Evaluation of the operational efficiency of GH Zadar department using the DEA method
DOI:
https://doi.org/10.15291/oec.4687Keywords:
efficiency, analysis, hospital, DEA, data envelopment analysis, DMU, decision making unitsAbstract
This paper analyzes the efficiency of hospital departments at Zadar General Hospital using Data Envelopment Analysis (DEA). The focus is on optimizing input and output activities of these departments to enhance their operational efficiency. The methodology involves constructing a linear frontier function based on collected input and output departmental data. The analysis employs the following parameters - inputs: number of hospital beds (P) and number of employed physicians (L), and outputs: number of discharged patients (BOB) and number of performed examinations (BOP). The CCR model is utilized to analyze hospital efficiency, demonstrating how departments could reduce their inputs while maintaining the same output levels, or alternatively, increase their outputs while maintaining current input levels. Data Envelopment Analysis is employed to measure the relative efficiency of departments compared to their peers and to identify specific factors that explain their efficiency. Results indicate significant variability in departmental efficiency, suggesting opportunities for improvement. Key findings emphasize the need for continuous evaluation and enhancement of departmental operational efficiency, coupled with the implementation of targeted training programs and technological investments. Specific strategies are proposed, including consolidation, specialization, and improved resource management to achieve optimal efficiency. In conclusion, this study provides empirically-grounded guidelines for decision-making and resource optimization, contributing to improved hospital operational efficiency. This analysis can serve as a model for similar studies in other healthcare institutions, aimed at enhancing their efficiency and quality of services provided.
References
Almeida, A., Frias, R., Fique, J., 2015. Evaluating Hospital Efficiency Adjusting for Quality Indicators: An Application to Portuguese NHS Hospitals. Health Economics & Outcome Research: Open Access 01. https://doi.org/10.4172/2471-268X.1000103
Alonso, J.M., Clifton, J., Díaz-Fuentes, D., 2015. The impact of New Public Management on efficiency: An analysis of Madrid’s hospitals. Health Policy 119, 333–340. https://doi.org/10.1016/j.healthpol.2014.12.001
Andrews, A., 2020. Investigating Technical Efficiency and its Determinants: The Case of New Zealand District Health Boards. Health Policy and Technology. https://doi.org/10.1016/j.hlpt.2020.04.006
Blatnik, P., Bojnec, S., Tušak, M., 2017. Measuring Efficiency of Secondary Healthcare Providers in Slovenia. Open Medicine 12. https://doi.org/10.1515/med-2017-0031
Charles, V., Kumar, Dr.M., 2012. Data Envelopment Analysis and Its Applications to Management.
Charnes, A., Cooper, W.W., Rhodes, E., 1978. Measuring the efficiency of decision making units. European Journal of Operational Research 2, 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
Cheng, Y., Gao, H.-L., 2015. Matrix-Type Network DEA Model with Its Application Based on Input-Output Tables. Mathematical Problems in Engineering 2015. https://doi.org/10.1155/2015/505941
Clement, J., Valdmanis, V., Bazzoli, G., Zhao, M., Chukmaitov, A., 2008. Is More Better? An Analysis of Hospital Outcomes and Efficiency with a DEA Model of Output Congestion. Health care management science 11, 67–77. https://doi.org/10.1007/s10729-007-9025-8
Cobb, C.W., Douglas, P.H., 1928. A Theory of Production. The American Economic Review 18, 139–165.
Coelli, T.J., Rao, D.S.P., Battese, G.E., 2012. An Introduction to Efficiency and Productivity Analysis. Springer Science & Business Media.
Cook, W., Seiford, L., 2009. Data envelopment analysis (DEA)-Thirty years on. European Journal of Operational Research 192, 1–17. https://doi.org/10.1016/j.ejor.2008.01.032
Cooper, W.W., Seiford, L.M., Tone, K., 2007. Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Springer Science & Business Media.
Cooper, W.W., Seiford, L.M., Zhu, J., 2011. Handbook on Data Envelopment Analysis. Springer Science & Business Media.
