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) ???Avaliação de eficiência produtiva de hospitais do SUS de Santa Catarina, Brasil???, Caderno de Saúde Pública, 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., Köse, T., & Uçkun, 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. Gonçalves, A.C., Noronha, C.P., Lins, M.E. and Almeida, R.M.V.R. (2007) ???Análise Envoltória de Dados na avaliação de hospitais públicos nas capitais brasileiras???, Revista de Saúde Pública, 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 Análise Envoltória de Dados (DEA) para avaliação de hospitais universitários brasileiros???, Ciências & Saúde Coletiva, Vol. 12, No. 4, pp.985???998. 10. Marinho, A. (2001a) ???Estudo de Eficiência em alguns hospitais públicos e privados com a geração de rankings???, IPEA, Rio de Janeiro. 11. Marinho, A. (2001b) ???Hospitais Universitários: Utilização e análise de eficiência???, IPEA, Rio de Janeiro. 12. Takundwa, R., Jowett, S., McLeod, H., & Peñaloza-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