ArticleHealth care management science2022
Homogeneity and Best Practice Analyses in Hospital Performance Management: An Analytical Framework.
Article in Health care management science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Approach in inputs & outputs selection of Data Envelopment Analysis (DEA) efficiency measurement in hospitals: A systematic review.PloS one · 2024Pooled it
- Comparing the impact of 360-degree evaluation and conventional methods on the performance evaluation of Iranian nurses.Journal of education and health promotion · 2026Article
- Hospital efficiency assessment: a systematic review of DEA and hybrid DEA-machine learning approaches.Frontiers in medical technology · 2026Review
- Evaluating the operational efficiency of the compact urban medical group in Qiqihar based on the three-stage DEA and Malmquist index model.Frontiers in public health · 2025Article
- The efficiency evaluation of traditional Chinese medicine hospitals by data envelopment analysis in Zhengzhou, China.Frontiers in public health · 2024Article
- Evaluating the efficiency of primary health care institutions in China: an improved three-stage data envelopment analysis approach.BMC health services research · 2023Article
- Healthcare Service Efficiency: An Empirical Study on Healthcare Capacity in Various Counties and Cities in Taiwan.Healthcare (Basel, Switzerland) · 2023Article
- Assessing the impact of COVID-19 on the performance of organ transplant services using data envelopment analysis.Health care management science · 2023Article
- A mixed-integer slacks-based measure data envelopment analysis for efficiency measuring of German university hospitals.Health care management science · 2023Article
Corrections and comments
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Performance modeling of hospitals using data envelopment analysis (DEA) has received steadily increasing attention in the literature. As part of the traditional DEA framework, hospitals are generally assumed to be functionally similar and therefore homogenous. Accordingly, any identified inefficiency is supposedly due to the inefficient use of inputs to produce outputs. However, the disparities in DEA efficiency scores may be a result of the inherent heterogeneity of hospitals. Additionally, traditional DEA models lack predictive capabilities despite having been frequently used as a benchmarking tool in the literature. To address these concerns, this study proposes a framework for analyzing hospital performance by combining two complementary modeling approaches. Specifically, we employ a self-organizing map artificial neural network (SOM-ANN) to conduct a cluster analysis and a multilayer perceptron ANN (MLP-ANN) to perform a heterogeneity analysis and a best practice analysis. The applicability of the integrated framework is empirically shown by an implementation to a large dataset containing more than 1,100 hospitals in Germany. The framework enables a decision-maker not only to predict the best performance but also to explore whether the differences in relative efficiency scores are ascribable to the heterogeneity of hospitals.
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