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

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]

Institutions

Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE)
Charité - Universitätsmedizin Berlin (DE)

Publication Details

Journal: German Medical Science (German Research Foundation)
Published: 2025-11-03
DOI: https://doi.org/10.3205/25gmds055
Primary Topic: Biomedical Text Mining and Ontologies
Type: article
Field-Weighted Citation Impact: 0.00

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article

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

Nov 3, 2025

German Medical Science (German Research Foundation)

Biomedical Text Mining and Ontologies

article

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

November 3, 2025article en

Abstract

German Medical Science (German Research Foundation)

Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), Charité - Universitätsmedizin Berlin (DE)

Quality Education

Openalex Percentile: Top 43%

Biomedical Text Mining and Ontologies

DOI Open Access PDF OpenAlex

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Are Today’s LLMs Ready to Take Over SNOMED Coding? · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS