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Research and Development Matrix



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Flagship Programs

A health ecosystem Flagship Program is made up of several linked projects.  Flagship Programs are the direct output of a codesign process of iterative development with multi-stakeholder reference groups and our research team.  They focus on areas of demonstrated industry need within the health system for a targeted and collaborative program of work supported by data and digital technology.  Flagship Programs provide a framework for the development of substantial linked projects and will often extend across cells in the Research and Development Matrix.

From the outputs of the workshops and from ongoing consultation, an initial seven Flagship Programs have been developed.  Four of these are cross-cutting and three are of special interest and relate to specific settings of care.

To maximise return on investment and impact we will look to develop multi-participant projects spanning our Flagship Programs where possible.  However, our intention is to commence with a series of smaller projects that will link up to form the foundation for our Flagship Programs.

Settings of CareFlagshipSummary
across all
Settings of Care
Changing health
trajectories in chronic

Use different data sets to identify populations who have or are at risk of developing chronic disease.
Provide personalised models of care, digitally- supported behavioural interventions and end-to-end
management. Avoid unnecessary hospital admissions and empower people to manage their own
health and wellness.
Transparency of data
to optimise clinical
practice and referral
Use health care, administrative and other data to measure and understand clinical variation and
practice; support reflection andpersonalised professional development; support appropriate
consumer referral; and drive efficiency through payment and claims optimisation.
Intelligent decision
support to improve
value and efficiency
Use comprehensive data and information across care continuum tounderstand consumer risk and
organisational performance. Provide intelligence to consumers, clinicians, managers and
administrators to predict and prevent poor outcomes and low-value care. E.g., improve quality use
of medications. Support resource allocation and business efficiency.
Enabling information
discovery and
Explore issues surrounding ethics, governance and privacy of linking and using health data.
Development of targeted tools resources to support and facilitate health data sharing and
application in practice, quality improvement, trials and research.
Rural & RemoteChanging health
trajectories in chronic
disease in rural and
remote settings
Address issues that are specific to rural and remote including access, maintaining viable healthcare
services, integrating social determinants of health, overcoming technology challenges, reducing
digital divide and co-designing culturally appropriate programs.
following injury
or trauma
Digitally coordinated
and supported
Use comprehensive data following injury and link with previous history to predict risk and improve
outcomes of rehabilitation. Deliver personalised, technology-supported interventions with portals
that support communication between care providers and with clients and family
Residential and
Assisted Aged
Digitally supported
and coordinated aged
care management
Use resident, service and clinical data to improve quality, reporting and business efficiency.
Support coordinated, shared care and resident quality of life through personal and family portals.
Provide real-time dashboards and knowledge to support continuous quality improvement and
decision support.