Paper Info
Title
Simulating wait time in healthcare: accounting for transition process variability using survival analyses.
Abstract
Wait or queuing time is a principal performance measure for many discrete-event simulation (DES) models in healthcare. However, variation in wait time is often caused by both occupied downstream servers (e.g., beds) and organizational and human transition processes. DES models that attribute wait solely to occupied servers, ignoring transition process variability, face challenges in adequate baseline validation. Embedding regression models for survival data in DES to estimate patient wait times is a method capable of integrating the effects of transition processes with queuing. Developing these models as a sub-component is further valuable in understanding the socio-technical system factors that drive prolonged waits. These general methods are exhibited in a DES for a large urban hospital with a primary output of wait time in the emergency department (ED) for transfer to an inpatient bed (boarding time). Simulated boarding time is compared before and after accounting for transition processes using survival analysis.
Year
DOI
Venue
2015
10.1109/WSC.2015.7408250
Winter Simulation Conference
Field
DocType
ISSN
Health care,Accounting,Survival data,Regression analysis,Computer science,Simulation,Emergency department,Server,Operations research,Queueing theory,Process variability
Conference
0891-7736
ISBN
Citations 
PageRank 
978-1-4673-9741-4
1
0.35
References 
Authors
1
2
Name
Order
Citations
PageRank
Scott R. Levin1133.90
Maxim Garifullin211.03