Current work
We are studying how simulation can function as a sandbox for AI, how structured environments can generate better performance signals, and how feedback, ergonomics, and non-technical skills training transfer to real clinical work.
Research Area
Simulation-Based Medical Education
We study how simulation should be used in medical education, including procedural training, feedback, ergonomics, and competence development. Much of this work has been grounded in endoscopy, but the educational logic is broader.
Selected publications
Impact of a simulation training curriculum on technical and nontechnical skills in colonoscopy: a randomized trial.
Grover SC, Garg A, Scaffidi MA, et al. Gastrointestinal Endoscopy. 2015.
Progressive learning in endoscopy simulation training improves clinical performance: a blinded randomized trial.
Grover SC, Scaffidi MA, Khan R, et al. Gastrointestinal Endoscopy. 2017.
Non-technical skills curriculum incorporating simulation-based training improves performance in colonoscopy among novice endoscopists.
Walsh CM, Scaffidi MA, Khan R, et al. Digestive Endoscopy. 2020.
Impact of a simulation-based ergonomics training curriculum on work-related musculoskeletal injury risk in colonoscopy.
Khan R, Scaffidi MA, Satchwell J, et al. Gastrointestinal Endoscopy. 2020.
Virtual reality simulation training for health professions trainees in gastrointestinal endoscopy.
Sabrie N, Khan R, Plahouras J, et al. Cochrane Database of Systematic Reviews. 2025.
FAQ
Who leads this work?
Samir C. Grover leads Grover Lab's work in simulation-based medical education at Scarborough Health Network and the University of Toronto.
How does simulation connect to AI at Grover Lab?
We are studying how simulation can function as a sandbox for AI and how structured environments can generate better performance signals for education and assessment.