OBJECTIVE: To evaluate if two commonly used laparoscopic simulators could be adapted and used successfully for the robotics platform in a laparoscopic and robotic naïve medical student population. MATERIALS AND METHODS: We identified two widely validated laparoscopic simulation programs, LapSim(®) (Surgical Science Sweden AB), and ProMIS(®) (Haptica, Ireland)for inclusion in the study. The McGill Inanimate System for Training and Evaluation of Laparoscopic Skills(®) task set was used for ProMIS, and adapted for the DaVinci(®) console (Intuitive Surgical, Inc., Sunnyvale, CA, USA) robotic platform. We then randomized 20 naïve medical students toreceive training on either LapSim or ProMIS, both or neither, and evaluated them before and after training. RESULTS: When the groups were compared at baseline, there were no statistical differences in mean scores amongst the groups in univariate analysis (α= 0.05). When comparing mean scores within groups before and after training sessions, statistically significant performance enhancement in all four robotic tasks were identified in the groups receiving dual training. CONCLUSION: We have shown that the use of ProMIS hybrid and LapSim virtual reality (VR) simulators in conjunction with each other can considerable improve robotic console performance in novice medical students compared with hybrid and VR simulation alone.
RCT Entities:
OBJECTIVE: To evaluate if two commonly used laparoscopic simulators could be adapted and used successfully for the robotics platform in a laparoscopic and robotic naïve medical student population. MATERIALS AND METHODS: We identified two widely validated laparoscopic simulation programs, LapSim(®) (Surgical Science Sweden AB), and ProMIS(®) (Haptica, Ireland)for inclusion in the study. The McGill Inanimate System for Training and Evaluation of Laparoscopic Skills(®) task set was used for ProMIS, and adapted for the DaVinci(®) console (Intuitive Surgical, Inc., Sunnyvale, CA, USA) robotic platform. We then randomized 20 naïve medical students to receive training on either LapSim or ProMIS, both or neither, and evaluated them before and after training. RESULTS: When the groups were compared at baseline, there were no statistical differences in mean scores amongst the groups in univariate analysis (α= 0.05). When comparing mean scores within groups before and after training sessions, statistically significant performance enhancement in all four robotic tasks were identified in the groups receiving dual training. CONCLUSION: We have shown that the use of ProMIS hybrid and LapSim virtual reality (VR) simulators in conjunction with each other can considerable improve robotic console performance in novice medical students compared with hybrid and VR simulation alone.
Authors: Michael I Hanzly; Tareq Al-Tartir; Syed Johar Raza; Atif Khan; Mohammad Manan Durrani; Thomas Fiorica; Phillip Ginsberg; James L Mohler; Boris Kuvshinoff; Khurshid A Guru Journal: Curr Urol Rep Date: 2015-06 Impact factor: 3.092
Authors: Daniel M Costello; Isabel Huntington; Grace Burke; Brooke Farrugia; Andrea J O'Connor; Anthony J Costello; Benjamin C Thomas; Philip Dundee; Ahmed Ghazi; Niall Corcoran Journal: J Robot Surg Date: 2021-09-03