A Systematic Literature Review of Big Data Analytics in Healthcare Digital Transformation-Reference-Cited by-同舟云学术

A Systematic Literature Review of Big Data Analytics in Healthcare Digital Transformation

Published:2024-06-27 Issue:1 Volume:6 Page:3-17
ISSN:2686-8296
Container-title:Journal of Digital Science
language:en
Short-container-title:JDS

Author:

Mansour Tarek¹^ORCID,Bick Markus¹^ORCID

Affiliation:

1. ESCP Business School, Berlin, Germany

Abstract

This paper aims to analyse the current literature on big data analytics in healthcare digital transformation and to provide a research agenda for scholars and guidance for practitioners on related research themes. In doing so, it will offer support on further development for researchers and accelerate adoption for practitioners. A systematic literature review was performed based on Brocke et al. A data analysis of 64 articles based on Webster & Watson, which met the SLR review published between 2011 and 2021, was conducted. Five themes were identified in big data analytics in healthcare transformation, namely governance, healthcare, enablement, digital health initiatives and applications, based on previous research publications by various scholars between 2011 and 2021. To the best knowledge of the authors, this is the first research study to review the literature on big data analytics in digital healthcare transformation. The future research agenda sheds light on plenty of topics that can be investigated further through multiple methodologies; however, the availability of datasets for researchers may be a limitation to driving the research forward. A summary of the current literature under the five themes of BDA analytics in healthcare digital transformation is provided.

Publisher

Institute of Cited Scientists

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