From Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 9000 Rockville Pike, Building 10, Bethesda, MD 20892.
Radiographics. 2018 Mar-Apr;38(2):462-482. doi: 10.1148/rg.2017170047.
Multimedia-enhanced radiology report (MERR) development is defined and described from an informatics perspective, in which the MERR is seen as a superior information-communicating entity. Recent technical advances, such as the hyperlinking of report text directly to annotated images, improve MERR information content and accessibility compared with text-only reports. The MERR is analyzed by its components, which include hypertext, tables, graphs, embedded images, and their interconnections. The authors highlight the advantages of each component for improving the radiologist's communication of report content information and the user's ability to extract information. Requirements for MERR implementation (eg, integration of picture archiving and communication systems, radiology information systems, and electronic medical record systems) and the authors' initial experiences and challenges in MERR implementation at the National Institutes of Health are reviewed. The transition to MERRs has provided advantages over use of traditional text-only radiology reports because of the capacity to include hyperlinked report text that directs clinicians to image annotations, images, tables, and graphs. A framework is provided for thinking about the MERR from the user's perspective. Additional applications of emerging technologies (eg, artificial intelligence and machine learning) are described in the crafting of what the authors believe is the radiology report of the future. RSNA, 2018.
多媒体增强型放射学报告(MERR)是从信息学角度定义和描述的,在这种报告中,MERR 被视为一种优越的信息交流实体。最近的技术进步,如将报告文本直接链接到注释图像,与仅文本报告相比,提高了 MERR 的信息内容和可访问性。通过其组件分析 MERR,这些组件包括超文本、表格、图形、嵌入式图像及其相互连接。作者强调了每个组件在提高放射科医生报告内容信息交流能力和用户提取信息能力方面的优势。审查了 MERR 实施的要求(例如,将图片存档和通信系统、放射信息系统和电子病历系统集成)以及作者在国立卫生研究院实施 MERR 的初步经验和挑战。与使用传统的仅文本放射学报告相比,MERR 的过渡具有优势,因为能够包括将临床医生引导到图像注释、图像、表格和图形的超链接报告文本。提供了一个从用户角度思考 MERR 的框架。还描述了新兴技术(例如,人工智能和机器学习)的其他应用,这些应用在作者认为是未来的放射学报告的制作中。RSNA,2018 年。