Resilience Management for a Sustainable Aging Society
Preventability of Medical Accidents Using Big Data
Seiten
2019
|
1st ed. 2019
Springer Verlag, Singapore
978-981-13-5804-3 (ISBN)
Springer Verlag, Singapore
978-981-13-5804-3 (ISBN)
This book utilizes big data to undertake a cluster analysis of medical accidents. 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;
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).
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).
ICT Resilience Management from Big-data.- Medical Accident Big-data in Japan.- ‘Kaizen’ for Medical Accident Preventability.- Medical Sustainability by Internet of Medicine.
| Erscheinungsdatum | 25.06.2019 |
|---|---|
| Reihe/Serie | SpringerBriefs in Business |
| Zusatzinfo | 37 Illustrations, color; 5 Illustrations, black and white; XVII, 136 p. 42 illus., 37 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Medizin / Pharmazie ► Gesundheitswesen |
| Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung | |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| Wirtschaft ► Volkswirtschaftslehre ► Finanzwissenschaft | |
| Schlagworte | Big Data • cluster analysis • Co-occurrence Network Mining • Global Platform by Internet of Medicine • Kaizen Innovation for Sustainability • Medical Accident Big Data • Resilience management |
| ISBN-10 | 981-13-5804-4 / 9811358044 |
| ISBN-13 | 978-981-13-5804-3 / 9789811358043 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Allgemeines Steuerrecht, Abgabenordnung, Umsatzsteuer
Buch (2024)
Springer Gabler (Verlag)
CHF 39,20
theoretische Basis und praktische Anwendung
Buch | Softcover (2023)
De Gruyter Oldenbourg (Verlag)
CHF 55,90
