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dc.contributor.authorAwan, O.A.
dc.contributor.authorShaikh, F.
dc.contributor.authorKalbfleisch, B.
dc.date.accessioned2019-11-01T12:49:33Z
dc.date.available2019-11-01T12:49:33Z
dc.date.issued2017
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85023760345&doi=10.1148%2frg.2017160107&partnerID=40&md5=bc342d6d69ab1b34182cc4a650518980
dc.identifier.urihttp://hdl.handle.net/10713/11265
dc.description.abstractAudience 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.en_US
dc.description.urihttps://doi.org/10.1148/rg.2017160107en_US
dc.language.isoen_USen_US
dc.publisherRadiological Society of North America Inc.en_US
dc.relation.ispartofRadiographics
dc.subject.meshComputer-Assisted Instruction--methodsen_US
dc.subject.meshEducation, Medical, Graduate--methodsen_US
dc.subject.meshRadiology--educationen_US
dc.titleRSNA diagnosis live: A novel webbased audience response tool to promote evidence-based learningen_US
dc.typeArticleen_US
dc.identifier.doi10.1148/rg.2017160107
dc.identifier.pmid28696853


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