Leveraging electronic health records for atrial fibrillation cohort generation
(1) Discharge reports are a valuable resource for automatic cohort selection, with both the rule-based method and LLMs showing promising results. (2) While LLMs struggled with long-context inputs, they handled temporal reasoning well when explicit dates were provided. (3) Larger models did not always outperform smaller ones, (4) prompt language strongly influenced performance, and medical model variants were not consistently superior.
Authors
- Aitziber Atutxa
- Ane García Domingo-Aldama
- Marcos Merino Prado
- Josu Goikoetxea
- Alain García-Olea
- Koldo Gojenola
Institutions
- University of the Basque Country (ES)
- Hospital de Basurto (ES)
Publication Details
- Journal
- Health Information Science and Systems
- Published
- 2026-01-07
- DOI
- https://doi.org/10.1007/s13755-025-00415-w
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Eusko Jaurlaritza
- Agencia Estatal de Investigación