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Technologies that enable connectivity, interoperability and automation have the potential to increase the quality and efficiency of patient care. In this dissertation, the necessary adaptations to the software and E/E architectures of medical devices are examined using the example of operating tables. In addition, a special focus is placed on anomaly detection, for which a novel approach is presented that uses hybrid plausibility checks that combine data- and model-based algorithms.