Method, server, and system intelligent ventilator monitoring using non-contact and non-face-to-face

An integrated monitoring system comprising:

• a home ventilator installed at a remote location, measuring respiratory mechanics information of a patient, and transmitting the measured respiratory mechanics information in real time;
• a hospital ventilator installed in a hospital, measuring the respiratory mechanics information of the patient, and transmitting the measured respiratory mechanics information in real time;
• and
• an integrated monitoring server connected to the home ventilator through a network and receiving the waveform-type respiratory mechanics information, connected to the hospital ventilator through a dedicated line and receiving the waveform-type respiratory mechanics information, and transmitting the real-time respiratory mechanics information to a server device of the hospital or mobile terminals of medical personnel connected thereto through an internet.

An integrated monitoring server comprising:

• a data collection unit receiving waveform-type respiratory mechanics information from a ventilator of a patient that is installed at a remote location or various biometric signals measured in real time from a patient monitoring device installed at the remote location;
• a data analysis unit classifying an abnormal signal occurrence cause type or a specific disease type by using an artificial intelligence model trained to classify the abnormal signal occurrence cause type or the specific disease type from input data to input the respiratory mechanics information or the biometric signal, received by the data collection unit, to the artificial intelligence model;
• and
• a data provision unit transmitting analysis information of the data analysis unit to a hospital system or mobile terminals of medical personnel.