UnitedHealth Group grant share with big data as a theme is 42% 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 specific subgroups for resource allocation based on the predicted causal effects.

The system includes a computing device with a processor and memory configured to implement the resource allocation method. It involves receiving historical data, generating predictive risk scores, and predicting causal effects using machine learning models. The system is designed to identify and prioritize resource allocation to specific resource-requesting entity subgroups based on the predicted causal effects, ultimately optimizing resource allocation decisions. The apparatus and computer program product also follow a similar approach, emphasizing the use of machine learning models for efficient resource allocation based on historical data and causal effect predictions.

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