Systems and methods to improve use of patient prescribed video materials by (1) providing patients with the right amount of resources/time that they individually need, where the resources/time are determined based on quantifiable metrics recorded by clinically validated instruments as well as other data; (2) classifying and segmenting patients into behavioral phenotypes based on real-time responses and predicting healthcare utilization, adherence, and trajectory of the patient; and (3) based on the predictions, generating a customized microlearning video library, tailored to the patient's needs and abilities. These improvements and efficiencies can be provided through a cloud-based enterprise computing architecture based on communications made directly to wireless devices controlled by the patient.