This research investigates whether redirecting children with non-urgent conditions from crowded emergency departments to community healthcare appointments can reduce waiting times. Through program evaluation, stakeholder interviews, and simulation modelling, it demonstrates that carefully designed redirection programs could safely improve patient flow, reduce delays, and enhance care for children and families.

This research uses machine learning to predict trauma demand and optimise hospital scheduling. By forecasting patient volume and dynamically allocating operating rooms, it reduces cancellations, improves efficiency, and lowers costs. The system has the potential to transform healthcare delivery by balancing emergency and elective care more effectively.