ArticleAnnals of medicine2025
Digital learning strategies in residency education.
Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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
4 citing papers in PubMed.
- Bridging the gap: using an asynchronous e-Learning module to improve internal medicine residents' confidence and preparedness in ambulatory blood pressure monitoring interpretation.BMC medical education · 2026Article
- Digital health literacy in medical education: a scoping review of current challenges and development strategies.BMC medical education · 2026Article
- Bridging Digital Learning Competence and Academic Achievement: The Roles of Informal Digital Learning and Metacognitive Self-Regulation.Journal of Intelligence · 2026Article
- Digital Learning Tools in Postgraduate Family Medicine Training: A Scoping Review.Family medicine · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNew digital learning environments have transformed medical education and training, allowing students and teachers to engage in synchronous, real-time interactions and asynchronous learning activities online. Despite extensive research on the role of digital technologies in education, understanding the interplay between digital technology, work, and learning, especially in complex fields like healthcare, remains a challenge.
objectiveThe objective of this study is to examine resident physicians' perceptions and experiences of using a digital learning environment as part of their specialist medical training. The paper focuses on digital learning through video conferencing (virtual lectures and seminars) and related learning technologies. It aims to understand how resident physicians perceive pedagogical opportunities and challenges in digital learning environments during their medical training and what strategies they use to address these. MATERIALS AND
methodsThe methodological approach is qualitative, aiming to capture and understand participants' experiences and views of digital learning. The empirical data gathered from open-ended responses to four course evaluation surveys and semi-structured interviews with nine physicians from a cohort of participants enrolled in two or more digital courses were analyzed through thematic analysis. The analysis revealed three main themes related to digital transformation of learning: sociotechnical, educational and administrative.
resultsThe results suggest that (i) sociotechnical aspects and understanding of the context in which the learning takes place contribute to enhancing digital learning for resident physicians; (ii) insights into participants' perceptions of digital learning emphasize that interactive communication and group discussions are significant for their learning, and (iii) administrative aspects related to course design, lecture management, and instructional support are more important in digital learning environments compared to traditional teaching and learning.
conclusionFindings from this study confirm and extend prior studies on digital learning in healthcare, contributing to a better understanding of how digital learning environments, especially virtual lectures and seminars, can be developed and integrated into residency programs and health professions education to increase their usefulness.
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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.