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Title: A systematic approach: optimization of healthcare operations with knowledge management.
Epworth Authors: Wickramasinghe, Nilmini
Other Authors: Bali, R.
Gibbons, M. C.
Choi, J. H.
Schaffer, J. L.
Keywords: Information Systems
Knowledge Management
Systems Analysis
Decision Making
Boyd's OODA Loop
Intelligence Continuum
Operating Rooms
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Issue Date: Jan-2009
Publisher: Jossey-Bass Publishers
Citation: J Healthc Inf Manag. 2009 Summer;23(3):44-50.
Abstract: Effective decision making is vital in all healthcare activities. While this decision making is typically complex and unstructured, it requires the decision maker to gather multispectral data and information in order to make an effective choice when faced with numerous options. Unstructured decision making in dynamic and complex environments is challenging and in almost every situation the decision maker is undoubtedly faced with information inferiority. The need for germane knowledge, pertinent information and relevant data are critical and hence the value of harnessing knowledge and embracing the tools, techniques, technologies and tactics of knowledge management are essential to ensuring efficiency and efficacy in the decision making process. The systematic approach and application of knowledge management (KM) principles and tools can provide the necessary foundation for improving the decision making processes in healthcare. A combination of Boyd's OODA Loop (Observe, Orient, Decide, Act) and the Intelligence Continuum provide an integrated, systematic and dynamic model for ensuring that the healthcare decision maker is always provided with the appropriate and necessary knowledge elements that will help to ensure that healthcare decision making process outcomes are optimized for maximal patient benefit. The example of orthopaedic operating room processes will illustrate the application of the integrated model to support effective decision making in the clinical environment.
PubMed URL:
ISSN: 1099-811X
Journal Title: Journal of Healthcare Information Management: JHIM
Type: Journal Article
Affiliated Organisations: Health Informatics
Appears in Collections:Health Informatics

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