In current healthcare systems, there are still many limitations in the management of entire medical process cycle, particularly in the coordination and connection of the three stages: pre-hospital screening and prevention, in-hospital diagnosis and treatment, and post-hospital rehabilitation and health management. In this report, we aim to optimize the healthcare delivery process using AI-based algorithms from a whole-cycle perspective. By characterising the process flow and changes in patients status throughout the entire cycle, we consider optimal management of work flow, medical resources, and comprehensive coverage of healthcare delivery from prevention, treatment to rehabilitation, thereby truly enhancing the quality of healthcare services for the entire population across their life cycle.
Dr. Jingshan Li is the Head and Gavriel Salvendy Chair Professor in Department of Industrial Engineering, Tsinghua University, Beijing, China. He received BS, MS, and PhD degrees from Tsinghua University, Chinese Academy of Sciences, and University of Michigan-Ann Arbor, in 1989, 1992 and 2000, respectively. Before joining Tsinghua University in 2021, he was with General Motors R&D Center, University of Kentucky, and University of Wisconsin-Madison. Dr. Li has published 2 textbooks, 7 book volumes, and close to 300 refereed journal articles, book chapters, and conference proceedings. He has been the Department Editor of IISE Transactions and Flexible Service and Manufacturing Journal, the Senior Editor of IEEE Transactions on Automation Science and Engineering and IEEE Robotics and Automation Letter, Associate Editor of International Journal of Production Research, etc. He was the Editor-in-Chief of IEEE International Conference on Automation Science and Engineering, and the Chairs of many flagship conferences. He has been the Chairs of IEEE Technical Committees on Sustainable Production Automation, and Healthcare Management Automation. Dr. Li is an IEEE Fellow, IISE Fellow, and IEEE Distinguished Lecturer in robotics and automation. He received NSF CAREER Award, IEEE Robotics and Automation Early Career Award, and multiple Best Paper Awards from flagship journals and conferences. His primary research interests are in design, analysis, and control of production and healthcare systems.
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