Medical student learning

Recent research suggests that serious gaming is a promising strategy for interprofessional education (IPE). This report describes the design and pilot testing of a large-scale, mobile, technology-enhanced serious game embedded in the IPE curriculum in Geneva, Switzerland. Organized into teams of eight, the students were tasked with finding a young patient who had just escaped from the intensive care unit. Through a series of 10 stations, they explored hospital- and community-based locations of the healthcare system and were engaged in various learning and game activities; they were rewarded with cues to unveil the mystery...

First-year medical students are often challenged by the rapid pace and large volume of content that must be learned. Peer teaching has emerged as a supportive educational strategy. However, the most effective strategies for training peer tutors (PTs) for their role are not known. This paper examines the use of an Objective Structured Teaching Exercise (OSTE) to augment PT training sessions. Applying deliberate practice as a conceptual framework, an OSTE was used to provide tutors with an opportunity to practice their skills and receive feedback about their performance when meeting with a student presenting with a challenge...

Objectives: To describe the implementation of a successful two-week virtual breastfeeding elective for medical students during the COVID-19 pandemic and characterize student demographics, objective knowledge, and perspectives on breastfeeding before and after the elective. Study Design: We adapted the Santa Rosa Kaiser Permanente Family Medicine breastfeeding residency curriculum to create a two-week virtual medical student elective using Kern's six steps of curriculum development and a competency-based education framework...

BACKGROUND: Electrocardiography (ECG) interpretation is a fundamental skill for medical students and practicing medical professionals. Recognizing ECG pathologies promptly allows for quick intervention, especially in acute settings where urgent care is needed. However, many medical students find ECG interpretation and understanding of the underlying pathology challenging, with teaching methods varying greatly. OBJECTIVE: This study involved the development of novel animations demonstrating the passage of electrical activity for well-described cardiac pathologies and showcased them alongside the corresponding live ECG traces during a web-based tutorial for final-year medical students...

Anatomical variation is an inherent part of every health curriculum, due in large to the negative clinical consequences that can ensue if anatomical variation is not thoroughly understood. However, current literature fails to describe any structured whole-of-course pedagogy for the teaching of anatomical variation in higher education. This study therefore aimed to (i) propose a whole-of-course curriculum framework to guide academic development and implementation of anatomical variation resources and assessment; and (ii) assess the depth of anatomical variation knowledge in a multiyear undergraduate health-science cohort (n = 152) at the Queensland University of Technology...

BACKGROUND: Feedback processes are crucial for learning, guiding improvement, and enhancing performance. In workplace-based learning settings, diverse teaching and assessment activities are advocated to be designed and implemented, generating feedback that students use, with proper guidance, to close the gap between current and desired performance levels. Since productive feedback processes rely on observed information regarding a student's performance, it is imperative to establish structured feedback activities within undergraduate workplace-based learning settings...

BACKGROUND: The learning curve in minimally invasive surgery (MIS) is lengthened compared to open surgery. It has been reported that structured feedback and training in teams of two trainees improves MIS training and MIS performance. Annotation of surgical images and videos may prove beneficial for surgical training. This study investigated whether structured feedback and video debriefing, including annotation of critical view of safety (CVS), have beneficial learning effects in a predefined, multi-modal MIS training curriculum in teams of two trainees...

In the field of skin lesion image segmentation, accurate identification and partitioning of diseased regions is of vital importance for in-depth analysis of skin cancer. Self-supervised learning, i.e., MAE, has emerged as a potent force in the medical imaging domain, which autonomously learns and extracts latent features from unlabeled data, thereby yielding pre-trained models that greatly assist downstream tasks. To encourage pre-trained models to more comprehensively learn the global structural and local detail information inherent in dermoscopy images, we introduce a Teacher-Student architecture, named TEDMAE, by incorporating a self-distillation mechanism, it learns holistic image feature information to improve the generalizable global knowledge learning of the student MAE model...

OBJECTIVE: Developing a nursing undergraduate blended teaching quality evaluation tool based on the Context, Input, Process and Product model and evaluating its reliability and validity. BACKGROUND: Blended teaching is a commonly used teaching method in medical education, but there are limited tools available to effectively measure the quality of blended teaching. DESIGN: A Delphi study and cross-sectional study. METHODS: Using the Context, Input, Process and Product model as the theoretical framework, a questionnaire was developed through literature review, expert consultation and pre-survey...

PURPOSE: The use of 3D-printing in every field of medicine is expanding, notably as an educational tool. The aim of this study was to assess how visuospatial abilities (VSA) of students may impact learning helped with 3D-printed models. METHODS: Participants were undergraduate medical school students during their clinical rotation in oral and maxillofacial surgery in two French Universities. Students were included prospectively and consecutively from September 2021 to June 2023...

