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What prevents the National Health Care Terminology based on SNOMED CT from being implemented in the EHR systems and ongoing EHR implementations in Denmark? SNOMED CT was translated into Danish language from 2006-2009 and by 2013 it is not yet implemented in a clinical information system. Fourteen key persons broadly representing all major stakeholders in the process of system configuration accepted an invitation to discuss questions about what kind of challenges they experience in handling terminology in clinical information systems today and what they expect from a future implementation of a SNOMED CT based national terminology. Three types of challenges of terminology implementations resulted from two parallel focus group interviews: 1. Methods to manage terminology-implementation like preventing inconsistency and redundant representations of identical information. 2. The existing terminology and classifications used are sufficient to accommodate the required governance and 3. SNOMED CT is expected to be immature for system-implementation. These results suggest further research in methods to facilitate implementation of a complex terminology and studies that evaluate SNOMED CT in clinical use; but the results also support national and regional decision makers regarding what kind of challenges they must manage. [ABSTRACT FROM AUTHOR]

Implantable cardioverter defibrillators can generate numerous alerts. Automatically classifying these alerts according to their severity hinges on the CHA2DS2VASc score. It requires some reasoning capabilities for interpreting the patient's data. We compared two approaches for implementing the reasoning module. One is based on the Drools engine, and the other is based on semantic web formalisms. Both were valid approaches with correct performances. For a broader domain, their limitations are the number and complexity of Drools rules and the performances of ontology-based reasoning, which suggests using the ontology for automatically generating a part of the Drools rules. [ABSTRACT FROM AUTHOR]

Incorrect or improper diagnostic tests uses have important implications for health outcomes and costs. Clinical Decision Support Systems purports to optimize the use of diagnostic tests in clinical practice. The computerized medical reasoning should not only focus on existing medical knowledge but also on physician's previous experiences and new knowledge. Such medical knowledge is vague and defines uncertain relationships between facts and diagnosis, in this paper, Case Based Fuzzy Cognitive Maps (CBFCM) are proposed as an evolution of Fuzzy Cognitive Maps. They allow more complete representation of knowledge since case-based fuzzy rules are introduced to improve diagnosis decision. We have developed a framework for interacting with patient's data and formalizing knowledge from Guidelines in the domain of Urinary Tract Infection. The conducted study allowed us to test cognitive approaches for implementing Guidelines with Semantic Web tools. The advantage of this approach is to enable the sharing and reuse of knowledge from Guidelines, physicians experiences and simplify maintenance. [ABSTRACT FROM AUTHOR]

Research data management (RDM) is an important topic for biomedical research due to the issue of 'bit rot'. RDM aims to implement access to reliable digital data for local and distributed research groups. A key aspect for the understanding of data is the use of metadata. This understanding has been investigated on the basis of two use cases of the DFG project LABIMI/F: RDM for genome data and biomedical image data. The results show that metadata can improve research not only for others but also for the researcher himself. However, RDM is still far from integrating all biomedical data. In addition, RDM is not (yet) a valid approach for clinical trial data management. [ABSTRACT FROM AUTHOR]

Curricular recommendations coming from highly respectable associations are highly useful. Nevertheless, they show fatigue in keeping the pace of any fast evolution, as in the ICT happens. So we do the attempt to disclose the emerging challenges affecting e-Health curricular education. [ABSTRACT FROM AUTHOR]

The paper addresses the complex interplay between patients, healthcare professionals, and technology in relation to the treatment of chronic patients. It reflects on an ongoing interdisciplinary action research project striving to design and implement IT support for communication and collaboration in the distributed heterogeneous network of chronic patients and the healthcare professionals that take care of them. An interactive personal health record (PHR) has been designed as part of the project. As such it is part of a trend to find ways to include patients in their own care process. This has been motivated by expected health benefits for the patients as well as promises to lead to reduced costs for a burdened healthcare system. [ABSTRACT FROM AUTHOR]