Goal 3: Analytics and innovation

​​Timely and fit-for-purpose analytics inform our decision, actions and innovation

What will this mean?

Goal 3 is about using the right data, analytics tools and techniques to improve health outcomes, experiences and system performance, while ensuring NSW Health meets its responsibilities and obligations to the public.

  • Data are handled safely and responsibly to shape a more proactive, forward-looking health system for all.
  • Fit-for-purpose analytics are a part of our day-to-day and the right tools and techniques are applied in the right ways to strengthen insights.
  • NSW Health continues to work in partnership with clinicians, researchers, policymakers, industry and communities, to use data and analytics safely, responsibly and in ways that support local and enterprise-wide research and innovation to be translated into new solutions and models of care.
Descriptive (What happened? What is happening?) e.g. reports, alerts and KPI management. Diagnostic (Why did it happen? Why is it happening) e.g. causal analysis or correlation. Predictive (What might happen?) e.g. forecasting, simulation or predictive modelling. Prescriptive (What should we do about it?) e.g. optimisation and decision analytics
Types of analytics​.
A pyramid diagram with data at the base, leading up to information, knowledge and finally, wisdom.
Timely, fit-for-purpose analytics turning data into wisdom.

Why does this matter?

NSW Health holds data about individuals, services and populations; our workforce and operations (including corporate, infrastructure, finance, legal and compliance); and much more. From this data, we can generate powerful insights and valuable information – but this currently requires great manual effort from our people. Goal 3 is about getting the most out of the data held by NSW Health, with the right governance in place and the social licence from the community, to foster innovation, generate new knowledge and wisdom.

What is the work to b​e done?

  • Advanced analytics and AI.
  • Precision medicine and care.
  • Fit-for-purpose analytics.
  • Research and innovation.
Current as at: Monday 2 March 2026
Contact page owner: Enterprise Data Governance Enablement