Predicting Chief Complaints at Triage Time in the Emergency Department

Abstract

As hospitals increasingly use electronic medical records for research and quality improvement, it is important to provide ways to structure medical data without losing either expressiveness or time. We present a system that helps achieve this goal by building an extended ontology of chief complaints and automatically predicting a patient’s chief complaint, based on their vitals and the nurses' description of their state at arrival.