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Forecast Driven Simulation Model for Service Quality Improvement of the Emergency Department in the Moses H. Cone Memorial Hospital  

Park, Eui-H. (Department of Industrial and Systems Engineering, NC A&T State University)
Park, Jin-Suh (Department of Industrial and Systems Engineering, NC A&T State University)
Ntuen, Celestine (Department of Industrial and Systems Engineering, NC A&T State University)
Kim, Dae-Beom (Department of Industrial Systems and Information Engineering, Kangnam University)
Johnson, Kendall (Quality Improvement Team, Moses Cone Memorial Hospital)
Publication Information
International Journal of Quality Innovation / v.9, no.3, 2008 , pp. 1-14 More about this Journal
Abstract
Patient satisfaction with the Emergency Department(ED) in a hospital is related to the length of stay, and especially to the amount of waiting time for medical treatments. ED overcrowding decreases quality and efficiency, therefore affecting hospitals' profitability. This paper presents a forecasting and simulation model for resource management of the ED at Moses H. Cone Memorial Hospital. A linear regression forecasting model is proposed to predict the number of ED patient arrivals, and then a simulation model is provided to estimate the length of stay of ED patients, system throughput, and the utilization of resources such as triage nurses, patient beds, registered nurses, and medical doctors. The near future load level of each resource is presented using the proposed models.
Keywords
Service Quality; Emergency Department; Forecast; Resource Management; Simulation Model;
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