Webinars
June 4th, 2025 12:00 PM ET

How prospective risk adjustment fuels accuracy, efficiency, and financial growth

In partnership with AMGA
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As organizations mature into value-based care, the shift from retrospective to prospective risk adjustment is becoming a strategic advantage. This webinar explores how forward-looking organizations are enhancing risk accuracy, improving provider workflows, and driving stronger financial performance through prospective coding.

Attendees will learn actionable strategies for embedding risk adjustment directly into clinical workflows, empowering providers with timely insights, and reducing the administrative burden of retrospective reviews. The discussion will also address how to align coding practices with organizational goals—supporting more accurate reimbursements and better care outcomes across Medicare Advantage, ACOs, and Commercial populations.

Key takeaways: 

  • ‍Reduce documentation burden by shifting risk adjustment upstream
    Learn how prospective coding simplifies end-of-year cleanup by enabling timely, pre-visit documentation and reducing reliance on retrospective chart reviews.‍
  • Improve risk accuracy and reimbursement through timely coding
    Discover strategies for capturing chronic and complex conditions in real time, reducing missed opportunities and improving financial performance.‍
  • Deliver risk insights at the point of care without disrupting workflow
    See how intuitive, in-EHR tools help providers identify and act on suspect diagnoses during the visit—supporting accuracy without adding administrative burden.‍
  • Align risk adjustment with broader organizational goals
    Explore how prospective coding supports clinical, operational, and financial success across Medicare Advantage, ACO, and Commercial programs.
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Dana McCalley, MBA
Dana McCalley, MBA
VP of Value-Based Care, Navina
Jonathan Meyers, FSA, MAAA
Jonathan Meyers, FSA, MAAA
CEO, Seldon Health Advisors
Gary Pilling II
Gary Pilling II
President of VBC Health Advisors LLC
Watch on-demand
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