Patient safety and quality implications of large language model use in healthcare: a risk-stratified assessment of artificial intelligence-assisted medical consultations
These preliminary findings suggest that implementation of AI-assisted healthcare consultations may benefit from risk-stratified deployment strategies, pending validation in larger studies. Current findings inform the development of safety frameworks and quality indicators essential for maintaining high standards of care while leveraging the benefits of AI.
Authors
- Pouyan Esmaeilzadeh
Institutions
- Florida International University (US)
Publication Details
- Journal
- International Journal for Quality in Health Care
- Published
- 2025-12-23
- DOI
- https://doi.org/10.1093/intqhc/mzaf134
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65