A construction method for a real-time monitoring system of the ventilator
Feng Wang1; Wenwen Zeng1; Huaqing Wang1; Tianqing Li2; Xuebin Chen2
1 National Foundation Research Laboratory of Fault Prevention and Hazardous, Chemicals Production System, Beijing University of Chemical Technology, Beijing, China
2 The medical engineering department, China-Japan Friendship Hospital, Beijing, China
Background: The ventilator is one of the medical devices with the highest risk of clinical usage, which is frequently applied in first aid and life support. The stable operation of ventilators and the accurate, fast response of the medical workers to ventilator alarms, are directly related to the health or safety of patients. Studies have shown that more than 90% of the ventilator alarm messages are false positive alarms. The frequent occurrence of false positive alarms will quickly lead to alarm fatigue of medical staffs, and the neglect of urgent warnings will endanger the patients' safety. With the continuous improvement of the mechanical ventilation theory of ventilators, the control system and data acquisition system are being more and more complex. As the performance parameters of the device increase, the types of alarms for the ventilator also increase. Moreover, there are more than 100 alarm types of ventilator. Ventilator alarm is closely related to the patient state, equipment state, and equipment operation state. The synchronous signal of other devices will also cause "alarm burden" to medical staff which will lead to alarm fatigue.
Methods: The paper puts forwards to an establishment method for a real-time monitoring system for the ventilator. The monitoring system can be used to collect the real-time data and alarm data of all the ventilators in a hospital. All hospital ventilators should be connected to a server in a central control room, and the ventilator operating parameters and alarm information can be tran**itted remotely to the server, and then the curves and status of all ventilator operating parameters can be displayed on screens. When the value of a parameter of ventilator deviates the normal, the monitoring system will give an alarm. The position of the ventilator can be quickly located, and the causes of parameter deviation can be acquired as soon as possible. It will contribute to adopting effective measures to bring the parameters of the ventilator back to normal.
Results: According to the application of the method in a hospital, it can be concluded that the system can to some extent assist medical staffs in reducing the occurrence rates of false positive alarms and avoiding alarm fatigue, and preventing mistake occurrence in clinical diagnosis and treatment.
Acknowledgements: This work was supported by the National Natural Science Foundation of China (Grant No. 51775029) & the Chinese universities scientific fund (Grants No. PYBZ1809 & PYBZ1813).
Correspondence Author: Feng Wang, National Foundation Research Laboratory of Fault Prevention and Hazardous, Chemicals Production System, Beijing University of Chemical Technology, Beijing, China (E-mail: wangfeng991@163.com).