title: Ontological approach for safe and effective polypharmacy prescription.
abstract: The intake of multiple medications in patients with various medical conditions challenges the delivery of medical care. Initial empirical studies and pilot implementations seem to indicate that generic safe and effective multi-drug prescription principles could be defined and reused to reduce adverse drug events and to support compliance with medical guidelines and drug formularies. Given that ontologies are known to provide well-principled, sharable, setting-independent and machine-interpretable declarative specification frameworks for modeling and reasoning on biomedical problems, we explore here their use in the context of multi-drug prescription. We propose an ontology for modeling drug-related knowledge and a repository of safe and effective generic prescription principles. To test the usability and the level of granularity of the developed ontology-based specification models and heuristic we implemented a tool that computes the complexity of multi-drug treatments, and a decision aid to check the safeness and effectiveness of prescribed multi-drug treatments.
authors.affiliation: Division of Biomedical Informatics, University of California San Diego, La Jolla, California, USA.
authors.forename: Adela
authors.initials: A
authors.lastname: Grando
authors.forename: Susan
authors.initials: S
authors.lastname: Farrish
authors.forename: Cynthia
authors.initials: C
authors.lastname: Boyd
authors.forename: Aziz
authors.initials: A
authors.lastname: Boxwala
mesh_terms: D001185:Artificial Intelligence; D002908:Chronic Disease / Q000188:drug therapy*; D020000:Decision Support Systems, Clinical; D011307:Drug Prescriptions / Q000592:standards; D004360:Drug Therapy, Computer-Assisted; D005569:Formularies as Topic; D006801:Humans; D004364:Pharmaceutical Preparations / Q000145:classification*; D019338:Polypharmacy; D009626:Terminology as Topic
chemical_list: D004364:Pharmaceutical Preparations