Secure access to patient data and analysis tools to run on that data will revolutionize the
treatment of a wide range of diseases, by using advanced simulation techniques to underpin …

The increasing volume of data describing human disease processes and the growing
complexity of understanding, managing, and sharing such data presents a huge challenge …

With ever increasing amounts of travel, it is essential to have access to a patient's medical
data from different sources including many jurisdictions. The Serums project addresses this …

Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on
the German Medical Informatics Initiative. Future medicine will be predictive, preventive …

The MIDAS consortium is a partnership involving health authorities, and technical big data
experts from universities, research institutions, MNCs and SMEs across six EU countries (UK …

Objectives: The GEMSS project is developing a secure Grid infrastructure through which six
medical simulations services can be invoked. We examine the legal and security framework …

Future-generation healthcare systems will be highly distributed, combining centralised
hospital systems with decentralised home-, work-and environment-based monitoring and …

Background: Increasingly, decision-making in healthcare relies on computer models, be it
clinical prediction models at point of care or decision-analytic models at the policymaking …

Abstract Systems medicine holds many promises, but has so far provided only a limited
number of proofs of principle. To address this road block, possible barriers and challenges …

There is a recognised move towards more personalised health with citizens at the centre of
healthcare provision. In particular, there is an emphasis on the right of citizens to decide …