Computing and Information Systems - Research Publications
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ItemDevelopment of grid frameworks for clinical trials and epidemiological studies(IOS Press, 2006)E-Health initiatives such as electronic clinical trials and epidemiological studies require access to and usage of a range of both clinical and other data sets. Such data sets are typically only available over many heterogeneous domains where a plethora of often legacy based or in-house/bespoke IT solutions exist. Considerable efforts and investments are being made across the UK to upgrade the IT infrastructures across the National Health Service (NHS) such as the National Program for IT in the NHS (NPFIT) [1]. However, it is the case that currently independent and largely non-interoperable IT solutions exist across hospitals, trusts, disease registries and GP practices – this includes security as well as more general compute and data infrastructures. Grid technology allows issues of distribution and heterogeneity to be overcome, however the clinical trials domain places special demands on security and data which hitherto the Grid community have not satisfactorily addressed. These challenges are often common across many studies and trials hence the development of a re-usable framework for creation and subsequent management of such infrastructures is highly desirable. In this paper we present the challenges in developing such a framework and outline initial scenarios and prototypes developed within the MRC funded Virtual Organisations for Trials and Epidemiological Studies (VOTES) project [2].
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ItemInitial experiences in developing e-health solutions across Scotland(UK e-Science, 2006)
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ItemSecure, reliable and dynamic access to distributed clinical data( 2006)An abundance of statistical and scientific data exists in the area of clinical and epidemiological studies. Much of this data is distributed across regional, national and international boundaries with different policies on access and usage, and a multitude of different schemata for the data often complicated by the variety of supporting clinical coding schemes. This prevents the wide scale collation and analysis of such data as is often needed to infer clinical outcomes and to determine the often moderate effect of drugs. Through grid technologies it is possible to overcome the barriers introduced by distribution of heterogeneous data and services. However reliability, dynamicity and fine-grained security are essential in this domain, and are not typically offered by current grids. The MRC funded VOTES project (Virtual Organisations for Trials and Epidemiological Studies) has implemented a prototype infrastructure specifically designed to meet these challenges. This paper describes this on-going implementation effort and the lessons learned in building grid frameworks for and within a clinical environment.
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ItemUser oriented access to secure biomedical resources through the grid(Life Science Grid Conference, 2006)
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ItemTrust realisation in collaborative clinical trials systems(British Computer Society, 2007)
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ItemSupporting UK-wide e-clinical trials and studies(ACM, 2008-12-01)
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ItemSupporting the clinical trial recruitment process through the grid(NATL E-SCIENCE CENTRE, 2006)
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ItemSupporting grid-based clinical trials in Scotland(Sage, 2008)A computational infrastructure to underpin complex clinical trials and medical population studies is highly desirable. This should allow access to a range of distributed clinical data sets; support the effi cient processing and analysis of the data obtained; have security at its heart; and ensure that authorized individuals are able to see privileged data and no more. Each clinical trial has its own requirements on data sets and how they are used; hence a reusable and fl exible framework offers many advantages. The MRC funded Virtual Organisations for Trials and Epidemiological Studies (VOTES) is a collaborative project involving several UK universities specifi cally to explore this space. This article presents the experiences of developing the Scottish component of this nationwide infrastructure, by the National e-Science Centre (NeSC) based at the University of Glasgow, and the issues inherent in accessing and using the clinical data sets in a fl exible, dynamic and secure manner.