Consent confirmed before the session opens, not assumed
QiXHealth profile
Telehealth
Supervised profileGoverned AI for remote consultations and virtual care — where consent must happen before the call starts, not after.
Built for clinics running video and remote appointments that need AI support without leaving consent, patient-data handling, or session auditability to chance.
What this profile gives you
Default safeguards and workflow shaping for telehealth teams.
Patient identifying details handled before any model call
Crisis detection active for remote-only presentations
Prescribing boundaries enforced regardless of consultation format
Full session record retrievable after every governed query
How the profile is shaped
The operational decisions this care-setting profile makes up front.
Each profile is designed to reduce setup ambiguity by carrying the most important care-setting assumptions into onboarding from the start.
Consent before the call
A pre-session SMS confirmation step is built into the workflow so remote patients have actively acknowledged consent before a governed query runs.
Safety boundaries for remote care
Crisis detection and prescribing boundaries are configured by default. Remote-only consultations carry additional risk and the governance posture reflects that.
Supervised mode with review support
When clinical uncertainty is flagged, a roundtable review path is available. The default posture is supervised rather than autonomous.
Coverage and fit
Where this profile is prepared to operate and what posture it assumes.
Jurisdiction coverage
- Australia
- New Zealand
- HIPAA-aligned paths for US-linked clinicians
Governance posture
Supervised by default
This is the starting mode attached during onboarding. It helps the clinic begin with a posture that matches the care setting before local admin adjustments are made later.
Open the preselected intake pathNext step
Start with the telehealth intake path.
This preselects the care setting in Console so your clinic does not need to restate the same context during the first onboarding conversation.