Trust
Clinical safety, governance & compliance
Designed for UK digital health expectations: privacy, auditability, explainability, and clinician oversight. This page is written in procurement‑friendly language.
Human‑in‑the‑loop
Clinicians retain accountability
AI supports clinicians with structured insights, risk flags, and optimisation suggestions. It does not provide autonomous diagnosis. Clinicians remain responsible for final decisions and documentation.
- Explainable outputs with rationale
- Accept/edit/override with recorded clinician reasoning
- Clear escalation pathways for red flags
Governance
Standardisation across a decentralised network
- Credentialing and clinician onboarding
- Protocol libraries and templates
- Audit trails for clinical actions and AI suggestions
- Monitoring and quality improvement loops
Data protection
Privacy by design
- Consent‑based data use and user rights (access, portability, erasure)
- Data minimisation and secure storage
- Role‑based access control
- Anonymised, aggregated analytics only for employers/public sector
Claims
Advertising and clinical claims
Product claims should align with evidence and UK guideline expectations, clearly distinguishing education, decision support, and clinician‑provided care.
Tip: Keep outcomes language focused on engagement, continuity, and pathway quality unless validated trials support clinical outcome claims.