Medical Coding — Coding & Revenue Cycle Hub
We are not selling automated medical coding.
We are selling instant liquidity and margin recovery.
Human-in-the-Loop by Design
NeuroFlo is built as a companion to existing medical coders, not a replacement for them. Every suggested code carries sentence-level evidence back to the note it came from, so coders confirm instead of guess — and every edit a coder makes trains the system toward that facility's specific accuracy.
<24 hrs
Target DNFB, down from a multi-day industry median
Modeled
~$286K
Modeled savings from 5,000 avoided claim reworks at $57.23/claim
Source: Premier, 2023
95%+
First-pass coding accuracy, modeled
Modeled
The Medical Coding Lifecycle
From a signed note to a submission-ready charge, with evidence attached at every step.
Prepare. Review. Validate. Trace Evidence. Enhance. Confirm. Charge.
Prepare
The signed operative note arrives, ready for coding.
Review
Trains from coder editsCoder workspace surfaces the note alongside suggested codes.
Validate
Checked against the hospital rules engine and current code references.
Evidence
Every suggested code traces to the exact sentence that supports it.
Enhance
Modifiers, bundling, and groupings applied per payer and facility rules.
Confirm
AI review plus human confirmation before anything is finalized.
Charge
Submission-ready charge items move straight to billing.
Value Proposition
- Reduced Charge Lag: Moves completed operative notes through coding to submission-ready charges in under a day instead of a multi-day backlog. For a hospital processing $5M/day, that's modeled at $30M in working capital plus $1.5M in interest and capital savings.
- Reduced Claim Denials and Administrative Rework: Better documentation, coding verification, modifiers, and hospital-specific rules improve first-pass claim quality. Modeled at a 5% reduction in denials across 100,000 claims — about 5,000 avoided reworks, roughly $286K in administrative savings at $57.23 per reworked claim (Premier, 2023).
- Reduced Outsourced Coding Costs: Internal coding teams process more cases with AI-assisted review, reducing reliance on third-party coding agencies — modeled at 10 external coders, about $800,000 in annual direct labor savings.
- Coding Time Cut from Days to Minutes: The finalized operative note is translated into CPT, ICD-10, and HCPCS codes, passed through the hospital's custom rules engine, and presented to coders for verification in one workflow.
- Improved First-Pass Claim Accuracy: The platform is modeled around 95%+ first-pass accuracy, reducing correction, resubmission, and downstream billing friction.
- Increased Value of the Existing Coding Team: Built as a human-in-the-loop companion — coders verify and process clean claims faster rather than being replaced, reducing dependence on outsourced labor.
Problems We Solve
- Complete Documentation-to-Coding Workflow: NeuroFlo bridges the gap between the operative note and the billing department, carrying the intelligence established during documentation directly into coding instead of forcing coders to start from a disconnected, incomplete source document.
- Hospital-Specific Coding Intelligence: Applies the hospital's own grouping preferences, CPT modifiers, payer-specific policies, administrative requirements, and coding logic across CPT, ICD-10, and HCPCS code sets.
- Source-Linked Human Verification: Coders review AI-suggested codes directly against the highlighted source text in the operative note, giving them the clinical evidence needed to verify each recommendation before approval.
- Human-in-the-Loop by Design: Built as a companion to existing medical coders, not a replacement — the system performs analysis and preparation while qualified coders retain final review and compliance justification.