ORLANDO -- Use of a machine learning-based pediatric early warning score was associated with lower odds of critical events among hospitalized children, according to a pre- versus post-implementation ...

In a recent article published in eClinicalMedicine, researchers propose a novel predictive model based on machine learning (ML) for the early prediction of adverse events (AEs), such as cardiac arrest ...

Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...

A study conducted across seven hospitals within the Yale New Haven (Conn.) Health System found that Epic’s Deterioration Index underperformed compared to other early warning scores in detecting ...

A new study from Yale New Haven Health System — YNHHS — reveals significant differences in the performance of early warning systems designed to predict clinical deterioration in hospitalized patients.