Resilience Management for a Sustainable Aging Society: Preventability of Medical Accidents Using Big Data
暫譯: 可持續老齡社會的韌性管理:利用大數據預防醫療事故

Atsuji, Shigeo

  • 出版商: Springer
  • 出版日期: 2019-06-18
  • 售價: $2,580
  • 貴賓價: 9.5$2,451
  • 語言: 英文
  • 頁數: 131
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9811358044
  • ISBN-13: 9789811358043
  • 相關分類: 大數據 Big-data
  • 海外代購書籍(需單獨結帳)

商品描述

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).


商品描述(中文翻譯)

本書利用大數據對醫療事故進行叢集分析。強調全球共通的事故模式,這是透過資訊與通信技術驅動的改善(kaizen)創新,邁向降低事故發生率的第一步。此倡議是在醫療事故目前是僅次於心臟病和癌症的第三大死亡原因的背景下提出的,使得事故預防成為一個迫切的關注點。為了防止這些對眾多不同利益相關者產生負面影響的事故,並基於跨學科的研究,本書探討了以下幾個方面:(1) 應用資料探勘以識別共通的事故模式;(2) 針對危機管理中的風險與韌性提出系統改進和組織創新的建議;(3) 利用全球平台實現醫療互聯網(Internet of Medicine, IoM)的可持續性。