Journal article
An extended DEA model for hospital performance evaluation and improvement
Health services and outcomes research methodology, Vol.9(1), pp.39-53
11/08/2008
DOI: 10.1007/s10742-008-0042-y
Abstract
This paper presents an extended data envelopment analysis (DEA) model which includes a new benchmark filtering measure to identify the decision making units (DMUs) which consistently have the best performance. Additionally, window analysis is utilized over multiple time periods in order to consider the time dependent nature of hospital data. The proposed approach, termed Panel-based Benchmarking, is applied to the data from previous research to demonstrate its effectiveness and benefits. Next, the proposed approach is applied to a real-world data set spanning a five year period supplied by the Iowa Hospital Association. Finally, the Malmquist method is used to compliment the proposed approach to verify temporal productivity performance of DMUs. The results indicate that the proposed model can generate benchmarks which consistently perform well over multiple time periods.
Details
- Title: Subtitle
- An extended DEA model for hospital performance evaluation and improvement
- Creators
- Shao-Jen Weng - Arizona State UniversityTeresa Wu - Arizona State UniversityJennifer Blackhurst - Arizona State UniversityGerald Mackulak - Arizona State University
- Resource Type
- Journal article
- Publication Details
- Health services and outcomes research methodology, Vol.9(1), pp.39-53
- Publisher
- Springer US
- DOI
- 10.1007/s10742-008-0042-y
- ISSN
- 1387-3741
- eISSN
- 1572-9400
- Language
- English
- Date published
- 11/08/2008
- Academic Unit
- Business Analytics; Bus Admin Graduate Programs
- Record Identifier
- 9984201529202771
Metrics
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