Modern healthcare AI needs clinical governance
These pages now connect CTI's research lineage with Regenemm's current clinical AI infrastructure, trust, documentation and care coordination work.
From early wellbeing concepts to clinical systems
The original campaign focused on stress performance, biometric signals and psychometric feedback. The current work is broader: governed healthcare AI that supports clinicians, patients, documentation, coordination and audit-ready workflows.
The through-line remains careful human performance work, but the implementation standard is now healthcare-grade: clinical review, provenance, consent, privacy, security and measurable product quality.
Where this work now points
Use these refreshed pages as topical gateways into today's CTI and Regenemm work: clinical communication, secure AI documentation, patient clarity, consent-first sharing and responsible automation.
Resource pathways with clinical restraint
This page is updated from a broad mental-health campaign reference into a careful healthcare AI position: signpost trusted resources, preserve clinical context and avoid implying crisis or treatment capability.
Trusted resources
Public resources can help, but they need to be presented as support, not as a substitute for clinical care.
Clear boundaries
AI-supported health communication should not imply diagnosis, treatment or emergency support.
Clinician context
Resource suggestions are safer when linked to a reviewed clinical conversation and patient context.
Escalation awareness
Workflows should make it clear when urgent human help or specialist review is needed.
Patient language
Sensitive topics require language that is practical, respectful and not alarmist.
Governance
Resource pathways need review, provenance and accountability around what is shared.