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AMIA Summits Transl Sci Proc. 2012; 2012: 105.
Published online Mar 19, 2012.
PMCID: PMC3392051
Towards to an Oncology Database (ONCOD) using a data warehousing approach
Xiaoming Wang, Ph.D,1* Lili Liu, MS,1 James Fackenthal, Ph.D.,2 Paul Chang, MD,3 Gilliam Newstead, MD,3 Steven Chmura, MD,4 Ian Foster, Ph.D.,1 and Olufunmilayo I Olopade, MD2*
1Computation Institute, University of Chicago and Argonne National Laboratory;
2Department of Medicine
3Department of Radiology
4Department of Radiation Oncology, University of Chicago
Corresponding Authors: Xiaomng Wang: xiaoming/at/uchicago.edu; Olufunmilayo I Olopade: folopade/at/medicine.bsd.uchicago.edu
Abstract
While data warehousing approaches have been increasingly adopted in the biomedical informatics community for individualized data integration, effectively dealing with data integration, access, and application remains a challenging issue. In this report, focusing on ontology data, we describe how to use an established data warehouse system, named TRAM, to provide a data mart layer to address this issue. Our effort has resulted in a twofold achievement: 1) a model data mart tailored to facilitate oncology data integration and application (ONCOD), and 2) a flexible system architecture that has potential to be customized to support other data marts for various major medical fields.
Articles from AMIA Summits on Translational Science Proceedings are provided here courtesy of
American Medical Informatics Association