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Empowering data sources to manage clinical data

Sources of health information are widely distributed and involve many different processes and interactions. They may contain individual patient information collected and stored by a person or a combination of many sets of individual information collected by more than one entity. Moreover, patient data is not stored in only one central instance; it can be stored in databases which differ in size and structure, and it may also travel from sensors to mobile devices to servers. The process to access patient data requires that all the services and objects are connected to make data from the different healthcare providers available. In this paper we propose the design of a distributed multi agent architecture to monitor patients with heart disease. By empowering the data sources it is possible to manage and process patient data in order to react in time to individual health risk scenarios.