DexCom has been granted a patent for systems and methods that provide guidance to users managing diabetes. The patent describes a system that uses a glucose concentration sensor to detect glucose levels and a processor to determine the user’s behavior patterns, engagement state, risk tolerance, and availability. Based on this information, the system predicts when the user will be unavailable to receive guidance and provides proactive guidance messages related to managing glucose levels. 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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According to GlobalData’s company profile on DexCom, Medical data analysis was a key innovation area identified from patents. DexCom's grant share as of September 2023 was 45%. Grant share is based on the ratio of number of grants to total number of patents.
Guidance system for managing diabetes based on glucose levels
A recently granted patent (Publication Number: US11766194B2) describes a system for managing glucose concentration levels in individuals. The system includes a glucose concentration sensor, a communication circuit, and a processor. The glucose concentration sensor detects the glucose concentration level of the individual, which is then received by the communication circuit. The processor receives real-time data indicating the glucose concentration level and determines various factors related to the individual's behavior, engagement with decision support guidance, risk tolerance, and availability to receive guidance messages.
Based on the learned pattern of behavior and the consistency and response time of the individual, the processor predicts a time period during which the individual will be unavailable to receive guidance messages. Additionally, using the real-time data, the processor predicts that the glucose concentration level will not be within a specified range during this time period and determines the associated risk level. The content of the guidance message is determined based on the real-time data, temporal pattern, and engagement state, and is related to an action to be performed before the time period.
The guidance message is provided to the individual prior to the predicted time period, taking into account the individual's risk tolerance, the risk level associated with the glucose concentration level, and the unavailability of the individual. The system may also include a memory circuit to store a physiologic model, which is used by the processor to determine the physiologic state of the individual and further predict the glucose concentration level. The content of the guidance message may also be based on the physiologic state.
The system can be implemented using a mobile device with a user interface to display the guidance message and receive user input. The processor can predict the glucose concentration level based on the user input. The system may also include an insulin delivery system and can consider upcoming events in a calendar to predict the time period and glucose concentration level. The processor can adjust the predicted glucose concentration level based on real-time data and can also predict time periods during which a caregiver will be unavailable and provide the guidance message to the caregiver or the individual.
In summary, the granted patent describes a system that uses real-time data, behavioral patterns, and engagement state to predict and manage glucose concentration levels in individuals. The system provides personalized guidance messages based on risk tolerance and availability, aiming to promote glucose concentration stability and improve overall management of the condition.
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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.
