Proactively capture risk & Address your patient's healthcare needs

Take a Prospective Approach to Risk Adjustment at Point-of-Care with AI-Powered Clinical Decision Support

Clinical Decision Support
Capture Risk Prospectively

How We Support You
Capture Risk Prospectively

Retrospective approach leaves healthcare systems and plans exposed to penalties, losses and poor outcomes. It cannot stay compliant due to incomplete documentation and uncaptured conditions because the deadline for resolution has expired. With the transition to value-based care, the downside risk-bearing entities require a deep understanding of the quality, care gaps, and risks inherent in the population.

Rather than depending on the collection of individual episodic encounters in a Retrospective model, Health Systems and Plans need to manage their patient populations prospectively and holistically to capture accurate risk scores.

Technology today overwhelms physicians with data points. RAAPID’s Clinical Decision Support platform gives clinicians the Right information and insights at Right time to accurately diagnose, document and deliver optimal care.

The RAAPID Difference

Best in Industry
Class

Our NLP SaaS & Team rated highest in KLAS study

15+ Years of Innovation

Industry Pioneer in cutting edge Healthcare & Explainable AI solutions

Personalized
Solution

We align with your workflows to deliver truly custom solutions

Advanced
Technology

Tested & Trusted Technology on millions of clinical documents

Our Clinical Decision Support Solutions

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HCC Sage

World’s first personalized AI Powered Prospective Risk Adjustment Suspect Analytics Platform.

Now leverage NLP and deep learning to suspect diagnosis and recapture chronic conditions. These actionable insights are presented to pre visit team in clinical workflows before a patient-clinician encounter so that clinicians can capture, document and close diagnosis gaps and improve care quality.

HCC Triage

World’s first personalized AI Powered Prospective Risk Adjustment Prioritization Tool

Now leverage NLP and deep learning to prioritize members/patients’ for Annual Wellness Visits (AWVs). Gap identification and member stratification help clinicians stay up to date on patient needs and shift the patient-doctor relationship from reactive to proactive

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Make the Most out of RAAPID's AI Risk Adjustment Technology

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Years of Healthcare & AI Experience
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Healthcare Clients Served
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Return On Investment
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Increased Efficiency And Productivity
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Complete, Defensible Risk Scores
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Optimized Reimbursement

Customer Insights