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On the risk of premature transfer from coronary care units

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  • Wharton, Frank

Abstract

When a coronary care unit becomes full, an existing patient will be transferred out of intensive care and into a general medical or surgical ward in order to make room for the next arrival. The patient transferred may have suffered a heart attack and still be at risk whilst the next patient admitted may subsequently be diagnosed to have nothing more serious than indigestion. Queueing theory is used to develop a model which predicts the proportion of patients from each diagnostic or risk category that would be prematurely transferred as a function of the size of the unit, number of risk categories, mean arrival rates, and length of stay. A case study is used to demonstrate how the model parameters have been estimated and the operating characteristics determined for a particular unit.

Suggested Citation

  • Wharton, Frank, 1996. "On the risk of premature transfer from coronary care units," Omega, Elsevier, vol. 24(4), pages 413-423, August.
    • Handle: RePEc:eee:jomega:v:24:y:1996:i:4:p:413-423
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    References listed on IDEAS

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    1. Harris, R. A., 1986. "Hospital bed requirements planning," European Journal of Operational Research, Elsevier, vol. 25(1), pages 121-126, April.
    2. Koenigsberg, E, 1991. "Is queueing theory dead?," Omega, Elsevier, vol. 19(2-3), pages 69-78.
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    Cited by:

    1. Jie Bai & Andreas Fügener & Jan Schoenfelder & Jens O. Brunner, 2018. "Operations research in intensive care unit management: a literature review," Health Care Management Science, Springer, vol. 21(1), pages 1-24, March.
    2. Josephine Varney & Nigel Bean & Mark Mackay, 2019. "The self-regulating nature of occupancy in ICUs: stochastic homoeostasis," Health Care Management Science, Springer, vol. 22(4), pages 615-634, December.

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