Perceived Trust and Professional Identity Threat in AI-Based Clinical Decision Support Systems: Scenario-Based Experimental Study on AI Process Design Features.

Journal: JMIR formative research
PMID: 40138691

Abstract

BACKGROUND: Artificial intelligence (AI)-based systems in medicine like clinical decision support systems (CDSSs) have shown promising results in health care, sometimes outperforming human specialists. However, the integration of AI may challenge medical professionals' identities and lead to limited trust in technology, resulting in health care professionals rejecting AI-based systems.

Authors

  • Sophia Ackerhans
    Kiel Institute of Responsible Innovation, University of Kiel, Kiel, Germany.
  • Kai Wehkamp
    Department of Internal Medicine I, University Medical Center Schleswig-Holstein, Campus Lübeck, Kiel, Germany; Department for Medical Management, MSH Medical School Hamburg, Hamburg, Germany; Institute of Medical Informatics and Statistics, Christian-Albrechts-University of Kiel, University Medical Center Schleswig-Holstein Campus Kiel, Germany; Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, University Medical Center Schleswig-Holstein Campus Kiel, Germany.
  • Rainer Petzina
    Medical School Hamburg, Hamburg, Germany.
  • Daniel Dumitrescu
    Clinic for General and Interventional Cardiology/Angiology, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University Bochum, Medical Faculty OWL (University Bielefeld), Bad Oeynhausen, Germany.
  • Carsten Schultz
    Lehrstuhl für Technologiemanagement, Christian-Albrechts-Universität zu Kiel, Kiel, Deutschland.

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