ClosedLoop.ai, healthcare’s data science platform, has won the Centers for Medicare & Medicaid Services (CMS) Artificial Intelligence (AI) Health Outcomes Challenge, the largest healthcare-focused AI challenge in history.
The challenge developed by the CMS Innovation Center to find new AI-powered approaches to predicting health outcomes for Medicare beneficiaries initially drew more than 300 entries from across all industries, including Accenture, Deloitte, Geisinger, IBM, Mayo Clinic and Merck.
After a challenging 2020, health systems are looking to deploy strategies for recovery, especially to bolster financial health. One strategy health executives are considering is investing in predictive modeling technology.
ClosedLoop.ai, healthcare’s data science platform, today announced a new relationship with Palm Beach Accountable Care Organization (PBACO), one of the nation’s leading and most successful physician-led ACOs in the Medicare Shared Savings Program (MSSP).
ClosedLoop makes it easy and affordable for healthcare organizations to use data science to improve outcomes and reduce costs by combining an intuitive end-to-end machine learning platform for data scientists with a catalog of healthcare specific predictive models and features.
KLAS examines the recent AI purchase decisions of 47 organizations to determine which vendors are being considered and chosen, which are being replaced, and why provider and payer organizations choose the AI solutions they do (technology? service? healthcare expertise?).