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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).
| Autorius: | Shigeo Atsuji |
| Serija: | SpringerBriefs in Business |
| Leidėjas: | Springer Nature Singapore |
| Išleidimo metai: | 2019 |
| Knygos puslapių skaičius: | 156 |
| ISBN-10: | 9811358044 |
| ISBN-13: | 9789811358043 |
| Formatas: | 235 x 155 x 9 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Resilience Management for a Sustainable Aging Society: Preventability of Medical Accidents Using Big Data“
