The healthcare industry is under increasing pressure. In Taiwan, enrollment in five key medical specialty schools has dropped sharply. According to data from the World Health Organization (WHO), there will be a global shortage of 18 million healthcare workers by 2030, including 9 million nurses and midwives. In 2024, the average turnover rate for nurses in Taiwan’s medical centers reached 10.7%, with emergency room nurses experiencing a 9.7% turnover rate.
Taiwan’s rapidly aging population has further exacerbated the shortage of nursing staff. Nurses face repetitive and high-stress tasks, leading to burnout and declining care quality. The lack of intelligent support systems reduces efficiency and increases errors.
Currently, most medical robots focus solely on logistics, lacking semantic understanding and real-time interaction capabilities, making them inadequate for real clinical needs. EverBot generative AI medical robot is designed to fill this gap.
In the first phase, it integrates generative AI, large language models, and speech recognition technologies to provide functions such as patient navigation, health education consultations, meal ordering, remote ward rounds, and the delivery of items and instruments.