Prompting is All You Need: How to Make LLMs More Helpful for Clinical Decision Support

Structured prompting substantially enhances LLM performance for acute stroke thrombolysis CDS. Notably, some models, including the proprietary GPT-4o and o3, and the open-source reasoning model r1-1776, achieved excellent safety and adherence with structured prompts. For clinical deployment of any LLM, structured prompts are crucial, and vigilant human oversight remains essential.

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Publication Details

Journal
medRxiv
Published
2026-02-22
DOI
https://doi.org/10.64898/2026.02.12.26346005
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Prompting is All You Need: How to Make LLMs More Helpful for Clinical Decision Support

Braydon Dymm, Daniel M. Goldenholz
medRxiv
Artificial Intelligence in Healthcare and Education
article

Prompting is All You Need: How to Make LLMs More Helpful for Clinical Decision Support

Braydon Dymm, Daniel M. Goldenholz
article en

Abstract

Structured prompting substantially enhances LLM performance for acute stroke thrombolysis CDS. Notably, some models, including the proprietary GPT-4o and o3, and the open-source reasoning model r1-1776, achieved excellent safety and adherence with structured prompts. For clinical deployment of any LLM, structured prompts are crucial, and vigilant human oversight remains essential.

medRxiv
Charleston Area Medical Center (US), Harvard University (US), Hadassah Medical Center (IL)
Peace, Justice and strong institutions
Openalex Percentile: Top 48%
Artificial Intelligence in Healthcare and Education
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