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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
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    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.

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