IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-1-4614-9512-3_15.html
   My bibliography  Save this book chapter

Queueing Analysis in Health Care

In: Patient Flow

Author

Listed:
  • Linda Green

    (Columbia University)

Abstract

Many organizations, such as banks, airlines, telecommunications companies, and police departments, routinely use queueing models to help determine capacity levels needed to respond to experienced demands in a timely fashion. Though queueing analysis has been used in hospitals and other health care settings, its use in this sector is not widespread. Yet given the pervasiveness of delays in health care and the fact that many health care facilities are trying to meet increasing demands with tightly constrained resources, queueing models can be very useful in developing more effective policies for bed allocation and staffing, and in identifying other opportunities for improving service. Queueing analysis is also a key tool in estimating capacity requirements for possible future scenarios, including demand surges due to new diseases or acts of terrorism. This chapter describes basic queueing models as well as some simple modifications and extensions that are particularly useful in the health care setting, and gives examples of their use. The critical issue of data requirements is also discussed, as well as model choice, model-building, and the interpretation and use of results.

Suggested Citation

  • Linda Green, 2013. "Queueing Analysis in Health Care," International Series in Operations Research & Management Science, in: Randolph Hall (ed.), Patient Flow, edition 2, chapter 0, pages 361-384, Springer.
    • Handle: RePEc:spr:isochp:978-1-4614-9512-3_15
    DOI: 10.1007/978-1-4614-9512-3_15
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Kakad, Meetali & Utley, Martin & Rugkåsa, Jorun & Dahl, Fredrik A., 2019. "Erlang could have told you so—A case study of health policy without maths," Health Policy, Elsevier, vol. 123(12), pages 1282-1287.

    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:spr:isochp:978-1-4614-9512-3_15. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.