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).
