Cost-Saving Chronic Disease Care Management

Proactive health plans seek to identify and engage with patients who are at risk of developing chronic diseases. Today, health plans can leverage technology such as predictive AI models to derive clinical insights from health data (claims, lab, pharmacy, health checks, etc.) for disease identification, monitoring and progression evaluation. This data provides timely interventions and determine the optimum treatment plan to give the best care to at-risk and diagnosed patients.

We can predict the risk of chronic disease progression with a high degree of accuracy before an actual diagnosis, enabling your care teams to take immediate action and improve preventive member care and reduce costs. Our AI engine is augmented with more than 60 million medical claims of over 8 million members as well as over 31 million pharmacy claims to analyze and predict these outcomes. It’s time to power healthcare digital transformation with AI.

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Why Chronic Disease Prediction Matters in Healthcare

Chronic care treatments can be expensive due to the time and resources involved in treating patients. By advocating proactive measures that promote healthy behaviors, health plans can potentially avoid high-cost treatments while fostering a positive patient experience.

HERE'S WHAT YOU SHOULD KNOW

Offering Details

Actionable Insights & Early Intervention

Get timely, personalized insights to improve patient care, implement preventive measures and reduce costs while enabling care teams take an integrated approach that aligns with value-based care.

Disease Progression Prediction

Connect the dots between payers, providers, and pharmacies for a 360-degree view of a member’s health journey and places data in a visual summary dashboard that organizes results into actionable metrics.

Disease Risk Prediction

Integrate socioeconomic indexes to enable population health management and aligns with federal and state goals to reduce the financial burden of chronic disease on the healthcare system through chronic diseases risk prediction.

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