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Queueing Models in Healthcare

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  • S. Creemers
  • M. Lambrecht
  • N. Vandaele

Abstract

The healthcare sector is a fast growing segment of GNP in almost every economy. No wonder that we witnessed a tremendous increase in research both medical research to improve medical practice but also research to improve management practices. Patient flow management is an example. Patient flow represents the ability of the healthcare system to serve patients quickly, reliably and efficiently as they move through stages of care. Unfortunately patients still experience delays and waiting lists. A queueing model offers an excellent tool to analyze and to improve the performance of healthcare systems. The purpose of this contribution is to discuss differences with the modeling of manufacturing systems and to focus on modeling issues in patient flow. Next, we discuss two specific topics: first, the impact of interrupts and absences on waiting lists and delays, and second, the modeling of batches in healthcare operations.

Suggested Citation

  • S. Creemers & M. Lambrecht & N. Vandaele, 2007. "Queueing Models in Healthcare," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 471-498.
    • Handle: RePEc:ete:revbec:20070308
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    References listed on IDEAS

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    1. Marc R. Lambrecht & Philip L. Ivens & Nico J. Vandaele, 1998. "ACLIPS: A Capacity and Lead Time Integrated Procedure for Scheduling," Management Science, INFORMS, vol. 44(11-Part-1), pages 1548-1561, November.
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    Cited by:

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    2. Amir Elalouf & Guy Wachtel, 2022. "Queueing Problems in Emergency Departments: A Review of Practical Approaches and Research Methodologies," SN Operations Research Forum, Springer, vol. 3(1), pages 1-46, March.
    3. Mengyu Li & Peter Vanberkel & Alix J. E. Carter, 2019. "A review on ambulance offload delay literature," Health Care Management Science, Springer, vol. 22(4), pages 658-675, December.

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