An intelligent infusion monitoring method, electronic device, medium, and program product

Abstract

The present application relates to the technical field of infusion monitoring, and in particular, to an intelligent infusion monitoring method, an electronic device, a medium, and a program product. The method includes obtaining drug information, infusion information, and patient information. The drug information includes the total amount of the drug to be infused, and the infusion information includes the start time of infusion and the infusion drip rate; determining the amount of the drug that has been infused based on the infusion information, and determining the remaining amount of the drug according to the amount of the drug that has been infused and the total amount of the drug to be infused; when the remaining amount of the drug is lower than a preset standard drug amount, generating a prompt information based on the remaining amount of the drug and the patient information; if no response information is received within a first preset time period, determining the closing time of the infusion clamp according to the infusion drip rate and the remaining amount of the drug, and generating a closing instruction based on the closing time. The present application is convenient for improving the accuracy in the process of intelligent infusion monitoring.

Description

Technical Field

[0001] The present application relates to the technical field of infusion monitoring, and in particular, to an intelligent infusion monitoring method, an electronic device, a medium, and a program product. Background Art

[0002] Infusion therapy is a common treatment method for delivering necessary drugs or nutrient solutions to patients. During the infusion process, accurate control of the infusion rate and real-time monitoring of the infusion status are crucial for ensuring patient safety and treatment effectiveness. If the infusion drug is not replaced in a timely manner during the infusion process or the drip rate is uneven, it is very likely to increase the infection risk and safety risk of the patient during the infusion process. Therefore, it is particularly important to monitor the infusion process in real time.

[0003] In the traditional infusion process, medical staff usually need to observe and record the infusion situation of each patient in person to ensure that the infusion strategy of each patient can be correctly implemented. However, the health status, treatment needs, and infusion strategies of each patient may be different, which makes it necessary for medical staff to face huge work pressure and complexity in the case of a large number of patients. Therefore, with the continuous progress of medical technology, there is an urgent need for a more intelligent, efficient, and accurate infusion monitoring method. Summary of the Invention

[0004] In order to improve the accuracy in the intelligent infusion monitoring process and thus reduce the work pressure of relevant medical staff, the present application provides an intelligent infusion monitoring method, an electronic device, a medium, and a program product.

[0005] In a first aspect, the present application provides an intelligent infusion monitoring method, adopting the following technical solution:

[0006] An intelligent infusion monitoring method includes:

[0007] Obtain drug information, infusion information, and patient information, where the drug information includes the total amount of the drug to be infused, and the infusion information includes the start time of the infusion and the infusion drip rate;

[0008] Determine the amount of the drug that has been infused based on the infusion information, and determine the remaining amount of the drug according to the amount of the drug that has been infused and the total amount of the drug to be infused;

[0009] When the remaining amount of the drug is lower than a preset standard amount of the drug, generate a prompt message based on the remaining amount of the drug and the patient information;

[0010] If no response information is received within a preset time period, determine the closing time of the infusion clamp according to the infusion drip rate and the remaining amount of the drug, and generate a closing instruction based on the closing time.

[0011] By adopting the above technical solution, it is convenient to accurately monitor the infusion situation of patients through drug information and infusion information. When the remaining drug amount is monitored to be low, a prompt message can be generated to prompt relevant medical staff or family members to pay attention to the infusion situation, reducing the medical risks caused by the exhaustion of drugs. If, after the prompt message is generated, relevant medical staff or family members cannot take measures immediately, the opening and closing state of the infusion clamp can be intelligently intervened based on the remaining drug amount, thereby facilitating the reduction of the adverse effects on the patient's health caused by air being delivered into the patient's body after the drugs are exhausted or by blood reflux. Automatic monitoring, early warning, and intervention are realized throughout the patient's infusion process, without the need for relevant medical staff to closely monitor the patient's infusion situation at all times. This is convenient for improving the accuracy during the intelligent infusion monitoring process and also for reducing the work pressure of relevant medical staff.

[0012] In a possible implementation manner, when the drug information contains a preset drug feature, the method further includes:

[0013] Identify the drugs to be infused included in the drug information and the total amount of each drug to be infused, and determine the infusion number corresponding to each drug to be infused;

[0014] Obtain an infusion strategy, identify the infusion time period and infusion volume of each drug to be infused in the infusion strategy, and determine the infusion instruction for each drug to be infused based on the infusion time period and infusion volume of each drug to be infused;

[0015] Allocate an infusion clamp for each drug to be infused based on the infusion number of each drug to be infused, and the clamp number of each infusion clamp corresponds to the infusion number;

[0016] Adjust the opening and closing state of the corresponding infusion clamp based on the infusion instruction of each drug to be infused.

[0017] By adopting the above technical solution, the infusion instruction for the infusion clamp corresponding to each drug to be infused is formulated through the infusion time period and infusion volume of each drug to be infused, which is convenient for ensuring that each drug to be infused is completed within the corresponding time period. In addition, for relatively complex infusion strategies, the number of times of manually replacing infusion drugs is reduced, and the accuracy and infusion efficiency during the infusion process are improved by reducing manual operations.

[0018] In a possible implementation manner, when the patient information contains a first preset disease feature, the method further includes:

[0019] Real-time obtain the physical sign information of the patient during the infusion process, where the physical sign information includes physical sign features and the physical sign values corresponding to each physical sign feature, and the physical sign features include blood pressure, respiration, and body temperature;

[0020] Write the real-time acquired vital signs information into the pre-buffer, and record the writing time of the first vital signs information. When the duration corresponding between the writing time and the current time is the duration corresponding to the second preset time period, determine the change rate of each vital signs feature value at each moment within the second preset time period according to the vital signs information acquired within the second preset time period;

[0021] Based on the change rate of each vital signs feature value at each moment within the second preset time period, determine the writing strategy for the vital signs information corresponding to the second preset time period. The writing strategy includes the temporary storage area corresponding to each vital signs feature and the upload frequency of each temporary storage area;

[0022] Store the vital signs information corresponding to the second preset time period based on the writing strategy;

[0023] When an abnormal transmission feature is detected, directly upload the vital signs information in each temporary storage area and the pre-buffer.

