Intelligent control method and system for anesthesia machine

Abstract

The invention relates to the technical field of medical equipment control, and particularly discloses an intelligent control method and system for an anaesthesia machine, and the method comprises the steps: S1, collecting the information of a patient through an information statistics module, analyzing the data in a case, and analyzing the medicine used by the patient through a medicine monitoring module, the adverse reaction probably occurring between the anesthetic and other auxiliary drugs is predicted, and an information statistics module and a drug monitoring module transmit data to an analysis system; and S2, analyzing data of the information statistics module and the medicine monitoring module through an analysis system. According to the intelligent control method and system for the anesthesia machine, the medicine monitoring module is arranged, the use safety of the system is improved, the medicine monitoring module analyzes the auxiliary medicine used by the patient, predicts the adverse reaction generated between the auxiliary medicine and the anesthetic and adjusts the medication scheme, adverse events caused by medicine interaction are avoided, and the use safety of the system is improved. The practicability of the anaesthesia machine is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical device control, and specifically provides an intelligent control method and system for an anesthesia machine. Background Technique

[0002] An anesthesia machine delivers anesthetic drugs into the patient's alveoli through a mechanical circuit to form an anesthetic gas partial pressure. After diffusing into the blood, it directly inhibits the central nervous system, thereby producing the effect of general anesthesia. The anesthesia machine belongs to a semi-open anesthesia device. At the same time, the anesthesia machine is portable and applicable, and can directly use air and oxygen as carrier gases, and can perform assisted respiration and controlled respiration to meet the requirements of various surgeries. The working principle of the anesthesia machine is as follows: After the patient completes anesthesia induction, connect the air anesthesia machine to a closed face mask or tracheal catheter. During inhalation, the anesthetic mixture gas enters the patient's body through the opened inhalation valve; during exhalation, the exhalation valve opens, and at the same time the inhalation valve closes to discharge the exhaled gas. When using assisted or controlled respiration, a folding bellows can be used. Press it down during inhalation and pull it up during exhalation to ensure that the patient has sufficient ventilation volume. At the same time, according to actual needs, adjust the ether switch to maintain a stable anesthesia level; In modern medical surgeries, anesthesia is a crucial link. Too deep anesthesia may lead to serious complications such as respiratory depression and circulatory failure in patients, even endangering life; while too shallow anesthesia may cause adverse experiences such as awareness and pain in patients during the surgery, affecting the smooth progress of the surgery. Traditional anesthesia machines mainly rely on anesthesiologists to manually adjust parameters, and this method has certain limitations and is difficult to adjust in real time and accurately according to the patient's physiological state. Therefore, in order to improve the safety and effectiveness of anesthesia, a more intelligent control system is needed to monitor and adjust anesthesia parameters in real time. However, when the existing intelligent control methods and systems for anesthesia machines are used, they cannot analyze the auxiliary drugs used by patients, cannot predict the possible adverse reactions between anesthetic drugs and other auxiliary drugs, and cannot ensure the safety of patients during anesthesia. Summary of the Invention

[0003] The purpose of the present invention is to provide an intelligent control method and system for an anesthesia machine to solve the problems raised in the above background technique, namely, the inability to analyze the auxiliary drugs used by patients, the inability to predict the possible adverse reactions between anesthetic drugs and other auxiliary drugs, and the inability to ensure the safety of patients during anesthesia.

[0004] To achieve the above purpose, the present invention provides the following technical solutions: An intelligent control method and system for an anesthesia machine, including S1: The information statistics module collects the patient's information, analyzes the data inside the case, analyzes the drugs used by the patient through the drug monitoring module, predicts the possible adverse reactions between anesthetic drugs and other auxiliary drugs, and the information statistics module and the drug monitoring module transmit the data to the analysis system; S2: The analysis system analyzes the data of the information statistics module and the drug monitoring module. Meanwhile, the physiological parameter detection system monitors the patient's physiological parameters. The analysis system analyzes the anesthesia plan based on the data and transmits the data to the internal decision system. S3: The decision system transmits the anesthesia plan to the internal display. The data is displayed through the display device. The expert reads the anesthesia plan through the display device, modifies the anesthesia plan through the decision system, and transmits the completed modified anesthesia plan to the internal control module. S4: The control module regulates and uses the anesthesia machine. Meanwhile, the sensing device monitors the patient's physiological parameters in real time. The automatic warning module warns of possible situations during anesthesia. The automatic warning module transmits the warning information to the internal display device, and the warning is given through the display device. At the same time, the overall data is transmitted to the data security protection module, and the plan is stored through the data security protection module.

