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

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorUniversity of California, Los Angeles

About this trial

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 criteria

This trial accepts healthy volunteers

Qualifiers

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

Disqualifiers

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

Trial design

Design model

Parallel

Treatments tested in this trial

  • AI-Generated Plain Language Summaries

    Behavioral

    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.

Treatment groups

460 Participants
are divided into 2 treatment groups
Group A: Standard Ophthalmology Notes (SON) OnlyNo intervention 0 interventions
Group B: SON + AI-Generated Plain Language SummariesExperimental treatment 1 intervention

Trial outcomes

Primary outcomes

1

Patient Comprehension Score (Immediate Post-Visit)

Mean score on a 5-point scale assessing participants' understanding of their ophthalmology visit notes (diagnosis, treatment plan, follow-up instructions) immediately after the clinic visit. Higher scores indicate better comprehension.

Time frame
Immediately post-visit (Day 0)

Secondary outcomes

1

Patient Comprehension Score (1-Week Follow-Up)

Mean score on a 1-5 scale assessing retention of ophthalmology information one week after the clinic visit. Higher scores indicate better long-term comprehension.

Time frame
1 week post-visit
2

Patient Satisfaction

Mean satisfaction score (1-5 scale) measuring clarity, detail, and usefulness of the visit notes. Higher scores indicate greater satisfaction.

Time frame
Immediately post-visit (Day 0)
3

Comprehension Gap Reduction

Difference in comprehension scores between participants with lower vs. higher baseline health literacy. A smaller gap indicates greater reduction in literacy-related disparities.

Time frame
Day 0 and 1 week post-visit
4

Time Efficiency for Ophthalmologists

Average additional time (in minutes) required for ophthalmologists to review and edit AI-generated Plain Language Summaries, reported in the ophthalmologist survey. Lower times indicate better efficiency.

Time frame
Day 0

Other outcomes

Sponsors and contacts

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