Recruiting

Observational Study

Sponsor:

UCLA

Code:

NCT06859216

Conditions

Ophthalmic Disease

Artifical Intelligence

Large Language Model

Eligibility Criteria

Sex: All

Age: 18+

Healthy Volunteers: Accepted

Interventions

AI-Generated Plain Language Summaries

Study Details

Brief 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. 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.

Conditions

Ophthalmic Disease

Artifical Intelligence

Large Language Model

Study ID

NCT06859216

Start date

Mar 1, 2025

Status verified date

Mar, 2026

Completion date

Jun 1, 2026

Anticipated

Primary completion date

Apr 30, 2026

Anticipated

Eligibility Criteria

Eligibility Criteria

Sex: All

Age: 18+

Healthy Volunteers: Accepted

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

Study Design

Enrollment

460 participants

Anticipated

Allocation

Randomized

Intervention Model

Parallel Assignment

Primary purpose

Health Services Research

Interventions and Outcome Measures

Arms

no intervention: Standard Ophthalmology Notes (SON) Only

Participants in this arm receive the standard ophthalmology notes typically provided after their clinic visit, with no additional plain language summary. They will complete surveys that measure their comprehension and satisfaction with the visit notes.

experimental: SON + AI-Generated Plain Language Summaries

Participants in this arm receive the standard ophthalmology notes plus an AI-generated plain language summary, reviewed for accuracy before distribution. They will complete the same surveys to assess whether the additional summary improves their understanding and satisfaction compared to the control group.

Interventions

AI-Generated Plain Language Summaries

Participants receive standard ophthalmology notes plus an AI-generated summary that explains medical information in simpler language. Each summary is reviewed by an ophthalmologist for accuracy before being given to the participant. The goal is to help participants better understand their diagnosis, treatment plan, and follow-up instructions.

Primary outcome measure

  • Patient Comprehension Score (Immediate Post-Visit) [ Time Frame: Immediately post-visit (Day 0) ]

Central Contacts and Locations

Central contacts

Prashant Tailor, MD

4043166920ptailor@mednet.ucla.edu

Locations

UCLA

Recruiting

Los Angeles, California, United States, 90095

Contacts

Prashant D Tailor, MD

4043166920ptailor@mednet.ucla.edu

More Information

Sponsor

University of California, Los Angeles

Last update posted

Mar 5, 2026

Last verified

Mar, 2026

Keywords

  • Plain Language Summary
  • LLM
  • Artifical Intelligence
  • Patient education

Trial information was received from ClinicalTrials.gov and was last updated on 2026-09-09. This information was provided to ClinicalTrials.gov by University of California, Los Angeles on 2026-03-05.