ArticleHNO2024
[Digital competencies in medical studies: results of an interdisciplinary course].
Article in HNO, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Development of AI competencies within the medical curriculum.Frontiers in medicine · 2026Pooled it
- Requirements and attitudes toward eHealth content in human medicine studies: A cross-sectional study to improve the curriculum.German medical science : GMS e-journal · 2026Article
- Enhancing Digital Health Awareness and mHealth Competencies in Medical Education: Proof-of-Concept Study and Summative Process Evaluation of a Quality Improvement Project.JMIR medical education · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDigital medicine has become increasingly important, especially with the growing use of artificial intelligence (AI) and telemedicine. The COVID 19 pandemic has accelerated this trend and emphasized the need for digital competencies in healthcare. However, digital competencies have been insufficiently taught in medical school to date.
objectiveThe introduction of an elective course in digital competencies in medicine fills a curricular gap at the Medical Faculty of the University of Freiburg.
methodsThe elective course was developed by an interdisciplinary working group and includes seven modules on topics such as e‑health, telemedicine, AI, hospital information systems, and data literacy. Each module consists of a preparatory self-study unit, a theoretical part, and a practical part. An evaluation was conducted to assess the effectiveness of the elective.
resultsSix students participated in the elective course in the summer semester of 2022. The evaluation shows that the goals of the course were achieved. The participants were able to acquire theoretical knowledge and deepen it through practical exercises.
conclusionThe interdisciplinary design of the course promotes exchange between students and teachers and creates synergies. The modular format of the course also allows for current topics, such as generative AI, to be addressed. In order to promote digital competencies among all students of human medicine, it is necessary to integrate the topics into the mandatory curriculum.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.