US 12,494,274 B2
De-duplication and contextually-intelligent recommendations based on natural language understanding of conversational sources
Leo V. Perez, Platte City, MO (US); Justin Morrison, Kansas City, KS (US); Tanuj Gupta, Leawood, KS (US); Joe Geris, Kansas City, KS (US); Rachel Gegen, Overland Park, KS (US); Jacob Geers, Kansas City, KS (US); Gyandeep Singh, Olathe, KS (US); and Emin Agassi, Blue Bell, PA (US)
Assigned to Cerner Innovation, Inc., Kansas City, MO (US)
Filed by CERNER INNOVATION, INC., Kansas City, KS (US)
Filed on Dec. 5, 2023, as Appl. No. 18/530,027.
Application 18/530,027 is a continuation of application No. 17/132,859, filed on Dec. 23, 2020, granted, now 11,875,883.
Application 17/132,859 is a continuation in part of application No. 16/720,641, filed on Dec. 19, 2019, granted, now 11,398,232, issued on Jul. 26, 2022.
Claims priority of provisional application 62/783,695, filed on Dec. 21, 2018.
Claims priority of provisional application 62/783,688, filed on Dec. 21, 2018.
Prior Publication US 2024/0105294 A1, Mar. 28, 2024
Int. Cl. G16H 10/60 (2018.01); G06F 3/0482 (2013.01); G06F 16/215 (2019.01); G06F 40/174 (2020.01); G06F 40/279 (2020.01); G06F 40/30 (2020.01); G10L 15/18 (2013.01); G10L 15/22 (2006.01); G16H 20/10 (2018.01); G16H 40/20 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16H 70/20 (2018.01); G16H 70/40 (2018.01)
CPC G16H 10/60 (2018.01) [G06F 3/0482 (2013.01); G06F 16/215 (2019.01); G06F 40/174 (2020.01); G06F 40/279 (2020.01); G06F 40/30 (2020.01); G10L 15/1815 (2013.01); G10L 15/22 (2013.01); G16H 20/10 (2018.01); G16H 40/20 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16H 70/20 (2018.01); G16H 70/40 (2018.01)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
receiving an indication to perform a patient consent check;
determining electronically whether a patient consent status is satisfied based on electronic documentation in an electronic medical record of the patient;
when the patient consent status is not satisfied:
blocking a voice transcription service, wherein blocking the voice transcription service includes preventing a clinician from activating the voice transcription service through voice commands and/or via a graphical user interface;
when the patient consent status is satisfied:
activating the voice transcription service;
receiving, one or more voice inputs based on the activation of the voice transcription service;
populating a transcription with the one or more voice inputs in an unstructured format;
extracting at least one clinical condition from the one or more voice inputs;
identifying one or more clinical concepts related to the at least one clinical condition using one or more clinical ontologies for the at least one clinical condition, wherein each clinical ontology provides contextual relationships between the clinical condition and the one or more clinical concepts;
utilizing the one or more clinical concepts, populating the graphical user interface with the one or more clinical concepts into one or more classification groups, the one or more classification groups corresponding to standard classifications;
populating the graphical user interface with a proposed actions tab, wherein the proposed action tab includes one or more proposed actions, wherein the one or more proposed actions include one or more concepts sorted into corresponding classification groups, and wherein each of the one or more proposed actions includes one or more selectable options;
receiving a user selection of the one or more proposed actions through the selectable options; and
in response to the user selection of the one or more proposed actions, automatically placing one or more medical orders based on the one or more proposed actions.