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18 May 2000 Architecture of next-generation information management systems for digital radiology enterprises
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Abstract
Few information systems today offer a clear and flexible means to define and manage the automated part of radiology processes. None of them provide a coherent and scalable architecture that can easily cope with heterogeneity and inevitable local adaptation of applications. Most importantly, they often lack a model that can integrate clinical and administrative information to aid better decisions in managing resources, optimizing operations, and improving productivity. Digital radiology enterprises require cost-effective solutions to deliver information to the right person in the right place and at the right time. We propose a new architecture of image information management systems for digital radiology enterprises. Such a system is based on the emerging technologies in workflow management, distributed object computing, and Java and Web techniques, as well as Philips' domain knowledge in radiology operations. Our design adapts the approach of '4+1' architectural view. In this new architecture, PACS and RIS will become one while the user interaction can be automated by customized workflow process. Clinical service applications are implemented as active components. They can be reasonably substituted by applications of local adaptations and can be multiplied for fault tolerance and load balancing. Furthermore, it will provide powerful query and statistical functions for managing resources and improving productivity in real time. This work will lead to a new direction of image information management in the next millennium. We will illustrate the innovative design with implemented examples of a working prototype.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen T. C. Wong, Huili Wang, Weimin Shen, Joachim Schmidt, George Chen, and Tom Dolan "Architecture of next-generation information management systems for digital radiology enterprises", Proc. SPIE 3980, Medical Imaging 2000: PACS Design and Evaluation: Engineering and Clinical Issues, (18 May 2000); https://doi.org/10.1117/12.386415
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