Implementing a scalable platform to enable data-driven digital health research and development
- AdminSuper (Propel) 001
- 4 days ago
- 1 min read
[EXTERNAL ARTICLE]
"The industry problem/opportunity
World-leading cancer research, education and treatment institution Peter MacCallum Cancer Centre provides co-ordinated and comprehensive cancer care.
As with many large healthcare organisations, even those with a comprehensive Electronic Medical Record, patient data is stored across a number of systems. The separate mechanisms for capturing and storing patient data in a range of formats can limit the utility of these comprehensive datasets in research and development activities. Without the optimum infrastructure to manage data sharing, projects can take longer, and cost more.
The research
In 2022, the Digital Health CRC (DHCRC) brought together Swinburne University of Technology (Swinburne), Peter MacCallum Cancer Centre (Peter Mac) and Propel Health AI (Propel) for a collaborative data management project in two phases.
The first phase involved testing the Propel platform, which aims to provide a cloud-based analytics platform to accelerate clinical research and development workflows.
Aggregating multimodal datasets from selected source systems, the Propel platform ensures data is harmonised to an interoperable data model (FHIR), shared securely with controlled access to data contained within the platform’s Trusted Research Environment (TRE), and maintains privacy through the de-identification of all health records.
Professor Christopher Fluke from Swinburne University of Technology says this initiative presented a unique opportunity to bring a diverse data set together on one scalable platform for data-driven research and development."
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