[0024] By adopting the above technical solution, when the patient information contains the first preset disease feature, by analyzing and storing the real-time vital signs information generated by the patient during the infusion process, it is convenient for relevant medical staff to understand the patient's response to the treatment plan, and it is also convenient for relevant medical staff to adjust the treatment plan in a timely manner according to the recorded content. In addition, before storing the acquired vital signs information, the vital signs information is first written into the temporary storage area and then uploaded according to the upload frequency, which is convenient for reducing the real-time processing pressure during the data transmission process. In addition, by determining the change situation of the feature values corresponding to each vital signs feature within the preset time period, the temporary storage area of each vital signs feature is determined, and the upload is carried out according to the upload frequency corresponding to each temporary storage area, rather than uploading all vital signs information at a unified upload frequency, which is convenient for relevant medical staff to determine the key attention information according to the upload frequency, so as to improve the accuracy of the medical resource allocation process. Finally, by directly storing the vital signs information when an abnormal transmission situation is detected, ignoring the writing strategy, it is convenient for reducing the probability of loss of vital signs information when an abnormal transmission situation occurs.

[0025] In a possible implementation manner, when the patient information contains the second preset disease feature, the method further includes:

[0026] Acquire the vital signs information of the patient corresponding to the patient information, and determine the simulated image of the patient based on the vital signs information and the patient information;

[0027] Drive the simulated image based on the infusion information to perform simulated infusion, and obtain simulated venous data;

[0028] When abnormal data features appear in the simulated venous data, an abnormal warning signal is generated based on the abnormal data features.

[0029] By adopting the above technical solution, the simulated infusion is driven by infusion information to facilitate the real simulation of various situations during the actual infusion process of patients, including the influence of factors such as infusion speed, drug concentration, and drug type on the patient's physiological parameters, so as to facilitate the understanding of the patient's infusion process. During the simulated infusion process, the simulated venous data can be monitored in real time, and an abnormal warning signal is generated when abnormal data features appear. Timely warning facilitates the timely discovery of potential medical risks that patients may face during the infusion process.

[0030] In a possible implementation manner, the step of generating an abnormal warning signal based on the abnormal data features when the abnormal data features appear in the simulated venous data includes:

[0031] Determine the pulse difference between the abnormal data features and the preset standard venous pressure range value according to the preset standard venous pressure range value, and determine the first abnormal value corresponding to the pulse difference based on the pulse difference and the first preset relationship, where the first preset relationship is the corresponding relationship between the pulse difference and the first abnormal value;

[0032] Obtain the change value of the abnormal data features at each moment within the third preset time period, determine the abnormal duration during which the abnormal data features exceed the preset standard venous pressure range value based on each change value, and determine the second abnormal value corresponding to the abnormal duration based on the abnormal duration and the second preset relationship, where the second preset relationship is the corresponding relationship between the abnormal duration and the second abnormal value;

[0033] Determine the abnormal level based on the first abnormal value and the second abnormal value, and generate an abnormal warning signal based on the abnormal level.

[0034] By adopting the above technical solution, by calculating the pulse difference and abnormal duration corresponding to the simulated venous data, and determining the first abnormal value and the second abnormal value according to the preset corresponding relationship, it is convenient to quantify the abnormal degree of the abnormal data features, facilitate relevant medical staff to more intuitively understand the severity of the abnormal situation, and thus take corresponding abnormal handling measures. In addition, determining the warning method based on the abnormal degree facilitates relevant medical staff to reasonably allocate medical resources according to the abnormal warning signal and improve medical efficiency.

[0035] In a possible implementation manner, the method further includes: when it is monitored that the infusion clamp is subjected to an external interference operation by an interfering person within a preset control time period, obtain the personal characteristics of the interfering person, and verify whether the interfering person can perform external regulation on the infusion clamp based on the personal characteristics;

[0036] If so, obtain the interference parameter corresponding to the external force interference operation, and determine the predicted interference sign data of the patient based on the interference parameter and the simulated image corresponding to the patient;

[0037] Obtain the real-time sign data of the patient at the current moment, match the real-time sign data with the predicted interference sign data, and determine the sign matching value;

[0038] When the sign matching value is lower than the preset standard matching value, generate a request confirmation instruction and feedback the request confirmation instruction to the relevant responsible doctor corresponding to the patient;

[0039] When receiving the confirmation feedback, adjust the infusion clamp according to the interference parameter.

[0040] By adopting the above technical solutions, it is possible to monitor whether the infusion clamp is subjected to external force interference, so as to timely detect abnormal situations, thereby facilitating ensuring the safety and stability during the patient's infusion process. In addition, by identifying the personal characteristics of the interfering person to verify whether the interference behavior is compliant, it is possible to reduce the probability of misoperation when adjusting the infusion clamp. Furthermore, by matching the change in the sign data of the patient after the interference operation with the sign data corresponding to the current moment, it is possible to predict the potential impact of the interference operation on the patient's physical condition. When it is predicted that the interference operation may cause abnormal sign data of the patient, by automatically generating a request confirmation instruction and feeding it back to the relevant responsible doctor, it is convenient for the relevant doctor to timely understand the situation and make a decision, improving the response speed and accuracy of medical services.

[0041] In a second aspect, the present application provides an electronic device, adopting the following technical solution:

[0042] An electronic device, the electronic device includes:

[0043] At least one processor;

[0044] A memory;

[0045] At least one application program, wherein the at least one application program is stored in the memory and is configured to be executed by at least one processor, and the at least one application program is configured to: execute the above intelligent infusion monitoring method.

[0046] In a third aspect, the present application provides a computer-readable storage medium, adopting the following technical solution:

[0047] A computer-readable storage medium, including: a computer program stored therein that can be loaded and executed by a processor to execute the above intelligent infusion monitoring method.

[0048] Fourthly, the present application provides a computer program product, adopting the following technical solution:

[0049] A computer program product includes a computer program, and when the computer program is executed by a processor, the above-mentioned intelligent infusion monitoring method is implemented.

