AI assists. Nurses remain in control.
Every design decision answers the same question a clinical director will ask first: what happens when the model is wrong?
Four guarantees, and how each is enforced
Not policy commitments — properties of how the system is built.
Source-grounded
Generated documentation is tied to events the nurse actually recorded during the shift. There is no path by which content enters a note without a corresponding documented event.
Missing-field detection
For each required element the classifier returns present or absent. Missing is a trained class, not a fallback — and because the model never writes the narrative, an absent value cannot be filled in downstream.
Nurse review required
AI output is a draft. It stays a draft until a nurse reviews and approves it, and the nurse remains clinically responsible for the final record.
Local processing
Clinical information is processed on facility hardware. No cloud inference step exists in the documentation workflow, so there is no third-party AI vendor holding your PHI.
What happens when the model is wrong
Every clinical AI question eventually reduces to this one. Here are the honest answers.
It mislabels an event
The nurse sees the label during review and corrects it before approving. The event text itself is never rewritten, so the original clinical wording is always there to check against.
It misses a gap
The note posts with an element the nurse did not record — the same outcome as documenting without SecureScribe. It does not make completeness worse than the status quo.
It flags a false gap
The nurse dismisses the flag. Noise costs seconds; a missed requirement costs a citation. The system is deliberately tuned toward flagging.
Common questions
Does SecureScribe replace nursing judgment?
No. It organizes and drafts documentation. The nurse reviews and approves the final record and remains responsible for it.
Can a note post without a human?
No. Review is required, not configurable.
Does patient information leave the facility?
No. Processing is local to facility hardware; no cloud inference is required.
Is patient data used to train a general model?
No. The workflow does not send patient information off-site, so facility data is not routed to an external model provider.
Do we have to replace our EHR?
No. The EHR remains the system of record.
Bring it to your unit.
Scope a two-month pilot with measurable documentation outcomes.
Request a Pilot