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Assessment

Rapid AI Tool Triage Assessment

A short assessment you run against any AI tool before it touches patient information, built to be finished in one sitting.

We do not send a generic PDF.

That is why we ask for your job title and your company. Every resource is tailored dynamically around both, so what reaches you speaks to the decisions your role actually owns, inside an organisation like yours.

Generated around your role, then checked by us before it goes out. That is what the 48 hours is for.

Request your copy

Four fields. Your job title and company shape the document you get back, within 48 hours.

By requesting this, you agree we may share your details with the client we are working with so they can follow up. See our privacy policy.

What you get

  1. Questions grouped by what each one protects: patient information, clinical accuracy, vendor obligations, and your own audit trail.
  2. A red flag list that ends the assessment early when a tool is obviously unsuitable.
  3. The evidence to request from a vendor, worded so you can paste it into an email without rewriting it.
  4. A record of the assessment you keep on file if anyone later asks you to justify the decision.

Who it is for

For teams evaluating more tools than they have time to evaluate properly.

Questions this raises

Which clinical workflows are safest to put AI near first?

The ones where the AI does not interpret. Documentation, summarising and drafting keep a practitioner between the output and the patient, and on the TGA's framing a tool that only transcribes and translates is not a medical device, while one that generates a diagnosis or treatment recommendation is (Source: TGA, digital scribes guidance, 30 January 2026).

How do we tell an administrative use from a clinical one?

Ask whether the output could change a clinical decision if nobody checked it. Rostering, billing and correspondence fail that test harmlessly. Anything producing a differential diagnosis passes it, which is exactly the line the TGA drew between a scribe that records and a scribe that interprets (Source: TGA, digital scribes guidance, 30 January 2026).

Should we start with the highest volume task?

Volume is the wrong first filter. Start where a mistake is visible and recoverable, because that is where you learn how the tool behaves before it sits near a decision that matters. Ahpra's position that the practitioner stays responsible for AI output means the early workflows should be ones where checking is realistic (Source: Ahpra, Meeting your professional obligations when using Artificial Intelligence in healthcare).

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