Personas Shift Clinical Action Thresholds in Large Language Models

Decision-style system prompts reliably change clinical action thresholds in LLMs under fixed evidence. Prompting is a policy-setting layer, not just a communication layer, and should be treated as a first-class deployment configuration.

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Publication Details

Journal
medRxiv
Published
2026-01-02
DOI
https://doi.org/10.64898/2026.01.01.26343302
Primary Topic
Persona Design and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Personas Shift Clinical Action Thresholds in Large Language Models

Mahmud Omar, Eyal Klang, Alon Gorenshtein, Girish Nadkarni
medRxiv
Persona Design and Applications
article

Personas Shift Clinical Action Thresholds in Large Language Models

Mahmud Omar, Eyal Klang, Alon Gorenshtein, Girish Nadkarni
article en

Abstract

Decision-style system prompts reliably change clinical action thresholds in LLMs under fixed evidence. Prompting is a policy-setting layer, not just a communication layer, and should be treated as a first-class deployment configuration.

medRxiv
Mount Sinai Health System (US), Mount Sinai Medical Center (US), Icahn School of Medicine at Mount Sinai (US)
Georgia Clinical and Translational Science Alliance, National Institutes of Health, National Center for Advancing Translational Sciences
Peace, Justice and strong institutions
Openalex Percentile: Top 98%
Persona Design and Applications
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