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

Enhancing Interdisciplinary Understanding of Ophthalmology Notes Through Local Large Language Model

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.

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