Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1444
Title: From data to decisions: a knowledge management approach for productivity increase in a radiology department.
Epworth Authors: Wickramasinghe, Nilmini
Other Authors: Bali, Rajeev
Goodfellow, T.
Naguib, Raouf
Keywords: Knowledge Management
KM
Radiology
Knowledge Discovery
Decision Making
United Kingdom
UK
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Issue Date: 2008
Publisher: Inderscience
Citation: Int. J. of Biomedical Engineering and Technology, 2008; 1(3): 259-272
Abstract: Contemporary healthcare organisations have to develop an ability to intelligently use the knowledge assets already inherent within them as well as incorporate the new data and information they create daily. To do this effectively, superior tools and methods are required while Knowledge Management (KM) presents itself as an ideal enabler for transforming data to sound decisions. KM is based on a paradigm shift in the business environment where knowledge is central to organisational performance and, by way of effective clinical knowledge discovery techniques, can be used as a process that solves organisational problems by analysing data to identify patterns and relationships that can explain and predict behaviour. This paper examines the efficacy of KM for effecting superior operations in a real-life Clinical Radiology Department in the UK.
URI: http://hdl.handle.net/11434/1444
DOI: 10.1504/IJBET.2008.016960
ISSN: 1752-6426
1752-6418
Journal Title: International Journal of Biomedical Engineering and Technology
Type: Journal Article
Affiliated Organisations: Department of Clinical Radiology, Specialist Services Division, University Hospitals Coventry and Warwickshire NHS Trust (UHCW), Coventry, UK.
Knowledge Management for Healthcare (KARMAH) Research Subgroup, Biomedical Computing and Engineering Technologies Applied Research Group (BIOCORE), Coventry University, UK.
Stuart School of Business, Center for the Management of Medical Technology (CMMT), Illinois Institute of Technology, Chicago, USA.
Biomedical Computing and Engineering Technologies Applied Research Group (BIOCORE), Coventry University, UK
Appears in Collections:Health Informatics

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