Architectural and Algorithmic Model for Intelligent Clinical Decision Support System

One of the directions of development of information technologies is the development and application of information medical systems, and their integration into a single information space. To solve these problems, it is necessary to develop decision support systems that contribute to improving the efficiency of medical and diagnostic business processes, which should find their place in existing integrated systems. The paper describes architectures review of the existing clinical decision support systems and conceptual model of clinical decision support system. This research proposes the development of architectural model for an intelligent system for supporting clinical decision made on the example of diagnosing blood diseases, that are based on the integration of three architectural templates: object-oriented, three-tier and componential architectural model. The proposed technology for decision support in the diagnosis of blood diseases is described in the form of a conceptual model; knowledge base; user interface; logical inference procedure, mechanism for explaining the decision; module knowledge acquisition. Designed fuzzy production knowledge base based on the general structure of the set of fuzzy production rules, algorithm of search and exclusion of contradictions in the knowledge base.