Quorix

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  Title Page

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  homepage

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  Sending to Insurance

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  Claim Analysis

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  Summary

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

• cursor
• openaiapi
• phenoml
• python
• react
• vite
• windsurf