Detecting, Monitoring, and Reporting Possible Adverse Drug Events Using an Arden-Syntax-based Rule Engine.
The detection of adverse drug events (ADEs) is an important aspect of improving patient safety. The iMedication system employs predefined triggers associated with significant events in a patient's clinical data to automatically detect possible ADEs. We defined four clinically relevant conditions: hyperkalemia, hyponatremia, renal failure, and over-anticoagulation. These are some of the most relevant ADEs in internal medical and geriatric wards. For each patient, ADE risk scores for all four situations are calculated, compared against a threshold, and judged to be monitored, or reported. A ward-based cockpit view summarizes the results.
Medexter Healthcare GmbH, Vienna, Austria.
Karsten
K
Fehre
Salzburg Research Forschungsgesellschaft mbH, Salzburg, Austria.
Manuela
M
Plössnig
Paracelsus Medical University Salzburg - Private Foundation, Salzburg, Austria.
Jochen
J
Schuler
Landesapotheke am St. Johanns-Spital, Salzburg, Austria.
Christina
C
Hofer-Dückelmann
Section for Medical Expert and Knowledge-Based Systems, CeMSIIS, Medical University of Vienna, Vienna, Austria.
Andrea
A
Rappelsberger
Medexter Healthcare GmbH, Vienna, Austria.
Klaus-Peter
KP
Adlassnig
D001778:Blood Coagulation Disorders / Q000139:chemically induced / Q000175:diagnosis / Q000453:epidemiology / Q000517:prevention & control; D020000:Decision Support Systems, Clinical; D064420:Drug-Related Side Effects and Adverse Reactions / Q000175:diagnosis* / Q000453:epidemiology; D006801:Humans; D006947:Hyperkalemia / Q000139:chemically induced / Q000175:diagnosis / Q000453:epidemiology / Q000517:prevention & control; D007010:Hyponatremia / Q000139:chemically induced / Q000175:diagnosis / Q000453:epidemiology / Q000517:prevention & control; D050316:Medical Order Entry Systems; D051437:Renal Insufficiency / Q000139:chemically induced / Q000175:diagnosis / Q000453:epidemiology / Q000517:prevention & control; D012984:Software