title: Making Medication Data Meaningful: Illustrated with Hypertension.
abstract: 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.
authors: MRC Health eResearch Centre.
authors: Richard
authors: R
authors: Williams
authors: MRC Health eResearch Centre.
authors: Benjamin
authors: B
authors: Brown
authors: MRC Health eResearch Centre.
authors: Niels
authors: N
authors: Peek
authors: MRC Health eResearch Centre.
authors: Iain
authors: I
authors: Buchan
mesh_terms: D000465:Algorithms; D000959:Antihypertensive Agents / Q000627:therapeutic use*; D011307:Drug Prescriptions / Q000706:statistics & numerical data*; D004358:Drug Therapy / Q000379:methods; D057286:Electronic Health Records; D005260:Female; D006801:Humans; D006973:Hypertension / Q000188:drug therapy*; D008297:Male; D055118:Medication Adherence; D008875:Middle Aged; D017891:Pharmacoepidemiology / Q000379:methods* / Q000706:statistics & numerical data
chemical_list: D000959:Antihypertensive Agents