How ClosedLoop Won the CMS AI Challenge
ClosedLoop CTO, Dave DeCaprio, details how we won the CMS AI Health Outcomes Challenge, what obstacles we encountered along the way, and what contributed to our winning submission.
In 2021, ClosedLoop won the Centers for Medicare and Medicaid Services (CMS) AI Health Outcomes Challenge — the largest healthcare-focused AI challenge in history. The $1.6 million contest centered on creating explainable AI solutions to predict health outcomes and surface key insights that clinical end-users could easily understand and trust.
In addition to accuracy and explainability, CMS judged submissions on how effectively they addressed algorithmic bias and fairness. ClosedLoop’s submission excelled across all evaluation criteria, beating out more than 300 of the world’s leading technology, healthcare, and pharmaceutical organizations including IBM, the Mayo Clinic, Geisinger, Merck, Accenture, and Deloitte.
Watch the webinar to learn how ClosedLoop overcame the other participants to win with a data science platform built for healthcare.
Watch the webinar
How and Why You Should Assess Bias & Fairness in Healthcare AI Before Deploying to Clinical Workflows
Watch the on-demand session to learn why it's important to evaluate algorithms for bias before deployment and what metrics you can use to assess bias. Plus, get a demo of new product features built precisely for this purpose.
AWS Accelerator Focus on Health Equity
Andrew Eye, CEO and Co-Founder of ClosedLoop, and Amanda Goltz, lead for the AWS Accelerator focused on health equity, join the AWS Health Innovation podcast to discuss how startups are addressing health equity.
ClosedLoop Named Best in KLAS 2023
ClosedLoop ranked #1 in Healthcare Artificial Intelligence: Data Science Solutions for the second year in a row. ClosedLoop received “A+”s and “A”s across all evaluation categories, scoring 95.2 overall on a 100-point scale based directly on feedback from customer interviews with KLAS.