Ontological knowledge representation framework for rehabilitation of traumatology and orthopedic patients

Systematic structuring of clinical data provides a comprehensive foundation for assessing the degree of functional impairment, activity level, and patient engagement in the rehabilitation process for traumatology and orthopedic cases. To standardize the representation of medical knowledge and establish a unified semantic environment for all participants in rehabilitation, an ontology-oriented approach to information system development has been adopted. The paper presents a set of interconnected, logically consistent ontological models that form the semantic core of an intelligent decision support system for medical rehabilitation. Models of medical diagnostics, rehabilitation procedure planning, and patient progress evaluation have been developed. The practical implementation of the proposed ontological framework is based on the IACPaaS cloud platform. The specialized resources and software tools derived from these ontological models constitute the foundation of a trauma surgeon’s decision support system.