IDEAS home Printed from https://ideas.repec.org/a/taf/uiiexx/v47y2015i6p586-599.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0740817X.2014.955151
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0740817X.2014.955151?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. Na Geng & Xiaolan Xie, 2022. "Managing Advance Admission Requests for Obstetric Care," INFORMS Journal on Computing, INFORMS, vol. 34(2), pages 1224-1239, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:uiiexx:v:47:y:2015:i:6:p:586-599. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/uiie .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.