[0005] Preferably, in S1, the information statistics module extracts the patient's information through the patient's case, and the drug monitoring module extracts the information of the auxiliary drugs used through the case.

[0006] Preferably, in S2, the analysis system can analyze the data of the information statistics module, the drug monitoring module, and the physiological parameter detection system simultaneously, confirm the anesthesia plan based on the data of the three, and at the same time, the analysis system can detect the patient's physiological parameters and compare them with the preset physiological parameters to generate an anesthesia plan.

[0007] Preferably, the automatic warning module analyzes based on the data of the sensing device, and the automatic warning module predicts risks according to the data of the patient's real-time physiological parameters.

[0008] Preferably, the anesthesia formulation system, the confirmation system, the auxiliary system, and the display device; The anesthesia formulation system includes: a physiological parameter detection system, an analysis system, a drug monitoring module, and an information statistics module; The information statistics module: It is used to extract and collect the patient's medical record information; The drug monitoring module: It is used to analyze the drugs used by the patient and predict the interaction between anesthetic drugs and auxiliary drugs; The analysis system: Analyzes based on the data of the information statistics module and the physiological parameter detection system to generate a personalized anesthesia plan; The physiological parameter detection system: Monitors the patient's physiological parameters through sensors.

[0009] Preferably, the interaction between the anesthetic drugs and the adjuvant drugs of the drug monitoring module is transmitted to the inside of the display device and displayed through the display device.

[0010] Preferably, the confirmation system includes a decision-making system and a control module. The analysis system transmits the anesthesia plan to the inside of the decision-making system, enabling experts to modify the anesthesia plan through the decision-making system. After the decision-making system confirms the completion of the anesthesia plan, the decision-making system transmits the data to the inside of the control module, and the control module controls each component of the anesthesia machine.

[0011] Preferably, the auxiliary system includes: a sensing device, an automatic warning module, and a data security protection module. The sensing device detects the physiological parameters of the patient in real time. At the same time, the sensing device transmits the data to the inside of the automatic warning module. The automatic warning module analyzes and predicts the possible situations based on this data. At the same time, the automatic warning module transmits the possible situations to the inside of the display device, and the data security protection module can store the data of this data plan.

[0012] Compared with the prior art, the beneficial effects of the present invention are: the intelligent control method and system for this anesthesia machine: 1. A drug monitoring module is provided to improve the safety of the system. The drug monitoring module analyzes the adjuvant drugs used by the patient, predicts the adverse reactions generated between the adjuvant drugs and the anesthetic, adjusts the medication plan, avoids adverse events caused by drug interactions, and improves the practicability of the anesthesia machine; 2. A sensing device is provided to monitor the physiological parameters of the patient. At the same time, the automatic warning module warns of the possible situations during anesthesia based on the data generated by the sensing device. When the physiological parameters of the patient show an abnormal trend or reach the preset risk threshold, it can timely remind the doctor to take measures, effectively prevent the occurrence of serious complications, and improve the safety of using the anesthesia machine; 3. A decision-making system is provided. The decision-making system transmits the anesthesia plan to the display device, and experts read and modify the anesthesia plan through the display device. Through the further optimization of the anesthesia plan by the experts, the rationality and effectiveness of the plan are ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a schematic structural diagram of the steps of the present invention; Figure 2 It is a schematic structural diagram of the system of the present invention; Figure 3 It is a schematic structural diagram of the composition of the system of the present invention; Figure 4 It is a schematic structural diagram of the composition of the anesthesia formulation system of the present invention; Figure 5 It is a schematic structural diagram of the composition of the confirmation system of the present invention; Figure 6 This is a schematic diagram of the composition structure of the auxiliary system of the present invention. Specific implementation manners

[0014] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0015] Please refer to Figures 1-6 , the present invention provides a technical solution: an intelligent control method and system for an anesthesia machine, including S1: an information statistics module collects information of a patient, analyzes data inside a case, analyzes drugs used by the patient through a drug monitoring module, predicts possible adverse reactions between anesthetic drugs and other auxiliary drugs, and the information statistics module and the drug monitoring module transmit the data to an analysis system; S2: The analysis system analyzes the data of the information statistics module and the drug monitoring module. At the same time, a physiological parameter detection system monitors the physiological parameters of the patient. The analysis system analyzes an anesthesia plan through the data and transmits the data to the inside of a decision-making system; S3: The decision-making system transmits the anesthesia plan to the inside of a display. The data is displayed through a display device. An expert reads the anesthesia plan through the display device, modifies the anesthesia plan through the decision-making system, and transmits the modified anesthesia plan to the inside of a control module; S4: The control module regulates and uses the anesthesia machine. At the same time, a sensing device monitors the physiological parameters of the human body in real time. An automatic warning module warns of possible situations during anesthesia. The automatic warning module transmits the warning information to the inside of the display device and warns through the display device. At the same time, the overall data is transmitted to a data security protection module, and the plan is stored through the data security protection module.

