Chitta Baral (Arizona State University), Simon de Lusignan (University of Surrey), Mark Harris, Louisa Jorm (UNSW), Michael Kahn (University of Colorado), Nigel Lovell (UNSW Biomedical Engineering)
Jitendra Jonnagaddala, Guan Guo, Kha Vo
Sanjay Farshid, Su Lin Yeoh, Mike Wu, Elizabeth Qian
The UNSW ePBRN has developed a data repository of linked pseudonymised patients derived from electronic health records of general practices and hospitals in an integrated health neighbourhood in SW Sydney. The Observational Health Data Science Informatics (OHDSI) community is an established international network of researchers and observational health databases with a central coordinating center housed at Columbia University (www.ohdsi.org). The Observational Medical Outcomes Program (OMOP) Common Data Model is central to OHDSI.
This project mapped observational data from the ePBRN dataset to similar data sets in the international EHR-derived datasets through the OMOP Common Data Model.
Siaw-Teng Liaw Phone: 0407818281 Email: firstname.lastname@example.org
UNSW Computer Science and Engineering, Centre for Big Data Research in Health, Kirby Institute, University of Surrey, University of Colorado, Arizona State University
UNSW Research Infrastructure Scheme