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. 03, 2024

Filed:

Feb. 27, 2020
Applicant:

Cambia Health Solutions, Inc., Portland, OR (US);

Inventors:

Dean Nida, Portland, OR (US);

Michael Brown-Hayes, Portland, OR (US);

James Chung, Sherwood, OR (US);

Carolyn Espinoza, Woodburn, OR (US);

Michael Emerson, Portland, OR (US);

John Larson, Portland, OR (US);

Jennifer Tschirpke, Portland, OR (US);

Assignee:

CAMBIA HEALTH SOLUTIONS, INC., Portland, OR (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 40/20 (2018.01); G06F 3/0482 (2013.01); G06F 3/04845 (2022.01); G06F 3/04847 (2022.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 40/40 (2018.01); G16H 50/30 (2018.01); G16H 80/00 (2018.01); H04L 67/01 (2022.01);
U.S. Cl.
CPC ...
G16H 15/00 (2018.01); G06F 3/0482 (2013.01); G06F 3/04845 (2013.01); G06F 3/04847 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 40/20 (2018.01); G16H 40/40 (2018.01); G16H 50/30 (2018.01); G16H 80/00 (2018.01); H04L 67/01 (2022.05);
Abstract

Systems and methods for generating and actively improving clinical queues are provided. In one embodiment, a method includes generating, with a plurality of predictive models, a plurality of risk scores for each individual a plurality of individuals based on medical claims of each individual, transmitting a clinical queue to a client device associated with a healthcare provider, the clinical queue comprising a list of individuals prioritized for healthcare intervention based on the plurality of risk scores, receiving feedback from the client device regarding the clinical queue, and updating at least one predictive model of the plurality of predictive models based on the feedback. In this way, members may be identified for intervention in a timely manner, multiple assessment methods may be combined to generate clinical queues, and the assessment methods may be actively improved over time.


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