Division of Urology, Children's Memorial Hospital, Chicago, IL 60614, USA.
J Pediatr Urol. 2011 Apr;7(2):113-7. doi: 10.1016/j.jpurol.2010.09.009. Epub 2010 Nov 20.
A novel educational tool, Computer Enhanced Visual Learning (CEVL), has been used to improve resident performance of routine orchiopexy. Our objective was to assess the effect of a CEVL teaching module on the diagnostic accuracy of medical trainees in grading neonatal hydronephrosis on ultrasound using the Society for Fetal Urology (SFU) grading system.
The authors designed an online-based computerized tutorial to teach the grading of hydronephrosis using multimedia, practice cases and a grading checklist. In a crossover design trial, 29 residents and medical students were asked to grade 16 standard neonatal renal ultrasounds using the SFU grading system before and after viewing the web-based e-learning module. Primary outcome was percent improvement in grading accuracy.
The mean percentages of ultrasounds that were graded correctly before and after CEVL intervention were 51% and 72% respectively (mean improvement 21%, 95% CI 3-13%, P < 0.001). Residents graded correctly 56% of ultrasounds before and 74% after CEVL (mean 18%, 7-28%, P = 0.002). Medical students graded correctly 37% before and 69% after CEVL (mean improvement 32%, 95% CI 16-48%, P = 0.002).
Exposure to a computer-based learning module based on the CEVL platform improved urology residents' and medical students' correct assignment of SFU hydronephrosis grading to newborn renal ultrasounds.
一种新的教育工具，计算机增强视觉学习（CEVL），已被用于提高住院医师对常规睾丸固定术的表现。我们的目的是评估 CEVL 教学模块对使用胎儿泌尿学会（SFU）分级系统对新生儿肾积水超声分级的医学实习生诊断准确性的影响。
作者设计了一个基于在线的计算机化教程，使用多媒体、实践病例和分级检查表来教授肾积水分级。在一项交叉设计试验中，29 名住院医师和医学生在观看基于网络的电子学习模块前后，使用 SFU 分级系统对 16 例标准新生儿肾脏超声进行分级。主要结果是分级准确性的百分比提高。
CEVL 干预前后正确分级的超声平均百分比分别为 51%和 72%（平均提高 21%，95%CI 3-13%，P<0.001）。住院医师在 CEVL 前正确分级 56%的超声，CEVL 后正确分级 74%（平均提高 18%，7-28%，P=0.002）。医学生在 CEVL 前正确分级 37%的超声，CEVL 后正确分级 69%（平均提高 32%，95%CI 16-48%，P=0.002）。
接触基于 CEVL 平台的计算机学习模块提高了泌尿科住院医师和医学生对新生儿肾脏超声 SFU 肾积水分级的正确分配。
