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REMOTE ASYNCHRONOUS FEEDBACK FOR UNSUPERVISED LAPAROSCOPIC TRAINING: THE “LAPP” PLATFORM

BACKGROUND: The advantages of laparoscopic surgery over traditional open surgery have changed the surgical education paradigm in the past 20 years. Among its benefits are an improvement in clinical outcomes and patient safety, becoming the standard in many surgical procedures. However, it encompasse...

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Autores principales: ULLOA, Gabriel, NEYEM, Andres, ESCALONA, Gabriel, ORTIZ, Catalina, VARAS, Julian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Colégio Brasileiro de Cirurgia Digestiva 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830672/
https://www.ncbi.nlm.nih.gov/pubmed/36629690
http://dx.doi.org/10.1590/0102-672020220002e1712
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author ULLOA, Gabriel
NEYEM, Andres
ESCALONA, Gabriel
ORTIZ, Catalina
VARAS, Julian
author_facet ULLOA, Gabriel
NEYEM, Andres
ESCALONA, Gabriel
ORTIZ, Catalina
VARAS, Julian
author_sort ULLOA, Gabriel
collection PubMed
description BACKGROUND: The advantages of laparoscopic surgery over traditional open surgery have changed the surgical education paradigm in the past 20 years. Among its benefits are an improvement in clinical outcomes and patient safety, becoming the standard in many surgical procedures. However, it encompasses an additional challenge due to the complexity to achieve the desired competency level. Simulation-based training has emerged as a solution to this problem. However, there is a relative scarcity of experts to provide personalized feedback. Technology-Enhanced Learning could be a valuable aid in personalizing the learning process and overcoming geographic and time-related barriers that otherwise would preclude the training to happen. Currently, various educational digital platforms are available, but none of them is able to successfully provide personalized feedback. AIMS: The aim of this study was to develop and test a proof of concept of a novel Technology-Enhanced Learning laparoscopic skills platform with personalized remote feedback. METHODS: The platform “Lapp,” a web and mobile cloud-based solution, is proposed. It consists of a web and mobile application where teachers can evaluate remotely and asynchronously exercises performed by students, adding personalized feedback for trainees to achieve a learning curve wherever and whenever they train. To assess the effectiveness of this platform, two groups of students were compared: 130 participants received in-person feedback and 39 participants received remote asynchronous feedback throughout the application. RESULTS: The results showed no significant differences regarding competency levels among both groups. CONCLUSION: A novel Technology-Enhanced Learning strategy consisting of remote asynchronous feedback throughout Lapp facilitates and optimizes learning, solving traditional spatiotemporal limitations.
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spelling pubmed-98306722023-01-10 REMOTE ASYNCHRONOUS FEEDBACK FOR UNSUPERVISED LAPAROSCOPIC TRAINING: THE “LAPP” PLATFORM ULLOA, Gabriel NEYEM, Andres ESCALONA, Gabriel ORTIZ, Catalina VARAS, Julian Arq Bras Cir Dig Original Article BACKGROUND: The advantages of laparoscopic surgery over traditional open surgery have changed the surgical education paradigm in the past 20 years. Among its benefits are an improvement in clinical outcomes and patient safety, becoming the standard in many surgical procedures. However, it encompasses an additional challenge due to the complexity to achieve the desired competency level. Simulation-based training has emerged as a solution to this problem. However, there is a relative scarcity of experts to provide personalized feedback. Technology-Enhanced Learning could be a valuable aid in personalizing the learning process and overcoming geographic and time-related barriers that otherwise would preclude the training to happen. Currently, various educational digital platforms are available, but none of them is able to successfully provide personalized feedback. AIMS: The aim of this study was to develop and test a proof of concept of a novel Technology-Enhanced Learning laparoscopic skills platform with personalized remote feedback. METHODS: The platform “Lapp,” a web and mobile cloud-based solution, is proposed. It consists of a web and mobile application where teachers can evaluate remotely and asynchronously exercises performed by students, adding personalized feedback for trainees to achieve a learning curve wherever and whenever they train. To assess the effectiveness of this platform, two groups of students were compared: 130 participants received in-person feedback and 39 participants received remote asynchronous feedback throughout the application. RESULTS: The results showed no significant differences regarding competency levels among both groups. CONCLUSION: A novel Technology-Enhanced Learning strategy consisting of remote asynchronous feedback throughout Lapp facilitates and optimizes learning, solving traditional spatiotemporal limitations. Colégio Brasileiro de Cirurgia Digestiva 2023-01-09 /pmc/articles/PMC9830672/ /pubmed/36629690 http://dx.doi.org/10.1590/0102-672020220002e1712 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License
spellingShingle Original Article
ULLOA, Gabriel
NEYEM, Andres
ESCALONA, Gabriel
ORTIZ, Catalina
VARAS, Julian
REMOTE ASYNCHRONOUS FEEDBACK FOR UNSUPERVISED LAPAROSCOPIC TRAINING: THE “LAPP” PLATFORM
title REMOTE ASYNCHRONOUS FEEDBACK FOR UNSUPERVISED LAPAROSCOPIC TRAINING: THE “LAPP” PLATFORM
title_full REMOTE ASYNCHRONOUS FEEDBACK FOR UNSUPERVISED LAPAROSCOPIC TRAINING: THE “LAPP” PLATFORM
title_fullStr REMOTE ASYNCHRONOUS FEEDBACK FOR UNSUPERVISED LAPAROSCOPIC TRAINING: THE “LAPP” PLATFORM
title_full_unstemmed REMOTE ASYNCHRONOUS FEEDBACK FOR UNSUPERVISED LAPAROSCOPIC TRAINING: THE “LAPP” PLATFORM
title_short REMOTE ASYNCHRONOUS FEEDBACK FOR UNSUPERVISED LAPAROSCOPIC TRAINING: THE “LAPP” PLATFORM
title_sort remote asynchronous feedback for unsupervised laparoscopic training: the “lapp” platform
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830672/
https://www.ncbi.nlm.nih.gov/pubmed/36629690
http://dx.doi.org/10.1590/0102-672020220002e1712
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