The clinical counterpart to a personal prevention layer.
Public health sets the priorities. Primary care handles medical accountability. A personal companion like InVivo helps people generate useful daily evidence and follow low-cost prevention plans. ProvidEHR is the governed record and population-health layer that receives it — turning behaviour into care without becoming a diagnosis engine.
InVivo is the personal prevention layer; ProvidEHR is the governed clinical record and population-health counterpart it reports into.
Daily evidence, small actions
Risk forms every day, but the system sees people once a year. A personal prevention layer like InVivo helps people capture meals, sleep, readings and labs, follow low-cost plans, and prepare for care — without diagnosing or prescribing.
A scoped packet, not a data dump
What changed, what was measured, what's missing, what was tried, adherence and burden, and questions for review — composed into a concise, source-cited packet that lands in the governed clinical record for clinician attestation.
Consented, aggregate-safe learning
Which low-cost interventions people actually complete, which groups aren't engaging, which plans improve markers without adding burden — reported as small-cell-suppressed, consented cohort learning, never individual surveillance.
The best models for prevention — governed, on one record.
Not a chatbot and not a single model: a governed, multimodal early-signal engine. The strongest published models for wellness, prevention and population health surface early, source-cited risk on the patient twin — anchored on the AHA PREVENT protocol, with a sharp focus on the earliest signals of heart disease — and the prevention loops act on it under attestation, consent and audit.
PREVENT risk engine
AHA PREVENT 10- and 30-year risk for ASCVD, heart failure and total CVD — cardiovascular-kidney-metabolic aware, the backbone of the 2026 CKM guideline.
AI-ECG early warning
Asymptomatic low ejection fraction and atrial fibrillation read from a single- or 12-lead ECG, before symptoms — the earliest structural signal.
Oculomics
Cardiovascular risk and major adverse cardiac events predicted from a retinal photo — non-invasive, suited to population-scale screening.
Wearable PPG signals
Phone-camera and wearable photoplethysmography from InVivo → continuous AF screening, blood-pressure estimation and cardiovascular profiling.
Cardiac nudge → clinician review
An on-device ECG finding from InVivo (QTc, ST-T, wide-QRS) arrives as a source-cited, consent-scoped packet in the cardiology review inbox — ProvidEHR decides whether to surface or escalate. Decision support from a single-lead wearable, never an autonomous alarm.
Voice biomarkers
A 30-second voice capture surfaces a coronary-risk signal and tracks heart-failure congestion — earlier and more sensitively than daily weights.
Integrated genomic risk
A coronary polygenic risk score fused with PREVENT reclassifies younger and intermediate-risk patients the clinical score alone would miss.
Multimodal population model
A foundation model fuses every signal with the record and social determinants for cohort risk stratification and the next best action across the panel.
Closed-loop calibration
Every prediction is linked to what actually happened. Each model's calibration and discrimination are measured on your own population — per subgroup — drift is detected, and a governed recalibration is applied, so a risk shown to a clinician means what it says, here.
Prevention K-lines
When a care pathway repeatedly improves outcomes for a given risk signature — proven on your own population through the intervention ledger, not prediction alone — it is promoted under governance into a certified reflex: the next matching patient surfaces the validated plan instantly. Procedural memory for prevention. A clinician still accepts every time; stale reflexes are retired.
Governed by design
Every model output is source-cited, confidence- and subgroup-gated, consent-scoped and clinician-attested before it touches the record. Decision support, never autonomous diagnosis.
Research-grounded and rolling out under clinical governance. Each model is a swappable, intended-use-labelled provider behind one signal interface — best-of-breed today, upgraded as the science moves. And because every prediction is linked back to the outcome and recalibrated on your population, the platform gets measurably better over time — and can prove it. Models inform clinicians; they never act autonomously.
Patient-led experiments become governed prevention evidence.
InVivo Experiments turns wellness folklore into pre-specified, randomized, safety-screened n-of-1 trials. ProvidEHR turns those patient-led experiments into governed prevention evidence: consented, source-grounded, federated, and linked to clinical outcomes — without centralizing raw personal data.
Consented
Each claim is a distinct, withdrawable opt-in. Because experiment data can touch care, linking results to the clinical record is a separate consent beyond general research uploads.
Source-grounded
Every reading carries time, source, method, confidence, and consent scope; baseline labs or validated scores anchor the endpoint — auditable evidence, not self-reported anecdote.
Federated
Phones compute each person's effect locally and contribute only secure-aggregated summaries — never raw readings — with small-cell suppression before anything is reported.
Governed verdict
An inverse-variance cohort estimate is judged against a pre-specified minimum worthwhile effect, with adverse-event stop rules and a strict supported / not-supported / subgroup / inconclusive vocabulary — never 'proved'.
Linked to outcomes
Promotion to clinical-grade requires pre-registration, CONSORT-style reporting, external validation, and clinician review — then the verdict can inform CarePlans and is tracked against real care outcomes.
ProvidEHR can say which patient-led experiments helped, which did not, and when burden or risk outweighed benefit — preserving privacy throughout. Experiments that change prescribed therapy are clinician-directed, never self-started. That boundary — wellness and clinician discussion — is part of the evidence.