title: Analysis and redesign of a knowledge database for a drug-drug interactions alert system.
abstract: Physicians tend to ignore drug-drug interactions alerts, this is due to the large amount of irrelevant interactions displayed and the interface in which these alerts are shown. The high rate of clinically inadequate alerts produce "alerts fatigue". This high number of incorrect alerts predisposes physicians to underestimate the electronic prescription systems as useful tools in their practice. We decided to analyze and redesign our drug-drug interactions alerting system knowledge database. In order to do so, we cleaned our knowledge database according to the clinical significance of drug-drug interactions. New drug interactions taxonomy was created in four levels based on clinical significance and the recommendations given in each single monograph of interaction. We proceeded to recategorize the alerts as Active, which present themselves to the physician interrupting the prescribing process, or Passive, which allow physicians to accept the recommendations, and adopt some action in order of minimizing the interaction risks.
authors.affiliation: Department of Medical Informatics, Hospital Italiano de Buenos Aires, Argentina. daniel.luna@hospitalitaliano.org.ar
authors.forename: Daniel
authors.initials: D
authors.lastname: Luna
authors.forename: Victoria
authors.initials: V
authors.lastname: Otero
authors.forename: Daniela
authors.initials: D
authors.lastname: Canosa
authors.forename: Sergio
authors.initials: S
authors.lastname: Montenegro
authors.forename: Paula
authors.initials: P
authors.lastname: Otero
authors.forename: Fernan Gonzalez Bernaldo
authors.initials: FG
authors.lastname: de Quirós
mesh_terms: D020000:Decision Support Systems, Clinical; D004347:Drug Interactions; D006801:Humans; D051188:Knowledge Bases; D050316:Medical Order Entry Systems; D016347:Medical Records Systems, Computerized; D008508:Medication Errors / Q000517:prevention & control; D017010:Reminder Systems