Reflections of Simulation-Based Education on the National Core Curriculum of Turkey: A Content Analysis

Archives of Current Medical Research, Journal Year: 2025, Volume and Issue: 6(1), P. 37 - 45

Published: Jan. 30, 2025

Background: Simulation-based education prepares medical students to interact with real patients by resembling environments. There are a variety of methods in simulation-based from low-fidelity high-fidelity, and basic task trainers complicated mixed methods. Although it is not specified whether topic the national core curriculum related or not, National Core Curriculum draws general approach for selecting appropriate learning activities undergraduate education. This study aims reveal adequate simulation topics present tool method selection criteria. Method: A content analysis was conducted qualitative design. The literature review deeply understand principles used as guide evaluate Curriculum. Curriculum-2020 performed structure criteria Results: Several can be according utilization schools. total 20 number main skills were identified suitable matched these at least three alternatives. Conclusion: we covers that every school adopt its facilities. We recommend our resources while developing

Language: Английский

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Elucidating cognitive processes in cardiac arrest team leaders: a virtual reality-based cued-recall study of experts and novices

Annals of Medicine, Journal Year: 2025, Volume and Issue: 57(1)

Published: March 3, 2025

Background Team leadership during medical emergencies like cardiac arrest resuscitation is cognitively demanding, especially for trainees. These cognitive processes remain poorly characterized due to measurement challenges. Using virtual reality simulation, this study aimed elucidate and compare communication processes-such as decision-making, load, perceived pitfalls, strategies-between expert novice code team leaders inform strategies accelerating proficiency development.

Language: Английский

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How the Metaverse Is Shaping the Future of Healthcare Communication: A Tool for Enhancement or a Barrier to Effective Interaction?

Cureus, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

The metaverse is emerging as a transformative force in healthcare communication, integrating virtual reality (VR), augmented (AR), artificial intelligence (AI), and extended to enhance doctor-patient interactions, interprofessional collaboration, medical education, surgical planning. By providing immersive, interactive, data-driven environments, the could facilitate real-time consultations, remote assistance, simulation-based training, overcoming traditional geographical logistical barriers. Despite these advancements, skepticism persists regarding metaverse's true benefit fostering meaningful human interaction. Some critics argue that interfaces risk alienating eroding depth of relationships rather than strengthening them. concern remains digital mediation might replace presence, diminishing nuances empathy trust inherent face-to-face interactions. Economic constraints, technological disparities, potential reduction direct interaction can complicate widespread adoption. perspectives suggest that, if strategically implemented, foster more human, authentic, profound relationship by reducing administrative burdens allowing physicians focus on patient care. While holds promise for revolutionizing healthcare, its long-term success depends responsible implementation, equitable access, strategic integration into existing frameworks. In this paper, we aim critically evaluate both sides debate, synthesizing evidence clarify role future communication.

Language: Английский

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Rallying for Reflection: Pilot Use of Rubric to Facilitate Self‐Reflection in Dental Education

European Journal Of Dental Education, Journal Year: 2025, Volume and Issue: unknown

Published: March 23, 2025

ABSTRACT Introduction Despite its utility, peer feedback within higher education curricula has not demonstrated a consistent correlation with academic performance. Student self‐reflection may be one factor of influence, as one's metacognitive assessment can alter perception and processing. Yet, formal instruction on reflection remains rare. This single‐subject study assesses the level students' self‐reflective capabilities through adaptation pilot use rubric based Korthagen's ALACT model. Materials Methods A total 125 third‐year dental students enrolled in diagnostic sciences course received case‐based assignment. Subsequently, reviewees completed four domains their performance (examination, reasoning, treatment planning resource utilisation). Two evaluators experienced adapted an ALACT‐based to score reflections assess frequency complete self‐reflection, most commonly missed elements incidence neglecting feedback. Results Of students, 60 (48%) submitted at least domains, only 1 student (0.08%) submitting all four. The neglected area was inclusion rationale for proposed future improvements, average 33/125 (26%) expressing significance plans. Furthermore, 13/125 (10%) failed address peer‐suggested shortcomings. Conclusions Current findings demonstrate that is rarely performed completion, which impact integration We propose framework encouraging evaluating assessment, applicable both didactic clinical settings, means set clinicians up success.

Language: Английский

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From communication to action: using ordered network analysis to model team performance in clinical simulation

BMC Medical Education, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 3, 2025

Effective team communication is crucial for managing medical emergencies like malignant hyperthermia (MH), but current assessment methods fail to capture the dynamic and temporal nature of teamwork processes. The lack reliable measures inform feedback teams likely limiting overall effectiveness simulation training. This study demonstrates application ordered network analysis (ONA) model sequences during simulated MH scenario. Twenty-two anesthesiologists participated in video-recorded simulations. Each scenario involved one participant as primary anesthesiologist with confederates supporting roles. Team was coded using Reflection Behavioral Observation (TuRBO) framework, capturing behaviors related information gathering, evaluation, planning, implementation. ONA modeled these networks. Teams were classified high- or low-performing based on timely dantrolene administration appropriate treatment actions. Network visualizations statistical tests compared patterns between groups. Five 22 (23%) high-performing. revealed high-performers transitioned more effectively from situation (information seeking/evaluation) planning implementation, while low-performers cycled without progressing (p = 0.04, Cohen's d 1.72). High-performers demonstrated stronger associations invited input, explicitly assessing situation, stating plans, Integrating video coding provides an innovative approach examining behaviors. Leveraging can uncover timing sequences, guiding targeted interventions improve coordination various real-world clinical settings (e.g., operating room, EMS, ICU).

Language: Английский

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Artificial intelligence technology in ophthalmology public health: current applications and future directions

Frontiers in Cell and Developmental Biology, Journal Year: 2025, Volume and Issue: 13

Published: April 17, 2025

Global eye health has become a critical public challenge, with the prevalence of blindness and visual impairment expected to rise significantly in coming decades. Traditional ophthalmic systems face numerous obstacles, including uneven distribution medical resources, insufficient training for primary healthcare workers, limited awareness health. Addressing these challenges requires urgent, innovative solutions. Artificial intelligence (AI) demonstrated substantial potential enhancing across various domains. AI offers significant improvements data management, disease screening monitoring, risk prediction early warning systems, resource allocation, education patient management. These advancements substantially improve quality efficiency healthcare, particularly preventing treating prevalent conditions such as cataracts, diabetic retinopathy, glaucoma, myopia. Additionally, telemedicine mobile applications have expanded access services enhanced capabilities providers. However, there are integrating into Key issues include interoperability electronic records (EHR), security privacy, bias, algorithm transparency, ethical regulatory frameworks. Heterogeneous formats lack standardized metadata hinder seamless integration, while privacy risks necessitate advanced techniques anonymization. Data biases, stemming from racial or geographic disparities, "black box" nature models, limit reliability clinical trust. Ethical issues, ensuring accountability AI-driven decisions balancing innovation safety, further complicate implementation. The future lies overcoming barriers fully harness AI, that technology translate tangible benefits patients worldwide.

Language: Английский

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