An At-Home Laparoscopic Curriculum for Junior Residents in Surgery, Obstetrics/Gynecology, and Urology.

Introduction: Laparoscopic surgery requires significant training, and prior studies have shown that surgical residents lack key laparoscopic skills. Many educators have implemented simulation curricula to improve laparoscopic training. Given limited time for dedicated, in-person simulation center practice, at-home training has emerged as a possible mechanism by which to expand training and promote practice. There remains a gap in published at-home laparoscopic curricula employing embedded feedback mechanisms. Methods: We developed a nine-task at-home laparoscopic curriculum and an end-of-curriculum assessment following Kern's six-step approach. We implemented the curriculum over 4 months with first- to third-year residents. Results: Of 47 invited residents from general surgery, obstetrics/gynecology, and urology, 37 (79%) participated in the at-home curriculum, and 25 (53%) participated in the end-of-curriculum assessment. Residents who participated in the at-home curriculum completed a median of six of nine tasks (interquartile range: 3-8). Twenty-two residents (47%) responded to a postcurriculum survey. Of these, 19 (86%) reported that their laparoscopic skills improved through completion of the curriculum, and the same 19 (86%) felt that the curriculum should be continued for future residents. Residents who completed more at-home curriculum tasks scored higher on the end-of-curriculum assessment (p = .009 with adjusted R 2 of .28) and performed assessment tasks in less time (p = .004 with adjusted R 2 of .28). Discussion: This learner-centered laparoscopic curriculum provides guiding examples, spaced practice, feedback, and graduated skill development to enable junior residents to improve their laparoscopic skills in a low-stakes, at-home environment.

From FUSE to a hands-on electrosurgery course using a cadaveric model.

INTRODUCTION: Surgical procedures in contemporary practice frequently employ energy-based devices, yet comprehensive education surrounding their safety and effectiveness remains deficient. We propose an innovative course for residents that aims to provide basic electrosurgery knowledge and promote the safe use of these devices. METHODS: We developed a simulated training course for first-year general surgery and orthopedic residents. First, a survey was conducted regarding their knowledge perception about energy devices. The course consisted of two online theoretical sessions, followed by three in-person practical sessions. First-year residents performed three video-recorded attempts using a cadaveric model and were assessed through a digital platform using the Objective Structured Assessment of Technical Skill (OSATS), a Specific Rating Scale (SRS), and a surgical energy-based devices scale (SEBS). Third-year residents were recruited as a control group. RESULTS: The study included 20 first-year residents and 5 third-year residents. First-year residents perceived a knowledge gap regarding energy devices. Regarding practical performance, both OSATS and checklist scores were statistically different between novices at their first attempt and the control group. When we analyzed the novice's performance, we found a significant increase in OSATS (13 vs 21), SRS (13 vs 17.5), and SEBS (5 vs 7) pre- and post-training scores. The amount of feedback referred to skin burns with the electro-scalpel reduced from 18 feedbacks in the first attempt to 2 in the third attempt (p-value = 0.0002). When comparing the final session of novices with the control group, no differences were found in the SRS (p = 0.22) or SEBS (p = 0.97), but differences remained in OSATS (p = 0.017). CONCLUSION: This study supports the implementation of structured education in electrosurgery among surgical trainees. By teaching first-year residents about electrosurgery, they can acquire a skill set equivalent to that of third-year residents. The integration of such courses can mitigate complications associated with energy device misuse, ultimately enhancing patient safety.

Validation of a synthetic simulation model of endoscopic rectus sheath plication.

