Learn how CareATC used ClosedLoop to replace rules-based risk stratification with machine learning. 75% of individuals for whom ClosedLoop’s predicted costs were more accurate than a rules-based system, and with ClosedLoop, CareATC achieved a 2.3X increase in identification of unplanned hospital admissions vs. their baseline.
With ClosedLoop, Healthfirst’s analytics team has dramatically enhanced its ability to train, test, and deploy AI-based models. The team has developed 978 custom features to supplement 612 features created using ClosedLoop’s pre-built templates. From this set of 1,590 features, Healthfirst has 17 deployed models that predict a variety of outcomes—from medication nonadherence to member churn. With ClosedLoop’s tools, Healthfirst’s data science team can reduce time spent on tasks that can be easily automated and focus on experimenting to create, validate, and deploy new predictive models that drive value for the organization and its members.
Chicago-Based Medical Home Network (MHN) is transforming healthcare for Medicaid patients through their Accountable Care Organization, a unique collaboration of ten Federally Qualified Health Centers and three hospital systems and their physician practices.