50 research outputs found
Data integration in eHealth: a domain/disease specific roadmap
The paper documents a series of data integration workshops held in 2006 at the UK National e-Science Centre, summarizing a range of the problem/solution scenarios in multi-site and multi-scale data integration with six HealthGrid projects using schizophrenia as a domain-specific test case. It outlines emerging strategies, recommendations and objectives for collaboration on shared ontology-building and harmonization of data for multi-site trials in this domain
Proposing a roadmap for HealthGrids
Présentation commune des éditeur
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Grid-based semantic integration of heterogeneous data resources: Implementation on a HealthGrid
This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel University.The semantic integration of geographically distributed and heterogeneous data
resources still remains a key challenge in Grid infrastructures. Today's
mainstream Grid technologies hold the promise to meet this challenge in a
systematic manner, making data applications more scalable and manageable. The
thesis conducts a thorough investigation of the problem, the state of the art, and
the related technologies, and proposes an Architecture for Semantic Integration of
Data Sources (ASIDS) addressing the semantic heterogeneity issue. It defines a
simple mechanism for the interoperability of heterogeneous data sources in order
to extract or discover information regardless of their different semantics. The
constituent technologies of this architecture include Globus Toolkit (GT4) and
OGSA-DAI (Open Grid Service Architecture Data Integration and Access)
alongside other web services technologies such as XML (Extensive Markup
Language). To show this, the ASIDS architecture was implemented and tested in a
realistic setting by building an exemplar application prototype on a HealthGrid
(pilot implementation).
The study followed an empirical research methodology and was informed by
extensive literature surveys and a critical analysis of the relevant technologies and
their synergies. The two literature reviews, together with the analysis of the
technology background, have provided a good overview of the current Grid and
HealthGrid landscape, produced some valuable taxonomies, explored new paths
by integrating technologies, and more importantly illuminated the problem and
guided the research process towards a promising solution. Yet the primary
contribution of this research is an approach that uses contemporary Grid
technologies for integrating heterogeneous data resources that have semantically
different. data fields (attributes). It has been practically demonstrated (using a
prototype HealthGrid) that discovery in semantically integrated distributed data
sources can be feasible by using mainstream Grid technologies, which have been
shown to have some Significant advantages over non-Grid based approaches
Experiences of Engineering Grid-Based Medical Software
Objectives: Grid-based technologies are emerging as potential solutions for
managing and collaborating distributed resources in the biomedical domain. Few
examples exist, however, of successful implementations of Grid-enabled medical
systems and even fewer have been deployed for evaluation in practice. The
objective of this paper is to evaluate the use in clinical practice of a
Grid-based imaging prototype and to establish directions for engineering future
medical Grid developments and their subsequent deployment. Method: The
MammoGrid project has deployed a prototype system for clinicians using the Grid
as its information infrastructure. To assist in the specification of the system
requirements (and for the first time in healthgrid applications), use-case
modelling has been carried out in close collaboration with clinicians and
radiologists who had no prior experience of this modelling technique. A
critical qualitative and, where possible, quantitative analysis of the
MammoGrid prototype is presented leading to a set of recommendations from the
delivery of the first deployed Grid-based medical imaging application. Results:
We report critically on the application of software engineering techniques in
the specification and implementation of the MammoGrid project and show that
use-case modelling is a suitable vehicle for representing medical requirements
and for communicating effectively with the clinical community. This paper also
discusses the practical advantages and limitations of applying the Grid to
real-life clinical applications and presents the consequent lessons learned.Comment: 18 pages, 2 tables, 5 figures. In press International Journal of
Medical Informatics. Elsevier publisher