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:
Jan. 03, 2023

Filed:

Nov. 11, 2020
Applicant:

Express Scripts Strategic Development, Inc., St. Louis, MO (US);

Inventors:

Amit K. Bothra, St. Louis, MO (US);

Pritesh J. Shah, Paramus, NJ (US);

Christopher G. Lehmuth, St. Louis, MO (US);

Bradley D. Flynn, St. Louis, MO (US);

Varun Tandra, Teaneck, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 40/20 (2018.01); G06N 3/08 (2006.01); G06Q 50/00 (2012.01); G06Q 30/02 (2012.01); G06Q 10/10 (2012.01); G16H 20/10 (2018.01); G16H 50/30 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); A61B 5/00 (2006.01); G16H 80/00 (2018.01); H04L 65/1066 (2022.01);
U.S. Cl.
CPC ...
G16H 40/20 (2018.01); A61B 5/4833 (2013.01); G06N 3/08 (2013.01); G06Q 10/107 (2013.01); G06Q 30/0201 (2013.01); G06Q 50/01 (2013.01); G16H 20/10 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); G16H 80/00 (2018.01); H04L 65/1066 (2013.01);
Abstract

A computer-implemented method includes generating an intervention model for a population of users based on engagement data indicating successfulness of prior interventions for each of the population of users. Each prior intervention corresponds to one of multiple engagement channels, and the intervention model includes multiple channel-specific models. The method includes supplying data related to a first user as input to the intervention model to determine multiple channel-specific intervention expectations. Each channel-specific intervention expectation indicates a likelihood that the first user will take action in response to an intervention being executed using the corresponding engagement channel. The method includes determining a likelihood of a gap in care for the first user, and in response to the gap in care likelihood exceeding a minimum threshold, selecting a first intervention according to the channel-specific intervention expectation that has a highest determined value, and scheduling the selected first intervention for execution.


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