Big Data Analytics in Health: an overview and bibliometric study of research activity.

Clicks: 303
ID: 75030
2019
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
The study presents an overview of the research activity in Big Data Analytics (BDA) in the field of health and demonstrates the existing knowledge through related examples. The objective is to inform health librarians about the nature and magnitude of the technological innovations in health information analysis tools, its influence, and where and how further material could be searched.We performed a bibliometric and co-citation analysis within a total of 804 papers published between 2000 and 2016 and retrieved from the Web of Science and Scopus databases. Using the NVivo text analysis software, we identified the stakeholders of BDA in health and innovative decision support systems in the field.Our findings show a tremendous increase in published papers after 2014. Most of them are relevant to neurology and medical oncology. The stakeholders are clinicians, researchers, patients, administrators, IT specialists, vendors and policymakers. New BDA tools in medicine are mostly developed for disease monitoring purposes while they utilise visualisation to identify disease patterns and statistical analysis of past data for making predictions.Health analytics provide a unique opportunity for advancing health information research and medical decision making. It provides health information professionals with new tools in problem-solving offering new perspectives in prognosis and diagnosis of diseases.
Reference Key
galetsi2019bighealth Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Galetsi, Panagiota;Katsaliaki, Korina;
Journal health information and libraries journal
Year 2019
DOI
10.1111/hir.12286
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.