Lost Care Capacity from EVV-Driven Administrative Burden on Field Staff
Definition
Caregivers serving elderly and disabled clients spend additional time dealing with EVV clock-ins/outs, troubleshooting app or FOB issues, and calling support lines, which reduces the time available for billable care. Providers and technology vendors describe EVV as adding new tasks compared with prior paper-based workflows, and this time is rarely fully billable.
Key Findings
- Financial Impact: If aides lose even 10 minutes per shift to EVV-related tasks across 100 visits per day, that is ~1,000 minutes (~16.7 hours) of lost capacity daily; at $25 fully loaded cost per care hour, this is roughly $10,000 per month in capacity loss.
- Frequency: Daily
- Root Cause: EVV systems must capture multiple data elements in real time and often require device navigation, GPS checks, and error resolution; in home- and community-based settings with older clients and variable environments, these steps regularly cut into direct care time.[1][3][4][8]
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Services for the Elderly and Disabled.
Affected Stakeholders
Personal care aides, Home health aides, Supervisors/schedulers who field EVV-related calls, Clients receiving services (indirectly through shorter visits)
Deep Analysis (Premium)
Financial Impact
$10,000 per month in lost care capacity at $25/hour fully loaded cost. β’ $10,000-$15,000/month in coordinator labor; delayed capacity insight prevents proactive provider recruitment, costing state $100,000+/month in unmet service demand β’ $10,000-$15,000/month in unbilled care hours due to EVV location friction; $5,000-$8,000/month in billing labor overhead
Current Workarounds
Billing specialists manually adjust claims downward to match EVV records OR escalate to compliance for investigation; creates billing delays and revenue loss β’ Billing specialists manually contact providers and aides to confirm EVV entries; use phone calls and emails to accelerate verification instead of relying on system β’ Billing specialists manually contact supervisors to obtain aide confirmation of services delivered (verbal verification), then manually enter into billing system as exception
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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
State and Federal EVV Non-Compliance Penalties and Funding Reductions
Fraudulent or Abusive Billing Uncovered Through EVV Audits and Investigations
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