title: Improving EHR semantic interoperability: future vision and challenges.
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).
authors.affiliation: IMI, Medical University of Graz, Austria.
authors.forename: Catalina
authors.initials: C
authors.lastname: Martínez-Costa
authors.affiliation: CHIME, University College London, UK.
authors.forename: Dipak
authors.initials: D
authors.lastname: Kalra
authors.affiliation: IMI, Medical University of Graz, Austria.
authors.forename: Stefan
authors.initials: S
authors.lastname: Schulz
mesh_terms: D057286:Electronic Health Records / Q000592:standards* / Q000639:trends*; D005544:Forecasting; D016247:Information Storage and Retrieval / Q000379:methods* / Q000592:standards*; D008498:Medical Record Linkage / Q000379:methods* / Q000592:standards*; D012660:Semantics; D039061:Systematized Nomenclature of Medicine