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Proceedings Paper

Queue monitor toolkit for tracking of PACS clinical workflow
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Paper Abstract

Expectation of rapid image retrieval and distribution from PACS contributes to increased information technology (IT) infrastructure investments and continuing demands upon PACS administrators to respond to "slow" system calls. Studies show that it is important for computer users to be able to check on the progress of their task via progress indicators (e.g., time left to download file) to know that the computer is still working. By analogy, the ability to provide predicted delivery times to a PACS user may curb user expectations for "fast" response especially during peak hours. Allowing for some periods of slow response means PACS infrastructure do not have to be overbuilt and also reduce time spent by PACS administrators fielding user inquiries on image status. For this condition, a queryable PACS queue monitor is the cornerstone for providing a progress indicator to the user. The typical PACS server holds image file information and destination workstation information in a queue until the RetrieveSend process can send the image. We developed an agent that queries the contents of the PACS RetrieveSend queue in real-time and coded an algorithm to predict delivery time. Delivery time can be predicted from the number and types of images in progress and the download time of prior images that accounts for network load and performance at that time of day. We have developed a PACS queue monitor prototype that is being tested on clinical data using the PACS Simulator at the Imaging Processing and Informatics (IPI) Laboratory of the University of Southern California (USC).

Paper Details

Date Published: 15 April 2005
PDF: 12 pages
Proc. SPIE 5748, Medical Imaging 2005: PACS and Imaging Informatics, (15 April 2005); doi: 10.1117/12.595671
Show Author Affiliations
Nelson E. King, IPIL, Univ. of Southern California (United States)
Jorge Documet, IPIL, Univ. of Southern California (United States)
Zheng Zhou, IPIL, Univ. of Southern California (United States)
Brent Liu, IPIL, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 5748:
Medical Imaging 2005: PACS and Imaging Informatics
Osman M. Ratib; Steven C. Horii, Editor(s)

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