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: Analytics in Healthcare
    sub title: A Practical Introduction
  name:
    name part: El Morr, Christo.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Ali-Hassan, Hossam.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  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: XI, 105 p. 62 illus., 48 illus. in color. online resource.
  abstract: This book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. It presents the basics of data, analytics and tools and includes multiple examples of their applications in the field. The book also identifies practical challenges that fuel the need for analytics in healthcare as well as the solutions to address these problems. In the healthcare field, professionals have access to vast amount of data in the form of staff records, electronic patient record, clinical findings, diagnosis, prescription drug, medical imaging procedure, mobile health, resources available, etc. Managing the data and analyzing it to properly understand it and use it to make well-informed decisions can be a challenge for managers and health care professionals. A new generation of applications, sometimes referred to as end-user analytics or self-serve analytics, are specifically designed for non-technical users such as managers and business professionals. The ability to use these increasingly accessible tools with the abundant data requires a basic understanding of the core concepts of data, analytics, and interpretation of outcomes. This book is a resource for such individuals to demystify and learn the basics of data management and analytics for healthcare, while also looking towards future directions in the field.
  table of contents: Chapter 1. Healthcare and Business Intelligence -- Chapter 2. Analytics: The Building Blocks -- Chapter 3. Descriptive, Predictive and Prescriptive Analytics -- Chapter 4. Healthcare Analytics Applications -- Chapter 5. Data Visualization -- Chapter 6. Future Directions -- Appendix A: Which Analytics to Choose: A Guideline.
  note: by Christo El Morr, Hossam Ali-Hassan.
  subject:
    topic: Health care management
  subject:
    topic: Health services administration
  subject:
    topic: Big data
  subject:
    topic: Health informatics
  subject:
    topic: Health Care Management
  subject:
    topic: Big Data/Analytics
  subject:
    topic: Health Informatics
  classification: RA971.3-971.32
  classification: 362.10681
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Health Care Management and Economics
  identifier: 9783030045067
  identifier: https://doi.org/10.1007/978-3-030-04506-7
  record info:
    record creation date: 190121
    record change date: 20191028201928.0
    record identifier: 978-3-030-04506-7