Estimating Digital Information Throughput Rates for Radiology Networks: A Model

Cox GG, Templeton AW, Anderson WH, Cook LT, Hensley KS, Dwyer SJ III. Estimating digital information throughput rates for radiology networks. Invest Radiol 1986;21:162–166.The design and implementation of a digital radiology image management system requires the definition, evaluation, and comparison...

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Veröffentlicht in:Investigative radiology 1986-02, Vol.21 (2), p.162-166
Hauptverfasser: COX, GLENDON G, TEMPLETON, ARCH W, ANDERSON, WILLIAM H, COOK, LARRY T, HENSLEY, KENNETH S, DWYER, SAMUEL J
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container_end_page 166
container_issue 2
container_start_page 162
container_title Investigative radiology
container_volume 21
creator COX, GLENDON G
TEMPLETON, ARCH W
ANDERSON, WILLIAM H
COOK, LARRY T
HENSLEY, KENNETH S
DWYER, SAMUEL J
description Cox GG, Templeton AW, Anderson WH, Cook LT, Hensley KS, Dwyer SJ III. Estimating digital information throughput rates for radiology networks. Invest Radiol 1986;21:162–166.The design and implementation of a digital radiology image management system requires the definition, evaluation, and comparison of appropriate measures of system performance. The mean throughput rate is an important measure of the actual performance of a finished system. The mean throughput rate identifies the transmission of digital information either in bits/second or tasks/second. It is dependent on software, database management, equipment interface designs, number of users and display stations, and communications media. The mean throughput rate can document resource allocation bottlenecks within a given system. A model for estimating the mean throughput rate and its application in helping us design our radiology digital image networks is described.
doi_str_mv 10.1097/00004424-198602000-00014
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subjects Electronic Data Processing
Evaluation Studies as Topic
Management Information Systems
Models, Theoretical
Systems Analysis
Technology, Radiologic - instrumentation
title Estimating Digital Information Throughput Rates for Radiology Networks: A Model
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