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Tools for Managing Image Flow in the Modality to Clinical-Image-Review Chain

机译:用于以临床图像审查链形式管理图像流的工具

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摘要

Web-based clinical-image viewing is commonplace in large medical centers. As demands for product and performance escalate, physicians, sold on the concept of “any image, anytime, anywhere,” fret when image studies cannot be viewed in a time frame to which they are accustomed. Image delivery pathways in large medical centers are oftentimes complicated by multiple networks, multiple picture archiving and communication systems (PACS), and multiple groups responsible for image acquisition and delivery to multiple destinations. When studies are delayed, it may be difficult to rapidly pinpoint bottlenecks. Described here are the tools used to monitor likely failure points in our modality to clinical-image-viewing chain and tools for reporting volume and throughput trends. Though perhaps unique to our environment, we believe that tools of this type are essential for understanding and monitoring image-study flow, re-configuring resources to achieve better throughput, and planning for anticipated growth. Without such tools, quality clinical-image delivery may not be what it should.
机译:基于Web的临床图像查看在大型医疗中心中很常见。随着对产品和性能的要求不断提高,当医生无法按照自己习惯的时间查看图像研究时,就以“随时随地任何图像”的概念销售。大型医疗中心的图像传送路径通常会因多个网络,多个图片存档和通信系统(PACS)以及负责图像采集和传送到多个目的地的多个组而变得复杂。如果研究推迟了,可能很难迅速查清瓶颈。这里描述的是用于监视我们的临床图像查看链中可能出现的故障点的工具,以及用于报告数量和吞吐量趋势的工具。尽管可能对我们的环境而言是唯一的,但我们认为,此类工具对于理解和监视图像研究流程,重新配置资源以实现更好的吞吐量以及计划预期的增长至关重要。没有这样的工具,高质量的临床图像传送可能就不应该了。

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