DocumentCode
239212
Title
Modeling the effect of shorter shelf life of red blood cells on blood supplies
Author
Dumkrieger, Gina ; Huschka, Todd R. ; Stubbs, James R.
Author_Institution
ASU, Tempe, AZ, USA
fYear
2014
fDate
7-10 Dec. 2014
Firstpage
1293
Lastpage
1304
Abstract
In this paper we use simulation to evaluate the effect of shorter red cell shelf life on blood supplies at the Mayo Clinic and compare these results to previous work. Results show that a reduced maximum shelf life of 28 days is supportable under current conditions but that a maximum shelf life of 21 days or less will likely result in unacceptably high outdating rates or unmet patient demand. We also compare the result of discrete event simulation to those of a simple Excel-based simulation and find that the Excel-based simulation predicts a smaller increase in outdating rate in the same scenarios.
Keywords
biomedical engineering; blood; cellular biophysics; discrete event simulation; medical computing; spreadsheet programs; supply and demand; Excel-based simulation; Mayo Clinic; blood supply; discrete event simulation; maximum shelf life reduction; outdating rate; patient demand; red blood cell shelf life effect; red blood cell shelf life modeling; short shelf life effect; time 21 day; time 28 day; Hospitals; Measurement; Pediatrics; Predictive models; Red blood cells; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference (WSC), 2014 Winter
Conference_Location
Savanah, GA
Print_ISBN
978-1-4799-7484-9
Type
conf
DOI
10.1109/WSC.2014.7019985
Filename
7019985
Link To Document