Disclaimers and Referral Patterns for Medical Advice Across Urgency Levels: Large Language Model Evaluation Study
Current LLMs exhibit urgency-responsive safety mechanisms when providing medical advice. All evaluated models adaptively incorporate more explicit disclaimers and urgent referrals for higher-urgency queries. However, variability between LLMs highlights the need for standardized safety measures and appropriate regulatory frameworks. Although these findings indicate progress regarding safety concerns, the public availability of LLMs requires careful consideration to ensure consistent protection against patient harm while preserving the benefits of low-threshold access to health information.
Authors
- Richard Hickstein
- Sebastian Daniel Boie (ORCID: https://orcid.org/0000-0001-7993-7901)
- Louis Agha-Mir-Salim (ORCID: https://orcid.org/0000-0002-2733-5084)
- Sophie K. Piper (ORCID: https://orcid.org/0000-0002-0147-8992)
- Felix Balzer
- Florian Reis
- Moritz Reis
Institutions
- Max Delbrück Center (DE)
- University of Würzburg (DE)
- Humboldt-Universität zu Berlin (DE)
- Zimmer Biomet (Germany) (DE)
- Freie Universität Berlin (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2026-01-22
- DOI
- https://doi.org/10.2196/84668
- Primary Topic
- Healthcare Systems and Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00