Name
Abstract | ||
|---|---|---|
We propose a semantic-driven architecture to improve EHR semantic interoperability. This architecture is constituted by five layers: structured heterogeneous data (i), as found in (un-)standardised clinical information models, which are consumed by a semantic mapping layer (ii), which links the data items to clinical ontologies via user-friendly content patterns. A semantic mediator (iii) then translates these content patterns into ontology-based annotations, which populate a virtual homogeneous data store (iv), which serves the application layer (v). |
Year | DOI | Venue |
|---|---|---|
2014 | 10.3233/978-1-61499-432-9-589 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
EHR,semantic interoperability,SNOMED CT,ontology | Ontology (information science),Data mining,Ontology,Application layer,Semantic mapping,Information retrieval,Computer science,Semantic interoperability,Information model,Semantics,Semantic computing | Conference |
Volume | ISSN | Citations |
205 | 0926-9630 | 5 |
PageRank | References | Authors |
0.49 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Catalina Martínez-Costa | 1 | 163 | 17.99 |
| Dipak Kalra | 2 | 106 | 16.24 |
| Stefan Schulz | 3 | 1092 | 127.03 |