US 11,915,818 B2 · System and method for assessing extubation

Abstract

A system for assessing extubation includes a respiratory assistance device, an artificial intelligence platform, and a hospital information system. The respiratory assistance device is adapted to communicate with a trachea of a patient. The artificial intelligence platform includes a prediction module. A method for assessing extubation includes the following steps. Measured values of respiratory parameters of the patient are recorded by the respiratory assistance device. The recorded times and the measured values of the respiratory parameters corresponding to each of the recording times are transmitted to the artificial intelligence platform. The prediction module analyzes the measured values of respiratory parameters within a predetermined time period according to a prediction model to generate a prediction result. The prediction result is transmitted to the hospital information system and is recorded into a medical record of the patient. With such design, a reference for extubation assessment that is more accurate is provided.

Claims17

Dependent claims

A system for assessing extubation, comprising:

a respiratory assistance device adapted to communicate with a trachea of a patient via an endotracheal tube, wherein the respiratory assistance device continuously records measured values of a plurality of respiratory parameters of the patient at predetermined time intervals;
an artificial intelligence platform receiving recorded times and measured values of the respiratory parameters corresponding to each of the recorded times, wherein the artificial intelligence platform comprises a prediction module, and the prediction module analyzes the measured values of the respiratory parameters within a predetermined time period according to the at least one prediction model and generates at least one prediction result;
the at least one prediction result comprises one of a success status and a failure status;
and
a hospital information system receiving the at least one prediction result and recording the at least one prediction result that is received into a medical record of the patient.

2 more elements

A method for assessing extubation adapted to be applied to a system for assessing extubation, wherein the system for assessing extubation comprises a respiratory assistance device, an artificial intelligence platform, and a hospital information system;

the respiratory assistance device is adapted to communicate with a trachea of a patient;
the artificial intelligence platform comprising a prediction module;
wherein the method for assessing extubation comprises:
continuously recording measured values of a plurality of respiratory parameters of the patient at predetermined time intervals;
transmitting the recorded time and the measured values of a plurality of respiratory parameters corresponding to the recorded time to the artificial intelligence platform;
then, analyzing the measured values of the respiratory parameters within a predetermined time period according to at least one prediction model to generate at least one prediction result by the prediction module, wherein the at least one prediction result comprises one of a success status and a failure status;
transmitting the at least one prediction result to the hospital information system, wherein the hospital information system records the at least one prediction result that is received into a medical record of the patient.

4 more elements

Dependencies are inferred from the claim text.

System and method for assessing extubation

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System and method for assessing extubation

Life of this patent

Abstract

Claims17