[0050] In summary, the present application includes at least one of the following beneficial technical effects:

[0051] It is convenient to accurately monitor the patient's infusion situation through drug information and infusion information. When it is detected that the remaining drug amount is low, a prompt message can be generated to prompt relevant medical staff or family members to pay attention to the infusion situation, reducing the medical risk caused by the exhaustion of drugs. If relevant medical staff or family members cannot take measures in a timely manner after the prompt message is generated, the opening and closing state of the infusion clamp can be intelligently intervened based on the remaining drug amount, thus facilitating the reduction of the adverse effects on the patient's health caused by air being transported into the patient's body after the drugs are exhausted or blood reflux. Automatic monitoring, early warning, and intervention are realized throughout the patient's infusion process, without the need for relevant medical staff to constantly monitor the patient's infusion situation. This is convenient for improving the accuracy in the intelligent infusion monitoring process and also for reducing the work pressure of relevant medical staff.

[0052] Driving a simulated image to perform simulated infusion based on infusion information is convenient for truly simulating various situations during the actual infusion process of the patient, including the influence of factors such as infusion speed, drug concentration, and drug type on the patient's physiological parameters, so as to facilitate the understanding of the patient's infusion process. During the simulated infusion process, the simulated venous data can be monitored in real time, and an abnormal warning signal can be generated when abnormal data characteristics appear. Timely warning is convenient for timely discovering potential medical risks that the patient may face during the infusion process. Description of the Drawings

[0053] Figure 1 is a schematic flowchart of an intelligent infusion monitoring method in an embodiment of the present application;

[0054] Figure 2 is a schematic flowchart of an information storage method in an embodiment of the present application;

[0055] Figure 3 is a schematic structural diagram of an electronic device in an embodiment of the present application. Detailed Embodiments

[0056] The following further elaborates on the present application in conjunction with the attached Figures 1-3 for a more detailed description.

[0057] After reading this specification, those skilled in the art can make modifications to this embodiment without creative contributions as needed, but as long as they are within the scope of the claims of this application, they are protected by the patent law.

[0058] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the following will clearly and completely describe the technical solutions in the embodiments of this application with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are some, but not all, of the embodiments of this application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this application without making creative efforts fall within the scope of protection of this application.

[0059] It should be noted that in the alternative embodiments of this application, for relevant data such as object information, when the embodiments in this application are applied to specific products or technologies, object permission or consent needs to be obtained, and the collection, use, and processing of relevant data need to comply with the relevant laws, regulations, and standards of relevant countries and regions. That is to say, if the embodiments in this application involve data related to an object, it needs to be obtained under the authorization and consent of the object, the authorization and consent of relevant departments, and compliance with the relevant laws, regulations, and standards of the country and region. In the embodiments, if personal information is involved, the acquisition of all personal information needs to obtain the consent of the individual. If sensitive information is involved, the separate consent of the information subject needs to be obtained, and the embodiments also need to be implemented under the authorization and consent of the object.

[0060] Specifically, the embodiments of this application provide an intelligent infusion monitoring method, which is executed by an electronic device. The electronic device can be a server or a terminal device. Among them, the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected through wired or wireless communication methods, and this application does not limit this here.

[0061] Refer to Figure 1 , Figure 1 is a schematic flowchart of an intelligent infusion monitoring method in the embodiments of this application. The method includes steps S110 - S140, where:

[0062] Step S110: Obtain drug information, infusion information, and patient information. The drug information includes the total amount of the drug to be infused, and the infusion information includes the start time of the infusion and the infusion drip rate.

[0063] Specifically, the drug information includes at least one drug to be infused and the total amount of each drug to be infused. For example, the drug to be infused can be a glucose solution, and the total amount of the drug to be infused is 500 milliliters. The specific drug information is determined by relevant medical staff according to the actual condition of the patient. After determination, it can be uploaded to the electronic device by relevant medical staff, and the specific content is not specifically limited in the embodiments of the present application. Different drugs to be infused have different suitable infusion drip rates, and different patients also have different infusion drip rates for the same drug to be infused. Specifically, it can be determined by relevant medical staff according to the actual situation of the patient and uploaded to the electronic device by relevant medical staff after determination. The patient information includes the patient's personal basic information and pathological information. Among them, the personal basic information can include the patient's name, age, gender, medical record number, or bed number, etc. The specific content of the personal basis corresponding to different patients is not specifically limited in the embodiments of the present application, as long as it can be used to distinguish different patients.

[0064] Step S120: Determine the amount of the infused drug based on the infusion information, and determine the remaining drug amount according to the amount of the infused drug and the total amount of the drug to be infused.

[0065] Specifically, when determining the amount of the infused drug according to the infusion information, the infusion duration can be determined based on the current time and the start time of the infusion. The infusion drip rate is used to characterize the speed at which the drug to be infused enters the patient's body through the infusion set. After calculation, the unit input amount corresponding to the infusion drip rate per unit time can be determined, and then the amount of the infused drug corresponding to the infusion duration can be determined based on the infusion duration. The difference between the total amount of the drug to be infused and the amount of the infused drug is the remaining drug amount.

[0066] Step S130: When the remaining drug amount is lower than the preset standard drug amount, generate a prompt message based on the remaining drug amount and the patient information.

[0067] Specifically, the specific content of the preset standard drug amount is not specifically limited in the embodiments of the present application. The less the preset standard drug amount is, the faster the response speed after generating the prompt message needs to be. Taking the remaining drug amount of 80 milliliters, the adult's drip rate of 40 drops per minute, and each drop corresponding to 1 milliliter of drug amount as an example, the infusion duration corresponding to 80 milliliters of drug amount is 2 minutes. That is, after generating the prompt message, relevant medical staff need to respond and process this prompt message within 2 minutes. If it exceeds 2 minutes, situations such as blood reflux may occur to the patient.

[0068] After determining the remaining drug amount, compare the remaining drug amount with the preset standard drug amount. When the remaining drug amount is lower than the preset standard drug amount, the remaining infusion duration can be determined based on the remaining drug amount and the infusion information, and a prompt message is generated based on the remaining drug amount, the remaining infusion duration, and the patient information. The generated prompt message can be in the form of a broadcast or in text form. The specific form is not specifically limited in the embodiments of the present application, as long as it can remind the relevant medical staff to respond to the prompt message in a timely manner.

[0069] Step S140: If no response information is received within the first preset time period, determine the closing moment of the infusion clamp according to the infusion drip rate and the remaining drug amount, and generate a closing instruction based on the closing moment.

