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Are Today’s LLMs Ready to Take Over SNOMED Coding?

Year: 2025

Type: conference-paper

Abstract: Introduction: High-quality semantic mapping to standardized medical terminologies like SNOMED is critical for interoperability and secondary use of health data. Traditionally, this task is performed manually by experienced coders. However, the recent advances in large language models (LLMs) have sparked [for full text, please go to the a.m. URL]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/25gmds055

Authors: Schmid, Jan Carlo, Bartschke, Alexander, Salgado, Eduardo, Thun, Sylvia, Vorisek, Carina Nina

Institutions: Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charité - Universitätsmedizin Berlin

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W7103884415

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