System for selecting relevant information for decision support.

We implemented a prototype of a decision support system called SIR which has a form of a web-based classification service for diagnostic decision support. The system has the ability to select the most relevant variables and to learn a classification rule, which is guaranteed to be suitable also for high-dimensional measurements. The classification system can be useful for clinicians in primary care to support their decision-making tasks with relevant information extracted from any available clinical study.

Health data collecting and sharing: case studies of Czech e-health applications.

The paper shows the importance of e-health applications for electronic healthcare development. It describes several e-health applications for health data collecting and sharing that are running in the Czech Republic. These are IZIP system, electronic health record MUDR and K4CARE project applications.

Evaluation of possibilities in demographic data exchange support in Czech healthcare.

This paper summarizes the evaluation of two standardized approaches to implementation of messages for demographic data exchange between the preventive cardiology outpatient department located at the Institute of Computer Science AS CR, v.v.i.

Challenges of interoperability using HL7 v3 in Czech healthcare.

The paper describes several classification systems that could improve patient safety through semantic interoperability among contemporary electronic health record systems (EHR-Ss) with support of the HL7 v3 standard. We describe a proposal and a pilot implementation of a semantic interoperability platform (SIP) interconnecting current EHR-Ss by using HL7 v3 messages and concepts mappings on most widely used classification systems. The increasing number of classification systems and nomenclatures requires designing of various conversion tools for transfer between main classification systems.