Evaluating AI-Generated Plain Language Summaries on Patient Comprehension of Ophthalmology Notes Among English-Speaking Patients
University of California, Los Angeles · NCT06859216
Opens the official ClinicalTrials.gov record, with the study team’s contacts. Bored Studies doesn’t enroll anyone.
Key facts
- Compensation
- Not posted. Ask the study team before screening.
- Who can join
- Ages 18+ · All sexes
- Healthy volunteers
- Accepted
- Study type
- Interventional · Not applicable
- Target enrollment
- 460
- US sites recruiting
- 1
- Study start
- March 1, 2025
- Record last updated
- March 5, 2026
Status re-checked against ClinicalTrials.gov within the last 12 hours.
What the study is about
This clinical trial is testing whether plain language summaries made by artificial intelligence help people understand their eye doctor's notes better. Adults receiving eye care at the Jules Stein Eye Institute will get either the usual medical notes or a note with the addition of an AI-generated summary that explains the information in simple, everyday words. Participants will then answer a short survey and receive a follow-up call to share how clear the information was, how well they understood their diagnosis and treatment, and whether they feel more confident about their care. The goal is to find out if these plain language summaries can make it easier for people to understand their eye care and improve communication between patients and health care providers.
Being studied: AI-Generated Plain Language Summaries
Conditions: Ophthalmic Disease; Artifical Intelligence; Large Language Model
Eligibility criteria
Copied from the official record. The study team makes the final decision at screening.
Show full criteria
Inclusion Criteria
- Age ≥ 18 years English-speaking Receiving ophthalmology care at the Jules Stein Eye Institute Able to provide informed consent
Exclusion Criteria
- Known cognitive impairments (e.g., dementia, intellectual disability) that would affect comprehension Prisoners or wards of the state Unable to provide informed consent
Recruiting US locations
UCLA
Los Angeles, CA 90095
Site contact: Prashant D Tailor, MD · 4043166920 · ptailor@mednet.ucla.edu
Study contacts (from the official record)
- Prashant Tailor, MD · 4043166920 · ptailor@mednet.ucla.edu
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