Resilience Management for a Sustainable Aging Society

Preventability of Medical Accidents Using Big Data
1. Auflage 2019
ISBN: 978-981-13-5804-3
Verlag: Springer Nature Singapore

Buch, Englisch, 136 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 248 g

Reihe: SpringerBriefs in Business

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).

Zielgruppe

Research

Autoren/Hrsg.

Atsuji, Shigeo

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Betriebliches Gesundheitsmanagement
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Präventivmedizin, Gesundheitsförderung, Medizinisches Screening

Inhaltsverzeichnis

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