Intelligent infusion monitoring and early warning system

Abstract

The invention relates to the technical field of infusion monitoring, and particularly discloses an intelligent infusion monitoring and early warning system, which comprises a physiological parameter acquisition module for acquiring physiological data information of a patient in an infusion process; the infusion monitoring module is used for collecting infusion information of the liquid medicine; collected information is compared with standard information through the analyzing and processing unit, then the risk degree of a patient in the infusion process is judged according to the comparison result, warning is conducted through the warning module when the risk degree is high, and through the arrangement, whether the patient has anaphylactic reaction in the infusion process or not can be judged according to the risk degree, so that the patient is prevented from having the anaphylactic reaction. According to the invention, the vital signs of the patient can be observed in time, so that the situations of dyspnea, sweat dripping, even allergic shock and the like caused by anaphylaxis of the patient to some medicine in the liquid medicine during infusion are avoided, the risk of the patient in the infusion process is reduced, and the probability of medical negligence is further reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of infusion monitoring, and in particular to an intelligent infusion monitoring and early warning system. Background Art

[0002] Infusion refers to the process of establishing a venous access through venipuncture and infusing medicines, nutrient solutions, blood, etc. into blood vessels in order to achieve the purpose of treating diseases, supplementing nutrition, correcting electrolyte disorders, replenishing blood volume, etc. It is a branch of injections and is usually packaged in glass or plastic infusion bottles or bags and does not contain antibacterial agents.

[0003] During the infusion process, in order to ensure the safety and effectiveness of the infusion process, a monitoring system is usually used to monitor the flow rate of the infusion in real time, as well as the liquid level in the infusion bottle in real time. This can accurately determine the liquid situation in the infusion tube or infusion bottle, so that medical staff can adjust the infusion speed in time to ensure the safety of patients.

[0004] Existing infusion monitoring systems generally detect the infusion flow rate and the liquid level in the infusion bottle, which allows medical staff to adjust the infusion speed in a timely manner to ensure the safety of patients. However, when patients are treated with different drugs, they may have an allergic reaction to a certain drug in the liquid medicine. At this time, the patient will experience difficulty breathing, profuse sweating, or even anaphylactic shock, and the monitoring system cannot monitor this situation, which increases the risk of patients during the infusion process and the probability of medical accidents. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent infusion monitoring and early warning system to solve the following technical problems:

[0006] How to monitor the risks of patients during infusion to reduce the probability of medical accidents.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] An intelligent infusion monitoring and early warning system, the system comprising:

[0009] Physiological parameter acquisition module, used to collect the patient's physiological data information during the infusion process;

[0010] Infusion monitoring module, used to collect infusion information of liquid medicine;

[0011] An analysis and processing module is used to compare the collected patient physiological data with the infusion information and standard information, and determine the patient's risk level during the infusion process based on the comparison results, and then adjust the patient's infusion progress based on the risk level;

[0012] The warning module is used to receive instructions from the analysis and processing module and issue warnings.

[0013] Furthermore, the physiological parameter acquisition module mainly acquires information including the patient's blood pressure, heart rate and body temperature, and the infusion monitoring module mainly acquires information including the flow rate and temperature of the liquid medicine.

[0014] Furthermore, the analysis and processing process includes:

[0015] By formula Calculate the first risk coefficient S of the patient at the i-th time point during the infusion process i ;

[0016] Among them, i is any data collection at a fixed time interval, A i is the patient's blood pressure value collected at the i-th time during an infusion process, A 0i is the standard blood pressure value of the patient at the time of data collection for the i-th time during an infusion process, T i is the patient's body temperature at the i-th data collection during an infusion process, T 0i is the standard body temperature of the patient at the time of data collection for the i-th time during an infusion process, K i is the patient's heart rate value collected during the i-th data collection during an infusion process, K 0i is the standard heart rate value of the patient during the i-th data collection during an infusion process, is the risk coefficient of liquid medicine; X1, X2 and X3 are weight coefficients.

