Using machine learning in the electronic medical record to save lives of hospitalized children

In a report published in Pediatric Critical Care Medicine, a team from Nationwide Children’s Hospital describes a machine learning tool for timely identification of hospitalized children at risk for deterioration—a worsening clinical condition with increased risk of morbidity and mortality. The tool, which is trained on disease-specific groups, promisingly outperformed the existing situational awareness program in identifying at-risk children.