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CMS
Advances Seven Finalists in Artificial Intelligence Health Outcomes
Challenge
The Centers for Medicare & Medicaid Services (CMS) today
announced seven finalists who will advance to the final round of the
Artificial Intelligence (AI) 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. Today’s announcement aligns with President
Trump’s Executive Order on Maintaining American Leadership in Artificial
Intelligence and delivers cutting-edge solutions for keeping U.S. patients
healthy. 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. “President Trump recognizes that the complexity and growth of
data in healthcare holds the potential to transform healthcare, and AI is the
key to manage and analyze that data,” said CMS Administrator Seema Verma. “At
CMS, we agree that AI is the future of health care, and a powerful resource
helping providers make predictions and engage in more meaningful health
conversations with patients. The participants in our AI Challenge demonstrate
that such possibilities will soon be within reach. The seven finalists
selected to Stage 2 represent the finest the AI community has to offer. We
look forward to seeing what’s in store from this top notch group of
innovators.” The Finalists are:
The CMS AI Challenge attracted innovators from all sectors – not
just from healthcare – to harness AI solutions to predict health outcomes. To
select the seven finalists, CMS conducted a rigorous review that included
checking compliance with application requirements and an assessment by AI
experts. The submission parameters and evaluation process were designed with
input from these AI experts. Submissions aimed to forecast a variety of
outcomes, including unplanned admissions related to heart failure, pneumonia,
COPD, and various other high-risk conditions; and adverse events such as
hospital-acquired infections, sepsis, and respiratory failure. In Stage 2,
finalists will also be required to address implicit algorithmic biases that
impact health disparities in their submissions. CMS evaluated each submission based on the model’s performance –
specifically, accuracy and how well innovators visually demonstrated how
clinicians could use their model forecasts to improve patient care and
outcomes. Clinicians from the American Academy of Family Physicians, a CMS
partner in the AI Challenge, reviewed and evaluated the visual displays. A
panel of CMS senior leadership reviewed the assessments of the expert
evaluation panel, and selected the seven finalists, who will each receive
$60,000 in prize money and have the opportunity to compete for the Grand
Prize and Runner-Up awards. The CMS AI Health Outcomes Challenge was launched in March 2019
by the CMS Innovation Center in collaboration with the American Academy of
Family Physicians and Arnold Ventures. More information on the CMS AI Health Outcomes Challenge is
available at: go.cms.gov/AI. ### Get CMS
news at cms.gov/newsroom, sign up for CMS news via email and follow CMS on Twitter CMS
Administrator @SeemaCMS and @CMSgov. |
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Thursday, October 29, 2020
CMS Advances Seven Finalists in Artificial Intelligence Health Outcomes Challenge
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