ONTOLOGY AS A MEANS OF PRESENTATION OF MEDICAL INFORMATION

Abstract

Today information and communication technologies (ICTs) play a crucial role in many, if not all, areas of human activity, radically affecting users, their work and the work environment. Modern ICT provides the collection and processing of information, data storage, accumulation and generation of knowledge, organization and acceleration of communication. To implement a variety of services, information systems are being developed, the services of which are closely related to the design of user activities in a social context. Therefore, an important component of the context in which the information service is built-in is the so-called subject area (domain). Having an accurate representation of the conceptualization of the subject area becomes even more important when there is a need to integrate different independently developed information systems (or models on which these systems are based). The ability of systems to interact (ie work together) while having compatible semantics of the real world is known as semantic compatibility. The article considers the medical ontological information systems that can be used to present semantic data. Problems of processing, presentation, use and integration of large volumes of medical data are considered. An analysis of various ontologies in the field of health care, which facilitate the reuse and exchange of medical knowledge. The issues of the electronic medical records and personal medical records as an important component in the quality of medical services are addressed. It also reveals the terminology of biomedical ontology, provides a comprehensive description of the benefits of this system, as well as details the ways of semantic interoperability in the field of health care. Interoperability is ensured by indexing the results of the integration of transdisciplinary semantically related contexts of distributed heterogeneous information resources (Big Data). The examples of the use of ontology in the systemic biomedicine are given, as well as the peculiarities of the obtaining implicitly given data.