Case Studies

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.

Learn how 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.

Read how incorporating SDoH data into its models allowed Medical Home Network to proactively identify and connect individuals likely to incur high costs with care management resources and community-based organizations.