[0070] Specifically, the first preset time period can be a fixed value. For example, the first preset time period is 30 seconds after generating the prompt message, or it can be 35 seconds after generating the prompt message. It can also be a variable value. For example, the duration corresponding to the first preset time period can be 30% of the remaining infusion duration. When the remaining infusion duration is 2 minutes, the corresponding first preset time period can be 36 seconds after generating the prompt message.

[0071] If the relevant medical staff does not send a response signal within the first preset time period, that is, the electronic device does not receive the response information within the first preset time period, a closing instruction will be generated. The electronic device can communicate with the infusion clamp, and the electronic device can transmit the generated closing instruction to the infusion clamp. The closing instruction contains the closing moment and is used to control the corresponding infusion clamp to close at the closing moment. If the infusion clamp is not closed in time after the remaining drug amount is finished, then the space originally occupied by the drug to be infused will be filled with air. At this time, since the infusion clamp is not closed, an open channel is formed between the space filled with air and the patient's blood vessel. In this case, due to the action of gravity and pressure difference, the air may enter the patient's venous system along the infusion tube, which may pose a safety hazard to the patient. Therefore, when no response information is received within the first preset time period, it is necessary to generate a closing instruction in time to reduce the probability of air entering the patient's venous system.

[0072] For the embodiments of the present application, the infusion situation of patients can be accurately monitored through drug information and infusion information. When the remaining drug amount is monitored to be low, a prompt message can be generated to prompt relevant medical staff or family members to pay attention to the infusion situation, reducing the medical risks caused by the exhaustion of drugs. If, after the prompt message is generated, the relevant medical staff or family members cannot take measures immediately, the opening and closing state of the infusion clamp can be intelligently intervened based on the remaining drug amount, thereby facilitating the reduction of the adverse effects on the patient's health caused by the air being delivered into the patient's body after the drugs are exhausted or by blood reflux. Automatic monitoring, early warning, and intervention are achieved throughout the patient's infusion process, without the need for relevant medical staff to constantly monitor the patient's infusion situation. This not only facilitates improving the accuracy in the intelligent infusion monitoring process but also helps reduce the work pressure of relevant medical staff.

[0073] Further, when the drug information contains preset drug characteristics, the method provided by the present application further includes:

[0074] Identifying the drugs to be infused included in the drug information and the total amount of each drug to be infused, and determining the infusion number corresponding to each drug to be infused; obtaining an infusion strategy, identifying the infusion time period and infusion volume of each drug to be infused in the infusion strategy, and determining the infusion instruction for each drug to be infused based on the infusion time period and infusion volume of each drug to be infused; allocating an infusion clamp for each drug to be infused based on the infusion number of each drug to be infused, and the clamp number of each infusion clamp corresponding to the infusion number; adjusting the opening and closing state of the corresponding infusion clamp based on the infusion instruction of each drug to be infused.

[0075] Specifically, when the number of drugs to be infused included in the drug information is higher than a preset number, it indicates that the drug information contains preset drug characteristics, where the preset number can be 3 or 5, and the specific number is not specifically limited in the embodiments of the present application. It can be determined whether the drug information contains preset drug characteristics by identifying the number of drugs to be infused included in the drug information. When the drug information contains preset drug characteristics, number each drug to be infused included in the drug information, and different drugs to be infused correspond to different infusion numbers. The infusion strategy can be uploaded to the electronic device by relevant medical staff. The infusion strategy includes the infusion time period of each drug to be infused and the infusion volume corresponding to each infusion time period. The drip rate corresponding to the infusion time period can be determined according to the duration and infusion volume of the infusion time period. An infusion instruction is generated based on the infusion time period, infusion volume, and drip rate of each drug to be infused, and the infusion instructions corresponding to each drug to be infused are different, that is, the infusion instructions corresponding to different infusion numbers are different.

[0076] When the drug information contains preset drug characteristics, an infusion tube needs to be allocated for each drug to be infused. An infusion clamp is provided on each infusion tube. For the convenience of distinction and management, each infusion clamp is also set with a clamp number, and the clamp number corresponds to the infusion number. For example, if the infusion number is S01, the corresponding clamp number is J01. Multiple infusion tubes are connected to a liquid storage tank, that is, multiple infusion tubes all infuse the patient through a liquid storage tank.

[0077] Since different drugs to be infused have different effects at different times, and there may also be mutual influences between different drugs to be infused, the infusion strategy may include sequential infusion or mixed infusion. For example, first infuse the drug to be infused a with an infusion volume of 500 ml; then infuse the drug to be infused b and the drug to be infused c, each with an infusion volume of 300 ml; then infuse the drug to be infused a with an infusion volume of 200 ml. During the infusion process, the infusion clamps corresponding to the drug to be infused b and the drug to be infused c can be closed first. After the drug to be infused a has been injected with 500 ml, control the infusion clamp corresponding to the drug to be infused a to close, and at the same time control the infusion clamps corresponding to the drug to be infused b and the drug to be infused c to open. When more than one infusion clamp is opened simultaneously, it is necessary to monitor the drug content in the liquid storage tank in real time, and adjust the opening degree of the infusion clamps corresponding to the drug to be infused b and the drug to be infused c based on the drug content in the liquid storage tank. The specific adjustment process is not specifically limited in the embodiments of the present application, as long as it is ensured that the drug content in the liquid storage tank does not exceed the preset standard drug content. Once it exceeds the preset standard drug content, it may cause a greater pressure on the patient's venous system. Therefore, it is necessary to adaptively adjust the opening degree of the infusion clamp according to the drug content in the liquid storage tank. After the drug to be infused b and the drug to be infused c are completely infused, control the infusion clamps corresponding to the drug to be infused b and the drug to be infused c to close, and reopen the infusion clamp corresponding to the drug to be infused a until the drug to be infused a is completely infused. Control the corresponding infusion clamp to open and close according to each infusion instruction, so as to facilitate the flexible switching between the sequential infusion and mixed infusion modes. In addition, for a relatively complex infusion strategy, the number of times of manually replacing the infusion drug is reduced, and the accuracy and infusion efficiency during the infusion process are improved by reducing manual operations.

[0078] Further, when the patient information contains the first preset disease characteristics, the method provided by the present application further includes steps S1 - S5, as Figure 2 shown, where:

[0079] Step S1: Real-time obtain the physical sign information of the patient during the infusion process. The physical sign information includes physical sign characteristics and the physical sign values corresponding to each physical sign characteristic, where the physical sign characteristics include blood pressure, respiration, and body temperature.