PURPOSE: Literature reviews outline minimally invasive approaches for abdominal diastasis in patients without skin excess. However, few surgeons are trained in endoscopic rectus sheath plication, and no simulated training programs exist for this method. This study aimed to develop and validate a synthetic simulation model for the training of skills in this approach under the Messick validity framework. METHODS: A cross-sectional study was carried out to assess the participants' previous level of laparoscopic/endoscopic skills by a questionnaire. Participants performed an endoscopic plication on the model and their performance was evaluated by one blinded observer using the global rating scale OSATS and a procedure specific checklist (PSC) scale. A 5-level Likert survey was applied to 5 experts and 4 plastic surgeons to assess Face and Content validity. RESULTS: Fifteen non-experts and 5 experts in abdominal wall endoscopic surgery were recruited. A median OSATS score [25 (range 24-25) vs 14 (range 5-22); p < 0.05 of maximum 25 points] and a median PSC score [11 (range 10-11) vs 8 (range 3-10); p < 0.05 of maximum 11 points] was significantly higher for experts compared with nonexperts. All experts agreed or strongly agreed that the model simulates a real scenario of endoscopic plication of the rectus sheath. CONCLUSION: Our simulation model met all validation criteria outlined in the Messick framework, demonstrating its ability to differentiate between experts and non-experts based on their baseline endoscopic surgical skills. This model stands as a valuable tool for evaluating skills in endoscopic rectus sheath plication.

Opportunities and Applications of Educational Technologies in Surgical Education and Assessment.

BACKGROUND: Surgical education is challenged by continuously increasing clinical content, greater subspecialization, and public scrutiny of access to high quality surgical care. Since the last Blue Ribbon Committee on surgical education, novel technologies have been developed including artificial intelligence and telecommunication. OBJECTIVES AND METHODS: The goals of this Blue Ribbon Sub-Committee were to describe the latest technological advances and construct a framework for applying these technologies to improve the effectiveness and efficiency of surgical education and assessment. An additional goal was to identify implementation frameworks and strategies for centers with different resources and access. All sub-committee recommendations were included in a Delphi consensus process with the entire Blue Ribbon Committee (N=67). RESULTS: Our sub-committee found several new technologies and opportunities that are well poised to improve the effectiveness and efficiency of surgical education and assessment (see Tables 1-3). Our top recommendation was that a Multidisciplinary Surgical Educational Council be established to serve as an oversight body to develop consensus, facilitate implementation, and establish best practices for technology implementation and assessment. This recommendation achieved 93% consensus during the first round of the Delphi process. CONCLUSION: Advances in technology-based assessment, data analytics, and behavioral analysis now allow us to create personalized educational programs based on individual preferences and learning styles. If implemented properly, education technology has the promise of improving the quality and efficiency of surgical education and decreasing the demands on clinical faculty.

Practical Guide to Machine Learning and Artificial Intelligence in Surgical Education Research.

This Guide to Statistics and Methods gives an overview of artificial intelligence techniques and tools in surgical education research.

Taking advantage of asynchronous digital feedback: development of an at-home basic suture skills training program for undergraduate medical students that facilitates skills retention.

Purpose: To date, there are no training programs for basic suturing that allow remote deliberate practice. This study seeks to evaluate the effectiveness of a basic suture skills training program and its 6-month skill retention applying unsupervised practice and remote digital feedback. Methods: Fourth-year medical-student trainees reviewed instructional videos from a digital platform and performed unsupervised practice as needed at their homes. When they felt competent, trainees uploaded a video of themselves practicing the skill. In < 72 h, they received expert asynchronous digital feedback. The course had two theoretical stages and five video-based assessments, where trainees performed different suturing exercises. For the assessment, a global (GRS) and specific rating scale (SRS) were used, with a passing score of 20 points (max:25) and 15 (max:20), respectively. Results were compared to previously published work with in-person expert feedback (EF) and video-guided learning without feedback (VGL). A subgroup of trainees underwent a 6-month skills retention assessment. Results: Two-hundred and forty-three trainees underwent the course between March and December 2021. A median GRS of 24 points was achieved in the final assessment, showing significantly higher scores (p < 0.001) than EF and VGL (20.5 and 15.5, respectively). Thirty-seven trainees underwent a 6-month skills retention assessment, improving in GRS (23.38 vs 24.03, p value = 0.06) and SRS (18.59 vs 19, p value = 0.07). Conclusion: It is feasible to teach basic suture skills to undergraduate medical students using an unsupervised training course with remote and asynchronous feedback through a digital platform. This methodology allows continuous training with the repetition of quality practice, personalized feedback, and skills retention at 6 months.

