Healthcare analytics—A literature review and proposed research agenda

This research addresses the demanding need for research in healthcare analytics, by explaining how previous studies have used big data, AI, and machine learning to identify, address, or solve healthcare problems. Healthcare science methods are combined with contemporary data science techniques to ex...

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Published in:Frontiers in big data Vol. 6; p. 1277976
Main Authors: Elragal, Rawan, Elragal, Ahmed, Habibipour, Abdolrasoul
Format: Journal Article
Language:English
Published: Frontiers Media S.A 05-10-2023
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Summary:This research addresses the demanding need for research in healthcare analytics, by explaining how previous studies have used big data, AI, and machine learning to identify, address, or solve healthcare problems. Healthcare science methods are combined with contemporary data science techniques to examine the literature, identify research gaps, and propose a research agenda for researchers, academic institutions, and governmental healthcare organizations. The study contributes to the body of literature by providing a state-of-the-art review of healthcare analytics as well as proposing a research agenda to advance the knowledge in this area. The results of this research can be beneficial for both healthcare science and data science researchers as well as practitioners in the field.
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Edited by: Farman Ali, Sejong University, Republic of Korea
Reviewed by: Tariq Hussain, Zhejiang Gongshang University, China; Muhammad Shoaib, CECOS University of Information Technology and Emerging Sciences, Pakistan
ISSN:2624-909X
2624-909X
DOI:10.3389/fdata.2023.1277976