Computer-Enhanced Visual Learning Method to Teach Endoscopic Correction of Vesicoureteral Reflux: An Invitation to Residency Training Programs to Utilize the CEVL Method.

Herein we describe a standardized approach to teach endoscopic injection therapy to repair vesicoureteral reflux utilizing the CEVL method, an internet-accessed platform. The content was developed through collaboration of the authors' clinical and computer expertises. This application provides personnel training, examination, and procedure skill documentation through the use of online text with narration, pictures, and video. There is also included feedback and remediation of skill performance and teaching "games." We propose that such standardized teaching and procedure performance will ultimate in improved surgical results. The electronic nature of communication in this journal is ideal to rapidly disseminate this information and to develop a structure for collaborative research.

Effectiveness of the computer enhanced visual learning method in teaching the society for fetal urology hydronephrosis grading system for urology trainees.

OBJECTIVE: 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. METHODS: 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. RESULTS: 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). CONCLUSION: 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.