Oncology practices have the most complex drug cost analytics in medicine. A single chemotherapy regimen — FOLFOX for colorectal cancer, R-CHOP for diffuse large B-cell lymphoma, pembrolizumab-based immunotherapy for lung cancer — can cost $8,000-$25,000 per cycle with infusion administration costs on top. Drug costs typically represent 50-70% of total practice revenue and total practice expense. A practice that doesn't track drug cost per episode by regimen and tumor type has no way to evaluate whether its treatment selection patterns are financially sustainable or whether biosimilar opportunities are being systematically missed.
The Oncology Care Model (OCM) — the primary CMS alternative payment model for oncology — evaluates practices on 6-month episode total cost of care for Medicare beneficiaries receiving chemotherapy. OCM performance hinges on understanding which diagnoses and which treatment regimens drive the highest episode costs, which patients are at risk of ED visits and hospitalizations during chemotherapy, and whether the practice's quality performance on IOM-recommended measures (patient experience, care coordination, clinical appropriateness) is adequate to achieve shared savings. Most OCM participants don't have analytics that can answer these questions within the episode window.
340B drug program savings are largest in oncology among all specialty types. A 340B-enrolled oncology practice can generate $100K-$2M+ annually in drug cost savings by purchasing chemotherapy at 340B acquisition cost and billing at standard reimbursement rates. But calculating 340B savings and tracking 340B compliance (patient eligibility, qualifying encounter documentation) requires analytics that most oncology practices don't have systematically configured.
OCM Episode Performance Monitoring
6-month episode total cost of care against OCM target price for Medicare beneficiaries receiving systemic chemotherapy. Risk-adjusted cost comparison identifying which diagnoses and regimens are driving costs above benchmark. Quality measure performance tracking across IOM-recommended categories.
Drug Cost Per Episode by Regimen
Average drug acquisition cost per chemotherapy cycle and per 6-month episode, by tumor type and specific regimen. Biosimilar substitution opportunity identification — which reference biologics used in your practice have FDA-approved biosimilars at 15-40% lower acquisition cost?
Clinical Trial Enrollment and Protocol Analytics
Trial eligibility screening rates vs. enrollment rates — the gap between eligible patients and enrolled patients is one of the largest quality improvement opportunities in oncology. Protocol deviation rates, adverse event rates by trial arm, and enrollment trend by trial sponsor.