The Efficiency of Clinical Departments in Medical Faculty Hospitals: A Case Study Based on Data Envelopment Analysis
|Ozel Sebetci1 , Ibrahim Uysal2|
1 Dept. of Computer Technologies, Adnan Menderes University, Aydın, Turkey.
2 Dept. of Educational Measurement and Evaluation, Hacettepe University, Ankara, Turkey .
|Correspondence should be addressed to: email@example.com.|
Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-7 , Page no. 1-8, Jul-2017
Online published on Jul 30, 2017
Copyright © Ozel Sebetci, Ibrahim Uysal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
|View this paper at Google Scholar | DPI Digital Library|
|XML View||PDF Download|
IEEE Style Citation: Ozel Sebetci, Ibrahim Uysal, “The Efficiency of Clinical Departments in Medical Faculty Hospitals: A Case Study Based on Data Envelopment Analysis”, International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.1-8, 2017.
MLA Style Citation: Ozel Sebetci, Ibrahim Uysal "The Efficiency of Clinical Departments in Medical Faculty Hospitals: A Case Study Based on Data Envelopment Analysis." International Journal of Computer Sciences and Engineering 5.7 (2017): 1-8.
APA Style Citation: Ozel Sebetci, Ibrahim Uysal, (2017). The Efficiency of Clinical Departments in Medical Faculty Hospitals: A Case Study Based on Data Envelopment Analysis. International Journal of Computer Sciences and Engineering, 5(7), 1-8.
|246||159 downloads||105 downloads|
|The debts of university hospitals have been increasing recently in Turkey. Thus, they should use their financial resources effectively. The aim of this study is to analyze the technical activities of departments at Adnan Menderes University, Training and Research Hospital, Aydın, Turkey. Data were obtained from the statistical records in 2014. Activities were evaluated with Data Envelopment Analysis (DEA), which is a nonparametric method that allows the use of more than one input and output at the same time. The study comprised three sections. In the first section, expenditure, package deficiencies, and Social Security Institution (SSI) deductions were defined as inputs and income was defined as the output. The Banker, Chames, and Cooper (BCC) model, which aims to minimize inputs, was used in this section. "Orthopedics" was found to be the most effective department. In the second section, faculty members, research assistants, room numbers of policlinics, and bed numbers in services were defined as the inputs; the total number of policlinic patients, total number of patients allocated bed, and income were defined as outputs. In this section, the outcome-focused Charnes, Cooper, and Rhodes (CCR) model, which aims to maximize outcomes, was used. "Emergency" and "Child and Adolescent Psychology" were found to be the most efficient departments. In the third section, faculty members, research assistants, room numbers of policlinics, and bed numbers in services were defined as the inputs; the total number of policlinic patients, total number of patients allocated beds, total operation numbers, and income were defined as outputs. In this section, the CCR model was again used. "Thoracic Surgery" was defined as the most efficient department. At the end of the analyses, reference rates were defined for the inefficient departments.|
|Key-Words / Index Term :|
|Turkey, Adnan Menderes University, Clinical departments, Health information systems, Data envelopment analysis, Efficiency|
 M. S. Gök, B. Sezen, “Analyzing the Ambiguous Relationship between Efficiency, Quality and Patient Satisfaction in Healthcare Services: The Case of Public Hospitals in Turkey”, Health Policy, Vol.111, pp.290-300, 2013.
 Ministry of Health, “Health Transformation Program”, Ministry of Health of the Turkish Republic, Ankara, Turkey, December 2003.
 M. Tatar, “Management of Diabetes and Diabetes Policies in Turkey”, Globalization and Health, Vol.9, Issue.16, pp.1-7, 2013.
 R. Atun et al., “Universal Health Coverage in Turkey: Enhancement of Equity”, The Lancet, Vol.382, Issue.9886, pp.65-99, July, 2013.
 K. Avcı, S. Çınaroğlu, “Clustering of the Ministry of Health Hospitals in Terms of Organizational and Financial Performance Indicators”, Hacettepe University Journal of Economics and Administrative Sciences, Vol.33, Issue.2, pp.1-23, 2015.
 S. Yükçü, İ. Yüksel, “Theory of Constraints Approach in Hospitals and A Case Study”, Atatürk University Journal of Economics and Administrative Sciences, Vol.29, Issue.3, pp.557-578, 2015.
