Conséquences des transcriptions d’IA sur la charge de travail des cliniciens
Statut du projet: Terminé
Utilisateur(s) des connaissances
Inforoute Santé du Canada
Collaborator(s)
Steven Ouellet, Farzaneh Yousefi, Théo Stefan
Source(s) de financement
Instituts de recherche en santé du Canada (IRSC), dans le cadre de l’Alliance pour des données probantes de la Stratégie de recherche axée sur le patient (SRAP), Université Laval
Objectif du projet
Évaluer l’efficacité des transcriptions d’AI pour rationaliser la documentation clinique, en mettant l’accent sur les résultats liés au bien-être des praticiens, à l’efficacité et à l’implication des patients.
Approche de recherche
Revue rapide, Revue systématique
Responsables du projet
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…