Understanding Reasons for Oral Anticoagulation Nonprescription in Atrial Fibrillation Using Large Language Models
This is the first study using large language models to extract documented reasons for OAC nonprescription from clinical notes in patients with atrial fibrillation and reveals guideline-discordant practices and actionable insights for the development of health system interventions to reduce OAC nonprescription.
Authors
- Tina Hernandez‐Boussard (ORCID: https://orcid.org/0000-0001-6553-3455)
- Fátima Rodríguez (ORCID: https://orcid.org/0000-0002-5226-0723)
- Sulaiman Somani (ORCID: https://orcid.org/0000-0003-0913-8674)
- Sadeer G Al-Kindi (ORCID: https://orcid.org/0000-0002-1122-7695)
- Summer Ngo (ORCID: https://orcid.org/0000-0002-7434-4143)
- Tina Seto (ORCID: https://orcid.org/0000-0002-7937-9564)
- Dale Kim (ORCID: https://orcid.org/0000-0003-1987-3680)
- Eduardo J Pérez-Guerrero
Institutions
- Houston Methodist (US)
- Stanford Health Care (US)
- Stanford University (US)
Publication Details
- Journal
- Journal of the American Heart Association
- Published
- 2025-03-27
- DOI
- https://doi.org/10.1161/jaha.124.040419
- Citations
- 3
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 4.16