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.

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. Opinions of the CDSS and the computer literacy of the participants were assessed by questionnaire. RESULTS: There were several changes to the CDSS at various stages of development and evaluation. One-to-one interviews generated extensive qualitative feedback. GPs had lower computer literacy scores than junior doctors and students (both p<0.01). There were small trends when comparing the CDSS with paper guidelines. GPs scored less well (CDSS 75% vs. 80%, p=0.41), while junior doctors and medical students appeared to improve their scores (72%-84%, p=0.32 and 66%-77%, p=0.19, respectively). Most (70%) found the CDSS more useful than the written guidelines. CONCLUSION: Development of CDSS using guidelines and expert opinion requires a multidisciplinary iterative process of feedback and software adaptation. Barriers to implementation identified include lower computer literacy among GPs, a lack of complexity within CDSS in addressing non-medical needs of patients and a reluctance among medical staff to consult guidelines during patient consultations. Improving computer skills, integrating CDSS into referral pathways and requests for investigations may be ways of enhancing use of this emerging technology.

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.

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. In carving out new visions of, for example, clinical research and healthcare service delivery, HealthGrid projects have to reckon with--and work within--existing healthcare policy, legislative frameworks, professional cultures and organisational politics as well as the more common integration problem of dealing with legacy systems. Such factors are not conducive to the achievement in healthcare of the e-Science vision of seamless integration of information and collaborative working across administrative, professional and organisational boundaries. In this paper, we document some of the challenges we encountered in investigating the requirements for eDiaMoND, a flagship pilot UK e-Science project. We discuss what we might learn from these challenges, especially approaches to requirements capture that are appropriate for projects with innovative aims and are also sensitive to representing and addressing what may be complex professional and organisational interests.