TY - GEN
T1 - A simulation tool to support recovery bed planning for surgical patients
AU - Marmor, Yariv N.
AU - Rohleder, Thomas R.
AU - Huschka, Todd
AU - Cook, David
AU - Thompson, Jeffrey
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - The cardiovascular (CV) surgery department at Mayo Clinic is planning recovery bed (ICU and step down) needs for the next 10 years. While the current practice focuses on high service level (60% ICU utilization level), e.g., zero surgery cancelation, no shared rooms and no early discharges due to overloading; expected increasing patient volumes will require high level (system) planning in order to maintain the same level of care. A simulation model was developed to support quantitative decision making for the planning process. The model accounts for variability due to surgery scheduling (with seasonal effects), patient mix (with different growth rates), and patient length of stay (both in the ICU and the step-down unit). The model provides decision makers with a means to understand the relationship between patient service level and bed capacity/utilization level. It also provides a tool to evaluate the effects of proposed clinical and process improvements.
AB - The cardiovascular (CV) surgery department at Mayo Clinic is planning recovery bed (ICU and step down) needs for the next 10 years. While the current practice focuses on high service level (60% ICU utilization level), e.g., zero surgery cancelation, no shared rooms and no early discharges due to overloading; expected increasing patient volumes will require high level (system) planning in order to maintain the same level of care. A simulation model was developed to support quantitative decision making for the planning process. The model accounts for variability due to surgery scheduling (with seasonal effects), patient mix (with different growth rates), and patient length of stay (both in the ICU and the step-down unit). The model provides decision makers with a means to understand the relationship between patient service level and bed capacity/utilization level. It also provides a tool to evaluate the effects of proposed clinical and process improvements.
UR - http://www.scopus.com/inward/record.url?scp=84863421462&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863421462&partnerID=8YFLogxK
U2 - 10.1109/WSC.2011.6147854
DO - 10.1109/WSC.2011.6147854
M3 - Conference contribution
AN - SCOPUS:84863421462
SN - 9781457721083
T3 - Proceedings - Winter Simulation Conference
SP - 1333
EP - 1339
BT - Proceedings of the 2011 Winter Simulation Conference, WSC 2011
T2 - 2011 Winter Simulation Conference, WSC 2011
Y2 - 11 December 2011 through 14 December 2011
ER -