The expectation of rapid image retrieval from PACS users contributes to increased information technology (IT) infrastructure investments to increase performance as well as continuing demands upon PACS administrators to respond to “slow” system performance. The ability to provide predicted delivery times to a PACS user may curb user expectations for “fastest” response especially during peak hours. This, in turn, could result in a PACS infrastructure tailored to more realistic performance demands. A PACS with a stand-alone architecture under peak load typically holds study requests in a queue until the DICOM C-Move command can take place. We investigate the contents of a stand-alone architecture PACS RetrieveSend queue and identified parameters and behaviors that enable a more accurate prediction of delivery time. A prediction algorithm for studies delayed in a stand-alone PACS queue can be extendible to other potential bottlenecks such as long-term storage archives. Implications of a queue monitor in other PACS architectures are also discussed.
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References
PG Nagy M Daly M Warnock et al. (2003) ArticleTitlePACSPulse: A web-based DICOM network traffic monitor and analysis tool Radiographics 23 IssueID3 795 Occurrence Handle12740478
J Nielsen (1994) Usability Engineering Morgan Kaufmann San Francisco
DF Galletta R Henry S McCoy et al. (2004) ArticleTitleWeb site delays: How tolerant are users? J Assoc Inf Syst 5 IssueID1 1
MYY Law Z Zhou (2003) ArticleTitleNew direction in PACS education and training Comput Med Imaging Graph 27 147 Occurrence Handle12620305 Occurrence Handle10.1016/S0895-6111(02)00088-5
Z Zhou HK Huang BJ Liu et al. (2004) ArticleTitleA RIS/PACS simulator with web-based image distribution and display system for education SPIE Med Imaging 5 372
Huang HK: PACS and Imaging Informatics: Basic Principles and Applications, 2nd edition. Wiley-Liss, 2004
Bui AAT, Weinger GS, Barretta SJ, et al: DataServer: An XML gateway for medical research applications. In: Techniques in Bioinformatics and Medical Informatics, vol. 980. 2002, p 236
BJ Liu MZ Zhou J Documet (2005) ArticleTitleUtilizing data grid architecture for the backup and recovery of clinical image data J Comput Med Imaging Graphics 29 IssueID2–3 95
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The corresponding author thanks his colleagues at the Image Processing and Informatics Laboratory for stimulating his interest in medical imaging informatics. An earlier version of this article was presented to the 2005 SPIE Medical Imaging Conference. This work was partially supported by NIH Grant No. R01-LM06270 from the National Library of Medicine.
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King, N.E., Documet, J. & Liu, B. Predicting Clinical Image Delivery Time by Monitoring PACS Queue Behavior. J Digit Imaging 19 (Suppl 1), 35–43 (2006). https://doi.org/10.1007/s10278-006-0262-z
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DOI: https://doi.org/10.1007/s10278-006-0262-z