AI Dental Notes & AI Scribes UK (2026): Tools, Costs, Risks

AI dental notes use artificial intelligence to automate clinical documentation. In UK dentistry, broadly two approaches are used: AI voice scribes that transcribe an appointment recording, and a deterministic, structured click-through template approach (used by Nosht). Tools such as Kiroku, Dentascribe and DigitalTCO offer AI features — but it is worth noting that all three are multi-modal rather than voice-only: they also provide clickable or structured template workflows alongside their optional AI audio (per each provider's official site, checked June 2026). Each approach has different implications for accuracy, patient data, and clinical workflow.

To be clear about Nosht itself: Nosht is not a voice scribe, but it does now offer optional, clinician-reviewed AI shorthand fill powered by Anthropic Claude Haiku 4.5 — you type shorthand, the AI fills the structured template fields, and you review every one before saving, with no audio involved. Nosht AI blocks shorthand that looks like it contains patient identifiers; don't type them. See how Nosht AI works.

What are AI dental notes?

AI dental notes are clinical records generated with the assistance of artificial intelligence. In most implementations, the AI listens to the dental appointment — either through a dedicated recording or ambient microphone — and converts spoken words into structured written documentation.

The process typically works in three stages. First, audio is captured during the appointment. Second, the AI transcribes the audio into text using speech recognition. Third, a language model interprets the transcription and organises it into a clinical note format, often using headings like complaint, history, clinical findings, diagnosis, and treatment.

Several tools in the UK dental market offer AI-assisted documentation, including Kiroku, Dentascribe and DigitalTCO. Their input methods and feature sets vary, and none of them is voice-only. Kiroku offers clickable, structured templates as a full no-microphone workflow alongside its optional ambient AI (Co-Pilot) and dictation (per trykiroku.com, checked June 2026). Dentascribe provides free clickable notes plus optional paid AI transcription (per dentascribe.uk, checked June 2026). DigitalTCO is dictation-driven but multi-mode — you can record live, save audio, or type — with AI auto-structuring the result (per digitaltco.co.uk, checked June 2026). Notably, Kiroku, Dentascribe and DigitalTCO all state that they do not retain consultation audio by default — it is transcribed and then deleted. Always check each provider's current materials, and verify pricing and terms with the provider, as these can change. (Last verified June 2026, based on publicly available information; if anything here is out of date, please contact us so we can correct it.)

It is worth noting that not all dental documentation tools rely on AI to interpret audio. Structured template-based tools like Nosht use pre-built clinical workflows where the clinician selects findings from buttons, dropdowns, and conditional fields. The template output is deterministic — no AI interpretation in that path — though Nosht also offers an optional, clinician-reviewed AI shorthand fill you review (see how Nosht uses AI). Both approaches aim to save documentation time, but they work in fundamentally different ways.

AI-generated vs template-based: two approaches

Understanding the difference between AI-generated and template-based dental notes is important because it affects accuracy, data handling, cost, and how much review each note requires.

AI-generated notes follow a voice-to-AI-to-text pipeline. The clinician speaks during the appointment, the AI processes the audio, and text is produced. The output varies depending on what the AI hears and how it interprets clinical terminology. Every note needs to be reviewed before saving, because the AI may mishear words, add findings that were not mentioned, or structure information incorrectly. These tools also process audio recordings that contain patient-identifiable information, which has GDPR implications.

Template-based notes follow a selections-to-text pipeline. The clinician clicks through structured fields — selecting from pre-defined clinical options like "composite restoration", "local anaesthetic administered", or "post-operative instructions given". The note text is assembled deterministically from these selections. The same inputs always produce the same output. The selections describe clinical actions, not patient details, so the note text carries clinical descriptors rather than patient identifiers unless a template asks for them (a referral letter, for example, needs the patient's name and date of birth).

Neither approach is inherently better. AI suits clinicians who prefer speaking over clicking. Templates suit clinicians who want predictable, consistent output that cannot mishear, though every note still needs checking before it is saved. The choice depends on your workflow, your comfort with AI accuracy, and how you feel about patient data handling.

