AI-Powered Martlet Retrospective Risk Adjustment
Martlet Retrospective 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 Martlet's proprietary healthcare NLP and risk adjustment–specific AI language models, the Martlet Retrospective 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.
Martlet Retrospective’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 Risk Score Accuracy, 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 Martlet Retrospective 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. Martlet Retrospective 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
Martlet 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.
Ingest & Normalize
Pull clinical data, standardize, and de-duplicate at scale.
- Pull notes/PDFs, encounters, and claims
- Standardize and de-duplicate at scale
- Process millions of records reliably
Detect & Prioritize
Identify gaps with MEAT evidence, ranked by impact.
- Identify HCC gaps + validate existing codes
- Link each finding to MEAT evidence (reduce overcoding risk)
- Prioritize chases by impact (RAF lift / yield)
Review & ROI
Fast reviews with linked docs and continuous improvement.
- Reviewer UI built for speed (page-level references)
- Push provider suggestions with links to historical docs
- Improve future suggestions with your feedback and standards