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Emergency Undocking in Robotic Surgery: A Simulation Curriculum
Published on: May 20, 2018
Using simulation to determine the need for ICU beds for surgery patients
Philip Marc Troy1, Lawrence Rosenberg
1The Sir Mortimer B. Davis Jewish General Hospital, Montreal, Quebec, Canada.
Surgery
|October 1, 2009
Summary
Understanding surgical intensive care unit (ICU) bed capacity is crucial. Functional ICU capacity significantly impacts patient wait times, procedure cancellations, and overall ICU utilization, highlighting the need to balance demand and supply.
Area of Science:
- Healthcare Operations Research
- Surgical Patient Management
- Intensive Care Unit (ICU) Resource Allocation
Background:
- Increasing demand for surgical intensive care unit (ICU) beds creates a supply-demand mismatch.
- Understanding the key drivers of ICU performance is essential for effective resource management.
Purpose of the Study:
- To investigate the determinants of surgical intensive care unit (ICU) performance.
- To analyze the impact of ICU bed capacity on patient flow and surgical scheduling.
Main Methods:
- A Monte Carlo simulation using a discrete event model was employed.
- The model captured patient arrivals, bed occupancy, and patient stay durations within the ICU.
Main Results:
- Functional ICU capacity was the primary determinant of wait times, procedure volume, and cancellations for surgeries requiring ICU admission.
- Actual and functional ICU capacity together explained ICU utilization and patient diversions.
Conclusions:
- Considering both actual and functional ICU capacity is vital for accurate surgical ICU bed requirement analysis.
- Simulation aids in evaluating surgical management alternatives and identifying potential drawbacks or benefits.
