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Hospital Admission Systems: Their Evaluation and Management

Author

Listed:
  • John H. Milsum

    (McGill University)

  • Efraim Turban

    (Florida International University, Miami)

  • Ilan Vertinsky

    (University of British Columbia and Tulane University)

Abstract

The paper presents a holistic analysis of hospital management admission systems. It outlines control strategies which will facilitate a system's effectiveness for various organizational attributes. In particular, attention is focused on bed occupancy levels and on the stability of flows into the hospital as interacting control variables. The paper surveys the major available mathematical models and evaluates their use vs. the use of simulation. It emphasizes the potential use of an iterative assignment model which explicitly considers the alternative profiles for preferences for service attributes held by the various participants in the admission system. To reconcile conflicting objectives of these participants the DELPHI and the Multi-attribute Reduction methods are proposed.

Suggested Citation

  • John H. Milsum & Efraim Turban & Ilan Vertinsky, 1973. "Hospital Admission Systems: Their Evaluation and Management," Management Science, INFORMS, vol. 19(6), pages 646-666, February.
    • Handle: RePEc:inm:ormnsc:v:19:y:1973:i:6:p:646-666
    DOI: 10.1287/mnsc.19.6.646
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    Cited by:

    1. Sebastian Hof & Andreas Fügener & Jan Schoenfelder & Jens O. Brunner, 2017. "Case mix planning in hospitals: a review and future agenda," Health Care Management Science, Springer, vol. 20(2), pages 207-220, June.
    2. Lalit Garg & Sally McClean & Brian Meenan & Peter Millard, 2010. "A non-homogeneous discrete time Markov model for admission scheduling and resource planning in a cost or capacity constrained healthcare system," Health Care Management Science, Springer, vol. 13(2), pages 155-169, June.
    3. Vernon Ning Hsu & Renato de Matta & Chung‐Yee Lee, 2003. "Scheduling patients in an ambulatory surgical center," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(3), pages 218-238, April.
    4. David Oakley & Bhakti Stephan Onggo & Dave Worthington, 2020. "Symbiotic simulation for the operational management of inpatient beds: model development and validation using Δ-method," Health Care Management Science, Springer, vol. 23(1), pages 153-169, March.

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