A real time multiagent information systems architecture for actively monitoring chronic diseases
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In e-health, data warehouse systems have become an important strategy to integrate heterogeneous data sources. Data warehouse technologies are required for telecare, drug interaction for patients with multiple symptoms, electronic prescriptions and emergency datasets, in which a massive monitoring of the processes in real-time enables proactive response to exceptional and time-sensitive critical situations. However, current data warehousing and business intelligence technologies do not directly address time sensitive monitoring, real time data processing and the adaptation of data to analytical requirements. Typically, a data warehouse (DW) is designed and built on the basis of historical information. In this paper a new information system design is described for a real time adaptive data warehouse architecture that covers the process of predicting and responding to e-health requirements in order to decrease the time of reaction and enable active responses from e-health actors and operative systems.
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