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Introducing Medical Semantic Annotation Guidelines for German Clinical Documentation with SNOMED CT

Year: 2025

Type: conference-paper

Abstract: Introduction: The systematic annotation of clinical free-text documents with standardized terminologies, such as SNOMED CT (SCT), is essential for developing interoperable and semantically enriched healthcare resources. Domain-specific natural language corpora with meaningful and expressive annotations [for full text, please go to the a.m. URL]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/25gmds108

Authors: Hofenbitzer, Justin, Schulz, Stefan, Boeker, Martin, Klügl, Peter, Riepenhausen, Sarah, Lohr, Christina, Lammert, Jacqueline, Riedel, Andrea, Modersohn, Luise

Institutions: TUM Klinikum, Technical University of Munich, Medical University of Graz, Averbis (Germany), University of Münster, Leipzig University, Friedrich-Alexander-Universität Erlangen-Nürnberg, Universitätsklinikum Erlangen

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: W7103900986

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