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.

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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
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article

Disclaimers and Referral Patterns for Medical Advice Across Urgency Levels: Large Language Model Evaluation Study

Richard Hickstein, Sebastian Daniel Boie, Louis Agha-Mir-Salim, Sophie K. Piper et al.
Journal of Medical Internet Research
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article

Disclaimers and Referral Patterns for Medical Advice Across Urgency Levels: Large Language Model Evaluation Study

Richard Hickstein, Sebastian Daniel Boie, Louis Agha-Mir-Salim, Sophie K. Piper, Felix Balzer, Florian Reis, Moritz Reis
article en

Abstract

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.

Journal of Medical Internet ResearchVol. 28
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)
Quality Education
Openalex Percentile: Top 80%
Healthcare Systems and Technology
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