Project Status

Completed Projects

Chief Investigator

Siaw-Teng Liaw

Project Team

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)

Research Staff

Jitendra Jonnagaddala, Guan Guo, Kha Vo

Medical Student

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 ( 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.


  1. Liyanage H, Liaw ST, Jonnagaddala J, de Lusignan S. Common Data Models (CDMs) to enhance Big Data Analytics: A Diabetes Use Case to Compare Three CDMs. Stud Health Tech & Informatics 2018; 255: 60-64.
  2. Farshid S, Jonnagaddala J, Guan G, Wu M, Liaw ST. (2018). Harmonising primary care data using international standard vocabularies for observational research. Zenodo.
  3. Kha A, Jonnagaddala J, Liaw ST. Supervised meta-ensemble algorithm for data linkage (under revision – J Biomedical Informatics)
  4. Guo G, Jonnagaddala J, Liaw ST. Cohort Selection for Clinical Trials Using Multiple Instance Learning (under review - JAMIA)


Siaw-Teng Liaw Phone: 0407818281 Email:

Key Partners

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

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Informatics and eHealth
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