Abstract: A method for training and using a machine-learning model to determine an execution date for an instruction and to determine an associated action item. A machine-learning model can be trained by receiving entity data that includes historical prescription data, by generating training data by labeling data in the entity data, and by training the machine-learning model by mapping the labeled data to possible predictions for subsequent prescription executions for the entity. Data, which includes at least a prescription and a previous execution date can be received. A subsequent execution date and an associated action item can be determined. A prescription can be executed on the subsequent execution date. The action item can be executed before the subsequent execution date.

Abstract: Methods, systems and computer program products for operating a pharmacy include scoring a patient with a processor in response to prescription and/or patient data associated with the patient to provide a prescription timing benefit score. The prescription timing benefit score includes an estimate of a degree to which the patient would increase prescription compliance when prescription fill dates of one or more prescriptions are periodically automatically refilled. When the prescription timing benefit score satisfies a predetermined threshold score, selecting periodic automatic refill dates with a processor for the one or more prescriptions.

Abstract: Methods, systems and computer program products for periodically refilling one or more prescriptions for one or more patients is provided, each of the prescriptions having a days supply associated therewith. The method includes a) receiving one or more prescriptions to periodically refill, each of the one or more prescriptions having a next fill date associated therewith, wherein the next fill date is a date when the prescription was last filled incremented by a days supply for the prescription; b) receiving an alignment date selection on a processor for the one or more prescriptions; c) automatically triggering a refill of the one or more prescription on the alignment date; and d) triggering one or more action items on a processor before and/or after the alignment date.