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Big Data Knowledge System in Healthcare

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Internet of Things and Big Data Technologies for Next Generation Healthcare

Part of the book series: Studies in Big Data ((SBD,volume 23))

Abstract

The health care systems are rapidly adopting large amounts of data, driven by record keeping, compliance and regulatory requirements, and patient care. The advances in healthcare system will rapidly enlarge the size of the health records that are accessible electronically. Concurrently, fast progress has been made in clinical analytics. For example, new techniques for analyzing large size of data and gleaning new business insights from that analysis is part of what is known as big data. Big data also hold the promise of supporting a wide range of medical and healthcare functions, including among others disease surveillance, clinical decision support and population health management. Hence, effective big data based knowledge management system is needed for monitoring of patients and identify the clinical decisions to the doctor. The chapter proposes a big data based knowledge management system to develop the clinical decisions. The proposed knowledge system is developed based on variety of databases such as Electronic Health Record (EHR), Medical Imaging Data, Unstructured Clinical Notes and Genetic Data. The proposed methodology asynchronously communicates with different data sources and produces many alternative decisions to the doctor.

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Author information

Authors and Affiliations

  1. VIT University, School of Information Technology and Engineering, Vellore, Tamil Nadu, India

    Gunasekaran Manogaran & Daphne Lopez

  2. Albert Einstein Lab, Infosys Ltd, Hyderabad, India

    Chandu Thota

  3. VIT University, School of Computing Science and Engineering, Chennai, Tamil Nadu, India

    V. Vijayakumar

  4. Department of Population Health Sciences, Virginia Tech, Blacksburg, USA

    Kaja M. Abbas

  5. Priyadarshini Engineering College, Vellore, Tamil Nadu, India

    Revathi Sundarsekar

Authors
  1. Gunasekaran Manogaran
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  2. Chandu Thota
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  3. Daphne Lopez
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  4. V. Vijayakumar
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  5. Kaja M. Abbas
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  6. Revathi Sundarsekar
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Corresponding author

Correspondence to Gunasekaran Manogaran .

Editor information

Editors and Affiliations

  1. U & P U Patel Department of Computer Eng, Charotar University of Science and Tech U & P U Patel Department of Computer Eng, Changa, India

    Chintan Bhatt

  2. Department of Information Technology, Techno India College of Technology Department of Information Technology, Kolkata, India

    Nilanjan Dey

  3. Faculty of Engineering, Tanta University Faculty of Engineering, Tanta, Egypt

    Amira S. Ashour

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Manogaran, G., Thota, C., Lopez, D., Vijayakumar, V., Abbas, K.M., Sundarsekar, R. (2017). Big Data Knowledge System in Healthcare. In: Bhatt, C., Dey, N., Ashour, A. (eds) Internet of Things and Big Data Technologies for Next Generation Healthcare. Studies in Big Data, vol 23. Springer, Cham. https://doi.org/10.1007/978-3-319-49736-5_7

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  • DOI: https://doi.org/10.1007/978-3-319-49736-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49735-8

  • Online ISBN: 978-3-319-49736-5

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