Ranking of heart hospitals using cross-efficiency and two-stage DEA

2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2017-10-01 DOI:10.1109/ICCKE.2017.8167878

Mirpouya Mirmozaffari, A. Alinezhad

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引用次数: 28

Abstract

Heart patients shows several symptoms and it is rigid to point them. Data envelopment analysis (DEA) delivers a comparative efficiency degree for each decision-making units (DMUs) with several inputs and outputs. Evaluating of hospitals is one of the major applications in DEA. In current study, CCR input oriented (CCRIO) model is applied. A new-two stage DEA model and a cross-efficiency are considered for efficiency evaluation and ranking of DMUs at the same periods. The data covers a six-year span from 2011 to 2016 for 12 local heart hospitals. The system was implemented in Banxia Frontier Analyst software and average efficiency scores, efficient DMUs contribution, inefficient DMUs reference, number of efficient DMUs, number of inefficient DMUs, target and potential improvement are compared. The sixth, the tenth and the eleventh hospitals with five high efficient DMUs (100%) among six DMUs are introduced as the highest performance hospitals and second period with an average efficiency of 85.07% is presented by means of the best presentation period.

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应用交叉效率和两阶段DEA对心脏病医院进行排名

心脏病患者有几种症状，很难指出来。数据包络分析(DEA)为具有多个输入和输出的每个决策单元(dmu)提供了相对效率程度。医院评价是DEA的主要应用之一。在目前的研究中，采用的是CCR输入导向(CCRIO)模型。提出了一种新的两阶段DEA模型和交叉效率模型，对同一时期的dmu进行效率评价和排序。这些数据涵盖了2011年至2016年6年间12家当地心脏医院的数据。系统在半夏Frontier Analyst软件中实现，并对平均效率得分、有效dmu贡献、无效dmu参考、有效dmu数量、无效dmu数量、目标和改进潜力进行了比较。介绍6家医院中，第6、第10、第11家医院有5家高效医院(100%)为最高绩效医院，第2期以平均效率85.07%为最佳呈现期。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 7th International Conference on Computer and Knowledge Engineering (ICCKE)

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