Medical Imaging Informatics, Department of Radiological Sciences, University of California-Los Angeles, Los Angeles, California, USA.
J Am Med Inform Assoc. 2013 Nov-Dec;20(6):1028-36. doi: 10.1136/amiajnl-2012-001457. Epub 2013 Jun 5.
With the increased routine use of advanced imaging in clinical diagnosis and treatment, it has become imperative to provide patients with a means to view and understand their imaging studies. We illustrate the feasibility of a patient portal that automatically structures and integrates radiology reports with corresponding imaging studies according to several information orientations tailored for the layperson.
The imaging patient portal is composed of an image processing module for the creation of a timeline that illustrates the progression of disease, a natural language processing module to extract salient concepts from radiology reports (73% accuracy, F1 score of 0.67), and an interactive user interface navigable by an imaging findings list. The portal was developed as a Java-based web application and is demonstrated for patients with brain cancer.
The system was exhibited at an international radiology conference to solicit feedback from a diverse group of healthcare professionals. There was wide support for educating patients about their imaging studies, and an appreciation for the informatics tools used to simplify images and reports for consumer interpretation. Primary concerns included the possibility of patients misunderstanding their results, as well as worries regarding accidental improper disclosure of medical information.
Radiologic imaging composes a significant amount of the evidence used to make diagnostic and treatment decisions, yet there are few tools for explaining this information to patients. The proposed radiology patient portal provides a framework for organizing radiologic results into several information orientations to support patient education.
随着先进影像学在临床诊断和治疗中的常规应用，为患者提供一种查看和理解其影像学研究的方法变得至关重要。我们展示了一种患者门户的可行性，该门户根据针对非专业人士的几个信息方向，自动将放射学报告与相应的影像学研究进行结构化和整合。
该影像学患者门户由一个图像处理模块组成，用于创建一个时间线，说明疾病的进展；还有一个自然语言处理模块，用于从放射学报告中提取突出的概念（准确率为 73%，F1 得分为 0.67）；以及一个可通过影像学发现列表导航的交互用户界面。该门户是作为一个基于 Java 的 Web 应用程序开发的，并以脑癌患者为例进行了演示。
该系统在一次国际放射学会议上展示，以征求来自不同医疗保健专业人员的反馈。广泛支持教育患者了解其影像学研究，并且赞赏用于简化图像和报告以进行消费者解释的信息学工具。主要关注点包括患者可能误解其结果的可能性，以及担心医疗信息意外不当披露的问题。
放射影像学构成了用于做出诊断和治疗决策的大量证据，但几乎没有工具可以向患者解释这些信息。所提出的放射学患者门户为将放射学结果组织到几个信息方向中提供了一个框架，以支持患者教育。
