CN117457179A - Intelligent medical intravenous injection monitoring system and monitoring method - Google Patents
Intelligent medical intravenous injection monitoring system and monitoring method Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/14—Infusion devices, e.g. infusing by gravity; Blood infusion; Accessories therefor
- A61M5/168—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M2205/00—General characteristics of the apparatus
- A61M2205/35—Communication
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M2205/00—General characteristics of the apparatus
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Abstract
The invention discloses an intelligent medical intravenous injection monitoring system and a monitoring method, which relate to the technical field of medical intravenous injection monitoring and comprise the following steps: and acquiring multiple data information including control parameter information and real-time control feedback information when the intelligent injector performs intravenous injection in real time in a selected G time window, and transmitting the data acquired in real time to a cloud or local server for processing through a safe communication protocol after acquisition. According to the invention, the multiple data information of the intelligent injector is acquired in real time within the selected time window, the comprehensive monitoring of the intravenous injection of the intelligent injector is ensured, the generation of abnormal signals and the analysis of abnormal evaluation indexes are introduced, so that the system can automatically judge the degree of abnormality, and according to hidden danger signals of different levels, the system can automatically determine whether to continue the intravenous injection, thereby improving the automation degree of the intelligent injector, reducing the burden of medical staff and simultaneously reducing the potential risk of patients.
Description
Technical Field
The invention relates to the technical field of medical intravenous injection monitoring, in particular to an intelligent medical intravenous injection monitoring system and a monitoring method.
Background
Intravenous injection is a medical procedure that enables rapid and efficient drug delivery by injecting drugs or fluids directly into the venous system of a patient. The intelligent medical intravenous injection is a method for improving the efficiency, safety and accuracy of an intravenous injection process in the medical field by utilizing advanced technology and an intelligent system, and relates to the whole intravenous injection process, including aspects of medicine preparation, calculation of infusion amount, selection of injection equipment, monitoring of the injection process, feedback of a patient and the like.
The intelligent medical intravenous injection can be used for controlling the injection dosage of the medicine more accurately, so that the patient is ensured to obtain correct treatment, and by using the sensor and the monitoring equipment, medical staff can monitor the physiological parameters of the patient in real time, so that no abnormal condition occurs in the injection process. Based on the individual difference and the illness state characteristics of patients, the intelligent medical intravenous injection can adjust the treatment scheme to realize more personalized treatment, can reduce the hidden danger of human errors at the same time, and improves the safety of the medical process.
The intelligent injector is a part of intelligent medical intravenous injection, and can integrate advanced technology to enable the intravenous injection process to be more intelligent, accurate and safe, plays a key role in medical intravenous injection, improves the accuracy of medicine injection through automatic and intelligent functions, and reduces hidden danger of medical errors.
The intelligent injector has the capability of automatically metering the dosage of the medicine, and accurately measures and injects the medicine according to the specific condition of the patient and the prescription of the doctor. This helps to avoid overdosing or starvation of the drug due to manual dosing errors. The intelligent injector can adjust the speed of drug injection according to the doctor's advice, ensure that the drug is released gradually in suitable time, avoid discomfort or complication that rapid injection may cause, etc.
The prior art has the following defects: when intelligent medical intravenous injection is carried out, the injection precision of the intelligent injector is important, the excessive or insufficient medicine can be caused by the abnormality of the injection precision, the excessive or insufficient medicine can cause serious influence on a patient, and the following is specifically described:
if the medicine is excessive, critical adverse reactions including dyspnea, arrhythmia and nervous system damage can be induced, even life of a patient is endangered, the medicine excessive can also cause acute poisoning symptoms, damage to organ functions and serious threat to physiological health and psychological health of the patient can be caused, if the intelligent injector causes insufficient medicine, treatment effect can be hindered, rehabilitation progress can be delayed, and even the disease condition of the patient is worsened; insufficient drug dose may cause drug resistance of microorganisms to the drug, making subsequent treatment more difficult, and simultaneously, poor treatment effect may aggravate pain of patients, increase medical cost, and affect effective utilization of medical resources; therefore, ensuring the injection accuracy of the smart injector is critical to the life safety and therapeutic effectiveness of the patient.
The above information disclosed in the background section is only for enhancement of understanding of the background of the disclosure and therefore it may include information that does not form the prior art that is already known to a person of ordinary skill in the art.
Disclosure of Invention
The invention aims to provide an intelligent medical intravenous injection monitoring system and a monitoring method, which are characterized in that a plurality of data information of an intelligent injector, including control parameters and real-time control feedback information, are acquired in real time in a selected time window, the intravenous injection process can be monitored in real time, the data acquired in real time are transmitted to a cloud or a local server for processing, and an injection precision evaluation value is generated through comprehensive analysis of the control parameters and the real-time feedback information, so that decision and evaluation can be made on a higher level, the comprehensive monitoring of the intravenous injection of the intelligent injector is ensured, the generation of abnormal signals and the analysis of abnormal evaluation indexes are introduced, so that the system can automatically judge the degree of abnormality, and the system can automatically determine whether to continue intravenous injection according to hidden danger signals of different levels, thereby improving the degree of automation of the intelligent injector, reducing the burden of medical staff, and simultaneously reducing the potential risk suffered by patients, so as to solve the problems in the background technology.
