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

NACompletedINTERVENTIONAL
Enrollment

851

Participants

Timeline

Start Date

February 1, 2024

Primary Completion Date

May 31, 2024

Study Completion Date

May 31, 2024

Conditions
CommunicationArtificial Intelligence (AI)Artificial Intelligence TechnologyInterdisciplinary Communication
Interventions
OTHER

Large 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.

Trial Locations (1)

55905

Mayo Clinic, Rochester

All Listed Sponsors
lead

John J Chen

OTHER

NCT06624605 - Enhancing Interdisciplinary Understanding of Ophthalmology Notes Through a Local Large Language Model | Biotech Hunter | Biotech Hunter