The creation of clinical decision support systems has received a strong impulse over the last years,but their integration into a clinical routine has lagged behind,partly due to a lack of interoperability and trust by physicians.We report on the implementation of a clinical foundation framework in Arden Syntax,comprising knowledge units for(a)preprocessing raw clinical data,(b)the determination of single clinical concepts,and(c)more complex medical knowledge,which can be modeled through the composition and configuration of knowledge units in this framework.Thus,it can be tailored to clinical institutions or patients caregivers.In the present version,we integrated knowledge units for several infectionrelated clinical concepts into the framework and developed a clinical event monitoring system over the framework that employs three different scenarios for monitoring clinical signs of bloodstream infection.The clinical event monitoring system was tested using data from intensive care units at Vienna General Hospital,Austria.
Expert Systems Knowledge Bases Infection Control
Jeroen S.de Bruin Julia Zeckl Katharina Adlassnig Alexander Blacky Walter Koller Andrea Rappelsberger Klaus-Peter Adlassnig
Medexter Healthcare GmbH,Borschkegasse 7/5,A-1090 Vienna,Austria;Section for Artificial Intelligence Medexter Healthcare GmbH,Borschkegasse 7/5,A-1090 Vienna,Austria;University of Applied Sciences Tech Medexter Healthcare GmbH,Borschkegasse 7/5,A-1090 Vienna,Austria VAMED-KMB Hospital Management and Operation GmbH,Spitalgasse 23,A-1090 Vienna,Austria University Clinic for Hospital Hygiene and Infection Control,Medical University of Vienna and Vienna Section for Artificial Intelligence and Decision Support,Center for Medical Statistics,Informatics,a