Good morning future-focused leaders.

Lately, I’ve been having similar conversations in aged care circles: how do we use AI responsibly, without leaving our teams to figure it out alone? A recent global study found that 47% of workers have used AI inappropriately, and more than half have made mistakes because of that. That’s why we’re putting together a free webinar on practical AI guidelines for our sector—it offers a clear, step-by-step approach to getting this right in our own organisations.

Read more under the Community section of this issue, and make sure you register today. 

What else we cover this week:

• Translate any video into multiple languages with HeyGen

• AI foot scanner predicts heart failure before symptoms worsen

• Under-resourced clinics collaborate on AI adoption

• AI-powered “nose” detects incontinence for dementia care

• And more...

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READY TO USE TODAY 

🌍 Translate any video into multiple languages with AI

Overview: This walkthrough shows you how to use HeyGen’s AI-powered video translation tool to convert videos into various languages—while keeping the original speaker’s voice and syncing the lips naturally. In this example, I took a classic moment—former Prime Minister Scott Morrison being asked to kindly vacate someone’s lawn—and gave it a multilingual makeover by translating it into Greek. Same awkward moment, just in another language!

Steps to follow:

• Visit HeyGen’s website and choose “Translate a Video” from the dashboard (see snapshot above)

• Upload a video file or enter a YouTube/Google Drive URL

• Select your source and target languages, then adjust advanced settings like duration syncing, subtitles, voice clarity, and music removal

• Hit “Generate” to produce your translated video

Tip: For best results, use videos with good audio and clear visuals to enhance voice and lip-sync accuracy.

How to use it: You can use this tool to translate existing informational videos you already have on file—making it easier to share important content with diverse language communities. Whether it's health guidance, aged care resources, or promotional videos, this approach helps ensure accessibility and inclusivity across linguistic groups.

THE FUTURE OF AGED CARE

🦶 AI foot scanner predicts heart failure almost two weeks prior

In brief: A new AI-powered foot scanner monitors ankle swelling and can accurately predict heart failure up to 13 days before the person requires emergency care.

The details:

• Developed by UK-based Heartfelt Technologies, the scanner monitors fluid build-up in the feet (oedema)—a key sign that heart failure may be worsening.

• The scanner captures 1,800 images per minute from multiple angles, using AI to model foot volume changes.

• Alerts are triggered when foot volume exceeds a set threshold, notifying a heart failure nurse remotely.

• In a six-month study involving 26 patients across five NHS trusts, the device predicted 5 out of 6 heart-related hospitalisations up to 19 days in advance.

• 82% of participants chose to keep the device after the study concluded.

Why it matters: Heart failure affects up to 2% of Australians, and fluid retention in the lower limbs is often a precursor to serious complications. Early detection can mean the difference between recovery at home and an emergency hospitalisation. AI tools like this scanner can offer a vital safety net—especially for older adults managing chronic conditions independently. By acting like a “virtual nurse,” it bridges a gap in home-based monitoring and brings proactive care into the everyday lives of patients.

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🤝 Small health providers unite to tackle AI together – A group of five under-resourced clinics and hospitals in the US State of Arizona are collaborating to explore AI tools together. With limited internal capacity and limited budgets, they’re sharing lessons and receiving expert guidance through a partnership they established. Their experience shows that collective learning may be key for small organisations (including aged care organisations here in Australia) navigating AI adoption.

🧪 AI smell tech to support dementia care – Ainos, a US-based medical tech company, has developed an AI-powered “nose” that detects incontinence odours with 85% accuracy. Trained on data from Japan and Taiwan, the system is designed to support hygiene monitoring in aged care. It could be especially useful for residents with dementia, who may not communicate discomfort. A pilot is planned for later this year, with broader rollout in 2026.

🧓🏽 Inclusive design is key to ageing futures – From Korea to India, there’s a growing push to recognise older adults as active users of technology, services and digital platforms, not just care recipients. Age-inclusive design is gaining ground—yet many systems still exclude older people due to outdated assumptions or biased data. However, with increasing digital engagement and high spending power, this group can no longer be overlooked.

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PODCAST

🚀 From Policy to Practice: AI Guidelines in Aged Care

Free Online Session – 17 July 2025, 11am–12pm (AEST) - Register here

As AI tools become embedded in aged care operations, providers must ensure their use is safe, ethical, and aligned with sector standards. This one-hour session, organised by the AI Adoption in Aged Care Workgroup, introduces a practical framework for adopting AI in line with the Strengthened Aged Care Standards. Learn how to assess organisational readiness, involve the right stakeholders, and implement AI with confidence.

All attendees will receive:

• A customisable AI Guidelines Template

• A step-by-step implementation guide for internal use, policy development, and review

Why This Matters:

A global study by KPMG and the University of Melbourne found that while 58% of workers intentionally use AI—and report gains in efficiency and innovation—misuse is widespread.
– 47% admitted to using AI inappropriately
– 63% observed others doing the same
– 66% relied on AI output without checking it
– 56% made mistakes due to AI

(Source: The Conversation, April 2025)

These findings highlight the urgent need for clear, accessible guidelines that support safe and responsible AI use in aged care.

Who Should Attend:

Executives, quality and risk managers, innovation leads, team leaders, and digital transformation staff working in aged care or related services.

I'm not here to hype AI. I'm here to help you understand it, use it, and learn as it evolves. Whether you're testing a new tool, using it to lighten your workload, or keeping pace with the changes, I hope you found something here worth your time.

Feel free to forward this to your network or share it with your team.

See you next Tuesday,
George