The COVID-19 pandemic has accelerated the development of telepresence communication systems, especially for healthcare applications. This study investigates the use of Wi-Fi-based teleconferencing systems for nursing robots, enabling remote interaction between healthcare providers and patients in contagious environments. The system leverages Raspberry Pi as the control platform, with integrated video, audio, and two-way communication capabilities. The research focuses on evaluating key performance metrics such as latency, bandwidth usage, video resolution, and Wi-Fi stability under varying conditions, including different distances and environments. Experimental results show that latency increases with distance, bandwidth consumption rises with video resolution, and signal quality is significantly affected by physical barriers, such as walls. These findings underscore the importance of optimizing Wi-Fi placement and selecting appropriate video resolutions to ensure high-quality, stable telepresence communication. The insights gained provide a foundation for developing reliable nursing robot systems in healthcare settings.