Indian Journal of Medical Informatics
نویسندگان
چکیده
Objectives: To develop and bring into practice a scalable genuine technology platform for clinical decision support (CDS). Methods: Arden Syntax is a widely recognized formal language for representing clinical and scientific knowledge in an executable format, maintained by Health Level Seven (HL7) International and approved by the American National Standards Institute (ANSI). Fuzzy set theory and logic permit the representation of knowledge and automated reasoning under linguistic and propositional uncertainty. These forms of uncertainty are a common feature of patients’ medical data, the body of medical knowledge, deductive clinical reasoning, as well as practice and patient safety guidelines, health care quality, benchmarking, and reporting systems. Results: A scalable production-ready software environment for authoring, testing, compiling, and processing clinical knowledge—defined by and written in Arden Syntax—was developed and implemented. Various forms of technical connection with, or integration into, external health information technology (IT) systems were added. This software is now in use at several production sites. Using the ANSI-audited, consensus-based standards development process of HL7, we created a new version of the Arden Syntax— version 2.9 (known as Fuzzy Arden Syntax)—to fully incorporate fuzzy methodologies. Conclusion: By introducing service-oriented solutions for integrating and interconnecting Fuzzy-ArdenSyntax-based rule engine software into health IT systems, we put highly accepted scalable clinical decision support systems into practice.
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