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Knowledge Transfer and Networking Upon Implementation of a Transdisciplinary Digital Health Curriculum in a Unique
Juliane Kröplin1, Leonie Maier1, Jan-Hendrik Lenz1,2
1Department of Oral and Maxillofacial Surgery, University Medical Centre Rostock, Rostock, Germany.
This study implemented a transdisciplinary digital health curriculum, significantly increasing medical students' digital competencies by 106%. The innovative approach enhanced knowledge in areas like robotics and artificial intelligence.
Area of Science:
- Medical Education
- Digital Health
- Curriculum Development
Background:
- Digital health education is currently underrepresented in medical faculties.
- A gap exists in the formal teaching of digital competencies within medical training.
- Existing digital health curricula often lack a transdisciplinary approach.
Purpose of the Study:
- To analyze the objective acquisition of digital competencies through a novel transdisciplinary curriculum.
- To implement and evaluate a compulsory elective subject in digital health at a German university.
- To assess the impact of digital leadership, AI, robotics, and digital communication on medical students' skills.
Main Methods:
- A transdisciplinary digital health curriculum was developed and taught over one semester.
- Participants completed a Likert scale evaluation and a 12-question pre-post knowledge test.
- Statistical analysis included an unpaired 2-tailed Student t test (P<.05 significance).
Main Results:
- The curriculum was implemented with 20 students across human medicine, dentistry, and medical biotechnology.
- A significant 106% increase in participants' digital knowledge was observed (P<.001).
- Learning objectives were initially low across preclinical and clinical stages (P=.02).
Conclusions:
- Transdisciplinary digital health curricula effectively increase objective knowledge in medical students.
- The curriculum addresses complex challenges in the digital transformation of healthcare.
- Robotics and artificial intelligence were the most engaging topics, indicated by student term paper submissions.
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