Search, Analysis and Visual Comparison of Massive and Heterogeneous Data

It is thanks to the continuous evolution of the hardware technology that enables information systems to store very large amounts of data, the latter that explode even more rapidly than the growth rate of computing power. This spectacular growth of data is at the origin of what is called the Big Data. As several fields are affected by digitization, the medical field has experienced in the past years, an important technological and digital revolution, which contributed to a large informational explosion of digital medical data. In addition to their massive quantity, these data are also characterized by the complexity, diversity and heterogeneity, and they are often contained in the so-called the Electronic Health Record (EHR). However, not having the right tools to explore the large amounts of data that have been collected because of their potential usefulness, the data becomes unnecessary and databases and their management systems become without advantage. In this context, we propose in this paper the Medical Multi-project ICOP system (M

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ICOP) which was an interactive system dedicated particularly to clinicians and researchers in the medical field to help them explore, visualize and analyze a set of medical data really large and heterogeneous. Practically, our system allows these users to visualize and interact with a large number of electronic health records, and the search of similar EHRs and the comparison between them to take advantage of best practices and shared experiences to improve the quality of treatment.