UnitedHealth Group grant share with artificial intelligence as a theme is 48% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Causal inference for optimized resource allocation (Patent ID: US20240104407A1)

The patent filed by UnitedHealth Group Inc. describes a method and system for resource allocation using machine learning models. The method involves receiving historical data related to resource allocation decisions and outcomes, utilizing predictive and causal inference machine learning models to generate risk scores and predict causal effects, respectively. The models are trained to determine causal effect values for different resource-requesting entity subgroups, allowing for the identification and prioritization of these subgroups for resource allocation. The system aims to optimize resource allocation by taking into account past actions and outcomes, as well as expert knowledge data stored in databases.

The invention outlined in the patent claims involves a computer-implemented method, an apparatus, and a computer program product for allocating resources based on historical data and predictive and causal inference machine learning models. The method includes actions such as identifying resource-requesting entity subgroups, ranking them based on causal effect values, and performing prediction-based actions to allocate resources efficiently. The apparatus and computer program product are configured to receive historical data, generate predictive risk scores, and predict causal effects using machine learning models, ultimately improving resource allocation decisions by prioritizing certain resource-requesting entity subgroups. The patent emphasizes the importance of utilizing both predictive and causal inference models to optimize resource allocation strategies.

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