Coaching and Individualized Learning in Competency-Based Medical Education: Framework Development and Research Priorities [0.03%]
基于能力的医学教育中的辅导与个性化学习：框架构建和研究重点
Simanjit K Mand,Meg Wolff,Nicole Zamignani et al.
Simanjit K Mand et al.
Introduction: Competency-based medical education (CBME) is a learner-centric and outcomes-based approach to medical training that is essential to improve patient care. Coaching and individualized learning have been propos...
Where Scholarship Falls Short: Assessing Scholarly Productivity in Emergency Medicine Residency Training [0.03%]
科研成果在急诊医学住院医师培训中的局限性及评价指标体系构建
Alina Tsyrulnik,Katarzyna Gore,Michael Zdradzinski et al.
Alina Tsyrulnik et al.
Background: Scholarship is a requirement for Emergency Medicine (EM) residency training. However, there is limited understanding of the rigor and degree to which scholarly requirements are completed by EM residents. The o...
The Breakfast Club: Enhancing Emergency Medicine Education Through Spaced Retrieval and Elaborative Interrogation Techniques [0.03%]
Breakfast Club：通过间隔检索和精加工提问技术增强急诊医学教育
Abigail Alorda,Joseph R Ray,Stephanie Cohen et al.
Abigail Alorda et al.
Background: Emergency medicine (EM) residencies present a challenging educational environment. Despite extensive research supporting cognitive learning strategies such as retrieval practice, spaced repetition, and elabora...
"They Align Themselves With Us, Whereas I'm Aligned With the Patient": A Multi-Site Qualitative Study of Resident Physicians' Experiences With Law Enforcement in the Emergency Department [0.03%]
“他们和我们站在一起，而我站在患者一边”——住院医生关于急诊科执法经历的质性研究
Michelle Suh,Naomi Newton,Beatrice Torres et al.
Michelle Suh et al.
Background: Law enforcement is a common yet complicated presence in the emergency department (ED). Studies have found emergency medicine (EM) attending physicians have varied interactions with and attitudes toward law enf...
A National Survey of Pregnancy and Parental Leave Policies in Pediatric Emergency Medicine Fellowship Programs [0.03%]
美国儿科急诊医学专科医师培训项目中孕期和育儿假政策的全国调查
Julie Leviter,Kimberly A Randell,Rasika Bhamre et al.
Julie Leviter et al.
Background: Knowledge of pregnancy and parental leave practices in US pediatric emergency medicine (PEM) fellowship programs is limited. Occupational exposures of emergency medicine (EM) such as night shifts and high cumu...
Academic Value Units in Emergency Medicine: Current State and a Framework for Recognizing and Sustaining Academic Contributions [0.03%]
急诊医学中的学术价值单位：现状及认可和维系学术贡献的框架
Neha P Raukar,Michael Gottlieb,James Miner et al.
Neha P Raukar et al.
Background: Academic departments in medicine face increasing pressure to balance clinical productivity with their broader academic missions, including education, scholarship, mentorship, and service. While clinical work i...
Board Examination Pass Rates of Emergency Medicine Residency Training Programs: Associations With Founding Year, Teaching Status, Length, and Hospital Ownership [0.03%]
急诊医学住院医师培训计划的董事会考试通过率与成立年份、教学状况、长度和医院所有权的关系
Carlisle E W Topping,Arjun K Venkatesh,Craig Rothenberg et al.
Carlisle E W Topping et al.
Background: Emergency medicine (EM) board certification pass rates have been declining amid a rise in new residency programs-many affiliated with for-profit hospitals or lacking Council of Teaching Hospital (COTH) designa...
High Tide [0.03%]
潮起angleropoulos
Sanché N Mabins
Sanché N Mabins
Benefits and Pitfalls of Non-Work Attending-Resident Socializing: A Literature Review [0.03%]
住院医师非工作社交的利弊：文献回顾
Zachary Mankoff,Xiao Chi Zhang
Zachary Mankoff
Background and objectives: There is currently limited research in unstructured trainee-supervisor relationships within graduate medical education despite extensive literature on formal mentor/mentee relationships. These i...
Using Large Language Model Artificial Intelligence to Enhance Clinical Competency Committee Insight [0.03%]
利用大型语言模型人工智能提高临床胜任力委员会的洞察力
Mark A Pittman,Carl Ehrett,Mirinda A Gormley et al.
Mark A Pittman et al.
Background: Artificial intelligence, particularly large language models, has the potential to enhance the evaluation of residents, yet few studies have compared artificial intelligence to humans in the analysis of large v...