Presenting a Dynamic Model for Periodical Evaluation of Organizations Using DEA Case study: 13 hospitals in Semnan province.

authors:

avatar seyed MohammadAlikhatamiFirouzabadi , avatar Mohsen Shafiei Nikabadi , avatar Hassan Tebyanian , avatar Naghi Shoji

Warning: No corresponding author defined!
Koomesh: Vol.20, issue 3; 555-560
published online: May 08, 2018
article type: Research Article
received: July 03, 2017
accepted: January 08, 2018

how to cite: MohammadAlikhatamiFirouzabadi S, Shafiei Nikabadi M, Tebyanian H, Shoji N. Presenting a Dynamic Model for Periodical Evaluation of Organizations Using DEA Case study: 13 hospitals in Semnan province.. koomesh. 2018;20(3):e152993. 

Abstract

Introduction: The aim of this study was to investigate and analyze the performance of 13 hospitals in Semnan province using data envelopment analysis (DEA) technique. Materials and Methods: In this research, dynamic linear programming was used to measure the performance of units under the supervision of medical sciences, including hospitals and health centers. For evaluating the performance of hospitals in Semnan province, input and output indices of each hospital, their values in the center and the information of each hospital were available. GAMs software was also used to solve the dynamic model obtained in this paper. Results: By solving mathematical models for each hospital, the efficiency of the hospitals has been achieved, and then the efficient and inefficient units have been identified. If each hospital was inadequate, a suitable model was given to the hospital. Finally, a ranking methodology was used to distinguish between efficient hospitals. Hospitals 2, 3, 6, 7, 8, 12 and 13 were known as efficient units for the whole of these three years, and hospitals 1, 4, 5, 9, 10, and 11 were known as inefficient units. Conclusion: With the implementation of this research, it is possible to introduce the functional models to the top managers of the health sector, providing more accurate planning for the development of capacity for health services and saving resources  

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