Journal ArticleDOI
Hospital efficiency measurement and evaluation. Empirical test of a new technique.
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TLDR
Data Envelopment Analysis is suggested as a means to help identify and measure hospital inefficiency as a basis for directing management efforts toward increasing efficiency and reducing health care costs.Abstract:
A new technique for identifying inefficient hospitals, Data Envelopment Analysis (DEA), is field tested by application to a group of teaching hospitals. DEA is found to provide meaningful insights into the location and nature of hospital inefficiencies as judged by the opinion of a panel of hospital experts. DEA provides insights about hospital efficiency not available from the widely used efficiency evaluation techniques of ratio analysis and econometric-regression analysis. DEA is, therefore, suggested as a means to help identify and measure hospital inefficiency as a basis for directing management efforts toward increasing efficiency and reducing health care costs.read more
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Journal ArticleDOI
Data envelopment analysis: The evolution of the state of the art (1978–1995)
TL;DR: The purpose of this paper is to briefly trace the evolution of DEA from the initial publication by Charnes et al. (1978b) to the current state of the art (SOA).
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Bank branch operating efficiency: Evaluation with Data Envelopment Analysis
TL;DR: Data Envelopment Analysis (DEA) as discussed by the authors is a mathematical programming technique that provides useful insights in locating inefficient branches by explicitly considering the mix of services provided and the resources used to provide these bank services.
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A survey of DEA applications
TL;DR: This study is the first literature survey that focuses on DEA applications, covering DEA papers published in journals indexed by the Web of Science database from 1978 through August 2010, and suggests that the two-step contextual analysis and network DEA are the recent trends across applications.
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Non-parametric and parametric applications measuring efficiency in health care.
TL;DR: Results appear to confirm earlier findings that public provision demonstrates less variability than private, and points to the future in terms of possible directions for research in efficiency measurement in health care and health.
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Efficiency measurement of health care: a review of non-parametric methods and applications.
TL;DR: Applications to hospitals and to the wider context of general health care are reviewed and the empirical evidence is that public rather than private provision is more efficient.