Comparing traditional and AI-enhanced strategies for developing patient decision aids: a multiple case study

This study provides practical guidance on leveraging AI to improve the efficiency of DA development and improve their quality.

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Publication Details

Journal
BMJ evidence-based medicine
Published
2025-10-21
DOI
https://doi.org/10.1136/bmjebm-2025-113675
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Comparing traditional and AI-enhanced strategies for developing patient decision aids: a multiple case study

Julie Ayre, Anik Giguère, Lidiya Augustine, M. Robin et al.
BMJ evidence-based medicine
Artificial Intelligence in Healthcare and Education
article

Comparing traditional and AI-enhanced strategies for developing patient decision aids: a multiple case study

Julie Ayre, Anik Giguère, Lidiya Augustine, M. Robin, Delphine Auclair-Rochon
article en

Abstract

This study provides practical guidance on leveraging AI to improve the efficiency of DA development and improve their quality.

BMJ evidence-based medicine
The University of Sydney (AU), Centre for Sustainable Energy (GB), Université Laval (CA)
Openalex Percentile: Top 78%
Artificial Intelligence in Healthcare and Education
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