Technologies that enable connectivity, interoperability, and automation have the potential to improve the quality and efficiency of patient care. Nevertheless, they are being adopted only slowly in medical technology. 

This dissertation therefore examines, using operating tables as an example, the necessary adaptations to the software and E/E architectures of medical devices in the operating room in order to achieve these targets without compromising safety. 

To this end, a hybrid architecture with signal-based and service-oriented communication is presented, which meets the flexibility requirements for modular and interoperable systems and also accommodates legacy modules. 

Furthermore, there is a particular focus on anomaly detection, for example, during the movement of the operating table by monitoring its positions; for this purpose, a novel approach was presented that employs hybrid plausibility checks combining data- and model-based algorithms for anomaly detection.