Patent ID: 11875883
Assignee: CERNER INNOVATION, INC.
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 18:
19. A system for de-duplication and contextual recommendations using natural language understanding on voice conversations, the system comprising:
a clinical ontology determination module that:
identifies one or more clinical concepts using one or more clinical ontologies, each clinical ontology providing contextual relationships between the one or more clinical concepts, wherein the one or more clinical concepts are identified in a near real-time transcription of voice data being captured by a device; and
for each of the one or more clinical concepts, identifies one or more classification groups that correspond to the clinical concept;
a contextual determination module that:
for each of the one or more clinical concepts, determines whether the clinical concept is contextually present or contextually absent in a data source by utilizing the contextual relationships provided by the one or more clinical ontologies to contextually match an item in the data source, the item corresponding to the one or more clinical concepts;
for each of the one or more clinical concepts determined to be contextually absent in the data source, provides a primary recommendation for addressing each of the one or more clinical concepts determined to be contextually absent, wherein the primary recommendation includes adding a corresponding clinical concept that was contextually absent to an electronic documentation of a particular clinical visit within the data source; and
for each of the one or more clinical concepts determined to be contextually present, provides a secondary recommendation for addressing each of the one or more clinical concepts determined to be contextually present, wherein the secondary recommendation includes modifying the corresponding clinical concept that is contextually present in the data source and/or initiating a clinical action that is specific to the clinical concept, the clinical action includes an electronic medical order for a specific patient, medicine, and dosage; and a graphical user interface module that:
populates a graphical user interface with (i) the one or more clinical concepts determined to be contextually absent as sorted into the one or more classification groups and the primary recommendation, and (ii) the one or more clinical concepts determined to be contextually present as sorted into the one or more classification groups and the secondary recommendations, wherein the graphical user interface is populated in near real-time with the transcription of the voice data, the primary and secondary recommendations, and one or more newly identified clinical concepts.