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.
Israel-based Medial EarlySign and Geisinger Health System have partnered to apply advanced artificial intelligence and machine learning algorithms to Medicare claims data to predict and improve patient outcomes. An EarlySign-Geisinger proposal has been selected as one of 25 participants to advance to Stage 1 of a technology challenge from the Centers for Medicare and Medicaid Services to accelerate the development of AI and machine learning solutions for healthcare. "Approximately 4.3 million hospital readmissions occur each year in the U.S., costing more than $60 billion, with preventable adverse patient events creating additional clinical and financial burdens for both patients and healthcare systems," says David Vawdrey, Geisinger's chief data informatics officer. "Together with our partner EarlySign, we have forged a dynamic team that is rapidly developing novel solutions to achieve the Quadruple Aim of improving the patient experience of care, improving the health of populations, reducing cost and improving clinical care provider satisfaction," adds Vawdrey. The AI vendor and Danville, Penn.-based regional healthcare provider intend to develop models that predict unplanned hospital and skilled nursing facility admissions within 30 days of discharge and adverse events such as respiratory failure, postoperative pulmonary embolism or deep vein thrombosis, as well as postoperative sepsis before they occur.
The Centers for Medicare and Medicare Services this week announced the 25 participants selected to move on to the next round of its Artificial Intelligence Health Outcomes Challenge. WHY IT MATTERS Launched this past March by the CMS Innovation Center, in collaboration with the American Academy of Family Physicians and the Laura and John Arnold Foundation, the AI Health Outcomes Challenge aims to give innovators a showcase for how they're developing AI and machine learning technologies, deep learning tools and neural networks. While the focus is on helping hospitals and health systems drive cost efficiencies for value based reimbursement, prevent adverse patient safety events and boost quality outcomes, CMS put out the call innovators from all sectors of the economy – not just from healthcare. More than 300 different organizations submitted proposals. They were evaluated by a group of data science experts, clinical informaticists and care providers.
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.
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.