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The ICU will see you now: efficient–equitable admission control policies for a surgical ICU with batch arrivals

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  • Muer Yang
  • Michael J. Fry
  • Corey Scurlock

Abstract

Intensive Care Units (ICUs) are frequently the bottleneck in a hospital system, limiting patient flow and negatively impacting profits. This article examines admission control policies for a surgical ICU where patients arrive in batches. This problem is formulated as a Markov Decision Process (MDP) with an objective function that allows for varying degrees of emphasis on efficiency versus equity. Equity concerns are driven by a combination of surgery type and operating surgeon and are captured in a robust manner in the proposed models. A simple and efficient heuristic solution method related to our MDP formulation is proposed that provides a performance guarantee. The proposed admissions policy is applied to a real setting motivated by the cardiothoracic surgical ICU at Mount Sinai Medical Center in New York; the results demonstrate that the ICU can achieve large equity gains with no efficiency losses.

Suggested Citation

  • Muer Yang & Michael J. Fry & Corey Scurlock, 2015. "The ICU will see you now: efficient–equitable admission control policies for a surgical ICU with batch arrivals," IISE Transactions, Taylor & Francis Journals, vol. 47(6), pages 586-599, June.
  • Handle: RePEc:taf:uiiexx:v:47:y:2015:i:6:p:586-599
    DOI: 10.1080/0740817X.2014.955151
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    Cited by:

    1. Na Geng & Xiaolan Xie, 2022. "Managing Advance Admission Requests for Obstetric Care," INFORMS Journal on Computing, INFORMS, vol. 34(2), pages 1224-1239, March.
    2. Amirhossein Meisami & Jivan Deglise-Hawkinson & Mark E. Cowen & Mark P. Oyen, 2019. "Data-driven optimization methodology for admission control in critical care units," Health Care Management Science, Springer, vol. 22(2), pages 318-335, June.
    3. Jie Bai & Andreas Fügener & Jochen Gönsch & Jens O. Brunner & Manfred Blobner, 2021. "Managing admission and discharge processes in intensive care units," Health Care Management Science, Springer, vol. 24(4), pages 666-685, December.

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