Date/Time
Date(s) - April 14, 2023
10:40 am - 11:30 am
Categories No Categories
Serhan Ziya
Date : Friday, April 14, 2023
Mode : Virtual (Join Meeting)
Affiliation: University of North Carolina at Chapel Hill
Bio: Visit Page
Title: Using Hospital Admission Predictions at Triage for Improving Patient Length-of-Stay in Emergency Departments
Abstract: Long boarding times have long been recognized as one of the main reasons behind emergency department (ED) crowding. One of the suggestions made in the literature to reduce boarding times was to predict, at the time of triage, whether or not a patient will eventually be admitted to the hospital, and if the prediction turns out to be “admit,” start preparations for the patient’s transfer to the main hospital early in the ED visit. In this talk, we develop a methodology, using logistic regression, Markov decision processes, and queueing theory, that can be utilized for deciding when to request beds early for the patients and investigate the potential benefits of this methodology via a simulation model of an actual ED.
BIO: Serhan Ziya is a professor in the Department of Statistics and Operations Research at the University of North Carolina. He holds a BS degree in Industrial Engineering (1997) from Bogazici University, Istanbul, Turkey and MS and Ph.D. degrees in Industrial and Systems Engineering (1999, 2003) from Georgia Institute of Technology. His research interests are in service operations, with a focus on healthcare operations, queueing systems, revenue management, and pricing.