In order to achieve the above object, the present invention provides the following technical solutions: an intelligent medical intravenous injection monitoring method comprises the following steps:
acquiring multiple data information including control parameter information and real-time control feedback information when the intelligent injector performs intravenous injection in real time in a selected G time window, and transmitting the data acquired in real time to a cloud or local server for processing through a safe communication protocol after acquisition;
comprehensively analyzing the control parameter information and the real-time control feedback information processed by the cloud or local server to generate an injection precision evaluation value, and evaluating the injection precision of the intelligent injector in real time when the intelligent injector is subjected to intravenous injection through the injection precision evaluation value;
comparing and analyzing an injection precision evaluation value generated when the intelligent injector performs intravenous injection with a preset injection precision evaluation value reference threshold value, and judging whether an abnormal hidden trouble exists when the intelligent injector performs intravenous injection;
when the intelligent injector performs intravenous injection and has abnormal hidden trouble, comprehensively analyzing an injection precision evaluation value generated when the intelligent injector performs intravenous injection and a preset injection precision evaluation value reference threshold value, generating an abnormal evaluation index, further judging the condition of the intelligent injector during intravenous injection through the abnormal evaluation index, and taking measures.
Preferably, the control parameter information of the intelligent injector when performing intravenous injection comprises target flow rate information, actual flow rate information, target concentration information and actual concentration information, and after the control parameter information is obtained, the target flow rate information, the actual flow rate information, the target concentration information and the actual concentration information are processed to generate flow rate control dosage deviation and concentration control dosage deviation; the real-time control feedback information of the intelligent injector during intravenous injection comprises valve control response information and valve control response reference value information, and after the valve control response information and the valve control response reference value information are acquired, the valve control response information and the valve control response reference value information are processed to generate a valve control response outlier index.
Preferably, the flow rate generated after processing at the cloud or a local server is used for controlling the dosage deviationConcentration control of dosage deviationValve control response outlier indexPerforming comprehensive analysis to generate injection precision evaluation valueThe formula according to is:
in the method, in the process of the invention,、、controlling the deviation of the dosage for the flow rate respectivelyConcentration control of dosage deviationValve control response outlier indexIs a preset proportionality coefficient of (1), and、、are all greater than 0.
Preferably, the logic for flow rate control dose bias acquisition is as follows:
S101, acquiring the real-time flow rate of the intelligent injector during intravenous injection in a selected G time window to form a time sequence, and using a function to the real-time flow rate according to the time sequenceA representation;
s102, calculating flow rate control dosage deviation, wherein the calculated expression is as follows:
in which, in the process,indicating the target flow rate,indicating the deviation of the flow rate control dosage,represents a period of time when the real-time flow rate is greater than the target flow rate when the smart injector is performing an intravenous injection,represents a period of time when the real-time flow rate is less than or equal to the target flow rate when the intelligent injector is performing intravenous injection,，。
preferably, the logic for concentration controlled drug bias acquisition is as follows:
s201, acquiring real-time concentration of the intelligent injector during intravenous injection in a selected G time window to form a time sequence, and realizingTime concentration as a function of time seriesA representation;
s202, calculating concentration control dosage deviation, wherein the calculated expression is as follows:
in which, in the process,the concentration of the target is indicated and,indicating the deviation of the concentration control dosage,represents a period of time when the real-time concentration of the intelligent injector is greater than the target concentration during intravenous injection,the time period that the real-time concentration is less than or equal to the target concentration when the intelligent injector is used for intravenous injection is represented, ，。
Preferably, the logic for valve control response outlier index acquisition is as follows:
s301, acquiring a plurality of valve control response durations generated when the intelligent injector performs intravenous injection in a selected G time window, and calibrating the valve control response durations asX represents the number of a plurality of valve control response durations generated when the intelligent injector performs intravenous injection, and x=1, 2, 3, 4, … … and m are positive integers;
s302, calculating a valve control response time length average value and a valve control response time length standard deviation through a plurality of valve control response time lengths, respectively comparing the valve control response time length average value and the valve control response time length standard deviation with a preset valve control response time length reference value and a preset standard deviation reference threshold value, and then generating a valve control response outlier index, wherein the generated logic is as follows:
if the average valve control response time length is smaller than the valve control response time length reference value and the standard deviation of the valve control response time length is smaller than the standard deviation reference threshold value, then:；
if the average valve control response time length is smaller than the reference valve control response time length and the standard deviation of the valve control response time length is larger than or equal to the reference standard deviation threshold value, then: ；
If the average valve control response time length is greater than or equal to the valve control response time length reference value and the standard deviation of the valve control response time length is greater than or equal to the standard deviation reference threshold value, then:；
if the average valve control response time length is greater than or equal to the valve control response time length reference value and the standard deviation of the valve control response time length is less than the standard deviation reference threshold value, then:；
in the method, in the process of the invention,indicating an outlier index of valve control response.
Preferably, the injection accuracy evaluation value generated when the intelligent injector performs intravenous injection is compared with a preset reference threshold value of the injection accuracy evaluation value, and the comparison analysis results are as follows:
if the injection precision evaluation value is larger than the injection precision evaluation value reference threshold, generating an abnormal signal, and further analyzing potential abnormality when the intelligent injector generates the abnormal signal during intravenous injection;
if the injection precision evaluation value is smaller than or equal to the injection precision evaluation value reference threshold value, generating a normal signal, and continuing intravenous injection through the intelligent injector when an abnormal signal is generated when the intelligent injector performs intravenous injection.
