Paper Info
Title
An Intelligent Scheduling of Non-Critical Patients Admission for Emergency Department
Abstract
The combination of the progressive growth of an aging population, increased life expectancy and a greater number of chronic diseases all contribute significantly to the growing demand for emergency medical care, and thus, causing saturation in Emergency Departments (EDs). This saturation is usually due to the admission of non-urgent patients, who constitute a high percentage of patients in an ED. The Agent-based Model (ABM) is one of the most important tools that helps to study complex systems and explores the emergent behavior of this type of department. Its simulation more accurately reflects the complexity of the operation of real systems. Our proposal is the design of an ABM to schedule the access of these non-critical patients into an ED, which can be useful for the service management dealing with the actual growing demand for emergency care. We suppose that a relocation of these non-critical patients within the expected input pattern, provided initially by historical records, enables a reduction in waiting time for all patients, and therefore, it will lead to an improvement in the quality of service. It would also allow us to avoid long waiting times. This research offers the availability of relevant knowledge for Emergency Department managers in order to help them make decisions to improve the quality of the service, in anticipation of the expected growing demand of the service in the very near future.
Year
DOI
Venue
2020
10.1109/ACCESS.2019.2963049
IEEE ACCESS
Keywords
DocType
Volume
Agent-based modeling and simulation (ABMS),Emergency Department (ED),response capacity,decision support systems (SDS),length of stay (LoS)
Journal
8
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
eva bruballa111.37
Alvaro Wong2378.11
Dolores Rexachs319543.20
Emilio Luque41097176.18