Access our presentation slide deck discussing Risk Adjustment Analytics from the RISE July 16 Webinar with Blue Cross of Idaho. Here are the key takeaways:

Key Takeaways from the Slide Deck:

• Harnessing Predictive Algorithms for Risk Adjustment: In this section, we explore how predictive algorithms can solve common challenges in risk adjustment, such as incomplete member histories and the evolving Part D landscape. Learn how these tools enhance decision-making and improve risk adjustment accuracy, helping health plans optimize their member management strategies.
• The Synergy Between Retro-Coding and Advanced Analytics: Discover the powerful combination of retro-coding and advanced analytics. This approach helps you gain a deeper understanding of your member populations. It improves coding accuracy and provides richer insights into population health trends.
• Identifying and Responding to V28 Model Impacts: See how analytics can help identify the impacts of the V28 model on your health plan. Understanding these impacts is crucial. It allows you to adjust strategies and optimize performance while staying compliant.
• Real-World Case Study with Blue Cross of Idaho: Gain insights from a detailed case study featuring Blue Cross of Idaho. This example highlights the real-world benefits of using advanced analytics in risk adjustment. It offers a proven blueprint for integrating these tools into your risk adjustment strategy for greater success.

Access the Webinar Recording:

To complement your understanding and dive deeper into these topics, access the full webinar recording, here. This recording provides additional context and expert discussions that complement the slide deck.

Discover More About Episource Analytics:

Interested in applying these advanced risk adjustment analytics strategies to your own organization? Learn more about Episource Analytics and how our solutions can help you optimize your risk adjustment processes and improve member outcomes. Explore Episource Analytics here.