Preferably, when the intelligent injector performs intravenous injection to generate an abnormal signal, acquiring a plurality of injection precision evaluation values generated when the intelligent injector performs intravenous injection to establish an analysis set, and calibrating the analysis set to be Q
Wherein k represents the number of a plurality of injection precision evaluation values in the analysis set, and k=1, 2, 3, 4, … … and f are positive integers;
generating an abnormality evaluation index by an injection accuracy evaluation value and a preset injection accuracy evaluation value reference threshold valueThe formula according to is:
in which, in the process,an injection accuracy evaluation value larger than the injection accuracy evaluation value reference threshold value in the analysis set is represented,a number indicating an injection accuracy evaluation value greater than the injection accuracy evaluation value reference threshold value in the analysis set,f is a positive integer,。
preferably, will beAbnormal evaluation index and preset gradient threshold valueAndperforming an alignment analysis, wherein,the results of the alignment analysis are as follows:
if it isGenerating a low-level hidden danger signal, when the low-level hidden danger signal is acquired, indicating that the intelligent injector is likely to have sudden and slight abnormal hidden danger when performing intravenous injection, and continuously performing intravenous injection through the intelligent injector without greatly influencing the intravenous injection precision of the intelligent injector;
if it isGenerating a medium-level hidden danger signal, when a low-level hidden danger signal is acquired, indicating that the intelligent injector is possibly intermittent abnormal hidden danger when performing intravenous injection, and stopping intravenous injection when the accuracy of the intelligent injector for performing intravenous injection is greatly affected;
If it isAnd generating a high-level hidden danger signal, when the high-level hidden danger signal is acquired, indicating that continuous abnormal hidden danger possibly occurs when the intelligent injector performs intravenous injection, and stopping intravenous injection if the accuracy of the intravenous injection performed by the intelligent injector is seriously influenced.
An intelligent medical intravenous injection monitoring system comprises a real-time data acquisition and safety transmission module, an injection precision evaluation module, an abnormality monitoring module and an abnormality evaluation and intelligent decision module;
the real-time data acquisition and safety transmission module acquires a plurality of data information including control parameter information and real-time control feedback information when the intelligent injector performs intravenous injection in real time in a selected G time window, and transmits the data acquired in real time to a cloud or local server for processing through a safety communication protocol after acquisition;
the injection precision evaluation module is used for comprehensively analyzing the control parameter information and the real-time control feedback information processed by the cloud or local server to generate an injection precision evaluation value, and carrying out real-time evaluation on the injection precision of the intelligent injector during intravenous injection through the injection precision evaluation value;
The abnormality monitoring module is used for comparing and analyzing an injection precision evaluation value generated when the intelligent injector performs intravenous injection with a preset injection precision evaluation value reference threshold value and judging whether potential abnormality hazards exist when the intelligent injector performs intravenous injection;
and the abnormality evaluation and intelligent decision module is used for comprehensively analyzing an injection precision evaluation value generated when the intelligent injector performs intravenous injection and a preset injection precision evaluation value reference threshold value to generate an abnormality evaluation index when the intelligent injector performs intravenous injection and has potential abnormality hazards, further judging the condition of the intelligent injector during intravenous injection through the abnormality evaluation index, and taking measures.
In the technical scheme, the invention has the technical effects and advantages that:
according to the invention, multiple data information of the intelligent injector, including control parameters and real-time control feedback information, are acquired in real time in a selected time window, so that the intravenous injection process can be monitored in real time, the data acquired in real time are transmitted to a cloud or local server for processing, and an injection precision evaluation value is generated by comprehensively analyzing the control parameters and the real-time feedback information, so that decision making and evaluation can be performed at a higher level, and the comprehensive monitoring of the intravenous injection of the intelligent injector is ensured.
According to the invention, the generation of the abnormal signal and the analysis of the abnormal evaluation index are introduced, so that the system can automatically judge the degree of abnormality, and according to hidden danger signals of different levels, the system can automatically determine whether to continue intravenous injection, thereby improving the automation degree of the intelligent injector, reducing the burden of medical staff, reducing the potential risk of patients, and being more convenient for subsequent maintenance management staff to know the abnormality type of the intelligent injector.
Drawings
For a clearer description of embodiments of the present application or of the solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments described in the present invention, and that other drawings may be obtained according to these drawings for a person skilled in the art.
Fig. 1 is a flow chart of a method of the intelligent medical intravenous injection monitoring system and monitoring method of the present invention.
Fig. 2 is a schematic block diagram of an intelligent medical intravenous injection monitoring system and a monitoring method according to the present invention.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art.
The invention provides an intelligent medical intravenous injection monitoring method as shown in fig. 1, which comprises the following steps:
acquiring multiple data information including control parameter information and real-time control feedback information when the intelligent injector performs intravenous injection in real time in a selected G time window, and transmitting the data acquired in real time to a cloud or local server for processing through a safe communication protocol after acquisition;
ensuring the safety of data transmission when an intelligent injector is used for intravenous injection is important, and a series of safety communication protocols can effectively reduce potential risks, and the following are some safety communication protocols commonly used for data transmission:
transport Layer Security (TLS): TLS is a commonly used encrypted communication protocol for protecting the security of data communications over a computer network, by encrypting and authenticating the data, ensuring that the data transmitted between the cloud or local server and the smart injector is protected.
Secure Shell (SSH): SSH is a protocol for securely transmitting data over a network by encryption, and is mainly used for secure data transmission for telnet and other network services, and is suitable for ensuring confidentiality and integrity of intelligent injector data.
Virtual Private Network (VPN): the VPN creates a secure, encrypted communication tunnel, connects remote sites over a public network, provides additional privacy and security aspects for data transmission, and is suitable for ensuring the security of intelligent injector data transmission.
Internet Protocol Security (IPsec): IPsec is a set of protocols used to ensure communications over IP networks, providing encryption, authentication, and data integrity checks, helping to ensure the security of data during transmission.