[0080] Specifically, the first preset disease characteristics are used to characterize that the patient is a concerned patient. A concerned patient may have characteristics such as advanced age or low age. For example, patients over 65 years old or patients under 5 years old. The specific content of the first preset disease characteristics is not specifically limited in the embodiments of the present application and can be replaced or adjusted by relevant technical personnel according to actual needs. When it is monitored that the patient information contains the first preset disease characteristics, it indicates that it is necessary to record the patient's reaction in real time during the patient's infusion to prevent abnormal situations from occurring during the infusion. The physical sign information of the patient at least includes blood pressure, respiration, and body temperature. Among them, the physical sign characteristics can be collected by the corresponding physical sign collection device and uploaded to the electronic device. The specific content of the physical sign information is not specifically limited in the embodiments of the present application as long as it can reflect the patient's reaction to the infusion process.

[0081] Step S2: Write the real-time obtained physical sign information into the pre-buffer and record the writing time of the first physical sign information. When the duration corresponding to the writing time and the current time is the duration corresponding to the second preset time period, determine the change rate of each physical sign value at each moment within the second preset time period according to the physical sign information obtained within the second preset time period.

[0082] Specifically, the collected physical sign information needs to be stored and archived so that relevant medical staff can adjust the patient's treatment plan. Since there are many patients and the infusion time is long, the amount of physical sign information data to be collected is large. To reduce the data transmission pressure, before storing and archiving the collected physical sign information, it is necessary to preprocess the physical sign information to reduce the invalid physical sign information, thereby reducing the data transmission pressure. A pre-buffer can be established temporarily, and the collected physical sign information is directly written into the pre-buffer. Data preprocessing of the physical sign information is performed in the pre-buffer. The preprocessing operations include but are not limited to weight reduction and noise reduction of the collected physical sign information.

[0083] To improve the accuracy during storage so that relevant medical staff can conveniently access the physical sign information, after preprocessing the collected physical sign information, the key physical sign information that needs to be concerned can also be determined from a large amount of physical sign information according to the change situation of the collected physical sign information within the preset time period. The duration corresponding to the second preset time period can be 10 minutes or 15 minutes. The specific duration is not specifically limited in the embodiments of the present application and can be set by relevant technical personnel according to actual needs. When the duration between the writing time of the first physical sign information and the current time is the same as the duration corresponding to the second preset time period, it indicates that the change rate analysis of the physical sign information written into the pre-buffer can be performed. The process of calculating the change rate of the physical sign information corresponding to the second preset time period is not elaborated in the embodiments of the present application.

[0084] Since the physical sign information contains multiple physical sign features, and the calculation rules and units corresponding to different physical sign features are different, in order to facilitate the analysis and comparison of multiple physical sign features, during the analysis of the change rate of the physical sign information corresponding to the second preset time period, it is necessary to perform normalization processing on multiple physical sign features. When analyzing the change rate of the physical sign information corresponding to the second preset time period, the physical sign information written into the pre-buffer area at the next moment is the first physical sign information, and the next moment is the writing moment of this first physical sign information.

[0085] Step S3: Based on the change rate of each physical sign feature value at each moment within the second preset time period, determine the writing strategy for the physical sign information corresponding to the second preset time period. The writing strategy includes the temporary storage area corresponding to each physical sign feature and the upload frequency of each temporary storage area.

[0086] Step S4: Store the physical sign information corresponding to the second preset time period based on the writing strategy.

[0087] Specifically, the faster the change rate indicates that the patient has a greater reaction to the treatment plan during the infusion process. In the corresponding writing strategy, the higher the upload frequency of storing and archiving the data. The writing areas corresponding to different physical sign features may also be different. The writing area of the physical sign feature is related to the change rate of the physical sign feature. Among them, in order to facilitate relevant medical staff to quickly locate the key attention area, based on the change rate of each physical sign feature value at each moment within the second preset time period, determine the writing strategy for the physical sign information corresponding to the second preset time period, including:

[0088] Based on the patient information, determine the physical sign standard range corresponding to each physical sign feature within the second preset time period.

[0089] Specifically, the physical sign standard range is the standard fluctuation range of the corresponding physical sign value. That is, when the physical sign feature value fluctuates within the improvement standard range, the patient will not have discomfort reactions. However, since the physical states of each patient are different, therefore, when determining the physical sign standard range corresponding to each physical sign feature, it is necessary to determine it based on the patient information. For example, when the physical sign feature includes the pulse, the pulse of patient a remains at 60 - 100 times per minute during the infusion process, which is a normal state. That is, for patient a, the physical sign standard range corresponding to the pulse physical sign feature is 60 - 100 times per minute; while the pulse of patient b remains at 55 - 60 times per minute during the infusion process, which is a normal state. That is, for patient b, the physical sign standard range corresponding to the pulse physical sign feature is 55 - 60 times per minute. The physical sign standard ranges of each physical sign feature corresponding to different patient information can be determined by relevant medical staff according to historical experience and then uploaded to the electronic device.

[0090] Based on each physical sign standard range, determine the change type of each physical sign feature, and based on each change type, determine the temporary storage area of each physical sign feature. The change types include a stable type and an abnormal type.

[0091] Specifically, the temporary storage areas corresponding to different change types are different. For example, when the change type is the stable type, the corresponding temporary storage area is Area A; when the change type is the abnormal type, the corresponding temporary storage area is Area B. Among them, the upload rate frequencies corresponding to different temporary storage areas are different. The upload frequency corresponding to the temporary area with the stable change type is lower than the upload frequency corresponding to the temporary area with the abnormal change type.

[0092] When determining the change type of a physical sign feature based on any physical sign standard range, the physical sign standard range can be imported into a preset coordinate system, and the physical sign values corresponding to the physical sign feature at each moment within the second preset time period are imported into this preset coordinate system. If the number of abnormal moments is higher than the preset abnormal threshold, it indicates that the change type corresponding to this physical sign feature is the abnormal type, where an abnormal moment is a moment when the feature value exceeds the physical sign standard range. The preset abnormal threshold can be 5 or 8. The specific value is not specifically limited in the embodiments of this application.

