Literature DB >> 28696853

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

Omer A Awan1, Faiq Shaikh1, Brian Kalbfleisch1, Eliot L Siegel1, Paul Chang1.   

Abstract

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™ 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. © RSNA, 2017.

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Year:  2017        PMID: 28696853     DOI: 10.1148/rg.2017160107

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  1 in total

1.  Artificial Intelligence-Powered Clinical Decision Support and Simulation Platform for Radiology Trainee Education.

Authors:  Chintan Shah; Karapet Davtyan; Ilya Nasrallah; R Nick Bryan; Suyash Mohan
Journal:  J Digit Imaging       Date:  2022-10-24       Impact factor: 4.903

  1 in total

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