Ambient Artificial Intelligence in Hand Surgery: Insights, Pearls, and Pitfalls From Real-World Use
Ambient AI documentation can support the creation of more structured and contextually rich clinical notes in hand surgery settings. However, successful integration requires active clinician engagement and workflow alignment to balance efficiency with clinical accuracy. These findings highlight both the promise and the practical considerations of incorporating ambient AI into surgical documentation workflows.
Authors
- Shelley S. Noland (ORCID: https://orcid.org/0000-0003-0459-1306)
- Pooja Dhupati (ORCID: https://orcid.org/0009-0009-8226-3915)
- Krishna Unadkat (ORCID: https://orcid.org/0009-0000-6475-2832)
Institutions
- University of Arizona (US)
- University of Phoenix (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic Hospital (US)
- Phoenix College (US)
Publication Details
- Journal
- Hand
- Published
- 2025-11-11
- DOI
- https://doi.org/10.1177/15589447251389661
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00