Knowledge management in healthcare organizations

Wickramasinghe, Nilmini and Gururajan, Raj (2016) Knowledge management in healthcare organizations. In: Management innovations for healthcare organizations: adopt, abandon or adapt? Routledge Studies in the Management of Voluntary and Non-Profit Organizations. Taylor & Francis (Routledge), New York, pp. 195-208. ISBN 978-1-138-82569-7

Abstract

[Introduction]: Knowledge Management (KM) is a contemporary management technique that is aimed at solving the current challenges to increase the efficiency and efficacy of the core production of care processes while simultaneously incorporating continuous innovation. The premise for the need for Knowledge Management is based on a paradigm shift in the environment where knowledge is now central to organizational performance (Dalkir, 2013; Drucker, 1993, 1999). Specifically, KM offers organizations many tools, techniques and strategies to apply to their existing production or care processes. Healthcare is information rich, with extremely large and complex data sets that need to be analysed. The collection of data permeates all areas of healthcare, and when coupled with the new trends in evidence-based medicine and electronic medical records systems, it is imperative that healthcare embraces the tools, technologies, strategies and processes of Knowledge Management if it is to fully realize the benefits from all these data assets (Wickramasinghe & Schaffer, 2010).


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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: © copyright 2016 Taylor & Francis.
Faculty / Department / School: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise
Date Deposited: 08 Jul 2016 03:04
Last Modified: 15 Mar 2018 02:54
Fields of Research : 11 Medical and Health Sciences > 1199 Other Medical and Health Sciences > 119999 Medical and Health Sciences not elsewhere classified
08 Information and Computing Sciences > 0804 Data Format > 080499 Data Format not elsewhere classified
Identification Number or DOI: 10.4324/9781315739786
URI: http://eprints.usq.edu.au/id/eprint/29438

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