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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|
System Management Technologies
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
|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.|
|Journal Title:||International Journal of Biomedical Engineering and Technology|
|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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