Cerner Innovation, Inc.

David Cohen

Douglas S McNair

Kanakasabha K Kailasam

John Christopher Murrish

Tanuj Gupta

Josh Smith

Alex Vickers

Michael Alan Ash

Thomas C Gifford

Brian J Lancaster

J D Tyler

Heather Owen

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, systems, and computer-storage media are provided for enabling a user to dynamically create associations and take actions with respect to a clinical finding associated with a patient. After selecting a clinical finding that is of interest in a first workflow application, a graphical user interface is automatically presented. The graphical user interface includes trending information for the clinical finding as well as information related to the clinical finding. The graphical user interface enables a clinician to associate the clinical finding with a current patient problem or a possible diagnosis related to the clinical finding. Additionally, the graphical user interface enables the clinician to take actions with respect to the clinical finding.

Dynamic association and documentation

Growing community of inventors

Leawood, KS, United States of America

David Cohen