Using LLMs for the Annotation of German Clinical Forms with SNOMED CT and the MII Core Data Set

Introduction: The Medical Informatics Initiative (MII) aims to standardise routine care data for research based on the core data set (CDS)[ref:1]. To improve semantic interoperability, the CDS utilises the world’s leading health terminology SNOMED CT(SCT)[ref:2]. Medical [for full text, please go to the a.m. URL]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds062
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Using LLMs for the Annotation of German Clinical Forms with SNOMED CT and the MII Core Data Set

German Medical Science (German Research Foundation)
Biomedical Text Mining and Ontologies
article

Using LLMs for the Annotation of German Clinical Forms with SNOMED CT and the MII Core Data Set

article en

Abstract

Introduction: The Medical Informatics Initiative (MII) aims to standardise routine care data for research based on the core data set (CDS)[ref:1]. To improve semantic interoperability, the CDS utilises the world’s leading health terminology SNOMED CT(SCT)[ref:2]. Medical [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Helmholtz Zentrum München (DE), Universitätsklinikum Erlangen (DE)
Openalex Percentile: Top 43%
Biomedical Text Mining and Ontologies
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Using LLMs for the Annotation of German Clinical Forms with SNOMED CT and the MII Core Data Set · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS