ChartCopilot™ Retro

AI-Powered Retrospective Chart Coding for Risk Adjustment and RADV Compliance

“Transform Your Retrospective Chart Coding with AI Copilots”

Why ChartCopilot™ Retro?

Retrospective chart review is complex and time sensitive. HDM ChartCopilot™ Retro leverages fine-tuned large language models (LLMs) to accelerate chart abstraction, improve coding accuracy, and provide audit-ready documentation. Our solution combines human expertise with AI guidance to ensure:

  • Accurate HCC and risk score validation

  • Faster chart review cycles and reduced administrative burden

  • Ready-to-submit RADV packets with confidence

  • Integrated audit trails for CMS and internal compliance

Key Differentiators:

  • AI Coder Copilot: Guides your coders with real-time suggestions, flagging potential HCCs, documentation gaps, and MEAT compliance.

  • Smart Chart Navigation: Jump to relevant labs, progress notes, or visit summaries instantly with AI-assisted search.

  • Audit-Ready Workflows: Build RADV packets, track IRR and QA, and generate reports for internal or CMS audits.

  • Actionable Analytics: Visualize coding patterns, chart quality, and risk score trends to drive targeted improvements.

  • Compliance & Security: HIPAA-compliant, secure environment with granular access control and audit logs.

Who Should Use This?

HDM ChartCopilot™ Retro is ideal for:

  • Medicare Advantage Plans & Risk Adjustment Teams: Accelerate retrospective coding and ensure compliance.

  • Coding & QA Specialists: Reduce manual effort while improving accuracy.

  • Consultants & Audit Teams: Generate RADV-ready packets efficiently.

  • Executives & Managers: Gain visibility into risk adjustment performance and team productivity.

How It Works

Step 1: Upload & Integrate
Seamlessly import charts from EMRs, claim systems, or structured data sources. Our secure platform ensures data integrity at every step.

Step 2: AI-Assisted Coding
LLM-powered copilots provide:

  • Suggested HCC codes based on chart content

  • Real-time MEAT/TAMPER compliance checks

  • Highlights of missing or inconsistent documentation

Step 3: Evidence Linking
Automatically link charts, notes, and labs to each suggested HCC. The AI identifies supporting evidence and flags discrepancies.

Step 4: QA & IRR Checks
Track inter-rater reliability, coder performance, and quality assurance metrics with an intuitive dashboard.

Step 5: RADV Packet Builder
Generate fully compliant retrospective chart packets with all supporting documentation ready for submission to CMS or internal audit.

Step 6: Analytics & Insights
Measure coding efficiency, identify high-risk gaps, track coder trends, and evaluate population-level risk scoring accuracy.

Features at a Glance

  • LLM Coder Copilot - Suggests HCCs, highlights documentation gaps, and accelerates coder decision-making.

  • Smart Navigation - Jump between charts, labs, and visit notes instantly.

  • Evidence Linking - Automatically link supporting documents to HCCs.

  • IRR / QA Dashboard - Track coding accuracy, inter-rater reliability, and QA metrics.

  • RADV Packet Builder - Export CMS-ready retrospective packets with full audit trails.

  • Analytics & Insights - Monitor coding patterns, risk score trends, and chart quality.

  • Customizable Workflows - Configure tasks, review sequences, and alerts to match your processes.

  • Secure & HIPAA-Compliant - End-to-end encryption and role-based access control.

  • Integration-Ready - Works with EMRs, EHRs, and existing risk adjustment systems.

Expanded Benefits & Outcomes

  • Improve Coding Accuracy: Reduce missed HCCs and improve risk score reliability.

  • Boost Productivity: AI-assisted coding reduces chart review time by up to 50%, freeing staff for high-value tasks.

  • Streamline Audit Preparation: RADV-ready packets simplify internal and CMS audits.

  • Gain Visibility: Track performance across coders, departments, and facilities.

  • Enhance Decision-Making: Analytics identify trends, gaps, and opportunities to optimize risk adjustment performance.

  • Reduce Compliance Risk: AI copilot flags missing documentation, MEAT inconsistencies, and HCC discrepancies.

Integrated With Your Workflow

HDM ChartCopilot™ Retro works alongside your existing systems:

  • EMRs & EHRs (Epic, Cerner, Allscripts, etc.)

  • Risk adjustment and revenue cycle management tools

  • Reporting and analytics platforms

Benefit: Minimal disruption to current operations—your team can adopt AI-assisted retrospective chart coding immediately.

Security & Compliance

  • HIPAA-compliant data handling and secure cloud infrastructure

  • Detailed audit trails for every coder action

  • Granular role-based access controls

  • On-premises deployment option for organizations with internal IT requirements

Enhanced User Experience

  • Intuitive Interface: Simple, clean dashboards for coders and managers

  • Adaptive AI Assistance: Suggestions improve over time based on coder decisions

  • Collaborative Coding: Coders can leave notes, share findings, and resolve queries efficiently

  • Mobile & Remote Access: Secure access from any location for distributed teams

Client Success Stories

"With HDM ChartCopilot™ Retro, we reduced chart review time by 40% and improved coding accuracy. Preparing RADV packets has never been easier."
— Medicare Advantage Plan Risk Adjustment Director

"The AI copilot flags missing documentation and guides coders in real time, saving countless hours."
— Senior Coding Auditor

"Analytics dashboards give us actionable insights into risk score gaps across multiple facilities."
— Health Plan Executive

FAQs

Q: Can HDM ChartCopilot™ Retro integrate with my EMR?
A: Yes, our solution supports most EMRs and claim systems, allowing direct chart imports.

Q: Is the AI making final coding decisions?
A: No, the AI assists your coders by highlighting potential HCCs and documentation, but final coding remains under human review.

Q: How secure is my data?
A: HDM ChartCopilot™ Retro is fully HIPAA-compliant, with end-to-end encryption and audit logs for all actions.

Q: How quickly can we see ROI?
A: Most clients report measurable productivity gains and coding accuracy improvements within the first 60 days of deployment.

Q: Can we customize workflows?
A: Yes, you can configure task sequences, alerts, and review processes to match your organizational needs.

Get Started Today

Accelerate retrospective chart coding, improve risk adjustment accuracy, and prepare RADV-ready charts efficiently.

Schedule a Demo