Menopathway separates patient experience, clinician delivery, and platform operations so sensitive health data, clinical actions, and administrative controls stay in the right place.
Clinicians retain accountability
AI can support clinicians with structured summaries, pattern recognition, safety prompts, and next-step suggestions. It does not replace clinician judgement or provide autonomous diagnosis.
- Clinician review before care-plan changes
- Accept, edit, or override with recorded reasoning
- Red-flag escalation pathways for urgent or unsafe patterns
Right tool, right boundary
- Vela is the patient-facing app and care timeline
- Menopathway Clinician is the care delivery workspace
- Menopathway Ops & Admin is the founder operations console
- Ops does not expose patient records or clinical notes
Privacy by design
- Consent-based data use and user rights
- Data minimisation and secure storage
- Role-based access control for clinic teams
- Aggregated reporting only for employer or population views
Careful language for a YMYL category
Menopause care sits in a health and safety context. Public claims should distinguish education, tracking, clinician-led care, decision support, and evidence-backed outcomes.
Menopathway should be able to explain who did what, why it happened, what data was used, and where the next clinical responsibility sits.
Actions create records
Invites, clinic membership, care-plan changes, diagnostics activity, and AI suggestions should be auditable.
Outputs need rationale
Clinicians should see the pattern or input behind a prompt before accepting it into care delivery.
Data stays scoped
Patient records remain clinical. Ops views stay global and operational without becoming a backdoor into care records.