The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 19, 2023

Filed:

Mar. 09, 2020
Applicant:

Cerner Innovation, Inc., Kansas City, KS (US);

Inventors:

James L. Poteet, III, Overland Park, KS (US);

Raymond G. Delano, III, Leawood, KS (US);

Julie Ann Jensen, Olathe, KS (US);

Assignee:

CERNER INNOVATION, INC., Kansas City, MO (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 40/08 (2012.01); G16H 10/60 (2018.01); G06N 20/00 (2019.01); G06Q 20/40 (2012.01); G06F 18/213 (2023.01);
U.S. Cl.
CPC ...
G06Q 40/08 (2013.01); G06F 18/213 (2023.01); G06N 20/00 (2019.01); G06Q 20/401 (2013.01); G16H 10/60 (2018.01);
Abstract

Methods, computer systems, and computer storage media are provided for utilizing machine learning to verify payers and/or health plans. HIPAA transactions can be utilized to train a machine learning model to intelligently link payers and/or health plans to specific employers. Initially, transaction data is received from electronic data interchange (EDI) insurance transactions. The transaction data comprises data corresponding to a plurality of employers, a plurality of payers, and a plurality of health plans provided by the plurality of payers. A machine learning model is trained with the transaction data to build a mapping of the plurality of employers, the plurality of payers contracted with each employer of the plurality of employers, and the plurality of health plans provided by the plurality of payers for each employer of the plurality of employers. The machine learning model is utilized to verify the scan data is mapped in accordance with the mapping.


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