General-purpose LLMs with advanced prompting strategies provide better support for designing pharmacoepidemiologic studies than biomedical LLMs, as shown by higher relevance and justification scores on 46 real protocols.
Mandatory elements: 17 exclusion criteria medical history, missing data) should be developed for this study based on the [Q1 answer] design and [Q2 answer] index date
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Employing General-Purpose and Biomedical Large Language Models with Advanced Prompt Engineering for Pharmacoepidemiologic Study Design
General-purpose LLMs with advanced prompting strategies provide better support for designing pharmacoepidemiologic studies than biomedical LLMs, as shown by higher relevance and justification scores on 46 real protocols.