Populating the i2b2 Database with Heterogeneous EMR Data- a Semantic Network Approach (final)

نویسندگان

  • Sebastian Mate
  • Thomas Bürkle
  • Felix Köpcke
  • Bernhard Breil
  • Bernd Wullich
  • Martin Dugas
  • Hans-Ulrich Prokosch
  • Thomas Ganslandt
چکیده

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.

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تاریخ انتشار 2012