UnitedHealth Group’s patent involves a computer-implemented method for predictive prompt generation during interactions with an automated prompt system. The system uses metadata and a multi-label predictive model to identify prompt information data objects based on interaction probabilities. This innovation aims to enhance user experience and efficiency in automated interactions. 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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According to GlobalData’s company profile on UnitedHealth Group, Content recommendation models was a key innovation area identified from patents. UnitedHealth Group's grant share as of January 2024 was 40%. Grant share is based on the ratio of number of grants to total number of patents.
Predictive prompt generation for automated prompt systems
A recently granted patent (Publication Number: US11886509B2) discloses a computer-implemented method and system for enhancing interactions between a party and an automated prompt system. The method involves generating interaction probabilities based on metadata associated with the interaction and utilizing a trained multi-label predictive model. These interaction probabilities are linked to prompt question data objects, which are generated by clustering historical question data objects and identifying representative prompt questions. The system then selects prompt questions based on interaction probability thresholds and provides them to the party during the interaction, improving the efficiency and relevance of the prompts provided.
Furthermore, the system can handle various types of interactions, such as audio call sessions or chat sessions, and can be implemented using technologies like interactive voice response systems or chatbot systems. The method and system aim to optimize the prompt selection process by leveraging historical data and predictive models, ultimately enhancing the user experience during interactions with automated systems. By efficiently identifying and providing relevant prompt questions based on interaction probabilities, the technology described in the patent can streamline interactions and improve the overall effectiveness of automated prompt systems in various scenarios.
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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.
