讲座预告|Improving Emergency Department Physician Staffing Using Predictive Models and Simulation

讲座地点：25-A区-511

讲座主题： Improving Emergency Department Physician Staffing Using Predictive Models and Simulation

主讲人： Dr.Kiatikun Louis Luangkesorn 匹兹堡大学

主讲人简介：

University of Pittsburgh – Department of Industrial Engineering Assistant Professor of Industrial Engineering, September 2016 – Present

PhD in Industrial Engineering from Northwestern University.

Taught classes and mentored projects in informatics, statistics, data science,data analysis, simulation, and modeling at the undergraduate and graduate level at University of Pittsburgh.

Book Chapter

Cummins, Mollie, Louis Luangkesorn, and Nancy Staggers, (2017) “Data Science and Analytics in Healthcare”, in Ramona Nelson and Nancy Staggers Health Informatics: An Interprofessional Approach, 2nd ed., Elsevier.

Academic Journals

Luangkesorn, K. L., G. Klein***, and B. Bidanda, (2016), Analysis of Production Systems with potential for severe disruptions. International Journal of Production Economics, special issue for the 22nd International Conference on Production Research, vol 171. pp. 478-486, doi:10.1016/j.ijpe.2015.09.014.

Luangkesorn, K. L., Z. Eren-Do？u*, (2016), Markov Chain Monte Carlo methods for estimating surgery duration. Journal of Statistical Computation and Simulation, Vol 86(2), doi:10.1080/00949655.2015.1004065

讲座摘要：

Urban emergency department (ED) demand is highly variable, with both seasonality and day to day variability. However, staffing and resource scheduling is usually done on an annual basis and maintained for the entire year. Hospitals can implement surge plans with additional providers to manage the high wait times that comes with high demand periods. To study the effectiveness of specific staffing and surge policies, we develop a detailed ED staff simulation that can track the ED patient population over time and be used to (1) evaluate ED staffing plans, and (2) provide the ED with a tool to effectively manage surge events.