Operational Modeling



Operational Modeling is a systems-engineering method of studying how hospitals and healthcare systems work and how they can be improved in terms of patient-flow, safety, quality, effectiveness, or efficiency. Computer simulations are often built to test different scenarios to predict how current policies and decisions impact the effectiveness and efficiency of the healthcare system. Operational modeling combines data and statistics, concept models, and iterative predictive computing.

Current projects in this portfolio include:

  1. Operating Room Planning – 1) Determining the step down bed needs at TGH and potential changes to the surgery schedule that would result in smoother bed utilization; and 2) Operating room planning at TGH using optimal scheduling for elective surgeries and queuing models for urgent surgeries.
  2. ED modeling – 1) A descriptive study of mental health patients visiting the ED at TGH and TWH looking at their impact on the ED and factors that impact their LOS and revisit rate; and 2) A discrete event simulation model of the ED to study the impact of what-if scenarios and potential interventions in the ED for patients with chronic diseases and mental health conditions.

OpenLab project members:
Shoshana Han-Goldberg (project lead), Dr. Howard Abrams, Eva Appel, Deyvison Medeiros


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