Machine learning methods applied to triage in emergency services: A systematic review
R Sánchez-Salmerón, JL Gómez-Urquiza… - International Emergency …, 2022 - Elsevier
Background In emergency services is important to accurately assess and classify symptoms,
which may be improved with the help of technology. One mechanism that could help and …
which may be improved with the help of technology. One mechanism that could help and …
Using data mining to predict hospital admissions from the emergency department
Crowding within emergency departments (EDs) can have significant negative
consequences for patients. EDs therefore need to explore the use of innovative methods to …
consequences for patients. EDs therefore need to explore the use of innovative methods to …
Predicting hospital admission at the emergency department triage: A novel prediction model
Background Emergency department (ED) overcrowding is a growing international patient
safety issue. A major contributor to overcrowding is long wait times for inpatient hospital …
safety issue. A major contributor to overcrowding is long wait times for inpatient hospital …
Inpatient flow management: a systematic review
W Winasti, S Elkhuizen, L Berrevoets… - International journal of …, 2018 - emerald.com
Purpose In hospitals, several patient flows compete for access to shared resources. Failure
to manage these flows result in one or more disruptions within a hospital system. To ensure …
to manage these flows result in one or more disruptions within a hospital system. To ensure …
An integrated optimization and machine learning approach to predict the admission status of emergency patients
This work proposes a framework for optimizing machine learning algorithms. The practicality
of the framework is illustrated using an important case study from the healthcare domain …
of the framework is illustrated using an important case study from the healthcare domain …
Prediction of emergency department patient disposition decision for proactive resource allocation for admission
We investigate the capability of information from electronic health records of an emergency
department (ED) to predict patient disposition decisions for reducing “boarding” delays …
department (ED) to predict patient disposition decisions for reducing “boarding” delays …
A prescriptive analytics method for cost reduction in clinical decision making
Containing skyrocketing health care costs is imperative. Toward that end, prescriptive
analytics that analyzes health care data to recommend optimal decisions is both relevant …
analytics that analyzes health care data to recommend optimal decisions is both relevant …
Inpatient admission management using multiple criteria decision-making methods
M Chalgham, I Khatrouch, M Masmoudi… - Operations Research for …, 2019 - Elsevier
Emergency Department (ED) overcrowding is a public health issue associated with harmful
effects simultaneously on patients and ED staff. Despite increased policies and efforts to …
effects simultaneously on patients and ED staff. Despite increased policies and efforts to …
Managing inpatient bed setup: an action-research approach using lean technical practices and lean social practices
Purpose This article aims to introduce a guide to improving hospital bed setup by combining
lean technical practices (LTPs), such as kaizen and value stream mapping (VSM) and lean …
lean technical practices (LTPs), such as kaizen and value stream mapping (VSM) and lean …
Predicting admission at triage: are nurses better than a simple objective score?
A Cameron, AJ Ireland, GA McKay, A Stark… - Emergency medicine …, 2017 - emj.bmj.com
Aim We compared two methods of predicting hospital admission from ED triage:
probabilities estimated by triage nurses and probabilities calculated by the Glasgow …
probabilities estimated by triage nurses and probabilities calculated by the Glasgow …