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Big Data Challenges and Solutions in Healthcare: A Survey

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Innovations in Bio-Inspired Computing and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 424))

Abstract

The digitization of medical data, field of genomics and use of wearable sensors to monitor patient health are some of the factors that have dramatically increased the growth of Big Data in Health Care/Biomedicine. Big data in healthcare actually refers to electronic health data sets which are large and complex that is very difficult to manage with traditional/conventional data management tools and techniques. Big data analytics in healthcare is cumbersome not just because of its volume but also because of the diversity of data types and the speed at which it is generated and must be managed/analyzed. Rapid progress is to be made for analyzing this data and for gleaning new insights for making better informed decisions. There are unprecedented opportunities to use big data. The Health Care Industry should find methods to properly analyze this Big HealthCare Data generated and stored around the world each seconds in order to discover associations, understand the patterns and trends which will provide significant opportunities for real-time tracking of diseases, predicting disease outbreaks, to improve care, save lives and lower costs. Extraction, integration and analysis of heterogeneous, enormous and complex HealthCare data captured from various Electronic Health Care sources are a major challenge. New methods, applications and tools that are used by Healthcare industries, practitioners and researchers to tackle the big data challenges are discussed in this paper.

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Authors and Affiliations

  1. MCA, School of Computing Sciences, Hindustan University, Chennai, India

    Prabha Susy Mathew & Anitha S. Pillai

Authors
  1. Prabha Susy Mathew
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  2. Anitha S. Pillai
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Correspondence to Prabha Susy Mathew or Anitha S. Pillai .

Editor information

Editors and Affiliations

  1. Dep. of Computer Science, VŠB – Technical Univ. of Ostrava, Ostrava, Czech Republic

    Václav Snášel

  2. (MIR Labs), Scientific Net Innov & Res Excel, Auburn, Washington, USA

    Ajit Abraham

  3. Faculty of Elec. Eng. & Comp. Sci., VÅ B - Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Pavel Krömer

  4. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Millie Pant

  5. Fac of Info & Comm, Comp Inte & Tech Lab, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia

    Azah Kamilah Muda

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© 2016 Springer International Publishing Switzerland

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Mathew, P.S., Pillai, A.S. (2016). Big Data Challenges and Solutions in Healthcare: A Survey. In: Snášel, V., Abraham, A., Krömer, P., Pant, M., Muda, A. (eds) Innovations in Bio-Inspired Computing and Applications. Advances in Intelligent Systems and Computing, vol 424. Springer, Cham. https://doi.org/10.1007/978-3-319-28031-8_48

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  • DOI: https://doi.org/10.1007/978-3-319-28031-8_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28030-1

  • Online ISBN: 978-3-319-28031-8

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