Data-Driven Healthcare Improvement
The committee drives improvements required to underpin an effective learning health system across MACH partner hospitals, with a focus on developing processes and frameworks to facilitate the re-use of routinely collected clinical data for secondary purposes. The Data-Driven Healthcare Improvement committee has been reshaped to steer the Data to Knowledge activities within the University of Melbourne Centre for Digital Transformation of Health. The committee has breadth of expertise in informatics and computing, plus representation from groups undertaking similar work at MACH partner hospitals. A Data Users Reference Group comprising clinicians and researchers provide support as required.
Chair
MACH SUPPORT
Lauren Wallis
Email
Priorities of the Data-Driven Healthcare Improvement committee:
- Define principles, processes, and guidelines to achieve clear pathways to accessing data in practice
- Develop a MACH Data Accord built on existing resources to align data access across MACH partners
- Leverage learnings from relevant success cases nationally and internationally to inform local activities
| Name: | Affiliations: | Bio: |
|---|---|---|
| Professor Rinaldo Bellomo | Austin Health, University of Melbourne | Full bio |
| Professor Douglas Boyle | University of Melbourne | Full bio |
| Dr Daniel Capurro | University of Melbourne | Full bio |
| Dr Oliver Daly | Western Health | Full bio |
| Dr Noel Faux | University of Melbourne | Full bio |
| Kate Lucas | Royal Children's Hospital | Full bio |
| Helena Lynn | University of Melbourne | Full bio |
| Tristan Melchiori | Royal Children's Hospital | Full bio |
| Dr Douglas Pires | University of Melbourne | Full bio |
| Dr Megan Prictor | University of Melbourne | Full bio |
| Alan Pritchard | Austin Health | Full bio |
| Maureen Turner | BioGrid Australia | Full bio |
-
Consolidation of record linkage algorithms in Victoria and beyond
Read more of the Consolidation of record linkage algorithms in Victoria and beyond -
Clinical and Research Dataset Catalogue
Read more of the Clinical and Research Dataset Catalogue -
Transformational Data Collaboration
Read more of the Transformational Data Collaboration
-
9 nodes announced for the national health studies data infrastructure
Read more of the 9 nodes announced for the national health studies data infrastructure