Seth Frazier

Biography

Seth oversees Evolent Health’s client transformation practice. He works with a wide range of health systems, academic medical centers, payers and alliances from New England to California to develop and optimize value based strategy and operations.  He most recently served as the Chief Transformation Officer for the Geisinger Health System prior to joining Evolent. His responsibilities included providing business leadership to large-scale innovation projects within the health system (e.g., Geisinger Accelerated Performance Program) and external consulting for Geisinger Ventures. Prior to Geisinger, Seth was Senior Vice President, Strategic Services for The Children’s Hospital of Philadelphia (CHOP). Seth led CHOP’s national contracting for tertiary services, proton therapy development initiative, and strategic plan development and management. Before assuming the strategic services role, Seth had executive responsibilities for CHOP-affiliated Children’s Health Net, a pediatric managed care organization that developed and managed a globally capitated PCP network under contract with the dominant regional HMO. Seth came to CHOP after a 9-year consulting career with a large national health care firm. His practice areas included clinical resource management, managed care, service line strategy, hospital redesign and strategy.  He holds an MBA from the Wharton School as a Kaiser Fellow and a BA (Honors) in Economics from Haverford College.

 

Presentation Details

Title:
How Predictive Analytics Is Changing the Way We Care For Patients

Description:
If you are investing in population health, stratification really matters. This presentation will focus on how predictive analytics, particularly in combination with social determinants, brings needed precision to selecting and managing patients. We will go beyond theory to discuss how predictive analytics has been successfully applied within provider organizations like yours.

Learning Objectives:

  • What is predictive analytics and how does it impact providers and patients?
  • How do social determinants impact the accuracy of predictive analytics?
  • What does predictive analytics look like in practice within a provider organization?