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DC Field | Value | Language |
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dc.contributor.author | Wickramasinghe, Nilmini | - |
dc.date.accessioned | 2020-10-15T04:11:04Z | - |
dc.date.available | 2020-10-15T04:11:04Z | - |
dc.date.issued | 2020-01 | - |
dc.identifier.citation | Ch 1, pp1-15 | en_US |
dc.identifier.isbn | ISBN13: 9781799813712 | en_US |
dc.identifier.uri | http://hdl.handle.net/11434/1883 | - |
dc.description.abstract | As the volumes of data generated in healthcare delivery grows, the need for embracing big data strategies and data analytic techniques to better navigate dynamic and complex healthcare environments becomes more and more pressing. This focus has been further fuelled by the advances in technologies and medical science and the incorporation of digital health solutions that enable us to isolate genome sequencing data. However, it is the thesis of this chapter that unless healthcare organisations become learning organisations and incorporate the techniques of knowledge management and organisational learning, these large and essentially raw data assets will become a burden and not a benefit. Thus, healthcare systems need to be redesigned into intelligent health systems that maximise technology and utilise valuable knowledge assets. To do this, it is imperative to understand the link between the principles of organisational learning and knowledge management (KM) to facilitate the building of learning healthcare organisations. | en_US |
dc.publisher | IGI Global | en_US |
dc.title | The Need for developing learning health care organisations. | en_US |
dc.type | Chapter | en_US |
dc.identifier.doi | DOI: 10.4018/978-1-7998-1371-2.ch001 | en_US |
dc.description.affiliates | Health Informatics | en_US |
dc.type.contenttype | Text | en_US |
dc.title.book | Handbook of research in optimising health care management techniques. | en_US |
Appears in Collections: | Health Informatics |
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