[0093] Based on the change rate of each physical sign feature at each moment within the second preset time period in each temporary storage area, determine the average change rate corresponding to each temporary storage area, and based on each average change rate and frequency mapping relationship, determine the upload frequency of the corresponding temporary storage area. The frequency mapping relationship is the corresponding relationship between the average change rate and the upload frequency.

[0094] Specifically, after determining the temporary storage area corresponding to each physical sign feature, write the corresponding physical sign feature according to the determined temporary storage area. When there are two or more physical sign features in the temporary storage area, the average change rate of the temporary storage area can be determined according to the change rate of each physical sign feature within the second preset time period. Since all physical sign features have been normalized when determining the change rate of each physical sign feature, the average change rate corresponding to each temporary storage area can be determined based on the change rate of each physical sign feature at each moment within the second preset time period in each temporary storage area. The upload frequencies corresponding to different average change rates are different. According to the frequency mapping relationship, the upload frequency corresponding to any average change rate can be determined. The specific content of the frequency mapping relationship is not specifically limited in the embodiments of this application.

[0095] Based on the temporary storage area of each physical sign feature and the upload frequency of each temporary storage area in the physical sign information corresponding to the second preset time period, generate a write strategy for the physical sign information.

[0096] Specifically, since the physical sign information contains multiple physical sign features, the temporary storage areas corresponding to each physical sign feature and the upload frequencies corresponding to the temporary storage areas are integrated to obtain a writing strategy for the physical sign information. By uniformly analyzing the change rates of multiple physical sign features in each temporary storage area, and then determining the upload frequency corresponding to each temporary storage area based on the analysis results, it is convenient to improve the adaptability between each physical sign feature in the temporary storage area and the upload frequency. By setting different upload frequencies for different temporary storage areas, it is convenient for relevant medical staff to quickly locate the key attention areas, so as to facilitate the timely discovery of medical risks during the infusion process.

[0097] Step S5: When an abnormal transmission feature is detected, directly upload the physical sign information in each temporary storage area and the pre-buffer area.

[0098] Specifically, the abnormal transmission feature can be abnormal power-off, or the infusion device is detected to have an accidental shake, etc. Among them, the infusion device includes an infusion tube, an infusion clamp tube, a liquid storage tank, etc. A motion sensor is also set on the infusion device. Once an abnormal device motion is detected, the motion sensor will immediately trigger an emergency data storage mechanism, that is, ignore the writing strategy and directly upload the physical sign information in each temporary storage area and the pre-buffer area, so as to reduce the probability of loss of physical sign information in the event of an abnormal transmission situation.

[0099] Furthermore, when the patient information contains a second preset disease feature, it further includes:

[0100] Obtain the physical sign information of the patient corresponding to the patient information, and based on the physical sign information and the patient information, determine the simulated image of the patient; drive the simulated image based on the infusion information to perform simulated infusion, and obtain simulated venous data; when abnormal data features appear in the simulated venous data, generate an abnormal warning signal based on the abnormal data features.

[0101] Specifically, the second preset disease feature is used to characterize that the patient is an intensive care patient. For intensive care patients, the supervision of the infusion process is crucial because the infusion process may directly affect the patient's treatment effect or life and health. Among them, when determining the simulated image of the patient based on the patient's physical sign information and patient information, the patient can be scanned three-dimensionally for the whole body or specific parts first to obtain the patient's appearance data and body shape data. After determining the initial simulated image of the patient based on the obtained appearance data and body shape data, then construct a virtual physiological human model of the patient based on the patient's physical sign information. Among them, the virtual physiological human model can include the physiological mechanisms of the patient's human cells, tissues, organs, and systems, and can simulate various physiological functions and pathological changes of the human body. After combining the initial simulated image with the virtual physiological human image, the simulated image of the patient can be obtained.

[0102] Taking the drip rate included in the infusion information and the drug to be infused included in the drug information as the input parameters of the simulation image, driving the simulation image to perform an infusion simulation. The simulation image can be personalized according to the specific physiological parameters and disease states of the patient, so as to more accurately simulate the impact of the infusion process on the patient, help predict the responses and effects of individual patients, and provide more accurate guidance for clinical treatment. By recording and analyzing the simulated venous data during the simulated infusion process, it is convenient for relevant medical staff to evaluate the feasibility of the treatment plan. Once abnormal data characteristics are found during the simulated infusion process, an abnormal warning signal can be generated in a timely manner to remind relevant medical staff to optimize and adjust the treatment plan. The abnormal data characteristics are the simulated venous pressure values in the simulated venous data that exceed the preset standard venous pressure range value. The specific values of the preset venous pressure range are not specifically limited in the embodiments of the present application and can be set by relevant medical staff according to the actual situation of the patient and then uploaded to the electronic device.

[0103] Further, in order to improve the abnormal response rate, when abnormal data characteristics appear in the simulated venous data, generating an abnormal warning signal based on the abnormal data characteristics may specifically include:

[0104] Determining the pulse difference value between the abnormal data characteristics and the preset standard venous pressure range value according to the preset standard venous pressure range value, and determining the first abnormal value corresponding to the pulse difference value based on the pulse difference value and the first preset relationship, where the first preset relationship is the corresponding relationship between the pulse difference value and the first abnormal value; obtaining the change value of the abnormal data characteristics at each moment within the third preset time period, determining the abnormal duration during which the abnormal data characteristics exceed the preset standard venous pressure range value based on each change value, and determining the second abnormal value corresponding to the abnormal duration based on the abnormal duration and the second preset relationship, where the second preset relationship is the corresponding relationship between the abnormal duration and the second abnormal value; determining the abnormal level based on the first abnormal value and the second abnormal value, and generating an abnormal warning signal based on the abnormal level.

