that was form by Delphi. Results the quality of medical insures of the hospitals that Number is H2, H4, H1 are belong to the good, the quality of medical insures of the hospitals that Number is H12 is belong to the general, the other hospitals are belong to bad. Conclusion grey correlation clustering analysis is applicable to initial data of the index system, and quality of comprehensive evaluation with this method is good.[著者文摘]
Key words:
grey correlation clustering analysis; comprehensive evaluation; medical insurance; designated hospital
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