Debreu, G., 1951. The Coefficient of Resource Utilization. Econometrica 19, 273–292. https://doi.org/10.2307/1906814
Dyson, R.G., Allen, R., Camanho, A. s, Podinovski, V.V., Sarrico, C., Shale, E.A., 2001. Pitfalls and protocols in DEA. European Journal of Operational Research 132, 245–259. https://doi.org/10.1016/S0377-2217(00)00149-1
Farrell, M.J., 1957. The Measurement of Productive Efficiency. Journal of the Royal Statistical Society. Series A (General) 120, 253–290. https://doi.org/10.2307/2343100
Ferreira, D., Marques, R., 2018. Do quality and access to hospital services impact on their technical efficiency? Omega 86. https://doi.org/10.1016/j.omega.2018.07.010
Gao, Q., Wang, D., 2020. Hospital efficiency and equity in health care delivery: A study based in China. Socio-Economic Planning Sciences 76, 100964. https://doi.org/10.1016/j.seps.2020.100964
Gautam, S., Hicks, L., Johnson, T., Mishra, B., 2013. Measuring the Performance of Critical Access Hospitals in Missouri Using Data Envelopment Analysis. The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association 29, 150–8. https://doi.org/10.1111/j.1748-0361.2012.00439.x
Gholami, R., Higón, D., Emrouznejad, A., 2014. Hospital Performance: Efficiency or Quality? Can we have both with IT? Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2014.12.019
Hamzeh, S.R., Xu, X., 2019. Technology Selection Methods and Applications in Manufacturing: A Review from 1990 to 2017. Computers & Industrial Engineering 138, 106123. https://doi.org/10.1016/j.cie.2019.106123
Jacobs, R., Smith, P.C., Street, A., 2006. Measuring Efficiency in Health Care: Analytic Techniques and Health Policy. Cambridge University Press.
Jung, S., Son, J., Kim, C., Chung, K., 2023. Efficiency Measurement Using Data Envelopment Analysis (DEA) in Public Healthcare: Research Trends from 2017 to 2022. Processes 11, 811. https://doi.org/10.3390/pr11030811
Kao, C., Pang, R.-Z., Liu, S.-T., Bai, X.-J., 2020. Most productive types of hospitals: An empirical analysis. Omega 99, 102310. https://doi.org/10.1016/j.omega.2020.102310
Koopmans, T.C., 1951. Activity Analysis of Production and Allocation: Proceedings of a Conference.
Kumbhakar, S.C., Lovell, C.A.K., 2000. Stochastic Frontier Analysis. Cambridge University Press, Cambridge. https://doi.org/10.1017/CBO9781139174411
Mitropoulos, P., Mitropoulos, I., Sissouras, A., 2012. Managing for efficiency in health care: The case of Greek public hospitals. The European journal of health economics : HEPAC : health economics in prevention and care 14. https://doi.org/10.1007/s10198-012-0437-0
Nicola, A., Gitto, S., Mancuso, P., Valdmanis, V., 2014. Healthcare reform in Italy: An analysis of efficiency based on nonparametric methods. The International journal of health planning and management 29. https://doi.org/10.1002/hpm.2183
Ozcan, Yasar A., 2007. Health Care Benchmarking and Performance Evaluation: An Assessment using Data Envelopment Analysis (DEA). Springer Science & Business Media.
Ozcan, Y.A., 2007. Health Care Benchmarking and Performance Evaluation: An Assessment using Data Envelopment Analysis (DEA), International Series in Operations Research & Management Science. Springer US.
Peykani, P., Pishvaee, M., 2024. Performance Evaluation of Hospitals under Data Uncertainty: An Uncertain Common-Weights Data Envelopment Analysis. Healthcare 12, 611. https://doi.org/10.3390/healthcare12060611
Rabar, D., 2013. ASSESSMENT OF REGIONAL EFFICIENCY IN CROATIA USING DATA ENVELOPMENT ANALYSIS. Croatian Operational Research Review 4, 76–88.
Ramanathan, R., 2003. An Introduction to Data Envelopment Analysis: A Tool for Performance Measurement, First Edition. ed. SAGE Publications Pvt. Ltd, New Delhi Thousand Oaks, Calif.
Ray, S.C., 2004. Data Envelopment Analysis: Theory and Techniques for Economics and Operations Research. Cambridge University Press, Cambridge.
Shephard, R.W., 1953. Cost and Production Functions, Lecture Notes in Economics and Mathematical Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-51578-1
Shewell, P., Migiro, S., 2016. Data envelopment analysis in performance measurement: A critical analysis of the literature 14, 705–713. https://doi.org/10.21511/ppm.14(33).2016.14
Štefko, R., Gavurová, B., Kočišová, K., 2018. Healthcare efficiency assessment using DEA analysis in the Slovak Republic. Health Economics Review 8. https://doi.org/10.1186/s13561-018-0191-9
Yaya, S., Xi, C., Xiaoyang, Z., Meixia, Z., 2020. Evaluating the efficiency of China’s healthcare service: A weighted DEA-game theory in a competitive environment. Journal of Cleaner Production 270, 122431. https://doi.org/10.1016/j.jclepro.2020.122431
