Browsing by Author "Varas Cohen, Julián Emanuel"
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- ItemAvailable assessment tools for evaluating feedback quality: a scoping review oriented to education in digital media(2024) Duran Espinoza, Valentina Alexandra; Rammsy Seron, Francisca Pia; Vargas, Juan Pablo; Petric Prado, Dominik; Montero Jaras, Isabella; Silva Peña, Felipe Andres; Olivares Valenzuela, Nicolás Hernán; Villagrán, Ignacio; Varas Cohen, Julián Emanuel; Fuentes-Cimma, JavieraIn recent years, the use of digital platforms for surgical and medical training has increased. Quality feedback is essential when using these methodologies, as it serves as the primary form of interaction between trainers and students. Therefore, there is a need to evaluate feedback using valid and reliable instruments. This scoping review aims to identify assessment tools available in the literature for evaluating feedback in medical education
- ItemEffectiveness of a Train the Trainers course for digital feedback in healthcare simulation via a remote and asynchronous learning program(2024) Montero Jaras, Isabella; Durán Espinoza, Valentina Alexandra; Miguieles Schilling, Mariana Andrea; Belmar Riveros, Francisca Andrea; Figueroa Fernández, Ursula Victoria; Brandon Valencia Coronel; Wiseman Jeffrey; Jarry Trujillo, Cristián Ignacio; Gabriel Escalona Vives; Villagran Gutiérrez, Ignacio Andrés; Corvetto Aqueveque, Marcia Antonia; Varas Cohen, Julián EmanuelIntroduction With a growing demand for tutoring in medical education, the need for Train the Trainers courses have increased. These courses can be difficult to coordinate between trainer and trainee (trainers in training). This study aimed to evaluate the effectiveness of a digital remote and asynchronous (RA) Train the Trainers (TTT) course compared to an in-person (IP) course. Methods In this quasi-experimental study, we compared an in-person TTT course with a remote and asynchronous TTT course. The course involved theoretical and practical components, and upon completion, the trainees transitioned into instructor roles where they provided feedback on video recordings of third-year medical students performing simulated procedures. Performance of the third-year medical students was analyzed, comparing global rating scores. Data analysis was performed using non-parametric tests considering statistical significance p < 0.05. Results A total of 108 trainers-in-training completed the TTT course; 30 IP and 78 RA. They assessed 1,016 videos. The first attempt score was 17 (14–20) and 19 (15–22) in IP and RA training, respectively with statistically significant differences (p-value = 0.041). On the second attempt, scores were 23 (20–24) and 23 (20–24) in IP and RA training, respectively. This difference was not statistically significant. Conclusion The implementation of a remote and asynchronous TTT course yielded comparable results to the traditional in-person method. This new learning modality facilitated increased platform inputs, saw higher first-attempt scores in students, and did not adversely impact their final competency outcomes.
- ItemElaboración de un simulador de trauma torácico a partir de un torso cadavérico utilizando tecnología de imágenes digitales e impresión 3d(Sociedad de Cirujanos de Chile, 2021) Spoerer Ruiz-tagle Sebastian; Caro Pinto, Iván; Vela Ulloa, Javier Ignacio; Contreras Bertolo, Caterina; Ortiz Durán, Constanza Catalina; Achurra Tirado, Pablo Andrés; Varas Cohen, Julián Emanuel; Ramos Perkis, Juan Pablo; Jarufe Cassis, Nicolás Patricio; Riquelme Pizarro, Carlos Rodrigo; Garrido Cisterna, Francisco Javier; Inzunza Hernández, Oscar AlejandroTo describe the design and creation of a high-fidelity thoracic trauma surgery simulation model incorporating 3D printing technology using a cadaveric human torso as a model. Materials and Method: This is a descriptive study that aims to illustrate the creation process of a thoracic trauma surgery simulation model throughout the incorporation of prototypes and dynamic iteration tech-nologies. Results: A high-fidelity reusable thoracic trauma surgery simulation model was created from the digitalization of a cadaveric torso using a computed tomography scan. Throughout digital reconstruction tools, the subcutaneous, muscular, and skeletal structures were modeled from images obtained before and after an anterolateral thoracotomy. Using 3D printing and synthetic materials, a high-fidelity thoracic cavity was built so that perfused and ventilated porcine heart and lungs could be placed. A thoracotomy patch for the anterolateral thoracotomy was designed in a reusable and low-cost fashion. This simulation model is suitable for high fidelity training in the surgical management of cardiopulmonary traumatic injuries. Conclusion: The described methodology allowed the creation of a simulation model for training and assessment of surgical skills in thoracic trauma. The main compo-nents of the simulation model are made from reusable materials, broadening access to low-cost, high fidelity training.
