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 app concept to workflow infrastructure
The older page reflected an early mobile health product. The current direction is broader: clinician-facing AI assistance, patient summaries, referral and GP-letter support, secure document movement and auditable review.
Updated from 2020
The original page described a smaller app concept. The 2026 update reflects a wider clinical AI infrastructure direction.
Documentation workflows
Current Regenemm work supports clinical notes, patient summaries, letters and structured records that clinicians can review.
Communication support
The platform direction includes patient clarity, GP communication and care coordination rather than isolated self-tracking.
Governance layer
Outputs need provenance, audit status, consent boundaries and clear human approval pathways.
Secure operations
Healthcare workflow software must treat access control, privacy and secure document handling as core product requirements.
Practical product focus
The aim is useful clinical infrastructure that reduces friction in real care, not a generic AI wrapper.