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Quorix

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

Repository

TypeScript83.2%Python11.5%CSS3.8%JavaScript1%HTML0.5%
Last commit 1 year ago