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Home Google Marketing

How Google AI helps improve heart health in rural Australia

Josh by Josh
March 12, 2026
in Google Marketing
0
How Google AI helps improve heart health in rural Australia


Australia is home to one of the world’s best healthcare systems, but where you live within the country is still a primary predictor of your health outcomes. In fact, people living in remote Australian communities are 60% more likely to die from heart disease than those living in metropolitan areas.

That’s why we’re partnering with some of Australia’s top health organizations on a new program. By combining Google’s AI with on-the-ground community care, we’re helping change how support is delivered to the people who need it most.

A partnership for preventative and proactive care

We’re proud to launch this initiative — a first for the Asia-Pacific region — alongside Wesfarmers Health and its SISU Health business, the Victor Chang Cardiac Research Institute and not-for-profit private health insurer Latrobe Health Services.

Supported by a $1 million AUD investment from Google Australia’s Digital Future Initiative (DFI), this collaboration uses Google for Health’s Population Health AI (PHAI). Currently a proof-of-concept available to select partners, PHAI acts as an advanced analytics engine that helps identify hidden health risks within communities. The goal is to equip our partners with insights that could help them shift from treating problems to proactively managing chronic condition risks.

Seeing the full picture with AI

Health is influenced by more than just doctor visits; it’s shaped by our environment, proximity to care, access to fresh food, the air we breathe, etc. To capture this complexity, PHAI uses Google Earth AI’s Population Dynamics Foundation Models (PDFM), alongside other key datasets like air quality, pollen and places insights that help connect the dots.

By analyzing diverse, de-identified and aggregated datasets — ranging from clinical records to geographic factors — the model uncovers hidden patterns at a community level while safeguarding individual privacy. This allows health organizations to move beyond a “one-size-fits-all” approach, tailoring interventions to the specific needs of a postcode or town.



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