Abstract: A method, apparatus and computer program product are provided for providing a patient with prescribed medication cost information at a point of prescribing. A prescription benefit coverage inquiry is received and provided to a claims processor for processing. Historical data associated with prior prescription transactions is utilized to determine an estimated cost range of a prescribed medication in the event of an insufficient or absent response from a benefits manager. The estimated cost range is then provided to a prescriber to share with a patient. A targeted out-of-pocket cost according to incentives, such as vouchers and drug manufacturer rebates may also be provided.

Abstract: A method, apparatus and computer program product are provided for providing a patient with prescribed medication cost information at a point of prescribing. A prescription benefit coverage inquiry is received and provided to a claims processor for processing. Historical data associated with prior prescription transactions is utilized to determine an estimated cost range of a prescribed medication in the event of an insufficient or absent response from a benefits manager. The estimated cost range is then provided to a prescriber to share with a patient.

Abstract: Client activity can be analyzed and risk candidates identified based on the client activities. A client database can be analyzed for determination of clients having a high risk for a financial institution. The determination is based on known activities of filtered clients where the activities are historically indicative of resulting in a loss for the financial institution. A target client profile representative of a high risk client may be selected. The client database can be mapped to find similar clients to be identified as a high risk of loss.

Abstract: Systems and methods of analyzing client activity and identifying loss risk candidates based on the client activities is provided. A client database can be analyzed for determination of clients having a high risk of losses for a financial institution. The determination is based on known activities of filtered clients where the activities are historically indicative of resulting in a loss for the financial institution. A target client profile representative of a high risk client may be selected. The client database can be mapped to find similar clients to be identified as a high risk of loss.

Abstract: Systems and methods are provided for generating an individual's longitudinal medication history. Consent to generate an individual's longitudinal medication history across a pharmacy(s) and a claims processor(s) is received. A first collection of medication history data corresponding to the individual is selectively identified from medication history data files associated with the claims processor(s) and a first plurality of individuals. The selective identification is based on a claims processor patient identifier(s) associated with the individual and the claims processor(s). A second collection of medication history data corresponding to the individual is selectively identified from medication history data files associated with the pharmacy(s) and a second plurality of individuals. The selective identification is based on a linking index(s) associated with the claims processor patient identifier(s).