MedStar Authors catalog › Details for: Minimizing Barriers in Learning for On-Call Radiology Residents-End-to-End Web-Based Resident Feedback System.
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Minimizing Barriers in Learning for On-Call Radiology Residents-End-to-End Web-Based Resident Feedback System.

by Filice, Ross W.
Citation: Journal of Digital Imaging. 31(1):117-123, 2018 02..Journal: Journal of digital imaging.Published: ; 2018ISSN: 0897-1889.Full author list: Choi HH; Clark J; Jay AK; Filice RW.UI/PMID: 28840360.Subject(s): Clinical Competence | *Computer-Assisted Instruction/mt [Methods] | *Formative Feedback | Humans | *Internet | *Internship and Residency | *Learning | *Radiology/ed [Education]Institution(s): MedStar Washington Hospital Center | MedStar Good Smaritan Hospital | MedStar Union Memorial Hospital | MedStar Montgomery Medical CenterDepartment(s): RadiologyActivity type: Journal Article.Medline article type(s): Journal ArticleDigital Object Identifier: https://dx.doi.org/10.1007/s10278-017-0015-1 (Click here) Abbreviated citation: ; J Digit Imaging. 31(1):117-123, 2018 02.Abstract: Feedback is an essential part of medical training, where trainees are provided with information regarding their performance and further directions for improvement. In diagnostic radiology, feedback entails a detailed review of the differences between the residents' preliminary interpretation and the attendings' final interpretation of imaging studies. While the on-call experience of independently interpreting complex cases is important to resident education, the more traditional synchronous "read-out" or joint review is impossible due to multiple constraints. Without an efficient method to compare reports, grade discrepancies, convey salient teaching points, and view images, valuable lessons in image interpretation and report construction are lost. We developed a streamlined web-based system, including report comparison and image viewing, to minimize barriers in asynchronous communication between attending radiologists and on-call residents. Our system provides real-time, end-to-end delivery of case-specific and user-specific feedback in a streamlined, easy-to-view format. We assessed quality improvement subjectively through surveys and objectively through participation metrics. Our web-based feedback system improved user satisfaction for both attending and resident radiologists, and increased attending participation, particularly with regards to cases where substantive discrepancies were identified.

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