UnitedHealth Group had one patents in metaverse during Q2 2024. The patent filed by UnitedHealth Group Inc in Q2 2024 focuses on systems and methods for cross-entity load balancing using a distributed ledger. The method involves identifying a target entity from a group of candidate entities based on data associated with a valid invocation from a first entity. 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 metaverse as a theme in Q2 2024.
Recent Patents
Application: Cross-entity load balancing using a distributed ledger (Patent ID: US20240171396A1)
The patent filed by UnitedHealth Group Inc. describes systems and methods for cross-entity load balancing operations using a distributed ledger. The method involves identifying a target entity from a group of candidates based on data associated with a valid invocation received from a first entity. This process includes generating and providing a token and data related to the target entity to the first entity, receiving a second invocation from the target entity with a zero-knowledge proof, validating the proof, and storing a data structure on a distributed ledger.
The claims detail the steps involved in the method, including validating the zero-knowledge proof using a verifier kit, dealing with various types of data associated with the valid invocation such as historical data and agreed terms, and allocating remuneration to the target entity after proof validation. The system and non-transitory computer-readable medium described in the claims outline the components and instructions necessary to execute the method, emphasizing the use of a distributed ledger for storing data structures associated with valid invocations. Overall, the patent focuses on leveraging blockchain technology for efficient cross-entity load balancing operations in various contexts, including medical claims and service provider interactions.
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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.
