Start Date
11-8-2016
Description
Big data in healthcare has drawn substantial attention in recent years. Current researches on big data in healthcare are highly interdisciplinary involving methodologies from engineering, computing, behavior science, information science, social science, management science, as well as many different areas in medicine and public health. However, the identification of major hot topics and related research methodologies in big data in healthcare still lacks a comprehensive quantitative analysis. To provide a better understanding of the hot topics and methodologies in big data in healthcare and their future trends, a systematic and comprehensive literature search of the published research papers from past 20 years in big data research of healthcare was conducted and the resulting 321 literature papers were reviewed and analyzed. Overall, we identified three major topics comprising of omics, medical specialties and IT healthcare, with 12 subtopics. We also classified the used methodologies into 7 types relating to different areas.
Recommended Citation
Li, Jingwei; Ding, Wei; Cheng, Hsing; Chen, Ping; Di, Dehai; and Huang, Wei, "A Comprehensive Literature Review on Big Data in Healthcare" (2016). AMCIS 2016 Proceedings. 8.
https://aisel.aisnet.org/amcis2016/AsiaPac/Presentations/8
A Comprehensive Literature Review on Big Data in Healthcare
Big data in healthcare has drawn substantial attention in recent years. Current researches on big data in healthcare are highly interdisciplinary involving methodologies from engineering, computing, behavior science, information science, social science, management science, as well as many different areas in medicine and public health. However, the identification of major hot topics and related research methodologies in big data in healthcare still lacks a comprehensive quantitative analysis. To provide a better understanding of the hot topics and methodologies in big data in healthcare and their future trends, a systematic and comprehensive literature search of the published research papers from past 20 years in big data research of healthcare was conducted and the resulting 321 literature papers were reviewed and analyzed. Overall, we identified three major topics comprising of omics, medical specialties and IT healthcare, with 12 subtopics. We also classified the used methodologies into 7 types relating to different areas.