Educational/Faculty development material
-
Radiotorax.es: a web-based tool for formative self-assessment in chest X-ray interpretation
-
Verónica Illescas-Megías
, Jorge Manuel Maqueda-Pérez
, Dolores Domínguez-Pinos
, Teodoro Rudolphi Solero
, Francisco Sendra-Portero
-
J Educ Eval Health Prof. 2025;22:17. Published online June 9, 2025
-
DOI: https://doi.org/10.3352/jeehp.2025.22.17
-
-
Abstract
PDF
Supplementary Material
- Radiotorax.es is a free, non-profit web-based tool designed to support formative self-assessment in chest X-ray interpretation. This article presents its structure, educational applications, and usage data from 11 years of continuous operation. Users complete interpretation rounds of 20 clinical cases, compare their reports with expert evaluations, and conduct a structured self-assessment. From 2011 to 2022, 14,389 users registered, and 7,726 completed at least one session. Most were medical students (75.8%), followed by residents (15.2%) and practicing physicians (9.0%). The platform has been integrated into undergraduate medical curricula and used in various educational contexts, including tutorials, peer and expert review, and longitudinal tracking. Its flexible design supports self-directed learning, instructor-guided use, and multicenter research. As a freely accessible resource based on real clinical cases, Radiotorax.es provides a scalable, realistic, and well-received training environment that promotes diagnostic skill development, reflection, and educational innovation in radiology education.
Research article
-
Evaluation of a virtual objective structured clinical examination in the metaverse (Second Life) to assess the clinical skills in emergency radiology of medical students in Spain: a cross-sectional study
-
Alba Virtudes Perez-Baena
, Teodoro Rudolphi-Solero
, Rocio Lorenzo-Alvarez
, Dolores Dominguez-Pinos
, Miguel Jose Ruiz-Gomez
, Francisco Sendra-Portero
-
J Educ Eval Health Prof. 2025;22:12. Published online April 21, 2025
-
DOI: https://doi.org/10.3352/jeehp.2025.22.12
-
-
3,630
View
-
260
Download
-
1
Crossref
-
Abstract
PDF
Supplementary Material
- Purpose
The objective structured clinical examination (OSCE) is an effective but resource-intensive tool for assessing clinical competence. This study hypothesized that implementing a virtual OSCE in the Second Life (SL) platform in the metaverse as a cost-effective alternative will effectively assess and enhance clinical skills in emergency radiology while being feasible and well-received. The aim was to evaluate a virtual radiology OSCE in SL as a formative assessment, focusing on feasibility, educational impact, and students’ perceptions.
Methods
Two virtual 6-station OSCE rooms dedicated to emergency radiology were developed in SL. Sixth-year medical students completed the OSCE during a 1-hour session in 2022–2023, followed by feedback including a correction checklist, individual scores, and group comparisons. Students completed a questionnaire with Likert-scale questions, a 10-point rating, and open-ended comments. Quantitative data were analyzed using the Student t-test and the Mann-Whitney U test, and qualitative data through thematic analysis.
Results
In total, 163 students participated, achieving mean scores of 5.1±1.4 and 4.9±1.3 (out of 10) in the 2 virtual OSCE rooms, respectively (P=0.287). One hundred seventeen students evaluated the OSCE, praising the teaching staff (9.3±1.0), project organization (8.8±1.2), OSCE environment (8.7±1.5), training usefulness (8.6±1.5), and formative self-assessment (8.5±1.4). Likert-scale questions and students’ open-ended comments highlighted the virtual environment’s attractiveness, case selection, self-evaluation usefulness, project excellence, and training impact. Technical difficulties were reported by 13 students (8%).
Conclusion
This study demonstrated the feasibility of incorporating formative OSCEs in SL as a useful teaching tool for undergraduate radiology education, which was cost-effective and highly valued by students.
-
Citations
Citations to this article as recorded by

- Effectiveness of VR and traditional training in medical education for mass casualty management: an OSCE-based randomized controlled trial
Zhe Li, Wan Chen, Guozheng Qiu, Lei Shi, Yutao Tang, Xibin Xu, Sanshan Zhu, Liwen Lyu
BMC Medical Education.2026;[Epub] CrossRef