πŸ‡ΊπŸ‡ΈUnited States

Administrative Staff Overtime and Resource Waste in PA Processing

2 verified sources

Definition

Hospitals incur excessive labor costs from staff dedicating excessive time to manual prior authorization tasks like faxing forms, follow-ups, and appeals. This leads to overtime and inefficient resource allocation without patient care value. Recurring across all providers due to non-standardized workflows.

Key Findings

  • Financial Impact: 13 hours per physician weekly; 39 requests/physician/week
  • Frequency: Daily
  • Root Cause: Lack of automation and interoperability between EHRs and payer systems forcing repeated manual work

Why This Matters

This pain point represents a significant opportunity for B2B solutions targeting Hospitals.

Affected Stakeholders

administrative staff, physicians, prior auth coordinators

Deep Analysis (Premium)

Financial Impact

$1,000-1,400/week (CDI labor Γ— incomplete query cycles; 7% submission failure rate = $156K/year revenue loss from delayed/denied PAs on 4,000 annual cases) β€’ $1,000–$1,800 per physician per month in avoidable labor and overtime for prior auth handling, based on ~13 hours/week of low-value admin time and 39 PA requests/week being worked largely by staff instead of being automated. β€’ $1,000–$1,800 per physician per month in excess labor tied to government-plan PA volume, with additional soft losses from delayed care slots and staff turnover risk due to burnout.

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Current Workarounds

AR Manager calls ED physicians after-hours to document medical justification; escalates via phone to payer medical directors; manually reformats clinical notes into appeal language β€’ AR Manager maintains relationship-based email/phone contact with payer appeal specialists; tracks conversation notes in Outlook Tasks; escalates to network contracts if denial recurs β€’ AR Manager manually schedules P2P calls; compiles clinical summary via Word doc cut-paste from EHR; tracks P2P outcome in Excel; re-files appeal if P2P unsuccessful

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Methodology & Sources

Data collected via OSINT from regulatory filings, industry audits, and verified case studies.

Evidence Sources:

Related Business Risks

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