Artificial Intelligence Competencies in Postgraduate Medical Training in Germany.

Journal: Studies in health technology and informatics
PMID: 35612209

Abstract

Routine medical care is to be transformed by the introduction of artificial intelligence (AI), requiring medical professionals to acquire a novel set of skills. We assessed the density of AI learning objectives and the availability of courses containing AI content in postgraduate medical education in Germany. The results reveal general paucity in AI learning objectives and content across (sub-)specialty training and continuing medical education (CME) in Germany. Innovative and regulatory solutions are needed to herald an era of physicians competent in navigating medical AI applications.

Authors

  • Louis Agha-Mir-Salim
    Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany.
  • Lina Mosch
    Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany.
  • Sophie A I Klopfenstein
    Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany.
  • Maximilian M Wunderlich
    Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany.
  • Nicolas Frey
    Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany.
  • Akira-Sebastian Poncette
    Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany.
  • Felix Balzer
    Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charitéplatz 1, 10117, Berlin, Germany.

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