Good morning future-focused leaders.

Last week, Channel 7’s Sunrise featured the trial of “Daisy” – a Singapore-developed robot now assisting staff at an Australian aged care provider. I’m linking to the coverage via a short post from Ageing Australia, so you can see it for yourself. While opinions on robots in aged care may vary, this announcement has certainly sparked lively discussion in the comments—especially since it was made in celebration of Aged Care Employee Day. Talk about timing.

What else we cover this week:

• Free webinar & toolkit: AI integration for the new Support at Home model

• Prompting strategies to get better results from GPT-5

• Google India launches culturally attuned Elder Care Program for their employees

• AMA urges governance and prioritisation in AI health adoption

• NASA & Google’s AI medical assistant for remote care scenarios

• OpenAI adds mental health safeguards to ChatGPT

• And more...

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💡 Don’t miss the free webinar: Your roadmap to smarter aged care

In brief: As the new Support at Home model approaches, many providers are turning to AI to reduce the burden of coordination, documentation, and compliance. Yet without a clear pathway, adoption can be uncertain and risky. To address this, we have developed a sector-specific toolkit to guide aged care providers through the practical steps of AI integration—and we are launching it in a free webinar.

The details:

• The free online webinar will be held on 28 August and is open to aged care providers across Australia.

• Hosted by Ageing Australia and the AI Adoption in Aged Care Workgroup.

• All participants receive the complete AI integration toolkit and printable templates for internal planning, training, and governance.

📅 Reserve your place today – all attendees will leave with practical tools ready to use.

By the end of this webinar, participants will:
✔ Understand how to apply a structured framework to guide AI adoption in aged care operations.
✔ Learn effective use-case discovery methods to identify where AI can add the most value.
✔ Gain tools for assessing value, risk, and ethical considerations of AI applications.
✔ Learn how to use prioritisation planning tools to map a clear and manageable implementation pathway.
✔ Receive the complete AI integration toolkit, with five actionable tools and printable templates.

Thanks to my co-authors: I developed this toolkit together with AI Adoption Consultant, Marina Ritchie, and Dr Aprille Chua, who leads the Design for Health and Wellbeing research track at LASALLE College of the Arts, University of the Arts Singapore. My thanks to Marina for bringing her two decades of business and marketing expertise to help simplify complex AI concepts, and to Aprille for guiding a structured co-design process with aged care providers to ensure every tool is grounded in real-world needs.

READY TO USE TODAY

🧠 Back to basics with GPT-5: prompting for better results

In brief: On August 7, OpenAI launched ChatGPT-5, which it says represents a "significant leap in intelligence," and which is being made available to all 700 million ChatGPT users, including people on a free plan. Let’s see this as an opportunity to revisit core prompting techniques - this “cheat sheet” offers practical, field-tested ways to get the best from the newest model.

The details:

• Deep reasoning & problem-solving – Example: “You are an aged care operations manager. Break this problem into clear steps before suggesting a solution.” This forces GPT-5 to logically unpack issues, reducing errors.

• Role + objective + constraints – Example: “You are a quality manager. Summarise these 20 pages of policy changes for frontline staff in under 500 words, in plain language.” Assigns a role, sets a goal, and limits scope so GPT-5 stays focused.

• Progressive deepening – Example: “Give me an overview of AI use in aged care administration. Then expand on the top two cost-saving applications in detail.” Starts broad, then hones in.

• Multi-format integration – Example: “Here’s a staffing report and last month’s incident log. Analyse both and produce a one-page risk summary.” GPT-5 can now merge insights from text, tables, and images. Always ensure personal details are de-identified before sharing any data.

• Exploratory idea maps – Example: “List all possible ways to streamline resident admission processes, grouped into policy, technology, and staff training.”

• From broad goals to precise execution – Example: “Goal: Improve shift handovers. Suggest 3–5 ideas. Then develop a step-by-step rollout plan for the best one.”Decrease in use of physical restraints and pressure ulcers in residents.

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❤️ Google India launched an Elder Care Program to help employees care for their ageing parents. I find this news fascinating because it weaves together so many aspects of ageing—private sector stepping in where government or community services may fall short, the use of technology through telehealth consultations and remote monitoring, and a culturally attuned approach that recognises how deeply ingrained family care is in the Indian culture.

💊 Late last week, and with two‑thirds of physicians already using AI tools, the American Medical Association urged organisations to take stock of current AI deployments, establish governance frameworks and align projects with priorities like value‑based care, workforce retention and health equity. AMA’s toolkit provides steps for executive accountability, intake processes and readiness assessments. For a more aged sector specific tool, the AI Adoption in Aged Care Workgroup launched last month the (free to adapt and use) Guidelines for the Responsible Use of Generative Artificial Intelligence in Aged Care.

🩺 In this opinion article Dr Katharine Bassett comments on the draft National Allied Health Digital Uplift Plan, and warns that while Australia’s health system is racing to modernise, allied health professionals—like physios, dietitians, and speech pathologists—are still stuck with paper and faxes. Bassett argues that without investment in tools, training, and integration support, they’ll be locked out of a truly connected care system. As she puts it: “We don’t need more pilot projects or stakeholder roundtables. We need real investment. And we need it fast.”

🪐 At first glance, you may think this is irrelevant in an aged care newsletter, but here goes: NASA and Google have built an AI medical assistant for deep space that is also able to work when connection is lost. NASA’s Crew Medical Officer Digital Assistant diagnoses conditions from speech, text, and image inputs; in simulated ankle, flank, and ear-pain cases, it scored 74–88% accuracy. Closer to home (our Earth), I can see this being adapted for remote healthcare, offering a model for AI-enabled clinical support in isolated aged care settings like the Australian outback.

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