Enhancing Emergency Department Efficiency and Access to Care: Advancing SiMLQ’s Data-Driven Simulation Framework for Ontario Hospitals

challenges such as long wait times and overcrowding. These delays impact patient health and strain healthcare resources. This project aims to address these challenges by enhancing SiMLQ, a cutting-edge software tool that uses data to simulate and optimize ED operations.

Using real-world data from Erie Shores Healthcare Center as an example, the project will develop advanced features to improve how ED performance is analyzed and predicted. For instance, factors like how busy different areas of the hospital are or how resources like staff and beds are being used will be integrated into the software. These insights will help hospitals make better decisions about resource allocation, reducing bottlenecks and improving patient flow.

By creating a smarter simulation tool, this project not only helps Erie Shores but also lays the groundwork for broader adoption across other hospitals in Ontario and beyond. The ultimate goal is to ensure more patients receive timely care, healthcare providers can better manage their resources, and the system as a whole becomes more efficient. This work supports a healthier Canada by improving access to emergency care and reducing strain on our healthcare system.

Faculty Supervisor:

Opher Baron

Student:

Partner:

SiMLQ

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Toronto

Program: