AI claim scrubber for cardiology billing
Syntra reviews echo, stress, and device documentation so complete studies are billed at the documented level before claims go out. Syntra is an AI claim and chart scrubber that reviews cardiology documentation against the claim before submission, so billing teams prevent denials instead of working them.
Example capture
93306 · Complete echocardiography with Doppler and color flow
Report documents 2D imaging plus spectral Doppler and color flow of chambers and valves. Supports reporting complete echo 93306.
What causes cardiology claim denials?
Most cardiology 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 cardiology encounter before submission:
- Limited echo billed when the report documents a complete study, or the reverse
- Stress testing components (supervision, interpretation, tracing) billed inconsistently
- Device checks billed without the interrogation documentation payers expect
Which cardiology 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 cardiology modifiers it validates:
- -26 / -TC for professional and technical splits
- -25 on E/M with same-day testing
- -59 for distinct studies
Imaging appropriate-use criteria and frequency limits apply to echo and nuclear studies across most commercial payers.
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 cardiology 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 cardiology 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.
Cardiology claim scrubbing by EHR
Cardiology claim scrubber FAQs
- What is the best claim scrubber for cardiology practices?
- The best cardiology claim scrubber reads the chart, not only the claim. Syntra is an AI claim and chart scrubber that compares cardiology 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 cardiology claim denials?
- Syntra checks every encounter for the denial drivers common in cardiology, 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 cardiology 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 cardiology?
- Syntra integrates with Epic, Cerner, NextGen, Nextech, SIS, iMedicWare, athenahealth, eClinicalWorks, Optivate, and ModMed. If your cardiology practice uses another EHR, a dedicated engineer builds a custom integration.
- How do cardiology practices get started?
- Every practice starts with a complimentary retroactive audit of recent cardiology 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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