Impacts of AI Scribe
Impacts of AI Scribe on Clinicians Workload
Project Status:Complete
Knowledge User(s)
Canada Health Infoway
Collaborator(s)
Steven Ouellet, Farzaneh Yousefi, Théo Stefan
Funding Source(s)
- Canadian Institutes of Health Research (CIHR) through the Strategy for Patient-Oriented Research (SPOR) Evidence Alliance
- Université Laval
Project Objectives
To evaluate the effectiveness of AI scribes designed to streamline clinical documentation, focusing on outcomes related to clinician well-being, efficiency, and patient engagement.
Research Approach
Rapid Review, Systematic Review
Project Lead(s)
Maxime Sasseville
Maxime Sasseville is an associate professor in nursing sciences at Université Laval and researcher at the VITAM research centre in Québec, Canada. He has a PhD in health sciences research from Université de Sherbrooke and a postdoc from Université Laval in digital measurement and interventions. He has obtained multiple prizes and recognition for the quality of his knowledge translation activities. He is a mentor in the TUTOR-PHC program, a national primary care research capacity-building initiative, and serves as Associate Editor for Systematic Reviews. His current research program focuses on the implementation of artificial intelligence in health systems, including the responsible integration of large language models, digital interventions, and learning health systems. His work emphasizes ethical data governance, patient-reported outcomes, and the co-creation of AI-driven tools to improve decision-making, care quality, and system learning.
Maxime Sasseville
Université Laval
Maxime Sasseville is an associate professor in nursing sciences at...