This article examines the improvement of information and analytical systems in local healthcare to ensure good storage, processing, and analysis of medical data, leading to better decision-making. The theory of relational databases, fuzzy logic, and framework networks form the work’s methodological foundation. The creation of a new formal apparatus is made possible by the development of semantic models. A hierarchical structure for knowledge representation lowers computational resource consumption and increases the flexibility of the input data for inference. Unlike prior approaches, we provide a fuzzy inference method that makes it easier to locate starting points by using a database based on a hierarchical structure, which speeds up the final stage.