The New England Journal of Medicine 329 (1993) 977- The present paper describes two systems for communication, education, and decision support in patient-centred diabetes care. Both systems are developed under the assumption that while the clinical resources in the health care sector are limited, patients' resources and new information technology may be able to play a much more central role. With DiasNet patients can experiment with their own data. They can, retrospectively, adjust insulin doses or meals sizes, and thereby learn how to cope with various situations. DiabVision, brings together algorithms for detection of retinal lesions in digital images and for aligning time series of retinal images. While the former algorithms are aimed at automated procedures for screening for diabetic retinopathy, the latter can be used to enable motivated patients to see the actual retinal lesions in their own eyes, illustrating how the changes appear, and perhaps disappear, as a consequence of changes in lifestyle and glycaemic control. One of the long-term goals of our work is to assess the potential of integrating all health related information for patients with diabetes and other major chronic diseases. One solution to these problems would be to organise data and information as one virtual database, which then could be accessed by both health professionals and by patients. This structure would facilitate easy access, a clear overview, and quality control. A web site taking the first step in this process has been launched.