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Published in: Journal of Digital Imaging 5/2011

01-10-2011

Orion: A Web-Based Application Designed to Monitor Resident and Fellow Performance On-Call

Authors: Jason N. Itri, Woojin Kim, Mary H. Scanlon

Published in: Journal of Imaging Informatics in Medicine | Issue 5/2011

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Abstract

Radiology residency and fellowship training provides a unique opportunity to evaluate trainee performance and determine the impact of various educational interventions. We have developed a simple software application (Orion) using open-source tools to facilitate the identification and monitoring of resident and fellow discrepancies in on-call preliminary reports. Over a 6-month period, 19,200 on-call studies were interpreted by 20 radiology residents, and 13,953 on-call studies were interpreted by 25 board-certified radiology fellows representing eight subspecialties. Using standard review macros during faculty interpretation, each of these reports was classified as “agreement”, “minor discrepancy”, and “major discrepancy” based on the potential to impact patient management or outcome. Major discrepancy rates were used to establish benchmarks for resident and fellow performance by year of training, modality, and subspecialty, and to identify residents and fellows demonstrating a significantly higher major discrepancy rate compared with their classmates. Trends in discrepancies were used to identify subspecialty-specific areas of increased major discrepancy rates in an effort to tailor the didactic and case-based curriculum. A series of missed-case conferences were developed based on trends in discrepancies, and the impact of these conferences is currently being evaluated. Orion is a powerful information technology tool that can be used by residency program directors, fellowship programs directors, residents, and fellows to improve radiology education and training.
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Metadata
Title
Orion: A Web-Based Application Designed to Monitor Resident and Fellow Performance On-Call
Authors
Jason N. Itri
Woojin Kim
Mary H. Scanlon
Publication date
01-10-2011
Publisher
Springer-Verlag
Published in
Journal of Imaging Informatics in Medicine / Issue 5/2011
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-011-9360-7

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