CMS Seeks Innovative Solutions

CMS has announced a new competition to encourage and accelerate innovative solutions to better predict health outcomes and improve the quality of care for patients. The American Academy of Family Physicians and the Laura and John Arnold Foundation are partnering on the CMS “Artificial Intelligence Health Outcomes Challenge” to help innovators from all sectors harness AI solutions to predict health outcomes.

“The CMS “Artificial Intelligence Health Outcomes Challenge” will enable innovators to demonstrate how artificial intelligence tools such as deep learning and neural networks can be used to predict unplanned hospital and skilled nursing facility admissions and adverse events”, reports CMS Administrator Seema Verma.

The Challenge is a three stage competition that will begin with the Launch Stage where participants will submit an application. Up to 20 participants will be selected to participate in Stage 1 of the Challenge. CMS anticipates that more information on Stage 1 and Stage 2 will be announced later this year.

CMS and the partnering organizations will award up to $1.65 million to selected participants in Stage 1 and Stage 2 but prize amounts are subject to change. If selected for Stage 1, participants will develop algorithms that predict health outcomes from Medicare fee-for-service data, and include strategies and methodologies to explain how AI driven predictions can help frontline clinicians and physicians. Participants in Stages 1 and 2 will use Medicare claims data sets provided by CMS to develop their algorithms and solutions.

The deadline for submitting applications is June 18, 2019. For the notice for the Challenge go to and submit an application at

Go to for a fact sheet on the Challenge.

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