Prospective & Retrospective
Magenta produces a rapid, detailed analysis
from historical claims data that identifies missing HCCs by members including RAF lift.
The output includes recommended next steps,full transparency behind suspects, and targeted chart retrieval suggestions.
Suspect Deletes & Compliance
Our analytics identify members with unsupported HCCs, members with a higher acuity rate than likely appropriate, and members who are undertreated. Using machine learning clustering, heuristics, and reverse analytics, we deliver an accuracy rate of over 90% for re-review.
Medical Records Vault
Member engagement patterns are surfaced to enable review targeting based on actionability. Organization specific rules can be incorporated to tag suspect members and conditions for specific workflow processes.
Coder & Clinician Productivity Tools
A web-based dashboard is available for coders and clinicians to review HCC suspects increasing productivity by 10x. Organization specific rules can be incorporated to tag suspect members and conditions for specific workflow processes.