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    Radiology Education in the Time of COVID-19: A Novel Distance Learning Workstation Experience for Residents

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    Author
    McRoy, Casey
    Patel, Lakir
    Gaddam, Durga Sivacharan
    Rothenberg, Steven
    Herring, Allison
    Hamm, Jacob
    Chelala, Lydia
    Weinstein, Joseph
    Smith, Elana
    Awan, Omer
    Date
    2020-08-08
    Journal
    Academic Radiology
    Publisher
    Elsevier USA
    Type
    Article
    
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    See at
    https://doi.org/10.1016/j.acra.2020.08.001
    Abstract
    Rationale and Objectives: The coronavirus disease of 2019 (COVID-19) pandemic has challenged the educational missions of academic radiology departments nationwide. We describe a novel cloud-based HIPAA compliant and accessible education platform which simulates a live radiology workstation for continued education of first year radiology (R1) residents, with an emphasis on call preparation and peer to peer resident learning. Materials and Methods: Three tools were used in our education model: Pacsbin (Orion Medical Technologies, Baltimore, MD, pacsbin.com), Zoom (Zoom Video Communications, San Jose, CA, zoom.us), and Google Classroom (Google, Mountain View, CA, classroom.google.com). A senior radiology resident (R2-R4) (n = 7) driven workflow was established to provide scrollable Digital Imaging and Communications in Medicine (DICOM) based case collections to the R1 residents (n = 9) via Pacsbin. A centralized classroom was created using Google Classroom for assignments, reports, and discussion where attending radiologists could review content for accuracy. Daily case collections over an 8-week period from March to May were reviewed via Zoom video conference readout in small groups consisting of a R2-R4 teacher and R1 residents. Surveys were administered to R1 residents, R2-4 residents, and attending radiologist participants. Results: Hundred percent of R1 residents felt this model improved their confidence and knowledge to take independent call. Seventy-eight percent of the R1 residents (n = 7/9) demonstrated strong interest in continuing the project after pandemic related restrictions are lifted. Based on a Likert “helpfulness” scale of 1-5 with 5 being most helpful, the project earned an overall average rating of 4.9. Two R2-R4 teachers demonstrated increased interest in pursuing academic radiology. Conclusion: In response to unique pandemic circumstances, our institution implemented a novel cloud-based distance learning solution to simulate the radiology workstation. This platform helped continue the program's educational mission, offered first year residents increased call preparation, and promoted peer to peer learning. This approach to case-based learning could be used at other institutions to educate residents.
    Sponsors
    University of Maryland
    Keyword
    Cloud-based
    Education
    Pandemic
    Technology
    Workstation
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/13618
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.acra.2020.08.001
    Scopus Count
    Collections
    UMB Coronavirus Publications
    UMB Open Access Articles 2020

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