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DICOM Index Tracker Enterprise: Advanced System for Enterprise-wide Quality Assurance and Patient Safety Monitoring

机译:DICOM Index Tracker Enterprise:用于企业范围质量保证和患者安全监控的先进系统

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DICOM Index Tracker (DIT) is an integrated platform to harvest rich information available from Digital Imaging and Communications in Medicine (DICOM) to improve quality assurance in radiology practices. It is designed to capture and maintain longitudinal patient-specific exam indices of interests for all diagnostic and procedural uses of imaging modalities. Thus, it effectively serves as a quality assurance and patient safety monitoring tool. The foundation of DIT is an intelligent database system which stores the information accepted and parsed via a DICOM receiver and parser. The database system enables the basic dosimetry analysis. The success of DIT implementation at Mayo Clinic Arizona calls for the DIT deployment at the enterprise level which requires significant improvements. First, for geographically distributed multi-site implementation, the first bottleneck is the communication (network) delay; the second is the scalability of the DICOM parser to handle the large volume of exams from different sites. To address this issue, DICOM receiver and parser are separated and decentralized by site. To facilitate the enterprise wide Quality Assurance (QA), a notable challenge is the great diversities of manufacturers, modalities and software versions, as the solution DIT Enterprise provides the standardization tool for device naming, protocol naming, physician naming across sites. Thirdly, advanced analytic engines are implemented online which support the proactive QA in DIT Enterprise.
机译:DICOM索引跟踪器(DIT)是一个集成平台,可收集可从医学数字成像和通信(DICOM)获得的丰富信息,以改善放射实践的质量保证。它旨在为成像模式的所有诊断和程序用途捕获和维护针对患者的纵向特定检查的兴趣指标。因此,它有效地充当了质量保证和患者安全监控工具。 DIT的基础是一个智能的数据库系统,该系统存储通过DICOM接收器和解析器接受和解析的信息。数据库系统可以进行基本的剂量分析。在亚利桑那州的梅奥诊所(Mayo Clinic Arizona)成功实施DIT要求在企业级部署DIT,这需要进行重大改进。首先,对于地理上分散的多站点实施,第一个瓶颈是通信(网络)延迟;第二个瓶颈是通信(网络)延迟。第二个是DICOM解析器的可伸缩性,可以处理来自不同站点的大量考试。为了解决此问题,DICOM接收器和解析器通过站点进行分离和分散。为了促进整个企业的质量保证(QA),一个显着的挑战是制造商,模式和软件版本的多样性,因为DIT Enterprise解决方案提供了跨站点的设备命名,协议命名,医师命名的标准化工具。第三,在线实施高级分析引擎,以支持DIT Enterprise中的主动质量检查。

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