| Abstract: | Emergency care necessitates adequate and timely treatment, which has unfortunately been compromised by crowding in many emergency departments (EDs). To address this issue, we study patient scheduling in EDs so that mandatory targets imposed on each patient’s door-to-provider time and length of stay can be collectively met with the largest probability. Exploiting patient flow data from the ED, we propose a hybrid robust–stochastic approach to formulate the patient scheduling problem, which allows for practical features such as a time-varying patient arrival process, general consultation time distributions, and multiple heterogeneous physicians. |
| Date: | 17 May 2016 |
| Time: | 4:30pm - 5:30pm |
| Speaker: | Dr Meilin Zhang |
| Venue: | Room 7-208, 7/F, Academic 3 |
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