Titlebook: Concepts and Trends in Healthcare Information Systems; Dionysios-Dimitrios Koutsouris,Athina A. Lazakidou Book 2014 Springer International

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https://doi.org/10.1007/978-1-4612-2032-9nal and systemic forces and flows cannot be evaluated across the domains of interest and in reasonable time but they can be considered in computational models. High speed computer resources can solve complex coupled equations that cover an almost infinite range of perturbations and combinations of c

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https://doi.org/10.1007/978-1-4612-2032-9ell-developed method and therefore a wide variety of tools are already existing. Based on this and in order to support this technique, various types of micro-robots have been developed, that are building upon the NOTES concept and are supporting like their conventional counterparts endoscopic operat

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Concepts and Trends in Healthcare Information Systems

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Exploiting Ontology Based Search and EHR Interoperability to Facilitate Clinical Trial Design,ectively guide clinical trials protocol design, by linking data with drug, target and disease knowledge databases, clinical care and clinical research information systems, and guiding the users automatically though the whole pipeline of the clinical trial protocol design.

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Ontology-Driven Authorization Policies on Personal Health Records for Sustainable Citizen-Centered a sources for use by PHR services is challenging, pointing to the need for establishing a data sharing policy based on an interoperability platform, to resolve the heterogeneity among the data sources, new security challenges are induced due to the facts that citizens are the owners of their medical

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Privacy-Preserving Access Control for PHR-Based Emergency Medical Systems, being rendered ubiquitously accessible. As momentum continues to build for the use of PHRs, some significant attention remains justifiably focused on addressing security concerns, such as privacy of sensitive personal health information. Hence, for PHR systems to achieve user consent, trust in and

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Computational Modeling and Simulations in Life Sciences, disease-specific databases that combine patients’ medical history with laboratory and clinical data as well as saving relevant tissue samples. In this chapter, the author aims at equipping the readers with a perspective on current and future applications of mathematical modeling in medicine.