Fidelity National Financial. has been granted a patent for a method that enhances medical data entry systems. The system correlates clinical concepts with diagnosis codes, ensuring data requirements are met for accurate coding, thereby improving the efficiency of patient encounter documentation and billing processes. GlobalData’s report on Fidelity National Financial 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 Fidelity National Financial, was a key innovation area identified from patents. Fidelity National Financial's grant share as of July 2024 was 55%. Grant share is based on the ratio of number of grants to total number of patents.
Medical data entry system for diagnosis code specification
The granted patent US12039495B2 outlines a method for enhancing the functionality of a graphical user interface (GUI) in a medical data entry system. The method involves a processing device that receives inputs related to clinical concepts, which are linked to diagnosis codes and their associated data requirements. The system determines if these data requirements are met, designating the diagnosis code as fully specified when they are. If the requirements are not met, the GUI generates additional elements that allow users to select data items indicating whether the requirements have been satisfied. The process is iterative, enabling the collection of further inputs until a stop condition is reached, which confirms the association of the clinical concept with the appropriate diagnosis code.
Additionally, the patent describes various features of the system, including the ability to provide feedback reports to users regarding deficiencies in the data required for generating fully specified diagnosis codes. The GUI can also facilitate backfilling entries in an examination history and carry forward selections as new sections of the GUI are presented. The processing device is designed to perform point-to-point correlations and contextual analyses of inputs against a range of diagnosis codes, which may include payer codes. This comprehensive approach aims to streamline the data entry process in medical settings, ensuring that clinical concepts are accurately associated with the correct diagnosis codes based on user inputs.
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