Informatics in Radiology Problem-centric Organization and Visualization of Patient Imaging and Clinical Data
Informatics in Radiology Problem-centric Organization and Visualization of Patient Imaging and Clinical Data
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DOI：
10.1148/rg.292085098
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发表时间：
2009-03-01
期刊：
影响因子：
5.5
通讯作者：
Taira, Ricky K.
中科院分区：
文献类型：
--
作者：
Bashyam, Vijayaraghavan;Hsu, William;Taira, Ricky K.
患者的电子病历包含大量非结构化的文本信息。随着人口老龄化和慢性病发病率的增加，患者记录变得越来越密集，需要一种工具来帮助组织和导航患者数据，以便于临床医生了解这些信息并提高效率。已经为医生开发了一种从患者记录中汇总临床信息的系统。该系统通过沿四个维度(轴)组织关于每种疾病的信息来提供患者记录的完形视图：时间(例如，疾病随时间的进展)、空间(例如，左额叶肿瘤)、存在(例如，发现存在的确定性)和因果关系(例如，对治疗的反应)。根据放射学报告和出院摘要提供的信息生成显示。自然语言处理用于从这些报告中识别临床异常(问题、症状、发现)以及相关的属性和关系。这些信息以集成格式呈现，将提取的调查结果组织到问题列表中，在时间线网格上描述信息，并提供对相关报告和图像的直接访问。该系统的目标是改善临床信息的结构及其向医生的呈现，从而简化必要的信息检索和知识发现，以弥合获取原始数据和做出知情诊断之间的差距。((C))RSNA，2009年。Radiographics.rsnajnls.org
A patient's electronic medical record contains a large amount of unstructured textual information. As patient records become increasingly dense owing to an aging population and increased occurrence of chronic diseases, a tool is needed to help organize and navigate patient data in a way that facilitates a clinician's ability to understand this information and that improves efficiency. A system has been developed for physicians that summarizes clinical information from a patient record. This system provides a gestalt view of the patient's record by organizing information about each disease along four dimensions (axes): time (eg, disease progression over time), space (eg, tumor in left frontal lobe), existence (eg, certainty of existence of a finding), and causality (eg, response to treatment). A display is generated from information provided by radiology reports and discharge summaries. Natural language processing is used to identify clinical abnormalities (problems, symptoms, findings) from these reports as well as associated properties and relationships. This information is presented in an integrated format that organizes extracted findings into a problem list, depicts the information on a timeline grid, and provides direct access to relevant reports and images. The goal of this system is to improve the structure of clinical information and its presentation to the physician, thereby simplifying the information retrieval and knowledge discovery necessary to bridge the gap between acquiring raw data and making an informed diagnosis. ((C))RSNA, 2009 . radiographics.rsnajnls.org