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Predictive Analytics to Support Clinical Decision Making: Opportunities and Directions

Predictive Analytics to Support Clinical Decision Making: Opportunities and Directions
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Author(s): Nilmini Wickramasinghe (Swinburne University of Technology, Australia & Epworth HealthCare, Australia)
Copyright: 2020
Pages: 11
Source title: Handbook of Research on Optimizing Healthcare Management Techniques
Source Author(s)/Editor(s): Nilmini Wickramasinghe (Swinburne University of Technology, Australia & Epworth HealthCare, Australia)
DOI: 10.4018/978-1-7998-1371-2.ch020

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Abstract

A key activity in healthcare is clinical decision making. This decision making typically has to be made rapidly and often without complete information. Moreover, the consequences of these decisions could be far reaching including the difference between life or death. Today analytics can assist in clinical decision making as the following chapter highlights. However, to gain the most from any type of analytics, it is first necessary to fully understand the dynamics around the clinical decision making process.

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