HTTPS (Hypertext Transfer Protocol Secure): HTTPS is a secure version over HTTP that ensures that data transferred between the smart injector and the server is protected by encryption using TLS/SSL protocols.
Message Queuing Telemetry Transport (MQTT): the MQTT is a lightweight communication protocol based on a publish/subscribe mode, provides safe data transmission through a TLS/SSL protocol, and is suitable for safe communication between Internet of things devices.
The secure communication protocol for data transmission may be selected according to practical situations, and is not limited herein.
The control parameter information of the intelligent injector when intravenous injection is carried out comprises target flow rate information, actual flow rate information, target concentration information and actual concentration information, and after the information is obtained, the target flow rate information, the actual flow rate information, the target concentration information and the actual concentration information are processed to generate flow rate control dosage deviation and concentration control dosage deviation;
The target flow rate, which refers to the desired drug flow rate preset by the smart injector, is typically in units of drug (e.g., milliliters/minute) delivered to the patient, and is set according to the patient's condition and treatment plan, and represents the desired delivery rate that the system is striving to maintain during the injection.
The actual flow rate refers to the actual drug flow rate measured by the smart injector during the actual drug injection, again in units of drug delivered to the patient per minute. The actual flow rate is data obtained according to real-time monitoring in actual use, and reflects the actual running state of the system.
The target concentration refers to a desired concentration of the drug preset by the smart injector, i.e., the expected concentration of the drug in delivery. The target concentration is typically set based on the medical prescription and treatment regimen for calculating the actual delivered drug dose.
The actual concentration refers to the actual drug concentration measured by the intelligent injector during actual drug delivery. The actual concentration is the data obtained by monitoring the sensor in actual use and is used to calculate the actual delivered drug dose.
The deviation between the target flow rate and the actual flow rate of the intelligent injector may cause serious influence on injection accuracy, so as to cause excessive injection or insufficient injection, which is described in detail below:
Possibility of injection overdose:
faster than the expected actual flow rate: if the actual flow rate is higher than the preset target flow rate, the patient may receive a greater amount of drug than expected. This may lead to overdosing, inducing dangerous adverse reactions such as dyspnea, arrhythmia and neurological damage. If the system does not detect an abnormality in the flow rate in time and makes an adjustment, the injection of medication continues at a higher flow rate, increasing delays in finding problems and intervention.
Likelihood of under-injection:
slower than the expected actual flow rate: if the actual flow rate is lower than the target flow rate, the patient may receive less medication than expected. This may lead to poor therapeutic results, affecting disease control and recovery. Similarly, if the system does not detect an abnormality in flow rate in time and makes an adjustment, the injection of medication continues at a lower flow rate, affecting the therapeutic effect without being corrected in time.
The deviation between the target concentration and the actual concentration of the intelligent injector may cause serious influence on injection precision, and may cause problems of over injection or under injection. The following is a detailed description:
possibility of injection overdose:
higher than expected actual concentration: if the actual drug concentration is above the preset target concentration, the patient may receive too much drug. This may result in an overdose of medication, which may adversely affect the patient's physiological system, including but not limited to, damage to the respiratory, cardiovascular and nervous systems, causing dangerous physiological responses and adverse symptoms. This may lead to dyspnea, arrhythmia, central nervous system depression, etc. and may even sometimes be life threatening.
Likelihood of under-injection:
lower than expected actual concentration: if the actual drug concentration is below the target concentration, the patient may receive less drug. This may lead to poor therapeutic efficacy, delay of disease control and recovery, insufficient medication may prevent adequate treatment of the disease, and may also lead to microbial resistance to the medication, making subsequent treatment more difficult.
The logic for obtaining the deviation of the flow rate control dosage is as follows:
s101, acquiring the real-time flow rate of the intelligent injector during intravenous injection in a selected G time window to form a time sequence, and using a function to the real-time flow rate according to the time sequenceA representation;
it should be noted that, the intelligent injector in the prior art is internally provided with high-precision flow rate sensors, and the sensors can monitor the flow rate of the medicine in the conveying pipeline, so that the flow rate is measured in real time, the data of the sensors reflect the speed of medicine conveying, and the key of realizing real-time monitoring is realized;
s102, calculating flow rate control dosage deviation, wherein the calculated expression is as follows:
in which, in the process,indicating the target flow rate,indicating the deviation of the flow rate control dosage,represents a period of time when the real-time flow rate is greater than the target flow rate when the smart injector is performing an intravenous injection, Represents a period of time when the real-time flow rate is less than or equal to the target flow rate when the intelligent injector is performing intravenous injection,，；
the calculation expression of the flow rate control dosage deviation shows that the larger the flow rate control dosage deviation generated when the intelligent injector performs intravenous injection in the selected G time window is, the greater the hidden danger that the intelligent injector has excessive or insufficient medicine due to abnormal injection precision is, and otherwise, the smaller the hidden danger that the intelligent injector has excessive or insufficient medicine due to abnormal injection precision is.
The logic for obtaining the concentration control dosage deviation is as follows:
s201, acquiring real-time concentration of the intelligent injector during intravenous injection in a selected G time window to form a time sequence, and using the real-time concentration as a function according to the time sequenceA representation;
it should be noted that, an electrochemical sensor may be used to monitor the concentration change of the drug during the delivery process by measuring the characteristics of the electrochemical reaction, and this sensor may detect the electrochemical signal of the drug molecule in real time and convert it into the corresponding drug concentration;
s202, calculating concentration control dosage deviation, wherein the calculated expression is as follows:
in which, in the process,the concentration of the target is indicated and,indicating the deviation of the concentration control dosage, Represents a period of time when the real-time concentration of the intelligent injector is greater than the target concentration during intravenous injection,the time period that the real-time concentration is less than or equal to the target concentration when the intelligent injector is used for intravenous injection is represented,，；
the calculation expression of the concentration control dosage deviation shows that the larger the concentration control dosage deviation generated when the intelligent injector performs intravenous injection in the selected G time window is, the larger the hidden danger that the intelligent injector has excessive or insufficient medicine due to abnormal injection precision is indicated, otherwise, the smaller the hidden danger that the intelligent injector has excessive or insufficient medicine due to abnormal injection precision is indicated.