[0017] Furthermore, the analysis and processing process also includes:

[0018] The first risk coefficient S of the patient at all i-th time points during the infusion process i Respectively with S L Make a comparison;

[0019] If all S i Any one of them is greater than S L , judge that the real-time risk of the patient during infusion is high;

[0020] If all S i Both are smaller than S L , determine that the real-time risk during the infusion process is low, and further analyze the real-time risk during the infusion process in combination with the infusion information;

[0021] Among them, S L is the preset risk factor threshold.

[0022] Furthermore, the analysis and processing process also includes:

[0023] By formula Calculate the second risk coefficient V of the patient at the i-th time point during the infusion process i ;

[0024] Among them, θ i is the temperature of the liquid medicine collected at the i-th data point during an infusion process; θ 0i is the standard temperature of the liquid medicine during the i-th data collection during an infusion process, L i is the flow rate of the liquid drug collected during the i-th data collection during an infusion process, L 0i is the standard flow rate of liquid medicine during the i-th data collection during an infusion process;

[0025] By calculating the second risk coefficient V of the patient at all i-th time points during the infusion process i Respectively with S L Make a comparison;

[0026] If all V i Any one of them is greater than S L , judge that the real-time risk of the patient during infusion is high;

[0027] If all V i Both are smaller than S L , determine that the real-time risk during the infusion process is low, and analyze the overall risk during the infusion process.

[0028] Furthermore, the process of the overall risk analysis of infusion includes:

[0029] By formula Calculate and obtain the risk fluctuation value σ of the patient during the infusion process;

[0030] Where n is the number of time points collected at fixed time intervals before the current time point, i∈[1,n]; For all V i The average value of

[0031] The overall risk of infusion is judged based on the risk fluctuation value σ of the patient during the infusion process.

[0032] Furthermore, the overall risk analysis process of infusion also includes:

[0033] By formula Calculate the patient's overall risk coefficient μ during the infusion process;

[0034] And compare the patient's overall risk factor μ with μ1 during the infusion process;

[0035] If μ>μ1, the patient’s overall risk during the infusion process is judged to be high;

[0036] Otherwise, the patient's overall risk during the infusion was judged to be low;

[0037] Among them, μ1 is the preset overall risk factor threshold of infusion.

[0038] Furthermore, the analysis and processing process also includes:

[0039] When it is determined that the real-time risk level during the infusion process is high, the analysis and processing module issues a command to the warning module, which receives the command issued by the analysis and processing module and issues a warning, and then closely monitors the patient's vital signs such as body temperature, blood pressure and heart rate;

[0040] When it is judged that the overall risk during the infusion process is high, the analysis module issues a command to the warning module, and the warning module will issue an alarm to remind medical staff to adjust the infusion time, the flow rate of the liquid medicine, and the temperature of the liquid medicine.

[0041] Beneficial effects of the present invention:

[0042] (1) The present invention compares the collected information with the standard information through the analysis and processing unit, and then determines the risk of the patient during the infusion process according to the comparison result, and issues a warning through the warning module when the risk is high. Through such a setting, it is possible to determine whether the patient has an allergic reaction during the infusion process according to the level of risk, and observe the patient's vital signs in time to avoid the patient having an allergic reaction to a certain drug in the liquid medicine during the infusion, resulting in breathing difficulties, sweating, or even anaphylactic shock, etc., thereby reducing the risk of the patient during the infusion process and thereby reducing the probability of medical accidents.

[0043] (2) The present invention calculates the second risk coefficient V of the patient at all i-th time points during the infusion process. i Respectively with the preset risk factor threshold S L Compare, if all V i Any one of them is greater than S L , judging that the real-time risk of the patient during the infusion process is high, the analysis and processing module will issue a command to the warning module, and the warning module will receive the command and issue a warning to remind the medical staff to observe the patient. i Both are smaller than S L , then it is judged that the risk level of the patient during infusion is low and no warning is needed. Through such a setting, the risk level of the patient during infusion can be accurately assessed, thereby ensuring the safety of the patient during the infusion process.

[0044] (3) The present invention obtains the risk fluctuation value σ through calculation. If the degree of dispersion of the risk fluctuation value σ is large, the system will judge that the patient has a smaller risk during the infusion process, indicating that the patient still has safety hazards during the infusion process. If the degree of dispersion of the risk fluctuation value σ is small, the system will judge that the patient has a smaller risk during the infusion process, indicating that the patient has a lower safety hazard during the infusion process.

