Paper Info
Title
Complexity-Augmented Triage: A Tool for Improving Patient Safety and Operational Efficiency
Abstract
Hospital emergency departments (EDs) typically use triage systems that classify and prioritize patients almost exclusively in terms of their need for timely care. Using a combination of analytic and simulation models, we demonstrate that adding an up-front estimate of patient complexity to conventional urgency-based classification can substantially improve both patient safety (by reducing the risk of adverse events) and operational efficiency (by shortening the average length of stay). Moreover, we find that EDs with high resource (physician and/or examination room) utilization, high heterogeneity in the treatment time between simple and complex patients, and a relatively equal number of simple and complex patients benefit most from complexity-augmented triage. Finally, we find that (1) although misclassification of a complex patient as simple is slightly more harmful than vice versa, complexity-augmented triage is relatively robust to misclassification error rates as high as 25%; (2) streaming patients based on complexity information and prioritizing them based on urgency is better than doing the reverse; and (3) separating simple and complex patients via streaming facilitates the application of lean methods that can further amplify the benefit of complexity-augmented triage.
Year
DOI
Venue
2014
10.1287/msom.2014.0487
Manufacturing & Service Operations Management
Keywords
Field
DocType
priority queues,markov decision processes
Economics,Patient safety,Emergency department,EXAMINATION ROOM,Markov decision process,Priority queue,Triage,Operational efficiency,Operations management
Journal
Volume
Issue
ISSN
16
3
1523-4614
Citations 
PageRank 
References 
14
0.57
15
Authors
5
Name
Order
Citations
PageRank
Soroush Saghafian1796.69
Wallace J. Hopp225626.07
Mark P. Van Oyen323419.02
Jeffrey S. Desmond4361.53
Steven L. Kronick5361.53