The real-time control feedback information of the intelligent injector when intravenous injection is carried out comprises valve control response information and valve control response reference value information, a valve control system in the intelligent medical intravenous injector is a key component responsible for adjusting infusion speed, the valves realize the adjustment of flow rate by controlling the flow of fluid in an infusion pipeline, and the response time refers to the time for actually completing the adjustment of the corresponding valve after the valve control system receives a command for adjusting the flow rate.
The long valve control response time of the intelligent injector may cause serious impact on injection accuracy, which may cause over-injection or under-injection, as will be described in detail below:
affecting the timeliness of the flow rate adjustment: the longer valve control response time means that the valve cannot be quickly and accurately adjusted to the new set flow rate after the healthcare worker or system issues an instruction to adjust the flow rate. This may result in a significant time lag between the actual flow rate and the target flow rate, rather than immediately effecting the desired adjustment.
Hidden danger of excessive medicine: if the valve response time is long, the system cannot slow down the flow rate or stop infusion in time, and the fluid can continue to be injected, so that excessive medicine is caused. Excessive amounts of drugs may cause dangerous adverse reactions, impair the physiological functions of the patient, and even endanger life.
The treatment effect is poor: the long valve response time can cause the actual infusion flow rate to deviate from the target value for a long period of time, which can cause drug to accumulate in the patient or fail to achieve a therapeutic concentration as planned. The therapeutic effect may not be as expected, affecting the effectiveness of the treatment of the disease.
Fluctuation of flow rate: the long valve response time may lead to instability of the flow rate, i.e. fluctuations in the flow rate during adjustment. Such fluctuations may cause the concentration of the drug to change during infusion, affecting the accuracy of the injection.
Drug accumulation effect: delay in valve response time may cause drug to accumulate in the tubing, even after the valve is closed, some of the drug continues to flow. This may result in inaccurate flow rates, resulting in excessive or insufficient infusion.
The system is not adjusted timely: when an emergency adjustment of the flow rate or cessation of infusion is required, the long valve response time may result in a system that cannot make adjustments in time. This can create a risk to the life safety of the patient, especially in cases where emergency intervention is required.
The valve control response time of intelligent medical intravenous injectors typically occurs multiple times during an injection, particularly if it is desired to adjust the flow rate or other injection parameters. The following are some of the cases that may lead to multiple valve control responses:
1. when medical staff or the system needs to adjust the drug delivery rate according to the condition of the patient, the intelligent injector can adjust the valve according to the new set value so as to meet the new flow rate requirement.
2. In emergency situations, where rapid stopping of drug delivery is required, the intelligent injector may rapidly close the valve to ensure timely stopping of fluid injection.
3. The intelligent injector may have a self-adjusting function, and when the system detects an abnormality or needs to perform self-correction, the valve is adjusted to ensure that the system works normally.
4. Due to factors such as temperature changes, time of use, etc., the valve position may drift and the system may periodically correct, adjusting the valve position to maintain injection accuracy.
5. If a healthcare worker or patient needs to change injection parameters, such as flow rate or drug concentration, during treatment, the smart injector will adjust the valve accordingly to accommodate the new set point.
The logic for valve control response outlier index acquisition is as follows:
s301, acquiring a plurality of valve control response durations generated when the intelligent injector performs intravenous injection in a selected G time window, and calibrating the valve control response durations asX represents the number of a plurality of valve control response durations generated when the intelligent injector performs intravenous injection, and x=1, 2, 3, 4, … … and m are positive integers;
it should be noted that, integrated or additional sensors in the injector, such as photoelectric sensors, pressure sensors, etc., may be used to monitor changes in valve status, and these sensors may provide real-time data about valve opening and closing, thereby calculating the valve control response time;
s302, calculating a valve control response time length average value and a valve control response time length standard deviation through a plurality of valve control response time lengths, respectively comparing the valve control response time length average value and the valve control response time length standard deviation with a preset valve control response time length reference value and a preset standard deviation reference threshold value, and then generating a valve control response outlier index, wherein the generated logic is as follows:
If the average valve control response time length is smaller than the valve control response time length reference value and the standard deviation of the valve control response time length is smaller than the standard deviation reference threshold value, then:；
if the average valve control response time length is smaller than the reference valve control response time length and the standard deviation of the valve control response time length is larger than or equal to the reference standard deviation threshold value, then:；
if the average valve control response time length is greater than or equal to the valve control response time length reference value and the standard deviation of the valve control response time length is greater than or equal to the standard deviation reference threshold value, then:；
if the average valve control response time length is greater than or equal to the valve control response time length reference value and the standard deviation of the valve control response time length is less than the standard deviation reference threshold value, then:；
in the method, in the process of the invention,indicating an outlier index of valve control response.
The valve control response outlier index is known to be larger when the intelligent injector performs intravenous injection in the selected G time window, so that the hidden danger that the intelligent injector has excessive or insufficient medicine due to abnormal injection precision is larger, and the hidden danger that the intelligent injector has excessive or insufficient medicine due to abnormal injection precision is smaller.
