Cerner Innovation, Inc.

Tanuj Gupta

Emin Agassi

Leo V Perez

Douglas S McNair

Kanakasabha K Kailasam

John Christopher Murrish

Gyandeep Singh

David Cohen

Alex Vickers

Jacob Geers

Rachel Gegen

Joe Geris

Justin Morrison

Josh Smith

Methods, systems, and computer-readable media are disclosed herein that provide a comprehensive view that reveals all or nearly all possible method dependencies that are present in client workflows. In aspects, when computer code for a particular method is going to be edited, other methods are identified that have upstream or downstream dependencies relative to the particular method. The methods that will be affected based on the computer code editing can be presented in a user-interactive graphical user interface that facilitates exploration of upstream and downstream dependencies.

De-duplication and contextually-intelligent recommendations based on natural language understanding of conversational sources

Methods and systems for enhanced natural language processing of clinical documentation are provided. Using natural language processing, a clinical condition is extracted from unstructured data within a current electronic document. A clinical ontology identifying itemsets associated with the clinical condition is retrieved, and indicators of relevant clinical concepts, as identified from the ontology, are searched from within the patient's longitudinal record, which comprises documentation from at least a prior encounter. Based on the whether the clinical concepts are present in the patent's record, a confidence is assigned to the NLP-extracted clinical condition, and one or more actions may be performed.

Systems and methods for enhancing natural language processing

Methods and systems for natural language processing/understanding of voice conversations are provided. Using natural language processing, a clinical condition is extracted from a voice conversation. A clinical ontology identifies clinical concepts associated with the clinical conditions. The clinical concepts are classified for documentation. The clinical concepts are searched and validated from within an individual's longitudinal record.

Document generation from conversational sources

Natural language understanding of conversational sources

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Leawood, KS, United States of America

Tanuj Gupta