In times of steadily increasing numbers of administered drugs,the detection of adverse drug events(ADEs)is an important aspect of improving patient safety.At present only about 1-13%of detected ADEs are reported.Raising the number of reported ADEs will result in greater and more efficient support of pharmacovigilance.Potential ADEs must be identified early.In the iMedication system,which is a rule-based application,triggers are used for computerized detection of possibleADEs.Creating a pilot system,we defined the relevant use cases hyperkalemia,hyponatremia,renal failure,and overanticoagulation; knowledge bases were implemented in Arden Syntax for each use case.The objective of these knowledge bases is to interpret patient-specific clinical data and generate notifications based on a calculated ADE risk score,which may indicate possible ADEs.This will permit appropriate monitoring of potential ADE situations over time in the interest of patient care,quality assurance,and pharmacovigilance.
Drug-Related Side Effects and Adverse Reactions Drug Monitoring Expert Systems
Andrea Rappelsberger Klaus-Peter Adlassnig Jeroen S.de Bruin Manuela Pl(o)ssnig Jochen Schuler Christina Hofer-Dückelmann
Section for Artificial Intelligence and Decision Support,Center for Medical Statistics,Informatics,a Section for Artificial Intelligence and Decision Support,Center for Medical Statistics,Informatics,a Salzburg Research Forschungsgesellschaft mbH,Jakob Haringer Strasse 5/3,A-5020 Salzburg,Austria Paracelsus Medical Private University Salzburg,Institute of General Practice,Family Medicine and Pre Landesapotheke am St.Johanns-Spital Salzburg,Müllner Hauptstrasse 50,A-5020 Salzburg,Austria