Recovery bed planning in cardiovascular surgery: A simulation case study

Yariv N. Marmor, Thomas R. Rohleder, David J. Cook, Todd R. Huschka, Jeffrey E. Thompson

Research output: Contribution to journalArticlepeer-review

28 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)314-327
Number of pages14
JournalHealth Care Management Science
Issue number4
StatePublished - Dec 2013


  • Case study
  • Hospital bed planning
  • Intensive care unit
  • Simulation

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Health Professions(all)


Dive into the research topics of 'Recovery bed planning in cardiovascular surgery: A simulation case study'. Together they form a unique fingerprint.

Cite this