Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1431
Title: Controlling chaos through the application of smart technologies and intelligent techniques.
Epworth Authors: Wickramasinghe, Nilmini
Other Authors: Bali, Rajeev
Keywords: Business Intelligence
Crisis Management
Data Mining
Emergency Management
Disaster Planning
Knowledge Economy
Knowledge Management
KM
Decision Making
Emergency Preparedness
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Issue Date: 2008
Publisher: Inderscience
Citation: Int. J. of Risk Assessment and Management, 2008; 10(1-2): 172-182
Abstract: Recently, the world has witnessed several large-scale natural disasters, including the tsunami that devastated many of the countries around the rim of the Indian Ocean in December 2004, extensive flooding in many parts of Europe in August 2005 and hurricane Katrina in September 2005. These emergency and disaster situations serve to underscore the utter chaos that ensues in the aftermath of such disasters, the many casualties and loss of life, not to mention the devastation and destruction. One recurring theme that is apparent in all these situations is that, irrespective of warnings of the imminent threats, countries have not been prepared and ready to exhibit effective and efficient crisis management. This paper examines the application of the tools, techniques and processes of the knowledge economy to develop a prescriptive model that will support superior decision-making in emergency and disaster situations and thereby enable effective and efficient crisis management.
URI: http://hdl.handle.net/11434/1431
DOI: 10.1504/IJRAM.2008.021061
ISSN: 1741-5241
1466-8297
Journal Title: International Journal of Risk Assessment and Management
Type: Journal Article
Affiliated Organisations: Center for the Management of Medical Technology, Stuart Graduate School of Business, Illinois Institute of Technology, Chicago, IL 60661, USA.
Knowledge Management for Healthcare (KMH) Research Subgroup, Biomedical Computing and Engineering Technologies Applied Research Group (BIOCORE), Coventry University, Coventry, UK
Appears in Collections:Health Informatics

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