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Overview on "The State of Predictive Analytics in U.S. Healthcare"


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Original report created by Modern Healthcare and Society of Actuaries
I have summarized the contents of the report in PowerPoint, and added some of my perspectives.

Published in: Health & Medicine
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Overview on "The State of Predictive Analytics in U.S. Healthcare"

  1. 1. A QUICK OVERVIEW ON “THE STATE OF PREDICTIVE ANALYTICS IN U.S. HEALTHCARE” Original Report by Modern Healthcare and Society of Actuaries Summarized by Yubin Park, PhD 1
  2. 2. ABOUT THIS OVERVIEW • Based on the original report prepared by Modern Healthcare and Society of Actuaries • You can download the original report from • • Please read the original report for more detailed and comprehensive information 2
  3. 3. EXECUTIVE SUMMARY • Predictive analytics can help healthcare organizations manage various types of risk • Payers and providers are at different stages of adopting predictive analytics • Payers and providers face different sets of challenges for implementing predictive analytics • Both payers and providers agree that the role of predictive analytics will grow further 3
  4. 4. EXPANSION OF “RISK” • The meaning of risk is expanding in the new era of accountable care • Predicting risk is more important than ever 4 Risk Malpractice Financial accountability Staffing needs Clinical outcome Population management
  5. 5. SURVEY POPULATION • Modern Healthcare Custom Media conducted a survey to find out the current state of predictive analytics in the U.S. healthcare • 388 healthcare executives responded to the survey 5
  6. 6. PREDICT CLINICAL & FINANCIAL OUTCOMES Clinical and financial outcomes are the primary interests 6
  7. 7. OBSTACLES FOR PREDICTIVE ANALYTICS Shows an absence of strategy or urgency around using predictive analytics Technical challenges are the main obstacles - Incomplete data - Lack of sufficient technology 7
  8. 8. OBSTACLES: PAYERS vs. PROVIDERS PAYERS • Incomplete Data (31%) • No barriers (15%) PROVIDERS • Lack of Sufficient Technology (23%) 8 Different obstacles for payers and providers
  9. 9. ADOPTION OF PREDICTIVE ANALYTICS • 80% of payers are currently using predictive analytics • More than half of providers are not using predictive analytics 9
  10. 10. WHAT’S BEING PREDICTED TODAY? PAYERS • Costs (77%) • Clinical outcomes (57%) PROVIDERS • Readmissions (62%) • by hospitals and health systems • Staffing/workforce needs (50%) • Adverse events (39%) 10 Payers and providers use predictive analytics for different purposes
  11. 11. ACCORDION’S PERSPECTIVES • The boundary between payer and provider is disappearing in value-based care • Payers are already interested in predicting clinical outcomes • Risk-taking providers would want to know about financial outcomes of their patients • Jointly predicting financial and clinical risks will be the key for successful and sustainable value-based care implementation 11
  12. 12. CONTACT • Yubin Park, PhD • Chief Technology Officer at Accordion Health, Inc. • [first name] [at] accordionhealth [dot] com 12