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Feasibility of Fuzzy Control Aggregation in Clinical Decision Support Using HL7 Arden Syntax
Moritz Grob1,2, Julia Liepold2,3, Leonhard Hauptfeld2
1Medical University of Vienna, Center for Medical Data Science, Institute of Artificial Intelligence, Spitalgasse 23, 1090 Vienna, Austria.
None:
Fuzzy control systems provide a robust framework for clinical decision support in settings characterized by uncertainty and overlapping variable states. Since Version 2.9, HL7 Arden Syntax has natively supported fuzzy logic constructs, enabling more accurate and expressive medical logic. This feasibility study explores fuzzy aggregation in Arden Syntax for clinical decision support. We implement a rule from FuzzyKBWean, a fuzzy control system supporting ventilator therapy decisions, recommending adjustment of FiO2 based on PaO2 and PaCO2 levels. It is executed using Medexter Healthcare's Arden Syntax compiler, demonstrating the practical utility of native fuzzy logic in Arden Syntax for real-time, interpretable clinical decision support. Observations during implementation led to a suggestion for further refinement of the standard regarding stricter data type enforcement in fuzzy operations, enhancing the robustness of Arden-Syntax-based systems.
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