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Resilience Management for a Sustainable Aging Society

Preventability of Medical Accidents Using Big Data

  • Shigeo Atsuji

Part of the SpringerBriefs in Business book series (BRIEFSBUSINESS)

Table of contents

About this book

Introduction

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).


Keywords

Resilience Management Big Data Cluster Analysis Medical Accident Big Data Co-occurrence Network Mining Kaizen Innovation for Sustainability Global Platform by Internet of Medicine

Authors and affiliations

  • Shigeo Atsuji
    • 1
  1. 1.Kansai UniversityKyotoJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-5805-0
  • Copyright Information The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Business and Management
  • Print ISBN 978-981-13-5804-3
  • Online ISBN 978-981-13-5805-0
  • Series Print ISSN 2191-5482
  • Series Online ISSN 2191-5490
  • Buy this book on publisher's site