Ted's Friday Five — WTF Happened in AI Allied Health This Week? Week ending 17 July 2026
Jul 19, 2026Ted Jedynak, the AI for Allied Health Guy · Helping Clinic Owners Implement AI Safely & Effectively for Better Clinical Outcomes.
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Australia just started a five-month countdown that could cost your clinic $62,600 — and most allied health practices haven't clocked it. Between a genuine regulatory deadline, three tech giants elbowing into healthcare, and a competitor testing the waters in your CPD lane, this was a week that actually mattered — not just noise.
📺 Watch the 5-minute video above, or read on for the full breakdown.
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Your Privacy Act Deadline Just Started Ticking
From 10 December 2026, amendments to the Privacy Act 1988 introduce specific obligations for "automated decision-making" (ADM) — defined as decisions made by systems with limited or no human involvement that significantly affect an individual. That's a broader net than it sounds: AI triage tools, risk-stratification systems that set follow-up frequency, and even billing software that auto-applies Medicare eligibility all potentially fall inside it.
Here's the part clinic owners keep missing: every health service provider counts as an APP entity under this regime, regardless of turnover. The usual small-business exemption doesn't apply. A two-chair podiatry clinic in Glenelg carries the same disclosure obligation as a capital-city hospital network. The Office of the Australian Information Commissioner (OAIC) has separately named healthcare a high-risk enforcement sector for 2025–26, with new powers to issue compliance notices. Penalties start at $62,600 per offence and scale to the greater of $50 million, three times the benefit obtained, or 30% of turnover for serious breaches.
This sits alongside existing Ahpra guidance — practitioners must already apply human judgement to AI output, understand how their tools were trained, disclose AI use to patients, and obtain informed consent before AI touches personal health information — and the TGA's February 2026 clarification of when AI-based software counts as a regulated medical device.
The non-obvious angle: expect a wave of "Privacy Act compliant" marketing from AI scribe and practice-management vendors in Q4, as they scramble to demonstrate readiness. Most of that marketing will quietly skip the fact that disclosure is the practice's legal obligation, not the vendor's. Clinic owners who assume their software provider has this handled are in for an unpleasant surprise.
What to do: Don't wait for a vendor email. Audit every AI tool currently touching patient data in your clinic — scribes, triage bots, scheduling algorithms — and get a plain answer on whether each one makes decisions with "limited human involvement." If you can't answer that in one sentence per tool, that's your project for this month, not December.
Big Tech Built AI for Hospitals — Not Your Clinic
OpenAI has rolled out ChatGPT for Healthcare, a GPT-5-powered enterprise workspace with HIPAA-style compliance features (data residency, audit logs, customer-managed encryption) already adopted by health systems including Cedars-Sinai and HCA, plus a separate Healthcare API and a consumer-facing "ChatGPT Health" tab. Microsoft's Copilot Health pulls together wearable, EHR, and lab data across more than 50,000 US provider organisations. Google has shipped Gemini-powered upgrades to Fitbit's Personal Health Coach and committed $10 million to fund AI literacy training for clinicians.
None of these products are built for a three-chair allied health practice. That's not a criticism — it's the opening. Every one of these launches gets reported as "AI is coming for healthcare," and your clients' patients are walking in having already asked ChatGPT or Copilot about their foot pain or shoulder impingement, arriving more informed but not necessarily more correct.
Here's the detail that should shape your messaging: research behind this Big Tech push contains an inconvenient finding for the platforms themselves — more than half of doctors and nurses say clinical AI tools should be built by a trusted medical resource, not a tech company, and 77% say they "always" or "often" validate AI-generated health information before acting on it. Practitioners already know they can't blindly trust the output. They just don't have anyone credentialed showing them how to check it properly, at their scale, in their discipline.
The risk isn't patients using AI — it's practitioners getting defensive about it and losing the room. The ones who learn to say "let's look at what the AI found together" instead of "that's wrong" will keep their patients' trust. The ones who don't, won't.
What to do: Build one clear, rehearsed response for the "but ChatGPT said..." conversation and start using it this week. It's a five-minute exercise that pays off every single day you're in clinic.
The CPD "Competitor" That Isn't Really One
Health AI CPD (healthaicpd.com), founded by UK health communication educator Michelle Guillemard and built on Kajabi — the same platform TEDucation runs on — is offering free and paid CPD-accredited courses teaching general healthcare professionals to use tools like ChatGPT "safely and confidently." Courses include a two-hour "AI Skills for Healthcare Professionals" primer accredited by the UK's CPD Certification Service, plus a broader library on responsible AI communication.
It's aimed broadly at "health professionals," not allied health clinic owners specifically. Testimonials skew toward medical writers and general health workers. There's no Australian regulatory grounding — no Ahpra, no TGA, no Privacy Act — and no implementation coaching. It's education-only: you'll walk out with a CPD certificate, not something you've actually built.
This isn't a five-alarm fire. It doesn't fish in the same pond — Australian allied health clinic owners wanting practical implementation, not general AI literacy. But it proves two things worth taking seriously: the market for "teach me AI safely" content is real and monetisable, and the free-CPD-as-lead-magnet funnel works. It's only a matter of time before someone builds the Australian, allied-health-specific version of this. The window to be first and loudest in that lane is shrinking, not permanent.
What to do: Spend ten minutes on their pricing and course structure this weekend. Then add one clean line to your own sales page: they teach you to use ChatGPT — the Clinical Intelligence Program teaches you to run a compliant, profitable, AI-augmented clinic with it.
A Citable Evidence Base Just Dropped
On 15 July 2026, the US-based Coalition for Health AI (CHAI) released a new Implementation Playbook and Testing & Evaluation Framework for Ambient AI, giving health organisations a structured, evidence-based approach to rolling out tools like ambient scribes and documentation assistants.
It's American and not allied-health specific, but for an audience that's evidence-hungry and sceptical of hype, a credible international implementation framework is exactly the kind of citation that lands harder than "trust me, I've done this before." Frameworks like this tend to get picked up by regulators and peak bodies within 6–12 months of release — referencing it early, before Ahpra or an Australian peak body points to something similar, is a straightforward way to stay ahead of the curve.
The Bottom Line This Week
The direction of travel is unmistakable: regulation is tightening faster than most clinic owners realise, Big Tech is building for hospitals and consumers while leaving small practices to fend for themselves, and the "AI education" market is heating up without anyone yet claiming the Australian allied-health lane properly. None of that is a reason to panic. It's a reason to move before everyone else catches up — compliant, evidence-based, and built for a clinic your size, not a hospital network's.
Ted Jedynak is a podiatrist, educator, and business coach based in Adelaide, Australia. His Clinical Intelligence Program (AI+HI=CI) helps allied health clinic owners implement AI into their practice — practically, safely, and without the hype. Find out more at tedjedynak.com/clinical-intelligence
Sources: AHPRA — Meeting your professional obligations when using AI in healthcare · TGA — AI and medical device software regulation · AHCRA — AHPRA AI Guidelines for Australian Healthcare: 2026 Update · FierceHealthcare — OpenAI rolls out ChatGPT for Healthcare · Forbes — How OpenAI Plans To Win Over Doctors, Patients And Hospitals · Fortune — Microsoft launches Copilot Health · Health AI CPD · Coalition for Health AI (CHAI)