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Denial Management - Medical Billing

Preventing Oncology Denials with Smarter Coding Practices

Case Study

Customer Situation

A multi-specialty regional cancer center with a high chemotherapy infusion volume faced a major financial challenge. Despite having an in-house billing team, the center was experiencing a denial rate exceeding 20% for infusion-related claims, straining cash flow and increasing appeal backlogs.

<5%Denial Rate (from 20%+)
75%+Reduction in Denials
1st PassMost Claims Paid on Submission

Challenges

Our audit identified multiple root causes for the denials:

  • Medical Necessity Denials: Errors in linking CPT infusion codes (e.g., 96413, 96415) with the correct J-codes (e.g., J9045 for Carboplatin, J9201 for Gemcitabine) and supporting ICD-10-CM diagnosis codes.

  • Documentation Gaps: Missing infusion start and end times prevented justification of prolonged infusion billing.

  • Incorrect Modifier Use: Denials occurred when services like hydration infusion (CPT 96360) and chemotherapy infusion (CPT 96413) were billed on the same day without modifier -59, which clarifies distinct services.

  • Reactive Workflow: The in-house team focused on appeals after denials rather than proactive prevention. No claim scrubbing system was in place to catch issues before submission.

Solution

The cancer center partnered with a specialized oncology billing company to redesign its revenue cycle management. The solution was built on accuracy, prevention, and training:

Expert Code Review & Training

  • Conducted a detailed audit of top-denied claims.

  • Delivered targeted training for clinical and billing staff on coding accuracy, modifier use, and documentation essentials.

Systematic Modifier Application

  • Introduced consistent, rule-based application of modifiers (e.g., -59 for distinct services, JW for discarded drug amounts).

  • Significantly reduced denials caused by bundled services.

Pre-Bill Audits (“Claim Scrubbing”)

  • Implemented automated pre-bill audits using proprietary software to flag errors before claim submission.

  • Common triggers: missing modifiers, incomplete documentation, unlinked diagnoses.

  • Prevented recurring errors and reduced reliance on appeals.

Results

  • Denial rate reduced by 75%+ (from over 20% to under 5%)

  • Improved cash flow, with most claims paid on first submission

  • Recovered significant denied revenue through proactive appeals

Download the Full Case Study & Schedule a Free Consultation

Facing similar oncology billing challenges? Fill out the form below to download the case study PDF and see how smarter coding practices helped reduce oncology denials and accelerate reimbursements.

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