Aims & Objectives

It is widely anticipated that future health information systems will need to move from “institution-based” models to those that rely on “near real time” data integration close to the patient. Interventions that use ethical risk stratification as part of a personal data integration framework is a priority in diabetes, where the number of affected individuals is predicted to rise from c.135 million people in 1995 to c.300 million in 2025.

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Healthcare@Home concept

The Healthcare@Home project aims to integrate invasive and non-invasive patient monitoring systems with analysis of this information via Grid infrastructure. The infrastructure will promote continuous and discontinuous (push/pull) monitoring of patients at home, employing a new class of dedicated home healthcare server relaying data from and to prototype Bluetooth sensor/comms devices from specialist companies in these fields. Such secure, integrated home monitoring systems will provide consumers (patients) with a much higher quality of feedback and thus insight into their health conditions. Supplemented by inputs from multi-enterprise specialist equipment and databases such as those supporting clinical metabolic analysers, digital retinopathy cameras and body scanners, sophisticated trend analysis from a variety of demographic and clinical data sources will be undertaken for an exemplar disease parameter model (DPM) for diabetes using internationally-harmonized clinical standards. The creation of a quantitative individualized risk analysis application (QUIRA) enables prioritization of need in focused clinical areas, scaleable to national service levels.