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

University of California, Los Angeles · NCT06859216

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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
Evaluating AI-Generated Plain Language Summaries on Patient… (NCT06859216) | Bored Studies