rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Big Data, Big Challenges: A Healthcare Perspective
    sub title: Background, Issues, Solutions and Research Directions
  name:
    name part: Househ, Mowafa.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Kushniruk, Andre W.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Borycki, Elizabeth M.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 144 p. online resource.
  abstract: 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.
  note: edited by Mowafa Househ, Andre W. Kushniruk, Elizabeth M. Borycki.
  subject:
    topic: Health informatics
  subject:
    topic: Biomedical engineering
  subject:
    topic: Social service
  subject:
    topic: Health administration
  subject:
    topic: Bioethics
  subject:
    topic: Big data
  subject:
    topic: Health Informatics
  subject:
    topic: Biomedical Engineering and Bioengineering
  subject:
    topic: Social Care
  subject:
    topic: Health Administration
  subject:
    topic: Bioethics
  subject:
    topic: Big Data/Analytics
  classification: R858-859.7
  classification: 502.85
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Bioengineering
  identifier: 9783030061098
  identifier: https://doi.org/10.1007/978-3-030-06109-8
  record info:
    record creation date: 190226
    record change date: 20191021202730.0
    record identifier: 978-3-030-06109-8