Industries

Dental practice AI that stays out of clinical judgement

The pressure in a dental practice is rarely clinical capability - it is the admin around it: notes written after hours, recalls that slip, claims rejected on detail, and a front desk that cannot answer the phone and the door at once.

  • No diagnostic claims
  • GDC and CQC aware
  • Patient data kept in-boundary
Working in dentists
The pressure right now

What we hear from dentists

  • Clinical notes written up late, in a hurry, and thinner than the record should be
  • Recall and reactivation lists that nobody has time to work through
  • NHS claim rejections and lost UDA value on avoidable detail
  • Failure-to-attend rates that quietly cost a chair-hour a day
  • Treatment plan letters and finance explanations taking clinician time after surgery
Where it pays off

Six places AI earns its keep here

Not everything on this list will apply to you. Most organisations start with one and extend once it has been measured.

Clinical note support

Structured notes drafted from the clinician's dictation into your practice management system's format, checked and signed by the clinician before they are committed to the record.

Treatment plan correspondence

Plain-English plan letters and cost breakdowns generated from the agreed plan, consistent with your consent process and readable by the patient.

Recall and reactivation

Working the overdue list properly: personalised, appropriate contact at sensible intervals, with opt-outs respected and clinical urgency flagged for a human.

NHS claim preparation

Checking claim detail against the recorded treatment before submission, so avoidable rejections are caught in the practice rather than after.

Front-desk load

Answering the routine questions - opening hours, prices, what to do about a lost crown - in your practice's own words, with anything clinical passed straight to a person.

Practice reporting

The weekly picture: chair utilisation, FTA rate, recall performance and outstanding claims, assembled without someone rebuilding a spreadsheet.

Where we would start

The first three moves

1

Start where the hours go

For most practices that is notes and recalls. We measure the current position for a fortnight first.

2

Fit it to your PMS

Whatever you run - the workflow has to live inside the system the team already uses, or it will not be used.

3

Keep clinical boundaries explicit

Written into the configuration and the policy: what the system may draft, and what it must never assess.

Risk and regulation

The part most suppliers skip

Where the risk sits

  • Patient records are special category data - the processing basis has to be right
  • Anything that interprets a radiograph or suggests a diagnosis is regulated as a medical device
  • GDC standards on record-keeping, consent and communication apply unchanged
  • CQC evidence expectations for records and patient information
  • Automated patient contact must respect consent and marketing rules

How we handle it

We do not build diagnostic tools. Radiographic interpretation and clinical assessment are medical device territory with a UKCA regulatory pathway, and a general AI deployment must not stray into it.

Special category patient data is kept inside your boundary wherever the practice requires it, with the processing position documented for your information governance file.

The clinician signs the record. The system's role is to make the write-up faster and more complete, never to become the author of clinical judgement.

Questions

Questions from dentists

Not from us. Radiographic interpretation is a regulated medical device function requiring its own conformity assessment - if you want that capability, buy a UKCA-marked product built for it. Everything we do sits on the administrative and documentation side.
It can be, and the detail matters: where the audio is processed, whether it is retained, and whether it is used for training. We specify a configuration that satisfies your information governance, including a fully in-practice option.
The single-practice cases that pay for themselves are usually recalls and claim accuracy, both of which have a directly measurable value. We would rather scope one of those than sell a programme a two-surgery practice does not need.

Start with an audit of what you already run

Two to four weeks to an evidenced picture of your AI use, spend and risk - and a ranked list of what to do first.