A SNAPpy use of large language models: using large language models to classify treatment plans in pediatric acute otitis media
Versa effectively identifies AOM treatment plans, providing a cost-efficient quality improvement tracking tool for prescription practice patterns in pediatric antibiotic stewardship efforts.
Authors
- A Jay Holmgren (ORCID: https://orcid.org/0000-0002-7939-6831)
- Valerie J. Flaherman (ORCID: https://orcid.org/0000-0003-3117-927X)
- Augusto García-Agúndez (ORCID: https://orcid.org/0000-0002-5440-1032)
- Anh Vo (ORCID: https://orcid.org/0000-0002-9156-0323)
- B.D. Michaels
- Jessica Pourian (ORCID: https://orcid.org/0000-0001-8438-6163)
Institutions
- University of California, San Francisco (US)
- Global Brain Health Institute (US)
- University of San Francisco (US)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1093/jamia/ocaf170
- Primary Topic
- Pneumonia and Respiratory Infections
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of California, San Francisco