Data envelopment analysis: dynamic possibilities in an academic medical center application
Daniel L Bouland1, Ed Fink, Catherine Dehaan
1Department of Medicine, University of California, San Diego, La Jolla, California 92093-0821, USA.
The Journal of Medical Practice Management : MPM
|November 22, 2012
Summary
Data Envelopment Analysis (DEA) is a powerful tool for measuring organizational performance. This study introduces DEA to academic medicine healthcare settings, exploring its potential to enhance value.
Area of Science:
- Healthcare Management
- Operations Research
- Performance Measurement
Background:
- Data Envelopment Analysis (DEA) is a widely adopted quantitative method for assessing the relative efficiency of similar organizations.
- Previous applications of DEA span diverse sectors including universities, hospitals, banking, and manufacturing.
- The application of DEA in academic medicine healthcare settings remains largely unexplored.
Purpose of the Study:
- To introduce and discuss fundamental Data Envelopment Analysis (DEA) models and their extensions.
- To explore the application of DEA within the academic medicine healthcare setting.
- To demonstrate how DEA can advance the value proposition in academic healthcare organizations.
Main Methods:
- Discussion of core Data Envelopment Analysis (DEA) models and their advanced variations.
- Introduction of the academic medicine healthcare context as the arena for DEA implementation.
- Presentation of a case example from an academic healthcare institution.
Main Results:
- Data Envelopment Analysis (DEA) offers a robust framework for performance evaluation in healthcare.
- The study illustrates the practical implementation of DEA in an academic medical setting.
- DEA can identify opportunities for improving the value proposition within academic healthcare.
Conclusions:
- Data Envelopment Analysis (DEA) is a valuable, yet underutilized, tool for academic medicine.
- Implementing DEA can lead to enhanced performance measurement and strategic decision-making in healthcare.
- This approach has the potential to significantly improve the value delivered by academic healthcare organizations.
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