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.
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.
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 & 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.
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.