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Informatics in Radiology (infoRAD)

Vendor-Neutral Case Input into a Server-based Digital Teaching File System¹

¹ From the Department of Biomedical Informatics, University of Utah, 26 South 2000 East HSEB 5700, Salt Lake City, UT 84112-5750 (A.W.C.K., S.L.D.); the Departments of Psychiatry (R.J.R.) and Radiology (R.H.W., D.E.A.), University of Utah Health Sciences Center, Salt Lake City; and the Utah Center for Advanced Imaging Research, Center for Advanced Medical Imaging, Salt Lake City (A.P.L.). Received February 15, 2006; revision requested June 2; final revision received August 15; accepted August 16. Supported in part by training grant 2T15 LM07124 from the National Library of Medicine, National Institutes of Health; the Educational Computing Committee at the University of Utah School of Medicine; and Amirsys, Salt Lake City. S.L.D., A.P.L., R.H.W., and D.E.A. are consultants to Amirsys; R.H.W. and D.E.A. are also stockholders in Amirsys. Address correspondence to A.W.C.K. (e-mail: Aaron.Kamauu{at}hsc.utah.edu).

Although digital teaching files are important to radiology education, there are no current satisfactory solutions for export of Digital Imaging and Communications in Medicine (DICOM) images from picture archiving and communication systems (PACS) in desktop publishing format. A vendor-neutral digital teaching file, the Radiology Interesting Case Server (RadICS), offers an efficient tool for harvesting interesting cases from PACS without requiring modifications of the PACS configurations. Radiologists push imaging studies from PACS to RadICS via the standard DICOM Send process, and the RadICS server automatically converts the DICOM images into the Joint Photographic Experts Group format, a common desktop publishing format. They can then select key images and create an interesting case series at the PACS workstation. RadICS was tested successfully against multiple unmodified commercial PACS. Using RadICS, radiologists are able to harvest and author interesting cases at the point of clinical interpretation with minimal disruption in clinical work flow.

© RSNA, 2006

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