US 12,249,414 B2
Mental health predictive model management system
Gang Wu, Ballwin, MO (US); Christopher G. Lehmuth, St. Louis, MO (US); Amit K. Bothra, Wildwood, MO (US); Pritesh J. Shah, Paramus, NJ (US); Zachary A. Goodman, St. Louis, MO (US); Kelcey A. Blair, Chattanooga, TN (US); Callie S. Carter, St. Louis, MO (US); Jackie L. Ahlstrom, Inver Grove Heights, MN (US); Amy C. Gross, Bloomington, MN (US); Jeremy A. Rower, West Linn, OR (US); Rochelle R. Henderson, Edwardsville, IL (US); and Snezana Mahon, Creve Coeur, MO (US)
Assigned to Evernorth Strategic Development, Inc., St. Louis, MO (US)
Filed by Evernorth Strategic Development, Inc., St. Louis, MO (US)
Filed on Nov. 17, 2021, as Appl. No. 17/528,732.
Application 17/528,732 is a continuation in part of application No. 17/386,223, filed on Jul. 27, 2021, granted, now 12,009,087.
Claims priority of provisional application 63/115,464, filed on Nov. 18, 2020.
Prior Publication US 2022/0157435 A1, May 19, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G16H 20/10 (2018.01); G16H 10/60 (2018.01); G16H 20/70 (2018.01); G16H 50/20 (2018.01); A61B 5/16 (2006.01); G06Q 40/08 (2012.01); G16H 40/20 (2018.01)
CPC G16H 20/70 (2018.01) [G16H 10/60 (2018.01); G16H 20/10 (2018.01); G16H 50/20 (2018.01); A61B 5/165 (2013.01); G06Q 40/08 (2013.01); G16H 40/20 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
accessing, using a processor, member data and claim data associated with mental health of a patient from a database;
determining, based on the member data, that the patient is associated with a trigger event, the trigger event being a mental health event;
identifying, within a computing system, that a machine learning model is associated with the trigger event;
generate, with the machine learning model, a prediction based on the member data and the claim data, wherein the prediction includes one or more of a first identification that the patient will become a chronic user of a type of medicine within a predetermined time frame, or a second identification that a modification will be made to a current medication of the patient;
generating a notification based on the trigger event, the notification comprising the prediction;
validating the notification based on a notification history associated with the patient; and
transmitting the notification to a computing device to cause the computing device to display the notification.