Innovations in surgical training: exploring the role of artificial intelligence and large language models (LLM).

The landscape of surgical training is rapidly evolving with the advent of artificial intelligence (AI) and its integration into education and simulation. This manuscript aims to explore the potential applications and benefits of AI-assisted surgical training, particularly the use of large language models (LLMs), in enhancing communication, personalizing feedback, and promoting skill development. We discuss the advancements in simulation-based training, AI-driven assessment tools, video-based assessment systems, virtual reality (VR) and augmented reality (AR) platforms, and the potential role of LLMs in the transcription, translation, and summarization of feedback. Despite the promising opportunities presented by AI integration, several challenges must be addressed, including accuracy and reliability, ethical and privacy concerns, bias in AI models, integration with existing training systems, and training and adoption of AI-assisted tools. By proactively addressing these challenges and harnessing the potential of AI, the future of surgical training may be reshaped to provide a more comprehensive, safe, and effective learning experience for trainees, ultimately leading to better patient outcomes. .

Development and Validation of a Laryngeal Microsurgery Simulation Training System for Otolaryngology Residents.

OBJECTIVE: This study aims to create a synthetic laryngeal microsurgery simulation model and training program; to assess its face, content, and construct validity; and to review the available phonomicrosurgery simulation models in the literature. STUDY DESIGN: Nonrandomly assigned control study. SETTING: Simulation training course for the otolaryngology residency program at Pontificia Universidad Católica de Chile. METHODS: Resident (postgraduate year 1 [PGY1]/PGY2) and expert groups were recruited. A laryngeal microsurgery synthetic model was developed. Nine tasks were designed and assessed through a set of programmed exercises with increasing difficulty, to fulfill 5 surgical competencies. Imperial College Surgical Assessment Device sensors applied to the participants' hands measured time and movements. The activities were video-recorded and blindly assessed by 2 laryngologists using a specific and global rating scale (SRS and GRS). A 5-point Likert survey assessing validity was completed by experts. RESULTS: Eighteen participants were recruited (14 residents and 4 experts). Experts performed significantly better than residents in the SRS (p = .003), and GRS (p = .004). Internal consistency was demonstrated for the SRS (α = .972, p < .001). Experts had a shorter execution time (p = .007), and path length with the right hand (p = .04). The left hand did not show significant differences. The survey assessing validity resulted in a median 36 out of 40 points score for face validity; and 43 out of 45 points score, for global content validity. The literature review revealed 20 available phonomicrosurgery simulation models, only 6 with construct validity. CONCLUSION: The face, content, and construct validity of the laryngeal microsurgery simulation training program were established. It could be replicated and incorporated into residents' curricula.

Remote, asynchronous training and feedback enables development of neurodynamic skills in physiotherapy students.

BACKGROUND: During the COVID-19 pandemic, face-to-face teaching and learning of physiotherapy practical skills was limited. Asynchronous, remote training has been effective in development of clinical skills in some health professions. This study aimed to determine the effect of remote, asynchronous training and feedback on development of neurodynamic skills in physiotherapy students. METHODS: Longitudinal repeated measurements study, across four training sessions. Participants engaged in a remote training program for development of upper limb neurodynamic techniques. In this sequential training, participants viewed the online tutorial, practiced independently, and uploaded a video of their performance for formative assessment and feedback from a trained instructor via a checklist and rubric. RESULTS: Intra-subject analyses of 60 third-year physiotherapy students showed that the target standard of performance, with no further significant change in scores, was attained following session 2 for the checklist and session 3 for the rubric. This shows that two sessions are required to learn the procedures, and three sessions yield further improvements in performance quality. CONCLUSION: The remote, asynchronous training and feedback model proved to be an effective strategy for students' development of neurodynamic testing skills and forms a viable alternative to in-person training. This study contributes to the future of acquiring physiotherapy clinical competencies when distance or hybrid practice is required.

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 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.

