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.

Hospitals face growing workloads and staff burnout. This study tested simulation-based team training in hospital departments and found improved workplace culture and a 1% reduction in sick leave. Though small in percentage, this translated into nearly 10,000 working hours saved in one year, highlighting training as a powerful tool to support health care staff.