The study is aimed towards the assessment and improvement of complex informational, healthcare, and medical processes existing in the distributed environment during monitoring and providing healthcare services to patients with chronic diseases. The study is performed within a framework of a project for development a complex unified medical information system capable to work on large scale (on population-level). The presented experimental studies show that predictive modelling enables unified detection of remote patients' state using self-measuring and distributed electronic health records. In addition, an experimental mobile application is presented as a tool for data collection and user-system interaction during chronic disease monitoring and treatment.
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