IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-319-65455-3_5.html
   My bibliography  Save this book chapter

Operations Research for Occupancy Modeling at Hospital Wards and Its Integration into Practice

In: Operations Research Applications in Health Care Management

Author

Listed:
  • N. M. van de Vrugt

    (University of Twente
    Jeroen Bosch Hospital
    Leiden University Medical Center)

  • A. J. Schneider

    (University of Twente
    Quality of Care-Institute)

  • M. E. Zonderland

    (University of Twente)

  • D. A. Stanford

    (University of Western Ontario)

  • R. J. Boucherie

    (University of Twente)

Abstract

In this chapter we review OR literature applied to hospital wards. Based on logistical characteristics and patient flow problems, we distinguish the following particular ward types: intensive care, acute medical units, obstetric wards, weekday wards, and general wards. We analyze typical trade-offs of performance measures for each ward type, and the common OR models applied to it. Additionally, we provide four modeling examples, discuss reported experiences with implementation of the research, and provide directions for future research. With this review we aim to guide both researchers and healthcare professionals in identifying which OR technique/model suits best for each specific hospital ward setting, and in actual implementation of the results in healthcare practice.

Suggested Citation

  • N. M. van de Vrugt & A. J. Schneider & M. E. Zonderland & D. A. Stanford & R. J. Boucherie, 2018. "Operations Research for Occupancy Modeling at Hospital Wards and Its Integration into Practice," International Series in Operations Research & Management Science, in: Cengiz Kahraman & Y. Ilker Topcu (ed.), Operations Research Applications in Health Care Management, chapter 0, pages 101-137, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-65455-3_5
    DOI: 10.1007/978-3-319-65455-3_5
    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. Emily Zhu & Beste Kucukyazici & Yasmina Maizi, 2020. "Designing Observation Units for Heart Failure Patients: Capacity and Patient Flow Considerations," Service Science, INFORMS, vol. 12(1), pages 8-25, March.
    2. Yuta Kanai & Hideaki Takagi, 2021. "Markov chain analysis for the neonatal inpatient flow in a hospital," Health Care Management Science, Springer, vol. 24(1), pages 92-116, March.
    3. Stef Baas & Sander Dijkstra & Aleida Braaksma & Plom Rooij & Fieke J. Snijders & Lars Tiemessen & Richard J. Boucherie, 2021. "Real-time forecasting of COVID-19 bed occupancy in wards and Intensive Care Units," Health Care Management Science, Springer, vol. 24(2), pages 402-419, June.

    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:spr:isochp:978-3-319-65455-3_5. 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.