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Resilience management for a sustaina...

Atsuji, Shigeo.

Resilience management for a sustainable aging societypreventability of medical accidents using big data /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Resilience management for a sustainable aging societyby Shigeo Atsuji.
Reminder of title:	preventability of medical accidents using big data /
Author:	Atsuji, Shigeo.
Published:	Singapore :Springer Singapore :2019.
Description:	xvii, 136 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Medical errorsPrevention.
Online resource:	https://doi.org/10.1007/978-981-13-5805-0
ISBN:	9789811358050$q(electronic bk.)

Resilience management for a sustainable aging societypreventability of medical accidents using big data /
Atsuji, Shigeo.

Resilience management for a sustainable aging societypreventability of medical accidents using big data /[electronic resource] :by Shigeo Atsuji. - Singapore :Springer Singapore :2019. - xvii, 136 p. :ill., digital ;24 cm. - SpringerBriefs in business,2191-5482. - SpringerBriefs in business..

ICT Resilience Management from Big-data -- Medical Accident Big-data in Japan -- 'Kaizen' for Medical Accident Preventability -- Medical Sustainability by Internet of Medicine.

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)

ISBN: 9789811358050$q(electronic bk.)

Standard No.: 10.1007/978-981-13-5805-0doiSubjects--Topical Terms:

397185
Medical errors
--Prevention.

LC Class. No.: R729.8 / .A77 2019

Dewey Class. No.: 610

Resilience management for a sustainable aging societypreventability of medical accidents using big data /
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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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