[0016] Through the information statistics module, the patient's case is extracted and analyzed to analyze the patient's physical condition. At the same time, the drug monitoring module analyzes the auxiliary drugs inside the case, and predicts the possible adverse reactions between the used auxiliary drugs and anesthetics through it. The physiological parameter detection system can measure and sense the patient's physiological parameters. The physiological parameter detection system, the drug monitoring module, and the information statistics module transfer the data to the inside of the analysis system. Through the analysis system, a comparison and analysis are made between the patient and the average data, and an anesthesia plan is synthesized through the analysis system. At the same time, the analysis system transfers the anesthesia plan to the inside of the decision-making system. The decision-making system transfers the steps to the display device, and at the same time, the drug monitoring module data is transferred to the display device. Through the display device, the data of both is displayed. The expert modifies the anesthesia plan through the display of the display device data and through the display device and the decision-making system. After the modification is completed, the anesthesia plan is transmitted to the control module. The control module controls the anesthesia machine, and the anesthesia machine anesthetizes the patient through the anesthesia machine. At the same time, the sensing device can detect the patient's body and detect the physiological parameters of the body in real time. The automatic warning module predicts the possible situations during anesthesia, and the automatic warning module transmits the prediction to the display device to facilitate the medical staff to prepare for the situation. At the same time, the automatic warning module combines with the sensing device to monitor the patient. When the sensing device shows an abnormal trend, the automatic warning module can transmit an alarm to the display device to warn foreign personnel, and at the same time, the whole of this data is transmitted to the inside of the data security protection module, and the information is stored through the data security protection module.

[0017] In S1, the information statistics module extracts the patient's information through the patient's case, and the drug monitoring module extracts the information of the used auxiliary drugs through the case; The information statistics module and the drug monitoring module extract the information inside the case at the same time, and the main information extracted by the two is different.

[0018] The analysis system can analyze the data of the information statistics module, the drug monitoring module, and the physiological parameter detection system at the same time, confirm the anesthesia plan based on the data of the three, and at the same time, through the analysis system, the patient's physiological parameters can be detected and compared with the preset physiological parameters to generate an anesthesia plan; The data of the information statistics module, the drug monitoring module, and the physiological parameter detection system are all transferred to the inside of the analysis system. Through the analysis system, the data is integrated to propose a more suitable anesthesia plan for the patient.

[0019] The automatic warning module analyzes based on the data of the sensing device. The automatic warning module predicts risks according to the real-time physiological parameter data of the patient; The automatic warning module analyzes possible abnormal situations. At the same time, based on the data of the sensing device, the automatic warning module observes the physiological parameters of the patient. When the physiological parameters are abnormal, it can remind the foreign personnel.

[0020] Anesthesia formulation system, confirmation system, auxiliary system and display device; The anesthesia formulation system includes: a physiological parameter detection system, an analysis system, a drug monitoring module and an information statistics module; Information statistics module: It is used to extract and collect the medical record information of the patient; Drug monitoring module: It is used to analyze the drugs used by the patient and predict the interaction between anesthetic drugs and adjuvant drugs; Analysis system: Analyze based on the data of the information statistics module and the physiological parameter detection system to generate a personalized anesthesia plan; Physiological parameter detection system: Monitor the physiological parameters of the patient through sensors; The information statistics module analyzes and processes the patient's situation through the case. At the same time, the information statistics module can transmit the patient's information to the analysis system. At the same time, the drug monitoring module analyzes the drugs taken by the user and predicts the possible drug interactions during the patient's anesthesia. The physiological parameter detection system detects and analyzes the current physiological parameters of the patient and transmits the data to the analysis system. The analysis system proposes an anesthesia plan based on the data of the three.

[0021] The drug monitoring module transmits the interaction between anesthetic drugs and adjuvant drugs to the inside of the display device and displays it through the display device; The drug monitoring module can understand the patient's situation, make the patient safer during anesthesia, and improve the safety of the patient's anesthesia.

[0022] The confirmation system includes a decision-making system and a control module. The analysis system transmits the anesthesia plan to the inside of the decision-making system, enabling experts to modify the anesthesia plan through the decision-making system. After the decision-making system confirms the completion of the anesthesia plan, the decision-making system transmits the data to the inside of the control module, and the control module controls each component of the anesthesia machine; Enable experts to modify the anesthesia plan through the decision-making system and the control system to make the plan more perfect. The decision-making system controls the anesthesia machine through the control module to improve the intelligence of the anesthesia machine.

