TheFlashAI

Risk Adjustment

Accurate risk, documented with evidence — not guesswork.

Compare current and projected HCC profiles, trend RAF, review documentation completeness, and prepare for RADV — with suspected opportunities always routed to human review.

The challenge

Why HCC & Risk Adjustment

  • Chronic conditions go undocumented year over year.
  • Coding reviews are manual and inconsistent.
  • Audit preparation is reactive and costly.

Guardrail: Suspected conditions are labeled 'Requires review' and are never presented as confirmed diagnoses.

Interactive preview · synthetic data

Average RAF — current vs projected (suspected conditions require review)

Current 0.892 → projected 1.084

Capabilities

What's included

Available in Demo

Current vs projected HCC

See which conditions are captured and which need review.

Available in Demo

RAF analysis & trending

Member and provider-level RAF over time.

Prototype

HCC V28 modeling architecture

Model-version aware mapping layer designed for V24→V28 transition.

Available in Demo

Diagnosis evidence

Each suspected HCC links to supporting labs, meds, or notes.

Planned

RADV audit preparation

Evidence packets and documentation completeness checks.

Prototype

Financial impact scenarios

What-if modeling with transparent, editable assumptions.

Workflow

How it works

  1. 01

    Map diagnoses to HCCs

  2. 02

    Detect suspected gaps

  3. 03

    Attach evidence

  4. 04

    Coder / clinician review

  5. 05

    Documented outcome

Experience TheFlashAI

Explore the interactive demo with synthetic data, or talk to our team about your organization.