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Order Sets in the Clinical Setting

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dc.contributor.author Hall, Susan
dc.date.accessioned 2013-08-27T22:42:41Z
dc.date.available 2013-08-27T22:42:41Z
dc.date.copyright 2013 en_US
dc.date.issued 2013-08-27
dc.identifier.uri http://hdl.handle.net/1828/4851
dc.description.abstract Clinicians and hospital administrators are increasingly challenged to achieve efficient evidence-based care. Clinical decision support (CDS) tools are being introduced into the clinical setting to facilitate the bridging of knowledge gaps at the point of care. Order sets are one of the tools used to facilitate this knowledge translation. Using the realist review methodology and a focus group of interview participants, this thesis explored retrospectively some of the causal relationships that lead to effective and successful order set adoption. Findings demonstrate the need for in-depth and regular review of context and order set adoption. Technology can offer some enhancements in the form of delivery tools, but it also introduces new and complex challenges for development and implementation. Ongoing software development is needed to improve delivery formats as well as incorporate effective tools to allow for efficient continuous quality improvement supports. en_US
dc.language English eng
dc.language.iso en en_US
dc.subject order sets en_US
dc.subject standardized order sets en_US
dc.subject realist review en_US
dc.subject decision support en_US
dc.subject adoption approaches en_US
dc.subject evidence based practice en_US
dc.title Order Sets in the Clinical Setting en_US
dc.type Thesis en_US
dc.contributor.supervisor Lau, Francis Yin Yee
dc.degree.department School of Health Information Science en_US
dc.degree.level Master of Science M.Sc. en_US
dc.rights.temp Available to the World Wide Web en_US
dc.description.scholarlevel Graduate en_US
dc.description.proquestcode 0769 en_US
dc.description.proquestcode 0566 en_US


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