CPC G06Q 30/0207 (2013.01) [G06Q 50/22 (2013.01); G16H 10/60 (2018.01); G16H 20/10 (2018.01); G16H 40/20 (2018.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01)] | 20 Claims |
1. A system configured to identify a patient population in a healthcare program based on, in part, a predictive function applied to characteristics of a patient, the system comprising:
a processor; and
a memory configured to store computer readable instructions that, when executed by the processor, cause the system to:
determine a list of health care providers and patients;
generate an adherence risk score for each patient using a prediction function;
apply the score to each patient in the list of patients;
identify a subset of patients from the one or more patients based on, at least, factors related to a likelihood of adherence after a given intervention is carried out; and
generate a user interface for display having at least a first view, wherein the first view includes:
an identification of at least one prescriber or an identification of at least one patient;
an itemized listing of therapy areas associated with each patient from the subset of patients, and
each line item in the itemized listing of therapy areas includes, at least, a monetary indication associated with at least one therapy in each line item.
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