Remote and asynchronous training network: from a SAGES grant to an eight-country remote laparoscopic simulation training program.

BACKGROUND: Limitations in surgical simulation training include lack of access to validated training programs with continuous year-round training and lack of experts' ongoing availability for feedback. A model of simulation training was developed to address these limitations. It incorporated basic and advanced laparoscopic skills curricula from a previously validated program and provided instruction through a digital platform. The platform allowed for remote and asynchronous feedback from a few trained instructors. The instructors were continuously available and provided personalized feedback using a variety of different media. We describe the upscaling of this model to teach trainees at fourteen centers in eight countries. METHODS: Institutions with surgical programs lacking robust simulation curricula and needing instructors for ongoing education were identified. The simulation centers ("skills labs") at these sites were equipped with necessary simulation training hardware. A remote training-the-administrators (TTA) program was developed where personnel were trained in how to manage the skills lab, schedule trainees, set up training stations, and use the platform. A train-the-trainers (TTT) program was created to establish a network of trained instructors, who provided objective feedback through the platform remotely and asynchronously. RESULTS: Between 2019 and 2022, seven institutions in Chile and one in each of the USA, Bolivia, Brazil, Ecuador, El Salvador, México, and Perú implemented a digital platform-based remote simulation curriculum. Most administrators were not physicians (19/33). Eight Instructors were trained with the TTT program and became active proctors. The platform has been used by 369 learners, of whom 57% were general surgeons and general surgery residents. A total of 6729 videos, 28,711 feedback inputs, and 233.7 and 510.2 training hours in the basic and advanced programs, respectively, were registered. CONCLUSION: A remote and asynchronous method of giving instruction and feedback through a digital platform has been effectively employed in the creation of a robust network of continuous year-round simulation-based training in laparoscopy. Training centers were successfully run only with trained administrators to assist in logistics and setup, and no on-site instructors were necessary.

Artificial intelligence in laparoscopic simulation: a promising future for large-scale automated evaluations.

INTRODUCTION: A limitation to expanding laparoscopic simulation training programs is the scarcity of expert evaluators. In 2019, a new digital platform for remote and asynchronous laparoscopic simulation training was validated. Through this platform, 369 trainees have been trained in 14 institutions across Latin America, collecting 6729 videos of laparoscopic training exercises. The use of artificial intelligence (AI) has recently emerged in surgical simulation, showing usefulness in training assessment, virtual reality scenarios, and laparoscopic virtual reality simulation. An AI algorithm to assess basic laparoscopic simulation training exercises was developed. This study aimed to analyze the agreement between this AI algorithm and expert evaluators in assessing basic laparoscopic-simulated training exercises. METHODS: The AI algorithm was trained using 400-bean drop (BD) and 480-peg transfer (PT) videos and tested using 64-BD and 43-PT randomly selected videos, not previously used to train the algorithm. The agreement between AI and expert evaluators from the digital platform (EE) was then analyzed. The exercises being assessed involve using laparoscopic graspers to move objects across an acrylic board without dropping any objects in a determined time (BD < 24 s, PT < 55 s). The AI algorithm can detect object movement, identify if objects have fallen, track grasper clamps location, and measure exercise time. Cohen's Kappa test was used to evaluate the agreement between AI assessments and those performed by EE, using a pass/fail nomenclature based on the time to complete the exercise. RESULTS: After the algorithm was trained, 79.69% and 93.02% agreement were observed in BD and PT, respectively. The Kappa coefficients test observed for BD and PT were 0.59 (moderate agreement) and 0.86 (almost perfect agreement), respectively. CONCLUSION: This first approach of AI use in basic laparoscopic skills simulated training assessment shows promising results, providing a preliminary framework to expand the use of AI to other basic laparoscopic skills exercises.