[0105] Specifically, since the abnormal data feature is the simulated venous pressure value that exceeds the preset standard venous pressure range value, that is, this abnormal data feature may be higher than the maximum value of the preset standard venous pressure range value or lower than the minimum value of the preset standard venous pressure range value. For the convenience of calculation and analysis, when determining the pulse difference value of the abnormal data feature, if the abnormal data feature is higher than the maximum value of the preset standard venous pressure range value, the pulse difference value is the difference between the maximum value of the preset standard venous pressure range value and the simulated venous pressure value corresponding to the abnormal data feature; if the abnormal data feature is lower than the minimum value of the preset standard venous pressure range value, the pulse difference value is the absolute value of the difference between the maximum value of the preset standard venous pressure range value and the simulated venous pressure value corresponding to the abnormal data feature. That is, the pulse difference value is a positive number. The larger the pulse difference value, the greater the gap between the simulated venous pressure value and the preset standard venous pressure range value, and the corresponding first abnormal value is larger. The first preset relationship is the corresponding relationship between the pulse difference value and the first abnormal value. Based on the first preset relationship, the first abnormal value corresponding to any pulse difference value can be determined. The specific content of the first preset relationship is not specifically limited in the embodiments of the present application.

[0106] The third preset time period is 2 minutes or 3 minutes after the abnormal data feature is determined. The corresponding duration of the third preset time period is not specifically limited in the embodiments of the present application. Obtain the change value corresponding to each moment of the abnormal data feature within the third preset time period. Based on each change value, the actual feature value of the abnormal data feature within the third preset time period can be determined. Compare the actual feature value with the preset standard venous pressure range value to determine the duration during which the actual feature value exceeds the preset standard venous pressure range value within the third preset time period, that is, the abnormal duration. The longer the abnormal duration, the higher the corresponding second abnormal value. The second preset relationship includes different abnormal durations and the corresponding second abnormal values. The specific content of the second preset relationship is not specifically limited in the embodiments of the present application.

[0107] Finally, determine the total abnormal value based on the first abnormal value and the second abnormal value. The higher the total abnormal value, the higher the corresponding abnormal level. The corresponding relationship between the total abnormal value and the abnormal level can be determined by relevant staff based on historical data and then uploaded to the electronic device. The specific content of this corresponding relationship is not specifically limited in the embodiments of the present application. Determine the warning method based on the degree of abnormality, which is convenient for relevant medical staff to reasonably allocate medical resources according to the abnormal warning signal and improve medical efficiency.

[0108] Furthermore, the method provided in the embodiments of the present application further includes:

[0109] When it is monitored that the infusion clamp is subjected to an external interference operation by an interfering person during the preset control time period, obtain the personal characteristics of the interfering person, and verify whether the interfering person can perform an external adjustment on the infusion clamp based on the personal characteristics.

[0110] Specifically, the preset control time period is the time period for monitoring the patient's infusion process according to the intelligent infusion monitoring method. The duration corresponding to the preset control time period can be 30 minutes, 1 hour, or 2 hours. The specific duration is not specifically limited in the embodiments of the present application and can be set by relevant technical personnel. If it is detected during the preset control time period that a relevant person touches or impacts the infusion tube clamp, then this person can be identified as an interfering person, and the external force interference operation is the regulation operation performed by the interfering person on the infusion tube clamp, including but not limited to adjusting the drip rate, replacing the infusion drug, etc., which can be collected by a sensor arranged at the infusion tube clamp and the collection result is uploaded to an electronic device.

[0111] When identifying the personal characteristics of the interfering person, it can be collected by an image acquisition device arranged at the infusion tube clamp, and then face feature recognition is performed on the collected image based on the face feature algorithm. The personal characteristics include but are not limited to facial features and facial wall contours. Based on the personal characteristics, it is convenient to confirm the identity of the interfering person. Different identities correspond to different regulation authorities. Therefore, according to the identity of the person, it can be verified whether the interfering person has the authority to perform external force regulation on the infusion tube clamp.

[0112] If so, obtain the interference parameters corresponding to the external force interference operation, and based on the interference parameters and the simulated image corresponding to the patient, determine the predicted interference sign data of the patient.

[0113] Specifically, when the interfering person cannot perform external force regulation on the infusion tube clamp, an abnormal warning signal can be directly generated to facilitate reminding relevant staff in the surrounding environment to stop the interference behavior. When the interfering person can perform external force regulation on the infusion tube clamp, it is not directly to regulate the infusion tube clamp according to the interference parameters of the interfering person, but rather it is necessary to evaluate the possible impact of the interference parameters on the patient's physical condition.

[0114] The interference parameters include changing the drip rate and replacing the infusion drug, etc. The interference parameters are used as the input parameters of the simulated image corresponding to the patient, and the simulated image is driven to perform infusion simulation to obtain the predicted interference sign data. The method for determining the way to drive the simulated image corresponding to the patient is not elaborated here.

[0115] Obtain the real-time sign data of the patient at the current moment, match the real-time sign data with the predicted interference sign data to determine the sign matching value; when the sign matching value is lower than the preset standard matching value, generate a request confirmation instruction and feedback the request confirmation instruction to the relevant responsible doctor corresponding to the patient; when receiving the confirmation feedback, regulate the infusion tube clamp according to the interference parameters.

[0116] Specifically, the real-time vital sign data of the patient at the current moment is the vital sign data of the patient during the infusion process before the infusion clamp is regulated according to the interference parameter. The real-time vital sign data is matched with the predicted interference vital sign data. If the sign matching value is higher than the preset standard matching value, it indicates that if the infusion clamp is regulated according to the interference parameter, it will not affect the patient's physical condition; if the sign matching value is not higher than the preset standard matching value, it indicates that if the infusion clamp is regulated according to the interference parameter, it may affect the patient's physical condition. At this time, it is not appropriate to use the interference parameter to regulate the infusion clamp. Among them, the preset standard matching value can be 95% or 96%. The specific value is not specifically limited in the embodiments of the present application.

[0117] When the sign matching value is lower than the preset standard matching value, a request confirmation instruction can be automatically generated to facilitate the verification of the regulation plan by the relevant doctor. Only after receiving the confirmation feedback from the relevant doctor, will the infusion clamp be regulated according to the interference parameter, which helps to further ensure the legality and safety of the regulation operation.

[0118] In the embodiments of the present application, an electronic device is provided, such as Figure 3 shown. Figure 3 As shown, the electronic device 300 includes: a processor 301 and a memory 303. Among them, the processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 300 may further include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation to the embodiments of the present application.

[0119] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logical blocks, modules, and circuits described in connection with the disclosure of the present application. The processor 301 may also be a combination that realizes computing functions, such as a combination including one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0120] The bus 302 may include a path for transmitting information among the above components. The bus 302 can be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 302 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 only one line is shown in Figure 3 , but it does not mean that there is only one bus or one type of bus.

