scholarly journals Advanced Open Surgical Skill Simulation: Practice, Performance Benchmarking, and Perceptions

2021 ◽  
Vol 233 (5) ◽  
pp. S220-S221
Author(s):  
Riley Brian ◽  
Jon Freise ◽  
Saira Ahmed ◽  
Joseph Lin ◽  
Hueylan Chern ◽  
...  
2006 ◽  
Author(s):  
Elizabeth A. Schmidt ◽  
Mark W. Scerbo ◽  
James P. Bliss ◽  
Hope S. Hanner-Bailey ◽  
Hector M. Garcia ◽  
...  

2012 ◽  
Vol 21 (4) ◽  
pp. 470-489 ◽  
Author(s):  
Amine Chellali ◽  
Cedric Dumas ◽  
Isabelle Milleville-Pennel

In interventional radiology, physicians require high haptic sensitivity and fine motor skills development because of the limited real-time visual feedback of the surgical site. The transfer of this type of surgical skill to novices is a challenging issue. This paper presents a study on the design of a biopsy procedure learning system. Our methodology, based on a task-centered design approach, aims to bring out new design rules for virtual learning environments. A new collaborative haptic training paradigm is introduced to support human-haptic interaction in a virtual environment. The interaction paradigm supports haptic communication between two distant users to teach a surgical skill. In order to evaluate this paradigm, a user experiment was conducted. Sixty volunteer medical students participated in the study to assess the influence of the teaching method on their performance in a biopsy procedure task. The results show that to transfer the skills, the combination of haptic communication with verbal and visual communications improves the novices’ performance compared to conventional teaching methods. Furthermore, the results show that, depending on the teaching method, participants developed different needle insertion profiles. We conclude that our interaction paradigm facilitates expert-novice haptic communication and improves skills transfer; and new skills acquisition depends on the availability of different communication channels between experts and novices. Our findings indicate that the traditional fellowship methods in surgery should evolve to an off-patient collaborative environment that will continue to support visual and verbal communication, but also haptic communication, in order to achieve a better and more complete skills training.


2021 ◽  
pp. bmjstel-2020-000797
Author(s):  
Fabrizio Consorti ◽  
Gianmarco Panzera

BackgroundMany studies explored the use of simulation in basic surgical education, with a variety of devices, contexts and outcomes, with sometimes contradictory results.ObjectivesThe objectives of this meta-analysis were to focus the effect that the level of physical resemblance in a simulation has on the development of basic surgical skill in undergraduate medical students and to provide a foundation for the design and implementation of a simulation, with respect to its effectiveness and alignment with the learning outcomes.Study selectionWe searched PubMed and Scopus database for comparative randomised studies between simulations with a different level of resemblance. The result was synthesised as the standardised mean difference, under a random effect model.FindingsWe selected 12 out of 2091 retrieved studies, reporting on 373 undergraduate students (mean of subjects 15.54±6.89). The outcomes were the performance of simple skills and the time to complete a task. Two studies reported a scoring system; seven studies reported time for a task; and three studies reported both. The total number of measures included in the meta-analysis was 456 for score and 504 for time. The pooled effect size did not show any significant advantage in a simulation of a high level of physical resemblance over a lower level, both for the scoring system (−0.19, 95% CI −0.44 to 0.06) and for time (−0.14, 95% CI −0.54 to 0.27).ConclusionSimulations with a low level of physical resemblance showed the same effect as the simulation using a higher level of resemblance on the development of basic surgical skills in undergraduate students.


Author(s):  
Hiroki Katayama ◽  
Tetsuro Tominaga ◽  
Takashi Nonaka ◽  
Hideo Wada ◽  
Kazuo To ◽  
...  

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