Now in Pilot Local-first clinical documentation for nurses

Clinical
documentation,
kept in-house.

On-device AI scribing for nurses and clinicians. Built for health systems that cannot compromise on control.

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Early traction
1st
Carlsen Center Hackathon
3rd
Sac State Pitch Competition
100+
Nurses informing the product
∞
Audit trail depth
The proposition

Fewer tradeoffs between speed and control.

Reducing documentation burden shouldn't mean expanding your risk surface. SecureScribe is designed around that principle.

01

Data stays in your environment.

Audio capture and note generation run on-device. No raw PHI leaves your governance boundary.

02

Nurses finish faster, with review intact.

Structured SOAP output with mandatory clinician sign-off. Time saved, human verification preserved.

03

Deployable without drama.

Local-first architecture means a shorter security review and fewer cloud dependencies to govern.

Design principle

Clinical AI should reduce documentation burden—not expand the number of systems your CISO has to evaluate.

Built for mid-size health systems
Workflow

From conversation to signed note, on-device.

01 · CAPTURE

Record at bedside

Ambient audio captured locally. Patient context attached. No upload required.

02 · STRUCTURE

Generate SOAP draft

On-device models produce structured Subjective, Objective, Assessment, and Plan content.

03 · REVIEW

Clinician verifies

Uncertainty is flagged inline. The clinician edits, confirms, and signs. Nothing auto-files.

04 · ROUTE

Sync to Epic

Signed documentation routes into Epic with a full audit trail attached by default.

Capabilities

Infrastructure depth. Clinical fluency.

Everything required to operate inside a regulated environment, designed to feel native to clinical workflow.

On-device processing
Audio-to-note pipeline runs locally. No cloud in the critical path.
Epic integration
Signed notes route directly into Epic using structured clinical data.
Structured SOAP
Formatted to documentation standards from the first draft.
Review & sign-off
Clinician verification is mandatory before anything enters the chart.
Audit trails
Every session, flag, edit, and approval is timestamped and attributed.
Offline-capable
Documentation continues when connectivity doesn't. By architecture, not luck.
Uncertainty surfacing
The model flags what it can't confirm instead of silently filling it in.
Low-friction UI
Designed with nurses, for shifts that don't give you time to learn a new tool.
Fast implementation
Fewer dependencies means a shorter path from review to pilot.
Deployment

A path your security team can actually evaluate.

Built for health systems where CISO influence is high and implementation complexity is a decision factor.

01 / REVIEW
Security architecture review
Full documentation of data flows, access controls, and audit design — before any commitment.
02 / STAGE
Local environment staging
Deployment scoped to your infrastructure. No multi-tenant cloud to govern.
03 / INTEGRATE
Epic validation
Structured output validated against your Epic environment before pilot launch.
04 / LAUNCH
Pilot with full audit
Audit trails active from day one. Every session logged from the first encounter.
Impact

Documentation burden is an enterprise problem.

It affects adoption, accuracy, retention, and safety outcomes. SecureScribe reduces it in ways that show up on a balance sheet.

~2h
Daily documentation time per nurse in high-burden environments
3×
Documentation overhead as a driver of nursing attrition
100%
Human review retained — no autonomous charting
0
External vendor access to raw PHI

Pilot program now open.

Early conversations focused on mid-size health systems with Epic-integrated workflows and security-sensitive deployment environments.

Request a demo Join beta waitlist