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多层次模糊综合评价法在军队医院绩效评价中的应用
胡晓媛1△,吴娟2△,孙庆文3,沙琨4,杨少春5,余钢5,郭强4*
0
(1. 第二军医大学科研部,上海 200433;
2. 成都军区总医院药剂科,成都 610083;
3. 第二军医大学基础部数理教研室,上海 200433;
4. 第二军医大学训练部,上海 200433;
5. 第二军医大学长海医院财务供应科,上海 200433
共同第一作者
*通信作者)
摘要:
目的用多层次模糊综合评价法科学合理地评价军队医院绩效。方法对某军医大学附属医院2009-2011年度患者、财务、内部流程、学习成长4个维度的绩效进行评价,利用多层次模糊综合评价法得到各评价维度的模糊隶属度,并对评价结果进行对应分析。结果目标医院2009-2011年度整体绩效综合评价等级隶属于“好”和“较好”的比例合计76.85%,根据最大隶属度原则,该医院整体绩效综合评价等级为“好”;对应分析结果显示财务维度 “一般”,患者维度隶属于“差”或“较差”,内部流程维度隶属于“好”,学习成长维度隶属于“好”或“较好”。结论多层次模糊综合评价方法较好地解决了系统多指标的综合问题,运用对应分析方法使评价结果更有合理性,更符合客观实际。
关键词:  模糊综合评价法  对应分析  军队医院  绩效评价
DOI:10.3724/SP.J.1008.2012.001041
投稿时间:2012-05-01修订日期:2012-07-20
基金项目:
Application of multi-layer fuzzy comprehensive evaluation method for evaluating the performance of military hospitals
HU Xiao-yuan1△,WU Juan2△,SUN Qing-wen3,SHA Kun4,YANG Shao-chun5,YU Gang5,GUO Qiang4*
(1. Division of Scientific Research Administration, Second Military Medical University, Shanghai 200433, China;
2. Department of Pharmacy, General Hospital of Chengdu Military Region, Chengdu 610083, Sichuan, China;
3. Department of Mathematics & Physics, College of Basic Medical Sciences, Second Military Medical University, Shanghai 200433, China;
4. Division of Training, Second Military Medical University, Shanghai 200433, China;
5. Department of Finance, Changhai Hospital, Second Military Medical University, Shanghai 200433, China
Co-first authors.
*Corresponding author.)
Abstract:
ObjectiveTo use fuzzy comprehensive evaluation method for rationally evaluating the performance of military hospitals. MethodsThe performance of a military hospital (2009-2011) was evaluated from the following four domains: patient, finance, internal flow, and learning and growth. Multi-layer fuzzy comprehensive evaluation method was used to obtain the fuzzy membership of all the domains of the subjects, and the evaluation results were subjected to corresponding analysis. ResultsIt was found that the total proportion of “good” and “comparatively good” performance was 76.85% for a military hospital in 2009-2011. The overall performance degree of the hospital was “good” according to the maximal fuzzy membership principle. And corresponding analysis showed that the result was “moderate” for the financial domain, “poor” or “comparatively poor” for the patient domain, “good” for the internal flow domain, and “good” or “comparatively good” for the learning and growth domain. ConclusionMulti-layer fuzzy comprehensive evaluation method can properly handle the problem of multiple parameter integration in a system, and corresponding analysis makes the evaluation results more rational and more objective.
Key words:    correspondent analysis  hospital  Performance Evaluation