Large Language Model Assistant for Emergency Department Discharge Documentation.

ABSTRACT:

Importance

Emergency department (ED) discharge documentation is time-consuming and often incomplete.

Objective

To develop a large language model (LLM) assistant that generates ED discharge notes and to evaluate its effectiveness on documentation quality and workflow efficiency.

Design, setting, and participants

This comparative effectiveness study, which was conducted at a 2400-bed tertiary care hospital in South Korea, consisted of 2 primary phases: a development phase and sequential validation of the LLM assistant. In the randomized sequential prospective validation, 6 emergency physicians first wrote discharge notes manually (session 1), then edited LLM-generated drafts after a 1-hour washout period (session 2). Three independent physicians evaluated 300 note sets

SUBMITTER: Song JW 

PROVIDER: S-EPMC12541540 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature