US 12,009,087 B2
Predictive modeling for mental health management
Gang Wu, Ballwin, MO (US); Christopher G. Lehmuth, St. Louis, MO (US); Amit K. Bothra, Wildwood, MO (US); and Pritesh J. Shah, Paramus, NJ (US)
Assigned to Evernorth Strategic Development, Inc., St. Louis, MO (US)
Filed by Evernorth Strategic Development, Inc., St. Louis, MO (US)
Filed on Jul. 27, 2021, as Appl. No. 17/386,223.
Claims priority of provisional application 63/115,464, filed on Nov. 18, 2020.
Prior Publication US 2022/0157433 A1, May 19, 2022
Int. Cl. G16H 40/20 (2018.01); G06N 20/00 (2019.01); G06Q 40/08 (2012.01); G16H 10/60 (2018.01); G16H 20/10 (2018.01); G16H 20/70 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 70/40 (2018.01); G16H 40/67 (2018.01)
CPC G16H 20/70 (2018.01) [G06N 20/00 (2019.01); G06Q 40/08 (2013.01); G16H 10/60 (2018.01); G16H 20/10 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 70/40 (2018.01); G16H 40/20 (2018.01); G16H 40/67 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
accessing, using a processor, member data associated with a patient from a database, the member data comprising a current medication data;
determining, based on the member data, that the patient is at risk for progression of a mental health illness associated with the patient;
in response to a determination that the patient is associated with the risk of progression of the mental health illness, generating a prediction based on a machine learning model trained to analyze the member data, the prediction corresponding to a probability that the current medication data will be supplemented with additional medication data corresponding to an additional medication that the patient is not currently using within a predetermined period of time;
based on the prediction, generating a standard score comprising an indication of a treatment efficiency of a physician associated with the patient; and
causing presentation of the standard score on a graphical user interface of a computing device.