TY - GEN
T1 - A semantic approach for the homogeneous identification of events in eight patient databases
T2 - 22nd International Conference on Medical Informatics Europe, MIE 2009
AU - Avillach, Paul
AU - Mougin, Fleur
AU - Joubert, Michel
AU - Thiessard, Frantz
AU - Pariente, Antoine
AU - Dufour, Jean Charles
AU - Trifirò, Gianluca
AU - Polimeni, Giovanni
AU - Catania, Maria Antonietta
AU - Giaquinto, Carlo
AU - Mazzaglia, Giampiero
AU - Baio, Gianluca
AU - Herings, Ron
AU - Gini, Rosa
AU - Hippisley-Cox, Julia
AU - Molokhia, Mariam
AU - Pedersen, Lars
AU - Fourrier-Réglat, Annie
AU - Sturkenboom, Miriam
AU - Fieschi, Marius
PY - 2009/1/1
Y1 - 2009/1/1
N2 - The overall objective of the eu-ADR project is the design, development, and validation of a computerised system that exploits data from electronic health records and biomedical databases for the early detection of adverse drug reactions. Eight different databases, containing health records of more than 30 million European citizens, are involved in the project. Unique queries cannot be performed across different databases because of their heterogeneity: Medical record and Claims databases, four different terminologies for coding diagnoses, and two languages for the information described in free text. The aim of our study was to provide database owners with a common basis for the construction of their queries. Using the UMLS, we provided a list of medical concepts, with their corresponding terms and codes in the four terminologies, which should be considered to retrieve the relevant information for the events of interest from the databases.
AB - The overall objective of the eu-ADR project is the design, development, and validation of a computerised system that exploits data from electronic health records and biomedical databases for the early detection of adverse drug reactions. Eight different databases, containing health records of more than 30 million European citizens, are involved in the project. Unique queries cannot be performed across different databases because of their heterogeneity: Medical record and Claims databases, four different terminologies for coding diagnoses, and two languages for the information described in free text. The aim of our study was to provide database owners with a common basis for the construction of their queries. Using the UMLS, we provided a list of medical concepts, with their corresponding terms and codes in the four terminologies, which should be considered to retrieve the relevant information for the events of interest from the databases.
KW - Database extraction
KW - Semantic interoperability
KW - Terminology
KW - UMLS
UR - https://www.scopus.com/pages/publications/72249088261
U2 - 10.3233/978-1-60750-044-5-190
DO - 10.3233/978-1-60750-044-5-190
M3 - Conference contribution
C2 - 19745295
AN - SCOPUS:72249088261
SN - 9781607500445
T3 - Studies in Health Technology and Informatics
SP - 190
EP - 194
BT - Medical Informatics in a United and Healthy Europe - Proceedings of MIE 2009
PB - IOS Press
Y2 - 30 August 2009 through 2 September 2009
ER -