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Predicting Clinical Image Delivery Time by Monitoring PACS Queue Behavior

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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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Acknowledgments

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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Correspondence to Nelson E. King.

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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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