首页 文献索引 SCI期刊 AI助手
期刊目录筛选

期刊名:Advances in simulation

缩写:

ISSN:N/A

e-ISSN:2059-0628

IF/分区:3.6/Q2

文章目录 更多期刊信息

共收录本刊相关文章索引440
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Lon Setnik,Yoon Soo Park,Clément Buleon et al. Lon Setnik et al.
Trustworthy simulation-based assessment depends on capable raters-but current approaches to rater training are often resource-intensive, inconsistently effective, and conceptually muddled. In practice, many programs focus on delivering trai...
Angela O&#x;Dea,Paul O&#x;Connor,Sinéad Lydon et al. Angela O&#x;Dea et al.
Background: The unique environments created within healthcare simulations may create distinct health and safety risks for patients, learners, simulation faculty and staff, and other participants involved in these activiti...
Adam Cheng,Sergio Manzano,Johan N Siebert et al. Adam Cheng et al.
Background: In cardiac arrest management, cognitive aids provide prompts to encourage recall of critical information, which may improve clinical performance. Whether cognitive aids influence provider workload, cognitive l...
Michelle A Kelly,David Freer,Lyn Gum Michelle A Kelly
It is widely acknowledged that debriefing within or following simulation-based education promotes reflection on and about practice. Resuming in-person simulations post-COVID-19 in our educational setting revealed that post-simulation debrie...
Michelle Kirrane Scott,Siobhán Lucey,Mide Power et al. Michelle Kirrane Scott et al.
Background: Training is required to build the capacity of future leaders to dismantle disadvantage, influence change and strengthen diversity and inclusion across higher education institutions. The LIBRA pilot project use...
Ben Symon Ben Symon
Background: The healthcare simulation community has rapidly embraced artificial intelligence (AI) and large language models (LLMs) for scenario design, delivery, and debriefing. While discussions have largely centred on e...
José Luis Medina,Gabriel Hervas,Isaach Calduch et al. José Luis Medina et al.
We offer a new interpretive framework to analyze and explain learning processes in real time during discursive interactions in clinical simulation, especially in debriefing. First, we question the computational metaphor of the mind, where t...