How an AI Scribe Gets a Note Wrong, and the Checks That Catch It

By Tanmay Mathur · Published 2026-10-07

The dangerous AI note is not the badly written one. It is the fluent one with a wrong dose in it.

Fluent is not the same as right

Language models write well. That is the problem: a note with a wrong dose reads exactly as confidently as a correct one. We test Clinic Scribe on hundreds of invented consultations in five languages, and every error below is one we actually found. Each now has a check that stops the doctor before signing.

The errors, and the checks

Why checks, not a smarter prompt

We tried telling the note model more about each specialty. It made the notes worse: given more medical knowledge, the model drifted toward what is typical instead of what was said. So the knowledge goes into checks - dose ranges for Indian brands, the negatives each specialty asks about - which cannot invent anything and can only stop a signature.

The doctor still reads every note

No check catches everything. The note shows the words behind every line, flags must be ticked one by one, signed notes cannot be overwritten, and the doctor reads every note. That is the design, not a disclaimer.

Frequently asked questions

Can an AI scribe make up something the patient never said?

It can try. Every line in a Clinic Scribe note sits beside the words it came from, and a claim with no supporting words is flagged before signing.

Does the scribe correct mistakes on its own?

No. It flags; the doctor decides. Nothing in the note is changed silently.

Related

Keep reading

See the checks in Clinic Scribe

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