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Recovery bed planning in cardiovascular surgery: a simulation case study

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  • Yariv Marmor
  • Thomas Rohleder
  • David Cook
  • Todd Huschka
  • Jeffrey Thompson

Abstract

Recovery beds for cardiovascular surgical patients in the intensive care unit (ICU) and progressive care unit (PCU) are costly hospital resources that require effective management. This case study reports on the development and use of a discrete-event simulation model used to predict minimum bed needs to achieve the high patient service level demanded at Mayo Clinic. In addition to bed predictions that incorporate surgery growth and new recovery protocols, the model was used to explore the effects of smoothing surgery schedules and transferring long-stay patients from the ICU. The model projected bed needs that were 30 % lower than the traditional bed-planning approach and the options explored by the practice could substantially reduce the number of beds required. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • Yariv Marmor & Thomas Rohleder & David Cook & Todd Huschka & Jeffrey Thompson, 2013. "Recovery bed planning in cardiovascular surgery: a simulation case study," Health Care Management Science, Springer, vol. 16(4), pages 314-327, December.
    • Handle: RePEc:kap:hcarem:v:16:y:2013:i:4:p:314-327
    DOI: 10.1007/s10729-013-9231-5
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    References listed on IDEAS

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    Cited by:

    1. Jie Bai & Andreas Fügener & Jan Schoenfelder & Jens O. Brunner, 2018. "Operations research in intensive care unit management: a literature review," Health Care Management Science, Springer, vol. 21(1), pages 1-24, March.
    2. Vahab Vahdat & Jacqueline Griffin & James E. Stahl, 2018. "Decreasing patient length of stay via new flexible exam room allocation policies in ambulatory care clinics," Health Care Management Science, Springer, vol. 21(4), pages 492-516, December.
    3. Samuel Davis & Nasser Fard, 2020. "Theoretical bounds and approximation of the probability mass function of future hospital bed demand," Health Care Management Science, Springer, vol. 23(1), pages 20-33, March.
    4. Fermín Mallor & Cristina Azcárate & Julio Barado, 2015. "Optimal control of ICU patient discharge: from theory to implementation," Health Care Management Science, Springer, vol. 18(3), pages 234-250, September.
    5. Azcarate, Cristina & Esparza, Laida & Mallor, Fermin, 2020. "The problem of the last bed: Contextualization and a new simulation framework for analyzing physician decisions," Omega, Elsevier, vol. 96(C).

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