Automated Clinical Coding
Read pathology and lab reports, identify procedures and diagnoses, and assign CPT and ICD-10 codes with evidence-based confidence.
AI-Powered Medical Billing
Intelligent medical billing that learns and improves.
MIXI AI turns clinical reports into clean, compliant claims in seconds. Read reports, assign CPT and ICD-10 codes, validate payer rules, and learn from real denial outcomes to maximize reimbursement.
<30sAverage coding time
13+Compliance checks per claim
50+Supported report types
24/7Continuous learning loop
Built for labs and pathology groupsComplex report formats and high-volume billing workflows
Revenue cycle intelligenceFrom report ingestion to denial analysis and optimization
Compliance-first architectureNCCI, LCD, MUE, payer policies, and auditability
Enterprise-ready SaaSRBAC, PHI protection, multi-tenant isolation, and secure APIs
What MIXI AI Does
End-to-end revenue cycle automation.
From the moment a clinical report is finalized to the moment payment posts, MIXI AI handles coding, claim generation, denial prevention, payer learning, and reimbursement optimization.
Claim Generation
Transform coded reports into submission-ready claims with modifiers, units, diagnosis pointers, and payer-specific formatting already in place.
Denial Prevention
Cross-check every claim against compliance rules, historical denial patterns, and payer requirements before submission.
ARA / 835 Response Analysis
Ingest payment and denial responses automatically to understand what pays faster, what gets rejected, and why.
Self-Learning Memory
Build an organization-specific knowledge base from real claims, real payers, and real reimbursement outcomes.
Revenue Optimization
Catch under-coding, missed add-on codes, and documentation gaps using historical payer acceptance profiles and billing intelligence.
How It Works
From report to revenue in minutes.
Each step is validated, auditable, and continuously improved by learning from your historical outcomes.
1
Report Ingestion
Receive clinical reports through PDF, text, HL7, or integration. MIXI AI extracts structured data from varied lab formats without templates.
2
AI-Powered Coding
The model reads the clinical narrative, identifies specimens and procedures, and assigns CPT and ICD-10 codes with evidence scoring.
3
Compliance Validation
Validate against NCCI edits, LCD policies, MUE limits, medical necessity links, modifier rules, and payer-specific logic.
4
Claim Generation & Submission
Assemble clean claims with correct units, modifiers, diagnosis pointers, and submission formatting for clearinghouse routing.
5
Payment Tracking & Learning
Analyze 835 and ARA responses, map denial codes, and feed outcomes back into MIXI AI to improve future claims automatically.
AI Pipeline Visualization
Clinical Reports
PDF · Text · HL7
835 / ARA Responses
Payer Learning
Compliance Rules
NCCI · LCD · MUE
MIXI AI Coding & Revenue Engine
AI coding, claim generation, denial prevention, payer learning, and revenue optimization.
Clean Claims
837P Output
Denial Insights
Risk & Recommendations
Revenue Intelligence
Continuous Optimization
Core Inputs
Clinical reports, historical claims, remittance data, and payer rule libraries feed the engine.
Engine Actions
Reads reports, assigns CPT / ICD-10, validates compliance, predicts denials, and assembles claims.
Business Outcomes
Cleaner submissions, faster reimbursement, fewer denials, and smarter revenue cycle decisions.
Knowledge Base
An AI that gets smarter with every claim.
Unlike static rule engines, MIXI AI builds a living knowledge base from real billing outcomes and adapts to the way your organization gets reimbursed.
Historical Claims Intelligence
Build payer-specific acceptance profiles showing exactly which code combinations get paid and which get denied.
Payer Policy Engine
Interpret coverage policies, frequency limits, prior authorization requirements, and organization-specific payer behavior.
Continuous Learning Loop
Every payment, denial, and adjustment trains the platform further, steadily improving coding accuracy and reimbursement outcomes.
Organization-Specific Memory
Learn from your specialty, payer mix, and coding history to deliver recommendations tailored to your practice.
Compliance & Validation
Automated checks on every claim.
Catch the issues that cause denials, audits, and revenue leakage before claims ever reach a human reviewer or payer.
NCCI Bundling Edits
Detect code pairs that should not be billed together under National Correct Coding Initiative rules.
LCD Coverage
Validate CPT and diagnosis combinations against local coverage determinations and MAC guidance.
MUE Limits
Ensure units per CPT code do not exceed medically unlikely edit thresholds.
Medical Necessity
Verify that CPT-to-ICD linkages are supported by established clinical and reimbursement rationale.
Modifier Analysis
Recommend appropriate modifiers such as TC, 26, and 59 based on service context and payer requirements.
Denial Risk Prediction
Use historical payer outcomes to flag combinations with elevated denial probability before submission.
Enterprise Ready
Built for scale, security, and speed.
MIXI AI is designed for healthcare organizations of all sizes, from single-lab practices to multi-site enterprise operations.
Role-Based Access
Support for super admin, org admin, billing specialist, coder, and reviewer workflows with least-privilege access.
Organization Isolation
Keep each organization’s data, claim history, and learned intelligence logically separated and secure.
PHI Protection
Automatically detect and redact sensitive data before it reaches the AI engine where required by policy.
Full Audit Trail
Track coding decisions, reviewer actions, edits, and approvals with timestamps and user attribution.
Request a Demo
Turn clinical reports into revenue intelligence.
See how MIXI AI can accelerate coding, reduce denials, and continuously improve reimbursement performance across your organization.