With the continuous development of modern information technology, the healthcare system has entered the digital health era. The collection and reuse of huge amount of data need to be realized by data mining technology. Due to the high morbidity of stroke, it has accumulated a large amount of data in clinical work, and efficient and precise management of patients can be realized through in-depth mining of health information data. This paper reviewed the current status of the application of data mining in the field of stroke digital health, and summarized the problems in the application and put forward the outlook, in order to provide a reference for the application of data mining technology in stroke digital health.

The management of drainage tube is an important part of nursing work. Patient restraint and tube fixation cannot effectively prevent unplanned extubation (UEX) when the tube is accidentally pulled by violence. The nursing innovation team of Henan Provincial People's Hospital designed a medical drainage tube anti-pull device in order to change the existing technology of preventing drainage tube disconnecting by means of restraint and fixation, and to interfere with the basic cause of drainage tube disconnection, and obtained the national utility model patent (patent number: ZL 2020 2 2843025.1). The design of sleeve and clasp is that when the drainage tube is pulled by accidental violence, the friction fastener clamps the drainage tube mechanically to achieve the purpose of braking the drainage tube and prevent the drainage tube from coming out. Card sleeve ring fracture design can be applied to drainage tubes of different diameters, and the buzzer device at the instant of the snap ring into the card set warning medical staff to the occurrence of risk events, so that the nurse can come in the first place for effective treatment, which is a fuse for surgical drainage tubes and is to timely and effectively prevent UEX.