Health Care : Current Reviews

Analyzing Efficiency of the sections of a hospital using the data envelopment analysis

5^th International Congress on Healthcare & Hospital Management

December 03-04, 2018 | Rome, Italy

Aydin Teymourifar and Menderes Tarcan

Eskisehir Technical University, Turkey
Osmangazi University, Turkey

Scientific Tracks Abstracts: Health Care Current Reviews

Abstract:

Efficiency measurement of health organizations using the Data Envelopment Analysis (DEA) has gained importance with increasing spending on health services. The aim of this study is to analyze the efficiency of 10 surgical services of a hospital and also to offer suggestions for increasing their productivity. At first, as seen in Figure 1, decision-making units, model, input and output of some previous studies are summarized. Then, the input-oriented model of the DEA method under Variable Returns to Scale (VRS) is used to measure the efficiency of sections. The model has 2 inputs, i.e. the number of personnel and beds, and also 2 outputs, i.e. capacity utilization rate, the total number of operations. Data Envelopment Analysis Toolbox of MATLAB and Excel are used to analyze the data. After recognizing the efficient and inefficient sections, the efficient ones are ranked with Andersen and Petersen model, Tone???s SBM model and cross efficiency evaluation, whose advantages and drawbacks for the ranking are discussed. The results prove that it is possible to increase the efficiency of the sections with efficient using the current resources and without increasing costs. Recent Publications 1. Cesconetto, A., Lapa, J.S. and Calvo, M.C.M. (2008) ???Avalia��o de efici�ncia produtiva de hospitais do SUS de Santa Catarina, Brasil???, Caderno de Sa�de P�blica, Vol. 24, No. 10, pp.2407???2417. 2. Cylus, J., Papanicolas, I., & Smith, P. C. (2017). Using data envelopment analysis to address the challenges of comparing health system efficiency. Global Policy, 8, 60-68. 3. De Souza, A. A., Moreira, D. R., Avelar, E. A., de Faria Marques, A. M., & Lara, A. L. (2014). Data envelopment analysis of efficiency in hospital organisations. International Journal of Business Innovation and Research, 8(3), 316-332. 4. Dong, S., Zuo, Y., Guo, S., Li, M., Liu, X., & Li, H. (2017). Data Envelopment Analysis for Relative Efficiency Measurement of Chinese Hospitals: A Systematic Review. Research in Health Science, 2(2), 79. 5. Girginer, N., K�se, T., & U�kun, N. (2015). Efficiency analysis of surgical services by combined use of data envelopment analysis and gray relational analysis. Journal of medical systems, 39(5), 56. 6. Gon�alves, A.C., Noronha, C.P., Lins, M.E. and Almeida, R.M.V.R. (2007) ???An�lise Envolt�ria de Dados na avalia��o de hospitais p�blicos nas capitais brasileiras???, Revista de Sa�de P�blica, Vol. 41, No. 3, pp.427???35. 7. Guerra, M., Souza, A.A. and Moreira, D.R. (2012) ???Performance analysis: a study using data envelopment analysis in 26 Brazilian hospitals???, Journal of Health Care Finance, Vol. 38, No. 4, pp.19???35. 8. Khushalani, J., & Ozcan, Y. A. (2017). Are hospitals producing quality care efficiently? An analysis using Dynamic Network Data Envelopment Analysis (DEA). Socio-Economic Planning Sciences, 60, 15-23. 9. Lins, M.E., Lobo, M.S.C., Silva, A.C.M., Fiszman, R. and Ribeiro, V.J.P., (2007) ???O uso da An�lise Envolt�ria de Dados (DEA) para avalia��o de hospitais universit�rios brasileiros???, Ci�ncias & Sa�de Coletiva, Vol. 12, No. 4, pp.985???998. 10. Marinho, A. (2001a) ???Estudo de Efici�ncia em alguns hospitais p�blicos e privados com a gera��o de rankings???, IPEA, Rio de Janeiro. 11. Marinho, A. (2001b) ???Hospitais Universit�rios: Utiliza��o e an�lise de efici�ncia???, IPEA, Rio de Janeiro. 12. Takundwa, R., Jowett, S., McLeod, H., & Pe�aloza-Ramos, M. C. (2017). The Effects of Environmental Factors on the Efficiency of Clinical Commissioning Groups in England: A Data Envelopment Analysis. Journal of medical systems, 41(6), 97.

Biography :

Aydin Teymourifar completed his BSc in Statistics at Tabriz University, Iran (2005–2009) and achieved MSc in Industrial Engineering from Anadolu University, Turkey (2011–2014). He is a Ph.D. candidate in Industrial Engineering at the Eskisehir Technical University. His research interests are production scheduling, simulation, and healthcare management.

E-mail: aydinteymurifar@gmail.com