Probus (United States)

Emergency department (ED) crowding is a world-wide issue. Preventing congestion in emergency healthcare has grown increasingly critical. Although many factors contribute to patient congestion in EDs, understaffing is undoubtedly most impactful. However, as staffing constitutes about 75% of emergency medicine expenditures, ED staffing allocation must match the demand for service and be as efficient as possible. In this paper, we utilized a formal method to determine optimal staffing levels and staff sharing in EDs. To accomplish this, we implemented colored stochastic timed Petri nets in CPN Tools to model ED patient flow. Resource sharing, resource requirements, and service duration are particular focuses. Average patient waiting time and optimal staffing levels are evaluated based on simulation.

THE ‘load carried’ by a nursehound Scyllium catulus is approximately 5 per cent in this fish, and fishes closely related to it ; only 95 per cent of the weight of the fish (in air) is supported by the water. In most teleosts (with swim-bladders), such as the conger, the load carried is about 0.01, or practically the whole of the weight is supported by the water1.