MACHINE LEARNING TECHNIQUES FOR OPTIMIZED COMMUNICATION WITH USERS OF A SOFTWARE APPLICATION

    公开(公告)号:US20230077948A1

    公开(公告)日:2023-03-16

    申请号:US17931531

    申请日:2022-09-12

    Applicant: Dexcom, Inc.

    Abstract: Certain aspects of the present disclosure relate to methods and systems for optimized delivery of communications including content to users of a software application. The method also includes obtaining, by a customer engagement platform (CEP), a set of cohort selection criteria for identifying a user cohort to deliver the content; identifying, by a data analytics platform (DAP), the user cohort to communicate with in accordance with the set of cohort selection criteria; identifying, by the DAP, one or more communication configurations for communicating with one or more sub-groups within the user cohort; and to each user of the user cohort, transmitting one or more communications based on the content and a corresponding communication configuration for a sub-group that may include the corresponding user; and measuring engagement outcomes associated with usage of the corresponding one or more communication configurations in communication with each of the sub-groups.

    URGENCY-BASED PATIENT SCHEDULING
    3.
    发明申请

    公开(公告)号:US20230051289A1

    公开(公告)日:2023-02-16

    申请号:US17818334

    申请日:2022-08-08

    Applicant: Dexcom, Inc.

    Abstract: Certain aspects of the present disclosure relate to methods of updating patient scheduling information. In one aspect, the method includes receiving patient data for a patient having a scheduled appointment on a future date, the patient data including a metric value for a biomarker and time and date information associated with the scheduled appointment. The method further includes comparing the metric value with one or more conditions established based at least in part on a patient history of the patient or population health data. The method also includes, after determining that the metric value satisfies at least one of the one or more conditions, rescheduling the scheduled appointment.

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