Clinical notes, drafted by AI. Approved by the clinician.
An ambient and dictated scribe that turns the encounter into a structured, terminology-aware note: confidence-scored and routed through clinician review before it ever reaches the record.
The Virtual Scribe listens to the visit, drafts a structured clinical note, and hands the clinician a review-ready draft, not a raw transcript. It is engineered for the clinical edge cases generic dictation misses, with guardrails that keep unverified output out of the chart.
Built for the clinic, not the demo.
Ambient + dictated capture
Works hands-free in the room or from dictation, whichever fits the visit.
SOAP-structured notes
Output lands as Subjective, Objective, Assessment and Plan, not an undifferentiated wall of text.
Confidence scoring
Every extracted entity carries a confidence score, so low-certainty items are flagged, not hidden.
Terminology & coding aware
Maps colloquial language to standard medical terminology and ICD-10 for clean, codeable notes.
Clinician-in-the-loop
Nothing is filed until a clinician reviews and approves. Review is the product, not an afterthought.
One-click EHR filing
Approved notes file straight into the record, EHR-agnostic, with full audit logging.
Four steps, from the spoken word to a signed note.
Listen
Ambient or dictated audio is captured securely, with patient consent.
Structure
Speech is transcribed and structured into a SOAP note, with clinical entities extracted.
Score
Each entity is confidence-scored; low-certainty items are surfaced for attention.
Review & file
The clinician reviews, edits and approves, then files to the EHR in one click.
Every capability ships with the rigor clinical AI actually requires, not a wrapper over a model.
See how this looks in production: engineered, integrated and shipped.
Conversation Capture: the AI scribeThe questions clinical teams ask.
Does the AI write directly into the chart?
No. The scribe produces a review-ready draft; nothing reaches the record until a clinician reviews and approves it.
How do you handle accuracy and hallucinations?
Output is grounded strictly in the captured encounter, confidence-scored, and gated by clinician review, with evals and hallucination mitigation built in.
Which EHRs does it support?
Integration is EHR-agnostic. Approved notes file through standard interfaces rather than locking to one vendor.
Built by the team behind clinical platforms at Netsmart, eVisit and The Change Companies.
A 30-minute call. We map the clinical workflow and the compliance bar, then walk through how our healthcare AI fits, so the next decision is easy.
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