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Title |
Providing a Combinational Framework in order to assess the Performance of Hospitals in Tehran Using Data Envelopment Analysis and Data Mining |
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Author |
Seyed Shahabedin Shahebrahimi, Mehdi Ghazanfari, Alimohammad Mosadeghrad |
| Citation |
Vol. 25 No. 7 pp. 178-186 |
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Abstract |
In the present study using a combination of data mining and data envelopment analysis, a new approach is proposed to evaluate the performance of hospitals in Tehran province, in which the entrance of each hospital is the accreditation factors of each department, along with an expert opinion in this regard and its quality enters the evaluation system instead of the quantity of each input. In this research, among the 25 accreditation points in different parts of each hospital, 7 factors were selected as the most significant cases, which were applied by 9 outcomes of the hospital in the data envelopment analysis method. In order to evaluate performance, each hospitals performance have evaluated relatively by the input-centered DEA-CCR approach. The unfavorable outcomes of hospitals, including mortality rates before and after 24 hours and the average days of hospitalization in the hospital are also included. Further, by using the DEA model derived from shadow prices, a virtual model is obtained for each hospital that each of them can reach the maximum efficiency with targeting them. Important and effective factors in the performance of hospitals identified in this research and introduced as input into the data envelopment analysis system; management and leadership, infection control, nursing management, information technology, human resource management, and drug management. The results of this study are a framework for evaluating organizational units especially hospitals, which provides a goal for high-performance units in addition to identifying important factors in the quality of units functioning and considering factors with destructive effect. |
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Keywords |
Hospital evaluation, accreditation, data envelopment analysis, data mining, dimension reduction |
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