This book aims to stay one step beyond the innovations of information and communication technologies and smart healthcare management and provides an overview of the risks smart healthcare management could help to alleviate, and those risks it would create or amplify. Inclusive discussions of the core of smart healthcare services in the perspective of system engineering are enclosed, such as smart healthcare definition, data information knowledge service, and intelligent hospital management. Summaries of technological and theoretical innovations spanning each step of the modern healthcare system are included, from health screening, clinical diagnosis, cancer screening, to in-hospital mortality monitoring, minimally invasive surgeries, and medical data storages. Analytics of risks reduced and induced by these innovations are provided, with potential solutions to such risks in healthcare management discussed. This book seeks to provide demonstrative examples of incidence capable innovations of healthcare technologies, which, while greatly enhancing abilities of healthcare workers and institutions, could pose risks to patients and sometimes even greater threats to the integrity of the healthcare system. The style of the book is intended to be demonstrative but most suited for researchers and graduate students, explaining the methodology behind healthcare innovations, with some citations and some deep scholarly reference.

Provides a comprehensive analysis of the engineering and risks of smart healthcare systems across whole cycle of care Illustrates the processes of smart healthcare engineering from the perspective of system engineering Identifies risks of smart healthcare components

Autorentext

Shuai Ding is currently Professor with the School of Management, Hefei University of Technology. He received the Ph.D. degree in management information systems from Hefei University of Technology, Hefei, China, in 2011. He is currently Professor with the School of Management, Hefei University of Technology. He has been Visiting Scholar with the University of Pittsburgh, Pittsburgh, PA, USA. His primary research interests include medical data mining, artificial intelligence, and automatic diagnosis system. He has authored/coauthored more than 40 scientific articles at various top venues, including IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Transactions on Fuzzy Systems, and IEEE Journal of Biomedical and Health Informatics. Prof. Ding has served as a reviewer for various journals and conferences. Desheng Wu is a Distinguished Professor with the Economics and Management School, University of Chinese Academy of Sciences, Beijing, China; Dean for B&R College, UCAS. He has published over 180 ISI-indexed papers in refereed journals, such as Production and Operations Management, Decision Sciences, Risk Analysis, and the IEEE Transactions on Systems, Man, and Cybernetics, and seven books at Springer. His current research interests include mathematical modeling of systems containing uncertain and risky situations, with special interests in the finance-economics operations interface, maximizing operational and financial goals using the methodologies for game theory, and large-scale optimization.,Prof. Wu was a recipient of the ten big impact articles in the Journal of the Operational Research Society, the Elsevier Most Cited Researcher, the Top 25 Hottest Article in Elsevier Journals, and the Best Paper Award Most Cited Articles in Human and Ecological Risk Assessment. He has served as an Associate Editor and a Guest Editor for several journals, such as Risk Analysis, the IEEE Transactions on Systems, Man, and Cybernetics: Systems, Annals of Operations Research, Computers and Operations Research, International Journal of Production Economics, and Omega. He serves as the Book Series Editor on Computational Risk Management (Springer). He has been invited to give plenary lectures and keynote talks in various international conferences more than 30 times. He is an Elected Member of Academia Europaea (The Academy of Europe), the European Academy of Sciences and Arts, and the International Eurasian Academy of Sciences.

Inhalt
Chapter 1. Basics of Smart Healthcare Engineering Management.- Chapter 2. Frontier of Smart Healthcare Engineering Management.- Chapter 3. Smart Healthcare Data Exchange and Utilization.- Chapter 4. Smart Healthcare Multi-modal Data Fusion.- Chapter 5. Smart Healthcare Knowledge Inference and Service Engineering.- Chapter 6. Non-contact Mental and Physical Health Screening.- Chapter 7. OHC Physician Quality Perception and Recommendation.- Chapter 8. Cancer Diagnosis Support and Risk Analytics.- Chapter 9. ICU Mortality Prediction and Risk Analytics.- Chapter 10. Minimally Invasive Surgery Quality Control.- Chapter 11. Intelligent Hospital Operation and Risk Control.- Chapter 12. Recapitulation.