Artificial Intelligence Scribes and Same-Day Note Closure by Patient Language Preference and Interpreter Modality
This cross-sectional study evaluates the association between artificial intelligence scribes and same-da note closure by patient language preference and interpreter modality.
Authors
- Jacqueline Guan-Ting You (ORCID: https://orcid.org/0000-0002-2562-7526)
- Jorge Alberto Rodriguez (ORCID: https://orcid.org/0000-0002-1833-6819)
- Rebecca Grochow Mishuris (ORCID: https://orcid.org/0000-0002-4804-3128)
- Gezzer Ortega (ORCID: https://orcid.org/0000-0003-2049-811X)
- Stuart R. Lipsitz (ORCID: https://orcid.org/0000-0003-2619-1389)
- Lipika Samal (ORCID: https://orcid.org/0000-0001-6384-4946)
Institutions
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Mass General Brigham (US)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2026-11-06
- DOI
- https://doi.org/10.1001/jamanetworkopen.2026.42403
- Primary Topic
- Electronic Health Records Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00