TY - GEN
T1 - Analysis of hospital rapid response protocols using simulation
AU - Wang, Shuli
AU - Holloway, L. E.
AU - Depriest, Paul
AU - Swartz, Colleen H.
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - Many hospitals in the United States are implementing a rapid response system (RRS) within their inpatient units to provide prompt assessment and intervention to the patient's bedside in an attempt to avoid further clinical deterioration in the non-intensive care unit. In this paper, based on analyzing the rapid response system in the University of Kentucky Chandler Hospital, we present a simulation model with some assumptions to model the patient flow and the clinician's diagnosis process. Using such a model, we analyze the influences of clinicians' competence level and the average length of patients' waiting time on the patient average length of stay and the distributions of the care levels received by patients in the system. Specific recommendations are made based on this study.
AB - Many hospitals in the United States are implementing a rapid response system (RRS) within their inpatient units to provide prompt assessment and intervention to the patient's bedside in an attempt to avoid further clinical deterioration in the non-intensive care unit. In this paper, based on analyzing the rapid response system in the University of Kentucky Chandler Hospital, we present a simulation model with some assumptions to model the patient flow and the clinician's diagnosis process. Using such a model, we analyze the influences of clinicians' competence level and the average length of patients' waiting time on the patient average length of stay and the distributions of the care levels received by patients in the system. Specific recommendations are made based on this study.
KW - Rapid response system
KW - rapid response team
KW - sensitivity analysis
KW - simulation modeling
UR - http://www.scopus.com/inward/record.url?scp=84872523745&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84872523745&partnerID=8YFLogxK
U2 - 10.1109/CoASE.2012.6386403
DO - 10.1109/CoASE.2012.6386403
M3 - Conference contribution
AN - SCOPUS:84872523745
SN - 9781467304283
T3 - IEEE International Conference on Automation Science and Engineering
SP - 315
EP - 322
BT - 2012 IEEE International Conference on Automation Science and Engineering
T2 - 2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012
Y2 - 20 August 2012 through 24 August 2012
ER -