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 method for predicting a day-ahead wind power of wind farms, comprising: constructing a raw data set based on a correlation between the to-be-predicted daily wind power, the numerical weather forecast meteorological feature and a historical daily wind power; obtaining a clustered data set and performing k-means clustering, obtaining a raw data set with cluster labels, and generating massive labeled scenes based on robust auxiliary classifier generative adversarial networks; determining the cluster label category of the to-be-predicted day based on the known historical daily wind power and numerical weather forecast meteorological feature, and screening out multiple scenes with high similarity to the to-be-predicted daily wind power based on the cluster label category; and obtaining the prediction results of the to-be-predicted daily wind power at a plurality of set times based on an average value, an upper limit value and a lower limit value of the to-be-predicted daily wind power.

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: A system and method for increasing patient adherence to following medication treatment regimens. An adherence data processing and communication system generates and displays medication adherence data based on historical medication information. The system is linked to other systems involved with electronic ordering and filling of prescriptions, such as electronic prescription and pharmacy systems all connected by suitable wired and/or wireless communication protocols including the Internet. In one embodiment, the adherence data is displayed in the form of an interactive report card which provides a user with adherence metrics in both summary and more detailed formats for prescription medications taken by the patient. A related method executed by the data processing and communication system is disclosed.

Abstract: A system and method for increasing patient adherence to following medication treatment regimens. An adherence data processing and communication system generates and displays medication adherence data based on historical medication information. The system is linked to other systems involved with electronic ordering and filling of prescriptions, such as electronic prescription and pharmacy systems all connected by suitable wired and/or wireless communication protocols including the Internet. In one embodiment, the adherence data is displayed in the form of an interactive report card which provides a user with adherence metrics in both summary and more detailed formats for prescription medications taken by the patient. A related method executed by the data processing and communication system is disclosed.

Abstract: A system and method for increasing patient adherence to following medication treatment regimens. An adherence data processing and communication system generates and displays medication adherence data based on historical medication information. The system is linked to other systems involved with electronic ordering and filling of prescriptions, such as electronic prescription and pharmacy systems all connected by suitable wired and/or wireless communication protocols including the Internet. In one embodiment, the adherence data is displayed in the form of an interactive report card which provides a user with adherence metrics in both summary and more detailed formats for prescription medications taken by the patient. A related method executed by the data processing and communication system is disclosed.

Abstract: The present invention relates generally to a method of supplementing an electronic prescription issued by a health care provider, the method comprising: a) receiving, on a computer apparatus, electronic prescription data generated by a health care provider for a patient for a prescribed substance; b) the computer apparatus determining, from a plurality of available supplemental programs stored on one or more databases, supplemental programs for which the patient is eligible based on the electronic prescription data; c) presenting to the health care provider, in a display device, a list of the eligible supplemental programs, each of the eligible supplemental programs being selectable and de-selectable by the health care provider in the display device; and d) the computer apparatus activating each supplemental program from the plurality of available supplemental programs that have been selected and confirmed by the health care provider in the display device.

Abstract: The present invention relates generally to a method of determining effectiveness of supplemental programs on patient adherence that includes: a) a computer apparatus assigning to each of a plurality of cohorts a different permutation of supplemental programs available for one or more prescribed substances, wherein each of the plurality of cohorts is a sub-set of a plurality of health care providers; b) receiving, on the computer apparatus, data relating to an electronic prescription of the one or more prescribed substances generated by a health care provider of the plurality of health care providers; and c) the computer, apparatus activating the supplemental programs associated with the cohort to which the health care provider belongs.

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.