[0045] (4) The present invention compares the patient's overall risk coefficient μ during the infusion process with a preset overall risk coefficient threshold μ1. By doing so, not only can the real-time risk of the patient during the infusion process be monitored, but also the overall risk of the patient during the entire infusion process can be calculated and analyzed. The real-time risk and the overall risk are monitored by the analysis and processing module to ensure the safety of the patient during the infusion process. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The present invention will be further described below in conjunction with the accompanying drawings.

[0047] Figure 1 It is a schematic block diagram of an intelligent infusion monitoring and early warning system of the present invention. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] See also Figure 1 As shown, in one embodiment, the present application provides an intelligent infusion monitoring and early warning system, the system comprising:

[0050] Physiological parameter acquisition module, used to collect the patient's physiological data information during the infusion process;

[0051] Infusion monitoring module, used to collect infusion information of liquid medicine;

[0052] An analysis and processing module is used to compare the collected patient physiological data with the infusion information and standard information, and determine the patient's risk level during the infusion process based on the comparison results, and then adjust the patient's infusion progress based on the risk level;

[0053] The warning module is used to receive instructions from the analysis and processing module and issue warnings;

[0054] Through the above technical scheme, a physiological parameter acquisition module and an infusion monitoring module are set in the system of this embodiment. During the infusion process of the patient, the physiological parameter acquisition module and the infusion monitoring module can respectively collect the patient's physiological data information and the infusion information of the liquid medicine, and compare the collected information with the standard information through the analysis and processing unit, and then judge the patient's risk during the infusion process according to the comparison result, and when the risk is high, issue a warning through the warning module. Through such a setting, it is possible to judge whether the patient has an allergic reaction during the infusion process according to the level of risk, and observe the patient's vital signs in time to avoid the patient's allergic reaction to a certain drug in the liquid medicine during the infusion, resulting in breathing difficulties, sweating and even anaphylactic shock, etc., thereby reducing the risk of the patient during the infusion process and thus reducing the probability of medical accidents.

[0055] It should be noted that the data acquisition methods of the physiological parameter acquisition module and the infusion monitoring module can be completed through existing technologies and will not be described in detail here.

[0056] The physiological parameter acquisition module mainly acquires information including the patient's blood pressure, heart rate and body temperature, and the infusion monitoring module mainly acquires information including the flow rate and temperature of the liquid medicine;

[0057] Through the above technical solution, when the patient is receiving infusion, the physiological parameter acquisition module will monitor the patient's blood pressure, heart rate and body temperature in real time, and the infusion monitoring module will monitor the flow rate and temperature of the liquid medicine in real time. During this process, the analysis and comparison module can monitor the patient's real-time risk during infusion based on real-time data, thereby ensuring the patient's safety during the infusion process.

[0058] The analysis and processing process includes:

[0059] By formula Calculate the first risk coefficient S of the patient at the i-th time point during the infusion process i ;

[0060] Among them, i is any data collection at a fixed time interval, A i is the patient's blood pressure value collected at the i-th time during an infusion process, A 0i is the standard blood pressure value of the patient at the time of data collection for the i-th time during an infusion process, T i is the patient's body temperature at the i-th data collection during an infusion process, T 0i is the standard body temperature of the patient at the time of data collection for the i-th time during an infusion process, K i is the patient's heart rate value collected during the i-th data collection during an infusion process, K 0i is the standard heart rate value of the patient during the i-th data collection during an infusion process, is the risk factor of liquid drugs; X1, X2 and X3 are weight coefficients, which are set according to empirical data fitting. A1 and K1 are A i and K i The reference value is selected and set according to the allowable error in the empirical data, where f(X) is a judgment function. If X>0, then f(X)=X; if X≤0, then f(X)=0;

[0061] Through the above technical solution, this embodiment provides the first risk coefficient S of the patient at the i-th time point during the infusion process: i , we can use the formula It is obvious that if the patient's blood pressure, heart rate and body temperature are close to the standard data during the infusion process, the patient's real-time risk during the infusion process is low, indicating that the patient has no allergic reaction;

