Loading...
Loading...
Regenemm is designed so AI assists clinical workflows without replacing clinical responsibility.
The safety model is built around evidence, human review, consent-aware sharing, source provenance, release gates, and durable Hub audit.
Clinical artifacts should trace back to consultation evidence, patient context, prior records, or clinician-supplied information. A polished document is not trusted simply because it reads well.
AI-generated material begins as draft material. Material clinical use, external disclosure, patient-facing release, billing action, and medicolegal reliance require the right review path.
Patient-facing summaries and education are clinical outputs with their own safety standard: clear, accurate, bounded, and aligned with what was discussed.
Sharing is scoped by purpose, recipient, authority, and expiry. The default posture is not to share externally unless the workflow has the right consent and release state.
Movement through the lifecycle depends on role, evidence, verification, review, consent, and release controls. Output speed does not remove review responsibility.
Clinicians and authorised care-team members remain responsible for clinical reliance and release.
Outputs should preserve the connection between source material, evidence, edits, and release history.
If review, consent, identity, or audit cannot be satisfied, the governed action should not silently proceed.
Clinical notes, patient summaries, referrals, education material, handovers, and billing evidence are not interchangeable.
State transitions and release actions should be recorded as workflow evidence, not reconstructed from operational logs.
Agent roles are constrained by purpose, data access, tools, parent workflow, and human review requirements.
Clinician-oriented documentation for review, correction, approval, and durable recordkeeping.
Plain-language explanation that supports understanding without drifting from clinical truth.
Recipient-aware context for continuity across hospitals, home care, rehabilitation, allied health, and family support.
Operational preparation and evidence references that do not become clinical truth or replace review.
Source-bound chronology and evidence packaging with stricter provenance and disclosure controls.
FHIR, HL7, EMR, or My Health Record pathways that carry only approved and appropriately scoped content.
AI may assist with drafting, retrieval, summarisation, workflow checks, and evidence preparation.
Clinicians decide when clinical reliance is appropriate.
Patients control sharing where patient-controlled release is part of the workflow.
Audit persists through the Hub.