INTRODUCTION: Many educators have adopted the Promoting Excellence and Reflective Learning in Simulation (PEARLS) model to guide debriefing sessions in simulation-based learning. The PEARLS Debriefing Checklist (PDC), a 28-item instrument, and the PEARLS Debriefing Adherence Rubric (PDAR), a 13-item instrument, assess facilitator adherence to the model. The aims of this study were to collect evidence of concurrent validity and to evaluate their unique strengths. METHODS: A review of 130 video recorded debriefings from a synchronous high-fidelity mannequin simulation event involving third-year medical students was undertaken...

BACKGROUND: A number of recommendations for the teaching of biostatistics have been published to date, however, student opinion on them has not yet been studied. For this reason, the aim of the manuscript was to find out the opinions of medical students at universities in Poland on two forms of teaching biostatistics, namely traditional and practical, as well as to indicate, on the basis of the results obtained, the related educational recommendations. METHODS: The study involved a group of 527 students studying at seven medical faculties in Poland, who were asked to imagine two different courses...

BACKGROUND: Medical school curricula strive to train community-engaged and culturally competent physicians, and many use service learning to instill these values in students. The current standards for medical service learning frameworks have opportunities for improvement, such as encouraging students to have more sustainable and reciprocal impact and to ingrain service learning as a value to carry throughout their careers rather than a one-time experience. PEDS 220: A COVID-19 Elective is a Stanford University course on the frontlines of this shift; it provides timely education on the COVID-19 pandemic, integrating community-oriented public health work to help mitigate its impact...

BACKGROUND: Artificial intelligence (AI) tools are designed to create or generate content from their trained parameters using an online conversational interface. AI has opened new avenues in redefining the role boundaries of teachers and learners and has the potential to impact the teaching-learning process. METHODS: In this descriptive proof-of- concept cross-sectional study we have explored the application of three generative AI tools on drug treatment of hypertension theme to generate: (1) specific learning outcomes (SLOs); (2) test items (MCQs- A type and case cluster; SAQs; OSPE); (3) test standard-setting parameters for medical students...

BACKGROUND: The integration of Objective Structured Clinical Examinations (OSCEs) within the professional pharmacy program, contributes to assessing the readiness of pharmacy students for Advanced Pharmacy Practice Experiences (APPEs) and real-world practice. METHODS: In a study conducted at an Accreditation Council for Pharmacy Education (ACPE)-accredited Doctor of Pharmacy professional degree program, 69 students in their second professional year (P2) were engaged in OSCEs...

OBJECTIVES: Continuous curriculum improvements reveal the dedication of policy-makers to raising the quality of education and student learning. This study aims to report the impact of curriculum changes to the three-month pediatric course curriculum at Shahid Beheshti University of Medical Sciences (SBMU) on the satisfaction levels of medical students. METHODS: One hundred eighteen 4th -5th years medical students, who had completed their pediatric clinical rotation in SBMU-affiliated teaching hospitals including Mofid Children Hospital, Loghman Hakim Hospital, Shohada-e-Tajrish Hospital, and Imam Hossein Hospital from January to December 2022 were included in this cross-sectional study...

BACKGROUND: Work-integrated learning (WIL) is widely accepted and necessary to attain the essential competencies healthcare students need at their future workplaces. Yet, competency-based education (CBE) remains complex. There often is a focus on daily practice during WIL. Hereby, continuous competency development is at stake. Moreover, the fact that competencies need to continuously develop is often neglected. OBJECTIVES: To ultimately contribute to the optimization of CBE in healthcare education, this study aimed at examining how competency development during WIL in healthcare education could be optimized, before and after graduation...

WHAT WAS THE EDUCATIONAL CHALLENGE?: Diminishing emphasis on pharmacology education in medical schools has resulted in a concerning lack of prescribing knowledge among physician graduates. These concerns mirror our graduates' expressed dissatisfaction with the structure and quality of pharmacology educational experiences over the past 5 years. WHAT WAS THE SOLUTION?: PharmaCORE, a web-based instructional dashboard, was developed as an interactive faculty development tool to enhance integration and instruction of pharmacology content in pre-clinical curriculum at a US medical school...

PURPOSE: Student study behaviours that prioritise the UKMLA content map over the local curriculum are a significant risk for UK medical education. To mitigate this, we describe a student-centred faculty process to improve local curriculum guidance based on an evaluation of student study behaviours, concerns and needs. Responses informed the build of an online curriculum map. METHODS: A mixed methods approach was adopted, including an online anonymous survey exploring student study behaviours and preferences for curricular guidance...

Due to the high suitability of semi-supervised learning for medical image segmentation, a plethora of valuable research has been conducted and has achieved noteworthy success in this field. However, many approaches tend to confine their focus to a singular semi-supervised framework, thereby overlooking the potential enhancements in segmentation performance offered by integrating several frameworks. In this paper, we propose a novel semi-supervised framework named Pesudo-Label Mean Teacher (PLMT), which synergizes the self-training pipeline with pseudo-labeling and consistency regularization techniques...