Sign In

Communications of the ACM

ACM Careers

Seven Finalists Vie for AI Health Outcomes Challenge


View as: Print Mobile App Share: Send by email Share on reddit Share on StumbleUpon Share on Hacker News Share on Tweeter Share on Facebook
robotic physician with stethoscope

Credit: Getty Images

The Centers for Medicare & Medicaid Services (CMS) announced seven finalists who will advance to the final round of the Artificial Intelligence Health Outcomes Challenge.  This multi-stage competition launched last year with more than 300 entities proposing AI solutions for predicting patient health outcomes aimed at revolutionizing healthcare for potential use by the CMS Center for Medicare and Medicaid Innovation.

In this last stage of the competition, the seven finalists will further develop algorithms that demonstrate how AI tools can be used to predict unplanned hospital and skilled nursing facility admissions and adverse events, and also will develop predictive algorithms for a standard target to be selected by CMS. CMS will announce the Grand Prize winner (who will receive up to $1 million in prize money) and Runner-Up (who will receive up to $230,000 in prize money) by the end of April 2021.

The Finalists are:

  • Ann Arbor Algorithms (Sterling Heights, MI)
  • ClosedLoop.ai (Austin, TX)
  • Deloitte Consulting LLP (Arlington, VA)
  • Geisinger (Danville, PA)
  • Jefferson Health (Philadelphia, PA)
  • Mathematica Policy Research Inc. (Princeton, NJ)
  • University of Virginia Health System (Charlottesville, VA)

From CMS
View Full Article


 

No entries found

Sign In for Full Access
» Forgot Password? » Create an ACM Web Account