Abstract: A computer system identifies supplemental materials most effective at increasing adherence for each of a plurality of different medications and provides the materials at an optimal point in time. An example method generates a first user interface for receiving an electronic prescription for a patient for a prescribed substance. Responsive to receiving the electronic prescription, the method includes obtaining adherence data for the patient, identifying supplemental programs associated with the prescribed substance from a database of supplemental programs, generating a second user interface that presents the supplemental programs for selection by the health care provider, and responsive to receiving selection of at least one of the supplemental programs in the second user interface, providing the supplemental programs to the patient. The supplemental programs identified from the database are associated with at least one rule relating to adherence data that is met by the adherence data for the patient.

Abstract: A computer system identifies supplemental materials most effective at increasing adherence for each of a plurality of different medications and provides the materials at an optimal point in time. An example method generates a first user interface for receiving an electronic prescription for a patient for a prescribed substance. Responsive to receiving the electronic prescription, the method includes obtaining adherence data for the patient, identifying supplemental programs associated with the prescribed substance from a database of supplemental programs, generating a second user interface that presents the supplemental programs for selection by the health care provider, and responsive to receiving selection of at least one of the supplemental programs in the second user interface, providing the supplemental programs to the patient. The supplemental programs identified from the database are associated with at least one rule relating to adherence data that is met by the adherence data for the patient.

Abstract: A computer system identifies supplemental materials most effective at increasing adherence for each of a plurality of different medications and provides the materials at an optimal point in time. An example method generates a first user interface for receiving an electronic prescription for a patient for a prescribed substance. Responsive to receiving the electronic prescription, the method includes obtaining adherence data for the patient, identifying supplemental programs associated with the prescribed substance from a database of supplemental programs, generating a second user interface that presents the supplemental programs for selection by the health care provider, and responsive to receiving selection of at least one of the supplemental programs in the second user interface, providing the supplemental programs to the patient. The supplemental programs identified from the database are associated with at least one rule relating to adherence data that is met by the adherence data for the patient.

Abstract: A computer system identifies supplemental materials most effective at increasing adherence for each of a plurality of different medications and provides the materials at an optimal point in time. An example method generates a first user interface for receiving an electronic prescription for a patient for a prescribed substance. Responsive to receiving the electronic prescription, the method includes obtaining adherence data for the patient, identifying supplemental programs associated with the prescribed substance from a database of supplemental programs, generating a second user interface that presents the supplemental programs for selection by the health care provider, and responsive to receiving selection of at least one of the supplemental programs in the second user interface, providing the supplemental programs to the patient. The supplemental programs identified from the database are associated with at least one rule relating to adherence data that is met by the adherence data for the patient.

Abstract: A computer system identifies the permutation of supplemental materials most effective at increasing adherence for each of a plurality of different medication diagnostic codes and provides the materials at an optimal point in time. An example system includes a supplemental program (SP) module implemented on a computing device that receives a plurality of supplemental programs associated with the one or more prescribed substances, identifies a plurality of permutations of the plurality of supplemental programs, constructs a plurality of cohorts, each of the cohorts corresponding to a prescribed substance and associated with a permutation, receives adherence data collected with respect to the plurality of permutations associated with the plurality of cohorts; and determines effectiveness of each of the plurality of permutations based on the adherence data.

Abstract: A computer system identifies the permutation of supplemental materials most effective at increasing adherence for each of a plurality of different medication diagnostic codes and provides the materials at an optimal point in time. An example system includes a supplemental program (SP) module implemented on a computing device that receives a plurality of supplemental programs associated with the one or more prescribed substances, identifies a plurality of permutations of the plurality of supplemental programs, constructs a plurality of cohorts, each of the cohorts corresponding to a prescribed substance and associated with a permutation, receives adherence data collected with respect to the plurality of permutations associated with the plurality of cohorts; and determines effectiveness of each of the plurality of permutations based on the adherence data.

Abstract: The present invention relates generally to a method of provisioning a combined educational coupon that includes a) receiving, on a computer apparatus, electronic prescription data for a prescribed substance for a patient; b) the computer apparatus determining educational data relating to the prescribed substance and coupon data relating to the prescribed substance; and c) the computer apparatus generating a single data file comprising the educational data relating to the prescribed substance and the coupon data relating to the prescribed substance.

Abstract: The present invention relates generally to a method of provisioning a combined educational coupon that includes a) receiving, on a computer apparatus, electronic prescription data for a prescribed substance for a patient; b) the computer apparatus determining educational data relating to the prescribed substance and coupon data relating to the prescribed substance; and c) the computer apparatus generating a single data file comprising the educational data relating to the prescribed substance and the coupon data relating to the prescribed substance.

Abstract: A pharmacy Interactive Voice Response (IVR) system can identify a targeted message for playing to a caller using criteria that are based on a prescription number that is provided by the caller. The functionality of an IVR system can thereby be enhanced to provide targeted educational messages concerning the pharmaceutical prescription, targeted messages that indicate alternative medications that may substituted for the pharmaceutical prescription, targeted messages that identify other items that may be desired, targeted messages that solicit participation in a study related to the pharmaceutical prescription and/or other targeted messages. Related systems and computer program products are also discussed.