 M. Mohammadi et al., “Assessment of Technical Efficiency of University Hospitals in Kermanshah Model Using Data Envelopment Analysis (DEA)”, Technical Journal of Engineering and Applied Sciences, Vol.5, Issue.1, pp.80-83, 2015.
 E. Sadqhiani, “Problems of Health and the Hospitals in Developing Countries”, Journal of Management, Vol.1, pp.59-78, 1997.
 H. Sherman, “Hospital Efficiency Measurement and Evaluation: Empirical Test of a New Technique”, Medical Care, Vol.22, Issue.10, pp.922-938, October 1984.
 S. Andes, L. M. Metzger, J. Kralewski, D. Gans, “Measuring Efficiency of Physician Practices Using Data Envelopment Analysis”, Managed Care, Vol.11, Issue.11, pp.48-56, November 2002.
 V. Capkun, M. Messner, C. Rissbacher, "Service Specialization and Operational Performance in Hospitals", International Journal of Operations & Production Management, Vol.32, Issue.4, pp.468-495, 2012.
 L. Poole, J. A. Davis, N. W. Gunby, “In a Niche of Time: Do Specialty Hospitals Outperform General Services Hospitals?”, The Health Care Manager, Vol.32, Issue.1, pp.13-22, March 2013.
 Y. Varabyova, J. Schreyögg, “International Comparisons of the Technical Efficiency of the Hospital Sector: Panel Data Analysis of OECD Countries Using Parametric and Non-Parametric Approaches”, Health Policy, Vol.112, pp.70-79, September 2013.
 V. Sikka, R. D. Luke, Y. Ozcan, “The Efficiency of Hospital-Based Clusters: Evaluating System Performance Using Data Envelopment Analysis”, Health Care Management Review, Vol.34, Issue.3, pp.251-261, 2009.
 İ. Şahin, “Comparative Technical Efficiency Analysis of the Ministry of Health General Hospitals and the Former SSK General Hospitals Transferred to the MoH”, Hacettepe Journal of Health Administration, Vol.11, Issue.1, pp.1-48, 2008.
 W. D. Cook, J. Zhu, “Modeling Performance Measurement: Applications and Implementation Issues in DEA”, Springer, New York, 2005.
 M. Luptacik, “Mathematical Optimization and Economic Analysis”, Springer, New York, 2010.
 W. Quanling, “Data Envelopment Analysis”, Chinese Science Bulletin, Vol.46, Issue.16, pp.1321-1332, 2001.
 W. W. Cooper, L. M. Seiford, K. Tone, “Introduction to Data Envelopment Analysis and Its Uses”, Springer, New York, 2006.
 Steering Committee for the Review of Commonwealth/State Service Provision, “Data Envelopment Analysis: A Technique for Measuring the Efficiency of Government Service Delivery”, Melbourne, Australia, 1997.
 T. Joro, P. J. Korhonen, “Extension of Data Envelopment Analysis with Preference Information”, Springer, New York, 2015.
 R. J. Frankel, E. N. Wallen, H. H. Hyun, “How to Design and Evaluate Research in Education”, McGraw-Hill, New York, 2011.
 S. Erpolat, “Veri Zarflama Analizi”, Evrim, İstanbul, 2011.
 M. Çakmak, M. K. Öktem, U. Ö. Gönülşen, “The Efficiency Problem of Turkish Public Hospitals: The Measurement of Technical Efficiency of Maternity Hospitals by Data Envelopment Analysis”, Hacettepe Journal of Health Administration, Vol.12, Issue.1, pp.1-36, 2009.
 M. Erdoğan, B. Yıldız, “Measuring the Performance through Financial Ratios at Healthcare Establishments: A Practice in Use at Hospitals”, Kafkas University Economics and Administrative Sciences Faculty Journal, Vol.6, Issue.9, pp.129-148, 2015.
 N. Girginer, T. Köse, N. Uçkun, “Efficiency Analysis of Surgical Services by Combined Use of Data Envelopment Analysis and Gray Relational Analysis”, Journal of Medical Systems, Vol.39, Issue.5, pp.1-9, May 2015.
 M. J. Rezaee, A. Karimdadi, “Do Geographical Locations Affect in Hospitals Performance? A Multi-group Data Envelopment Analysis”, Journal of Medical Systems, Vol.39, Issue.9, pp.1-11, 2015.