Impacts of AI Scribe
Impacts of AI Scribe on Clinicians Workload
Project Status:In progress
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
Project Lead(s)
Maxime Sasseville
Maxime Sasseville is an adjunct 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 products and implications. He is part of multiple research teams and endeavors for his skills and expertise in clinical measurement and evaluation, digital health interventions and applied AI to health interventions. He is a TUTOR-PHC alumni from 2015-2016. His research interest focus on patient-reported outcomes, digital implementation of outcome measures, psychometrics and multimorbidity.
Project Outputs
In Progress