Johns Hopkins researchers have developed an electronic triage tool to help emergency departments quickly and more accurately determine those patients who are critically ill and to assign priority treatment levels.
The e-triage tool identifies relationships between predictive data and patient outcomes by leveraging an algorithm based on a systems engineering approach and advanced machine learning more commonly used in industries outside of healthcare, such as defense, finance and transportation.
