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Proceedings Paper

Estimating the benefits of clinical PACS through process modeling
Author(s): Stephen F. Mills; Stephanie Yeh; Michael S. Wasniewski; Raymond T. Yeh
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Paper Abstract

The integration of PACS and teleradiology capabilities into a healthcare enterprise in a clinically acceptable manner is both difficult and expensive. In order to justify the purchase of such systems, an understandings of the associated benefits is needed. By creating and executing process models that simulate the activities, infrastructure and communications within the radiology department both before and after the introduction of PACS and analyzing the resulting metrics, estimates of potential improvements in cost, efficiency and quality of delivered care can be quantified. A project to model and analyze processes within the MRI center at Southwest Texas Methodist Hospital in San Antonio, Texas, is described. The resulting process models, which utilized real-world metrics and process data collected at Methodist Hospital, was used to predict the effects of PACS on parameters such as operational costs, operational efficiency, resource consumption, length of patient stay and personnel requirements. Graphical illustrations of the models are presented, as are reports indicating predicted savings and efficiency increases that would result from the introduction of PACS into the MRI center.

Paper Details

Date Published: 1 May 1996
PDF: 12 pages
Proc. SPIE 2711, Medical Imaging 1996: PACS Design and Evaluation: Engineering and Clinical Issues, (1 May 1996); doi: 10.1117/12.239296
Show Author Affiliations
Stephen F. Mills, E-Systems Medical Electronics, Inc. (United States)
Stephanie Yeh, International Software Systems, Inc. (United States)
Michael S. Wasniewski, Southwest Texas Methodist Hospital (United States)
Raymond T. Yeh, International Software Systems, Inc. (United States)

Published in SPIE Proceedings Vol. 2711:
Medical Imaging 1996: PACS Design and Evaluation: Engineering and Clinical Issues
R. Gilbert Jost; Samuel J. Dwyer, Editor(s)

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