Insulet had five patents in big data during Q4 2023. Insulet Corp’s patents filed in Q4 2023 focus on utilizing a processor to access blood glucose and insulin data to identify high and low events, applying rules to these events, and identifying patterns. The patents also discuss employing a personalized glucose prediction model based on past glucose levels to improve glucose level control for users. The model is updated continuously to provide accurate predictions. GlobalData’s report on Insulet gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Insulet grant share with big data as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Techniques to determine patterns in blood glucose measurement data and a user interface for presentation thereof (Patent ID: US20230377699A1)
The patent filed by Insulet Corp. describes techniques, devices, and computer products that involve a processor accessing blood glucose measurement values and insulin data from a data warehouse memory. The processor identifies high and low events based on target blood glucose set points, applies rules to these events, and identifies patterns. Each pattern is assigned a weight, and a graphical user interface is populated with these patterns. The patent also details the programming instructions for the processor to execute these functions, including obtaining user settings, applying event overlap rules, and generating patterns based on specific criteria for high and low events.
Furthermore, the patent outlines a system that includes a memory storing user data from continuous blood glucose monitors and personal diabetes management devices, a data analysis processor executing programming code, and circuitry for data extraction, transformation, and loading. The processor identifies high and low events, applies overlap rules, and generates patterns based on specific criteria. It also populates a graphical user interface with these patterns. The system also includes functions for obtaining user settings, applying event overlap rules, and normalizing data from the user's devices for pattern identification. Overall, the patent focuses on utilizing a processor to analyze blood glucose and insulin data to identify patterns and provide insights for diabetes management.
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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.
