🇺🇸United States

Patient Dissatisfaction and Lost Referrals from Slow Intake

2 verified sources

Definition

Lengthy manual intake and insurance authorization processes leave patients waiting, reducing satisfaction and harming agency reputation. This leads to fewer future referrals and challenges in long-term viability as dissatisfied patients and referrers choose faster competitors. Automation case studies show prior losses from these delays.[4][5]

Key Findings

  • Financial Impact: $80% increase in admissions post-fix implies prior high leakage[5]
  • Frequency: With every delayed referral
  • Root Cause: Manual eligibility checks, paperwork chasing, and slow approvals

Why This Matters

This pain point represents a significant opportunity for B2B solutions targeting Home Health Care Services.

Affected Stakeholders

Intake staff, Patients, Referral sources

Deep Analysis (Premium)

Financial Impact

$100,000-$180,000 annually from reduced commercial referral volume; 20% lower commercial admission rate vs. industry benchmark • $100,000-$200,000 annually from lost commercial referral volume due to poor negotiating data and slow intake • $120,000-$200,000 annually from claim denials and revenue delays caused by poor intake/authorization data quality

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Current Workarounds

Billing specialist manually matches referral intake data with insurance authorization emails, reconciles discrepancies via phone calls with insurance companies, manually corrects patient records in EMR • Coordinator calls insurance company directly, navigates IVR, holds for 10-15 minutes, manually documents coverage details in notebook, updates Excel with authorization status, emails patient confirmation • Coordinator manually documents patient preferences and family communication notes, sends intake form via email, follows up via phone/text, manually tracks payment arrangement in spreadsheet

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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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