Big Data, Big Challenges: A Healthcare Perspective

Background, Issues, Solutions and Research Directions

  • Mowafa Househ
  • Andre W. Kushniruk
  • Elizabeth M. Borycki

Part of the Lecture Notes in Bioengineering book series (LNBE)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Health Professional Perspective

    1. Front Matter
      Pages 1-1
    2. Suzanne Bakken, Theresa A. Koleck
      Pages 3-16
  3. Human Factors and Ethical Perspectives

    1. Front Matter
      Pages 83-83
    2. Elizabeth M. Borycki, Andre W. Kushniruk
      Pages 85-90
    3. Andre W. Kushniruk, Elizabeth M. Borycki
      Pages 91-99
    4. Paulette Lacroix
      Pages 101-111
  4. Technological Perspectives

    1. Front Matter
      Pages 113-113
    2. Luis Fernandez-Luque, Michaël Aupetit, Joao Palotti, Meghna Singh, Ayman Fadlelbari, Abdelkader Baggag et al.
      Pages 115-126
  5. Back Matter
    Pages 143-144

About this book


This is the first book offering a comprehensive, yet concise, view on both the challenges and opportunities related to the use of big data in health care. The different chapters report on different perspectives: from health management to patient safety; from the human factor perspective to the ethical and economic ones, and more. By providing a historical background on the use of big data, and critically analyzing current approaches together with issues and challenges related to their applications, the work presented not only sheds light on the problems of big data, but also paves the way for possible solutions and future research directions. The book offers a useful reference guide to health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, helping them in their decision making processes, as well as to students and academicians learning or dealing with data science related research issues in healthcare.​


Harmful effects of big data Data in public health Big data in patient care Clinical bioinformatics Big data vs epidemiological methods Drug data analysis Wireless medicine Mobile Health

Editors and affiliations

  • Mowafa Househ
    • 1
  • Andre W. Kushniruk
    • 2
  • Elizabeth M. Borycki
    • 3
  1. 1.Division of Information and Computing Technology, College of Science and EngineeringHamad Bin Khalifa University, Qatar FoundationDohaQatar
  2. 2.School of Health Information SciencesUniversity of VictoriaVictoriaCanada
  3. 3.School of Health Information SciencesUniversity of VictoriaVictoriaCanada

Bibliographic information

  • DOI
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Medicine Medicine (R0)
  • Print ISBN 978-3-030-06108-1
  • Online ISBN 978-3-030-06109-8
  • Series Print ISSN 2195-271X
  • Series Online ISSN 2195-2728
  • Buy this book on publisher's site
Industry Sectors
Health & Hospitals
IT & Software