Patent ID: 11862164
Assignee: CERNER INNOVATION, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. One or more non-transitory computer-readable media having computer-executable instructions embodied thereon that when executed, provide a method for enhanced natural language processing, the media comprising:
generating a transcript of a voice input in real-time for a current encounter with a patient;
generating and causing display of a graphical user interface that is populated in real-time with the transcript, the transcript displayed in a transcript area;
extracting a plurality of conditions from the transcript;
validating each of the plurality of conditions based on data in an electronic health record of the patient of the patient,
wherein the electronic health record is a longitudinal electronic health record of the patient including at least one prior encounter,
wherein the validating comprises comparing each of the plurality of conditions to the data in the electronic health record of the patient and identifying the extracted conditions that exist in the longitudinal electronic health record,

identifying, for each of the validated plurality of conditions, a plurality of concepts related to the condition, wherein:
each concept of the plurality of concepts corresponds to the condition, and
each of the plurality of concepts is associated with a temporal function to identify that a concept of the plurality of concepts is a present issue or a past issue;

classifying each of the validated plurality of conditions that are validated based on the data in the electronic health record associated with the patient into one or more of a plurality of classes, each of the plurality of classes being defined by an ontology corresponding to the condition; and
generating and causing display of the graphical user interface to be populated in real-time with the validated plurality of conditions sorted into the one or more of the plurality of classes, each condition being displayed in a classification area.