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Selected Publication:

SHR Neuro Cancer Cardio Lipid

Martínez-Costa, C; Kalra, D; Schulz, S.
Improving EHR semantic interoperability: future vision and challenges.
Stud Health Technol Inform. 2014; 205(44):589-593


Authors Med Uni Graz:
Martinez Costa Catalina
Schulz Stefan

Dimensions Citations:

Plum Analytics:
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).
Find related publications in this database (using NLM MeSH Indexing)
Electronic Health Records - standards
Electronic Health Records - trends
Forecasting -
Information Storage and Retrieval - methods
Information Storage and Retrieval - standards
Medical Record Linkage - methods
Medical Record Linkage - standards
Semantics -
Systematized Nomenclature of Medicine -

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