- ItemEnhancing Feedback Uptake and Self-Regulated Learning in Procedural Skills Training(2024) Villagrán Gutiérrez, Ignacio Andrés; Hernández Román, Rocío Belén; Schuit Condell, Gregory Kees; Neyem, Hugo Andrés; Fuentes Cimma, Javiera Carolina; Larrondo Vergara, María Loreto; Margozzini Delorenzo, Elisa; Hurtado Bunster, María Teresa; Iriarte Vásquez, Zoe; Miranda Mendoza, Constanza Sofía; Varas Cohen, Julián Emanuel; Hilliger Carrasco, IsabelRemote technology has been widely incorporated into health professions education. For procedural skills training, effective feedback and reflection processes are required. Consequently, supporting a self-regulated learning (SRL) approach with learning analytics dashboards (LADs) has proven beneficial in online environments. Despite the potential of LADs, understanding their design to enhance SRL and provide useful feedback remains a significant challenge. Focusing on LAD design, implementation, and evaluation, the study followed a mixed-methods two-phase design-based research approach. The study used a triangulation methodology of qualitative interviews and SRL and sensemaking questionnaires to comprehensively understand the LAD’s effectiveness and student SRL and feedback uptake strategies during remote procedural skills training. Initial findings revealed the value students placed on performance visualization and peer comparison despite some challenges in LAD design and usability. The study also identified the prominent adoption of SRL strategies such as help-seeking, elaboration, and strategic planning. Sensemaking results showed the value of personalized performance metrics and planning resources in the LAD and recommendations to improve reflection and feedback uptake. Subsequent findings suggested that SRL levels significantly predicted the levels of sensemaking. The students valued the LAD as a tool for supporting feedback uptake and strategic planning, demonstrating the potential for enhancing procedural skills learning.
- ItemHome-based training for first-year surgery residents: learning to perform an open manual intestinal anastomosis with remote and asynchronous feedback(2024) Miguieles Schilling, Mariana Andrea; Montero Jaras, Isabella; Valencia Coronel, Brandon; Durán Espinoza, Valentina Alexandra; Gaete Dañobeitia, María Inés; Belmar Riveros, Francisca Andrea; Rodríguez, Natalie; Mena, Felipe; Escalona Vives, Gabriel; Bellolio Roth, Felipe; Jarry Trujillo, Cristian Ignacio; Varas Cohen, Julián EmanuelPurpose This study explores the feasibility of remote training for complex surgical skills through an at-home open manual intestinal anastomosis (MIA) program for 1 year surgery residents. Methods and procedures A quasi-experimental design assessed an open MIA training module. It included (1) an MIA video tutorial, tutored class, and in-person feedback, and (2) at-home training with remote asynchronous feedback. Trainees video-recorded and uploaded their MIA attempts to receive feedback through a digital platform. All program completions between July 2021 and October 2022 were included. Two evaluators, blind to the participants and to the timing of the videos, assessed residents’ performance using global (GRS) and procedure specific (SRS) ratings scales, and measured procedural time. Pre-post analysis utilized first and last uploaded videos. A satisfaction survey gauged residents’ perception. Non-parametric statistics were used (p < 0.05). Results Fourteen residents completed the training program. Pre-post video assessments showed a non-significant trend towards improved GRS and SRS scores, with decreased procedural time. Median GRS scores were 15.75 vs. 15.75 (p = 0.71), and SRS scores were 13.5 vs. 14.5 (p = 0.85). Procedural time decreased from 34 to 32.1 min (p = 0.40). Among survey respondents, 71% found feedback helpful for error correction and skill improvement, and 86% reported increased confidence in performing open MIA. Conclusion Implementing an at-home training program for complex surgical skills is feasible. Remote and asynchronous digital feedback holds promise for enhancing technical skills, though further research is necessary to understand the learning process, and additional training sessions may be needed.
- ItemInovações no treinamento cirúrgico: explorando o papel da inteligência artificial e dos grandes modelos de linguagem (LLM)(2023) Varas Cohen, Julián Emanuel; Valencia Coronel, Brandon; Villagrán Gutiérrez, Ignacio Andrés; Escalona Vivas, Gabriel Enrique; Hernández Román, Rocío Belén; Schuit Condell, Gregory Kees; Duran Espinoza, Valentina Alexandra; Lagos Villaseca, Antonia Elisa; Jarry Trujillo, Cristián Ignacio; Neyem, Hugo Andrés; Achurra Tirado, Pablo AndrésO 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.