Models and Insights for Hospital Inpatient Flow Management


Department of Systems Engineering and Engineering Management
The Chinese University of Hong Kong

Title: Models and Insights for Hospital Inpatient Flow Management
Speaker: Pengyi Shi,
Krannert School of Management, Purdue University
Date: August 1, 2014 (Friday)
Time: 11:00 AM to 12:00 PM
Venue: Room 513
       William M.W. Mong Engineering Building (ERB)
       (Engineering Building Complex Phase 2)
       The Chinese University of Hong Kong.

Short Biography of the speaker:
Penguin Shi joined Purdue University as an assistant professor in January 2014. She received her Ph.D. Degree from Georgia Institute of Technology before joining Purdue. Her research interests include healthcare operations and stochastic modeling, with a focus on hospital patient flow management. She has collaborations with practitioners and faculty members from different healthcare organizations, including major hospitals in the US and Singapore.
Emergency department (ED) overcrowding negatively impacts patient safety and public health, and hence, has become one of the most challenging problems facing healthcare delivery systems worldwide. It is well known that prolonged waiting time for admission to inpatient beds, i.e., ED boarding, is a key contributor to ED overcrowding. Our research aims on gaining insights into effective inpatient flow management to reduce this waiting time, and eventually, to reduce ED overcrowding. In this talk, I will first introduce a new class of stochastic network models that are built based on an extensive empirical study and can capture the empirical time-varying waiting time performance. One important feature of these models is that the service times are no longer exogenous, iid random variables. Then, I will introduce a two-time-scale framework to analyze these models. These analyses help us identify operational policies such as inpatient discharge timing that can reduce ED boarding and eliminate the excessively long waiting times for patients requesting beds in the morning. This talk is based on joint works with Jim Dai at Cornell University.
                      Everyone is invited to attend the talk.
The talk will be hosted by:
       Prof. Xuefeng Gao,
       Department of Systems Engineering and Engineering Management,
       The Chinese University of Hong Kong,
       Telephone Number: (852) 3943-8242
For general enquiries, please contact the student coordinator:
       Andy Chung,
       Department of Systems Engineering and Engineering Management,
       The Chinese University of Hong Kong,
SEEM-5202 Website:
Friday, August 1, 2014 - 03:00 to 04:00