A Bilingual On-Premises AI Agent for Clinical Drafting: Implementation Report of Seamless Electronic Health Records Integration in the Y-KNOT Project.

ABSTRACT:

Background

Large language models (LLMs) have shown promise in reducing clinical documentation burden, yet their real-world implementation remains rare. Especially in South Korea, hospitals face several unique challenges, such as strict data sovereignty requirements and operating in environments where English is not the primary language for documentation. Therefore, we initiated the Your-Knowledgeable Navigator of Treatment (Y-KNOT) project, aimed at developing an on-premises bilingual LLM-based artificial intelligence (AI) agent system integrated with electronic health records (EHRs) for automated clinical drafting.

Objective

We present the Y-KNOT project and provide insights into implementing AI-assisted clinical drafting tools within constraints of health care system.

M

SUBMITTER: Kim H 

PROVIDER: S-EPMC12643392 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature