AI-Driven Consent Simplification Study
NCT07303517 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 230
Last updated 2026-05-08
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.
Conditions
- Informed Consent
- Comprehension
- Communication
- Disclosure
Interventions
- BEHAVIORAL
-
Original ICF
Participant will review the original ICF
- BEHAVIORAL
-
AI Simplified ICF
Participant will review the AI Simplified ICF
- BEHAVIORAL
-
Podcast - Original ICF
Listen to a podcast that is developed to provide an engaging format for the original ICF.
- BEHAVIORAL
-
Podcast - Simplified ICF
Listen to a podcast that is developed to provide an engaging format for the simplified ICF.
Sponsors & Collaborators
-
University of California, Los Angeles
lead OTHER
Principal Investigators
-
Arash Naeim, MD, PhD · University of California, Los Angeles
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2026-01-08
- Primary Completion
- 2026-12-01
- Completion
- 2026-12-01
Countries
- United States
Study Locations
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