Cigna Group has been granted a patent for a method that utilizes machine learning to transform user interfaces. This method involves storing user parameters and event data, identifying common identifiers, and calculating intake metrics to enhance user experience based on expected resource allocation. GlobalData’s report on Cigna Group 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 Cigna Group, Social media analytics was a key innovation area identified from patents. Cigna Group's grant share as of June 2024 was 62%. Grant share is based on the ratio of number of grants to total number of patents.
Machine-learned user interface transformation based on intake metrics
The patent US12039347B2 outlines a method and system for transforming a user interface through machine learning techniques. The process begins with the storage of user-related parameters and the indexing of various events linked to physical objects supplied to users, identified by unique identifiers. A data processing circuit identifies a subset of these identifiers based on shared descriptive data and trains a machine learning model using event data from a specified time period. The method involves receiving a selected identifier and calculating two metrics: the first intake metric, which estimates the resources expected from the selected identifier in a future period, and the second intake metric, which incorporates both the selected identifier and user parameters. The user interface is then transformed based on these metrics.
Additionally, the patent describes functionalities for rendering the user interface on a data analyst device, where metrics can be displayed and compared. The system is designed to execute parallel processing for efficient analysis of event data, enhancing the training of the machine learning model. The metrics are further refined by considering retention values that indicate the likelihood of continued association between the selected identifier and the entity, as well as population retention values for groups of identifiers. This comprehensive approach aims to optimize user interface transformation by leveraging predictive analytics based on historical event data and user parameters.
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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.
