Interoperability driven integration of biomedical data sources

Teodoro, Douglas; Choquet, Rémy; Schober, Daniel; Mels, Giovanni; Pasche, Emilie; Ruch, Patrick; Lovis, Christian

doi:10.3233/978-1-60750-806-9-185

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Title		Interoperability driven integration of biomedical data sources
Authors		Teodoro, Douglas Choquet, Rémy Schober, Daniel Mels, Giovanni Pasche, Emilie Ruch, Patrick Lovis, Christian
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/microbiology — Data Collection/methods — Database Management Systems — Databases, Factual — Europe — Humans — Information Storage and Retrieval/methods — Internet — Medical Informatics/methods — Natural Language Processing — Programming Languages — Semantics — Systems Integration — Terminology as Topic — Vocabulary, Controlled
Identifiers		DOI: 10.3233/978-1-60750-806-9-185 PMID: 21893739
Full text		Article (Published version) (346 Kb) - Free access
Structures		Faculté de médecine / Section de médecine clinique / Département de radiologie et informatique médicale
Research group		Interfaces Homme-machine en milieu clinique (610)
Citation (ISO format)		TEODORO, Douglas et al. Interoperability driven integration of biomedical data sources. In: Studies in health technology and informatics, 2011, vol. 169, p. 185-9. doi: 10.3233/978-1-60750-806-9-185 https://archive-ouverte.unige.ch/unige:21588