RadLex and SNOMED CT integration: a pilot study for standardising radiology classification
A universal radiology procedure model to enhance capture would be valuable. A tool to facilitate technical and semantic interoperability for efficient data exchange in healthcare was created. This system could pave the way for futher advancements in healthcare interoperability.
Authors
- Igor Bossenko (ORCID: https://orcid.org/0000-0003-1163-5522)
- Peeter Ross (ORCID: https://orcid.org/0000-0003-1072-7249)
- M. Susan Marquis (ORCID: https://orcid.org/0009-0000-8609-8923)
Institutions
- Tallinn University of Technology (EE)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2025-03-13
- DOI
- https://doi.org/10.1186/s13244-025-01935-5
- Citations
- 3
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 2.42