Abstract

The problem of consistency of medical data in Hospital Data Management Systems is considered in the context of correctness of medical images itself to minimize possible harm from spurious DICOM files. The approach should be considered as an addition to other securing techniques like watermarking, encrypting, testing conformance with the standard. To achieve amenable accuracy in practice two aspects are taken into account: correctness of periodicity and correctness of image data (time series) itself for considered modality. This paper proposes an architecture of an information system and network filter integrated to it to provide facilities for analysis and alert management. The architecture is designed to perform the analysis of incoming data streams within components working in a clustered manner, providing horizontal scalability and fault tolerance to be BigData-ready.

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