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
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;
Conference_Titel :
Simulation Conference (WSC), 2014 Winter
Conference_Location :
Savanah, GA
Print_ISBN :
978-1-4799-7484-9
DOI :
10.1109/WSC.2014.7019985