What makes a ‘good’ decision with artificial intelligence? A grounded theory study in paediatric care
Good decisions using AI tools require reflection across multiple domains. We provide an actionable framework and question guide to support clinical decision-making with AI.
Authors
- Azadeh Assadi (ORCID: https://orcid.org/0000-0001-8156-6396)
- Fanny Chevalier (ORCID: https://orcid.org/0000-0002-5585-7971)
- Shalmali Joshi
- Ian Stedman (ORCID: https://orcid.org/0000-0002-7121-8184)
- Kelly Thai (ORCID: https://orcid.org/0000-0003-2696-0811)
- Sana Tonekaboni
- Melissa D. McCradden (ORCID: https://orcid.org/0000-0002-6476-2165)
- Minfan Zhang
- Anna Goldenberg (ORCID: https://orcid.org/0000-0002-2416-833X)
Institutions
- Canadian Institute for Advanced Research (CA)
- University of Toronto (CA)
- York University (CA)
- Hospital for Sick Children (CA)
- Vector Institute (CA)
- Australian Centre for Robotic Vision (AU)
- SickKids Foundation (CA)
- Columbia University (US)
Publication Details
- Journal
- BMJ evidence-based medicine
- Published
- 2025-02-12
- DOI
- https://doi.org/10.1136/bmjebm-2024-112919
- Citations
- 6
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.93
Funders
- Hospital for Sick Children
- Canadian Institutes of Health Research