Document Type : Research Paper

Authors

1 Department of Mathematics, Ayandegan Insttitute of Higher Education, Tonekabon, Iran.

2 Department of Engineering, Amirkabir University, Tehran, Iran.

3 Department of Mathematics, Azad University, Branch Lahijan, Guilan, Iran.

Abstract

Data Envelopment Analysis (DEA) is a nonparametric technique used to determine the relative efficiency of Decision Making Units (DMUs). Results from DEA analysis yield important information regarding the optimal operating capabilities of each unit. This paper studies DEA to hospital sectors and identifies their rankings during a period of six years. Data for the study comes from a hospital in the North of Iran. This article compares the performance of different parts of the hospital over the years. It can also aid improve hospital performance.

Keywords

[1]      Andersen, P., & Petersen, N. C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management science39(10), 1261-1264.
[2]      Barouni, M., Amiresmaieli, M. R., Shahravan, A., & Amini, S. (2017). The efficiency assessment of dental units using data envelopment analysis approach: The case of Iran. Iranian journal of public health46(4), 552.
[3]      Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research2(6), 429-444.
[4]      Charnes, A., Cooper, W. W., Wei, Q. L., & Huang, Z. M. (1989). Cone ratio data envelopment analysis and multi-objective programming. International journal of systems science20(7), 1099-1118.
[5]      Cooper, W. W., Seiford, L. M., & Zhu, J. (Eds.). (2011). Handbook on data envelopment analysis (Vol. 164). Springer Science & Business Media.
[6]      Cribari-Neto, F., & Zeileis, A. (2009). Beta regression in R. Department of statistics and mathematics x, WU Vienna University of Economics and Business, Vienna.
[7]      Cheng, Z., Cai, M., Tao, H., He, Z., Lin, X., Lin, H., & Zuo, Y. (2016). Efficiency and productivity measurement of rural township hospitals in China: a bootstrapping data envelopment analysis. BMJ open6(11), e011911.
[8]      Flokou, A., Aletras, V., & Niakas, D. (2017). A window-DEA based efficiency evaluation of the public hospital sector in Greece during the 5-year economic crisis. PloS one12(5), e0177946.
[9]      Ghaem Panah, M., & Alaedin, F. (2002). Establishment of performance-based management in hospital emergency Zyayyan. Tehran: Institute of Health Researchers.
[10]   Jia, T., & Yuan, H. (2017). The application of DEA (data envelopment analysis) window analysis in the assessment of influence on operational efficiencies after the establishment of branched hospitals. BMC health services research17(1), 265.
[11]   Moradi, G., Piroozi, B., Safari, H., Nasab, N. E., Bolbanabad, A. M., & Yari, A. (2017). Assessment of the efficiency of hospitals before and after the implementation of health sector evolution plan in Iran based on Pabon Lasso model. Iranian journal of public health46(3), 389.
[12]   Vaňková, I., & Vrabková, I. (2014). The factors influencing economic efficiency of the hospital bed care in terms of the regional allowance organizations. Review of economic perspectives14(3), 233-248.