With the increased use of 5G wireless technology for communication in e-health systems, it also arises an imperative need to verify if the application requirements in terms of resource capacity, deadlines, etc. are met by the network, especially in cases of real-time critical use cases. A promising aid to address this need lies in frameworks that allow one to model and analyze such systems before they are implemented. In our previous work, we have proposed a UML profile called UML5G-Service Orchestration, backed by model checking, which allows one to verify formally the static and dynamic behavior of 5G communication using network slicing. In this paper, we extend its tool support, called G^5, which generates automatically UPPAAL timed automata models from profile-based object diagrams, to enable automatic verification of service orchestration, including fault-tolerance aspects with respect to crashed hosts or links. We chose an industrial case study of two different e-health applications that use 5G network slicing, for an evaluation of the approach, which lets us identify the factors that impact its scalability.