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The GIMI project web site

Applications

1. Long-term conditions

There is a drive towards self-management as a means of improving the health of patients with long-term conditions. Self-management needs to be supported by comprehensive IT systems for disease management, which integrates all of the relevant information. Initial research will focus on the development of robust algorithms for alerting healthcare professionals when the patient's data deviate from the expected pattern. The long-term conditions team is engaging in a telemedicine trial involving two GP surgeries from the local PCT - involving delivering blood-glucose summary data from a telemedicine handset to a GP's desktop.

2. Mammography auditing and training

The main is to develop a prototype training tool for screening mammography which could offer radiologists a unique educational experience based on:

intelligent selection of training activities,
a large number of richly annotated images (previous PERFORMS cases),
a dataset annotated with specific learning goals, and
RITI style e-learning materials.

3. Medical imaging in cancer care

The overall aim of this application area is to:

develop medical image algorithms for application to breast and colorectal cancer,
build on previous projects, notably eDiaMoND, Mammogrid, and the NCRI Informatics Initiative demonstrator on colorectal cancer, and to
provide a testbed and user feedback for prototypes as they are developed throughout the duration of the project.

GIMI is funded by the DTI Technology Programme.

In conjunction with Loughborough University, University College London, T+ Medical Disease Management Systems, Siemens Molecular Imaging, IBM and the National Cancer Research Institute.