AI-Powered Retrospective Risk Adjustment
D4Retro is an end-to-end, AI-assisted, retrospective chart review platform. In the evolving landscape of healthcare ai, we empower healthcare organizations to validate, recover, and defend HCCs from historical encounters with greater speed, accuracy, and scalability.
Built on D4H’s proprietary healthcare NLP and risk adjustment–specific AI language models, the D4Retro retrospective engine analyzes healthcare data across prior encounters to surface missed, under-coded, or unsupported HCCs. Our technology stays ahead of healthcare trends, providing coders with a fully integrated UI and workflow to efficiently complete compliant reviews.
D4Retro’s AI assisted coding engine significantly improves coding accuracy and review team’s productivity.
D4H does Risk Adjustment differently, bringing this business critical program back in-house - giving you complete control over what gets coded, reviewed and submitted. Our clients see greatly improved RAF scores, lower costs and reduced exposure under Risk Adjustment Data Validation (RADV) audit.
Accuracy-Driven Performance Insights
Coding Accuracy
+99% accuracy for mapping diagnoses codes to the correct HCC
Unlimited Chart Volume
Need to code more charts? No worries, you can run as many charts as you like, at no added cost. With D4Retro you’ve got complete control of chart volume and system throughput.
Productivity Improvement
5X throughput improvement over legacy chart review processes.
RAF Score Improvement
Clients see > 40% increase in per chart value. D4Retro AI assists coders by confirming existing diagnoses, flagging under-coded conditions and suggesting evidence-backed missed conditions.
Enterprise Performance
Proven technology that delivers measurable results at enterprise scale
Industry-leading performance
Validated by peer reviewed publications and third-party benchmarks.
Proven ROI
Measurable lift in throughput and captured value for our health plan partners.
Scalable by design
High-volume workloads across millions of records with consistent precision.
Compliance & Precision
Built for Trust and Accuracy
D4H is designed for environments where compliance, precision and transparency are non-negotiable.
More captured value
Find supported, under coded HCCs with evidence packaged for action.
Less wasted review time
Page-level evidence and provenance reduce "PDF hunting" and speed decisions.
Stronger audit posture
MEAT-aware findings help prevent overcoding and improve RADV readiness.
Higher trust output
Every recommendation ships with "why", so reviewers can validate in seconds.
Built to run at scale
Designed for high-volume retrospective workflows across millions of records with consistent output quality.
Deployed inside your environment
Runs in your cloud/VPC or on-prem to keep PHI safe under your control. No external data egress required.
Our Process
Recover Missed HCCs & Optimize Risk Score Accuracy
Integrate records, structure chart evidence, and turn retrospective findings into targeted action.
Data Collection & NLP Extraction
Integrate source records and convert chart content into structured clinical signals.
- EHR & Clinical Notes plus Claims & Labs
- De-identify records and extract entities
- Classify concepts for downstream analysis
Patient Journey & Insights
Track progression over time and surface predictive patterns across cohorts.
- Timeline View and Treatment Paths
- Cohort Analysis and Risk Stratification
- Outcome Predictions and Population Trends
Action
Act on retrospective opportunities with focused interventions and clinical follow-through.
- Targeted Interventions
- Clinical Decision Support
- Patient Outreach