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dc.rights.licenseopenen_US
dc.contributor.authorBOUZILLE, G.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorJOUHET, Vianney
dc.contributor.authorTURLIN, B.
dc.contributor.authorCLEMENT, B.
dc.contributor.authorDESILLE, M.
dc.contributor.authorRIOU, C.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorHAJJAR, Moufid
dc.contributor.authorDELAMARRE, D.
dc.contributor.authorLE QUILLEUC, D.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorTHIESSARD, Frantz
dc.contributor.authorCUGGIA, M.
dc.date.accessioned2020-10-26T14:45:21Z
dc.date.available2020-10-26T14:45:21Z
dc.date.issued2018
dc.identifier.issn0926-9630 (Print) 0926-9630en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/11479
dc.description.abstractEnDevelopment of biobanks is still hampered by difficulty to collect high quality sample annotations using patient clinical information. The IBCB project evaluated the feasibility of a nationwide clinical data research network for this purpose. METHOD: the infrastructure, based on eHOP and I2B2 technologies, was interfaced with the legacy IT components of 3 hospitals. The evaluation focused on the data management process and tested 5 expert queries in Hepatocarcinoma. RESULTS: the integration of biobank data was comprehensive and easy. Five out of 5 queries were successfully performed and shown consistent results with the data sources excepted one query which required to search in unstructured data. The platform was designed to be scalable and showed that with few effort biobank data and clinical data can be integrated and leveraged between hospitals. Clinical or phenotyping concepts extraction techniques from free text could significantly improve the samples annotation with fine granularity information.
dc.language.isoENen_US
dc.rightsAttribution-NonCommercial 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/us/*
dc.subject.enERIAS
dc.title.enIntegrating Biobank Data into a Clinical Data Research Network: The IBCB Project
dc.title.alternativeStud Health Technol Informen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.3233/978-1-61499-852-5-16en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed29677914en_US
bordeaux.journalStudies in health technology and informaticsen_US
bordeaux.page16-20en_US
bordeaux.volume247en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - U1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.exportfalse
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