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A concept for adapting medical education to the next generations via three-staged digital peer teaching key feature cases.

Paul SupperDamaris UrbanIris AckerFlorian Simon LinkePatric KienastAndrea PraschingerAnahit Anvari-Pirsch
Published in: Wiener medizinische Wochenschrift (1946) (2022)
While the core principles of medical education remain the same, the students' socioecological backgrounds, values and learning requirements are constantly changing. Bridging the generation gap between teachers and students is a key challenge of medical didactics. To meet the demands of today's classroom, we piloted a novel three-stage peer teaching and key feature concept. First, an on-demand key feature video case was presented. Second a background video was launched, followed by a self-assessment tool. Third, a live case discussion webinar focusing on clinical reasoning was held. The contents were created by near-peers experienced in medical didactics and checked by clinical experts. The elective format resonated with 652 participating graduate students and 1250 interactions per webinar, suggesting that students' strengths and weaknesses were addressed adequately. We aim to provide educators with input for creating a flexible and integrative learning environment utilising modern technological and didactic tools that shape the healthcare workers of tomorrow.
Keyphrases
  • medical education
  • high school
  • machine learning
  • healthcare
  • deep learning
  • patients undergoing
  • neural network