Artificial intelligence and machine learning in emergency medicine
KJW Tang, CKE Ang, T Constantinides… - Biocybernetics and …, 2021 - Elsevier
Abstract The advent of Artificial Intelligence (AI) has resulted in development of novel
applications in a multitude of fields, such as in Medicine, to aid medical professionals in …
applications in a multitude of fields, such as in Medicine, to aid medical professionals in …
Delirium assessment in older people in emergency departments. A literature review
P Pérez-Ros, FM Martínez-Arnau - Diseases, 2019 - mdpi.com
Delirium is a neuropsychiatric syndrome often manifesting in acute disease conditions, and
with a greater prevalence in the older generation. Delirium in the Emergency Department …
with a greater prevalence in the older generation. Delirium in the Emergency Department …
Impact of primary to secondary care data sharing on care quality in NHS England hospitals
Health information exchange (HIE) is seen as a key component of effective care but remains
poorly evidenced at a health system level. In the UK National Health Service (NHS), the …
poorly evidenced at a health system level. In the UK National Health Service (NHS), the …
Predicting hospital emergency department visits with deep learning approaches
Overcrowding in emergency department (ED) causes lengthy waiting times, reduces
adequate emergency care and increases rate of mortality. Accurate prediction of daily ED …
adequate emergency care and increases rate of mortality. Accurate prediction of daily ED …
Prediction of length of stay in the emergency department for COVID-19 patients: A machine learning approach
The coronavirus disease (COVID-19) outbreak has become a global public health threat.
The influx of COVID-19 patients has prolonged the length of stay (LOS) in the emergency …
The influx of COVID-19 patients has prolonged the length of stay (LOS) in the emergency …
Normal high-sensitivity cardiac troponin for ruling-out inpatient mortality in acute COVID-19
Introduction Assessment of inpatient mortality risk in COVID-19 patients is important for
guiding clinical decision-making. High sensitivity cardiac troponin T (hs-cTnT) is a biomarker …
guiding clinical decision-making. High sensitivity cardiac troponin T (hs-cTnT) is a biomarker …
In-vitro diagnostic point-of-care tests in paediatric ambulatory care: A systematic review and meta-analysis
O Van Hecke, M Raymond, JJ Lee, P Turner… - PLoS …, 2020 - journals.plos.org
Introduction Paediatric consultations form a significant proportion of all consultations in
ambulatory care. Point-of-care tests (POCTs) may offer a potential solution to improve …
ambulatory care. Point-of-care tests (POCTs) may offer a potential solution to improve …
Initial Development of a Patient Reported Experience Measure for Older Adults Attending the Emergency Department: Part I—Interviews with Service Users
Older adults are a major Emergency Department (ED) user group who may be especially
vulnerable to the consequences of crowding and sub-optimal care. Patient experience is a …
vulnerable to the consequences of crowding and sub-optimal care. Patient experience is a …
A novel scheduling method for reduction of both waiting time and travel time of patients to visit health care units in the case of mobile communication
This paper proposes a new scheduling problem for patient visits with two objectives:
minimizing patient waiting time and travel time. It also presents a novel encoding method for …
minimizing patient waiting time and travel time. It also presents a novel encoding method for …
Evaluation of outcome relevance of quality indicators in the emergency department (ENQuIRE): study protocol for a prospective multicentre cohort study
S Drynda, W Schindler, A Slagman, J Pollmanns… - BMJ open, 2020 - bmjopen.bmj.com
Introduction Quality of emergency department (ED) care affects patient outcomes
substantially. Quality indicators (QIs) for ED care are a major challenge due to the …
substantially. Quality indicators (QIs) for ED care are a major challenge due to the …