It documents that you knew errors were possible and signed anyway.
When an AI scribe hallucinates a dangerous drug combination into your Plan — and you sign it — this disclaimer becomes evidence of negligence, not defense against it.
“Doctor, what specific steps did you take to verify the accuracy of this note before you signed it?”
Clinical AI usage is already occurring across healthcare — often before governance, visibility, and sign-moment safeguards are fully established.
AI-generated documentation is probabilistic. Human review is often assumed but not evidenced. Accuracy is not the same as governance. AI-assisted workflows are arriving faster than governance frameworks.
Vaultus is built for the reality that AI-assisted documentation may arrive through formal scribe deployment, informal provider workflows, or near-term organizational adoption.
Vaultus is more than a catch tool. It is a governance layer for organizations navigating AI-assisted documentation workflows — built to evidence review, ownership, and defensibility before signature.
AI proposes, deterministic code disposes. The safety layer uses hard-coded rules only. No language model. No probabilistic output. No hallucination possible in governance.
Evaluate organizational preparedness for AI documentation oversight, identify governance gaps, and establish sign-moment verification protocols.
Structured presentations for clinical and administrative leadership on AI documentation risk, liability exposure, and governance requirements.
Hands-on sessions for clinical teams working with AI-assisted documentation. Emphasis on verification workflow, catch resolution, and attestation discipline.
Assistance developing institutional policies for AI-assisted documentation: acceptable use, verification requirements, and governance accountability structures.
AI proposes, deterministic code disposes. No probabilistic reasoning in the safety path.
Provider review must be evidenced, not assumed. Timestamped attestation at every signature.
Governance credibility requires separation from generation. Vaultus is independent from scribes and EHRs by design.
Every verification, every catch, every resolution — recorded with cryptographic integrity. Append-only.
Safety signals without patient data. PHI is stripped and destroyed post-processing. We cannot leak what we do not keep.
Vaultus does not add clinical facts. Vaultus does not alter signed notes. Vaultus is not a medical decision-maker.
Vaultus does not generate clinical documentation. Vaultus does not add clinical facts. Vaultus does not modify signed notes. Vaultus operates independently from AI scribes and EHR systems because governance credibility requires separation from generation.
This independence is architectural, not aspirational. The entity that verifies cannot be the entity that generates.
Patient information never persists on Vaultus servers. Note content is processed and destroyed immediately. No patient data is sent to any language model. We cannot leak what we do not keep.
The safety layer uses hard-coded rules only. No language model. No probabilistic output. No hallucination possible. Binary pass or fail.
Every verification event is hash-chained and append-only. Safety attestations are tamper-evident by design. Governance records cannot be silently altered.
As the Vaultus network grows, aggregate de-identified governance signals may help illuminate broader trends in documentation safety, workflow instability, and emerging clinical anomalies.
De-identified aggregate safety intelligence may support future research, quality, and public health use cases.