MULTI-STATE ENGAGEMENT WITH CONTINUOUS GLUCOSE MONITORING SYSTEMS

    公开(公告)号:US20210183508A1

    公开(公告)日:2021-06-17

    申请号:US17114211

    申请日:2020-12-07

    Applicant: DexCom, Inc.

    Abstract: Multi-state engagement with continuous glucose monitoring (CGM) systems is described. Given the number of people that wear CGM systems and because CGM systems produce measurements continuously, a platform that provides a CGM system may have an enormous amount of data. This amount of data is practically, if not actually, impossible for humans to process. In implementations, a CGM platform includes a data analytics platform that obtains packages of glucose measurements provided by a CGM system and also obtains additional data associated with a user. The data analytics platform generates state information for the user by processing these CGM packages and the additional data, at least in part, by using one or more models. Based on this state information, the data analytics platform controls communication with the user, which may include generating intervention strategies to prevent users from transitioning to a negative state such as discontinuing use of the CGM system.

    MULTI-STATE ENGAGEMENT WITH CONTINUOUS GLUCOSE MONITORING SYSTEMS

    公开(公告)号:US20210177316A1

    公开(公告)日:2021-06-17

    申请号:US17114182

    申请日:2020-12-07

    Applicant: DexCom, Inc.

    Abstract: Multi-state engagement with continuous glucose monitoring (CGM) systems is described. Given the number of people that wear CGM systems and because CGM systems produce measurements continuously, a platform that provides a CGM system may have an enormous amount of data. This amount of data is practically, if not actually, impossible for humans to process. In implementations, a CGM platform includes a data analytics platform that obtains packages of glucose measurements provided by a CGM system and also obtains additional data associated with a user. The data analytics platform generates state information for the user by processing these CGM packages and the additional data, at least in part, by using one or more models. Based on this state information, the data analytics platform controls communication with the user, which may include generating intervention strategies to prevent users from transitioning to a negative state such as discontinuing use of the CGM system.

    RECOMMENDATIONS BASED ON CONTINUOUS GLUCOSE MONITORING

    公开(公告)号:US20210153787A1

    公开(公告)日:2021-05-27

    申请号:US17100589

    申请日:2020-11-20

    Applicant: DexCom, Inc.

    Abstract: Recommendations based on continuous glucose monitoring (CGM) are described. Given the number of people that wear CGM systems and because CGM systems produce measurements continuously, a platform that provides a CGM system may have an enormous amount of data. This amount of data is practically, if not actually, impossible for humans to process. In implementations, a CGM platform includes a data analytics platform that obtains glucose measurements provided by a CGM system and also obtains additional data associated with a user. The data analytics platform processes these measurements and the additional data to predict a health indicator by using models. This prediction serves as a basis for generating a recommendation, such as a message recommending the user take action or adopt a behavior to mitigate a predicted negative health condition.

    Calculation engine based on histograms

    公开(公告)号:US11017900B2

    公开(公告)日:2021-05-25

    申请号:US16438027

    申请日:2019-06-11

    Applicant: DexCom, Inc.

    Abstract: Methods and apparatus, including computer program products, are provided for processing analyte data. In some exemplary implementations, there is provided a method that includes generating, by at least one processor, a data structure comprising a plurality of bins assigned to a plurality of predetermined glucose concentration levels; generating, by the at least one processor, a value representative of a measured glucose concentration level obtained from received sensor data; adding, by the at least one processor, the value to at least one of the plurality of bins, wherein the adding of the value increments an occurrence value for the at least one of the plurality of bins; and analyzing, by the at least one processor, the data structure including the at least one of the plurality of bins and the occurrence value to determine at least one descriptive measurement. Related systems, methods, and articles of manufacture are also disclosed.

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