Interoperability of heterogeneous sources of patient clinical data and multiple clinical practice guidelines formalisms to leverage computerized decision support

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.