DexCom had five patents in big data during Q1 2024.DexCom Inc filed patents in Q1 2024 for optimized delivery of communications to users of a software application, processing sensor data for end of life detection, and tracking sensor insertion locations in a continuous analyte monitoring system. These patents involve methods and systems for identifying user cohorts, evaluating risk factors for sensor end of life, and utilizing data from sensor sessions for various purposes such as suggesting insertion locations and improving sensor accuracy. GlobalData’s report on DexCom gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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DexCom had no grants in big data as a theme in Q1 2024.
Recent Patents
Application: Machine learning techniques for optimized communication with users of a software application (Patent ID: US20240048516A1)
The patent filed by DexCom Inc. describes a method and system for optimized delivery of communications to users of a software application. The method involves obtaining cohort selection criteria, identifying user cohorts, determining communication configurations for sub-groups within the cohort, transmitting communications based on content and configurations, and measuring engagement outcomes. The system includes a customer engagement platform (CEP) and a data analytics platform (DAP) to facilitate these processes.
The method further includes generating criterion satisfaction indicators for users, updating reward functions based on engagement outcomes, and utilizing machine learning models to allocate users to communication configurations. The system also involves identifying sub-groups within the user cohort based on exploration and exploitation subsets, as well as defining communication settings such as frequency and format. Overall, the patent outlines a comprehensive approach to delivering tailored communications to users based on data analytics and engagement metrics, enhancing user engagement and interaction with the software application.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
