Resilience Management for a Sustainable Aging Society - Preventability of Medical Accidents Using Big Data (Paperback, 1st ed. 2019)

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).

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	SpringerBriefs in Business
Release date:	June 2019
First published:	2019
Authors:	Shigeo Atsuji
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	136
Edition:	1st ed. 2019
ISBN-13:	978-981-13-5804-3
Categories:	Books > Business & Economics > Economics > General Books > Business & Economics > Business & management > Business negotiation Books > Business & Economics > Finance & accounting > Finance > General Books > Business & Economics > Business & management > Management of specific areas > Research & development management Books > Medicine > General issues > Health systems & services > General Books > Earth & environment > The environment > Applied ecology > General Books > Money & Finance > General
LSN:	981-13-5804-4
Barcode:	9789811358043

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