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Title: The healthcare Intelligence Continuum: key model for enabling KM initiatives and realising the full potential of SMT in healthcare delivery
Epworth Authors: Wickramasinghe, Nilmini
Other Authors: Bali, Rajeev
Schaffer, Jonathan
Keywords: Knowledge Management
Data Mining
Intelligence Continuum
Knowledge Spiral
Tacit Knowledge
Explicit Knowledge
System Management Technologies
Healthcare Delivery
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Issue Date: 2008
Publisher: Inderscience
Citation: Int. J. of Biomedical Engineering and Technology, 2008; 1(4): 415-426
Abstract: Knowledge Management (KM) is an emerging business approach aimed at solving current organisational challenges such as operational efficiency, aimed at solving current organisational challenges The premise for the need for KM is based on a paradigm shift in the business environment where knowledge is central to organisational performance (Drucker, 1993). Organisations trying to embrace KM have many tools, techniques and strategies at their disposal. A vital technique in KM is data mining that enables critical knowledge to be gained from the analysis of large amounts of data and information.
DOI: 10.1504/IJBET.2008.020070
ISSN: 1752-6426
Journal Title: International Journal of Biomedical Engineering and Technology
Type: Journal Article
Affiliated Organisations: Center for the Management of Medical Technology, Stuart School of Business, Illinois Institute of Technology, 565 W Adams St Ste 406 Chicago, IL 60661, USA
Knowledge Management for Healthcare (KMH) Research Subgroup, Biomedical Computing and Engineering Technologies Applied Research Group (BIOCORE), Coventry University, UK.
Appears in Collections:Health Informatics

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