Innovations in surgical training: exploring the role of artificial intelligence and large language models (LLM) / Inovações no treinamento cirúrgico: explorando o papel da inteligência artificial e dos grandes modelos de linguagem (LLM)

ABSTRACT The landscape of surgical training is rapidly evolving with the advent of artificial intelligence (AI) and its integration into education and simulation. This manuscript aims to explore the potential applications and benefits of AI-assisted surgical training, particularly the use of large language models (LLMs), in enhancing communication, personalizing feedback, and promoting skill development. We discuss the advancements in simulation-based training, AI-driven assessment tools, video-based assessment systems, virtual reality (VR) and augmented reality (AR) platforms, and the potential role of LLMs in the transcription, translation, and summarization of feedback. Despite the promising opportunities presented by AI integration, several challenges must be addressed, including accuracy and reliability, ethical and privacy concerns, bias in AI models, integration with existing training systems, and training and adoption of AI-assisted tools. By proactively addressing these challenges and harnessing the potential of AI, the future of surgical training may be reshaped to provide a more comprehensive, safe, and effective learning experience for trainees, ultimately leading to better patient outcomes. .

RESUMO O cenário do treinamento cirúrgico está evoluindo rapidamente com o surgimento da inteligência artificial (IA) e sua integração na educação e simulação. Este artigo explora as aplicações e benefícios potenciais do treinamento cirúrgico assistido por IA, em particular o uso de modelos de linguagem avançados (MLAs), para aprimorar a comunicação, personalizar o feedback e promover o desenvolvimento de habilidades. Discutimos os avanços no treinamento baseado em simulação, ferramentas de avaliação impulsionadas por IA, sistemas de avaliação baseados em vídeo, plataformas de realidade virtual (RV) e realidade aumentada (RA), e o papel potencial dos MLAs na transcrição, tradução e resumo do feedback. Apesar das oportunidades promissoras apresentadas pela integração da IA, vários desafios devem ser abordados, incluindo precisão e confiabilidade, preocupações éticas e de privacidade, viés nos modelos de IA, integração com os sistemas de treinamento existentes, e treinamento e adoção de ferramentas assistidas por IA. Ao abordar proativamente esses desafios e aproveitar o potencial da IA, o futuro do treinamento cirúrgico pode ser remodelado para proporcionar uma experiência de aprendizado mais abrangente, segura e eficaz para os aprendizes, resultando em melhores resultados para os pacientes.

LATIN AMERICAN RESIDENTS' SURGICAL EDUCATION AFTER THE PANDEMIC: WHAT STRATEGIES HAVE EMERGED FOR ADAPTING TO THIS NEW ERA?

BACKGROUND: The COVID-19 pandemic has had a negative effect on surgical education in Latin America, decreasing residents' surgical training and supervised clinical practice. AIMS: This study aimed to identify strategies that have been proposed or implemented to adapt surgical training and supervised clinical practice to COVID-19-related limitations in Latin America. METHOD: A literature review was performed between April and May 2021, divided into two searches. The first one sought to identify adaptation strategies in Latin America for surgical training and supervised clinical practice. The second one was carried out as a complement to identify methodologies proposed in the rest of the world. RESULTS: In the first search, 16 of 715 articles were selected. In the second one, 41 of 1,637 articles were selected. Adaptive strategies proposed in Latin America focused on videoconferencing and simulation. In the rest of the world, remote critical analysis of recorded/live surgeries, intrasurgical tele-mentoring, and surgery recording with postoperative feedback were suggested. CONCLUSIONS: Multiple adaptation strategies for surgical education during the COVID-19 pandemic have been proposed in Latin America and the rest of the world. There is an opportunity to implement new strategies in the long term for surgical training and supervised clinical practice, although more prospective studies are required to generate evidence-based recommendations.

Septoplasty Training During the COVID-19 Era: Development and Validation of a Novel Low-Cost Simulation Model.

