Abstract
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 13 subtopics. We also classified the used methodologies into 7 types relating to different areas.
| Original language | English |
|---|---|
| State | Published - 2016 |
| Event | 22nd Americas Conference on Information Systems: Surfing the IT Innovation Wave, AMCIS 2016 - San Diego, United States Duration: Aug 11 2016 → Aug 14 2016 |
Conference
| Conference | 22nd Americas Conference on Information Systems: Surfing the IT Innovation Wave, AMCIS 2016 |
|---|---|
| Country/Territory | United States |
| City | San Diego |
| Period | 8/11/16 → 8/14/16 |
ASJC Scopus Subject Areas
- Computer Science Applications
- Computer Networks and Communications
- Information Systems
Keywords
- Big data
- Healthcare
- Literature review
- Statistical analysis
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