You are already paying for every failed prescription. Navi8 makes the first one more likely to work.
Self-insured employers carry roughly 10% year-over-year healthcare cost growth, and a large share of it is trial-and-error: repeat visits for the same condition, side-effect cascades, and medications that were never going to fit the person taking them. Navi8 gives every covered household sequence-driven guidance — and gives you the aggregate, anonymized view of what changed.
Move the adoption slider. Watch what personalized prescribing does to the bill.
Baseline figures are from a representative self-insured population of 3,757 employees. Enter your own headcount and the model scales the baseline; the impact factors reflect reduced trial-and-error prescribing, fewer side-effect cascades and fewer repeat visits as adoption rises.
Model assumptions: medical cost reduction 0.35% and Rx cost reduction 0.55% per 1% adoption; repeat visits −0.75% and prescriptions per member −0.68% per 1% adoption; implementation cost $120 per adopting employee per year; 5-year figure includes a 15% cumulative population-health improvement. Illustrative planning model, not a guarantee of savings; pilot outcomes will replace modeled factors as they are published.
Aggregate, anonymized, longitudinal. Never an individual.
The Employer Dashboard reports on your insured population as a whole: adherence, covered versus non-covered Rx spend, repeat visits, and the measured impact of Navi8-recommended prescriptions, alternatives and dosages. It projects risk and cost forward, and it supports decisions — including dietary and functional-medicine pathways — without ever exposing a member.
Navi8-recommended alternatives and dosage adjustments accounted for $1.6M of avoided spend this plan year.
- Doctor visits per member−1.4
- Side-effect reports per 100 members−31
- Harmful interactions flagged before dispense412
- Dosage adjustments adopted1,207
- Same-class alternatives discussed with clinician2,340
Population statistics
Adherence, spend, repeat visits and prevalence by condition — aggregated with k-anonymity thresholds so no member is ever identifiable.
Longitudinal projections
Risk and cost projected forward by cohort, with and without Navi8, so benefit design can be planned on evidence rather than trend lines.
Reporting
Plan-year and quarterly reports, exportable to PDF and CSV, aligned to the way your broker and finance team already read the numbers.
Decision support
Where dietary and functional-medicine pathways could substitute for or complement pharmaceuticals across the population — surfaced as benefit-design options.
Households get the app. You get the aggregate.
Covered lives are households, so the same app and the same pipeline that serve a family also serve a population contract. Employees onboard once; every member of their household can be linked; the Employer Dashboard reports on the whole.
- Pilot cohort — a defined population, a baseline from your claims data, a 12-month read-out.
- Population fee + analytics — priced per covered life, with the dashboard and reporting included.
- De-identified by design — Safe Harbor and expert-determination protocols; contracts prohibit resale or re-linking.
- Aggregate claims baseline: medical and Rx spend, visit counts, top conditions.
- A benefit-communication channel to invite employees and their households.
- A named owner on your benefits or finance team for the quarterly read-out.
Member-level identities, sequences or health records. Members join Navi8 themselves, own their data, and are reported to you only in aggregate.