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.

Designing for e-Health: recurring scenarios in developing grid-based medical imaging systems.

The paper draws on a number of Grid projects, particularly on the experience of NeuroGrid, a UK project in the Neurosciences tasked with developing a Grid-based collaborative research environment to support the sharing of digital images and patient data across multiple distributed sites. It outlines recurrent socio-technical issues, highlighting the challenges of scaling up technological networks in advance of the regulatory networks which normally regulate their use in practice.

Clinical decision support software for management of chronic heart failure: development and evaluation.

Objective: To develop and evaluate clinical decision support software (CDSS) to aid physicians treat patients with chronic heart failure (CHF).

Methods: The CDSS was developed after discussions with a multidisciplinary panel. Evaluation was performed in three stages over a 6 month period including an editorial check, one-to-one interviews with potential users and educational meetings with general practitioners (GPs), junior doctors and medical students during which the CDSS was assessed in a cross-over design against paper guidelines.

Working IT out in e-Science: experiences of requirements capture in a HealthGrid project.

This paper reports on our experiences of being involved in requirements capture for a HealthGrid project. Large scale, collaborative projects with multiple partners tend to experience numerous problems in the requirements capture phase (and often beyond) and HealthGrid projects are no exception. Projects with highly innovative objectives often have additional sets of problematics, however.