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HealthTech · Dental EHR platform

Intelligent assistance for dentists

A RAG-based assistant built into an existing dental EHR, trained on each practitioner's own history plus collective platform insight.

20%
boost in revenues by upselling the capability to existing customers
In-platform
no change to the practitioner's existing workflow

How it works

4 steps, from input to result

  1. 01

    Inside the EHR

    The dentist works in the platform they already use — no new tool.

  2. 02

    Retrieve and generate

    A RAG system draws on the dentist's own history plus platform insight.

    RAG
  3. 03

    Coding guidelines

    Recommendations follow standardised medical coding, not free-form text.

  4. 04

    Suggested plan

    Treatment suggestions and likely patient questions, ready in the workflow.

The problem

  • Dental practitioners needed diagnostic support without leaving the EHR platform they already worked in.
  • Any recommendation had to respect standardised medical coding guidelines to be usable in practice.

What we built

  • A custom algorithm trained on each dentist's historical data alongside collective platform insight.
  • A Retrieval-Augmented Generation system with GenAI capabilities that anticipates patient questions.
  • Recommendations generated against standardised medical coding guidelines rather than free-form.

Results

  • 20% boost in revenues by upselling the capability to existing customers
  • In-platform no change to the practitioner's existing workflow

Technology

  • Retrieval-Augmented Generation
  • Generative AI
  • Diagnostic algorithms
  • Medical coding integration