BMC Health Serv Res
August 2023
Background: Hospitals play a crucial role in responding to disasters and public health emergencies. However, they are also vulnerable to threats such as fire or flooding and can fail to respond or evacuate adequately due to unpreparedness and lack of evacuation measures. The United Nations Office for Disaster Risk Reduction has emphasised the importance of partnerships and capacity building in disaster response.
View Article and Find Full Text PDFBackground: Machine learning (ML) is an emerging tool for predicting need of end-of-life discussion and palliative care, by using mortality as a proxy. But deaths, unforeseen by emergency physicians at time of the emergency department (ED) visit, might have a weaker association with the ED visit.
Objectives: To develop an ML algorithm that predicts unsurprising deaths within 30 days after ED discharge.
The management of emergencies consists of a chain of actions with the support of staff, stuff, structure, and system, i.e., surge capacity.
View Article and Find Full Text PDFBackground: The decision to admit into the hospital from the emergency department (ED) is considered to be important and challenging. The aim was to assess whether previously published results suggesting an association between hospital bed occupancy and likelihood of hospital admission from the ED can be reproduced in a different study population.
Methods: A retrospective cohort study of attendances at two Swedish EDs in 2015 was performed.
Emergency department (ED) overcrowding is caused by external and/or internal factors. One critical internal factor, leading to longer length of stay (LOS) at ED (eg, frequent ED users), is the physician's uncertainty in management of patients with unclear diagnosis and or complex medical history. The aim of this study was to identify whether the causes of physicians' uncertainty was practical, patient-centred, medical, or cultural.
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