title: Interoperability driven integration of biomedical data sources.
abstract: In this paper, we introduce a data integration methodology that promotes technical, syntactic and semantic interoperability for operational healthcare data sources. ETL processes provide access to different operational databases at the technical level. Furthermore, data instances have they syntax aligned according to biomedical terminologies using natural language processing. Finally, semantic web technologies are used to ensure common meaning and to provide ubiquitous access to the data. The system's performance and solvability assessments were carried out using clinical questions against seven healthcare institutions distributed across Europe. The architecture managed to provide interoperability within the limited heterogeneous grid of hospitals. Preliminary scalability result tests are provided.
authors: SIMED, University Hospitals of Geneva, Geneva, Switzerland. douglas.teodoro@hcuge.ch
authors: Douglas
authors: D
authors: Teodoro
authors: Rémy
authors: R
authors: Choquet
authors: Daniel
authors: D
authors: Schober
authors: Giovanni
authors: G
authors: Mels
authors: Emilie
authors: E
authors: Pasche
authors: Patrick
authors: P
authors: Ruch
authors: Christian
authors: C
authors: Lovis
mesh_terms: D003428:Cross Infection / Q000453:epidemiology / Q000382:microbiology; D003625:Data Collection / Q000379:methods*; D003628:Database Management Systems; D016208:Databases, Factual; D005060:Europe; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D008490:Medical Informatics / Q000379:methods*; D009323:Natural Language Processing; D011381:Programming Languages; D012660:Semantics; D018511:Systems Integration; D009626:Terminology as Topic; D018875:Vocabulary, Controlled