SYSTEMS AND METHODS FOR MEDICAL ALERT MANAGEMENT

    公开(公告)号:US20180310892A1

    公开(公告)日:2018-11-01

    申请号:US15967772

    申请日:2018-05-01

    Abstract: Systems and methods for managing machine-generated medical alerts associated with physiological events detected from one or more patients are described herein. An alert management system may receive medical events detected from a patient and physiological data associated with patient historical medical alerts. The system comprises an alert prioritizer circuit to generate an event priority indicator for the detected medical event, using a comparison between the detected medical event and the physiological data associated with patient historical medical alerts. The system can identify prolific alert patients using the information about the historical medical alerts. The alert prioritizer circuit can adjust a priority of the detected medical event, and an output circuit can present a priority to a user or a process using the event priority indicator and the identification of prolific alert patient.

    Systems and methods for medical alert management

    公开(公告)号:US10765379B2

    公开(公告)日:2020-09-08

    申请号:US15967772

    申请日:2018-05-01

    Abstract: Systems and methods for managing machine-generated medical alerts associated with physiological events detected from one or more patients are described herein. An alert management system may receive medical events detected from a patient and physiological data associated with patient historical medical alerts. The system comprises an alert prioritizer circuit to generate an event priority indicator for the detected medical event, using a comparison between the detected medical event and the physiological data associated with patient historical medical alerts. The system can identify prolific alert patients using the information about the historical medical alerts. The alert prioritizer circuit can adjust a priority of the detected medical event, and an output circuit can present a priority to a user or a process using the event priority indicator and the identification of prolific alert patient.

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