NeuroReef
Dental & Veterinary · Clinical Documentation AI
AI clinical documentation inside the dentist appointment workflow
NeuroReef captures the dentist-patient conversation, combines live transcription with patient history and uses AI to draft clinical documentation. The dentist remains in control: generated notes must be reviewed, edited and approved before release.
The starting point
Dentists were spending documented time after appointments turning conversation context and notes into structured clinical documentation.
What had to change
Documentation needed to be drafted during the appointment rather than reconstructed afterwards.
What couldn't break
AI-generated clinical material could not bypass the clinician. The dentist had to remain the approval authority.
Why this was hard
High-quality clinical documentation needs accurate transcription, relevant patient history, domain-specific structure and a human approval path—not merely text generation.
What Datics changed
Datics built the pipeline that connects live appointment capture to transcription, patient context and AI-generated clinical notes while keeping review and approval inside the workflow.
Live transcription
The appointment conversation is transcribed as it happens.
Patient-history context
Relevant patient history is retrieved into the documentation context.
AI clinical documentation
Diagnostics and procedural notes are drafted in clinical structure.
Dentist approval gate
Nothing is released until the dentist reviews, edits and approves it.
Platform in action
Appointment Capture
Where the appointment conversation is recorded.
Clinical Documentation
Where notes are drafted from conversation and history.
Clinician Review & Approval
Where the dentist approves the final record.
What changed
Documentation is drafted during the appointment and leaves only after the dentist approves it.
- Human approval
- Required before any note is released
- Clinical context
- Patient history included in the AI context
- Capture
- Live transcription inside the appointment workflow
Under the hood
- Datics role
- Transcription pipeline, retrieval and context, LLM orchestration and the review and approval surface.
- Integrations
- Athena for patient history, Whisper and DeepGram for transcription.
- Deployment
- Cloud-hosted application with Python services behind the documentation pipeline.
- Production boundary
- Clinician approval required before any documentation is released.
Technology
What this unlocked
The same context-and-approval pattern can support additional clinical assistance while keeping the dentist responsible for the final record.
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