SYSTEM FOR PROVIDING ELECTROCARDIOGRAM (ECG) ANALYTICS FOR ELECTRONIC MEDICAL RECORDS (EMR)
    2.
    发明申请
    SYSTEM FOR PROVIDING ELECTROCARDIOGRAM (ECG) ANALYTICS FOR ELECTRONIC MEDICAL RECORDS (EMR) 审中-公开
    用于电子医疗记录(EMR)的电子学(ECG)分析系统

    公开(公告)号:US20160188823A1

    公开(公告)日:2016-06-30

    申请号:US14587607

    申请日:2014-12-31

    CPC classification number: G16H50/20 A61B5/04012 A61B5/044 G16H10/60 G16H15/00

    Abstract: The system of the present application includes computerized diagnostic ECG that is tailored for the EMR. The system and method of the present application provides several new approaches to the computerized ECG based on information available from the EMR through an EMR portal. Some of these information items include: Test indication and reason for performing the ECG, previous ECGs as a measure of the patient's “normal” baseline; electrolytes, and drugs known to cause cardiac toxicity/prolonged QT. Based on these inputs, the computerized ECG analysis will behave differently, including the formation of reports, the ancillary information supplied with the ECG and the interpretation itself.

    Abstract translation: 本申请的系统包括为EMR量身定制的计算机诊断ECG。 本申请的系统和方法基于通过EMR门户从EMR获得的信息向计算机化ECG提供了几种新方法。 这些信息中的一些包括:测试指示和执行心电图的原因,以前的ECG作为患者“正常”基线的量度; 电解质和已知会导致心脏毒性/延长QT的药物。 基于这些输入,计算机心电图分析的行为将不同,包括报告的形成,ECG提供的辅助信息和解释本身。

    System and method for processing ECG recordings from multiple patients

    公开(公告)号:US10687726B2

    公开(公告)日:2020-06-23

    申请号:US15806009

    申请日:2017-11-07

    Abstract: A system for processing ECG recordings from multiple patients includes a preprocessing database containing unprocessed ECG records from multiple patients, a reporting database containing processed ECG records from multiple patients, a processor, and a triage module executable on the processor to assess each of the unprocessed ECG recordings from the multiple patients. The triage module is executable to detect a presence or absence of one or more known abnormalities and determines at least one abnormality identifier based on the detected known abnormality. One or more abnormality groups are then identified based on the abnormality identifiers. A normal group of ECG recordings from multiple patients is then identified from those ECG recordings that are not in the abnormality group. The normal group of ECG recordings is then stored in the reporting database then associated a normal identifier.

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