Semantics in action: a guide for representing clinical data elements with SNOMED CT
This work provides a practical framework for semantic representation using SNOMED CT, enabling greater accuracy and consistency by promoting a common method. While addressing challenges of large-scale implementation, the guide supports the drive from data centric models to a semantic centric approach, leveraging interoperability and more effective reuse of clinical data.
Authors
- Christian Lovis (ORCID: https://orcid.org/0000-0002-2681-8076)
- Julien Ehrsam (ORCID: https://orcid.org/0000-0003-1506-558X)
- Christophe Gaudet-Blavignac (ORCID: https://orcid.org/0000-0001-6527-5898)
- Mirjam Mattei (ORCID: https://orcid.org/0009-0009-4158-1247)
- Monika Baumann
Institutions
- University of Geneva (CH)
- University Hospital of Geneva (CH)
- University of Lausanne (CH)
Publication Details
- Journal
- Journal of Biomedical Semantics
- Published
- 2025-03-27
- DOI
- https://doi.org/10.1186/s13326-025-00326-5
- Citations
- 3
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- Université de Genève