Wins $1.6 Million CMS Artificial Intelligence Health Outcomes Challenge

AUSTIN, Texas–()–, healthcare’s knowledge science platform, has gained the Centers for Medicare & Medicaid Services (CMS) Artificial Intelligence (AI) Health Outcomes Challenge, the biggest healthcare-focused AI problem in historical past. ClosedLoop beat out greater than 300 of the world’s main know-how, healthcare, and pharmaceutical organizations, together with IBM, Mayo Clinic, Geisinger, Merck, Accenture, and Deloitte. The $1.6 million Challenge prioritized creating “explainable artificial intelligence solutions to help front-line clinicians understand and trust AI-driven data feedback” to reveal how AI options may predict unplanned hospital admissions and opposed occasions – a $200 billion downside that impacts practically 32% of Medicare beneficiaries. The win solidifies ClosedLoop because the trade chief in delivering explainable AI options that clinicians belief to foretell well being outcomes, goal scarce sources, and hold their sufferers wholesome.

ClosedLoop’s explainable predictive fashions already positively influence greater than three million sufferers each day. “Our Patient Health Forecasts (PHF) were key to winning the Challenge. We reimagined the entire concept into a comprehensive and personalized risk forecast that could be delivered directly into a clinical workflow,” mentioned ClosedLoop CTO and Co-founder Dave DeCaprio. “Each forecast surfaces key variables and explains precisely how they contribute to a patient’s specific risk.” The forecasts combine related medical info and hyperlink to particular interventions that medical groups use to stop opposed occasions, enhance outcomes, and scale back pointless prices.

“Clinicians are eager to use the latest innovations to better help identify patients at risk, provide higher quality care, and improve health outcomes. The use of artificial intelligence has the potential to achieve these aims by providing important information to clinicians that may be helpful in providing higher quality care,” mentioned CMS Acting Administrator Liz Richter. “CMS’s AI Health Outcomes Challenge has brought this exciting future one step closer to reality by engaging with some of the country’s brightest AI innovators. We congratulate and Geisinger on their achievements, and all the Challenge finalists and participants for helping increase the information available to clinicians to improve patient care.”

ClosedLoop has constructed tons of of predictive algorithms for the trade’s high healthcare organizations over the previous a number of years. Customers like HealthFirst, New York’s largest nonprofit well being plan, and Medical Home Network, the biggest Medicaid ACO within the nation, belief ClosedLoop’s knowledge science platform and unparalleled precision to assist them predict power and preventive care wants, prioritize outreach, and personalize their intervention methods.

“For many physicians and nurses, we be taught by case research or ‘anecdotes,’” mentioned ClosedLoop buyer Dr. Jim Walton, Genesis Physician Group CEO. “When we see a affected person on a specific medicine, or with a specific analysis, we are sometimes reminded of a novel case examine or anecdote of a earlier affected person. Those psychological pictures can bias us, with out query, as busy clinicians do not have time to evaluation years of affected person knowledge to assist us perceive if our psychological picture is correct for a affected person with the same set of signs.

“ClosedLoop’s Patient Health Forecast, if we can learn to trust it, can help reverse this tendency, and say to all clinicians interested in practicing excellent care: ‘trust the machine to help you find the relevant information – the needles in the haystack – and disabuse you of your anecdotal reflex.’”

While the ClosedLoop platform is already extensively trusted by healthcare organizations throughout the nation, the CMS Challenge accelerated the creation of further explainable interfaces. The newest model of the Patient Health Forecast is available in private beta for existing customers and select strategic partners.

“Finding effective ways to improve outcomes and reduce the cost of care is a national imperative. The CMS Challenge demonstrated how AI solutions can be a powerful tool to help achieve that,” mentioned ClosedLoop CEO Andrew Eye. “As the leading provider of AI solutions in healthcare, the Challenge drove us to improve our capabilities across the board – scalability, accuracy, deep explainability, and ways to address algorithmic bias and fairness. In the end, we didn’t stop at ‘AI that clinicians trust.’ We built a product that clinicians love.”

About ClosedLoop

ClosedLoop is healthcare’s knowledge science platform. We make it straightforward and inexpensive for healthcare organizations to make use of knowledge science to enhance high quality and scale back prices. The ClosedLoop platform is purpose-built to make healthcare-focused knowledge scientists more practical at their jobs. By offering off-the-shelf fashions for widespread healthcare use circumstances and automating lots of the handbook processes concerned in conventional knowledge science duties, ClosedLoop permits knowledge scientists to concentrate on the impactful issues that drive actual worth for organizations. Winner of the Centers for Medicare and Medicaid Services AI Health Outcomes Challenge, ClosedLoop is headquartered in Austin, Texas. For extra info, go to


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