Automatic Standardization of Hospital Medical Data via AI: Korea's Latest Progress
병원별 제각각 의료정보, AI 기술로 자동 표준화 추진 - 메디컬월드뉴스
An initiative is promoting the automatic standardization of disparate hospital medical data using AI technology and FHIR.
Summary
Under the initiative led by the Ministry of Health and Welfare, South Korea is advancing the automatic standardization of medical data that varies across different hospitals using AI technology. This aims to reduce manual labor in data processing and improve overall data quality.
Details
This report covers the outcomes shared at a conference regarding South Korea's 'Healthcare Data Interoperability Support Technology Development Project' (2025-2029). Previously, difficulties arose because medical institutions used disparate systems, making data exchange challenging. Researchers were forced to perform time-consuming manual preprocessing and standardization. The core of this R&D project is developing AI technology—utilizing large language models—to automatically support the standardization of different hospital clinical systems. Key initiatives include: 1. **Terminology Standardization:** Building a central integrated operation system to manage evolving terminology and transmission standards, allowing automatic updates to medical institutions. 2. **Transmission Standards:** Developing an AI model trained on the grammar rules and criteria of FHIR (Fast Healthcare Interoperability Resources), making it easier for non-experts to apply next-generation data transmission standards in practice. This effort involves industry, academia, and government experts, aiming to build a comprehensive ecosystem for healthcare data interoperability. The goal is to achieve improved interoperability and automatic standardization of medical data using AI within South Korea.
Technology Note
FHIR（Fast Healthcare Interoperability Resources）は医療データ交換の国際標準。このエントリの関連技術: FHIR
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