Objective: In a context of increasingly limited surgical exposition, enhanced by the coronavirus disease 2019 (COVID-19) pandemic context, the objective of this article is to explain the development of a novel low-cost and simple replication animal-based septoplasty training model for otolaryngology residents, to assess its face and construct validity, and to validate a specific rating scale for each task. Study Design: Experimental study. Setting: Surgical simulation laboratory. Methods: Septoplasty experts divided the procedure into key tasks. A simulator model to perform tasks was developed using pig ears to imitate human nasal septum cartilage, and a Specific Rating Scale was constructed. Trainees and faculty performed all tasks in the model. The participants were videotaped, and operative time, hand movements, and path length were recorded using a motion sensor device. Two blinded experts evaluated the videos with Global and Specific Rating Scales. All participants answered a satisfaction survey. Results: Fifteen subjects were recruited (7 trainees and 8 faculty). Significantly higher Global Rating Scale score, shorter operative time and path length, and fewer hand movements were observed in the faculty group. The satisfaction survey showed high applicability to a real scenario (mean score of 4.6 out of 5). Specific Rating Scale showed construct and concurrent validity and high reliability. Conclusion: This simulation model and its specific rating scale can be accurately used as a validated surgical assessment tool for endonasal septoplasty skills. Its low cost and simple replicability make it a potentially useful tool in any otolaryngology surgical training program.

Designing Sustainable Solutions to Implement a Distance-Based Simulation Basic Life Support Training Program During COVID-19 Pandemic in Low-Income Countries.

SUMMARY STATEMENT: The global pandemic of COVID-19 had strong repercussions in healthcare simulation-based education around the world. Different adaptations to imposed restraints such as social distancing have been developed to address the educational needs of healthcare professionals. However, the lack of access to simulators in low-income countries or rural areas may restrict the access to distance simulation-based training.

A new approach for the acquisition of trauma surgical skills: an OSCE type of simulation training program.

BACKGROUND: Worldwide, trauma-related deaths are one of the main causes of mortality. Appropriate surgical treatment is crucial to prevent mortality, however, in the past decade, general surgery residents' exposure to trauma cases has decreased, particularly since the COVID-19 pandemic. In this context, accessible simulation-based training scenarios are essential. METHODS: A low-cost, previously tested OSCE scenario for the evaluation of surgical skills in trauma was implemented as part of a short training boot camp for residents and recently graduated surgeons. The following stations were included bowel anastomosis, vascular anastomosis, penetrating lung injury, penetrating cardiac injury, and gastric perforation (laparoscopic suturing). A total of 75 participants from 15 different programs were recruited. Each station was videotaped in high definition and assessed in a remote and asynchronous manner. The level of competency was assessed through global and specific rating scales alongside procedural times. Self-confidence to perform the procedure as the leading surgeon was evaluated before and after training. RESULTS: Statistically significant differences were found in pre-training scores between groups for all stations. The lowest scores were obtained in the cardiac and lung injury stations. After training, participants significantly increased their level of competence in both grading systems. Procedural times for the pulmonary tractotomy, bowel anastomosis, and vascular anastomosis stations increased after training. A significant improvement in self-confidence was shown in all stations. CONCLUSION: An OSCE scenario for training surgical skills in trauma was effective in improving proficiency level and self-confidence. Low pre-training scores and level of confidence in the cardiac and lung injury stations represent a deficit in residency programs that should be addressed. The incorporation of simulation-based teaching tools at early stages in residency would be beneficial when future surgeons face extremely severe trauma scenarios.

Remote asynchronous feedback for unsupervised laparoscopic training: the "lapp" platform / Feedback assíncrono remoto para treinamento laparoscópico não supervisionado: a plataforma "lapp"

ABSTRACT 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.

