| Autor: |
Chytas A; Institute of Applied Biosciences, Centre for Research and Technology Hellas, Greece.; School of Informatics, Aristotle University of Thessaloniki, Greece., Bassileiades N; School of Informatics, Aristotle University of Thessaloniki, Greece., Natsiavas P; Institute of Applied Biosciences, Centre for Research and Technology Hellas, Greece. |
| Jazyk: |
angličtina |
| Zdroj: |
Studies in health technology and informatics [Stud Health Technol Inform] 2024 Aug 22; Vol. 316, pp. 1406-1410. |
| DOI: |
10.3233/SHTI240674 |
| Abstrakt: |
Real-world data (RWD) (i.e., data from Electronic Healthcare Records - EHRs, ePrescription systems, patient registries, etc.) gain increasing attention as they could support observational studies on a large scale. OHDSI is one of the most prominent initiatives regarding the harmonization of RWD and the development of relevant tools via the use of a common data model, OMOP-CDM. OMOP-CDM is a crucial step towards syntactic and semantic data interoperability. Still, OMOP-CDM is based on a typical relational database format, and thus, the vision of a fully connected semantically enriched model is not fully realized. This work presents an open-source effort to map the OMOP-CDM model and the data it hosts, to an ontological model using RDF to support the FAIRness of RWD and their interlinking with Linked Open Data (LOD) towards the vision of the Semantic Web. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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