AUTOMATIC CREATION OF A FINDING CENTRIC LONGITUDINAL VIEW OF PATIENT FINDINGS
    1.
    发明申请
    AUTOMATIC CREATION OF A FINDING CENTRIC LONGITUDINAL VIEW OF PATIENT FINDINGS 审中-公开
    发现患者发现中心纵向视图的自动创建

    公开(公告)号:US20160314278A1

    公开(公告)日:2016-10-27

    申请号:US15103913

    申请日:2014-12-11

    Abstract: A system for creating a longitudinal view of patient findings includes a natural language processing engine which extracts clinical findings from a clinical document. A temporal resolution engine determines which other clinical documents the clinical findings belong to. A visualization graphical user interface indicates the correlation of the clinical findings between the clinical document and the other clinical documents. The natural language processing engine also links one or more images to the clinical findings.

    Abstract translation: 用于创建患者发现的纵向视图的系统包括从临床文档中提取临床发现的自然语言处理引擎。 时间分辨率引擎确定临床发现属于哪些其他临床文件。 可视化图形用户界面指示临床文献与其他临床文献之间的临床结果的相关性。 自然语言处理引擎还将一个或多个图像链接到临床发现。

    GROUPING IMAGE ANNOTATIONS
    2.
    发明申请
    GROUPING IMAGE ANNOTATIONS 审中-公开
    分组图像注释

    公开(公告)号:US20160048987A1

    公开(公告)日:2016-02-18

    申请号:US14782689

    申请日:2014-04-17

    Abstract: A system for grouping image annotations is disclosed. A display unit (1) is arranged for displaying a plurality of medical images relating to a subject (5) comprising a representation of an anatomical object. An annotation unit (2) is arranged for receiving information regarding input of a plurality of annotations (3) of the plurality of medical images via a user interface (4), wherein each annotation comprises geometric information relative to an image of the plurality of medical images. A grouping unit (4) is arranged for detecting a group of annotations among the plurality of annotations, based on the geometric information and a set of rules that define general properties of geometric relationships of annotations (3) that belong to the same object. The detecting of the group of annotations is further based on a geometric relationship between the plurality of medical images.

    Abstract translation: 公开了一种用于分组图像注释的系统。 显示单元(1)被布置用于显示与包括解剖对象的表示的被摄体(5)有关的多个医学图像。 注释单元(2)被布置用于经由用户界面(4)接收关于多个医学图像的多个注释(3)的输入的信息,其中每个注释包括相对于多个医学图像的图像的几何信息 图片。 分组单元(4)被布置为基于几何信息和一组规则来检测多个注释中的一组注释,所述一组规则定义属于同一对象的注释(3)的几何关系的一般属性。 注释组的检测还基于多个医学图像之间的几何关系。

    GUIDED STRUCTURED REPORTING
    3.
    发明申请

    公开(公告)号:US20180240537A1

    公开(公告)日:2018-08-23

    申请号:US15553300

    申请日:2016-03-09

    CPC classification number: G16H15/00 G06F3/0482 G06F19/325 G06F19/328 G16H50/20

    Abstract: A guided structured reporting apparatus (10) that enables clinicians to select report elements and generate a structured report (56), offering novel and improved structured reporting solutions that improves report (56) accuracy and precision, and expedites the generation of such a report (56). One or more processors (18) receive physiological information, generate a display, generate and display suggested finding codes (48) for adoption in the structured report (56), and generates and displays a structured report (56) based on the adopted finding codes (40).

    A CONTEXT SENSITIVE MEDICAL DATA ENTRY SYSTEM
    7.
    发明申请
    A CONTEXT SENSITIVE MEDICAL DATA ENTRY SYSTEM 审中-公开
    背景敏感医学数据输入系统

    公开(公告)号:US20160335403A1

    公开(公告)日:2016-11-17

    申请号:US15109906

    申请日:2015-01-19

    Abstract: A system for providing actionable annotations includes a clinical database storing one or more clinical documents including clinical data. A natural language processing engine which processes the clinical documents to detected clinical data. A context extraction and classification engine which generates clinical context information from the clinical data. An annotation recommending engine which generates a list of recommended annotations based on the clinical context information. A clinical interface engine which generates a user interface displaying the list of selectable recommended annotations.

