ArticleScientific reports2025
Potential of digital technologies in counteracting long-standing deficits in hemodialysis machine training.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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11 authors.
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Abstract
Before medical professionals are permitted to use a medical device, they first must be instructed in its use. However, it is well known that this method is hazardous for both the staff and the patients due to its inadequate quality. In order to address this problem, we investigated the potential of digital technologies for enhancing medical device training. For this, we designed and implemented several diverse training methods: (1) conventional training by a medical instructor, (2) video-based training, (3) mobile application training on a tablet, (4) virtual reality training, and (5) augmented reality training. Since each method provides identical training content to the user, we compared the resulting learning outcomes between the methods. The findings indicate that virtual and augmented reality training is superior to conventional training. These digital technologies offer the opportunity to reduce the burden on healthcare professionals and increase patient safety.
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