title: Computing the compliance of physician drug orders with guidelines using an OWL2 reasoner and standard drug resources.
abstract: Assessing the conformity of a physician's prescription to a given recommended prescription is not obvious since both prescriptions are expressed at different levels of abstraction and may concern only a subpart of the whole order. Recent formalisms (OWL2) and tools (reasoners) from the semantic web technologies are becoming available to represent defined concepts and to handle classification services. We propose a generic framework based on such technologies, using available standardized drug resources, to compute the compliance of a given drug order to a recommended prescription, such that the subsumption relationship yields the conformity relationship between the order and the recommendation. The ATC drug classification has been used as a local ontology. The method has been successfully implemented for arterial hypertension management for which we had a sample of antihypertensive orders. However, supplemental standardized drug knowledge is needed to correctly compare drug orders to recommended orders.
authors: INSERM UMR_S 872, éq. 20, CRC, Paris, France.
authors: Joseph
authors: J
authors: Noussa Yao
authors: Brigitte
authors: B
authors: Séroussi
authors: Jacques
authors: J
authors: Bouaud
mesh_terms: D000465:Algorithms; D000959:Antihypertensive Agents / Q000494:pharmacology; D019983:Guideline Adherence; D006801:Humans; D006973:Hypertension / Q000188:drug therapy; D020407:Internet; D008490:Medical Informatics / Q000379:methods; D050316:Medical Order Entry Systems; D016347:Medical Records Systems, Computerized; D008508:Medication Errors / Q000517:prevention & control; D010595:Pharmacists; D010820:Physicians; D017410:Practice Guidelines as Topic; D012984:Software
chemical_list: D000959:Antihypertensive Agents