A Data-Driven Model of an Emergency Department, Appendix: Additional Details
نویسندگان
چکیده
Armony et al. (2015) carried out an extensive exploratory data analysis of the patient flow through the Rambam Hospital in Israel from a queueing science perspective. In addition, they made a large portion of the data publicly available. We respond by using a portion of that data to analyze the Emergency Department (ED). Our analysis confirms the previous conclusions about the time-varying arrival rate and its consequences, but we also find that the admission probability and the patient length-of-stay distribution should be time varying as well. Our analysis culminates in a new time-varying infinite-server aggregate stochastic model of the ED, where both the length-of-stay distribution and the arrival rate are periodic over a week. Our analysis provides new insights into the arrival, length-of-stay, occupancy and departure processes of this complex system as well as new statistical methods for analyzing ED data.
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