[0023] The auxiliary system includes: a sensing device, an automatic warning module, and a data security protection module. The sensing device detects the physiological parameters of the patient in real time. At the same time, the sensing device transmits the data to the inside of the automatic warning module. The automatic warning module analyzes and predicts the possible situations based on this data. At the same time, the automatic warning module transmits the possible situations to the inside of the display device. The data security protection module can store the data of this data plan; Through the auxiliary system, the physiological parameters of the patient during anesthesia can be measured, and the possible situations of the patient can be predicted in advance, enabling medical staff to prevent the situations in advance and improving the safety of using this system.

[0024] Working principle: When using this intelligent control method and system for anesthetic machines, a physiological parameter detection system, an analysis system, and a drug monitoring module are set up to warn of possible situations during anesthesia, improving the safety of system use. A physiological parameter detection system, an analysis system, and a drug monitoring module are set up to form an anesthesia plan through the sum of different information. At the same time, experts modify the plan, increasing the overall practicality.

[0025] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent control method for an anesthesia machine, characterized in that: The following steps are involved: S1: The information statistics module collects the patient's information, analyzes the data within the case, analyzes the drugs used by the patient through the drug monitoring module, predicts the possible adverse reactions between anesthetic drugs and other auxiliary drugs, and the information statistics module and the drug monitoring module transmit the data to the analysis system; S2: The analysis system analyzes the data of the information statistics module and the drug monitoring module. At the same time, the physiological parameter detection system monitors the patient's physiological parameters. The analysis system analyzes the anesthesia plan through the data, and the analysis system transmits the data to the decision-making system. S3: The decision system transmits the anesthesia plan to the display, and the data is displayed through the display device. The expert reads the anesthesia plan through the display device. The expert modifies the anesthesia plan through the decision system, and transmits the modified anesthesia plan to the control module. S4: The anesthesia machine is regulated and used through the control module, while the sensing device monitors the physiological parameters of the human body in real time. The automatic warning module warns of possible situations during anesthesia. The automatic warning module transmits the warning information to the display device, issues a warning through the display device, and transmits the overall data to the data security protection module, which stores the plan through the data security protection module.

2. The intelligent control method for an anesthesia machine according to claim 1, characterized in that: The information statistics module in S1 extracts the patient's information through the patient's medical records, and the drug monitoring module extracts the information of the used auxiliary drugs through the medical records.

3. The intelligent control method for an anesthesia machine according to claim 1, characterized in that: In S2, the analysis system can simultaneously analyze the data of the information statistics module, the drug monitoring module and the physiological parameter detection system, and confirm the anesthesia plan based on the data of the three. At the same time, the analysis system can detect the patient's physiological parameters and compare them with the preset physiological parameters to generate an anesthesia plan.

4. The intelligent control method for an anesthesia machine according to claim 4, characterized in that: The automatic warning module is based on the analysis of the data from the sensing device, and predicts the risk based on the patient's real-time physiological parameter data.

5. The intelligent control system for anesthesia machine according to claim 1, characterized in that: As used in the detection method described in any one of claims 1 to 4 above, the anesthesia formulation system, confirmation system, auxiliary system and display device; The anesthesia formulation system includes: physiological parameter detection system, analysis system, drug monitoring module and information statistics module; Information statistics module: It is used to extract and collect the patient's medical record information; Drug monitoring module: It is used to analyze the drugs used by patients and predict the interaction between anesthetic drugs and auxiliary drugs; Analysis system: Analyze the data based on the information statistics module and the physiological parameter detection system to generate a personalized anesthesia plan; Physiological parameter detection system: monitors the patient's physiological parameters through sensors.

6. The intelligent control system for an anesthesia machine according to claim 5, characterized in that: The drug monitoring module transmits the interaction between the anesthetic drug and the auxiliary drug to the inside of the display device so that it is displayed through the display device.

7. The intelligent control system for an anesthesia machine according to claim 5, characterized in that: The confirmation system includes a decision-making system and a control module. The analysis system transmits the anesthesia plan to the decision-making system, allowing experts to modify the anesthesia plan through the decision-making system. After the decision-making system confirms that the anesthesia plan is completed, the decision-making system transmits the data to the control module, and the control module controls the various components of the anesthesia machine.

8. The intelligent control system for an anesthesia machine according to claim 5, characterized in that: The auxiliary system includes: a sensing device, an automatic warning module and a data security protection module. The sensing device detects the patient's physiological parameters in real time, and transmits the data to the automatic warning module. The automatic warning module analyzes and predicts possible situations based on the data, and transmits the possible situations of the automatic warning module to the display device. The data security protection module can store the data of this data plan.

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