将放射学教学融入临床实习的合作方法。

IF 1.8 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Clinical Imaging Pub Date : 2024-10-29 DOI:10.1016/j.clinimag.2024.110336
Lily M. Belfi , Anna Starikov , Grace Lo , Bryan C. Leppert , Demitri J. Merianos , Katherine Penziner , Zoe Verzani , June M. Chan
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引用次数: 0

摘要

在这项试点研究中,一个由多学科教育工作者组成的小组描述了他们的合作努力,成功地将放射科医生主导的标准化互动放射学教学课程整合到既定的内科和外科实习课程中,全面提高了学生对放射学概念的认识,以及对放射学在临床护理中作用的理解。
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Collaborative approach to the integration of radiology teaching into clinical clerkships
In this pilot study, a multidisciplinary group of educators describes their collaborative efforts to achieve successful integration of radiologist-led standardized interactive radiology teaching sessions into established Internal Medicine and Surgery clerkship curricula, with an overall improvement of student knowledge of radiology concepts, as well as a perceived improvement in understanding of the role of radiology in clinical care.
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来源期刊
Clinical Imaging
Clinical Imaging 医学-核医学
CiteScore
4.60
自引率
0.00%
发文量
265
审稿时长
35 days
期刊介绍: The mission of Clinical Imaging is to publish, in a timely manner, the very best radiology research from the United States and around the world with special attention to the impact of medical imaging on patient care. The journal''s publications cover all imaging modalities, radiology issues related to patients, policy and practice improvements, and clinically-oriented imaging physics and informatics. The journal is a valuable resource for practicing radiologists, radiologists-in-training and other clinicians with an interest in imaging. Papers are carefully peer-reviewed and selected by our experienced subject editors who are leading experts spanning the range of imaging sub-specialties, which include: -Body Imaging- Breast Imaging- Cardiothoracic Imaging- Imaging Physics and Informatics- Molecular Imaging and Nuclear Medicine- Musculoskeletal and Emergency Imaging- Neuroradiology- Practice, Policy & Education- Pediatric Imaging- Vascular and Interventional Radiology
期刊最新文献
Contents A qualitative, community-based needs assessment to inform the development of a radiology health equity curriculum Prompting large language models for inner gains in radiology studies Evaluating large language models in supporting bone-RADS scoring: accuracy and inter-model agreement Contents
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