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During 2001-2002 a prototype, IMIS (Integrated Mobile Information System) was developed at BTH (Blekinge University of Technology) to demonstrate how mobile IT-systems can be used in healthcare. The prototype was based on the activity theory of Engeström. An ongoing project started in spring 2003. The purpose of the project is further development of IMIS with special focus in the diabetes healthcare. Participants in the project are scientists and students at BTH, ALMI Företagspartner, Blekinge FoU-enhet, Barndiabetesförbundet Blekinge, Blekinge Diabetesförening, Vårdcentralen Ronneby and Vårdcentralen Sölvesborg. The goal of IMIS is to develop a secure communication platform, which follows requirements from caretaker and caregiver as well as the Swedish laws regulating digital information and healthcare. The output of this master thesis is a requirement specification of information security for healthcare where IMIS has been used as a case study. The requirements specification follows the international standard SS-ISO/IEC 17799.

This thesis proposes intelligent decision support System in diabetes eHealth care in order to improve the quality of life of Diabetes patients. Diabetes is one of the chronic diseases that can cause the serious health complication. Patients of diabetes especially elder people need more care than others as well as regularity in medicine. Only patients themselves or doctors cannot provide the care that patient needs. To improve the quality of daily life of patient a team of care providers work together. This thesis covers the different fields of intelligent decision support system for the diabetes type2 patients. The proposed intelligent decision support system is 24-hours accessible for the patients and care providers. The system stores the patients’ information and gives them optimal advices according to their condition entered by them. It also provides adequate and detail information about the patient to the health-care providers that help them to take an optimal decision about the patients. If system analyzes any alarming condition of the patient, it generates automatic alarming message for the health-care providers to help the patients. We validate our study by conducting interviews with diabetes health-care providers and perform questionnaires filled from diabetes type2 patients.

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