Evaluating the Usability, Technical Performance, and Accuracy of Artificial Intelligence Scribes for Primary Care: Competitive Analysis
- DOI
- 10.2196/71434
- Published
- 2025-07-23
- Container
- JMIR Human Factors
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/71434,
title = {Evaluating the Usability, Technical Performance, and Accuracy of Artificial Intelligence Scribes for Primary Care: Competitive Analysis},
author = {Emily Ha and Isabelle Choon-Kon-Yune and LaShawn Murray and Siying Luan and Enid Montague and Onil Bhattacharyya and Payal Agarwal},
year = {2025},
journal = {JMIR Human Factors},
doi = {10.2196/71434},
url = {https://doi.org/10.2196/71434}
}RIS
TY - JOUR TI - Evaluating the Usability, Technical Performance, and Accuracy of Artificial Intelligence Scribes for Primary Care: Competitive Analysis AU - Emily Ha AU - Isabelle Choon-Kon-Yune AU - LaShawn Murray AU - Siying Luan AU - Enid Montague AU - Onil Bhattacharyya AU - Payal Agarwal PY - 2025 JO - JMIR Human Factors DO - 10.2196/71434 UR - https://doi.org/10.2196/71434 ER -
APA
Ha, E., Choon-Kon-Yune, I., Murray, L., Luan, S., Montague, E., Bhattacharyya, O., & Agarwal, P. (2025). Evaluating the Usability, Technical Performance, and Accuracy of Artificial Intelligence Scribes for Primary Care: Competitive Analysis. JMIR Human Factors. https://doi.org/10.2196/71434
Source records
- crossref · retrieved 2026-11-10T05:05:51.806Z