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A Medicare Claim Denial often stems from administrative rules unique to Medicare. Commercial payers do not enforce these same requirements consistently. ABN rules, PECOS enrollment, and MSP questionnaires all apply differently. LCD specificity also demands a level of detail commercial payers rarely require. These differences catch even experienced billing teams off guard regularly. Any one of these gaps can trigger a costly Medicare Claim Denial.

At Infusion Billing Services, we recently completed a full audit for a client. Their practice had never separated Medicare Claim Denial patterns from general tracking. This case study explains the five issues behind $180,000 in losses. It also shows exactly how we fixed each Medicare Claim Denial pattern.

 

Client Snapshot

Our client was a mid sized infusion practice with two locations. Medicare and Medicare Advantage made up close to 52% of volume. They submitted roughly 850 Medicare related claims each month. The remaining payer mix included commercial insurance and Medicaid coverage. We conducted a full twelve month audit specific to Medicare requirements. This went beyond the practice’s standard denial tracking process entirely. Standard reports had shown a Medicare Claim Denial rate of 24%. The full audit revealed $180,000 in losses tied directly to these gaps.

 

Denial Reason 1: Missing Advance Beneficiary Notice for Non-Covered Services

Medicare sometimes denies services as not medically necessary under coverage rules. Without a signed Advance Beneficiary Notice, the patient cannot be billed either. This combination turned several claims into a full Medicare Claim Denial with no path to payment. No ABN meant no path to collect payment from anyone.

Problem:

  • Services with borderline necessity were provided without an ABN
  • No signed notice existed when the claim was later denied
  • Patient could not be billed once the ABN was missing

Fix:

  • Built an ABN screening step for borderline necessity cases
  • Flagged services requiring a notice before treatment occurred
  • Confirmed a signed ABN was on file before service began

Screening for this in advance prevented full write-offs going forward.

 

Denial Reason 2: Medicare Secondary Payer Questionnaire Not Completed or Inaccurate

Medicare must sometimes be billed as secondary to another payer. Group health plans and liability coverage can affect this order. Several claims resulted in a Medicare Claim Denial because the MSP questionnaire was missing. In other cases, the questionnaire on file was outdated or inaccurate.

Problem:

  • MSP questionnaire was missing from the patient’s file
  • Existing questionnaire data was outdated or no longer accurate
  • Claims were billed to Medicare as primary in error

Fix:

  • Required a current MSP questionnaire before every claim
  • Updated questionnaire data at each new patient encounter
  • Verified payer order before submitting claims to Medicare

This fix corrected a frequent and costly Medicare Claim Denial pattern.

 

Denial Reason 3: Ordering or Referring Provider Not Matched in PECOS

Medicare requires ordering and referring providers to be properly enrolled. This enrollment must match exactly within Medicare’s PECOS system. Several claims triggered a Medicare Claim Denial because the listed provider was not matched. Even small formatting differences caused this matching process to fail.

Problem:

  • Referring provider was not properly enrolled in PECOS
  • Provider information did not match PECOS records exactly
  • Claims were submitted without confirming enrollment status first

Fix:

  • Verified PECOS enrollment before every claim submission
  • Confirmed exact name and NPI matching against PECOS records
  • Flagged unmatched providers before claims were finalized

This fix closed a gap that had been quietly causing repeat denials.

 

Denial Reason 4: Diagnosis Not Meeting LCD Specificity Requirements

Medicare Administrative Contractors publish detailed Local Coverage Determinations. These policies require diagnosis codes to meet a specific level of detail. Several claims resulted in a Medicare Claim Denial because the codes used were too general. This mismatch caused denial under the applicable coverage policy.

Problem:

  • Diagnosis code did not meet the LCD’s required specificity
  • General diagnosis codes were used instead of specific ones
  • Coverage policy requirements were not checked before billing

Fix:

  • Built an LCD reference check tied to each drug and diagnosis
  • Matched diagnosis coding to the specific policy requirements
  • Reviewed LCD compliance before every claim submission

This fix aligned diagnosis coding precisely with Medicare’s published policy.

 

Denial Reason 5: Missing Face-to-Face Encounter Documentation

Certain durable medical equipment orders require face-to-face documentation. This documentation must show direct contact between provider and patient. Several claims faced a Medicare Claim Denial because this record was missing or incomplete. Without it, Medicare could not confirm the order was medically supported.

Problem:

  • Face-to-face encounter documentation was missing entirely
  • Existing documentation was incomplete for the requirement
  • Related claims were submitted without confirming this record

Fix:

  • Required face-to-face documentation before related claims
  • Confirmed documentation completeness at the time of order
  • Filed supporting records alongside the associated claim

This fix closed the final gap contributing to the $180,000 total.

 

How the $180,000 Medicare Claim Denial Loss Was Identified

Standard denial tracking treated all payers the same way in reporting. This audit separated each Medicare Claim Denial category from general denial tracking. Each of the five issues above was quantified individually across claims. ABN related write-offs were tracked separately from MSP related denials. PECOS mismatches and LCD specificity issues were reviewed as their own categories. Face-to-face documentation gaps were checked against DME related claims specifically. This process took eight weeks to complete across the full year. Together, these five categories added up to the full $180,000 total.

 

Financial Recovery Results

The table below shows the loss breakdown and the improvement achieved. These results reflect what a dedicated Medicare Claim Denial audit uncovered.

Denial Category Annual Loss Identified Prevention Rate After Fix
Missing ABN write-offs 52000 dollars 95%
MSP questionnaire errors 44000 dollars 93%
PECOS enrollment mismatches 38000 dollars 91%
LCD specificity denials 31000 dollars 90%
Face-to-face documentation gaps 15000 dollars 88%
Total Medicare Claim Denial losses 180000 dollars 92% average

Each of these losses fell outside the practice’s normal denial reports. Only a dedicated Medicare Claim Denial review surfaced the complete financial picture. This confirms why Medicare rules require their own dedicated compliance process.

 

Key Takeaways

These lessons help any infusion practice avoid a costly Medicare Claim Denial.

  • Screen for ABN needs before providing borderline necessity services
  • Keep MSP questionnaires current at every new patient encounter
  • Verify PECOS enrollment for every ordering and referring provider
  • Match diagnosis coding to the exact LCD specificity required
  • Confirm face-to-face documentation before related DME claims

 

Conclusion

A Medicare Claim Denial often traces back to administrative rules alone. ABN, MSP, PECOS, LCD, and documentation gaps all carry real risk. As this case shows, a dedicated Medicare Claim Denial audit uncovered $180,000 in prior losses. Preventing these issues going forward protects revenue the practice already earns. If your practice has never audited Medicare rules separately, we can help. Infusion Billing Services conducts dedicated Medicare Claim Denial audits beyond standard tracking. Medicare specific losses often exceed what general reporting ever reveals.

Contact Infusion Billing Services today for a complete Medicare compliance audit. Start uncovering revenue lost to Medicare Claim Denial patterns.