Getting the Most Out of Your AI Medical Scribe, Without Losing Your Clinical Judgment

AI scribes are saving physicians hours every week. But how you use them matters just as much as which one you choose.

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The conversation around AI in clinical settings has shifted. The question is no longer whether physicians should use AI-assisted documentation, it’s how to use it well.

A recent discussion in Canadian medical circles raised valid concerns about AI hallucination and documentation accuracy. Those concerns are legitimate, and any responsible AI vendor should take them seriously. At Tali, we do.

But the conversation also pointed to something important: not all AI scribes are built the same, and the way a clinician uses their tool has a significant impact on note quality.

Why purpose-built matters

General-purpose AI tools like ChatGPT generate language based on probability. That’s fine for writing emails. It’s a real risk for clinical documentation, where an inferred detail can become a documented one.

Tali is purpose-built for clinical encounters. Our approach is grounded in what was actually said in the room, not inferred, not fabricated. That distinction matters enormously, and it’s why Tali is one of only nine vendors approved by Canada Health Infoway, and is selected by all major Canadian EMRs as a trusted solution.

Even among purpose-built scribes, accuracy varies. That’s why Tali has a dedicated team whose sole focus is monitoring note quality and reducing hallucination risk, because we understand the responsibility we carry in supporting clinical care.

The evidence speaks for itself

70–90%

less time on paperwork

3–4 hrs

saved per physician per week

82%

want to continue long-term

Source: OntarioMD pilot study, 150+ family physicians

That’s not a tool to fear. It’s a tool to use thoughtfully.

Clinicians who get the most out of Tali treat it like a very capable assistant they still double-check, because that’s exactly what it is.

Eight ways to get better notes, starting today

The accuracy of the final note is ultimately the physician’s responsibility, but we don’t leave clinicians alone in that. Here’s what makes a real difference:

1.    Check audio quality first. Tali will show a warning if it’s having trouble hearing you. A good microphone, positioned well, makes a meaningful difference to transcription accuracy.

2.    Customize your note templates. If certain clinical information keeps missing, don’t just correct it manually, use Tali’s template customization tool to make it explicit. The AI will learn to capture it reliably.

3.    Speak clearly and stay close to the mic. In busy or noisy environments, deliberate speech significantly reduces transcription errors.

4.    State clinical decisions out loud. Say “I am prescribing X for Y reason” or “we will follow up in two weeks.” Explicit anchors produce cleaner, more accurate notes.

5.    Verbalize negatives. Say “patient denies chest pain”, don’t just not mention it. AI can sometimes fill conversational silences with assumptions; explicit negation removes that risk entirely.

6.    Review right after the visit. Memory is freshest immediately after the encounter. A 60-second scan catches errors faster than reviewing hours later.

7.    Close with a verbal summary. “To summarize, the plan is X, follow up in Y weeks” gives Tali a clear signal and tends to produce much more organized notes.

8.    Report recurring errors. If something keeps getting missed, flag it. Tali’s feedback loop allows us to improve performance at the individual physician level over time.

Still having trouble?

If note quality issues persist after trying these tips, our customer success team can help investigate at the individual level. They’re there specifically for this, to make sure Tali works as well as possible for every clinician using it.

Book a call or reach out at help@tali.ai, our team will investigate your specific setup and help you get the most from Tali.