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Published in: Journal of Digital Imaging 4/2015

01-08-2015

Radiology Teaching Files: an Assessment of Their Role and Desired Features Based on a National Survey

Authors: Brittany Dashevsky, Mia Gorovoy, William J. Weadock, Krishna Juluru

Published in: Journal of Imaging Informatics in Medicine | Issue 4/2015

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Abstract

A radiology teaching file (TF) is a system containing a collection of cases with teaching value. Given the wide variety of TF solutions available, we conducted a national survey to better understand the need for TFs, TF features desired by users and their current implementation. A 28-question survey was created which explored TF implementation, utilization, and preferences among respondents. The survey was emailed to residents and faculty throughout the USA, with a request for program coordinators to forward the survey to their departments. The survey was completed by 396 respondents from 115 different institutions. These respondents included 60 % residents, 21 % attendings (non-program directors), 12 % program directors, 5 % fellows, and 1 % medical students. TFs were assigned to one of three categories: personal TFs, shared in-house TFs, and public TFs. Seventy-six percent of respondents kept a personal TF using a variety of media, and 67 % used a shared in-house TF. Of the public TFs used, the most popular were those requiring paid subscriptions. The features respondents valued most provided efficient querying of cases, simulated basic PACS functionality, enabled self-directed learning, and facilitated case submissions. There is a trend toward utilizing electronic media for TFs. The media utilized should be understood and reviewed to ensure PHI is properly secured. Contemporary users demand a high degree of functionality from TF solutions, and use both in-house and commercial products to meet their needs.
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Metadata
Title
Radiology Teaching Files: an Assessment of Their Role and Desired Features Based on a National Survey
Authors
Brittany Dashevsky
Mia Gorovoy
William J. Weadock
Krishna Juluru
Publication date
01-08-2015
Publisher
Springer US
Published in
Journal of Imaging Informatics in Medicine / Issue 4/2015
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-014-9755-3

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