ChatGPT-4 Performance on German Continuing Medical Education-Friend or Foe (Trick or Treat)? Protocol for a Randomized Controlled Trial.

Journal: JMIR research protocols
PMID: 39913914

Abstract

BACKGROUND: The increasing development and spread of artificial and assistive intelligence is opening up new areas of application not only in applied medicine but also in related fields such as continuing medical education (CME), which is part of the mandatory training program for medical doctors in Germany. This study aimed to determine whether medical laypersons can successfully conduct training courses specifically for physicians with the help of a large language model (LLM) such as ChatGPT-4. This study aims to qualitatively and quantitatively investigate the impact of using artificial intelligence (AI; specifically ChatGPT) on the acquisition of credit points in German postgraduate medical education.

Authors

  • Christian Burisch
    State of North Rhine-Westphalia, Regional Government Düsseldorf, Leibniz-Gymnasium, Essen, Germany.
  • Abhav Bellary
    Faculty of Health, Witten/Herdecke University, Witten, Germany.
  • Frank Breuckmann
    Department of Cardiology and Vascular Medicine, West German Heart and Vascular Center Essen, University Duisburg-Essen, Essen, Germany.
  • Jan Ehlers
    Department of Didactics and Education Research in the Health Sector, Faculty of Health, Witten/Herdecke University, Witten, Germany.
  • Serge C Thal
    Department of Anesthesiology, HELIOS University Hospital, Wuppertal, Germany.
  • Timur Sellmann
    Department of Anesthesiology and Intensive Care Medicine, Evangelisches Krankenhaus Bethesda, Duisburg, Germany.
  • Daniel Gödde
    Department of Pathology and Molecularpathology, Helios University Hospital Wuppertal, Witten/Herdecke University, Witten, Germany.

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