Estimating the benefits of clinical PACS through process modeling

Stephen F. Mills; Stephanie Yeh; Michael S. Wasniewski; Raymond T. Yeh

doi:10.1117/12.239296

1 May 1996 Estimating the benefits of clinical PACS through process modeling

Stephen F. Mills, Stephanie Yeh, Michael S. Wasniewski, Raymond T. Yeh

Proceedings Volume 2711, Medical Imaging 1996: PACS Design and Evaluation: Engineering and Clinical Issues; (1996) https://doi.org/10.1117/12.239296
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

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.

Citation Download Citation

Stephen F. Mills, Stephanie Yeh, Michael S. Wasniewski, and Raymond T. Yeh "Estimating the benefits of clinical PACS through process modeling", Proc. SPIE 2711, Medical Imaging 1996: PACS Design and Evaluation: Engineering and Clinical Issues, (1 May 1996); https://doi.org/10.1117/12.239296

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KEYWORDS

Process modeling

Picture Archiving and Communication System

Magnetic resonance imaging

Radiology

Systems modeling

Data modeling

Medicine

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