title: Populating the i2b2 database with heterogeneous EMR data: a semantic network approach.
abstract: In an ongoing effort to share heterogeneous electronic medical record (EMR) data in an i2b2 instance between the University Hospitals Münster and Erlangen for joint cancer research projects, an ontology based system for the mapping of EMR data to a set of common data elements has been developed. The system translates the mappings into local SQL scripts, which are then used to extract, transform and load the facts data from each EMR into the i2b2 database. By using Semantic Web standards, it is the authors' goal to reuse the laboriously compiled "mapping knowledge" in future projects, such as a comprehensive cancer ontology or even a hospital-wide clinical ontology.
authors: University Erlangen-Nuremberg, Erlangen, Germany. Sebastian.Mate@imi.med.uni-erlangen.de
authors: Sebastian
authors: S
authors: Mate
authors: Thomas
authors: T
authors: Bürkle
authors: Felix
authors: F
authors: Köpcke
authors: Bernhard
authors: B
authors: Breil
authors: Bernd
authors: B
authors: Wullich
authors: Martin
authors: M
authors: Dugas
authors: Hans-Ulrich
authors: HU
authors: Prokosch
authors: Thomas
authors: T
authors: Ganslandt
mesh_terms: D000465:Algorithms; D003195:Computer Communication Networks; D057286:Electronic Health Records; D006751:Hospital Information Systems; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D008490:Medical Informatics / Q000379:methods; D011381:Programming Languages; D012660:Semantics; D012984:Software; D018511:Systems Integration; D018875:Vocabulary, Controlled