CCX Audit Recoupment Risk Detection Layer identifies documentation inconsistencies across systems that create Audit Recoupment Exposure. It does not replace or modify existing systems. It reconstructs unified audit-ready records from cross-system documentation signals.

Transformation Specification

Audit Recoupment Reconstruction Framework

CCX passively observes and interprets fragmented system signals into structured, Audit-Ready Canonical Records. This framework ensures Audit Recoupment Exposure transparency across Social Care Networks (SCNs) without requiring system migration.

01 Vision & Audit Context

Audit Recoupment Risk Context

The CCX methodology is built on the principle that fragmented or incomplete documentation creates measurable audit recoupment risk under NYHER and CMS compliance frameworks. CCX provides infrastructure to reconstruct defensible records across SCN networks. In the context of the New York 1115 Waiver (NYHER), SCN lead entities and MCOs face significant risk from unstructured documentation that fails to meet rigorous regulatory standards. CCX provides the infrastructure to bridge this gap, ensuring that every encounter is captured in a defensible, permanent format.

02 Audit Defensibility Scoring (MEAT Framework)

MEAT Validation Logic

Audit defensibility is assessed through deterministic validation of the MEAT (Monitor, Evaluate, Assess, Treat) framework. Our system scores documentation based on its ability to withstand regulatory scrutiny by verifying that the social care intervention is clearly linked to a member need and provider action.

Monitor

Evidence of ongoing assessment.

Evaluate

Assessment of treatment response.

Assess

Connection to clinical/social diagnosis.

Treat

Execution of the intervention plan.

03 Deterministic Process Layer

Audit Recoupment Reconstruction Workflow

Unstructured documentation undergoes a deterministic three-step transformation to achieve audit-ready status.

01 Audit Schema Mapping

Maps disparate intake data into USCDI v3 and NYS 1115 statutory schemas.

02 Defensibility Verification

Executes integrity checks to verify documentation completeness and defensibility.

03 Risk Signal Assignment

Assigns record integrity signals to network performance and VBP risk profiles.

04 Audit Recoupment Exposure Modeling

Risk Reduction Potential

The following models estimate Audit Recoupment Exposure resulting from fragmented documentation.

Audit Throughput Gain (Recoverable)

Quantifies manual documentation burden (22m baseline) vs. CCX-structured record reconstruction (7m), identifying material Audit Recoupment Risk Reduction measures.

Audit-Induced Administrative Burden

Estimates rework costs and staff time diverted to resolving documentation-driven denials and clarification loops.

05 Recoupment Risk Projection Logic

Audit Recoupment Exposure Formula

\(\sum(L)\): Aggregate Audit Recoupment Exposure (Audit-induced burden + administrative friction).
Audit Failure Rate: Probability of audit recoupment based on documentation non-compliance patterns.
Audit Probability: Regional regulatory audit likelihood for social care interventions.
Scaling Factor: Extrapolation multiplier projecting sample errors across network volume.

06 Network-Level Audit Recoupment Signals

Visibility & Performance Management

The CCX Network Map provides real-time visibility into documentation hotspots across the SCN. These signals allow lead entities to identify nodes with high Audit Recoupment Exposure and prioritize corrective capacity-building investments.

Audit Defensibility Score (Distribution Logic)

07 NYHER Capacity Building Risk Detection

Infrastructure Investment Eligibility

CCX is designed as a foundational infrastructure layer that supports Social Care Network core capabilities. As such, implementation is eligible as a capacity-building investment under the NYHER framework, aligning documentation standards with sustainable Medicaid funding.

08 Permanent Ledger Defensibility

Permanent Audit Trace

Every documentation event is secured within a permanent audit ledger. This trace ensures that documentation remains fully defensible during future regulatory audits, providing a verifiable record of integrity.

09 Methodology Foundations

Research-Based Benchmarks

Default system values are conservative and based on health informatics research and early-stage SCN pilots.

Parameter	Research Benchmark	Source Baseline
Manual Documentation Baseline	~22 minutes / record	Ambulatory care burden research
Audit Extrapolation Rate	3.0x – 5.0x multiplier	Regulatory recoupment patterns
SCN Admin Overhead	~38% of coordination time	Social care navigator time-and-motion

References

NYHER 1115 Waiver: New York Health Equity Reform (1115 Waiver) guidelines regarding Social Care Networks, documentation of social interventions, and capacity-building eligibility (NYS DOH).
18 NYCRR §521: New York Codes, Rules and Regulations regarding provider compliance programs and prevention of Medicaid fraud, waste, and abuse.
CMS Medicare Program Integrity Manual: Chapter 3 - Verifying Potential Errors and Taking Corrective Actions. Requirements for sufficient documentation and MEAT framework logic application.
USCDI v3: United States Core Data for Interoperability standards for standardizing social determinants of health (SDOH) assessments and interventions.
AMIA 25x5: American Medical Informatics Association (AMIA) Task Force on Reducing Documentation Burden. Benchmarks for structural transformation vs. manual effort.

10 Stakeholder Decision Framework

Interpreting Audit Recoupment Risk Signals for Action

For SCN Lead Entities

Identifies high-risk documentation nodes contributing to Audit Recoupment Exposure and informs where targeted capacity-building funds should be deployed to reduce network-wide risk.

For MCO Risk Managers

Provides visibility into audit defensibility levels across the network to support VBP and compliance risk management, reducing uncertainty in VBP reporting and funding alignment.