[0062] When the patient is receiving an infusion, if his blood pressure and heart rate are higher than the standard blood pressure and standard heart rate, and his body temperature is lower than the standard body temperature or exceeds the standard body temperature, then the patient's real-time risk during the infusion process will be greater, indicating that the patient may have an allergic reaction. At this time, the analysis and processing module will issue a command to the warning module. After receiving the command, the warning module will issue an alarm to remind medical staff to observe the patient. Through such a setting, the real-time risk of the patient during the infusion process can be calculated according to the patient's physiological parameters, and the patient's physical condition can be judged according to the calculated real-time risk, so as to avoid the patient from having difficulty breathing, sweating profusely, or even anaphylactic shock due to allergies to the drugs in the liquid medicine during the infusion process, thereby ensuring the patient's safety during the infusion process.

[0063] The analysis and processing process also includes:

[0064] The first risk coefficient S of the patient at all i-th time points during the infusion process i Respectively with S L Make a comparison;

[0065] If all S i Any one of them is greater than S L , judge that the real-time risk of the patient during infusion is high;

[0066] If all S i Both are smaller than S L , determine that the real-time risk during the infusion process is low, and further analyze the real-time risk during the infusion process in combination with the infusion information;

[0067] Among them, S L To preset a risk factor threshold, the preset risk factor threshold can be set by empirical fitting;

[0068] By using the above technical solution, when judging the real-time risk of a patient during infusion, firstly, the first risk coefficient S of the patient at all i-th time points during the infusion process is calculated. i Respectively with S L Compare, if all S i Any one of them is greater than S L , then it is judged that the patient has a high risk of infusion at this time point. At this time, the analysis and processing module will issue a command to the warning module, and the warning module receives the command and issues a warning, reminding the medical staff to observe the patient;

[0069] If all S i Both are smaller than S L , judging that the patient's real-time risk during the infusion process is small and no serious allergic reaction occurs. Through this judgment method, the patient's risk during the infusion process can be accurately judged, thereby avoiding the patient's allergic reaction during the infusion process, thereby ensuring the patient's safety during the infusion process. Afterwards, the analysis and processing module will combine the infusion information to further analyze the patient's real-time risk during the infusion.

[0070] The analysis and processing process also includes:

[0071] By formula Calculate the second risk coefficient V of the patient at the i-th time point during the infusion process i ;

[0072] Among them, θ i is the temperature of the liquid medicine collected at the i-th data point during an infusion process; θ 0i is the standard temperature of the liquid medicine during the i-th data collection during an infusion process, L i is the flow rate of the liquid drug collected during the i-th data collection during an infusion process, L 0i is the standard flow rate of liquid medicine during the i-th data collection during an infusion process;

[0073] By calculating the second risk coefficient V of the patient at all i-th time points during the infusion process i Respectively with S L Make a comparison;

[0074] If all V i Any one of them is greater than S L , judge that the real-time risk of the patient during infusion is high;

[0075] If all V i Both are smaller than S L , determine that the real-time risk level during the infusion process is low, and analyze the overall risk level during the infusion process;

[0076] Through the above technical solution, this embodiment provides the second risk coefficient V of the patient at the i-th time point during the infusion process: i , we can use the formula It is obvious that after excluding the first risk coefficient Si, during the patient's infusion process, if the flow rate and temperature of the liquid medicine are close to the standard flow rate and standard temperature, then the patient's risk during the infusion process is relatively small, indicating that the patient will not have an allergic reaction or rejection reaction. If the flow rate of the liquid medicine is higher than the standard flow rate and the temperature of the liquid medicine is lower than the standard temperature, the patient's risk during the infusion process is relatively large, indicating that the patient may have an allergic reaction or rejection reaction.

[0077] Then the second risk coefficient V of the patient at all i-th time points during the infusion process is i Respectively with S L Compare, if all V i Any one of them is greater than S L , judging that the real-time risk of the patient during the infusion process is high, the analysis and processing module will issue a command to the warning module, and the warning module will receive the command and issue a warning to remind the medical staff to observe the patient. i Both are smaller than S L , then it is judged that the risk level of the patient during infusion is low and no warning is needed. Through such a setting, the real-time risk level of the patient during infusion can be accurately assessed, thereby ensuring the safety of the patient during the infusion process.

