LifeWatch Greece data-services: Discovering Biodiversity Data using Semantic Web Technologies.

Background: Biodiversity data is characterized by its cross-disciplinary character, the extremely broad range of data types and structures, and the variety of semantic concepts that it encompasses. Furthermore there is a plethora of different data sources providing resources for the same piece of information in a heterogeneous way. Even if we restrict our attention to Greek biodiversity domain, it is easy to see that biodiversity data remains unconnected and widely distributed among different sources.

Standardized data sharing in a paediatric oncology research network--a proof-of-concept study.

Data that has been collected in the course of clinical trials are potentially valuable for additional scientific research questions in so called secondary use scenarios. This is of particular importance in rare disease areas like paediatric oncology. If data from several research projects need to be connected, so called Core Datasets can be used to define which information needs to be extracted from every involved source system.

HL7 CDA in the national ePrescription efforts of Finland & Greece: a comparison.

This paper presents an overview and comparison of national efforts on ePrescribing in Finland and Greece focusing on aspects of interoperability and standards. Building on experience of HL7 affiliates in Finland and Greece, the role of HL7 Clinical Document Architecture (CDA) in assuring interoperability within the national and cross-border framework for ePrescription is addressed underlining current use of standards and interoperability challenges for large scale adoption.

DoctorEye: A clinically driven multifunctional platform, for accurate processing of tumors in medical images.

Unlabelled: This paper presents a novel, open access interactive platform for 3D medical image analysis, simulation and visualization, focusing in oncology images. The platform was developed through constant interaction and feedback from expert clinicians integrating a thorough analysis of their requirements while having an ultimate goal of assisting in accurately delineating tumors. It allows clinicians not only to work with a large number of 3D tomographic datasets but also to efficiently annotate multiple regions of interest in the same session.