PHILADELPHIA – Jefferson advances as a finalist in the nationwide challenge to improve health outcomes through artificial intelligence, sponsored by the U.S. Centers for Medicare & Medicaid Services. Each of the seven CMS finalists receives a $60,000 prize and the opportunity to win the grand prize of $1 million or $230,000 for the runner-up. A multidisciplinary team of data scientists, data engineers, and physicians combined their collective experience to create the submission for the CMS Artificial Intelligence Health Outcomes Challenge. The winner will show how AI and machine learning can more strongly predict unplanned admissions and adverse events at hospitals and skilled nursing facilities. These insights can help healthcare providers to identify risk, intervene early, and ultimately improve patient outcomes.

The Centers for Medicare and Medicaid Services has launched a new contest it hopes will speed the development of new artificial intelligence technologies that can better predict health outcomes and boost quality of care. WHY IT MATTERS CMS says the Artificial Intelligence Health Outcomes Challenge – announced by the agency on Wednesday, in partnership with American Academy of Family Physicians and the Laura and John Arnold Foundation – seeks to uncover and "unleash" new and innovative tools to help with the push toward value-based care. To do that, CMS is calling on developers from all industries to create new predictive AI applications to help providers participating in CMS Innovation Center models to deliver better care and make quality measures more impactful. "The Artificial Intelligence Health Outcomes Challenge is a three stage competition that will begin with the Launch Stage, in which participants will submit an application at ai.cms.gov," "Up to 20 participants will be selected to participate in Stage 1 of the Challenge. We anticipate that more information about Stage 1 and Stage 2 will be announced later this year."