Methods and systems for member messaging

A method comprising:

• identifying, on a computer processor, a member associated with a disease state using targeting data;
• determining, on the computer processor, a member classification of the member, wherein the member classification is based on past therapy the identified member received to treat a condition associated with the disease state and whether the identified member is a new-to-therapy member or an experienced-therapy member;
• determining, on the computer processor, a probability of adherence to a prescription drug based on the identification of the member, the member classification, and the disease state associated with the member;
• and
• selecting, on the computer processor, an intervention from a plurality of interventions for the identified member based on the probability of adherence.

A system comprising:

• a processor and a memory coupled to the processor;
• a disease state identification module deployed in the memory and executed by the processor to identify a disease state associated with a member;
• a member classification module deployed in the memory and executed by the processor to determine a member classification of the member, wherein the member classification is based on past therapy the member received to treat a condition associated with the disease state and whether the identified member is a new-to-therapy member or an experienced-therapy member;
• a therapy selection module deployed in the memory and executed by the processor to select a diagnostic loop based on the disease state associated with the member and the member classification, wherein the diagnostic loop includes a plurality of operations;
• and
• a therapy outreach module deployed in the memory and executed by the processor to perform at least one of the plurality of operations of the diagnostic loop.

A non-transitory machine-readable medium comprising instructions, which when executed by one or more processors, cause the one or more processors to perform the following operations:

• identifying, on a computer processor, a disease state associated with a member;
• determining, on the computer processor, a member classification of the member, wherein the member classification is based on past therapy the member received to treat a condition associated with the disease state and whether the identified member is a new-to-therapy member or an experienced-therapy member;
• selecting, on the computer processor, a diagnostic loop based on the disease state
• associated with the member and the member classification, wherein the diagnostic loop includes a plurality of operations;
• and
• performing, on the computer processor, at least one of the plurality of operations of the diagnostic loop.