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.
From personal insight to governed clinical context
This update keeps the early Regenemm interest in personal health signals, but places it inside the current body of work: AI-supported documentation, provenance, patient summaries, care coordination and clinician-approved communication.
Updated from 2020
The original page centred on personal stress insight. The current version expands that into clinical context, documentation and review.
Provenance matters
Useful insight should show what transcript, document, referral, image or record context shaped the output.
Clinician-reviewed
Regenemm's current direction keeps clinical judgement with the clinician while AI supports structure, recall and communication.
Patient clarity
Insight should help patients understand what was discussed, what was decided and what follow-up may be needed.
Record-aware workflows
Clinical insight needs to connect back to notes, letters, summaries and auditable workflow events.
Safe automation
The goal is disciplined assistance, not unsupported interpretation or autonomous clinical decision-making.