Comprehensively analyzing the control parameter information and the real-time control feedback information processed by the cloud or local server to generate an injection precision evaluation value, and evaluating the injection precision of the intelligent injector in real time when the intelligent injector is subjected to intravenous injection through the injection precision evaluation value;
controlling the deviation of the drug dosage by the flow rate generated after the cloud or local server is processedConcentration control of dosage deviationValve control response outlier indexPerforming comprehensive analysis to generate injection precision evaluation valueThe formula according to is:
in the method, in the process of the invention,、、controlling the deviation of the dosage for the flow rate respectivelyConcentration control of dosage deviationValve control response outlier indexIs a preset proportionality coefficient of (1), and、、are all greater than 0;
as can be seen from the calculation expression, in the selected G time window, the larger the deviation of the flow rate control dosage, the larger the deviation of the concentration control dosage and the larger the valve control response outlier index generated when the intelligent injector performs intravenous injection, namely the injection precision evaluation value generated in the selected G time window when the intelligent injector performs intravenous injectionThe larger the expression value of the intelligent injector is, the larger the hidden danger that the injection precision of the intelligent injector is abnormal to cause excessive or insufficient medicine is, otherwise, the hidden danger that the injection precision of the intelligent injector is abnormal to cause excessive or insufficient medicine is smaller.
Comparing and analyzing an injection precision evaluation value generated when the intelligent injector performs intravenous injection with a preset injection precision evaluation value reference threshold value, and judging whether an abnormal hidden trouble exists when the intelligent injector performs intravenous injection;
comparing an injection precision evaluation value generated when the intelligent injector performs intravenous injection with a preset injection precision evaluation value reference threshold value, and comparing and analyzing the result as follows:
if the injection precision evaluation value is larger than the injection precision evaluation value reference threshold, generating an abnormal signal, and when the intelligent injector performs intravenous injection, generating the abnormal signal, indicating that the intelligent injector has higher hidden danger of excessive or insufficient medicine caused by abnormal injection precision, and further analyzing the hidden danger subsequently;
if the injection precision evaluation value is smaller than or equal to the injection precision evaluation value reference threshold value, generating a normal signal, and when an abnormal signal is generated when the intelligent injector performs intravenous injection, the intelligent injector shows that the hidden danger of excessive or insufficient medicine caused by abnormal injection precision is very low, and at the moment, the intelligent injector continues intravenous injection.
When the intelligent injector performs intravenous injection and has abnormal hidden trouble, comprehensively analyzing an injection precision evaluation value generated when the intelligent injector performs intravenous injection and a preset injection precision evaluation value reference threshold value, generating an abnormal evaluation index, further judging the condition of the intelligent injector during intravenous injection through the abnormal evaluation index, and taking measures;
When the intelligent injector performs intravenous injection to generate an abnormal signal, acquiring a plurality of injection precision evaluation values generated when the intelligent injector performs intravenous injection to establish an analysis set, and calibrating the analysis set as Q, then
Wherein k represents the number of a plurality of injection precision evaluation values in the analysis set, and k=1, 2, 3, 4, … … and f are positive integers;
generating an abnormality evaluation index by an injection accuracy evaluation value and a preset injection accuracy evaluation value reference threshold valueThe formula according to is:
in which, in the process,an injection accuracy evaluation value larger than the injection accuracy evaluation value reference threshold value in the analysis set is represented,a number indicating an injection accuracy evaluation value greater than the injection accuracy evaluation value reference threshold value in the analysis set,f is a positive integer,；
the generated abnormality evaluation index is compared with a preset gradient threshold valueAndperforming an alignment analysis, wherein,the results of the alignment analysis are as follows:
if it isGenerating a low-level hidden danger signal, when the low-level hidden danger signal is acquired, indicating that the intelligent injector is likely to have sudden and slight abnormal hidden danger when performing intravenous injection, and continuously performing intravenous injection through the intelligent injector without greatly influencing the intravenous injection precision of the intelligent injector;
If it isGenerating a medium-level hidden danger signal, when a low-level hidden danger signal is acquired, indicating that the intelligent injector is possibly intermittent abnormal hidden danger when performing intravenous injection, and stopping intravenous injection when the accuracy of the intelligent injector for performing intravenous injection is greatly affected;
if it isAnd generating a high-level hidden danger signal, when the high-level hidden danger signal is acquired, indicating that continuous abnormal hidden danger possibly occurs when the intelligent injector performs intravenous injection, and stopping intravenous injection if the accuracy of the intravenous injection performed by the intelligent injector is seriously influenced.
According to the invention, multiple data information of the intelligent injector, including control parameters and real-time control feedback information, can be obtained in real time in a selected time window, so that real-time monitoring of the intravenous injection process can be realized, abnormal injection precision can be found in time, the risk of excessive or insufficient medicine to a patient is avoided, the data acquired in real time are transmitted to a cloud or local server for processing, and an injection precision evaluation value is generated through comprehensive analysis of the control parameters and the real-time feedback information, so that decision making and evaluation can be performed on a higher level, and comprehensive monitoring of intravenous injection of the intelligent injector is ensured.
The invention can automatically judge the degree of abnormality by generating the abnormality signal and analyzing the abnormality evaluation index, and automatically determine whether to continue intravenous injection according to hidden danger signals of different levels, thereby improving the automation degree of the intelligent injector, reducing the burden of medical staff and simultaneously reducing the potential risk of patients.
