ArticleJMIR medical education2024
Knowledge Transfer and Networking Upon Implementation of a Transdisciplinary Digital Health Curriculum in a Unique Digital Health Training Culture: Prospective Analysis.
Article in JMIR medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Teledentistry Applied to Health and Education Outcomes: Evidence Gap Map.Journal of medical Internet research · 2024Pooled it
- Global Trends in the Use of Artificial Intelligence in Dental Education: A Bibliometric Analysis.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026Article
- Development of a master of science in digital health program at Muhimbili University of Health and Allied Sciences, Tanzania: a mixed-methods curriculum development study.Frontiers in public health · 2026Article
- [Is the application of digital technologies the game changer for surgical training of the future? A Germany-wide analysis].Chirurgie (Heidelberg, Germany) · 2025Article
- Who takes the lead in oral surgery simulation? Students' perceptions and practical skills towards virtual reality and phantom model training: a comparative study.Innovative surgical sciences · 2025Article
- Impact of a "Digital Health" Curriculum on Students' Perception About Competence and Relevance of Digital Health Topics for Future Professional Challenges: Prospective Pilot Study.JMIR formative research · 2025Article
- Opportunities and challenges of integrating digital health into medical education curricula: A scoping review.Research square · 2025Article
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Authors and funding
4 authors.
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Abstract
Background: Digital health has been taught at medical faculties for a few years. However, in general, the teaching of digital competencies in medical education and training is still underrepresented. Objective: This study aims to analyze the objective acquisition of digital competencies through the implementation of a transdisciplinary digital health curriculum as a compulsory elective subject at a German university. The main subject areas of digital leadership and management, digital learning and didactics, digital communication, robotics, and generative artificial intelligence were developed and taught in a transdisciplinary manner over a period of 1 semester. Methods: The participants evaluated the relevant content of the curriculum regarding the competencies already taught in advance during the study, using a Likert scale. The participants' increase in digital competencies were examined with a pre-post test consisting of 12 questions. Statistical analysis was performed using an unpaired 2-tailed Student t test. A P value of <.05 was considered statistically significant. Furthermore, an analysis of the acceptance of the transdisciplinary approach as well as the application of an alternative examination method (term paper instead of a test with closed and open questions) was carried out. Results: In the first year after the introduction of the compulsory elective subject, students of human medicine (n=15), dentistry (n=3), and medical biotechnology (n=2) participated in the curriculum. In total, 13 participants were women (7 men), and 61.1% (n=11) of the participants in human medicine and dentistry were in the preclinical study stage (clinical: n=7, 38.9%). All the aforementioned learning objectives were largely absent in all study sections (preclinical: mean 4.2; clinical: mean 4.4; P=.02). The pre-post test comparison revealed a significant increase of 106% in knowledge (P<.001) among the participants. Conclusions: The transdisciplinary teaching of a digital health curriculum, including digital teaching methods, considers perspectives and skills from different disciplines. Our new curriculum facilitates an objective increase in knowledge regarding the complex challenges of the digital transformation of our health care system. Of the 16 student term papers arising from the course, robotics and artificial intelligence attracted the most interest, accounting for 9 of the submissions.
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