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An Alternative Method for Hospital Partition Determination Using Hierarchical Cluster Analysis

Author

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  • T. D. Klastorin

    (University of Washington, Seattle, Washington)

Abstract

The classification of short-term hospitals into homogeneous groups has become an integral part of many systems designed to abate continuing cost inflation in the hospital industry. This paper describes one approach which was developed to identify homogeneous groups of short-term hospitals. The approach, based on hierarchical cluster analysis, defines an objective measure (called expected distinctiveness) to evaluate any group of hospitals identified by a hierarchical grouping structure or dendrogram. Using this measure, an efficient algorithm is developed which finds the hospital partition from the identified groups which maximizes total expected distinctiveness. A numerical example illustrates the application and extensions.

Suggested Citation

  • T. D. Klastorin, 1982. "An Alternative Method for Hospital Partition Determination Using Hierarchical Cluster Analysis," Operations Research, INFORMS, vol. 30(6), pages 1134-1147, December.
    • Handle: RePEc:inm:oropre:v:30:y:1982:i:6:p:1134-1147
    DOI: 10.1287/opre.30.6.1134
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    Cited by:

    1. Govind, Rahul & Chatterjee, Rabikar & Mittal, Vikas, 2008. "Timely access to health care: Customer-focused resource allocation in a hospital network," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 294-300.

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