HEALTHTECH · · 52% time saved per clinician/week

Ambient scribing for ambulatory care.

RAG-grounded scribe agents that generate clinician-ready notes from ambient audio with source-linked citations.

The problem

Documentation burden is the single biggest driver of clinician burnout. Existing scribing tools generated text — but not the structured note clinicians could sign. Citations to the source utterance were essentially nonexistent.

Ambient capture existed as a demo; production needed citations, PHI boundaries, and an audit trail the compliance team could defend.

Our approach

We built a scribe pipeline with two non-negotiable invariants:

  1. Every claim has a source. The clinician can hover any sentence and see the ambient transcript span that produced it.
  2. Templates are owned by the clinical team. Note structure (SOAP, narrative, etc.) is defined per-specialty; the agent fills the slots.

RAG-grounded scribe agents draft clinician-ready notes from ambient audio. Human review stays in the loop for sign-off.

The first version we shipped had a 12% citation-failure rate. The third had 0.8%. The evals caught every regression.

— Eng lead, Healthtech, US

Architecture notes

Data and agent lanes: ambient capture → chunking → retrieval → draft → citation check → clinician sign-off. Interactive portal embeds (architecture diagram, sample run) stay app-local; this CMS body is the narrative.

Outcomes

MetricResult
Time saved / clinician / week6.5h (52%)
Citation-failure rate0.8%
Clinician sign-off rate94%
Notes with source citations100%
Escalations to human rewriteunder 8%

For the first time in five years, I left the clinic on time. The notes were waiting for me, with the right sources.

— Attending physician, Outpatient, US

START

Ship the first system.

Fixed-price discovery in 2 weeks. You leave with an architecture, a working spike, and a build plan.