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Quorix
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Quorix

Demo Video

About This Project

Checkout the ReadMe for technical details

Problem:

Leaders report >10% denial rates are common; missing/inaccurate data and prior auth drive preventable denials. Claim denial rates vary 1%–54% by insurer. Doctors DON’T like spending their time optimizing claims for payouts.

Existing Solutions:

Scribes document appointments, can’t create codes and claims. EHR auto-coding is generic and not specific enough for many insurance providers RCM platforms catch basics, yet initial denials still hover ~11–12% — payer-specific nuances slip through.

Quorix An application that extracts ICD‑10 from notes, asks targeted clarifiers (laterality, specificity, sequencing), and validates against payer‑specific rules (Anthem, UnitedHealthcare, etc.) before submission — turning ambiguous documentation into payer‑aligned, first‑pass clean claims.

Market Potential:

RCM market hundreds of billions and growing at double‑digit CAGR — budget exists for denial prevention. Medical coding market >$14B with ~10% CAGR — sustained demand for accurate ICD capture. AI in RCM projected multi‑x growth (20B→180B decade) — strong tailwinds for real‑time coding intelligence.

Future Vision

Scale payer logic nationwide; close the 11–19% denial gap with real‑time, payer‑specific clarification. Reduce preventable denials, slash appeals, return time to patients. Migrate to Chrome Extension for EHR compatibility

Built With

CSS
HTML
JavaScript
Python
TypeScript
cursor
openaiapi
phenoml
python
react
vite
windsurf

Repository

TypeScript83.2%Python11.5%CSS3.8%JavaScript1%HTML0.5%
Last commit 11 months ago

Submitted December 26, 2025 at 1:02 AM