MEAT Validation
Detects Monitor, Evaluate, Assessment, and Treatment criteria.
HCC and HHS risk adjustment with HEDIS/RADV automated through Neuro-Symbolic AI for greater accuracy, compliance, and speed.
Creative Us
QBotix Health AI is QBotix Health AI Neuro-Symbolic AI platform for real-time HCC coding and risk adjustment. It interprets clinical documentation, validates MEAT criteria, and assigns accurate HCC codes using a blend of Large Language Models (LLMs) and symbolic reasoning.
The result is faster chart reviews, fewer coding errors, and audit-ready outputs that improve RAF scoring and streamline compliance.
Features
Too much data, not enough insight
Missing MEAT criteria in documentation
RX mapping errors and drug confusion
Disconnected workflow slows coding progress
Small teams, rising chart volumes
RAF score obsession, disconnected from outcomes
Features & Benefit
Detects Monitor, Evaluate, Assessment, and Treatment criteria.
Dynamically calculates RAF scores to track financial impact and coding accuracy.
Generates transparent, traceable reports for compliance teams and external audits.
Resolves drug classification errors and links prescriptions to accurate HCC codes.
Extracts diagnoses, procedures, and care gaps using healthcare-tuned large language models.
Seamlessly integrates with major EHR systems for smoother workflows.
Handles high-volume chart reviews with AI-assisted prioritization.
Flags documentation gaps and unsupported diagnoses before submission.
Built for Coders. Trusted by Compliance Teams. Powered by Neuro-Symbolic Intelligence.
Combines LLMs with symbolic reasoning for smarter, explainable automation
Scales with growing chart volumes and coding demands
Embeds compliance into every workflow
Delivers audit-ready outcomes with transparent logic
Includes human-in-the-loop review by certified coders and clinical auditors