title: Data envelopment analysis: dynamic possibilities in an academic medical center application.
abstract: In a fairly short period of time, data envelopment analysis (DEA) has grown into a powerful quantitative, analytical tool for measuring the relative performance of similar organizations. DEA has been successfully applied to traditional service industries such as universities and hospitals as well as to trades as diverse as banking and manufacturing. To the best of our knowledge, however, DEA has not been applied in the academic medicine healthcare setting. This paper discusses fundamental DEA models and some of their extensions, the arena into which we introduced DEA, and an example from our own institution exploring how DEA can advance the value proposition within an academic healthcare organization.
authors.affiliation: Department of Medicine, University of California, San Diego, La Jolla, California 92093-0821, USA.
authors.forename: Daniel L
authors.initials: DL
authors.lastname: Bouland
authors.forename: Ed
authors.initials: E
authors.lastname: Fink
authors.forename: Catherine
authors.initials: C
authors.lastname: Dehaan
authors.forename: John
authors.initials: J
authors.lastname: Fontanesi
mesh_terms: D000046:Academic Medical Centers / Q000458:organization & administration*; D019985:Benchmarking / Q000706:statistics & numerical data*; D002140:California; D003627:Data Interpretation, Statistical; D003659:Decision Making, Organizational; D003661:Decision Support Techniques; D004469:Economics, Hospital; D017598:Efficiency, Organizational / Q000706:statistics & numerical data*; D006801:Humans; D017146:Models, Organizational; D015895:Relative Value Scales