Using an AI Scribe in Consults? Here's How to Tell Patients
AI scribes are spreading fast through allied health clinics because they genuinely save clinicians time on notes 💖 — but the clinics doing this well are the ones treating disclosure as part of the tool's rollout, not an afterthought. Patients are increasingly switched on about where their health information goes. A clinic that explains it upfront, honestly, including the bits that are still a bit untidy, builds more trust than one that tries to make the tool invisible.
What most clinics get wrong
The most common misstep is treating disclosure as a tick-box line buried in a long consent form nobody reads, rather than something said out loud in the room. The second is vague language — "we use some software to help with notes" — which raises more questions than it answers. The third, and the one with the most actual risk, is not having a real opt-out: if "no" isn't a genuinely easy answer with a genuinely workable alternative (the clinician just writing notes themselves, as they always did), it isn't informed consent, it's a formality.
"Before we start, quick heads up — I use an AI note-taking tool during some consults that listens and helps draft my clinical notes afterwards, so I can focus on talking with you rather than typing. It doesn't record a permanent audio file — [confirm this is accurate for your specific tool] — and anything it drafts, I review and edit myself before it goes in your file. Your information is handled under the same privacy obligations as the rest of your records. You're completely welcome to say no — I'll just take notes the usual way, and it won't change your care at all. Happy for me to use it today, or would you rather I didn't?"
How to roll it out properly
Before you tell a single patient, get three things confirmed from the vendor in writing: whether audio is retained or only a transcript/summary, where data is stored and for how long, and whether any of it is used to train the vendor's models. You need honest answers to put in your own disclosure — don't guess. Update your privacy policy and intake forms to mention the tool by category (not necessarily by brand name, though some practices do name it for transparency). Train every clinician to say the same script, out loud, before the AI tool is active — not after. And make the opt-out truly equal: no sighing, no "it'll just take me a bit longer," no behaviour that makes saying no feel like a burden on the clinician.
Mistakes to avoid
- Burying the disclosure in fine print instead of saying it out loud.
- Using vague language that doesn't say what actually happens to the data.
- Making the opt-out feel awkward or like it inconveniences the clinician.
- Rolling the tool out to patients before confirming data-handling details with the vendor.
- Assuming one disclosure at intake covers every future visit without ever mentioning it again.
Frequently asked questions
Is patient consent legally required to use an AI scribe?
This depends on your jurisdiction, the specific tool, and whether it records audio — the honest nuance is there's no single universal answer, so this is worth checking against current privacy law and your professional body's current position rather than assuming either "yes always" or "no, it's just software."
What if a patient says no?
The clinician takes notes the way they always did before the tool existed. If that genuinely changes the quality or speed of the consult in a way that disadvantages the patient, that's worth addressing separately — but it generally shouldn't.
Does the AI scribe store recordings permanently?
It depends entirely on the vendor and your settings — some tools discard audio immediately after generating a summary, others retain it. This is something every clinic needs to confirm directly with their vendor rather than assume, because it changes what you can honestly tell patients.
Do we need to name the specific AI tool in our disclosure?
Not necessarily — describing the category and function honestly is usually sufficient, though naming the tool adds a layer of transparency some clinics prefer. Either way, the substance of what happens to the data matters more than whether the brand name is mentioned.
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