Create a solution
to predict health outcomes.
Do you have an idea for an AI solution that predicts health outcomes while building trust and transparency with clinicians and patients?
This challenge is an opportunity for innovators to demonstrate how AI tools, such as deep learning and neural networks, can be used to predict unplanned hospital and skilled nursing facility (SNF) admissions and adverse events. The challenge will prioritize explainable AI solutions, which can work with front-line clinicians and patients to improve data feedback and drive quality improvements.
The Centers for Medicare & Medicaid Services’ (CMS’) Center for Medicare and Medicaid Innovation (Innovation Center) is launching the Artificial Intelligence (AI) Health Outcomes Challenge, in collaboration with the American Academy of Family Physicians and the Laura and John Arnold Foundation. The CMS AI Health Outcomes Challenge will distribute up to $1.65 million to encourage further progress in AI for health and health care and to accelerate development of real-world applications for this technology.
Participants will analyze large health care data sets and develop proposals, AI driven models, and frameworks that accurately predict unplanned hospital and SNF admissions and adverse events.
CHALLENGE LAUNCH STAGE OPENS
Wednesday, March 27, 2019
June 18, 2019
LAUNCH STAGE JUDGING PERIOD
June 18, 2019 – July 19, 2019
STAGE 1 PARTICIPANTS ANNOUNCED
July 19, 2019
*Dates Subject to Change*
continue to Stage 1
Five finalists progress to Stage 2
and receive awards of $80,000
One winner will receive $1,000,000
and runner-up will receive $250,000
*Prize Amounts Subject to Change*
HOW TO ENTER
Enter the CMS AI Health Outcomes Challenge in Four Easy Steps:
on the problem, the submission requirements, and the judging criteria
for the challenge on the register page
the informational webinar, to be announced at a later date
your application by
June 18, 2019 at 5 p.m. ET.
Learn about the criteria used to evaluate applications.