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).