This project aims to establish a national, research-ready hospital electronic medical record (EMR) Data Asset that will enhance data accessibility for rapid interrogation and evidence generation.

Data from hospital EMR will be transformed to an international gold standard Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM).

Tools, mappings and experience gained will be made openly available, and a community of practice and a roadmap for continued national implementation will be built. The Data Asset will significantly improve the quality, accessibility and feasibility of EMR data warehouses by streamlining data governance, consent and ethics. We will convert three existing data warehouses from Queensland Health, Austin Health and Western Health so that they can be accessed through a single interface.. Learnings from the Cerner conversions will then be applied to the conversion of other data warehouse platforms including the EPIC EMR system which will be investigated in collaboration with the Peter MacCallum Cancer Centre.

1 Foundation of a national health data asset common data model
Currently health information data is siloed in individual EMR systems. The OMOP common data model will harmonise this data and allow direct comparisons. A common data layer will allow standard queries to be run on the data and results shared between researchers.
2 Shared data assets enabling research
When a researcher wants to run standard analysis on a number of OMOP compliant datasets they will contact the data custodian at each centre to obtain permission. Once permission has been given a standard analysis script can be provided by the researcher and run on each data set. Results are generated and shared for research, but the actual underlying health information data does not leave the host institution.
3 A workforce skilled in the OMOP common data model.
The OMOP common data model is supported by high quality training resources. xtract, transform and load (ETL) workshops are provided by OHDSI Asia Pacific. Researchers are provided hands on training on preparing their health data for the common data model. The EHDEN Academy provides online training and assessment in the common data model via the learning management system Moodle. The annual OHDSI International Symposium provides training and collaboration opportunities for researchers.

Core features

Research Ready
This project will deliver a research ready hospital electronic medical record (EMR) Data asset that will enhance national accessibility.
Population health insights
Researchers will have access that will enable rapid interrogation of the data asset. The result will be evidence-based generation of population health insights.
The health dataset will adopt standards to be Findable, Accessible, Interoperable and Reusable (FAIR).
The FAIR EMR asset will enable collaboration between national and international research groups.

Who is this project for?

  • Peak bodies
  • Research organisations
  • Commercial providers
  • Government (state and commonwealth)
  • Pharmaceutical research

What does this project enable?

In Australia, EMR data warehouses for audit, research and surveillance exist, however, they have variable standards. Increasingly we wish to utilise health data across organisational boundaries, presenting challenges regarding data standards, linkage and governance. Converting EMR to one common data model (CDM) will open up this data for collaborative use.

The University of MelbourneVisit
University of South Australia and in collaboration with Health Translation SAVisit
UNSW Sydney,WHO Collaborating Centre on eHealth Visit
Queensland HealthVisit
Centre for Health Services, University of QueenslandVisit
Sydney Local Health Area District Health Informatics Unit
UNSW and in collaboration with SPHERE Advanced Health Research Translation Centre Centre for Big Data Research in Health, Faculty of MedicineVisit
The Austin Hospital, Victoria Office of the Chief Medical Information OfficerVisit
Victorian Comprehensive Cancer Centre (VCCC) Visit
Western Health, MelbourneVisit
Peter MacCallum Cancer CentreVisit
Brisbane Diamantina Health Partners Advanced Health Research Translation Queensland Advanced Health Research Translation CentreVisit