Resilience Management for a Sustainable Aging Society Preventability of Medical Accidents Using Big Data /

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 come...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Atsuji, Shigeo (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:SpringerBriefs in Business,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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505 0 |a ICT Resilience Management from Big-data -- Medical Accident Big-data in Japan -- 'Kaizen' for Medical Accident Preventability -- Medical Sustainability by Internet of Medicine. 
520 |a 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). 
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