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)

Project lead picture

Maxime Sasseville

Position: Université Laval
Email: maxime.sasseville@fsi.ulaval.ca

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.

Maxime Sasseville

Université Laval

Maxime Sasseville is an adjunct professor in nursing sciences at...

Project Outputs

In Progress