Predicting clinical image delivery time by monitoring PACS queue behavior...picture archiving and communication system
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 t...
| Published in: | Journal of Digital Imaging Vol. 19; pp. 35 - 44 |
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| Main Authors: | , , |
| Format: | research tables/charts Journal Article |
| Published: |
Springer Nature
Sep2006 Supplement 1
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105264952&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105264952 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Sep2006 Supplement 1 vid: 19 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105264952 2010505252 10.1007/s10278-006-0262-z NLM16598644 105264952 ppf: 35 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Predicting clinical image delivery time by monitoring PACS queue behavior...picture archiving and communication system aug: au: King NE Documet J Liu B affil: Olayan School of Business, American University of Beirut, Bliss Street, P.O. Box 11-0236, Riad El-Solh/Beirut, 1107 2020, Lebanon; linking@acm.org sug: subj: Algorithms Image Retrieval Picture Archiving and Communication Systems Administration Descriptive Statistics Evaluation Research Funding Source Organizational Efficiency Radiology Service Administration Time Factors ab: 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 standalone 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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