Evaluating AI-Generated Plain Language Summaries on Patient Comprehension of Ophthalmology Notes Among English-Speaking Patients
University of California, Los Angeles
460 participants
Mar 1, 2025
INTERVENTIONAL
Conditions
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.
Eligibility
Inclusion Criteria1
- Age ≥ 18 years English-speaking Receiving ophthalmology care at the Jules Stein Eye Institute Able to provide informed consent
Exclusion Criteria1
- Known cognitive impairments (e.g., dementia, intellectual disability) that would affect comprehension Prisoners or wards of the state Unable to provide informed consent
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Interventions
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.
Locations(1)
View Full Details on ClinicalTrials.gov
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NCT06859216