The timely diagnosis and treatment of pressure ulcers is a critical task and constitutes a challenge in patient rehabilitation. In this work we investigate how a tool for automated pressure ulcer stage classification can be integrated into an asynchronous telemedicine system aiming to increase efficiency and monitoring capabilities for large volumes of patient data. The deployment requirements, the internal architecture as well as the employed techniques are outlined. Furthermore, the initial processing results are provided to demonstrate the feasibility of automated classification of pressure ulcer regions in various grades.