Version 2 2024-06-05, 04:53Version 2 2024-06-05, 04:53
Version 1 2021-03-31, 08:15Version 1 2021-03-31, 08:15
journal contribution
posted on 2024-06-05, 04:53authored bySJ Miah, E Camilleri, Quan VuQuan Vu
The purpose of this study is to present a literature review that provides
in-depth analytical insight into big data in healthcare. This was
addressed by achieving three things: a) identifying the key topics
addressed in existing big data research in healthcare; b) measuring
associations between topics in existing studies; and c) constructing time
series profiles for the various topics addressed in big data and healthcare
research. Going beyond the common review methodologies in this
domain, we introduce a comprehensive literature survey methodology,
based on systems theory and PRISMA framework. Using the survey
methodology, 2,941 research articles that were published between 2012
and 2019 were analysed to both synthesize and develop the findings
presented in this study. Based on this study’s findings, a comprehensive
overview of researchers’ interest towards different methodologies,
technologies and subject areas is provided, which include the
identification of substantial gaps in research for further development.