The vision of the recently created Canadian Association of Emergency Physicians (CAEP) Academic Section is to promote high-quality emergency patient care by conducting world-leading education and research in emergency medicine. The Academic Section plans to achieve this goal by enhancing academic emergency medicine primarily at Canadian medical schools and teaching hospitals. It seeks to foster and develop education, research, and academic leadership amongst Canadian emergency physicians, residents, and students. In this light, the Academic Section began in 2013 to hold the annual Academic Symposia to highlight best practices and recommendations for the three core domains of governance and leadership, education scholarship, and research. Each year, members of three panels are asked to review the literature, survey and interview experts, achieve consensus, and present their recommendations at the Symposium (2013, Education Scholarship; 2014, Research; and 2015, Governance and Funding). Research is essential to medical advancement. As a relatively young specialty, emergency medicine is rapidly evolving to adapt to new diagnostic tools, the challenges of crowding in emergency departments, and the growing needs of emergency patients. There is significant variability in the infrastructure, support, and productivity of emergency medicine research programs across Canada. All Canadians benefit from an investigation of the means to improve research infrastructure, training programs, and funding opportunities. Such an analysis is essential to identify areas for improvement, which will support the expansion of emergency medicine research. To this end, physician-scientist leaders were gathered from across Canada to develop pragmatic recommendations on the improvement of emergency medicine research through a comprehensive analysis of current best practices, systematic literature reviews, stakeholder surveys, and expert interviews.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1017/cem.2015.59 | DOI Listing |
Int J Surg
January 2025
Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Linkou; Chang Gung University, Taoyuan, Taiwan.
Background: Detecting kidney trauma on CT scans can be challenging and is sometimes overlooked. While deep learning (DL) has shown promise in medical imaging, its application to kidney injuries remains underexplored. This study aims to develop and validate a DL algorithm for detecting kidney trauma, using institutional trauma data and the Radiological Society of North America (RSNA) dataset for external validation.
View Article and Find Full Text PDFJAMA
January 2025
Division of Hematology, Brigham and Women's Hospital, Boston, Massachusetts.
JAMA Intern Med
January 2025
Harvard Medical School, Boston, Massachusetts.
JAMA Intern Med
January 2025
Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Importance: There are no validated decision rules for terminating resuscitation during in-hospital cardiac arrest. Decision rules may guide termination and prevent inappropriate early termination of resuscitation.
Objective: To develop and validate termination of resuscitation rules for in-hospital cardiac arrest.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!