Evaluating AI-Generated Plain Language Summaries on Patient Comprehension of Ophthalmology Notes Among English-Speaking Patients
NCT06859216
This study is recruiting at 1 US site in 1 state, according to its ClinicalTrials.gov record last updated .
Summary
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.
Shortened from the sponsor's brief summary. View official record on ClinicalTrials.gov
Conditions studied
- Ophthalmic Disease
- Artifical Intelligence
- Large Language Model
Eligibility basics and study details
- Study type
- Interventional
- Phase
- Not applicable
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Sponsor
- University of California, Los Angeles
- Last updated on ClinicalTrials.gov
- March 5, 2026
These are the basic criteria only. The full inclusion and exclusion criteria are on the official record, and the study team decides who can take part.
US recruiting sites
California · 1
- UCLA · Los Angeles, CA
Source: ClinicalTrials.gov, data processed . Recruiting US sites filtered by distance and site status; summaries shortened.