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."
How can AI tools--such as deep learning and neural networks--be used to predict unplanned hospital and skilled nursing facility admissions and adverse events? In the Artificial Intelligence (AI) Health Outcomes Challenge, the Centers for Medicare & Medicaid Services (CMS) is dangling up to $1.65 million in prize money to the innovators who can figure it out. Six hospitals and health systems are among the 25 participants who were selected from a field of more than 300 submissions. The ultimate goal is to harness AI solutions to predict health outcomes for healthcare providers and clinicians, as well as potential use in CMS Innovation Center innovative payment and service delivery models. "Artificial Intelligence is a vehicle that can help drive our system to value--proven to reduce out-of-pocket costs and improve quality," said CMS Administrator Seema Verma in a news release.
Out of more than 300 artificial intelligence proposals, the Centers for Medicare & Medicare Services (CMS) picked 25 organizations for the next stage of its AI challenge including IBM, Booz Allen Hamilton and Mayo Clinic. The organizations are competing for a $1 million prize to develop the best tool for predicting patient health outcomes. CMS says the AI challenge, which launched in March, will accelerate the development of AI solutions that aid clinicians in predicting health outcomes and keeping patients healthy. The central goal is to develop AI-driven predictions healthcare providers and clinicians participating in CMS Innovation Center models can use, CMS officials said. RELATED: CMS offers up to $1.6M in AI challenge for better healthcare prediction tools The challenge was created in partnership with the American Academy of Family Physicians and the Laura and John Arnold Foundation.
A UVA Health data science team is one of seven finalists in a national competition to improve healthcare with the help of artificial intelligence. UVA's proposal was selected as a finalist from among more than 300 applicants in the first-ever Centers for Medicare & Medicaid Services (CMS) Artificial Intelligence Health Outcomes Challenge. UVA's project predicts which patients are at risk for adverse outcomes and then suggests a personalized plan to ensure appropriate healthcare delivery and avoid unnecessary hospitalizations. CMS selected the seven finalists after reviewing the accuracy of their artificial intelligence models and evaluating how well healthcare providers could use visual displays created by each project team to improve outcomes and patient care. Each team of finalists received $60,000 and will compete for a grand prize of up to $1 million.
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.