Title
A simulation tool to support recovery bed planning for surgical patients
Abstract
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.
Year
DOI
Venue
2011
10.1109/WSC.2011.6147854
Winter Simulation Conference
Keywords
Field
DocType
patient volume,planning process,patient length,utilization level,simulation tool,patient service level,high service level,icu utilization level,recovery bed planning,model account,patient mix,high level,surgical patient,synthetic aperture sonar,planning,radio access network,simulation model,service level,surgery,decision maker,cardiovascular system,quality of service,capacity utilization
Bed capacity,Service level,Simulation,Computer science,Quality of service,Planning process,Patient care,Surgery scheduling,Synthetic aperture sonar
Conference
ISSN
ISBN
Citations 
0891-7736
978-1-4799-2077-8
1
PageRank 
References 
Authors
0.39
2
5
Name
Order
Citations
PageRank
Yariv N. Marmor1235.71
Thomas Rohleder2192.19
Todd R. Huschka3996.92
David J. Cook420.77
Jeffrey E. Thompson510.39