Clinical Trial

AI-Driven Consent Simplification Study

Study acronym: ACCESS
Recruiting
View on ClinicalTrials.gov →
Summary
The overarching goal of this pilot is to explore how generative artificial intelligence (genAI) can be used to improve the accessibility and understandability of informed consent materials in clinical research. The study will test the extent to which informed consent text can be improved by large language models (LLM; specifically, ChatGPT and NotebookLM) along with other AI tools (specifically, ElevenLabs) through qualitative and quantitative analyses. Simplifying such forms using genAI may facilitate better comprehension, ensuring truly informed consent. Improving informed consent form (ICF) comprehension can lead to more informed and willing participation in clinical studies. This improved understanding may result in higher enrollment rates, better subject retention, and more accurate data collection as individuals will have a clearer understanding of study procedures and risks.
Protocol Amendment History 2 amendments
This ClinicalTrials.gov record has been amended 2 times since 2025-12-19; most recent amendment 2026-05-04.
Status change: Not Yet Recruiting → Recruiting 2026-03-11
Trial Details
NCT Number NCT07303517
Lead Sponsor University of California, Los Angeles
Conditions Informed Consent, Comprehension, Communication, Disclosure
Enrollment 230 participants
Start Date 2026-01-08
Primary Completion 2026-12-01 (estimated)
Study Completion 2026-12-01 (estimated)
Updated on ClinicalTrials.gov 2026-05-08