UnitedHealth Group had 14 patents in digitalization during Q2 2024. The UnitedHealth Group Inc filed patents in Q2 2024 for methods and systems related to generating predicted recommendations using collaborative filtering machine learning models, filling prescriptions at lowest payment amounts, analyzing incident reports to identify relevant software support records, comparing models based on demographic bias and performance, and storing encrypted medical service claims on a cryptographic ledger for secure payment processing. GlobalData’s report on UnitedHealth Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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UnitedHealth Group had no grants in digitalization as a theme in Q2 2024.
Recent Patents
Application: Collaborative filter techniques for generating predicted recommendations in sparse domains (Patent ID: US20240212054A1)
The patent filed by UnitedHealth Group Inc. describes methods and systems for generating predicted recommendations using input and reference entity representations along with a collaborative filtering machine learning model. The method involves generating an input entity representation based on entity representation features, training the collaborative filtering model on an initialization dataset, and using the model to predict recommendations. These recommendations are then used to perform prediction-based actions, such as generating a recommendation user interface.
Additionally, the patent includes claims for determining qualifying reference entity representation subsets, selecting candidates based on similarity measures and ratings, and generating model-predicted entity-candidate matrices. The computing apparatus and computer program product described in the patent are configured to carry out these methods, including generating input entity representations, training collaborative filtering models, and initiating prediction-based actions based on the predicted recommendations. The patent emphasizes the use of machine learning models and historical data to improve the accuracy and relevance of the predicted recommendations, ultimately enhancing the user experience in generating recommendation interfaces.
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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.
