Clinical AI Scribes in primary care: accuracy, error severity and implications for clinical practice.
- DOI
- 10.1136/bmjdhai-2025-000092
- Published
- 2025
- Container
- BMJ digital health & AI
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1136/bmjdhai-2025-000092,
title = {Clinical AI Scribes in primary care: accuracy, error severity and implications for clinical practice.},
author = {Draper TC and Cox T and Lamb-Riddell K and Moretti LA and McCormick J and Trowell S and Kiely J and Luxton R},
year = {2025},
journal = {BMJ digital health \& AI},
doi = {10.1136/bmjdhai-2025-000092},
url = {https://doi.org/10.1136/bmjdhai-2025-000092}
}RIS
TY - JOUR TI - Clinical AI Scribes in primary care: accuracy, error severity and implications for clinical practice. AU - Draper TC AU - Cox T AU - Lamb-Riddell K AU - Moretti LA AU - McCormick J AU - Trowell S AU - Kiely J AU - Luxton R PY - 2025 JO - BMJ digital health & AI DO - 10.1136/bmjdhai-2025-000092 UR - https://doi.org/10.1136/bmjdhai-2025-000092 ER -
APA
TC, D., T, C., K, L., LA, M., J, M., S, T., J, K., & R, L. (2025). Clinical AI Scribes in primary care: accuracy, error severity and implications for clinical practice.. BMJ digital health & AI. https://doi.org/10.1136/bmjdhai-2025-000092
Source records
- pubmed · retrieved 2026-09-27T12:27:29.885Z