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. The implemented prototype was tested on a sample of patients in a cardiological study and performs an information extraction from a high-dimensional set containing both clinical and gene expression data.

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. The e3-health concept is considered as a tool for judging e-health applications in different healthcare settings.

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. in Prague and the Outpatients Department of Cardiology of Municipal Hospital in Caslav. Our setting consists of four independent systems maintaining different clinical data (scheduling system, hospital information system, EHR system and a digital ECG). The aim is to avoid repetitive patient demographic data entry. We evaluate the suitability of IHE Patient Administration Management Profile (including HL7 v.2.5) and Czech national standard DASTA using Standard Evaluation Framework proposed and published in 2008 by J. Mykkänen et al. Besides the evaluation of standards, we also discuss some aspects of the framework.

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. We present the so-called LIM filler module and the HL7 broker, which are parts of the SIP, playing the role of such conversion tools. The analysis of suitability and usability of individual terminological thesauri has been started by mapping of clinical contents of the Minimal Data Model for Cardiology (MDMC) to various terminological classification systems. A national-wide implementation of the SIP would include adopting and translating international coding systems and nomenclatures, and developing implementation guidelines facilitating the migration from national standards to international ones. Our research showed that creation of such a platform is feasible; however, it will require a huge effort to adapt fully the Czech healthcare system to the European environment.