On April 30th, 2021, the Centers for Medicare & Medicaid Services (CMS) announced ClosedLoop.ai as the winner of the Artificial Intelligence Health Outcomes Challenge—the largest healthcare-focused AI challenge in history.
The $1.6 million contest launched in March 2019 with more than 300 entrants representing the world’s leading technology, healthcare, and pharmaceutical innovators. Entrants competed to create explainable AI solutions that clinicians could trust to predict health outcomes, target scarce resources, and keep their patients healthy.
Interested in learning more about the AI solution CMS said "demonstrates AI’s potential to dramatically improve health outcomes, reduce administrative burden, and create smarter health IT"? Register to learn more about to ClosedLoop’s winning solution.
Watch the on-demand to discover how ClosedLoop ultimately emerged from the initial 300+ entrants as the winner. We discuss the two-year challenge, our approach to the solution development process, and the key lessons learned, including:
We've been a customer for over three years and have used ClosedLoop's AI based predictive models to target a variety of interventions aimed at reducing avoidable admissions and other adverse events. The Patient Health Forecast that ClosedLoop has developed for the CMS Challenge represents a huge leap forward in providing even deeper explainability to front line clinicians. Our clinicians don't need to wonder "why was this person flagged as high risk?" - the Patient Health Forecast explains exactly what each patient is at risk for and why
For many physicians and nurses, we learn by case studies or ‘anecdotes. When we see a patient on a particular medication, or with a particular diagnosis, we are often reminded of a unique case study or anecdote of a previous patient. Those mental images can bias us without question, as busy clinicians don't have time to review years of patient data to help us understand if our mental image is accurate for a patient with a similar set of symptoms.
“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.’
Using predictive analytics to supplement clinician-driven referrals has helped me identify more patients more quickly for complex case management. I have greater assurance knowing this tool is helping me find patients most in need of my care.
ClosedLoop stood out from other AI firms in that they offered not only a usable, flexible analytics platform but extensive healthcare expertise.