Literature DB >> 32061469

Peer Learning Through Multi-Institutional Case Conferences: Abdominal and Cardiothoracic Radiology Experience.

Ryan A Chow1, Nelly Tan2, Travis S Henry3, Jeffrey P Kanne4, Aarti Sekhar5.   

Abstract

RATIONALE AND
OBJECTIVES: We describe a model of multi-institutional, multisociety, online case conferences that is a case-based group discussion of selected (nonrandom) cases which are subsequently hosted on social media and online platforms (e.g., YouTube, websites) to be available for a wider audience.
MATERIALS AND METHODS: Using online conferencing software (Zoom, GoToMeeting), participants from both abdominal and cardiothoracic radiologists engage in separate, subspecialty one-hour meetings discussing a variety of meaningful cases. Participants take turns presenting their cases to the group and discuss significant findings, interpretations, differential diagnoses, and any other teaching points. All of the case conferences for both societies are recorded and edited to be uploaded on YouTube and their respective websites.
RESULTS: Participants from these conferences log in from 14 institutions in 7 states across the United States. The YouTube videos reach thousands of people around the world. The abdominal case conference on YouTube has received almost 1,300 views with 90 videos uploaded. The thoracic (the Society of Thoracic Radiology) case conference has been running for over 7 years, with 226 videos uploaded to YouTube and 38,200 views, 1426 subscribers, and a total watch time of over 525,800 minutes. Twitter has been utilized by both groups to promote online viewership.
CONCLUSION: Our model is feasible and effective compared to traditional peer review. The cases selected are deliberate and focused on quality improvement and/or education. We harness online engagement, specifically social media presence, which has opened new opportunities to educate our peers and reach a global audience, including the nonradiologic community, to learn about radiology and unique practices.
Copyright © 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Peer learning

Mesh:

Year:  2020        PMID: 32061469     DOI: 10.1016/j.acra.2020.01.015

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  2 in total

1.  Diagnosis in a snap: a pilot study using Snapchat in radiologic didactics.

Authors:  Bradley Spieler; Catherine Batte; Dane Mackey; Caitlin Henry; Raman Danrad; Carl Sabottke; Claude Pirtle; Jason Mussell; Eric Wallace
Journal:  Emerg Radiol       Date:  2020-07-30

2.  Most Adaptable to Change.

Authors:  N Reed Dunnick
Journal:  Acad Radiol       Date:  2020-05-06       Impact factor: 3.173

  2 in total

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