UnitedHealth Group had four patents in ecommerce during Q4 2023. The patents filed by UnitedHealth Group Inc in Q4 2023 focus on techniques for estimating healthcare costs using machine learning models applied to user data, integrating clustering schemes for predictive data analysis, and generating travel-booking user interfaces based on user-specific incentives related to healthcare skills and health metrics of passengers. These innovations aim to improve cost estimation, data analysis, and user experience in the healthcare and travel industries. GlobalData’s report on UnitedHealth Group gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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UnitedHealth Group grant share with ecommerce as a theme is 25% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: System for predicting healthcare spend and generating fund use recommendations (Patent ID: US20230351517A1)
The patent filed by UnitedHealth Group Inc. describes a method and system for estimating healthcare costs using machine learning models applied to user subgraphs representing medical information. The system generates estimated healthcare costs for future time periods and creates user interfaces with budgets and selectable medical expense categories. The method involves training the ML model on various datasets, including demographic embeddings and medical embeddings, to accurately predict healthcare costs based on user information. Additionally, the system allows for budget adjustments, subset selections, and ranking of medical expense categories based on importance to health.
The system includes processing circuitry that applies ML models to user subgraphs, generates user interfaces with budgets and medical expense categories, and performs traversals of healthcare graphs to gather user information. The processing circuitry is capable of training the ML model on multiple datasets, adjusting budgets, handling subset selections, and ranking medical expense categories based on importance. The non-transitory computer-readable storage medium contains instructions for applying ML models, generating user interfaces, and performing healthcare graph traversals to estimate healthcare costs accurately. Overall, the patent outlines a comprehensive system for estimating healthcare costs using machine learning techniques and user data representations.
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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.
