MedMatch: a first step for the automation of large language model performance benchmarking for medication-related tasks
Standardized format for computer-based outputs may support automated performance analysis and enhance the clarity of medication communication.
Authors
- Seth R. Bauer (ORCID: https://orcid.org/0000-0002-0420-0320)
- Sunghwan Sohn (ORCID: https://orcid.org/0000-0001-8256-2602)
- Xingmeng Zhao (ORCID: https://orcid.org/0000-0002-7346-758X)
- Kaitlin Blotske (ORCID: https://orcid.org/0000-0002-2977-0266)
- Adeleine Tilley
- Moriah Cargile
- Brian Murray
- Yanjun Gao
- Kelli Henry
- Tianming Liu
- Susan E Smith
- Erin Barreto
Institutions
- Cleveland Clinic (US)
- University of Georgia (US)
- Augusta University (US)
- Mayo Clinic in Arizona (US)
- University of Colorado Anschutz Medical Campus (US)
- University of Montana (US)
Publication Details
- Journal
- medRxiv
- Published
- 2026-01-15
- DOI
- https://doi.org/10.64898/2026.01.13.26343949
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00