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Study identifier: NCT06859216 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

Evaluating AI-Generated Plain Language Summaries on Patient Comprehension of Ophthalmology Notes Among English-Speaking Patients

Condition: Ophthalmic Disease · Artifical Intelligence · Large Language Model  ·  Sponsor: University of California, Los Angeles

PhaseNA
Planned participants460
Who can joinAll sexes, 18 Years to no upper limit
Healthy volunteersYes

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

Prashant Tailor, MD  ·  4043166920  ·  ptailor@mednet.ucla.edu

Always discuss trial participation with your own doctor first.

Locations (1)

UCLALos Angeles, California, United StatesRecruiting

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Source record: clinicaltrials.gov/study/NCT06859216