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MMC Wellness
AI longevity dashboard

AI Health Intelligence Precision Prevention, Edited

Trajectory dashboard
What It Does

From scattered data to a single trajectory.

Without integration, your healthspan data lives in a dozen places: lab portal A, wearable app B, genomic vendor C, the imaging clinic's portal, the cardiologist's notes, the family-medicine record, the fitness platform. Each tells a partial story. AI Health Intelligence pulls these streams into one coherent annual healthspan trajectory — fusing lab panels, multi-omics, wearable telemetry, and structured assessment results into a single dashboard your advisor reviews with you each quarter. The dashboard flags deviations early: a slow downward drift in HRV that precedes a sleep-architecture change by weeks; a creeping ApoB despite stable LDL; a subtle decline in VO₂ max trend that warrants attention. It prioritizes the levers that matter most for each member individually — not a generic protocol, but the specific 3-5 interventions where evidence suggests your trajectory will most respond.

Member with advisor
Boundaries

Advisory analytics — not a medical device.

The AI is not a Health Canada-approved diagnostic device. It does not diagnose, prescribe, or replace clinical examination. What it does is provide an interpretive layer that supports member education, advisor planning, and partner-clinic conversations. When the AI surfaces an early-warning signal, the workflow is: advisor reviews → discussion with member → if clinically warranted, referral to a partner-clinic physician or back to your family doctor with structured documentation. The diagnosis, prescription, and procedure decisions are made independently by licensed clinicians under standard Canadian regulatory care. This separation is structural, not cosmetic — it shapes what the AI is allowed to do and what we recommend you do with its outputs.

Privacy architecture
Privacy Architecture

Your data, on your terms.

The AI Health Intelligence layer runs on infrastructure designed for sensitive health data: PIPEDA and BC PIPA compliant, encryption at rest and in transit, role-based access control with auditable logs of who viewed what and when, and clear data retention policies. We do not train external commercial models on your data. You can request a complete export of your data in standard formats at any time, and you can request destruction. The model layer that powers the analytics uses aggregate de-identified patterns where appropriate and personalizes to your record locally; we are explicit about this architecture because it is the difference between a tool that earns your trust and one that quietly monetizes you. The default is privacy; member-explicit consent governs every additional data flow.

Frequently Asked

Is the AI making medical decisions?

No, and any clinic that tells you AI is making medical decisions for them is either overstating capability or under-respecting the regulatory framework. The AI provides advisory analytics for members and their health advisors. All diagnoses, prescriptions, and procedures are decided independently by partner-clinic licensed physicians under standard Canadian regulatory care. The separation is structural, not cosmetic.

Where does my data live?

On infrastructure compliant with PIPEDA and BC PIPA. Encrypted at rest and in transit. Role-based access with auditable logs. You may request a complete data export in standard formats or full destruction at any time. We do not train external commercial models on your data.

Can I bring my own wearable?

Yes. Major wearables (Oura, Whoop, Apple Watch, Garmin) and CGM platforms (Dexcom, Libre) integrate via standard health-data protocols. Your steward will assist with onboarding and confirm which streams contribute most to your particular trajectory.

How does the AI compare to publicly available health AI tools?

Public health-AI tools are typically general-purpose and trained on broad datasets without longitudinal member context. The MMC AI is purpose-built for longitudinal longevity-medicine practice, trained on the specific marker patterns that matter in this space, and personalized to your individual record over time. It is also explicitly bounded as advisory analytics, not a diagnostic device.

What if the AI surfaces a worrying signal?

The workflow is: advisor reviews the signal → discussion with you to provide context → if clinically warranted, structured referral to the appropriate partner-clinic physician or to your family doctor with documentation. We do not push alerts directly to members in raw form, because raw signals without clinical context are more often anxiety-producing than action-guiding.

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