Fraudulent or Abusive Billing Uncovered Through EVV Audits and Investigations
Definition
Federal oversight documents state that EVV was explicitly developed to address weaknesses in personal care services that contributed to improper payments and significant fraud, such as billing for visits not rendered or inflated hours. As EVV data becomes available, OIG and state Medicaid program integrity units use it to identify and pursue fraudulent patterns, leading to recoupments and, in some cases, civil or criminal penalties for agencies and individuals.
Key Findings
- Financial Impact: Fraud cases in personal care and home health routinely involve hundreds of thousands to millions of dollars in improper claims over multiple years; when EVV data is used to prove overbilling, providers can face full recoupment plus penalties, effectively wiping out years of revenue for the implicated programs.
- Frequency: Monthly
- Root Cause: Weak supervision of field caregivers, reliance on self-reported paper timesheets, and fragmented oversight in services for the elderly and disabled created opportunities for systematic overbilling; EVV data now exposes these schemes and drives aggressive recovery actions by payers and regulators.[2][3][7]
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Services for the Elderly and Disabled.
Affected Stakeholders
Agency owners and executives, Billing managers, Frontline caregivers engaged in falsifying visits, Compliance and legal staff, State Medicaid fraud control units
Deep Analysis (Premium)
Financial Impact
$100,000 - $1,000,000 annually per AAA from undetected improper payments; regulatory fines from state if fraud is discovered; loss of Medicaid contract if non-compliance is flagged; liability for federal False Claims Act. β’ $100,000 - $1,500,000 per LTCI carrier annually from fraudulent claims; claims recoupment and investigation labor; subrogation case costs; coverage disputes with beneficiaries. β’ $100K-$1.5M+ per claimant recoupment; policy credibility damage if widespread
Current Workarounds
Beneficiaries/EORs track caregiver hours manually; verbal agreements; WhatsApp timekeeping; delayed EVV entry; manual reconciliation when disputes arise β’ Billing Specialist works with AAA program coordinator to manually review and negotiate claim adjustments; uses spreadsheets to track disputed amounts β’ Billing Specialists manually compare EVV reports to submitted claims; adjust records retrospectively; negotiate with state post-audit
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Medicaid Claim Denials and Non-Payment Due to EVV Data Errors
Increased Administrative and IT Overhead to Maintain EVV Compliance
Cost of Poor Visit Data Quality Leading to Rework and Corrective Actions
Slower Time-to-Cash from EVV-Linked Claim Holds and Audits
Lost Care Capacity from EVV-Driven Administrative Burden on Field Staff
State and Federal EVV Non-Compliance Penalties and Funding Reductions
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