Basic life support decision-making system under artificial intelligence

Abstract

The invention discloses a basic life support decision-making system under artificial intelligence. The basic life support decision-making system comprises a monitoring terminal, a decision-making terminal and an output terminal. The monitoring terminal comprises a circulation system monitoring module, a respiratory system monitoring module, a body temperature monitoring module, an anesthesia depthmonitoring module and a muscle relaxation monitoring module, and the monitoring terminal monitors vital sign data of a patient and transmits the vital sign data to the decision-making system; the decision-making system automatically identifies abnormal conditions of vital signs according to the data collected by the monitoring terminal, makes reason analysis and judgment and generates a decision-making scheme; and the output terminal outputs the decision-making scheme generated by the decision-making system. According to the invention, monitoring indexes can be clearly classified and are convenient to observe; the decision-making system independently classifies abnormal indexes, omission is not prone to occurring, medical decisions are automatically generated according to physical signs and treatment guidelines, doctors can select or change the medical decisions, and the work intensity of the doctors is relieved.

Description

technical field [0001] The invention relates to the technical field of designing medical devices, and in particular relates to a basic life support decision-making system under artificial intelligence. Background technique [0002] The human body has four vital signs: blood pressure, heart rate, respiration and body temperature. Stability of vital signs is a necessary condition for survival. This is also the most basic indication during the patient's anesthesia and during treatment in the intensive care unit. Maintaining the stability of vital signs is also a basic strategy for clinicians in clinical treatment. [0003] At present, the monitoring methods of vital signs are carried out separately, and the instruments used in the monitoring are also provided by different manufacturers. At present, there are more and more clinical monitoring items for the respiratory or circulatory system. Clinicians must find abnormalities in patients' physical signs through their own clos...

AI Technical Summary

Problems solved by technology

[0004] 1. Due to the large number of monitoring items and the large amount of monitoring data, some monitoring data and information with important value may be missed by human observation;

[0005] 2. At present, the treatment methods for many symptoms have been standardized and clarified, but clinicians have limited expertise, and it is impossible to fully grasp the treatment details of each clinical sign, which leads to deviations in the treatment effect;

[0006] 3. The patient's physical signs and data are finally processed by the doctor, which increases the burden on the medical staff, and due to long-term fatigue work, the work efficiency of the doctor will be reduced, and even decision-making deviation will occur;

[0007] 4. Monitoring requires multiple machines and monitoring equipment. The equipment will occupy a large area of ​​the operating room or intensive care unit, which will hinder the normal treatment and nursing work of medical staff.

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