A Taxonomy and Archetypes of AI-Based Health Care Services: Qualitative Study.

Journal: Journal of medical Internet research
Published Date: Nov 27, 2024

Abstract

BACKGROUND: To cope with the enormous burdens placed on health care systems around the world, from the strains and stresses caused by longer life expectancy to the large-scale emergency relief actions required by pandemics like COVID-19, many health care companies have been using artificial intelligence (AI) to adapt their services. Nevertheless, conceptual insights into how AI has been transforming the health care sector are still few and far between. This study aims to provide an overarching structure with which to classify the various real-world phenomena. A clear and comprehensive taxonomy will provide consensus on AI-based health care service offerings and sharpen the view of their adoption in the health care sector.

Authors

  • Marlene Blaß
    FIM Research Center for Information Management, University of Hohenheim, Branch Business & Information Systems Engineering of the Fraunhofer FIT, Stuttgart, Germany.
  • Henner Gimpel
    FIM Research Center for Information Management, University of Hohenheim, Branch Business & Information Systems Engineering of the Fraunhofer FIT, Stuttgart, Germany.
  • Philip Karnebogen
    FIM Research Center for Information Management, Branch Business & Information Systems Engineering of the Fraunhofer FIT, University of Applied Sciences Augsburg, Augsburg, Germany.

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