在心脏病成像实验室中集成多个数据源

T. Godinho, Eduardo Almeida, Luís Bastião, C. Costa
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引用次数: 2

摘要

目前,医学成像实验室由异构系统支持,包括图像存储库、采集设备、查看器工作站和其他管理信息系统。它们不仅拥有来自成像模式的大量数据,还拥有来自患者诊断、治疗和服务管理的大量数据。不幸的是,不同的医疗信息系统之间的互操作性仍然是一个主要的限制。尽管存在支持不同RIS和PACS应用程序的标准,如DICOM和HL7,但在大多数情况下,它们之间的互操作性仅限于几组信息元素。因此,协作工作流程的建立或患者数据的集成可视化仍然受到损害。此外,这种情况严重限制了这些数据用于研究和业务分析目的的使用,通常称为数据的二次使用。在本文中,我们提出了一种将专有信息系统保存的超声心动图报告转换为DICOM结构化报告(SR)的方法,这是医学成像中互操作性的黄金标准。因此,所有PACS应用程序都可以以集成和结构化的方式访问和共享报告、图像和相关元数据。此外,这些元素的大规模联合对数据分析和数据的二次使用具有巨大的兴趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating multiple data sources in a cardiology imaging laboratory
Nowadays, medical imaging laboratories are supported by heterogeneous systems, including image repositories, acquisition devices, viewer workstations and other administrative information systems. They hold tremendous amounts of data resulting not only from imaging modalities, but also from patient diagnosis, treatment, and services management. Unfortunately, the interoperability between the different medical information systems is still a major limitation. Despite the existence of standards to support the distinct RIS and PACS applications, such as DICOM and HL7, the interoperability between them is, in most cases, limited to a few sets of information elements. As a result, the establishment of cooperative workflows or the integrated visualization of patient data is still compromised. Moreover, this scenario severely constraints the usage of these data for research and business analytics purposes, commonly referred as secondary uses of data. In this document, we propose a method for transforming echocardiography reports held by proprietary information systems into DICOM Structured Reports (SR), the gold standard for interoperability in medical imaging. As a result, reports, images, and associated metadata can be accessed and shared by all PACS applications in an integrated and structured manner. Furthermore, the large-scale federation of those elements has a tremendous interest for data analytics and secondary uses of data.
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