Objectives There is no standardised and up‐to‐date education model for urology residents in our country. We aimed to describe our National E‐learning education model for urology residents. Methodology The ERTP working group; consisting of urologists was established by the Society of Urological Surgery to create E‐learning model and curriculum in April 2018. Learning objectives were set up in order to determine and standardise the contents of the presentations. In accordance with the Bloom Taxonomy, 834 learning objectives were created for a total of 90 lectures (18 lectures for each PGY year). Totally 90 videos were shot by specialised instructors and webcasts were prepared. Webcasts were posted at uropedia.com.tr, which is the web library of the Society of Urological Surgery. The satisfaction of residents and instructors was evaluated with feedbacks. An assessment of knowledge was measured with the multiple‐choice exam. Results A total of 43 centres and 250 urology residents were included in ERTP during the academic year 2018/2019. There were 93/55/43/34/25 urology residents at 1st/2nd/3rd/4th and 5th year of residency, respectively. Majority of the residents (99.1%) completed the ERTP. The overall satisfaction rate of residents and instructors were 4.29 and 4.67 (min: 1 so bad, max: 5 so good). An assessment exam was performed to urology residents at the end of the ERTP and the mean score was calculated as 57.99 points (min: 20, max: 82). Conclusion As a result of the COVID‐19 pandemic, most of the educational programmes had to move online platforms. We used this reliable and easily accessible e‐learning platform for the standardisation of training in urology on national basis. We aim to share this model with international residency training programmes.

Objectives: There is no standardized and up-to-date education model for urology residents in our country. We aimed to describe our National E learning education model for urology residents. Methodology: The ERTP working group; consisting of urologists was established by Society of Urological Surgery to create E-learning model and curriculum at April 2018. Learning objectives were set up in order to determine and standardize the contents of the presentations. In accordance with the Bloom Taxonomy, 834 learning objectives were created for a total of 90 lectures (18 lectures for each PGY year). Totally 90 videos were shoot by specialized instructors and webcasts were prepared. Webcasts were posted at uropedia.com.tr, which is the web library of Society of Urological Surgery. Satisfaction of residents and instructors was evaluated with feedbacks. An assessment of knowledge was measured with multiple-choice exam. Results: A total of 43 centers and 250 urology residents were included in ERTP during the academic year 2018/2019. There were 93/38/43/34/25 urology residents at 1st/2nd/3rd/4th and 5th year of residency, respectively. Majority of the residents (99.1%) completed the ERTP. The overall satisfaction rate of residents and instructors were 4,29 and 4,67(min:1 so bad, max:5 so good). An assessment exam was performed to urology residents at the end of the ERTP and the mean score was calculated as 57.99 points (min:20, max:82). Conclusion: Due to the Covid-19 pandemic, most of the educational programs had to move online platforms. We used this reliable and easily accessible e-learning platform for standardization of training in urology on national basis. We aim to share this model with international residency training programs. Easily accessible, up-to-date and standardized training model in Urology: E-Learning Residency training program (ERTP).

model, which was more pronounced in cases with a high RENAL score (Fig 1a). Greater consensus on the planned procedure was observed between the fellow and a senior surgeon when the IRIS 3D model was used (48.3% agreement with CT alone and 84% with IRIS -Fig 1b). In 99% of the reviews, surgeons rated that the IRIS 3D model accurately represented the anatomical details of all kidney components.CONCLUSIONS: Using the IRIS 3D model for preoperative planning offered a better spatial orientation of patient's anatomy, which in turn increased surgeon confidence in completing the planned procedure compared to 2D CT alone. This software tool has a potential to reduce variation in preoperative planning among surgeons.