An Organized Approach to Using Large Language Models for Medical Information
The framework we describe represents a unique attempt to standardize a methodology for medical inputs into a large language model. Doing so expands the potential for outlining patient-specific information that can be implemented in a query by either a patient or a physician. Most notably, future projects should consider the specialty- and presentation-specific input changes that may yield the best outputs for the desired goals.
Authors
- Faris F Halaseh
- Warren Wiechmann (ORCID: https://orcid.org/0000-0002-3701-4356)
- Saman Andalib (ORCID: https://orcid.org/0009-0002-3281-8256)
- Rishi Vermani (ORCID: https://orcid.org/0009-0001-9417-7645)
- Anagha Thiagarajan
- Aidin Spina
- Jason Liang
Institutions
- University of California, Irvine (US)
Publication Details
- Journal
- Western Journal of Emergency Medicine
- Published
- 2025-12-20
- DOI
- https://doi.org/10.5811/westjem.46577
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00