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  1. 5 de ago. de 2019 · Arrival rates of ED patients is characterized by large daily, weekly and seasonal variations, along with a degree of inherent unpredictability [ 4 ], and large transient volumes of arriving patients (input) has been identified as a cause of crowding, along with delays in throughput and output [ 5 ].

  2. In 2001, Taboada et al. (113) modeled a hospital emergency department using a proxy-based approach, in which the changes in patient waiting time were shown under different patient arrival rates...

  3. 11 de mar. de 2020 · The auto-regressive integrated moving average can be used to provide hourly forecasts for emergency department arrivals and can be implemented as a decision support system to aid staff when scheduling and adjusting emergency department arrivals.

  4. The information in this guide was compiled from the experiences of the hospitals affiliated with Urgent Matters, a national program funded by the Robert Wood Johnson Foundation dedicated to finding, developing, and disseminating strategies to improve patient flow and reduce ED crowding.

  5. Emergency Triage and Treatment System (METTS), Adaptive Process Triage (ADAPT), and the Manchester Triage Scale (MTS).

  6. 1 de ago. de 2021 · The volume of daily patient arrivals at Emergency Departments (EDs) is unpredictable and is a significant reason of ED crowding in hospitals worldwide. Timely forecast of patients arriving at ED can help the hospital management in early planning and avoiding of overcrowding.

  7. 3 de dic. de 2020 · A large proportion of research regarding ED crowding has focused on LOS and patient arrival patterns [7–10]. Relevant influential factors associated with a more crowded ED or prolonged LOS can also be found in the literature [11–13].