Payers

you cannot act on risk you find a year late. most programs see it after the year has closed.

you cannot act on risk you find a year late. most programs see it after the year has closed.

Risk adjustment, quality performance, and utilization are all constrained by the same structural issue: the underlying data arrives after the opportunity to act on it has passed.

Health plan analyst reviewing dashboards in an open office
Health plan analyst reviewing dashboards in an open office
Health plan analyst reviewing dashboards in an open office

the problem

the data that drives your performance is always a step behind.

the data that drives your performance is always a step behind.

Three things decide the year: capturing member risk accurately, closing quality gaps before they cost you, and managing utilization without compromising care. All three depend on data that sits across claims, clinical records, and supplemental feeds, and almost none of it surfaces in time to act. By the time the gaps and the high-risk members show up in a report, the measurement year is often already gone, and so is the chance to do anything about it.

risk capture that lags the measurement year

quality gaps found too late to close

utilization trends you see only in hindsight

how Hiive helps

see risk, quality, & utilization while you can still act on them.

see risk, quality, & utilization while you can still act on them.

Hiive AI Insights brings your claims, clinical, and supplemental data into one governed environment and surfaces what matters to plan performance, in time to move on it. Your risk adjustment, quality, and medical economics teams get answers in plain language, in their own dashboards, without waiting on a data science team. It's built on an enterprise AI platform with 8 years of production history and deployed in weeks.

Care coordinator taking a phone call at a standing desk

what plan teams use it for

prior auth pattern analytics

see where authorization patterns are creating friction or risk across your network

population health

cohort stratification, readmission prediction, and targeted member outreach

quality & HEDIS

HEDIS gap closure and preventive care targeting, surfaced while the measurement year is still open.

utilization intelligence

monitor throughput and cost trends and forecast high utilizers before they drive avoidable spend

risk model forecasting and gap identification

Forecast risk scores and surface documentation gaps against whichever risk model your program runs on, and capture member acuity accurately and on time.

proof

every insight is traceable. every decision is defensible.

every insight is traceable. every decision is defensible.

Hiive AI Insights is running in production at a leading national health system, not in a pilot. It unifies your claims, clinical, and supplemental data into a single governed layer, with full audit trails on every model and decision. HIPAA and SOC 2 Type II compliant from day one.

governed & audit-ready

HIPAA and SOC 2 Type II, with full lineage on every model and decision, so nothing happens in a black box.

built to reach your data

unifies claims, clinical, and supplemental sources rather than leaving them in silos.

platform maturity

8 years of production AI in large, data-intensive healthcare environments.

find the risk & the gaps while the year is still open.

find the risk & the gaps while the year is still open.

Twenty minutes with the platform and your questions. We will show you what the current reporting cycle is hiding.