[0078] The process of the overall risk analysis of infusion includes:

[0079] By formula Calculate and obtain the risk fluctuation value σ of the patient during the infusion process;

[0080] Where n is the number of time points collected at fixed time intervals before the current time point, i∈[1,n]; For all V i The average value of

[0081] According to the risk fluctuation value σ of the patient during the infusion process, the overall risk of infusion is judged;

[0082] Through the above technical solution, the formula can be used The risk fluctuation value σ of the patient during the infusion process is calculated. If the discrete degree of the risk fluctuation value σ is large, the system will judge that the patient has a small risk during the infusion process, indicating that the patient still has safety hazards during the infusion process. If the discrete degree of the risk fluctuation value σ is small, the system will judge that the patient has a small risk during the infusion process, indicating that the patient has a low safety hazard during the infusion process. Through such a setting, the overall risk of the patient during the entire infusion process can be judged, thereby ensuring the patient's safety during the subsequent infusion process.

[0083] The overall risk analysis process for infusion also includes:

[0084] By formula Calculate the patient's overall risk coefficient μ during the infusion process;

[0085] And compare the patient's overall risk factor μ with μ1 during the infusion process;

[0086] If μ>μ1, the patient’s overall risk during the infusion process is judged to be high;

[0087] Otherwise, the patient's overall risk during the infusion was judged to be low;

[0088] Among them, μ1 is the preset overall risk coefficient threshold of infusion, which can be set by empirical fitting;

[0089] Through the above technical solution, the formula The overall risk coefficient μ of the patient during the infusion process is calculated, and then the analysis and processing module will compare the overall risk coefficient μ of the patient during the infusion process with μ1. If μ>μ1, the system determines that the overall risk of the patient during the infusion process is high, and because all V i Both are smaller than S L On this basis, it is explained that the patient's allergic reaction during the infusion process is relatively small, but there is still a certain reaction. If the infusion is prolonged, the allergic reaction may be amplified. At this time, the analysis module issues a command to the warning module, and the warning module will issue a warning to remind medical staff to adjust the infusion time, the flow rate of the liquid medicine, and the temperature of the liquid medicine to avoid the increase of the patient's allergic reaction caused by long-term infusion, thereby ensuring the safety of the patient;

[0090] If μ<μ1, it is judged that the overall risk of the patient during the infusion process is low, and there is no need to adjust the patient's infusion time, the flow rate of the liquid medicine, and the temperature of the liquid medicine. Through such a setting, not only the real-time risk of the patient during the infusion process can be monitored, but also the overall risk of the patient during the entire infusion process can be calculated and analyzed. The real-time risk and the overall risk are monitored through the analysis and processing module to ensure the safety of the patient during the infusion process.

[0091] The analysis and processing process also includes:

[0092] When it is determined that the real-time risk level during the infusion process is high, the analysis and processing module issues a command to the warning module, which receives the command issued by the analysis and processing module and issues a warning, and then closely monitors the patient's vital signs such as body temperature, blood pressure and heart rate;

[0093] When it is judged that the overall risk level during the infusion process is high, the analysis module issues a command to the warning module, and the warning module issues a warning to remind medical staff to adjust the infusion time, the flow rate of the liquid medicine, and the temperature of the liquid medicine;

[0094] In the above technical solution, when it is determined that the real-time risk during the infusion process is high, the analysis and processing module will issue a command to the warning module, and the warning module will issue a warning and remind medical staff to closely monitor the patient's vital signs such as body temperature, blood pressure and heart rate, so as to avoid the patient's strong allergic reaction and cause physical damage;

[0095] When it is judged that the overall risk during the infusion process is high, the analysis module will issue a command to the warning module, and the warning module will issue an alarm to remind medical staff to adjust the infusion time, the flow rate of the liquid medicine, and the temperature of the liquid medicine to avoid increased allergic reactions in patients due to long-term infusion, thereby ensuring the safety of patients.

