How AI is helping improve heart health in rural Australia

Google AI Blog News

Summary

Google is launching a new AI initiative in partnership with Australian health organizations to improve heart health outcomes in rural and remote communities, using Population Health AI (PHAI) to identify hidden health risks and enable proactive chronic disease management.

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/AIHealth_v2_2096x1182_02.max-600x600.format-webp.webp">A new Google AI initiative aims to improve heart health outcomes for people living in remote Australian communities.
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# How AI is helping improve heart health in rural Australia Source: https://blog.google/innovation-and-ai/technology/health/google-ai-heart-health-australia/ Your browser does not support the audio element. Listen to article This content is generated by Google AI. Generative AI is experimental [[duration]] minutes 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 are60% more likely (https://ruraldoctorsfoundation.org.au/heart-disease/)to die from heart disease than those living in metropolitan areas.1 (https://blog.google/innovation-and-ai/technology/health/google-ai-heart-health-australia/#footnote-1) 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 — alongsideWesfarmers Health (https://www.wesfarmers.com.au/our-businesses/wesfarmers-health)and itsSISU Health (https://www.sisuhealthgroup.com/)business, theVictor Chang Cardiac Research Institute (https://www.victorchang.edu.au/?gad_source=1&gad_campaignid=1075861874&gbraid=0AAAAADCIdnWsAFpD3oekpHKSCJM4QnXTF&gclid=Cj0KCQiA6sjKBhCSARIsAJvYcpMxQebX9hT1HNAGqYffK7WrSsfkcKOfJ2Nd1sn1TmzKeq9g3RmV1ykaAjHyEALw_wcB)and not-for-profit private health insurerLatrobe Health Services (https://www.latrobehealth.com.au/cover-selector/?state=VIC&type=single&gad_source=1&gad_campaignid=22018179055&gbraid=0AAAAADKB5fboTA4xsAGQx3dI8b8JVF9rq&gclid=Cj0KCQiA6sjKBhCSARIsAJvYcpMxsDGRI4Trf-mjUX1DBzxp9RCtMPqB9xhKPGXspUQDuOgHHLlhjOgaAt28EALw_wcB). Supported by a $1 million AUD investment fromGoogle Australia’s Digital Future Initiative (https://blog.google/company-news/inside-google/around-the-globe/google-asia/australia-digital-future/)(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 GoogleEarth AI's (https://ai.google/earth-ai/)Population Dynamics Foundation Models (https://research.google/blog/google-earth-ai-unlocking-geospatial-insights-with-foundation-models-and-cross-modal-reasoning/)(PDFM), alongside otherkey Google Maps Platform datasets (https://mapsplatform.google.com/maps-products/geospatial-analytics/)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. Modeled using aggregated and publicly available data ## Bringing screenings to where they’re needed most This technology will lead to real-world action. Supported by the DFI, SISU Health plans to conduct over 50,000 new health screenings in remote areas. SISU Health will also use PHAI to analyze trends across its unique dataset of de-identified and consented records. Combining this data with the new screenings — all with user consent — will help us better understand local health challenges and propose tailored interventions. ## A future without barriers Our goal is simple: to promote health wherever people live. By combining Google’s AI capabilities with the deep clinical expertise of our partners, we’re working toward a future where every Australian has access to the personalized care they deserve. ## Get more stories from Google in your inbox. Done. Just one step more. Check your inbox to confirm your subscription. You are already subscribed to our newsletter. You can also subscribe with a

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