RSNA Diagnosis Live: A Novel Web-based Audience Response Tool to Promote Evidence-based Learning

被引:16
作者
Awan, Omer A. [1 ,2 ,3 ]
Shaikh, Faiq [4 ]
Kalbfleisch, Brian [5 ]
Siegel, Eliot L. [3 ]
Chang, Paul [6 ]
机构
[1] Temple Univ Hosp & Med Sch, Dept Radiol, 3401 N Broad St, Philadelphia, PA 19140 USA
[2] Temple Univ, Lewis Katz Sch Med, Dept Radiol, Philadelphia, PA 19122 USA
[3] Univ Maryland, Sch Med, Dept Radiol, Baltimore, MD 21201 USA
[4] Univ Pittsburgh, Med Ctr, Dept Radiol & Informat, Pittsburgh, PA USA
[5] Radiol Soc North Amer, Dept Informat Technol, Oak Brook, IL USA
[6] Univ Chicago, Med Ctr, Dept Radiol, Chicago, IL 60637 USA
关键词
SYSTEM; ATTITUDES; RESIDENTS; EDUCATION;
D O I
10.1148/rg.2017160107
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Audience response systems have become more commonplace in radiology residency programs in the last 10 years, as a means to engage learners and promote improved learning and retention. A variety of systems are currently in use. RSNA Diagnosis Live (TM) provides unique features that are innovative, particularly for radiology resident education. One specific example is the ability to annotate questions with subspecialty tags, which allows resident performance to be tracked over time. In addition, deficiencies in learning can be monitored for each trainee and analytics can be provided, allowing documentation of resident performance improvement. Finally, automated feedback is given not only to the instructor, but also to the trainee. Online supplemental material is available for this article. (C)RSNA, 2017.
引用
收藏
页码:1111 / 1118
页数:8
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