Abstract:
The main subject of the thesis is the improvement of clinical decision support
systems (CDSS) by developing patient data and medical rules acquisition
methods. The ultimate goal is to increase the level of interoperability of
clinical decision support systems.
Main research objectives:
• Developing of clinical decision support (CDS) architecture that allows
the integration of multiple data sources types based on HL7
standards.
• Developing and describing methods for the generation of new
medical rules with the help of the data mining and their translation in
Arden Syntax formalism in order to increase the medical rules base
and CDSS interoperability.
• Increasing CDSS interoperability by acquisition of medical rules in a
format accepted as standard from different nonstandard formalisms.
• Validation of the proposed solutions.