The benefits of AI dental notes

AI dental notes — whether truly AI-generated or structured through templates — offer meaningful advantages over typing notes from scratch. Here are the main benefits.

Time savings

Manual note-writing is one of the biggest time sinks in dental practice. Many dentists spend a large part of the working day on documentation, often after the last patient has left. AI and template-based tools can reduce this to minutes per appointment. Voice-based AI tools save time by letting you speak naturally during treatment. Template tools save time by reducing documentation to a series of clicks rather than free-text typing.

Reduced hand fatigue

Dentists already spend their clinical day performing fine motor tasks. Adding extensive typing after hours contributes to repetitive strain and fatigue. Both AI dictation and click-through templates reduce the physical burden of documentation, which matters for long-term career sustainability.

More complete documentation

When notes are written from memory at the end of the day, details get missed. AI tools capture information in real time from the appointment conversation. Template tools prompt for specific clinical details through structured fields, making it harder to accidentally omit important information like consent discussions, post-operative instructions, or alternative treatment options.

Faster appointment turnaround

If notes are completed during or immediately after each appointment rather than batched at the end of the day, clinicians can see patients more efficiently. Documentation does not become a backlog that extends the working day. This matters particularly in NHS practices where appointment times are tight.

Better compliance when structured properly

The best dental documentation tools are designed around regulatory requirements. In the UK, this means GDC Standards for the Dental Team and CGDent (formerly FGDP(UK)) Clinical Examination and Record Keeping guidelines. Tools that structure notes around these frameworks — whether through AI templates or click-through workflows — help ensure that the clinical record includes what regulators expect to see.

The risks of AI dental notes

It would be irresponsible to discuss AI dental notes without addressing the risks. These are real concerns that UK dentists should evaluate carefully.

AI hallucination and inaccuracy

AI language models can "hallucinate" — generating plausible-sounding text that is factually wrong. In dental documentation, this might mean the AI adds a clinical finding you did not mention, records an incorrect tooth number, or invents a detail about the patient interaction. These errors look convincing in the output, making them easy to miss during review. If an inaccurate note is saved to the patient record, it becomes a medico-legal liability.

Patient data exposure

Voice-based AI dental notes require audio recordings of appointments. These recordings inherently contain patient-identifiable information — names, medical histories, and clinical discussions. Under UK GDPR, this data must be processed lawfully, stored securely, and patients must be informed. Data location and retention vary by provider, so dentists should check each tool's published privacy policy and Data Processing Agreement to understand where recordings are stored, whether they are sent to third-party AI processors, and what the data retention policy is. Template-based tools that capture no audio sidestep this concern entirely.

GDC accountability

The GDC holds the registered clinician responsible for the accuracy of clinical records. If AI generates an incorrect note and you sign off on it, you bear the professional responsibility — not the AI company. This is a critical distinction. "The AI wrote it" is not a defence in a fitness-to-practise hearing. Every AI-generated note must be treated as a draft until you have personally verified its accuracy.

Over-reliance on AI

There is a risk that clinicians begin to trust AI output without thorough review, particularly when the AI gets notes right most of the time. This "automation complacency" is well-documented in other fields. The danger is that the one note the AI gets wrong — perhaps adding a finding that was not present, or omitting a consent discussion — goes unnoticed because the clinician has stopped reading carefully.

Accent and noise sensitivity

Voice recognition accuracy depends on clear audio input. UK dental practices are noisy environments — suction units, handpieces, assistants speaking, patients responding with open mouths. Clinicians with regional accents or those who speak quickly may find that AI transcription requires more correction than expected. This erodes the time-saving benefit and introduces additional opportunities for error.

GDC and AI dental notes

The General Dental Council's position on clinical record-keeping is clear. Records must be "accurate, contemporaneous and complete" as outlined in the GDC's Standards for the Dental Team. Here is how this applies to AI dental notes.

The clinician is always responsible. Regardless of whether notes are typed manually, dictated to AI, or assembled from templates, the registered clinician is accountable for the accuracy of the clinical record. As of October 2026 the GDC had not published guidance specific to AI-generated documentation, but existing standards on record accuracy apply fully.

