Know what your workforce will cost before renewal.
EPHP is a free tool that projects expected annual healthcare cost and chronic-condition burden for any US workforce by ZIP, anchored to CDC PLACES prevalence and MEPS-derived cost coefficients. Need more depth? Custom analytics by gript.io.
Three views into your population's risk.
Every projection is decomposed by ZIP, condition, and demographic mix, so you can defend the number, not just present it.
Workforce Projection
Enter ZIPs and headcount. Get expected annual cost, per-employee benchmark, and condition-level case load with geographic variation bands.
Geographic Explorer
Compare prevalence and cost across states, counties, and ZIPs. Identify hot spots before they become claims.
Condition Profiler
Drill into the ten conditions that drive employer health spend, with evidence-tiered estimates of care-management addressability.
From ZIP list to defensible projection in three steps.
Enter your population
Paste ZIP codes and employee counts, or import from a benefits census. Add age-band mix when you have it.
We anchor to public data
Each ZIP is matched to CDC PLACES tract-level prevalence; cost coefficients come from MEPS. No PHI required.
Export & defend
Download a watermarked PDF with the cost benchmark, decomposition, and addressable savings range.
EPHP is the tip of the iceberg.
The free tool covers ten conditions and ZIP-level cost. For deeper questions: total cost of care, SDOH, pharmacy, behavioral health, equity, gript.io builds the bespoke models, dashboards, and underwriting tools that sit on top of your own claims, eligibility, and HRA data.
Expanded condition coverage
Beyond the core ten, cancer screening cohorts, musculoskeletal, autoimmune, rare-disease panels, maternity, high-cost claimants, and behavioral health & SUD (prevalence, access gaps, virtual-care effectiveness, parity analytics, integrated-care ROI).
Health risk factors
Smoking, obesity, hypertension, lipid panels, A1c, sleep, physical inactivity, modeled as forward-looking cost drivers, not just point prevalence.
Total cost of care
Medical + Rx + behavioral, normalized per member per month, with trend, network, and benefit-design adjustments. Built to mirror your actuarial basis.
SDOH, equity & disparities
ZIP- and tract-level SDOH overlays, food access, housing stability, transportation, broadband, ADI, paired with outcome and access gaps by race, ethnicity, geography, and language to quantify disparities and target interventions defensibly.
Pharmacy & specialty Rx
GLP-1 trajectories, specialty pipeline exposure, biosimilar opportunity, PBM contract benchmarking, formulary impact modeling.
Claims-based calibration
Replace public-data anchors with your own claims to tune cost coefficients, validate projections, and build predictive risk scores.
Mid-market employers
- Project renewal exposure before broker meetings
- Compare wellness vendor proposals against expected burden
- Justify benefit design changes with population-specific data
Brokers & consultants
- Free PDF exports for client conversations
- Defensible methodology your underwriting team will accept
- White-label custom analytics available on request
Health plans & TPAs
- Underwrite group quotes against ZIP-level prevalence
- Validate against your own claims cohorts
- Custom predictive risk scoring on your book
Public data. Transparent math. Auditable outputs.
We don't sell a black box. Every projection ships with its underlying prevalence inputs, cost coefficients, and the demographic adjustment applied, so your actuary, broker, or finance partner can reproduce it.