AI4ED Research Initiative
AI4ED is a University of Calgary research initiative studying how clinically grounded AI can support emergency department chart review, workflow simulation, and decision-support research.
The project connects emergency medicine, engineering, informatics, health-systems evaluation, and patient-centered implementation questions.
AI4ED starts from emergency department pressure, documentation burden, and the practical realities of reviewing fragmented patient histories during care.
The initiative brings together emergency medicine, engineering, data science, social science, patient partners, and health-system collaborators.
Project outputs are framed around simulation, clinician feedback, publication, and careful evaluation rather than generic AI adoption claims.
Use the site to move from clinical context and repository setup into people, outputs, and current public-facing activity.
The project is already visible through a working simulation demo, publication activity, and stakeholder-facing research events.
Interactive Demo
Explore how aligned language-model agents coordinate triage, assessment, and disposition decisions inside a usable emergency department simulation environment.
Recent Publication
Introduces an agentic emergency department simulator that combines LLM-driven clinician and patient behavior with data-driven operational modeling for workflow experiments.
Recent Activity
Hosted by Dr. Steve Drew and co-hosted by Dr. Jessalyn Kathryn Holodinsky, the Banff retreat brought together clinicians, researchers, patient partners, and health-system leaders to define next steps for AI4ED.
Project Roadmap 
AI4ED is supported by the Schulich Momentum Fund at the Schulich School of Engineering, University of Calgary. This support helps expand research collaboration, student involvement, and translation of clinically grounded AI ideas into working project infrastructure. AI4ED also receives support from the New Frontiers in Research Fund (NFRF), a Government of Canada program that advances interdisciplinary, high-risk, high-reward, and transformative research.
