Multi-layer Data Model Doctoral Thesis

With rapid development of IT and mobile technologies and their use in the medical field, it is necessary to guarantee the communication and representation of data in a much clearer form than ever before. Today, there are a number of standards that define syntactic form and structure of communication and representation as well as a number of classifications and dictionaries in a hierarchical arrangement, or even as an ontology, defining the content of a wide range of data communication and information exchange. In many aspects, these approaches allow semantic representation of data, however in the domain of signals and their integration with other data such representation is not yet resolved. In this thesis we present a proposed solution to representation of the signal on a higher level with the definitions of signal integration with other data from the medical record. We have created an ontology and architecture of multi-layer data model that allows the definition of complex signal, with indication of characteristic (important) points and complexes and with link to clinical events and background knowledge base. The proposed model has been applied to and verified in clinical practice in obstetrics, and in medical experimental area.