TY - GEN
T1 - The ONCO-I2b2 project
T2 - 23rd International Conference of the European Federation for Medical Informatics, MIE 2011
AU - Segagni, Daniele
AU - Tibollo, Valentina
AU - Dagliati, Arianna
AU - Perinati, Leonardo
AU - Zambelli, Alberto
AU - Priori, Silvia
AU - Bellazzi, Riccardo
PY - 2011/1/1
Y1 - 2011/1/1
N2 - The University of Pavia and the IRCCS Fondazione Salvatore Maugeri of Pavia (FSM), has recently started an IT initiative to support clinical research in oncology, called ONCO-i2b2. ONCO-i2b2, funded by the Lombardia region, grounds on the software developed by the Informatics for Integrating Biology and the Bedside (i2b2) NIH project. Using i2b2 and new software modules purposely designed, data coming from multiple sources are integrated and jointly queried. The core of the integration process stands in retrieving and merging data from the biobank management software and from the FSM hospital information system. The integration process is based on a ontology of the problem domain and on open-source software integration modules. A Natural Language Processing module has been implemented, too. This module automatically extracts clinical information of oncology patients from unstructured medical records. The system currently manages more than two thousands patients and will be further implemented and improved in the next two years.
AB - The University of Pavia and the IRCCS Fondazione Salvatore Maugeri of Pavia (FSM), has recently started an IT initiative to support clinical research in oncology, called ONCO-i2b2. ONCO-i2b2, funded by the Lombardia region, grounds on the software developed by the Informatics for Integrating Biology and the Bedside (i2b2) NIH project. Using i2b2 and new software modules purposely designed, data coming from multiple sources are integrated and jointly queried. The core of the integration process stands in retrieving and merging data from the biobank management software and from the FSM hospital information system. The integration process is based on a ontology of the problem domain and on open-source software integration modules. A Natural Language Processing module has been implemented, too. This module automatically extracts clinical information of oncology patients from unstructured medical records. The system currently manages more than two thousands patients and will be further implemented and improved in the next two years.
KW - Biobanks
KW - Hospital information system integration
KW - I2B2
KW - Natural language processing
KW - Oncology research
KW - Translational research
UR - http://www.scopus.com/inward/record.url?scp=83055179447&partnerID=8YFLogxK
U2 - 10.3233/978-1-60750-806-9-887
DO - 10.3233/978-1-60750-806-9-887
M3 - Conference contribution
AN - SCOPUS:83055179447
SN - 9781607508052
T3 - Studies in Health Technology and Informatics
SP - 887
EP - 891
BT - User Centred Networked Health Care - Proceedings of MIE 2011
PB - IOS Press
Y2 - 28 August 2011 through 31 August 2011
ER -