We demonstrate, with application to hypertension management, an algorithm for reconstructing therapeutic decisions from electronic primary care medication prescribing records. These decisions concern the initiation, termination and alteration of therapy, and have further utility in: monitoring patient adherence to medication; care pathway analysis including process mining; advanced phenotype construction; audit and feedback; and in measuring care quality.