DUPLICATION DETECTION IN CLINICAL DOCUMENTATION

Patent №

US 9,921,731

Granted

2018-03-20

Filed 2014

Owner

CERNER INNOVATION, INC.

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14587695

Methods, systems, and computer-readable media are provided to detect similarities in clinical documents that might be inaccurate or inappropriate. A first clinical document and a second clinical document that are to be compared are identified. This identification of the documents is based on times associated with the first and second clinical documents, an identity of clinicians who authored the first and second clinical documents, an identity of patients associated with the first and second clinical documents, a type of the first and second clinical documents, or contents of the first and second clinical documents. The first clinical document is compared to a portion of the second clinical document. A report is automatically generated, where the report indicates the similarities between the portion of the first clinical document and the portion of the second clinical document that are potentially inaccurate or inappropriate.

Machine learningNatural languageKnowledge representationPlanningAI hardwareG16H 70/00G06F 3/0484G06F 3/04842G06F 16/1748G06F 16/2358G06F 16/24556G06F 16/24578G06F 16/2477+9 more

AI classification

Natural language1.00
Planning1.00
Knowledge representation1.00
AI hardware0.98
Machine learning0.96
Vision0.00
Evolutionary computation0.00
Speech0.00

Ownership

CERNER INNOVATION, INC.

assignment · 364390443

Assignors

FINN, CHRISTOPHER S., KOLM, MARGARET C., O'LARTE, DAVID J., CROOKS, STEVEN S.

On an employer assignment, the assignors are typically the inventors.

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