3-Pillar Value Proposition
Powered by Agentic AI & Fine-Tuned LLMs
Every Health Data Max solution leverage Agentic AI—a multi-agent intelligence architecture designed to continuously review CMS files, member charts, and claims data. Each product, from chart review to RADV defense, benefits from these agents’ ability to reason, validate, and adapt to changing CMS models.
This ensures unmatched accuracy, auditability, and compliance across your risk adjustment lifecycle.
Chart AI Copilot
Delivering real-time clinical intelligence at the chart level
Leverages proprietary NLP and LLMs to scan structured & unstructured data for HCCs and missed coding opportunities.
Assists coders and QA teams with compliant code suggestions, source-linked references, and confidence scoring.
Supports prospective, retrospective, and concurrent chart reviews.
Tracks every action for audit-readiness and traceability (full audit trail).
Seamlessly integrates with your existing EHR or coding platform.
Smarter Chart Reviews, Faster Decisions
- Scans structured and unstructured clinical data using NLP and fine-tuned LLMs
- Identifies HCCs and missed coding opportunities
- Provides compliant code suggestions with source-linked evidence
- Supports prospective, concurrent, and retrospective reviews
- Maintains a full audit trail
- Integrates seamlessly with EHRs and coding platforms
CMS Submission Compliance
Automated validation and reconciliation across your entire submission pipeline
Ingests and analyses X12 837 I/P/D encounter files.
Monitors TA1, 999, 277CA, MAO-002, MAO-004, MMR, and MOR files for errors and rejection trends.
Real-time dashboards flag rejected or dropped encounters.
Built-in reconciliation tools link rejected claims to charts, ensuring no revenue is lost.
Keeps your plan audit-ready and aligned with CMS requirements.
CMS Submission Compliance
Automated validation and reconciliation across your entire submission pipeline
- Ingests and analyses X12 837 I/P/D encounter files
- Monitors TA1, 999, 277CA, MAO-002, MAO-004, MMR, and MOR files for errors and rejection trends
- Real-time dashboards flag rejected or dropped encounters
- Built-in reconciliation tools link rejected claims to charts
- Keeps your plan audit-ready and aligned with CMS requirements
RAF Optimization
Drive more accurate risk scoring and maximize revenue without over-coding
Identifies undocumented HCCs across clinical records using AI.
Prioritizes high-impact, high-chronic patients to close the right gaps first.
Supports prospective programs that improve performance before the look-back ends.
Reduces risk of over- or under-coding by flagging anomalies with contextual evidence.
Generates predictive RAF impact and submission completeness metrics.
RAF Optimization
Drive more accurate risk scoring and maximize revenue without over-coding
- Identifies undocumented HCCs across clinical records using AI
- Prioritizes high-impact, high-chronic patients to close the right gaps first
- Supports prospective programs before the look-back period ends
- Flags over- and under-coding risks with contextual evidence
- Generates predictive RAF impact and submission completeness metrics