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[07/07]Improvability Theory for Hospital Emergency Department: A System-Theoretic Approach to

讲座题目Improvability Theory for Hospital Emergency Department: A System-Theoretic Approach to Reduce Crowding

报告人Dr. Jingshan Li

时 间77日(周四)下午2:30-4:00
地 点:方正大厦608会议室


Hospital emergency departments (ED) across the US are overcrowded. The number of EDs is decreasing, while patient volume is rising. Overcrowding not only results in delayed treatment, long patient waiting time and stay, overburdened working staff, patient elopement and low throughput, it also leads to many other problems, such as medical errors due to overloading, high turnover, diverting of ambulances, etc. In addition, overcrowding also has a significant financial implication. Therefore, analyzing the patient flow in ED to minimize length of stay, improve efficiency and reduce crowding is necessary and important.
    This talk is devoted to introducing an analytical framework for ED modeling and analysis to improve its efficiency and reduce crowding. In parallel to production systems, we intend to develop an improvability theory for ED operations. Specifically, a system-theoretic approach is proposed to evaluate ED performance in terms of patient outcomes, identify system bottlenecks and redistributing limited resources optimally, and determine optimal workforce configuration and resource allocation to achieve desired performance.
    In addition, this talk will briefly introduce the preliminary results on analyzing care delivery services within the patient rooms, where the patients receive most of the services and spend most of their length of stay. A Markov chain model is introduced to evaluate the patient length of stay and staff utilization with multiple re-entrant care services under limited resources.


Dr. Jingshan Li is an Associate Professor in Department of Industrial and Systems Engineering in University of Wisconsin at Madison. He was an Assistant Professor in Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY from 2006 to 2010, and a Staff Researcher in Manufacturing Systems Research Lab, General Motors Research & Development Center, Warren, MI from 2000 to 2006. He received BS from Dept. of Automation, Tsinghua University, Beijing, China, and MS from Institute of Automation, Chinese Academy of Sciences, Beijing, China, and PhD in Electrical Engineering – Systems, University of Michigan, Ann Arbor, MI in 1989, 1992 and 2000, respectively.
    Dr. Li is the co-author of the textbook Production Systems Engineering (Springer, 2009), and he co-edited the book Advances in Systems Theory: Control, Communication Networks, Production Systems and Rational Behavior (WingSpan Press, 2009). Up-to-date, he has published more than 40 refereed journal articles, 4 book chapters and 60 conference proceedings. He is the Department Editor of IIE Transactions – Design and Manufacturing, Lead Guest Editor of several special issues in IEEE Transactions on Automation Science and Engineering and IIE Transactions. He was the Associate Editor of IEEE Transactions on Automation Science and Engineering and Mathematical Problems in Engineering.
    He received NSF CAREER Award (2010-2015), the 2009 IIE Transactions Best Application Paper Award – Design and Manufacturing, 2005 IEEE Transactions on Automation Science and Engineering Best Paper Award, 2006 IEEE Early Industry/Government Career Award in Robotics and Automation, and he was also in the Finalists of Best Paper Award of 2009 IEEE Conference on Automation Science and Engineering and Best Automation Paper Award of 2005 IEEE International Conference on Robotics and Automation. His papers on simulations of emergency department and financial analysis of outpatient radiology division were among the “Top 25 Hottest Articles in Journal of Emergency Nursing,” July-September, 2010, and the top downloads in 30 days in “Journal of Medical Systems,” respectively.
    His primary research interests are in design, analysis and control of production and health care systems. His research has been supported by NSF, General Motors, Central Baptist Hospital, University of Kentucky Hospital, DOE, UKRF, SME, and WARF.