View clinical trials related to Surgical Education.
Filter by:Surgical telementoring (ST) has the potential to become an integrated part of everyday surgical teaching practice. Its educational benefits require investigation. This is a randomized controlled trial evaluating ST in a clinical setting. Laparoscopic cholecystectomy will be performed by eligible surgical residents randomized to the intervention group or the control group. The control group being guided by traditional onsite mentoring and the intervention group being telementored by a distantly located telementor during ongoing procedure. The primary outcome will be the video recorded GOALS-score (Global Operative Assessment of Laparoscopic Skills) and NOTSS-score (Non Technical Surgical Skills) assessment of each procedure while secondary outcomes will be satisfaction scores of the involved residents and mentors.
At the Neurosurgical Simulation and Artificial Intelligence Learning Centre, we seek to provide surgical trainees with innovative technologies that allow them to improve their surgical technical skills in risk-free environments, potentially improving patient operative outcomes. The Intelligent Continuous Expertise Monitoring System (ICEMS), a deep learning application that assesses and trains neurosurgical technical skill and provides continuous intraoperative feedback, is one such technology that may improve surgical education. In this randomized controlled trial, medical students from four Quebec universities will be blinded and randomized to one of three groups (one control and two experimental). Group 1 (control) will be provided with verbal AI tutor feedback based on the ICEMS error detection. Group 2 will be tutored by a human instructor who will receive ICEMS error data and deliver verbal instruction identical to that which the AI tutor delivers. Group 3 will be tutored by a human instructor who will be provided with ICEMS data but may deliver feedback as they feel is appropriate to correct the error. The aim of this study is to determine how the method of delivery of verbal surgical error instruction influences trainee response to instruction and overall surgical performance. Evaluating trainee responses to AI instructor verbal feedback as compared to feedback from human instructors will allow for further development, testing, and optimization of the ICEMS and other AI tutoring systems.
Immersive virtual reality (IVR) surgical simulators are increasingly being used for learner education. The aim of this randomized controlled trial is to compare the efficacy of IVR to hands-on orthopaedic workshop sessions (such as arthroscopy simulators, cadaveric models, and Sawbones®) in various orthopaedic subspecialties (such as sports, arthroplasty, and spine surgery). Overall, in this multi-stage comprehensive randomized controlled the aim is to assess: 1. If IVR simulation using head-mounted displays (HMD) is superior to the current standard of training for orthopaedic surgery residents and medical students. 2. Determine if it is feasible to incorporate immersive headset virtual reality simulation into residency training programs and medical school curriculums. 3. Assess the longitudinal application of IVR training on medical student and resident surgical education.
Background: Traditionally, medical students learn surgical skills through the observation of a resident or a surgeon performing the technique. Due to inconsistent practice opportunities in the clinical setting, a disparity of skill levels among students has been observed. In addition, the poor availability of faculty professors is a limiting factor in teaching and adequately preparing medical students for clerkship years. With the ongoing COVID-19 pandemic, medical students do not have access to traditional suturing learning opportunities. Didactic courses are available on videoconferencing platforms, but they do not include technical training. Objective: Our overarching goal is to evaluate the efficacy of web-based peer-learning for advanced suturing techniques (i.e., running subcuticular sutures). The investigators will use GEN (Gamified Educational Network), a newly developed online learning tool. The investigators will assess students' ability to identify and to perform the right technique. The investigators will also assess students' satisfaction with regards to GEN. Methods: The investigators will conduct a prospective randomized controlled trial with blinding of expert examiners. First-year medical students in the Faculty of Medicine of Université de Montréal will be randomized to four groups: 1) control group, 2) self-learning, 3) peer-learning, and 4) peer-learning with expert feedback. Each arm will have 15 participants who will learn how to perform running subcuticular sutures through videos on GEN. For our primary outcome, students' ability to identify the right technique will be evaluated before and after the intervention on GEN. They will view eight videos and rate the surgical technique using the OSATS (Objective Structured Assessment of Technical Skills) Global Rating Scale (GRS) and the Subcuticular Suture Checklist as evaluation criteria. For our secondary outcomes, students will anonymously record themselves performing a running subcuticular suture and will be evaluated using the same scales. Then, a survey will be sent to analyze the overall performance of the platform. Results: The study will be conducted in accordance with the Declaration of Helsinki and has been approved by our institutional review board (CERSES 20-068-D). No participants have been recruited yet. Conclusions: Peer-learning through GEN has the potential to overcome significant limitations related to the pandemic and the lack of availability of faculty professors. Further, a decrease of the anxiety related to traditional suturing classes can be expected. The investigators aim to create an innovative and sustainable method of teaching surgical skills to improve the efficiency and the quality of surgical training in medical faculties. With the current world events of COVID-19, the necessity for such tools are imperative.