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Abstract

A method and apparatus for improving patient compliance with prescriptions utilizes computer terminals to convert prescription information into electronic form as records for each patient. Each such patient record includes information about the patient from the prescription and the prescription itself. In addition, demographic information about the patient is obtained from other commercial databases and added to the patient record. Then a regression analysis is run on the patient records using the various data elements versus the compliance of the patient with the prescription to determine the relative importance of each variable in the prediction. The analysis is used to segregate the patients into demographic clusters and to associate champion intervention messages with each cluster. When a patient's prescription is entered in the system thereafter, the model is used to associate the patient with a cluster and to direct the champion message to that patient. Further, a regression analysis may be run on the patient data to create a model of likelihood of prescription compliance in general by the patient. The result is a probability equation that allows a score to be assigned to each record. Based on this score; the patients most likely to fail to comply with their prescription are sent the champion interventions. As new challenge interventions messages are created additional information is gathered and the regression analysis is re-run. If the challenge message is more successful, it is substituted as the new champion message. The results of these interventions are recorded and appended to the related patient record.

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