AI Clinical Notes in Dentistry: A Review Workflow Before Sign-off
Research and guidance checked: 6 October 2026.
Cover photograph: Healthcare professional writing notes beside a laptop. Illustrative stock photo; not an AI output or a research case. Photo: Tima Miroshnichenko / Pexels • Pexels licence
The appeal of an AI scribe is easy to understand: less typing while keeping attention on the patient. The important unit of evaluation is the final checked record. A fluent draft may still omit a discussion, misidentify a speaker or add a plausible detail that nobody actually stated.
The 30-second answer
Read the entire draft before approving it.
Check meaning as well as spelling and formatting.
Include correction time when judging whether the tool saves work.
What the research can and cannot establish
A 2025 BMJ Digital Health study of clinical AI scribes in primary care reported omissions as the most frequent error type, while some inaccuracies and hallucinations could have substantial impact. This is medical primary-care evidence, not a validation study for dental notes or a specific dental scribe. It is useful for identifying questions a dental evaluation should investigate.
The BDA advises dental teams to consider AI's limitations and retain professional responsibility for its use. A well-written sentence does not transfer accountability away from the clinician.
Four error types to look for
Error | Synthetic example | Review question |
|---|---|---|
Omission | An alternative discussed is absent | Does the note retain the relevant discussion? |
Invented detail | A material is named without being stated | Where did this claim come from? |
Speaker confusion | A companion's comment becomes the patient's statement | Who actually said it? |
Changed meaning | A possibility is recorded as an agreed plan | Does the certainty match the conversation? |
The examples above are invented training examples, not patient records or findings copied from the study. They demonstrate why a grammatical check is insufficient. The reviewer must compare the draft with what happened and with the other appropriate clinical information.
Healthcare professional reviewing paperwork at a desk with a laptop. Illustrative stock photo; not an AI output or a research case. Photo: Antoni Shkraba / Pexels • Pexels licence
A sign-off process the team can follow
Confirm that the recording or text belongs to the correct encounter.
Review the relevant history, findings and discussion against the encounter.
Check uncertainty, alternatives and agreed next steps particularly carefully.
Remove unsupported details and repair omissions before approval.
Confirm the record is stored in the intended clinical system.
Record and report a recurring error through the practice's agreed process.
This is a proposed review checklist, not a substitute for the practice's professional record-keeping requirements. Different encounters need different detail. The goal is to give the reviewer a reliable sequence without allowing a template to dictate what happened.
Evaluate net time, not draft speed
For a short pilot, compare similar encounter types. Record drafting time, review time, corrections and failed recordings. Note whether a draft needs minor edits, substantial rewriting or rejection. Avoid describing the tool as saving five minutes when the figure excludes the review that makes the record usable.
Pilot field | Why it matters |
|---|---|
Encounter type | Prevents misleading comparisons |
Time to approved note | Measures the complete process |
Material omissions | Tests completeness |
Unsupported claims | Tests factual fidelity |
Drafts rejected | Makes failures visible |
Keep privacy in the same conversation
Before using a tool with patient information, map what is captured, where it goes and who may retain or access it. Do not assume that removing a name removes every identifying feature. The companion privacy article explains the questions to resolve before operational use.
Frequently asked questions
Can the reviewer approve a note after checking only the summary? A summary may omit details elsewhere in the record. Approval should follow a review appropriate to the complete draft.
Is an empty recording a minor technical problem? It can become a record-quality problem if the team assumes the conversation was captured. Define a visible failure notification and a fallback method.
Should saved time be the only success measure? No. A useful tool must also preserve the relevant meaning and work within the practice's governance arrangements.
Can these examples be used for training? Yes. They are original synthetic examples designed to prompt discussion; they contain no real patient details.
Sources and image credits
Written for Diamed Engineering. Research findings are attributed above; tables, explanations and labelled synthetic examples are original editorial material.
Photographs are credited beside their use and supplied under the Pexels licence. They do not imply endorsement by the pictured people.
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