讲座题目：Data analytics and optimization for hospital emergency department operations
主讲人：Yong-Hong KUO, Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong
线上腾讯会议：946 6600 1388
主持人：深圳大学管理学院 马利军 教授
Hospital emergency department (ED) overcrowding is a severe and longstanding issue confronting many countries and cities around the world. Ideally, EDs are established to provide immediate medical care to critically ill or severely injured patients. Thus, timeliness and efficiency are their core attributes. However, due to various causes of overcrowding, it is challenging for EDs to guarantee the provision of timely medical care for patients. In this talk, I will present a collaborative project with an ED in Hong Kong on improving their patient flows and system efficiency. Machine learning models have been applied to provide real-time and personalized patient waiting times. A simulation model that captures all complicating factors in reality (e.g., time and category-dependent arrival rates of patients, multiple shift-times of doctors and re-entrant flows to the many “service stations” of the system) has been developed to examine possible solutions that could relieve the overcrowding situation. I will discuss the challenge that several key types of data were unavailable such that the stochastic components in the system could not be directly estimated. Computational results show that our simulation model can produce results consistent with the actual observations. Simulation optimization approaches have been developed to determine resource allocation decisions in the ED. I will also discuss some insights, derived from the simulation results, into managing ED operations.
Yong-Hong Kuo is Assistant Professor in the Department of Industrial and Manufacturing Systems Engineering, the University of Hong Kong. He earned his B.Sc. in Mathematics and M.Phil. and Ph.D. in Systems Engineering and Engineering Management, from the Chinese University of Hong Kong. During the period, he also worked at the University of California at Berkeley and Oak Ridge National Laboratory as Visiting Researcher. Prior to joining HKU, he was Research Assistant Professor at Stanley Ho Big Data Decision Analytics Research Centre, the Chinese University of Hong Kong.
His research, with his role as Principal Investigator, has been supported by a number of funding agencies, including Hong Kong Research Grants Council, Health and Medical Research Fund, and Microsoft Research Asia. His publications have appeared in journals including Production and Operations Management, IIE Transactions, Decision Support Systems, and Transportation Research Part A/B/C/E. He has served the Operational Research Society of Hong Kong as Vice-President, on the Editorial Boards of Decision Sciences Journal and Transportation Research Part E, and as Managing Guest Editor for several academic journals.