PD19-10 IMPLEMENTATION OF A WEB-BASED, PROCEDURE-SPECIFIC, ROBOTIC TRAINING EXPERIENCE LOG WITH FEEDBACK AND LONGITUDINAL REPORTING FEATURES

Abstract

You have accessJournal of UrologyTechnology & Instruments: Surgical Education & Skills Assessment III1 Apr 2015PD19-10 IMPLEMENTATION OF A WEB-BASED, PROCEDURE-SPECIFIC, ROBOTIC TRAINING EXPERIENCE LOG WITH FEEDBACK AND LONGITUDINAL REPORTING FEATURES Ryan Thorwarth, Marcus Quek, and Gopal Gupta Ryan ThorwarthRyan Thorwarth More articles by this author , Marcus QuekMarcus Quek More articles by this author , and Gopal GuptaGopal Gupta More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2015.02.709AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES The ability to distinguish areas of weakness, receive feedback, and track progress is vital to resident education. It has been shown that residents do not agree with supervising physicians about the frequency and specificity of feedback. Currently, residents are inaccurately logging cases for ACGME as “primary surgeon”, there is no mandated logging of cases at the step-specific level of the procedure, and no integration of feedback. These conditions suggest that the current mechanism of tracking true operative experience and surgical skill progression is inadequate. It was our objective to establish such a tool for surgical training. METHODS We propose a tool to log surgical skill progression, experience, and feedback with four major features: 1) A log of robotic case involvement, with nine common procedures deconstructed to their major steps, and a record of program-specific information 2) A built-in function where the resident may request the supervising attending quantitatively review their performance on four surgical skills, and add short notes 3) A function by which a sample video of the case can be reviewed in a blind fashion 4) Have this be accessible on any device, and be of minimal time burden. RESULTS The web-based app was successfully developed and piloted for 2 months with 6 residents and 5 attendings. A total of 81 cases were logged. A reporting structure was developed where individual residents or administrators could view statistics on several data points including, but not limited to: - Frequency of each procedure done - Resident involvement, step-for-step, for each procedure - Statistics broken down by supervising attending - A summary of scores for the four surgical skills reviewed There was a small time burden on residents (84.2 sec +/- 64.3 per case) and supervisors (122 +/- 100 sec per case requested for review). Insightful, granular, data on resident experience, skill progression, and learning environment was obtained. For instance, 91% of the 33 robotic prostatectomies logged were logged as primary surgeon, yet bladder neck dissection, dropping of the rectum, and transection of the urethra had <25% involvement. CONCLUSIONS In hopes of advancing the granularity and ease with which residents/surgeons track their training, we developed a modern, accessible logging system that is ready for multifaceted use at other institutions. We believe this system will enhance the awareness of residents and program directors about weaknesses in training curricula. © 2015 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 193Issue 4SApril 2015Page: e395-e396 Advertisement Copyright & Permissions© 2015 by American Urological Association Education and Research, Inc.MetricsAuthor Information Ryan Thorwarth More articles by this author Marcus Quek More articles by this author Gopal Gupta More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...

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