The invention provides an intelligent medical intravenous injection monitoring system as shown in fig. 2, which comprises a real-time data acquisition and safety transmission module, an injection precision evaluation module, an abnormality monitoring module and an abnormality evaluation and intelligent decision module;
the real-time data acquisition and safety transmission module acquires a plurality of data information including control parameter information and real-time control feedback information when the intelligent injector performs intravenous injection in real time in a selected G time window, and transmits the data acquired in real time to a cloud or local server for processing through a safety communication protocol after acquisition;
the injection precision evaluation module is used for comprehensively analyzing the control parameter information and the real-time control feedback information processed by the cloud or local server to generate an injection precision evaluation value, and carrying out real-time evaluation on the injection precision of the intelligent injector during intravenous injection through the injection precision evaluation value;
The abnormality monitoring module is used for comparing and analyzing an injection precision evaluation value generated when the intelligent injector performs intravenous injection with a preset injection precision evaluation value reference threshold value and judging whether potential abnormality hazards exist when the intelligent injector performs intravenous injection;
the abnormal evaluation and intelligent decision module is used for comprehensively analyzing an injection precision evaluation value generated when the intelligent injector performs intravenous injection and a preset injection precision evaluation value reference threshold value to generate an abnormal evaluation index when the intelligent injector performs intravenous injection and has abnormal hidden danger, further judging the condition of the intelligent injector when the intelligent injector performs intravenous injection through the abnormal evaluation index, and taking measures;
the embodiment of the invention provides an intelligent medical intravenous injection monitoring method, which is realized by the intelligent medical intravenous injection monitoring system, and the specific method and the flow of the intelligent medical intravenous injection monitoring system are detailed in the embodiment of the intelligent medical intravenous injection monitoring method, and are not repeated here.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the several embodiments provided in this application, it should be understood that the disclosed systems and methods may be implemented in other ways. For example, the embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical functional division, and there may be additional divisions in actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
While certain exemplary embodiments of the present invention have been described above by way of illustration only, it will be apparent to those of ordinary skill in the art that modifications may be made to the described embodiments in various different ways without departing from the spirit and scope of the invention. Accordingly, the drawings and description are to be regarded as illustrative in nature and not as restrictive of the scope of the invention, which is defined by the appended claims.
Claims (10)
1. An intelligent medical intravenous injection monitoring method is characterized by comprising the following steps:
acquiring multiple data information including control parameter information and real-time control feedback information when the intelligent injector performs intravenous injection in real time in a selected G time window, and transmitting the data acquired in real time to a cloud or local server for processing through a safe communication protocol after acquisition;
comprehensively analyzing the control parameter information and the real-time control feedback information processed by the cloud or local server to generate an injection precision evaluation value, and evaluating the injection precision of the intelligent injector in real time when the intelligent injector is subjected to intravenous injection through the injection precision evaluation value;
comparing and analyzing an injection precision evaluation value generated when the intelligent injector performs intravenous injection with a preset injection precision evaluation value reference threshold value, and judging whether an abnormal hidden trouble exists when the intelligent injector performs intravenous injection;
when the intelligent injector performs intravenous injection and has abnormal hidden trouble, comprehensively analyzing an injection precision evaluation value generated when the intelligent injector performs intravenous injection and a preset injection precision evaluation value reference threshold value, generating an abnormal evaluation index, further judging the condition of the intelligent injector during intravenous injection through the abnormal evaluation index, and taking measures.
2. The intelligent medical intravenous injection monitoring method according to claim 1, wherein the control parameter information of the intelligent injector during intravenous injection comprises target flow rate information, actual flow rate information, target concentration information and actual concentration information, and after the information is obtained, the target flow rate information, the actual flow rate information, the target concentration information and the actual concentration information are processed to generate flow rate control dosage deviation and concentration control dosage deviation; the real-time control feedback information of the intelligent injector during intravenous injection comprises valve control response information and valve control response reference value information, and after the valve control response information and the valve control response reference value information are acquired, the valve control response information and the valve control response reference value information are processed to generate a valve control response outlier index.
3. The intelligent medical intravenous injection monitoring method according to claim 2, wherein the flow rate generated after processing at the cloud or local server is used for controlling the dosage deviationConcentration-controlled dose deviation->Valve control response outlier index>Performing comprehensive analysis to generate injection accuracy evaluation value +.>The formula according to is:
in (1) the->、/>、/>Deviation of the controlled doses of the respective flow rates >Concentrated and strongDeviation of degree control dose->Valve control response outlier index>Is a preset proportionality coefficient of>、/>、/>Are all greater than 0.
