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The right intervention, sooner.

MA plans, PBMs, and risk-bearing organizations act on Stars, HEDIS, and rising-risk before it escalates — grounded in resolved member context, not stale, fragmented signals.

The problem

By the time the signal is clean, the moment has passed.

Risk shows up late and scattered — across claims, pharmacy, and labs that reconcile months after the fact. Outreach fires on outdated lists, and the members who needed it most are already in the ED.

The suite

The building blocks a payer team assembles.

Payers compare members against the population, resolve the individual, and trigger the right action — with a clinician on the decision.

Knowledge Base

Coverage & guidance

Formulary, benefit, and guideline logic ground every intervention in what's actually covered and indicated — no PHI, no BAA.

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Clinical Context

Population & member, resolved

Compare a member to similar populations and pull their resolved, enriched view to see rising risk early. Population analytics is de-identified; member-level needs a BAA.

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Agent Skills

Targeted, safe outreach

Clinician-approved process areas + integrations — rising-risk outreach, for example — that your agent calls via MCP, each built to defer the decision to your clinician.

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You build, host, and run the agent — ContextRx powers it via MCP, and your clinician makes every call.
What it changes

From lagging lists to live signal.

Risk surfaces earlier

Members are compared against the population and resolved individually, so rising risk shows up sooner.

Interventions that fit coverage

Coverage and guideline logic mean outreach is grounded in what's covered and clinically indicated.

A clinician on the call

Every recommendation is built to end with a human sign-off — outreach is targeted, never automated blindly.

The patient outcome

Members get the right intervention sooner.

Reach the right member at the right moment.

Tell us about your population and your Stars and HEDIS goals. We'll show you the knowledge, context, and skills that move them.