    Abstract translation: 用于提供可操作的注释的系统包括存储一个或多个临床数据的临床数据库,包括临床数据。 一种自然语言处理引擎,用于处理临床文件以检测临床数据。 一种从临床数据生成临床上下文信息的上下文提取和分类引擎。 注释推荐引擎,其基于临床上下文信息生成推荐注释的列表。 临床界面引擎,其生成显示可选推荐注释列表的用户界面。

    CLOSED-LOOP RADIOLOGICAL FOLLOW-UP RECOMMENDATION SYSTEM

    公开(公告)号:US20190131011A1

    公开(公告)日:2019-05-02

    申请号:US16173242

    申请日:2018-10-29

    Abstract: A system (100) includes a processor (182) configured to generate (300) an unauthorized imaging order (122) for a patient from a follow-up recommendation for the patient. The unauthorized imaging order comprises a first anatomy, a first modality and/or a time interval. The processor is further configured to receive (320) an authorized imaging order (110) for the patient which includes a second anatomy and a second modality, and in response to an imaging examination of the patient according to the authorized imaging order and a determined overlap of the authorized imaging order and the unauthorized imaging order, acknowledge (360) that the follow-up recommendation has been satisfied by modifying a status of the unauthorized imaging order.

    HANDLING UNDETERMINED QUANTIFIABLE LESIONS
    9.
    发明申请

    公开(公告)号:US20170231592A1

    公开(公告)日:2017-08-17

    申请号:US15503844

    申请日:2015-08-17

    Abstract: A lesion tracking system (10) includes a data interface (12), a computation engine (18), and a visualization engine (26). The data interface (12) is configured to receive an identification (44) and measurements (56) of at least one target lesion (42), which includes at least one undetermined target lesion (52) according to a plurality of determined categories (54), and each undetermined target lesion (52) is quantified differently according to each of the plurality of determined categories (54). The computation engine (18) is configured to compute a range of quantified measurements according to each determined category for each undetermined target lesion (52), and to compute a quantified total range (70) for the at least one target lesion based on a quantified measurement (62) for each determined target lesion and the computed range for each of the at least one undetermined target lesion. The visualization engine (26) is configured to generate a human readable display of the computed quantified total range (70) for the at least one target lesion.

    ITERATIVE CONSTRUCTION OF CLINICAL HISTORY SECTIONS
    10.
    发明申请
    ITERATIVE CONSTRUCTION OF CLINICAL HISTORY SECTIONS 审中-公开
    临床病史的迭代建设

    公开(公告)号:US20160275245A1

    公开(公告)日:2016-09-22

    申请号:US15035613

    申请日:2014-11-04

    CPC classification number: G06F19/321 G06F16/951 G16H15/00

    Abstract: A system for generating a patient clinical history for a current exam includes a clinical information database containing one or more clinical documents. Each clinical document including a list of patient specific information items. A clinical information crawler engine queries the clinical information database for clinical data, the clinical data including one or more information items. A clinical history construction interface displays the clinical data to the user. A narrative construction engine concatenates information items within the clinical data selected in the clinical history construction interface by the user and creates a free-text rendering, wherein the free-text rendering is inserted into the patient clinical history of a clinical report.

    Abstract translation: 用于产生当前检查的患者临床病史的系统包括含有一个或多个临床文件的临床信息数据库。 每个临床文件包括患者特定信息项目的列表。 临床信息搜索引擎查询临床信息数据库中的临床数据,临床资料包括一个或多个信息项。 临床历史构建界面向用户显示临床数据。 叙述性施工引擎将用户在临床历史建构界面中选择的临床数据中的信息项连接起来,并创建自由文本呈现,其中将自由文本呈现插入到临床报告的患者临床病史中。

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