Financial Stability.  Complete Reconciliation.  Validated Risk.

ACA Marketplace

A smarter ACA risk adjustment strategy starts here.

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ACA

Overview

The Affordable Care Act (ACA) presents health plans with a uniquely challenging environment: high member churn, limited retrospective visibility, and tight margins in a zero-sum risk adjustment program. Most plans struggle to track risk accurately across years and lines of business—especially when prior data comes from Medicaid or Commercial sources. 

Invent Health’s ACA solution delivers end-to-end visibility, actuarial-grade accuracy, and seamless EDGE submission alignment, helping health plans maximize their net transfer payments while improving preventive care engagement. 

Whether you’re dealing with fragmented claims, bundled encounters, or limited suspecting capabilities, our platform brings order, automation, and intelligence to the ACA risk adjustment process. 

Highlights

Key Capabilities

Gaps from Date-of-Service Overlap Resolution

Detect and close gaps due to data collision, overlap, or timing discrepancies.

Real-Time Dashboards & Risk Score Tracking

Monitor gap closure, submission readiness, and forecasted RAF impact across cohorts.

Invent Health for ACA Marketplace

ACA Risk Adjustment

Affordable Care Act

Specific Differentiators

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Schedule a demo and see how Invent Health transforms your ACA Risk Adjustment performance. 

Frequently asked

ACA risk adjustment and EDGE submissions


Why ACA risk adjustment behaves differently from Medicare, and what small and mid-size plans should ask for.

Why is ACA risk adjustment harder than Medicare Advantage risk adjustment?

Because it is zero-sum and the data window is short. ACA risk adjustment redistributes money between plans in a market rather than adding it, so a plan that runs an average program in an above-average market still loses transfer payments.

On top of that: high member churn, limited retrospective visibility, and tight margins. Prior-year data often comes from Medicaid or Commercial sources, which makes cross-year suspecting difficult exactly when it would be most valuable.

What should a small or mid-size health plan look for in ACA risk coding tools?

Prioritize the things that are structurally hard rather than the things that demo well.

HHS-HCC risk modeling and forecasting, so the plan can predict net transfer payments and revenue impact across risk corridors rather than discovering the result after reconciliation. Complete EDGE submission support with RARSD and ECD reconciliation and submission readiness checks. Cross-year and cross-line-of-business integration that links prior-year Medicaid or Commercial data to fill historical gaps.

Then two that are specific to ACA populations and routinely missed: bundled claim and mother-infant claim unbundling, which extracts missed conditions from bundled visits and birth-related claims, and date-of-service overlap resolution, which closes gaps caused by data collision or timing discrepancies.

For a smaller plan the deciding question is usually whether chart chase can be prioritized by expected ROI against EDGE deadlines, because the chase budget is the binding constraint.

What does complete EDGE server submission support involve?

Compliance with full RARSD and ECD reconciliation, plus submission readiness checks before files go to the EDGE server.

Readiness checks are the part that protects the transfer payment. An EDGE submission that fails validation after the deadline is not a data problem to fix next cycle, it is risk that goes unrecognized for the benefit year.

How do you find risk in bundled and mother-infant claims?

Through custom unbundling logic that extracts missed conditions from bundled visits and birth-related claims.

This is a meaningful gap in ACA populations specifically. Maternity and newborn care generate bundled claims where individual diagnoses are not separately visible, so conditions documented during the episode never surface to the risk model without logic written for that claim structure.

Can prior-year Medicaid or Commercial data improve ACA suspecting?

Yes, and for a churning ACA population it is one of the highest-value inputs available. Cross-year and cross-line-of-business integration links prior Medicaid or Commercial coverage to improve suspecting accuracy and fill historical gaps.

A member who moved from Medicaid to a Marketplace plan carries a documented condition history that the ACA plan cannot see from its own claims, and a chronic condition does not restart because the coverage did.

How do we track ACA risk score performance during the benefit year?

Real-time dashboards track gap closure, submission readiness, and risk score movement during the year rather than after reconciliation.

In a zero-sum program, in-year visibility is what makes intervention possible. A result you only see at reconciliation is a result you can no longer change.

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