The vision
The data flywheel
Every wearable, lab, visit, and home device feeds one record. AI turns that into early signals and next-best actions for the care team. Better data → earlier intervention → better outcomes → more trust → more enrolled patients → more data. The whole system compounds on it.
North star Be the #1 city in the country for active patient-portal enrollment — residents who've linked Apple Health / Google Health, share their wearable data, and use the portal to manage their health. That engagement is the prevention infrastructure.
For providers
AI + datasets in clinicians' hands
- Ambient documentation so clinicians face the patient, not the screen.
- Risk stratification & care-gap surfacing on the whole panel — who's trending toward an admission this week.
- Population dashboards for the interdisciplinary team to build & track shared plans.
- Decision support grounded in the organization's own outcome data — what actually works for our population.
Guardrails Clinician-in-the-loop, bias monitoring, and clear governance. AI augments the team's judgment; it never replaces consent or clinical accountability. HIPAA + data-use transparency by default.
For patients
The connected, rewarded patient
Wearables → EMR Watches, CGMs, BP cuffs, scales sync into the record & RPM. The patient and the team see the same trends.
Set-up help We make linking Apple Health & Google Health effortless — onboarding at every touchpoint, in every clinic, school, and employer.
Rewards for prevention Members who engage and whose data shows health improving share in the savings. Contribution & outcomes earn real value.
Frontier data, handled responsibly Genetic testing, methylation, and other deep datasets can personalize prevention — offered with explicit consent, strong privacy, and evidence-based interpretation. Patients own their data and choose what to share.
Metrics & risks
Measure & manage
Metrics
- % residents with an active portal account & linked health app
- Wearable-connected patients & data completeness
- Care gaps closed via AI prompts
- Rewards earned ↔ measured prevention
Risks
- Privacy, security & consent (the trust foundation)
- AI accuracy, bias & clinician adoption
- Interoperability across devices & the EMR
- Equity — don't widen a digital divide