RESUMO RACIONAL: As vantagens da cirurgia laparoscópica sobre a cirurgia aberta tradicional mudaram o paradigma da educação cirúrgica nos últimos 20 anos, tornando-se o padrão em muitos procedimentos cirúrgicos. No entanto, envolve um desafio adicional devido à complexidade para atingir o nível de competência desejado. O treinamento baseado em simulação surgiu como uma solução. No entanto, há uma relativa escassez de especialistas para fornecer feedback personalizado. A Technology Enhanced Learning pode ser uma ajuda valiosa na personalização do processo de aprendizagem e na superação de barreiras geográficas e temporais que impediriam o treinamento. Atualmente, várias plataformas educacionais estão disponíveis, mas nenhuma delas é capaz de fornecer feedback personalizado. OBJETIVOS: desenvolver e testar uma prova de conceito de uma nova plataforma de habilidades laparoscópicas da Technology Enhanced Learning com feedback remoto personalizado. MÉTODOS: É proposta a plataforma "Lapp", uma solução web e móvel baseada em nuvem. É composta por uma aplicação web em que os professores podem avaliar remotamente e de forma assíncrona exercícios realizados pelos alunos, adicionando feedback personalizado para os formandos alcançarem uma curva de aprendizagem onde e quando treinam. Para avaliar a eficácia desta plataforma, dois grupos de alunos foram comparados. 130 participantes receberam feedback pessoal e 39 participantes receberam feedback remoto assíncrono em todo o aplicativo. RESULTADOS: Os resultados não mostraram diferenças significativas em relação ao nível de competência entre os dois grupos. CONCLUSÕES: Uma nova estratégia Technology Enhanced Learning que consiste em feedback assíncrono remoto em toda a Lapp facilita e otimiza o aprendizado, resolvendo as limitações espaço-temporais tradicionais.

Latin american residents' surgical education after the pandemic: what strategies have emerged for adapting to this new era? / Pandemia de covid-19 e educação cirúrgica de residentes da américa latina. que estratégias surgiram para se adaptar a esta nova era?

ABSTRACT BACKGROUND: The COVID-19 pandemic has had a negative effect on surgical education in Latin America, decreasing residents' surgical training and supervised clinical practice. AIMS: This study aimed to identify strategies that have been proposed or implemented to adapt surgical training and supervised clinical practice to COVID-19-related limitations in Latin America. METHOD: A literature review was performed between April and May 2021, divided into two searches. The first one sought to identify adaptation strategies in Latin America for surgical training and supervised clinical practice. The second one was carried out as a complement to identify methodologies proposed in the rest of the world. RESULTS: In the first search, 16 of 715 articles were selected. In the second one, 41 of 1,637 articles were selected. Adaptive strategies proposed in Latin America focused on videoconferencing and simulation. In the rest of the world, remote critical analysis of recorded/live surgeries, intrasurgical tele-mentoring, and surgery recording with postoperative feedback were suggested. CONCLUSIONS: Multiple adaptation strategies for surgical education during the COVID-19 pandemic have been proposed in Latin America and the rest of the world. There is an opportunity to implement new strategies in the long term for surgical training and supervised clinical practice, although more prospective studies are required to generate evidence-based recommendations.

RESUMO RACIONAL: A pandemia de COVID-19 teve um efeito negativo na educação cirúrgica na América Latina, diminuindo o treinamento cirúrgico dos residentes e a prática clínica supervisionada. OBJETIVOS: Identificar estratégias que foram propostas ou implementadas para adaptar o treinamento cirúrgico e a prática clínica supervisionada às limitações relacionadas ao COVID-19 na América Latina. MÉTODOS: Foi realizada revisão de literatura entre abril-maio de 2021, dividida em duas buscas. O primeiro procurou identificar estratégias de adaptação em América Latina para treinamento cirúrgico e prática clínica supervisionada. A segunda foi realizada como complemento para identificar metodologias propostas no resto do mundo. RESULTADOS: Na primeira busca, foram selecionados 16 dos 715 artigos. Na segunda, foram selecionados 41 dos 1.637 artigos. Estratégias adaptativas propostas na América Latina com foco em videoconferência e simulação. No resto do mundo, foram sugeridas análises críticas remotas de cirurgias gravadas/ao vivo, tele-mentoria intra-cirúrgica e gravação de cirurgia com feedback pós-operatório. CONCLUSÕES: Múltiplas estratégias de adaptação para educação cirúrgica durante a pandemia de COVID-19 foram propostas na América Latina e no resto do mundo. Há uma oportunidade de implementar novas estratégias a longo prazo para treinamento cirúrgico e prática clínica supervisionada, embora mais estudos prospectivos sejam necessários para gerar recomendações baseadas em evidências.