Transforming Informed Consent Generation Using Large Language Models: Mixed Methods Study.

ABSTRACT:

Background

Informed consent forms (ICFs) for clinical trials have become increasingly complex, often hindering participant comprehension and engagement due to legal jargon and lengthy content. The recent advances in large language models (LLMs) present an opportunity to streamline the ICF creation process while improving readability, understandability, and actionability.

objectives

This study aims to evaluate the performance of the Mistral 8x22B LLM in generating ICFs with improved readability, understandability, and actionability. Specifically, we evaluate the model's effectiveness in generating ICFs that are readable, understandable, and actionable while maintaining the accuracy and completeness.

Methods

We processed 4 clinical trial protocols from the institutional

SUBMITTER: Shi Q 

PROVIDER: S-EPMC11841745 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature