Conceptual design principles for data-driven clinical decision support systems (CDSS): Developing useful and relevant CDSS

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In an era where health organizations are constantly striving to increase the quality of care amidst significant challenges, such as the recent pandemic, the development of clinical decision support systems (CDSS) can make contextually relevant predictions that can contribute to more efficient and safe health systems. This chapter outlines the conceptual design principles for data-driven clinical decision support systems. It starts by explaining to the reader the user setting and healthcare data use characteristics to discuss 11 principles and considerations for designing contextually data-driven models for clinical decision-making. The chapter was written to be comprehensive to a wide range of audiences and is meant to be enjoyable for readers without an extensive background in data science.

Original languageEnglish
Title of host publicationHealth Informatics and Patient Safety in Times of Crisis
PublisherIGI Global
Pages154-174
Number of pages21
ISBN (Electronic)9781668455005
ISBN (Print)9781668454992
DOIs
StatePublished - Dec 9 2022

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