Humana has patented a system for assessing the accuracy of diagnoses in health records. The method involves analyzing dimensions and weightings specific to each diagnosis, providing a user interface for healthcare providers to review and adjust the assessment, ultimately improving the accuracy of diagnoses. GlobalData’s report on Humana gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Humana, AI for workflow management was a key innovation area identified from patents. Humana's grant share as of January 2024 was 45%. Grant share is based on the ratio of number of grants to total number of patents.
Optimizing veracity scores for diagnoses in patient records
A recently granted patent (Publication Number: US11875902B2) outlines a method and system for generating and optimizing veracity scores for diagnoses in patient records. The method involves electronically receiving a patient's health record, retrieving data representing dimensions and weighting values specific to the diagnosis, applying these values to a selected function to determine a veracity score, and displaying the score along with supporting reasoning on a visualization dashboard for healthcare providers. A veracity feedback tool allows providers to indicate agreement or disagreement with the diagnosis, automatically adjusting weighting values based on this feedback for future veracity score determinations. The system includes healthcare provider devices, data stores with health records, functions, dimensions, weighting values, and a diagnosis assessment unit to retrieve and process data for accurate veracity scoring.
The system further includes a visualization dashboard generator to display diagnoses, veracity scores, and supporting reasoning, as well as a feedback processing system for user input on diagnosis veracity. If a new diagnosis reaches a predetermined veracity threshold, it is added to the patient's health record. The method and system aim to enhance the accuracy of diagnoses by incorporating various dimensions such as the type of entity recording the diagnosis, physical location, date of diagnosis, related diagnoses, medications, procedures, and lab values. By allowing healthcare providers to provide feedback on veracity and adjusting weighting values accordingly, the system ensures continuous optimization of veracity scores for diagnoses in patient records, ultimately improving the quality of healthcare delivery.
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