Transformational Data Collaboration
Professor Douglas BoyleFull Bio
Data Driven Healthcare ImprovementLearn more
The University of Melbourne
The unique open and collaborative nature of AHRA is harnessed to develop and progress this national data initiative in an inclusive and non-competitive environment.
The collaboration is led by Professor Douglas Boyle, University of Melbourne, on behalf of MACH. This is an open, inclusive collaboration and additional stakeholders will join as the program of work progresses.
Current collaborators can be seen here.
A sub-committee reports to the AHRA Data Driven Healthcare Improvement (DDHCI) Committee. An Advisory Committee and the AHRA DDHCI Committee will advise the sub-committee as required.
For further details see the Terms of Reference.
Current initiatives within the TDC program of work:
Development of Research Terminologies Australia (RosetTA) with Australian Research Data Commons (ARDC)
The ARDC in conjunction with the AHRA Transformational Data Collaboration are investigating the potential to develop tools to support the open sharing and curation of custom medical terminologies, terminology mappings and phenotypes. The aim is to build a service that allows non-technical communities of practice and research groups to build, curate and deploy such mappings and phenotypes promoting transparency and consensus in definitions and facilitating their re-use at a national level.
This service, building on existing advanced national terminology infrastructure – ‘Ontoserver’ is provisionally called Research Terminologies Australia (RosetTA).
EMRs to OMOP
In 2020 the TDC received funding from the ARDC for Hospital EMR data as a National Data Asset for Research (10.47486/PS014). 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 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. The project’s outcome is a CDM platform, converting three Cerner-based data warehouses: Queensland Health ( State Public Health Hospital EMR), Austin Health and Western Health (Melbourne EMR). 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.
Further details can be found on the project blog.
White Bandicoot quality assessment tool
A tool for assessing the quality of EMR datasets is under development. It will connect to SQL databases and run standard quality metrics, with a web reporting interface. Version 1 will be available shortly.
Patron conversion to OMOP
The Patron primary care dataset has been mapped to the OMOP common data model. We are currently preparing test use cases to validate the dataset. This work is funded via University of Melbourne Department of General Practice in close collaboration with the TDC.
The TDC team are actively involved in continued development of OHDSI Australia. Roger Ward is a board member and Treasurer, and Professor Douglas Boyle is a Board member. A webinar series is available on OHDSI Australia Website.
Register for OHDSI Australia teams here.
This collaboration shall provide unique and on-going tools and methods to advance national data integration for research, in-line with FAIR principles. Accelerating data integration shall stimulate collaborative research and ignite our ability to improve the health of Australians.