282597 20260105130508.0 pmc:PMC12686237 pmc 10.1186/s13244-025-02135-x doi pmid:41359302 pmid DZNE-2025-01355 English 610 Molwitz, Isabel 0000-0003-4542-0140 0 Longitudinal evaluation of RADUCATION: a digital learning environment for the radiology residency structured to a competency-based curriculum by the German Young Radiology Forum. Heidelberg 2025 Springer article DRIVER Output Types/Journal article DataCite Journal Article journal journal PUB:(DE-HGF)16 1765354018_2465 PUB:(DE-HGF) ARTICLE BibTeX JOURNAL_ARTICLE ORCID Journal Article 0 EndNote RADUCATION - a digital platform for radiological postgraduate training by the German Young Radiology Forum - provides learning content structured according to the German Training Curriculum, including original board exam questions. This is the first study to evaluate user statistics, experience, and preferences.Data were collected through webpage analytics and surveys. User statistics were analyzed for four periods: initial usage (05/2022-05/2023), post-introduction of theoretical board exam questions (05-11/2023), post-introduction of image-based board exam questions (12/2023-05/2024), and ongoing usage (03-12/2024). User perception surveys were conducted before (05/2023-01/2024) and after (06-08/2024) implementation of image-based board exam questions. Analyses included descriptive statistics and multivariable logistic regressions.User numbers increased steadily, with board exam questions becoming the most accessed feature. Mean monthly active user numbers increased from 372 between 05/2022-05/2023 (total users 4468), to 613 between 03/2024-12/2024 (total 15,828). Survey respondents (n = 243) consistently rated RADUCATION as valuable for board exam preparation (88.6%), for night/weekend shifts (75.6%), and for clinical routine (73.4%). Board exam preparation was more beneficial for 4th/5th-year residents (odds ratio (OR) 1.35 (95% confidence interval (95% CI): 1.15-1.59)), while shift preparation was less critical for senior than for junior residents (OR 0.77 (95% CI: 0.59-0.99)). Video- and image-based learning content were preferred, with users rating the platform highly user-friendly (86.0%) and clearly structured (88.0%).RADUCATION is a valuable, widely used digital learning tool for radiology residents. Board exam questions substantially increased engagement. Its structured, peer-developed design offers a scalable model for digital postgraduate medical education across specialties and countries.This is the first comprehensive evaluation of RADUCATION, a peer-developed, competency-based digital learning platform for the radiology residency. Integrating original board exam questions significantly increases engagement and perceived educational value, offering a scalable model for modern postgraduate medical education.RADUCATION, a peer-developed, competency-based learning platform for radiology residents, is a highly valued, scalable model for postgraduate medical training. Users prefer video- and image-based content, while engagement and perceived educational value increase when integrating original board exam questions. RADUCATION is perceived as user-friendly and well-structured, and is considered particularly valuable for exam preparation by senior residents. 353 - Clinical and Health Care Research (POF4-353) G:(DE-HGF)POF4-353 POF4-353 POF IV 0 Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de Curriculum Other Education (medical) Other Internship and residency Other Radiology Other Training support Other Stahlmann, Katharina 1 Kolb, Manuel 2 Feiler, Marian 3 Bayerl, Nadine 4 Kuennemann, Marc 5 Mankertz, Fiona 6 Ristow, Inka 7 Adam, Gerhard 8 Wichtmann, Barbara Daria P:(DE-2719)9003380 9 dzne Rischen, Robert 10 Frisch, Anne 0009-0009-7957-4544 11 10.1186/s13244-025-02135-x Vol. 16, no. 1, p. 274 PERI:(DE-600)2543323-4 1 274 Insights into imaging 16 2025 1869-4101 OpenAccess http://pub.dzne.de/record/282597/files/DZNE-2025-01355.pdf OpenAccess pdfa http://pub.dzne.de/record/282597/files/DZNE-2025-01355.pdf?subformat=pdfa oai:pub.dzne.de:282597 openaire open_access VDB driver dnbdelivery Deutsches Zentrum für Neurodegenerative Erkrankungen I:(DE-588)1065079516 DZNE 9 P:(DE-2719)9003380 DE-HGF Gesundheit Neurodegenerative Diseases G:(DE-HGF)POF4-350 G:(DE-HGF)POF4-353 G:(DE-HGF)POF4 G:(DE-HGF)POF4-300 G:(DE-HGF)POF Clinical and Health Care Research 0 2025 DBCoverage StatID:(DE-HGF)0200 StatID SCOPUS 2025-01-01 DBCoverage StatID:(DE-HGF)0160 StatID Essential Science Indicators 2025-01-01 Creative Commons Attribution CC BY 4.0 LIC:(DE-HGF)CCBY4 HGFVOC DBCoverage StatID:(DE-HGF)0600 StatID Ebsco Academic Search 2025-01-01 JCR StatID:(DE-HGF)0100 StatID INSIGHTS IMAGING : 2022 2025-01-01 DBCoverage StatID:(DE-HGF)0501 StatID DOAJ Seal 2024-04-10T15:40:08Z DBCoverage StatID:(DE-HGF)0500 StatID DOAJ 2024-04-10T15:40:08Z WoS StatID:(DE-HGF)0113 StatID Science Citation Index Expanded 2025-01-01 Fees StatID:(DE-HGF)0700 StatID 2025-01-01 DBCoverage StatID:(DE-HGF)0150 StatID Web of Science Core Collection 2025-01-01 IF < 5 StatID:(DE-HGF)9900 StatID 2025-01-01 OpenAccess StatID:(DE-HGF)0510 StatID Peer Review StatID:(DE-HGF)0030 StatID ASC 2025-01-01 Article Processing Charges StatID:(DE-HGF)0561 StatID 2025-01-01 DBCoverage StatID:(DE-HGF)0300 StatID Medline 2025-01-01 DBCoverage StatID:(DE-HGF)1110 StatID Current Contents - Clinical Medicine 2025-01-01 DBCoverage StatID:(DE-HGF)0199 StatID Clarivate Analytics Master Journal List 2025-01-01 I:(DE-2719)5000075 AG Radbruch Clinical Neuroimaging 0 journal VDB UNRESTRICTED I:(DE-2719)5000075 FullTexts