Our Solutions

Prospective & Retrospective
Gap Suspecting
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.

Benefits

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Full Population
Scan
By starting with claims data, our process looks at all members of the population simultaneously. This instantly gives you a holistic view of your patient population.
Acceleration of Clinical Validation. The icon is a paper back book of documentation.
Acceleration of Clinician Validation
Clinicians are provided with the specific member, encounter, and clinical documentation to address the suspected care gaps.
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Missing HCCs
Identified
50,000+ rules including local market pattern practices and SDOH factors are used to evaluate members’ existing HCCs and identify care gaps.
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Complete Care
Gap Closure
Magenta confirms that gaps were closed by monthly automated data review with open gaps tracked and reported. Reimbursement for closed gaps is tracked and validated.
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Transparency Behind Logic
Each potential finding for 
a given member can be viewed on a timeline showing all member claim events with underlying reasons highlighted for direct access to data and relevant clinical documentation.