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Introducción. La insuficiencia respiratoria es la causa más común de paro cardíaco en pediatría; su reconocimiento y el manejo adecuado son cruciales. La simulación se utiliza para mejorar las habilidades médicas. El objetivo del trabajo fue determinar la proporción de residentes de pediatría que reconocieron un paro respiratorio (PR) pediátrico en un centro de simulación. Métodos. Se realizó un estudio observacional con 77 médicos residentes. Se utilizó un caso simulado de un paciente con dificultad respiratoria que progresa a PR. Resultados. De los 77 participantes, 48 reconocieron el paro respiratorio (62,3 %). El tiempo medio para reconocer el PR fue de 34,43 segundos. Conclusión. El 62,3 % de los participantes logró reconocer el paro respiratorio. Entre aquellos que lo identificaron, el tiempo promedio fue de 34,43 segundos. Se observaron graves deficiencias en algunas de las intervenciones esperadas.

Introduction. Respiratory failure is the most common cause of cardiac arrest in pediatrics. Recognizing and managing it adequately is critical. Simulation is used to improve medical skills. The objective of this study was to establish the proportion of pediatric residents who recognized a respiratory arrest in a child at a simulation center. Methods. This was an observational study in 77 residents. A simulation of a patient with respiratory distress that progressed to respiratory arrest was used. Results. Among the 77 participants, 48 recognized respiratory arrest (62.3%). The mean time to recognize respiratory arrest was 34.43 seconds. Conclusion. Respiratory arrest was recognized by 62.3% of participants. Among those who did so, the average time was 34.43 seconds. Severe failures were noted in some of the expected interventions.

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The rapid advancement of Artificial Intelligence (AI) has taken the world by "surprise" due to the lack of regulation over this technological innovation which, while promising application opportunities in different fields of knowledge, including education, simultaneously generates concern, rejection and even fear. In the field of Health Sciences Education, clinical simulation has transformed educational practice; however, its formal insertion is still heterogeneous, and we are now facing a new technological revolution where AI has the potential to transform the way we conceive its application.

El rápido avance de la inteligencia artificial (IA) ha tomado al mundo por "sorpresa" debido a la falta de regulación sobre esta innovación tecnológica, que si bien promete oportunidades de aplicación en diferentes campos del conocimiento, incluido el educativo, también genera preocupación e incluso miedo y rechazo. En el campo de la Educación en Ciencias de la Salud la Simulación Clínica ha transformado la práctica educativa; sin embargo, aún es heterogénea su inserción formal, y ahora nos enfrentamos a una nueva revolución tecnológica, en la que las IA tienen el potencial de transformar la manera en que concebimos su aplicación.

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Introduction: Ensuring patient safety in minimally invasive surgery (MIS) within the field of pediatric surgery requires systematic and extensive practice. Many groups have proposed mastery learning programs encompassing a range of training methods. However, short courses often have a narrow focus on specific objectives, limiting opportunities for sustained training. Our aim was to analyze our results with an online long-term competency-based and supervised training. Methods: This is a retrospective cohort study with prospective data collection of scores and performance of trainees during online courses from October 2020 to April 2023. Results: All participants (n = 76) were able to set up their personal training gym and complete the intensive stage of the course. The total score evolved from 2.60 ± 0.56 at the first meeting to 3.67 ± 0.61 at the fourth meeting, exhibiting a significant difference (P < .013). A considerable drop out was observed in the follow-up stage, with only 53.8% of the participants completing the course. When compared with the first meeting, they also showed a significant improvement with a mean general score of 3.85 ± 0.25 (P < .013) Conclusion: We have presented a novel online training program, based on continuous training that demonstrated that the unlimited access to a personal training gym allows surgeons to improve and maintain MIS skills.

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Introduction. Respiratory failure is the most common cause of cardiac arrest in pediatrics. Recognizing and managing it adequately is critical. Simulation is used to improve medical skills. The objective of this study was to establish the proportion of pediatric residents who recognized a respiratory arrest in a child at a simulation center. Methods. This was an observational study in 77 residents. A simulation of a patient with respiratory distress that progressed to respiratory arrest was used. Results. Among the 77 participants, 48 recognized respiratory arrest (62.3%). The mean time to recognize respiratory arrest was 38.16 seconds. Conclusion. Respiratory arrest was recognized by 62.3% of participants. Among those who did so, the average time was 38.16 seconds. Severe failures were noted in some of the expected interventions.

