UnitedHealth Group. has been granted a patent for a computer-implemented method that processes clinical documentation using natural language processing. The method segments narrative text, maps it to an ontology, and generates medical codes based on a multi-axial coding scheme, enhancing clinical documentation efficiency. 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 June 2024 was 42%. Grant share is based on the ratio of number of grants to total number of patents.
Natural language processing for clinical documentation coding
The patent US12045575B2 outlines a computer-implemented method and system for processing clinical documents using natural language processing (NLP) techniques. The method involves generating segmented narrative text from unstructured clinical documents by identifying boundaries within the text. It further sequences the words of this segmented text and maps them to candidate semantic objects defined in a multi-axial coding scheme ontology. This ontology organizes semantic objects into a hierarchical structure, allowing for the classification of medical codes related to procedures and diagnoses. The system filters these candidate objects to select relevant semantic objects, determines characters to be inserted into specific positions of a medical code, and outputs the final medical code, which may include wildcard characters if necessary information is missing.
Additionally, the patent describes features for enhancing the usability of the generated medical codes. It includes the capability to output the medical code to a user interface and generate trace data that links the derived characters back to their original narrative text locations. The system can also utilize a context classifier machine learning model to identify contextual properties of candidate semantic objects, improving the accuracy of the filtering process. This comprehensive approach aims to streamline the coding of medical procedures and diagnoses, thereby enhancing the efficiency of clinical documentation and coding practices.
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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.