4. An intelligent medical intravenous injection monitoring method according to claim 3, wherein the logic for obtaining the deviation of the flow rate control dosage is as follows:
s101, acquiring the real-time flow rate of the intelligent injector during intravenous injection in a selected G time window to form a time sequence, and using a function to the real-time flow rate according to the time sequenceA representation;
s102, calculating flow rate control dosage deviation, wherein the calculated expression is as follows:
wherein->Indicating the target flow rate +.>Indicating deviation of flow rate control dosage->Time period representing that the real-time flow rate is greater than the target flow rate when the intelligent injector is performing intravenous injection, +.>Indicating a period of time when the real-time flow rate is less than or equal to the target flow rate when the intelligent injector is performing intravenous injection,/for the period of time when the real-time flow rate is less than or equal to the target flow rate when the intelligent injector is performing intravenous injection>，/>。
5. An intelligent medical intravenous injection monitoring method according to claim 3, wherein the logic for acquiring the concentration control dosage deviation is as follows:
s201, acquiring real-time concentration of the intelligent injector during intravenous injection in a selected G time window to form a time sequence, and using the real-time concentration as a function according to the time sequence A representation;
s202, calculating concentration control dosage deviation, wherein the calculated expression is as follows:
wherein->Indicating the target concentration->Indicating concentration-controlled dose deviation->Time period indicating that real-time concentration is greater than target concentration when the intelligent injector is used for intravenous injection>Indicating a period of time when the real-time concentration of the intelligent injector is less than or equal to the target concentration when the intelligent injector is used for intravenous injection, and +.>，/>。
6. A method of intelligent medical intravenous injection monitoring as claimed in claim 3, wherein the logic for valve control response outlier index acquisition is as follows:
s301, acquiring a plurality of valve control response durations generated when the intelligent injector performs intravenous injection in a selected G time window, and calibrating the valve control response durations asX represents the number of a plurality of valve control response durations generated when the intelligent injector performs intravenous injection, and x=1, 2, 3, 4, … … and m are positive integers;
s302, calculating a valve control response time length average value and a valve control response time length standard deviation through a plurality of valve control response time lengths, respectively comparing the valve control response time length average value and the valve control response time length standard deviation with a preset valve control response time length reference value and a preset standard deviation reference threshold value, and then generating a valve control response outlier index, wherein the generated logic is as follows:
If the average valve control response time length is smaller than the valve control response time length reference value and the standard deviation of the valve control response time length is smaller than the standard deviation reference threshold value, then:；
if the average valve control response time length is smaller than the reference valve control response time length and the valve control response time length standardAnd if the difference is greater than or equal to the standard deviation reference threshold value:；
if the average valve control response time length is greater than or equal to the valve control response time length reference value and the standard deviation of the valve control response time length is greater than or equal to the standard deviation reference threshold value, then:；
if the average valve control response time length is greater than or equal to the valve control response time length reference value and the standard deviation of the valve control response time length is less than the standard deviation reference threshold value, then:；
in the method, in the process of the invention,indicating an outlier index of valve control response.
7. The intelligent medical intravenous injection monitoring method according to claim 3, wherein the injection accuracy evaluation value generated when the intelligent injector performs intravenous injection is compared with a preset injection accuracy evaluation value reference threshold value, and the comparison analysis results are as follows:
if the injection precision evaluation value is larger than the injection precision evaluation value reference threshold, generating an abnormal signal, and further analyzing potential abnormality when the intelligent injector generates the abnormal signal during intravenous injection;
If the injection precision evaluation value is smaller than or equal to the injection precision evaluation value reference threshold value, generating a normal signal, and continuing intravenous injection through the intelligent injector when an abnormal signal is generated when the intelligent injector performs intravenous injection.
8. The intelligent medical intravenous injection monitoring method according to claim 7, wherein when intelligentWhen the injector can perform intravenous injection to generate an abnormal signal, acquiring a plurality of injection precision evaluation values generated when the intelligent injector performs intravenous injection to establish an analysis set, and calibrating the analysis set as Q, thenWherein k represents the number of a plurality of injection precision evaluation values in the analysis set, and k=1, 2, 3, 4, … … and f are positive integers;
generating an abnormality evaluation index by an injection accuracy evaluation value and a preset injection accuracy evaluation value reference threshold valueThe formula according to is:
wherein->An injection precision evaluation value indicating that the injection precision evaluation value is greater than the reference threshold value in the analysis set, ++>A number indicating an injection accuracy evaluation value greater than the injection accuracy evaluation value reference threshold value in the analysis set,f is a positive integer, ">。
9. The intelligent medical intravenous injection monitoring method according to claim 8, wherein the generated abnormality evaluation index is compared with a preset gradient threshold value And->Performing comparison analysis, wherein->The results of the alignment analysis are as follows:
if it isGenerating a low-level hidden danger signal, and continuing intravenous injection through the intelligent injector when the low-level hidden danger signal is acquired;
if it isGenerating a medium-level hidden danger signal, and stopping intravenous injection when a low-level hidden danger signal is acquired;
if it isAnd generating a high-level hidden danger signal, and stopping intravenous injection when the high-level hidden danger signal is acquired.
10. An intelligent medical intravenous injection monitoring system for realizing the intelligent medical intravenous injection monitoring method according to any one of the claims 1-9, which is characterized by comprising a real-time data acquisition and safety transmission module, an injection precision evaluation module, an abnormality monitoring module and an abnormality evaluation and intelligent decision module;
the real-time data acquisition and safety transmission module acquires a plurality of data information including control parameter information and real-time control feedback information when the intelligent injector performs intravenous injection in real time in a selected G time window, and transmits the data acquired in real time to a cloud or local server for processing through a safety communication protocol after acquisition;
the injection precision evaluation module is used for comprehensively analyzing the control parameter information and the real-time control feedback information processed by the cloud or local server to generate an injection precision evaluation value, and carrying out real-time evaluation on the injection precision of the intelligent injector during intravenous injection through the injection precision evaluation value;
The abnormality monitoring module is used for comparing and analyzing an injection precision evaluation value generated when the intelligent injector performs intravenous injection with a preset injection precision evaluation value reference threshold value and judging whether potential abnormality hazards exist when the intelligent injector performs intravenous injection;
and the abnormality evaluation and intelligent decision module is used for comprehensively analyzing an injection precision evaluation value generated when the intelligent injector performs intravenous injection and a preset injection precision evaluation value reference threshold value to generate an abnormality evaluation index when the intelligent injector performs intravenous injection and has potential abnormality hazards, further judging the condition of the intelligent injector during intravenous injection through the abnormality evaluation index, and taking measures.
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| CN118700480A (en) * | 2024-08-29 | 2024-09-27 | 张家港市品杰模塑科技有限公司 | Abnormality monitoring method and system for injection molding process |
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