UnitedHealth Group. has been granted a patent for an apparatus that enhances the determination of complexities in event data objects. It utilizes augmented event codes to generate risk and category-based complexity scores, enabling accurate predictions and corresponding actions based on the assessed complexities. 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 July 2024 was 42%. Grant share is based on the ratio of number of grants to total number of patents.
Risk-aware complexity determination for event data objects
The patent US12073223B1 describes an innovative apparatus and method for assessing the complexity of event data objects through a risk-aware framework. The core functionality involves identifying a range of augmented event codes associated with the event data object. For each code, the system calculates a code-wise risk score, which quantifies its contribution to the overall complexity, and a complexity designation that categorizes the code based on predefined complexity levels. The apparatus then computes a risk-based complexity score, derived from a subset of codes with the highest risk scores, and a category-based complexity score based on the complexity designations of all codes. This dual scoring system culminates in a predicted risk-aware complexity determination, which can inform subsequent predictive actions.
Additionally, the patent outlines that the augmented event codes may include primary event codes linked to a primary service encoding and historical event codes tied to a participant's history profile. The historical codes can be comprehensive or selected based on specific time intervals or subject matter designations. The method also emphasizes the importance of defining an intensive risk subset, which consists of codes with the highest category-based complexity scores. Furthermore, the determination of the category-based complexity score involves assessing the size of a selected subset of codes with affirmative complexity designations against a predefined threshold. This structured approach aims to enhance the accuracy and reliability of complexity assessments in various applications.
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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.
