Paper
1 August 1990 Optimization of a PACS display workstation for diagnostic reading
K. G. O'Malley, Stephen P. Ricca
Author Affiliations +
Abstract
The design of workstations for use in picture archival and communications systems (PACS) has received a significant amount of attention; rightfully so, as it is the most noticeable element in such a system. Various aspects of medical imaging workstations have been studied in detail, including feature requirements, user interface, performance requirements, and other human factors considerations. Experience during implementation of the CommView system PACS has shown that it is most important to carefully consider the operational environment in which these workstations will be placed to match the tasks and flow of information to, from, and within the workstation with the tasks and flow of information in the traditional film-based environment. Equally important is the cost of such a workstation. and the well - designed workstation is one that successfully matches the operational environment at a reasonable price. We describe in this paper the process undertaken to optimize a PACS workstation for the operational environment of diagnostic reading and reporting. Operational models have been developed, through interviews with and observations of users at Bowman Gray/Baptist Hospital Medical Center. Duke University Medical Center. San Francisco VA Medical Center, and Georgetown University Hospital. Hardware and software designs of the workstation were optimized to match the workstation to those operational models, including matching the time intervals, and providing easy access to relevant exams and to historical exams to be used for comparison.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
K. G. O'Malley and Stephen P. Ricca "Optimization of a PACS display workstation for diagnostic reading", Proc. SPIE 1234, Medical Imaging IV: PACS Systems Design and Evaluation, (1 August 1990); https://doi.org/10.1117/12.19055
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Cited by 1 scholarly publication.
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KEYWORDS
Picture Archiving and Communication System

Diagnostics

Image processing

Medical imaging

Human-machine interfaces

Surgery

Imaging systems

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