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Journal of Medical Systems

, 40:209 | Cite as

Big Data in Health: a Literature Review from the Year 2005

  • Isabel de la Torre Díez
  • Héctor Merino Cosgaya
  • Begoña Garcia-Zapirain
  • Miguel López-Coronado
Education & Training
Part of the following topical collections:
  1. Education & Training

Abstract

The information stored in healthcare systems has increased over the last ten years, leading it to be considered Big Data. There is a wealth of health information ready to be analysed. However, the sheer volume raises a challenge for traditional methods. The aim of this article is to conduct a cutting-edge study on Big Data in healthcare from 2005 to the present. This literature review will help researchers to know how Big Data has developed in the health industry and open up new avenues for research. Information searches have been made on various scientific databases such as Pubmed, Science Direct, Scopus and Web of Science for Big Data in healthcare. The search criteria were “Big Data” and “health” with a date range from 2005 to the present. A total of 9724 articles were found on the databases. 9515 articles were discarded as duplicates or for not having a title of interest to the study. 209 articles were read, with the resulting decision that 46 were useful for this study. 52.6 % of the articles used were found in Science Direct, 23.7 % in Pubmed, 22.1 % through Scopus and the remaining 2.6 % through the Web of Science. Big Data has undergone extremely high growth since 2011 and its use is becoming compulsory in developed nations and in an increasing number of developing nations. Big Data is a step forward and a cost reducer for public and private healthcare.

Keywords

Big data Databases Health Review 

Notes

Acknowledgments

This research has been partially supported by the European Commission and the Ministry of Industry, Energy and Tourism under the project AAL-20125036 named “WetakeCare: ICT- based Solution for (Self-) Management of Daily Living”.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no competing interests.

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Isabel de la Torre Díez
    • 1
  • Héctor Merino Cosgaya
    • 1
  • Begoña Garcia-Zapirain
    • 2
  • Miguel López-Coronado
    • 1
  1. 1.Department of Signal Theory and Communications, and Telematics EngineeringUniversity of ValladolidValladolidSpain
  2. 2.University of DeustoBilbaoSpain

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