AI-generated notes must be reviewed. Before any AI-produced text becomes part of the permanent patient record, the clinician must verify that it accurately reflects the clinical encounter. This means reading every line, not just skimming. If the AI has added, omitted, or misrepresented any clinical detail, the clinician must correct it.

Contemporaneous means timely. Notes should be written at the time of treatment or as soon as possible afterwards. AI tools that generate notes during or immediately after appointments support this requirement. Batching notes at the end of the day — whether with or without AI — risks recall errors that undermine the "contemporaneous" standard.

Data handling must comply with UK GDPR. If an AI tool processes audio recordings or any patient-identifiable data, the practice must ensure that data processing is lawful, that patients are informed, and that data is stored and transferred securely. This applies to all AI tools that record appointment audio.

The GDC's Standards for the Dental Team (specifically Standard 4.1) is the key reference document for dental record-keeping requirements. For a full breakdown of what GDC expects, see our GDC dental records requirements guide. Dentists using any documentation tool — AI or otherwise — should ensure they are familiar with these standards.

How Nosht approaches dental documentation

Nosht takes a different path from AI voice-to-text products. It is a structured template-based documentation tool designed specifically for UK dental professionals. Here is what that means in practice.

Nosht provides 50 structured templates — covering everything from basic examinations and fillings to root canal treatments, extractions, and specialist consultations. Each template is structured around GDC Standards for the Dental Team and CGDent Clinical Examination and Record Keeping guidelines. The clinician selects findings from pill buttons, dropdowns, and conditional fields, and the note text is assembled automatically from those selections.

Because the template path involves no AI interpretation, that output is deterministic. The same selections always produce the same note text. For that template path there is no risk of hallucination and no variable output. AI is involved in optional, clinician-reviewed places only: the shorthand fill, an advisory AI check of the finished note's completeness, and a typed-shorthand-to-note draft in the Nosht mobile app (see how Nosht uses AI).

Nosht is not a patient-record system and captures no audio. Your clinical notes hold no patient identifiers — only clinical descriptors. There are two exceptions, both optional: the Referral Letter template, where you choose to enter patient details (name and date of birth, with NHS number, address and contact optional); and Send Leaflet, which processes a patient's email address or mobile number solely to deliver a patient information leaflet. Completed notes are copied to the clipboard and pasted into your practice management system — Dentally, SOE, R4, or anything else.

Pricing starts from £9.99/month. You can learn more about how Nosht works on the dental notes app page.

What AI dental notes and AI scribes cost, and what to ask a vendor

Prices for AI dental scribes vary by vendor, plan and number of clinicians, so check each vendor's own pricing page rather than a roundup. Nosht starts from £9.99/month. Price the whole cost, not just the subscription: for any tool that records or transcribes the patient, add the clinician-minutes spent reviewing the output and the one-off compliance work (a data protection impact assessment, a privacy-notice update and a contract review). Multiply by the clinicians who will genuinely use it, not the whole team on the licence.

Nine questions to ask any AI scribe or AI notes vendor:

1. Does your product record or transcribe the patient? (A clear yes or no, because this one answer sets your compliance workload.)
2. Show me a real output note for a routine exam and a filling. Does it stand up against GDC Principle 4 and CGDent record-keeping guidance?
3. Which AI models and sub-processors touch our data, and where is it hosted?
4. Is our data used to train any model? Get the answer in writing, with the retention period.
5. What exactly does the clinician review before the note is saved, and can the AI assert clinical findings we did not make?
6. How does the note get into our practice management system? (Copy-paste is the honest universal answer for UK systems.)
7. What happens in a noisy surgery, with masks, or with a patient who declines recording?
8. What is the per-clinician price at 12 months, including any compliance or onboarding costs?
9. Does the product have a medical purpose, for example suggesting diagnoses or flagging drug interactions? If so, is it UKCA- or CE-marked and registered with the MHRA, and do you have a DCB0129 clinical safety case report (needed for NHS use in England)?

For the decision between voice scribes and templates, see AI scribe vs structured templates; for the privacy side, see AI dental scribe GDPR and privacy risks.

Frequently asked questions