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Australia is home to one of the world\u2019s 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.<\/p>\n
That\u2019s why we\u2019re partnering with some of Australia’s top health organizations on a new program. By combining Google\u2019s AI with on-the-ground community care, we\u2019re helping change how support is delivered to the people who need it most.<\/p>\n
We\u2019re proud to launch this initiative \u2014 a first for the Asia-Pacific region \u2014 alongside Wesfarmers Health and its SISU Health business, the Victor Chang Cardiac Research Institute and not-for-profit private health insurer Latrobe Health Services.<\/p>\n
Supported by a $1 million AUD investment from Google Australia\u2019s Digital Future Initiative (DFI), this collaboration uses Google for Health\u2019s 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.<\/p>\n
Health is influenced by more than just doctor visits; it\u2019s 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.<\/p>\n
By analyzing diverse, de-identified and aggregated datasets \u2014 ranging from clinical records to geographic factors \u2014 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.<\/p>\n<\/div>\n