Add to ORKGWaiting times are linked to risks for the patient and higher mortality rate. We propose a model to reduce waiting times in the ER by using the patient's previous history data from various heath services
Overcrowding in emergency departments continues to be a hot button issue in global healthcare especi...
In this paper, we apply both agent-based models and queuing models to investigate patient access and...
The development of predictive models in healthcare settings has been growing; one such area is the p...
Waiting times are linked to risks for the patient and higher mortality rate. We propose a model to r...
This thesis aims at providing a robust predictive model that accurately estimates the waiting time o...
Background: The current systems of reporting waiting time to patients in public emergency department...
Purpose: The purpose of this study is twofold: exploring new queue-based variables enabled by proces...
International audiencePredicting patient waiting times in public emergency department rooms (EDs) ha...
OBJECTIVE: Patients, families and community members would like emergency department wait time visibi...
Emergency Departments (EDs) can better manage activities and resources and anticipate overcrowding t...
Recent research has highlighted the need to improve patient satisfaction by reducing perceived waiti...
The Emergency Departments (ED) are a complex and important area of a hospital. With limited resource...
This research lays down foundations for a stronger presence of machine learning in the emergency dep...
International audienceEmergency department is a key component of the health system where the managem...
Problem definition: We study the estimation of the probability distribution of individual patient wa...
Overcrowding in emergency departments continues to be a hot button issue in global healthcare especi...
In this paper, we apply both agent-based models and queuing models to investigate patient access and...
The development of predictive models in healthcare settings has been growing; one such area is the p...
Waiting times are linked to risks for the patient and higher mortality rate. We propose a model to r...
This thesis aims at providing a robust predictive model that accurately estimates the waiting time o...
Background: The current systems of reporting waiting time to patients in public emergency department...
Purpose: The purpose of this study is twofold: exploring new queue-based variables enabled by proces...
International audiencePredicting patient waiting times in public emergency department rooms (EDs) ha...
OBJECTIVE: Patients, families and community members would like emergency department wait time visibi...
Emergency Departments (EDs) can better manage activities and resources and anticipate overcrowding t...
Recent research has highlighted the need to improve patient satisfaction by reducing perceived waiti...
The Emergency Departments (ED) are a complex and important area of a hospital. With limited resource...
This research lays down foundations for a stronger presence of machine learning in the emergency dep...
International audienceEmergency department is a key component of the health system where the managem...
Problem definition: We study the estimation of the probability distribution of individual patient wa...
Overcrowding in emergency departments continues to be a hot button issue in global healthcare especi...
In this paper, we apply both agent-based models and queuing models to investigate patient access and...
The development of predictive models in healthcare settings has been growing; one such area is the p...