Rebilling Workflow

Track claim corrections and resubmissions with success rate analytics.

Overview

Rebilling involves correcting and resubmitting claims that were denied due to fixable errors like coding mistakes, missing information, or incorrect modifiers.

Tools Used

Tool	Purpose
create_rebill	Create rebill after correcting denied claim
update_rebill	Update rebill status and resolution
list_rebills	Query rebills with filters
get_rebill_analytics	Success rates by correction type

Example: Seeded Rebill

The database contains 1 seeded rebill for the CO-4 modifier error:

Rebill	Original Claim	New Claim	Amount	Status	Recovered
a50e8400...001	CLM-2024-001237	CLM-2024-001567	$250	paid	$200

Check Rebill Status

User prompt:

What's the status of our rebills?

What happens:

The list_rebills tool retrieves rebills:

{
  "rebills": [
    {
      "id": "a50e8400-e29b-41d4-a716-446655440001",
      "original_claim_id": "650e8400-e29b-41d4-a716-446655440004",
      "new_claim_id": "650e8400-e29b-41d4-a716-446655440005",
      "denial_id": "750e8400-e29b-41d4-a716-446655440003",
      "rebill_reason": "added_modifier",
      "changes_made": {
        "original_codes": ["99213", "11102"],
        "corrected_codes": ["99213-25", "11102"],
        "change_description": "Added modifier 25 to E/M code 99213"
      },
      "reason_notes": "Modifier 25 required when billing E/M service on same day as procedure per payer guidelines",
      "rebill_amount": 250.0,
      "status": "paid",
      "submitted_date": "2024-02-10",
      "resolution_date": "2024-02-20",
      "recovered_amount": 200.0,
      "created_by": "Coding Specialist"
    }
  ],
  "total": 1
}

Expected Response:

You have 1 rebill:

• CLM-2024-001237 → CLM-2024-001567
  • Correction: Added modifier 25 to 99213 (E/M with same-day procedure)
  • Status: Paid
  • Submitted: 2/10/2024, Resolved: 2/20/2024
  • Recovered: $200 of $250 (80%)

This CO-4 denial was successfully corrected. Pre-submission validation would have prevented it.

Rebill Analytics

User prompt:

Show me our rebill success rate.

The get_rebill_analytics tool returns:

{
  "total_rebills": 1,
  "total_amount": 250.0,
  "total_recovered": 200.0,
  "success_rate": 100,
  "recovery_rate": 80,
  "by_reason": {
    "added_modifier": {
      "count": 1,
      "amount": 250.0,
      "recovered": 200.0,
      "success_rate": 100
    }
  },
  "by_status": {
    "paid": 1
  },
  "insights": [
    "100% rebill success rate (1 of 1)",
    "80% recovery rate ($200 of $250)",
    "Top correction type: added_modifier (100% success)"
  ]
}

Rebill Lifecycle

Rebill Reasons

Reason	Description	Typical Success Rate
corrected_coding	Fixed CPT/diagnosis codes	85%
added_modifier	Added required modifier	90%
updated_diagnosis	Changed/added diagnosis codes	80%
corrected_info	Fixed patient/provider info	75%
resubmit_timely	Resubmitting within timely filing	70%
provider_change	Changed rendering/billing provider	65%

Correction Tracking

The changes_made field tracks exactly what was corrected:

{
  "original_codes": ["99213", "11102"],
  "corrected_codes": ["99213-25", "11102"],
  "change_description": "Added modifier 25 to E/M code 99213"
}

This enables:

• Root cause analysis
• Training identification
• Prevention rule creation

Next Steps

• Coding Validation - Prevent rebills with pre-submission checks
• Denial Triage - Identify rebill opportunities
• Cash Leakage - Analyze rebill patterns