top of page

Transforming MedEd with Tech

Grover Lab studies how clinicians learn, practice, and perform. We build and evaluate technology that improves training and assessment.

418462990_ae8370db-5e76-4dae-a474-263c7b60a1fd.jpg
White Background

Grover Lab

About Us

Grover Lab studies how clinicians learn, practice, and perform. We build and evaluate technology that improves training and assessment. Our work integrates medical education, learning science, simulation, and AI to teach, analyze performance and design usable systems to accelerate improvement. The lab’s home is in gastroenterology and endoscopy education, and our methods generalise across health professions.

0H4A5438.jpg
0H4A5469.jpg

Research Areas

Simulation based learning and assessment

High-fidelity simulation settings to teach and assess clinical and procedural skills

AI and learner interactions

Determining the optimal way to teach and learn in AI-enabled clinical environments

AI driven learner feedback

Testing ambient AI to provide feedback and performance assessments to learners.

The future of Medical education

Our research spans simulation, AI-driven assessment, and data analytics — uncovering insights that shape better healthcare education.
White Background
SG Headshot.JPG

Lab Head

Dr. Samir C. Grover

MD, MEd, FRCPC, AGAF, FASGE

Dr. Samir C. Grover is the Executive Vice-President, Academics at Scarborough Health Network and the inaugural Pialis Family Chair in Education at the SHN Research Institute (SHNRI) . With a background in gastroenterology and therapeutic endoscopy, Dr. Grover completed a Master of Education at the University of Toronto in 2009. He developed the University of Toronto Endoscopic Simulation course, which has trained over 300 endoscopic worldwide. He is an internationally recognised educator in endoscopy, and leader in research in technology-enhanced procedural education.

Publications

Research That Transforms Medical Education

Understanding Clinical Decision-Making with AI Support — Journal of Medical Education

67903.jpg

Get in Touch

Understanding Clinical Decision Making with AI Support Journal of Medical Education

123-456-7890

bottom of page