Introducción. La insuficiencia respiratoria es la causa más común de paro cardíaco en pediatría; su reconocimiento y el manejo adecuado son cruciales. La simulación se utiliza para mejorar las habilidades médicas. El objetivo del trabajo fue determinar la proporción de residentes de pediatría que reconocieron un paro respiratorio (PR) pediátrico en un centro de simulación. Métodos. Se realizó un estudio observacional con 77 médicos residentes. Se utilizó un caso simulado de un paciente con dificultad respiratoria que progresa a PR. Resultados. De los 77 participantes, 48 reconocieron el paro respiratorio (62,3 %). El tiempo medio para reconocer el PR fue de 38,16 segundos. Conclusión. El 62,3 % de los participantes logró reconocer el paro respiratorio. Entre aquellos que lo identificaron, el tiempo promedio fue de 38,16 segundos. Se observaron graves deficiencias en algunas de las intervenciones esperadas.

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OBJECTIVE: The frequency of intracranial bypass procedures has declined. Thus it is difficult for neurosurgeons to develop the necessary skills for this complex procedure. We present a perfusion-based cadaveric model to provide a realistic training experience with high anatomic and physiological fidelity, as well as instantaneous assessment of bypass patency. Validation was assessed by evaluating the educational impact and skill improvement of the participants. METHODS: Fourteen participants attended a hands-on revascularization course with 7 cadaveric models connected to a continuous arterial circulation system pumping a red-colored solution through the entire cranial vasculature, mimicking blood circulation. The ability to perform a vascular anastomosis was evaluated initially. Further, a questionnaire on prior experience was provided. At the end of the 36-hour course, the ability to perform an intracranial bypass was reexamined and the participants completed a self-assessment questionnaire. RESULTS: Initially, only 3 attendees were able to perform an end-to-end anastomosis within the time limit, and only 2 of these anastomoses showed adequate patency. After having accomplished the course, all participants were able to complete a patent end-to-end anastomosis within the time limit, thus demonstrating a significant improvement. Further, both overall educational gain and surgical skills were regarded as remarkable (n = 11 and n = 9). CONCLUSIONS: Simulation-based education is considered an important aspect of medical and surgical development. The presented model is a feasible and accessible alternative to the prior models used for cerebral bypass training. This training may serve as a helpful and widely available tool to improve neurosurgeons' development irrespective of financial resources.

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BACKGROUND: Traditionally, technical proficiency for spinal anesthesia has been assessed using observational scales such as global rating scales or task specific checklists. However more objective metrics are required in order to improve novice's training programs. The aim of this study is to validate the hand motion analysis of the Imperial College Surgical Assessment Device (ICSAD) in a simulated model of spinal anesthesia. METHODS: Three groups of physicians with different levels of experience were video recorded performing a spinal anesthesia in a simulated lumbar puncture torso. Participants' technical performance was assessed with ICSAD, a Global Rating Scale (GRS) and a specific Checklist. Differences between the 3 groups were determined by Kruskal-Wallis test with post hoc Dunn's correction for multiple comparisons. Spearman correlation coefficient between ICSAD variables and the scores of the observational scales were calculated to establish concurrent validity. RESULTS: Thirty subjects participated in the study: ten novice (first year residents), 10 intermediate (third year residents) and 10 experts (attending anesthesiologists). GRS scores were significantly higher in experts, than intermediates and novices. Regarding total path length, number of movements and procedural time measured with ICSAD, all groups had significant differences between them (p = 0.026, p = 0.045 and p = 0.005 respectively). Spearman correlation coefficient was -0,46 (p = 0.012) between total path length measured with ICSAD and GRS scores. CONCLUSIONS: This is the first validation study of ICSAD as an assessment tool for spinal anesthesia in a simulated model. Using ICSAD can discriminate proficiency between expert and novices and correlates with previously validated GRS. Its use in the assessment of spinal anesthesia proficiency provides complementary data to existing tools. Our results could be used to design future training programs with reliable goals to accomplish.

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OBJECTIVE: To create scenarios of simulated decompensating pediatric patients to train pediatric rapid response teams (RRTs) and to determine whether the scenario scores provide a valid assessment of RRT performance with the hypothesis that RRTs led by intensivists-in-training would be better prepared to manage the scenarios than teams led by nurse practitioners. STUDY DESIGN: A set of 10 simulated scenarios was designed for the training and assessment of pediatric RRTs. Pediatric RRTs, comprising a pediatric intensive care unit (PICU) registered nurse and respiratory therapist, led by a PICU intensivist-in-training or a pediatric nurse practitioner, managed 7 simulated acutely decompensating patients. Two raters evaluated the scenario performances and psychometric analyses of the scenarios were performed. RESULTS: The teams readily managed scenarios such as supraventricular tachycardia and opioid overdose but had difficulty with more complicated scenarios such as aortic coarctation or head injury. The management of any particular scenario was reasonably predictive of overall team performance. The teams led by the PICU intensivists-in-training outperformed the teams led by the pediatric nurse practitioners. CONCLUSIONS: Simulation provides a method for RRTs to develop decision-making skills in managing decompensating pediatric patients. The multiple scenario assessment provided a moderately reliable team score. The greater scores achieved by PICU intensivist-in-training-led teams provides some evidence to support the validity of the assessment.

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