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This book utilizes big data to undertake a cluster analysis of medical accidents. Highlighting shared worldwide accident patterns, it represents a first step toward reducing the incidence of accidents through kaizen innovation driven by information and communications technology. This initiative comes against a background where medical accidents are currently the third largest cause of death after heart attack and cancer, making accident prevention an urgent concern. With the objective of preventing these accidents, which negatively impact numerous different stakeholders, and based on interdisciplinary research, the book examines (1) the application of data mining to identify shared accident patterns; (2) proposals for system improvement and organizational innovation aimed at risk and resilience in crisis management; and (3) the use of a global platform to achieve sustainability in the Internet of Medicine (IoM).
Dr. Shigeo Atsuji is Professor of Informatics at Kansai University in Japan and a Research Fellow at Kyoto University (2012-13). With a DBA in organization theory and a PhD in policy sciences, he is a member of a number of scholarly associations and societies. Professor Atsuji's research interests focus on management informatics and organizational intelligence, decision-making theory and the organizational aspects of accident and disaster. He has led teams producing case studies of events such as the Fukushima nuclear power station disaster linked to the earthquake and tsunami that struck Japan in 2011 and the JR West railway accident of 2005 and has presented associated case studies funded by the government at international conferences including those of the International Society for Systems Science and the International Federation of Scholarly Associations of Management.
ICT Resilience Management from Big-data.- Medical Accident Big-data in Japan.- 'Kaizen' for Medical Accident Preventability.- Medical Sustainability by Internet of Medicine.
