Problems and Barriers Related to the Use of AI-Based Clinical Decision Support Systems: Interview Study.

Journal: Journal of medical Internet research
PMID: 39899342

Abstract

BACKGROUND: Digitalization is currently revolutionizing health care worldwide. A promising technology in this context is artificial intelligence (AI). The application of AI can support health care providers in their daily work in various ways. The integration of AI is particularly promising in clinical decision support systems (CDSSs). While the opportunities of this technology are numerous, the problems should not be overlooked.

Authors

  • Godwin Denk Giebel
    Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany.
  • Pascal Raszke
    Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany.
  • Hartmuth Nowak
    Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Knappschaftskrankenhaus, Bochum, Ruhr-University Bochum, In der Schornau 23-25, 44892, Bochum, Germany.
  • Lars Palmowski
    Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum GmbH, Bochum, Germany.
  • Michael Adamzik
    Klinik für Anästhesiologie, Intensivmedizin und Schmerztherapie, Universitätsklinikum Knappschaftskrankenhaus Bochum GmbH, Bochum, Germany.
  • Philipp Heinz
    Knappschaft Kliniken GmbH, Recklinghausen, Germany.
  • Marianne Tokic
    Department of Medical Informatics, Biometry and Epidemiology, Ruhr University Bochum, Bochum, Germany.
  • Nina Timmesfeld
    Department of Medical Informatics, Biometry and Epidemiology, Ruhr University Bochum, Bochum, Germany.
  • Frank Brunkhorst
    German Sepsis Society, Jena, Germany.
  • Jürgen Wasem
    Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany.
  • Nikola Blase
    Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany.

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