People put forward a higher service demand for traditional ward care in the process of intelligent technology reforming various traditional industries. According to the field investigation of traditional wards, the self-care ability of patients should be improved in daily ward life and the real-time monitoring of their living conditions by medical staff as well as families is waiting to be strengthened. To this end, this study proposes a smart ward control system integrating speech and ElectroEncephaloGraphy (EEG) and combined with the Internet of Things (IoT), thereby realizing the control of infrastructures such as ward appliances and real-time monitoring of cloud wards. Furthermore, the EEG-based control method based on eye blinks can meet the higher requirement for a patient’s physical conditions. According to the two experiments involving 10 subjects, speech recognition achieved an accuracy of 98%, and the accuracy of EEG-based blink recognition for healthy people and patients is 94.3% and 82.9%. The results show that the system can operate stably in complex environments such as wards, providing patients with a more intelligent and comfortable convalescent environment.