AI clinical documentation, give clinicians their evenings back.
The note is the number-one driver of clinician burnout. We build ambient documentation — capture, clinical NLP and EHR write-back — that drafts the note while the clinician focuses on the patient, and signs it in seconds.
From a conversation to a signed note
Six steps turn the visit into a finished, coded note in the chart — with the clinician reviewing and signing, never typing from scratch.
Listen
Ambient capture of the visit — no typing, no dictation pauses.
Transcribe
Speech to text, speaker-separated and medically tuned.
Structure
NLP pulls out problems, meds, plan and the rest.
Draft
A structured note generated in your specialty's format.
Review
The clinician edits and signs — always in the loop.
Sync
The signed note and codes written back to the EHR.
Documentation that respects the chart and the clinician
A transcription tool is easy. A clinically accurate, EHR-native note that a doctor trusts enough to sign is the hard part — and it's the part we build.
We build documentation that fits the chart and the workflow — not a generic transcription bolt-on.
The after-hours charting that drives burnout is exactly what ambient documentation gives back.
The note lands in the record structured and coded, not in a separate document to copy-paste.
AI drafts; the clinician reviews and signs. The human is never out of the loop.
How we build it
From ambient capture to a signed note in the EHR — the clinical NLP and the guardrails that make it safe to trust.
Start a conversation
01Ambient capture
We set up the capture — ambient room audio or device-based — so the conversation becomes documentation without a clinician touching a keyboard.
- Ambient or device audio
- Speaker separation
- Noise handling
- Consent workflow
02NLP & structuring
We build the NLP that turns a transcript into structured clinical content — problems, medications, assessment and plan — not just a wall of text.
- Clinical NLP
- Entity extraction
- Section mapping
- Terminology coding
03Note generation & coding
A draft note in your specialty's format, with suggested codes — so the clinician edits and signs instead of writing from scratch.
- Specialty templates
- Note generation
- Code suggestions
- Quality checks
04EHR integration & review
We wire the review-and-sign flow into the EHR over FHIR, so the signed note and its codes write straight back into the chart.
- FHIR write-back
- Review & sign UX
- Audit trail
- Clinician feedback loop
The documentation engine, end to end
Ambient scribe
The visit captured and documented without typing.
- Room or device audio
- Speaker separation
- Real-time or async
- Consent handling
Note generation
Structured, specialty-aware draft notes.
- SOAP / specialty formats
- Problem-oriented
- Editable drafts
- Templates
Coding support
Suggested diagnosis and procedure codes.
- ICD-10 / CPT
- Evidence links
- E/M leveling
- Audit support
Clinical NLP
Meaning pulled from the conversation.
- Entity extraction
- Negation handling
- Med reconciliation
- Summarization
Quality & safety
Guardrails so the draft is safe to trust.
- Hallucination checks
- Required-field checks
- Confidence flags
- Human sign-off
EHR write-back
The note and codes land in the chart.
- FHIR integration
- Structured write-back
- Order capture
- Encounter close
Whoever the note is burying
Clinicians losing their evenings, systems rolling it out at scale, or a product adding ambient AI — the goal is the same: less typing, better notes.
Clinicians drowning in charting
Your clinicians spend two hours a night finishing notes, and it's burning them out and capping how many patients they can see. Ambient documentation gives that time back.
- Less after-hours charting
- Reduced burnout
- More face time
- Higher throughput
Rolling it out at scale
You want the benefit across hundreds of clinicians and dozens of specialties, integrated with your EHR and your governance. We build for that scale, not a pilot of one.
- Multi-specialty
- EHR-integrated
- Governed rollout
- Measurable ROI
Building it into your product
You're adding ambient documentation to your own platform and need the clinical NLP, the guardrails and the EHR write-back done properly. We build that engine with you.
- NLP engine
- Safety guardrails
- EHR write-back
- Specialty coverage
Pajama time, or ambient AI in the loop
The choice isn't AI versus a human — it's whether the human is writing from scratch or reviewing a good draft.
Either the clinician documents late into the night, or you pay for a human scribe per encounter — expensive, hard to staff and impossible to scale across a system.
- Hours of pajama time
- Costly per-visit scribes
- Hard to scale
- Burnout driver
Ambient capture and clinical NLP draft the note; the clinician reviews and signs. The scale of software with a human always making the final call.
- No after-hours charting
- Scales across the system
- Clinician signs off
- EHR-native
From capture to a coded note
Set up ambient or device-based audio.
Medically tuned speech-to-text.
NLP extracts the clinical content.
Generate the specialty-formatted note.
Clinician edits, verifies and signs.
Write the note and codes to the EHR.
Documentation principles we build by
The convictions that keep clinical AI safe, trusted and genuinely time-saving.
Clinician in the loop
AI drafts; the clinician reviews and signs every note. The model never gets the final word on the record.
Accuracy over fluency
A confident, wrong note is dangerous. We optimize for correctness and flag uncertainty rather than papering over it.
PHI-safe
Audio and transcripts are handled as the sensitive PHI they are — encrypted, access-controlled and consented.
EHR-native
The output belongs in the chart, structured and coded — not in a separate document the clinician has to reconcile.
Specialty-aware
A cardiology note and a behavioral-health note aren't the same shape. We tune to the specialty, not a generic template.
Reduce the burden
The whole point is to give clinicians time back. If it adds work, it has failed, however clever the model.
AI documentation FAQ
Does the AI sign the note?
Never. Ambient capture and NLP produce a draft; the clinician reviews, edits and signs it. The human is always in the loop and always accountable for the record — that's a hard line, not a configurable option.
How do you handle accuracy and hallucinations?
We optimize for correctness over fluency, run guardrails and required-field checks, and flag low-confidence content rather than smoothing it over. A clinician reviewing a clearly-flagged draft is far safer than one trusting a confident, polished, wrong note.
Is patient consent handled?
Yes. Ambient capture means recording a clinical conversation, which carries consent and privacy obligations. We build the consent workflow and treat the audio and transcripts as the PHI they are, end to end.
Will it work with our EHR?
Yes. We integrate over FHIR so the signed note and its codes write back into the chart structured, rather than landing as a separate document someone has to copy across. Integration is part of the build, not an afterthought.
Can it suggest codes?
Yes. We surface suggested ICD-10 and CPT codes and E/M levels with the evidence behind them, so coding is faster and more defensible — but, like the note, the suggestions are reviewed, not applied blindly.
Ready to take the note off your clinicians' backs?
Tell us your specialties and your EHR. We'll design ambient documentation that drafts the note, codes the visit, and keeps the clinician in control.
Talk to our team