AI claim scrubber for oncology billing
Syntra reviews infusion records and visit notes so initial-hour chemo administration and hydration stay on the claim with the E/M. Syntra is an AI claim and chart scrubber that reviews oncology documentation against the claim before submission, so billing teams prevent denials instead of working them.
Example capture
96413 · Chemotherapy administration, IV infusion, initial hour
Infusion record documents the initial hour of IV chemotherapy in addition to the office visit. Supports 96413 separately from E/M when documentation supports a significant, separately identifiable service.
What causes oncology claim denials?
Most oncology denials trace back to the chart: a service documented but not coded, a code the note does not support, or a modifier that is missing. These are the patterns Syntra checks on every oncology encounter before submission:
- Infusion hierarchy coded incorrectly, so initial and sequential services are misreported
- Drug units and NDCs that do not match the administration record
- E/M with same-day infusion billed without a separately identifiable service
Which oncology modifiers and edits does Syntra check?
Syntra applies NCCI (CCI) edits, MUEs, and payer rules, then confirms each modifier is supported by the documentation rather than added to get past an edit. Common oncology modifiers it validates:
- -25 on E/M with same-day infusion
- -JW / -JZ for drug wastage
- -59 for distinct administrations
Biologic and chemotherapy drugs often require prior authorization, NDC reporting, and wastage documentation.
Those checks follow public payer rules, including CMS National Correct Coding Initiative (NCCI) edits and Medicare Coverage Database (LCDs and articles). Syntra applies the rule to the note, which a claim-only edit cannot see.
How is this different from oncology billing software or a clearinghouse scrubber?
Billing software, practice-management systems, and clearinghouses scrub the claim after it is built: required fields, code pairs, and payer edits. They usually cannot see the clinical note. Syntra reasons on the note and the claim together, the way an experienced oncology coder would, which is how it finds undercoding and compliance risk that claim-level rules pass through. It sits on top of your existing revenue cycle management (RCM) stack rather than replacing it.
Read more on how Syntra differs from EHR scrub rules and clearinghouse claim scrubbers.
Oncology claim scrubbing by EHR
Oncology claim scrubber FAQs
- What is the best claim scrubber for oncology practices?
- The best oncology claim scrubber reads the chart, not only the claim. Syntra is an AI claim and chart scrubber that compares oncology documentation to the codes, modifiers, and payer rules before submission, so missed revenue and denial risk are caught while the encounter can still be corrected.
- How does Syntra reduce oncology claim denials?
- Syntra checks every encounter for the denial drivers common in oncology, including NCCI bundling, missing or incorrect modifiers, medical necessity, and global-period conflicts. It flags issues before the claim leaves the practice, which raises the clean claim rate instead of working denials after the fact.
- Does Syntra replace my oncology billing software or EHR?
- No. Syntra sits on top of your existing EHR, practice-management system, and clearinghouse. It adds chart-level pre-bill review to the revenue cycle (RCM) stack you already run.
- Which EHRs does Syntra support for oncology?
- Syntra integrates with Epic, Cerner, NextGen, Nextech, SIS, iMedicWare, athenahealth, eClinicalWorks, Optivate, and ModMed. If your oncology practice uses another EHR, a dedicated engineer builds a custom integration.
- How do oncology practices get started?
- Every practice starts with a complimentary retroactive audit of recent oncology charts and claims. Syntra then moves to controlled pre-bill review and, over about 90 days, autonomous submission on eligible encounters with humans in the loop.
See other specialties, EHR integrations, or how pre-bill review works.
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