Abstract
AbstractEmergency departments (EDs) have faced with high patient demand during peak hours in comparison to the other departments of hospitals because of their complexity and uncertainty. Therefore prolonged waiting times in EDs have caused the dissatisfaction on patients. Patient length of stay (LOS), also known as patient throughput time, is generally considered to be the length of time that passes from the patient’s time of arrival at the ED until time of discharge or transfer to another department of the hospital. Starting from patient admissions to the EDs it becomes important have to be known the overall LOS in terms of right resource allocation and efficient utilization of the department. For this purpose this paper aims to forecast patient LOS using Artificial Neural Network (ANN) within the input factors that are predictive such as patient age, sex, mode of arrival, treatment unit, medical tests and inspection in the ED. The method can be used to provide insights to ED medical staff (doctors, nurses etc.) determining patient LOS.
Highlights
Emergency Departments (EDs) are the busiest departments in a hospital and its main purpose is to provide timely emergency care to patients [1,2]
Prolonged waiting times have been a major cause of ED overcrowding, that is a main reason of supply– demand mismatch [1]
El-Sharo [7] reveals several reasons that cause to increase long waiting times in emergency departments. These reasons include the inefficient utilization of ED resources, miscommunication between ED staff to ensure the smoothness of flow of patients in or out of the emergency department, delays in admitting patients from the emergency department, inefficient resource allocation in the hospital, and other external factors, such as an increase in demand of patients due to a reduction in the number primary care physicians in the neighboring area of the emergency department
Summary
Emergency Departments (EDs) are the busiest departments in a hospital and its main purpose is to provide timely emergency care to patients [1,2]. Some indicators that emergency departments use to evaluate their operations and service quality are Forecasting ED patient LOS by ANNs average waiting time, average LOS, ED productivity, resource utilization and layout efficiency [4,5]. El-Sharo [7] reveals several reasons that cause to increase long waiting times in emergency departments These reasons include the inefficient utilization of ED resources, miscommunication between ED staff to ensure the smoothness of flow of patients in or out of the emergency department, delays in admitting patients from the emergency department, inefficient resource allocation in the hospital, and other external factors, such as an increase in demand of patients due to a reduction in the number primary care physicians in the neighboring area of the emergency department.
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