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

Recruiting now · Not applicable

Conditions studied: Ophthalmic Disease, Artifical Intelligence, Large Language Model

In brief

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.

Key facts

Study ID

NCT06859216

Run by

University of California, Los Angeles

People needed

460

Starts

2025-03-01

Expected to finish

2026-06-01

Last updated by the study team

2026-03-05

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Age ≥ 18 years English-speaking Receiving ophthalmology care at the Jules Stein Eye Institute Able to provide informed consent

You may not qualify if…

• Known cognitive impairments (e.g., dementia, intellectual disability) that would affect comprehension Prisoners or wards of the state Unable to provide informed consent

Where it is running

• UCLA — Los Angeles, California, United States (enrolling)

Full record on ClinicalTrials.gov

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