Improving patient flow in the emergency department with an AI solution that predicts whether a patient needs to be admitted

Demand in the emergency department (ED) is a major challenge, affecting care, workloads and patient satisfaction. This project aims to improve patient flow in the ED by starting the admission process earlier. As part of the AI team at St. Antonius Ziekenhuis, we developed an algorithm to help its doctors decide whether a patient can go home or needs to be admitted. By informing wards in good time about a potential admission, they can prepare earlier and patients can move from the ED to the ward sooner.