Neurology claim scrubber

AI claim scrubber for neurology billing

Syntra reviews EMG, NCS, and EEG documentation so add-on needle EMG and complete studies stay on the claim. Syntra is an AI claim and chart scrubber that reviews neurology documentation against the claim before submission, so billing teams prevent denials instead of working them.

Example capture

95886 · Needle EMG, each extremity

Study documents needle EMG of a complete extremity in addition to nerve conduction. Supports reporting 95886 as an add-on to NCS.

What causes neurology claim denials?

Most neurology 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 neurology encounter before submission:

  • Needle EMG add-ons dropped when nerve conduction studies were billed
  • Nerve conduction units that do not match the number of nerves studied
  • EEG duration codes that do not match the recorded time

Which neurology 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 neurology modifiers it validates:

  • -26 / -TC for interpretation splits
  • -59 for distinct studies
  • -25 on E/M with same-day testing

Medicare and commercial payers publish NCS-to-diagnosis tables that limit how many studies are supported per diagnosis.

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 neurology 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 neurology 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.

Neurology claim scrubber FAQs

What is the best claim scrubber for neurology practices?
The best neurology claim scrubber reads the chart, not only the claim. Syntra is an AI claim and chart scrubber that compares neurology 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 neurology claim denials?
Syntra checks every encounter for the denial drivers common in neurology, 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 neurology 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 neurology?
Syntra integrates with Epic, Cerner, NextGen, Nextech, SIS, iMedicWare, athenahealth, eClinicalWorks, Optivate, and ModMed. If your neurology practice uses another EHR, a dedicated engineer builds a custom integration.
How do neurology practices get started?
Every practice starts with a complimentary retroactive audit of recent neurology 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.

Audit your neurology charts.

Get a complimentary retroactive audit of your charts and claims. A measured, low-risk path from validation to autonomous pre-bill review.

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