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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: 2021
Pages: 11
Source title: Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-9023-2.ch025

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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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