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Title

Interoperability driven integration of biomedical data sources

Authors
Choquet, Rémy
Schober, Daniel
Mels, Giovanni
Published in Studies in Health Technology and Informatics. 2011, vol. 169, p. 185-9
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.
Keywords Cross Infection/epidemiology/microbiologyData Collection/methodsDatabase Management SystemsDatabases, FactualEuropeHumansInformation Storage and Retrieval/methodsInternetMedical Informatics/methodsNatural Language ProcessingProgramming LanguagesSemanticsSystems IntegrationTerminology as TopicVocabulary, Controlled
Identifiers
PMID: 21893739
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Article (Published version) (346 Kb) - public document Free access
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Research group Interfaces Homme-machine en milieu clinique (610)
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(ISO format)
TEODORO, Douglas Henrique et al. Interoperability driven integration of biomedical data sources. In: Studies in Health Technology and Informatics, 2011, vol. 169, p. 185-9. https://archive-ouverte.unige.ch/unige:21588

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Deposited on : 2012-06-13

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