[0121] The memory 303 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or it can also be an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory), or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media, or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0122] The memory 303 is used to store the application program code for executing the solution of this application, and is controlled by the processor 301 for execution. The processor 301 is used to execute the application program code stored in the memory 303 to implement the content shown in the foregoing method embodiments.

[0123] Among them, the electronic device includes but is not limited to: mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), in-vehicle terminals (such as in-vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The shown electronic device is only an example and should not bring any restrictions to the functions and usage scopes of the embodiments of this application.

[0124] The embodiments of this application provide a computer-readable storage medium, on which a computer program is stored. When it runs on a computer, it enables the computer to execute the corresponding content in the foregoing method embodiments.

[0125] An embodiment of the present application provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the method in any of the above embodiments.

[0126] It should be understood that although the steps in the flowchart of the accompanying drawings are shown in sequence according to the indication of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise clearly stated in this article, there is no strict order restriction for the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0127] The above are only some embodiments of the present application. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present application, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present application.

Claims

1. An intelligent infusion monitoring method, characterized in that, Including: Obtaining drug information, infusion information, and patient information, where the drug information includes the total amount of the drug to be infused, and the infusion information includes the start time of infusion and the infusion drip rate; Determining the amount of the drug that has been infused based on the infusion information, and determining the remaining amount of the drug according to the amount of the drug that has been infused and the total amount of the drug to be infused; when the remaining amount of the drug is lower than the preset standard drug amount, generating a prompt information based on the remaining amount of the drug and the patient information; If no response information is received within the first preset time period, determining the closing time of the infusion clamp according to the infusion drip rate and the remaining amount of the drug, and generating a closing instruction based on the closing time; Wherein, when the patient information includes a second preset disease characteristic, it further includes: obtaining the physical sign information of the patient corresponding to the patient information, and determining the simulated image of the patient based on the physical sign information and the patient information; driving the simulated image based on the infusion information to perform simulated infusion, and obtaining simulated venous data; when abnormal data characteristics appear in the simulated venous data, generating an abnormal warning signal based on the abnormal data characteristics; Wherein, when it is monitored that the infusion clamp is subjected to an external interference operation by an interfering person within a preset control time period, obtaining the personal characteristics of the interfering person, and verifying whether the interfering person can perform an external regulation on the infusion clamp based on the personal characteristics; if so, obtaining the interference parameters corresponding to the external interference operation, and determining the predicted interference physical sign data of the patient based on the interference parameters and the simulated image corresponding to the patient; obtaining the real-time physical sign data of the patient at the current moment, matching the real-time physical sign data with the predicted interference physical sign data, and determining a physical sign matching value; when the physical sign matching value is lower than the preset standard matching value, generating a request confirmation instruction, and feeding back the request confirmation instruction to the relevant responsible doctor corresponding to the patient; when a confirmation feedback is received, regulating the infusion clamp according to the interference parameters.

2. The intelligent infusion monitoring method according to claim 1, wherein When the drug information includes a preset drug characteristic, it further includes: identifying the drug to be infused included in the drug information and the total amount of each drug to be infused, and determining the infusion number corresponding to each drug to be infused; obtaining an infusion strategy, identifying the infusion time period and infusion amount of each drug in the infusion strategy, and determining the infusion instruction of each drug based on the infusion time period and infusion amount of each drug; allocating an infusion clamp to each drug based on the infusion number of each drug, and the clamp number of each infusion clamp corresponds to the infusion number; adjusting the opening and closing state of the corresponding infusion clamp based on the infusion instruction of each drug.

3. The intelligent infusion monitoring method according to claim 1, characterized in that, When the patient information includes the first preset disease characteristics, it further includes: obtaining in real time the physical sign information of the patient during the infusion process, where the physical sign information includes physical sign characteristics and the corresponding physical sign values for each physical sign characteristic, and the physical sign characteristics include blood pressure, respiration, and body temperature; writing the physically sign information obtained in real time into the pre-buffer area, and recording the writing time of the first physical sign information. When the duration corresponding to the time between the writing time and the current time is the duration corresponding to the second preset time period, determine the change rate of each physical sign characteristic value at each moment within the second preset time period according to the physical sign information obtained within the second preset time period; based on the change rate of each physical sign characteristic value at each moment within the second preset time period, determine the writing strategy for the physical sign information corresponding to the second preset time period, where the writing strategy includes the temporary storage area corresponding to each physical sign characteristic and the upload frequency of each temporary storage area; store the physical sign information corresponding to the second preset time period based on the writing strategy; when an abnormal transmission characteristic is detected, directly upload the physical sign information in each temporary storage area and the pre-buffer area.

4. The intelligent infusion monitoring method according to claim 1, characterized in that When abnormal data characteristics appear in the simulated venous data, generating an abnormal warning signal based on the abnormal data characteristics includes: determining the pulse difference between the abnormal data characteristics and the preset standard venous pressure range value according to the preset standard venous pressure range value, and determining the first abnormal value corresponding to the pulse difference based on the pulse difference and the first preset relationship, where the first preset relationship is the corresponding relationship between the pulse difference and the first abnormal value; obtaining the change value of the abnormal data characteristics at each moment within the third preset time period, determining the abnormal duration during which the abnormal data characteristics exceed the preset standard venous pressure range value based on each change value, and determining the second abnormal value corresponding to the abnormal duration based on the abnormal duration and the second preset relationship, where the second preset relationship is the corresponding relationship between the abnormal duration and the second abnormal value; determining the abnormal level based on the first abnormal value and the second abnormal value, and generating an abnormal warning signal based on the abnormal level.

5. An electronic device, characterized in that, The electronic device includes: at least one processor; a memory; at least one application program, where the at least one application program is stored in the memory and is configured to be executed by the at least one processor, and the at least one application program is configured to: execute an intelligent infusion monitoring method according to any one of claims 1-4.

6. A computer-readable storage medium, characterized in that, It includes: A computer program stored that can be loaded and executed by a processor to execute an intelligent infusion monitoring method according to any one of claims 1-4.

7. A computer program product, characterized in that, It includes a computer program that, when executed by a processor, implements the steps of an intelligent infusion monitoring method according to any one of claims 1-4.

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