Results 31 to 40 of about 4,390,126 (313)

Emergency department crowding: A systematic review of causes, consequences and solutions

open access: yesPLoS ONE, 2018
Background Emergency department crowding is a major global healthcare issue. There is much debate as to the causes of the phenomenon, leading to difficulties in developing successful, targeted solutions.
C. Morley   +4 more
semanticscholar   +1 more source

Emergency department triage prediction of clinical outcomes using machine learning models

open access: yesCritical Care, 2019
BackgroundDevelopment of emergency department (ED) triage systems that accurately differentiate and prioritize critically ill from stable patients remains challenging.
Y. Raita   +5 more
semanticscholar   +1 more source

CLUE: COVID‐19 lung ultrasound in emergency department

open access: yesEmergency Medicine Australasia, 2020
Lung ultrasound (LUS) plays a critical role in the SARS‐CoV‐2 pandemic. Evidence is mounting on its utility to diagnose, assess the severity and as a triage tool in the ED.
Vijay Manivel   +4 more
semanticscholar   +1 more source

Analysis of Childhood Mortality in Emergency Department

open access: yesHaseki Tıp Bülteni, 2019
Aim:The aim of the present study was to analyze the mortality rate, demographic characteristics and cause of death in pediatric patients who were referred to our emergency department.Methods:Patients aged 0-18 years with or without arrest within 24 hours
Serkan Doğan   +5 more
doaj   +1 more source

Experience of a tutor centric model for sonography training of emergency department registrars in an Australian urban emergency department 2009–2012 [PDF]

open access: yes, 2015
Purpose: To assess the impact of a regular sonographer proctored training program for emergency medicine trainees in the use of Emergency Department bedside ultrasound Methods: Emergency Department (ED) Registrars in the Swan District Hospital ED were ...
Fear, Mark   +2 more
core   +2 more sources

Ultrasound by emergency physicians to detect abdominal aortic aneurysms: a UK case series [PDF]

open access: yes, 2004
Early identification of abdominal aortic aneurysms in some patients can be difficult and the diagnosis is missed in up to 30% of patients. Ultrasound cannot be used to identify a leak, but the presence of an aneurysm in an unstable patient is ...
Brenchley, J.   +4 more
core   +2 more sources

COMPARATIVE ANALYSIS OF THE EP`S ACTIVITIES AT THE PRE-HOSPITAL AND HOSPITAL STAGES

open access: yesУчёные записки Санкт-Петербургского государственного медицинского университета им. Акад. И.П. Павлова, 2019
Emergency medical education is becoming increasingly challenging as a result of shifting the workplace of emergency physician from ambulance to Emergency Department.
V. M. Teplov   +4 more
doaj   +1 more source

Optimizing Emergency Department Throughput Using Best Practices to Improve Patient Flow [PDF]

open access: yes, 2017
Emergency Department (ED) crowding and bottle necks are the reality of hospitals across the country. Patients seeking care and needing inpatient beds via the emergency rooms are facing delays with attaining the right level of care.
Freibott, Puneet, DNP, RN, NEA-BC, CCRN-K\u27S
core   +1 more source

Machine Learning–Based Prediction of Clinical Outcomes for Children During Emergency Department Triage

open access: yesJAMA Network Open, 2019
Key Points Question Do machine learning approaches improve the ability to predict clinical outcomes and disposition of children at emergency department triage?
T. Goto   +4 more
semanticscholar   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

open access: yesMolecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes   +20 more
wiley   +1 more source

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