عنوان انگلیسی مقاله:
Concurrence of big data analytics and healthcare: A systematic review
ترجمه فارسی عنوان مقاله:
انطباق با تجزیه و تحلیل داده های بزرگ و مراقبت های بهداشتی: یک مرور سیستماتیک
Sciencedirect - Elsevier - International Journal of Medical Informatics, 114 (2018) 57-65: doi:10:1016/j:ijmedinf:2018:03:013
Nishita Mehtaa,⁎, Anil Panditb
Background: The application of Big Data analytics in healthcare has immense potential for improving the quality
of care, reducing waste and error, and reducing the cost of care.
Purpose: This systematic review of literature aims to determine the scope of Big Data analytics in healthcare
including its applications and challenges in its adoption in healthcare. It also intends to identify the strategies to
overcome the challenges.
Data sources: A systematic search of the articles was carried out on five major scientific databases: ScienceDirect,
PubMed, Emerald, IEEE Xplore and Taylor & Francis. The articles on Big Data analytics in healthcare published
in English language literature from January 2013 to January 2018 were considered.
Study selection: Descriptive articles and usability studies of Big Data analytics in healthcare and medicine were
Data extraction: Two reviewers independently extracted information on definitions of Big Data analytics; sources
and applications of Big Data analytics in healthcare; challenges and strategies to overcome the challenges in
Results: A total of 58 articles were selected as per the inclusion criteria and analyzed. The analyses of these
articles found that: (1) researchers lack consensus about the operational definition of Big Data in healthcare; (2)
Big Data in healthcare comes from the internal sources within the hospitals or clinics as well external sources
including government, laboratories, pharma companies, data aggregators, medical journals etc.; (3) natural
language processing (NLP) is most widely used Big Data analytical technique for healthcare and most of the
processing tools used for analytics are based on Hadoop; (4) Big Data analytics finds its application for clinical
decision support; optimization of clinical operations and reduction of cost of care (5) major challenge in
adoption of Big Data analytics is non-availability of evidence of its practical benefits in healthcare.
Conclusion: This review study unveils that there is a paucity of information on evidence of real-world use of Big
Data analytics in healthcare. This is because, the usability studies have considered only qualitative approach
which describes potential benefits but does not take into account the quantitative study. Also, majority of the
studies were from developed countries which brings out the need for promotion of research on Healthcare Big
Data analytics in developing countries.
Keywords: Big data , Analytics , Healthcare , Predictive analytics , Evidence-based medicine