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Enhancing Interdisciplinary Understanding of Ophthalmology Notes Through a Local Large Language Model

Enhancing Interdisciplinary Understanding of Ophthalmology Notes Through Local Large Language Model

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06624605
Enrollment
851
Registered
2024-10-03
Start date
2024-02-01
Completion date
2024-05-31
Last updated
2024-10-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Artificial Intelligence (AI), Artificial Intelligence Technology, Communication, Interdisciplinary Communication

Brief summary

This prospective, randomized controlled trial evaluated the efficacy of adding Large Language model (LLM)-generated Plain Language Summaries (PLSs) to Standard Ophthalmology Notes (SONs) in enhancing comprehension among non-ophthalmology providers. The study utilized surveys to assess non-ophthalmology providers' comprehension and satisfaction with the notes and ophthalmologists' evaluation of PLS accuracy, safety, and time burden. An objective semantic and linguistic analysis of the PLSs was also conducted.

Interventions

OTHERLarge Language Model-generated Plain Language Summary of Ophthalmology notes

Prospective, randomized Quality Improvement study with real-world implementation of Large Language Model-generated Plain Language Summaries of Ophthalmology notes.

Sponsors

John J Chen
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Intervention model description

Randomized study assessing the efficacy of Large Language Model-generated Plain Language Summaries of Ophthalmology notes in increasing non-ophthalmologist note understanding. Notes were randomized to intervention (Summary + Original Note) or control (Original note only) arms. Non-ophthalmology providers were sent surveys assessing note comprehension for both control and treatment arm notes, and Ophthalmologists were sent surveys for intervention arm notes regarding Summary accuracy and other attributes. Conducted as a Quality Improvement initiative.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Evaluation by an Ophthalmologist in the Mayo Clinic Department of Ophthalmology in Rochester, MN in either the inpatient or outpatient setting between Feb 1, 2024 - May 31, 2024.

Exclusion criteria

* No in-network non-Ophthalmologist care providers in the medical record * Procedure-only visits containing only a procedure note

Design outcomes

Primary

MeasureTime frameDescription
Non-Ophthalmologist Note Comprehension and SatisfactionFrom enrollment to 8 weeks after enrollmentAssessed via survey responses evaluating understanding of the patient's ophthalmology diagnosis, satisfaction with the note, and overall preference between Standard Ophthalmology Note and Standard Ophthalmology Note + Plain Language Summary. Degree of understanding was assessed on the following Likert scale: Not at all Neutral Moderately A great deal Satisfaction was graded on the following Likert scale: Not satisfied at all Somewhat unsatisfied Neutral Somewhat satisfied Satisfied Preference between note types was assessed on the following Likert scale: Standard Note, a great deal Standard Note, somewhat Neutral Plain Language Summary, somewhat Plain Language Summary, a great deal

Secondary

MeasureTime frameDescription
Ophthalmologist Evaluation of Summary Accuracy and Time burdenAssessed at a single time point &lt;24 hr after enrollmentAssessed via survey responses regarding Plain Language Summary accuracy in reflecting the Standard Ophthalmology Note findings, time spent reviewing/editing, and perceived burden. Accuracy in reflecting findings was graded on the following Likert scale: Not at all Neutral A little A great deal Time spent reviewing/editing was reported using the following options: <1 minute 1. minute 2. minutes 3. minutes 4. minutes 5. or more minutes Perceived burden was graded on the following Likert scale: Not at all Neutral A little A great deal
Semantic and Linguistic Quality of Plain Language SummariesAssessed at a single time point &amp;lt;24 hr following enrollmentFlesch Reading Ease Scale: 0 (poor) to 100 (good)

Other

MeasureTime frameDescription
Presence of Errors, Type of Errors, and Potential Harm of ErrorsAssessed at a single time point &amp;amp;amp;amp;amp;lt;24 hr following enrollment and again at a single time point 8 weeks after enrollmentPresence of any incorrect or missing information in the Plain Language Summary, error rates, types of errors, and potential harm rating. Types of errors were reported as: HPI Exam findings Diagnosis Plan Explanation of the patient&amp;#39;s overall eye health Other N/A Likelihood of harm was graded on the following scale: Low risk Medium risk High risk N/A Potential harm rating was graded on the following scale: Mild or moderate harm Death or severe harm

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026