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 |
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.
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