[0096] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An intelligent infusion monitoring and early warning system, characterized in that: The system comprises: Physiological parameter acquisition module, used to collect the patient's physiological data information during the infusion process; Infusion monitoring module, used to collect infusion information of liquid medicine; An analysis and processing module is used to compare the collected patient physiological data with the infusion information and standard information, and determine the patient's risk level during the infusion process based on the comparison results, and then adjust the patient's infusion progress based on the risk level; The warning module is used to receive instructions from the analysis and processing module and issue warnings.

2. The intelligent infusion monitoring and early warning system according to claim 1, characterized in that: The physiological parameter acquisition module mainly acquires information including the patient's blood pressure, heart rate and body temperature, and the infusion monitoring module mainly acquires information including the flow rate and temperature of the liquid medicine.

3. The intelligent infusion monitoring and early warning system according to claim 1 is characterized in that: The analysis and processing process includes: By formula Calculate the first risk coefficient S of the patient at the i-th time point during the infusion process i ; Among them, i is any data collection at a fixed time interval, A i is the patient's blood pressure value collected at the i-th time during an infusion process, A 0i is the standard blood pressure value of the patient at the time of data collection for the i-th time during an infusion process, T i is the patient's body temperature during the i-th data collection during an infusion process, T 0i is the standard body temperature of the patient at the time of data collection for the i-th time during an infusion process, K i is the patient's heart rate value for the i-th data collection during an infusion process, K 0i is the standard heart rate value of the patient during the i-th data collection during an infusion process, is the risk coefficient of liquid medicine; X1, X2 and X3 are weight coefficients.

4. The intelligent infusion monitoring and early warning system according to claim 3 is characterized in that: The analysis and processing process also includes: The first risk coefficient S of the patient at all i-th time points during the infusion process i Respectively with S L Make a comparison; If all S i Any one of them is greater than S L , judge that the real-time risk of the patient during infusion is high; If all S i Both are smaller than S L , determine that the real-time risk during the infusion process is low, and further analyze the real-time risk during the infusion process in combination with the infusion information; Among them, S L is the preset risk factor threshold.

5. The intelligent infusion monitoring and early warning system according to claim 4, characterized in that: The analysis and processing process also includes: By formula Calculate the second risk coefficient V of the patient at the i-th time point during the infusion process i ; Among them, θ i is the temperature of the liquid medicine collected at the i-th data point during an infusion process; θ 0i is the standard temperature of the liquid medicine during the i-th data collection during an infusion process, L i is the flow rate of the liquid drug collected during the i-th data collection during an infusion process, L 0i is the standard flow rate of liquid medicine during the i-th data collection during an infusion process; By calculating the second risk coefficient V of the patient at all i-th time points during the infusion process i Respectively with S L Make a comparison; If all V i Any one of them is greater than S L , judge that the real-time risk of the patient during infusion is high; If all V i Both are smaller than S L , determine that the real-time risk during the infusion process is low, and analyze the overall risk during the infusion process.

6. The intelligent infusion monitoring and early warning system according to claim 5, characterized in that: The process of the overall risk analysis of infusion includes: By formula Calculate and obtain the risk fluctuation value σ of the patient during the infusion process; Where n is the number of time points collected at fixed time intervals before the current time point, i∈[1,n]; For all V i The average value of The overall risk of infusion is judged based on the risk fluctuation value σ of the patient during the infusion process.

7. The intelligent infusion monitoring and early warning system according to claim 6, characterized in that: The overall risk analysis process for infusion also includes: By formula Calculate the patient's overall risk coefficient μ during the infusion process; And compare the patient's overall risk factor μ with μ1 during the infusion process; If μ>μ1, the patient’s overall risk during the infusion process is judged to be high; Otherwise, the patient's overall risk during the infusion was judged to be low; Among them, μ1 is the preset overall risk factor threshold of infusion.

8. The intelligent infusion monitoring and early warning system according to claim 1, characterized in that: The analysis and processing process also includes: When it is judged that the real-time risk level during the infusion process is high, the analysis and processing module issues a command to the warning module, which receives the command issued by the analysis and processing module and issues a warning, and then closely monitors the patient's vital signs such as body temperature, blood pressure and heart rate; When it is judged that the overall risk during the infusion process is high, the analysis module issues a command to the warning module, and the warning module will issue an alarm to remind medical staff to adjust the infusion time, the flow rate of the liquid medicine, and the temperature of the liquid medicine.

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