A Machine Learning Model Proves Helpful In Assisting Emergency Call Triage

This study published in Health Data Science has proven that a machine learning model can be used as a decision-support tool for Emergency Medical Services (EMS) dispatchers, resulting in improved triage quality and ambulance utilization. The model is able to capture complex and subtle relationships, and well-trained data models can yield accurate predictions in a split of a second. This is especially important in cities with a growing and aging population yet a disproportional ambulance fleet, as accuracy of the EMS triage is a looming concern.