公开(公告)号：USD837237S1

公开(公告)日：2019-01-01

申请号：US29582541

申请日：2016-10-28

Applicant: General Electric Company

Designer： Keith Edmond Fraser ,  Brian J. Kolowitz

公开(公告)号：US20160147954A1

公开(公告)日：2016-05-26

申请号：US14554665

申请日：2014-11-26

Applicant: General Electric Company

Inventor： Luis Babaji Ng Tari ,  Brian J. Kolowitz ,  Benjamin John Wilson ,  Anna Louise Von Reden ,  Edwin Carl Nelson Wiancko ,  Rasu Shrestha ,  Christopher Deible

IPC: G06F19/00

CPC classification number: G16H40/20

Abstract: Disclosed and described systems, methods, and apparatus provide facilitate detection, processing, and relevancy analysis of clinical data. An example data event processing system includes a data event processor configured to receive a data event and to trigger, based on receipt of the data event, processing of the data event with respect to a clinical scenario. The example system includes a data relevancy processor configured to process the data event by applying natural language processing and machine learning to the data event based on the clinical scenario and to determine relevancy of the data event with respect to the clinical scenario based on a combination of domain knowledge and user knowledge. The example system includes an interface configured to output the data event and an indication of the relevancy of the data event with respect to the clinical scenario.

Abstract translation: 公开和描述的系统，方法和装置提供了临床数据的检测，处理和相关性分析。 示例性数据事件处理系统包括数据事件处理器，其被配置为接收数据事件并且基于数据事件的接收来触发关于临床情况的数据事件的处理。 示例系统包括数据相关处理器，其被配置为通过基于临床情景将自然语言处理和机器学习应用于数据事件来处理数据事件，并且基于临床情景来确定数据事件相对于临床情景的相关性， 领域知识和用户知识。 示例系统包括被配置为输出数据事件的接口和关于临床情景的数据事件的相关性的指示。

公开(公告)号：USD836654S1

公开(公告)日：2018-12-25

申请号：US29582539

申请日：2016-10-28

Applicant: General Electric Company

Designer： Keith Edmond Fraser ,  Brian J. Kolowitz

公开(公告)号：US20160147971A1

公开(公告)日：2016-05-26

申请号：US14554578

申请日：2014-11-26

Applicant: General Electric Company

Inventor： Brian J. Kolowitz ,  Rasu Shrestha

IPC: G06F19/00 ,  H04L29/06 ,  G06F3/0484

CPC classification number: G06F3/0482 ,  G06F3/0481 ,  G16H80/00

Abstract: Disclosed and described systems, methods, and apparatus provide facilitate contextual collaboration and processing of conversation elements to infer an associated clinical context. An example method of contextual collaboration includes receiving, using a processor configured to be a contextual conversation processor, an unstructured conversation element from an electronic conversation occurring between at least two participants via a graphic user interface. The example method includes processing, using the processor, the unstructured conversation element to convert the unstructured conversation element to a structured conversation element and to determine a topic associated with the unstructured conversation element. The example method includes inferring, using the processor, a clinical context associated with the electronic conversation based on analyzing the structured conversation element. The example method includes sharing, using the processor, the inferred clinical context with one or more health information systems to synchronize the one or more health information systems based on the inferred clinical context.

Abstract translation: 公开和描述的系统，方法和装置提供对会话元素的上下文协作和处理，以推断相关联的临床上下文。 上下文协作的示例性方法包括：经由图形用户界面从至少两个参与者之间的电子对话中接收使用被配置为语境对话处理器的处理器的非结构化会话元素。 示例性方法包括使用处理器处理非结构化对话元件以将非结构化对话元素转换为结构化对话元素并且确定与非结构化对话元素相关联的主题。 该示例方法包括基于分析结构化会话元素来推断使用处理器与电子对话相关联的临床上下文。 示例性方法包括使用处理器将推断的临床上下文与一个或多个健康信息系统共享，以基于推断的临床上下文同步一个或多个健康信息系统。