Simulation

Single-entry waitlist surgical scheduling
Scheduling surgeries in a central waitlist across multiple collaborating hospitals and surgeons to maximize total surgeries and minimize wait times
Pandemic modeling and planning
Predicting pandemic disease spread through very large agent-based simulations and optimizing mitigation strategies through graph theory and machine learning
How effective was Newfoundland & Labrador's travel ban to prevent the spread of COVID-19? An agent-based analysis
Background: To prevent the spread of COVID-19 in Newfoundland & Labrador (NL), NL implemented a wide travel ban in May 2020. We …
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Panel on simulation modeling for COVID-19
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morPOP: A fast and granular agent-based model of COVID-19 to examine school mitigation strategies in Newfoundland & Labrador
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Analysis of emergency department length of stay for mental health visits: A case study of a Canadian academic hospital
Objective The objective of this study was to examine temporal trends in mental health visits to the emergency department (ED) and to …
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Planning capacity for mental health and addiction services in the emergency department: A discrete-event simulation approach
Ontario has shown an increasing number of emergency department (ED) visits, particularly for mental health and addiction (MHA) …
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A discrete event simulation evaluation of distributed operating room scheduling
Operating room (OR) scheduling is a challenging combinatorial problem and hence most optimization-based OR scheduling research makes …
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A simulation case study to improve staffing decisions at mass immunization clinics for pandemic influenza
Mass immunization clinics (MICs) are an important component of pandemic influenza control strategies in many jurisdictions. Decisions …
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A simulation model for perioperative process improvement
Operating rooms (ORs) are a hospital’s largest cost center and greatest source of revenue. Surgical delays and cancellations lead …
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