Nursing quality monitoring system based on PICC catheter real-time data acquisition

Abstract

The invention discloses a PICC catheter real-time data acquisition-based nursing quality monitoring system, and relates to the technical field of nursing quality monitoring, the system comprises a data acquisition module, a real-time analysis module, a long-term tracking module, a risk dynamic evaluation module, a nursing intervention module and a patient monitoring module, and the modules are in electric signal connection. According to the nursing quality monitoring system based on PICC real-time data collection, by continuously monitoring physiological parameters of a patient and PICC related data, nursing personnel can respond to demand changes of the patient in time, PICC related complications can be effectively recognized and prevented, abnormal conditions can be found in time, intervention measures are taken, and the nursing quality is improved. Therefore, the risk of complications is reduced, the safety of the patient is improved, nursing personnel can make a personalized nursing plan more accurately, the pertinence and effectiveness of nursing are improved, and the treatment effect of the patient is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of nursing quality monitoring, in particular to a nursing quality monitoring system based on real-time data collection of PICC catheters. Background Art

[0002] As an important medical tool, PICC catheters have a wide range of clinical applications. However, there are certain risks in their use. For example, improper operation may lead to problems such as accidental penetration, penetration, and blockage. In severe cases, it may also lead to risks of infection and bleeding in patients. Therefore, the supervision and management of PICC catheters are important. By using information technology to collect and analyze the data generated during the use of PICC catheters in real time, the use of PICC catheters can be fully monitored, providing decision-making support for medical staff, and timely discovering and dealing with potential safety hazards, thereby effectively reducing the risk of medical accidents and improving patient safety.

[0003] Since the patient's condition and treatment effect are dynamically changing, and the prediction results based on real-time data can often only reflect the status at a certain moment, lacking long-term tracking and dynamic evaluation of patients, therefore, how to comprehensively evaluate the patient's status and nursing measures, discover potential problems and patient status trends, and improve the patient's treatment effect and nursing quality are the problems we need to solve. To this end, a nursing quality monitoring system based on real-time data collection of PICC catheters is proposed. Summary of the invention

[0004] To achieve the above objectives, the present invention is implemented through the following technical solutions: a nursing quality monitoring system based on real-time data acquisition of PICC catheters, the system comprising a data acquisition module, a real-time analysis module, a long-term tracking module, a risk dynamic assessment module, a nursing intervention module and a patient monitoring module, wherein the modules are connected by electrical signals;

[0005] The data acquisition module is used to collect clinical data related to the PICC catheter in real time, including catheter position, indwelling time and patient physiological parameters;

[0006] The real-time analysis module performs instant analysis on clinical data collected in real time to identify potential risks and problems, which helps medical staff to promptly detect abnormal conditions of patients and take appropriate intervention measures;

[0007] The long-term tracking module tracks the patient's condition over a long period of time by comparing the patient's historical clinical data with the real-time clinical data, and analyzes the changing trend of the patient's condition;

[0008] The risk dynamic assessment module dynamically assesses the patient's condition and treatment effect based on the identification results of potential risks and problems, combined with the patient's historical clinical data, and then analyzes the severity of the patient's abnormal condition, provides risk warnings to nursing staff, and guides clinical decision-making;

[0009] The nursing intervention module understands the patient's current status based on data analysis and risk dynamic assessment results, and formulates nursing intervention measures in combination with historical nursing measures to improve the pertinence and effectiveness of nursing and improve the patient's treatment effect and satisfaction;

[0010] The patient monitoring module is used to continuously monitor the patient's physiological state, including vital signs and laboratory test results, and feed back the monitoring and analysis results to nursing staff and patients, provide real-time nursing suggestions, ensure the safety of patients during treatment, so as to adjust the nursing plan in time. By continuously monitoring the patient's physiological parameters and PICC catheter-related data, nursing staff can respond to changes in patient needs in a timely manner, and can effectively identify and prevent PICC catheter-related complications, so as to detect abnormal conditions in time and take intervention measures, thereby reducing the risk of complications and improving the safety of patients. It is convenient for nursing staff to formulate personalized nursing plans more accurately, improve the pertinence and effectiveness of nursing, and improve the treatment effect of patients.

[0011] Preferably, in the data collection module, the clinical data collection process includes:

[0012] Before catheterization, the patient is fully evaluated, including blood tests, electrocardiograms, and chest X-rays to determine whether the patient is suitable for PICC catheterization, and to assess the patient's blood flow, skin, and blood vessel conditions to select the catheterization site;

[0013] According to the standard PICC catheterization process, the catheter is inserted from the antecubital vein along the blood vessels into the superior vena cava. During the catheterization process, the patient's vital signs and reactions are closely monitored to ensure the safety of the catheterization process. After the catheterization is completed, a chest X-ray is performed to confirm whether the catheter tip is correctly located in the superior vena cava.

[0014] The catheter position data is recorded in the data acquisition module. After the catheter is placed, the start time of the catheter placement is recorded. During the placement period, the catheter placement status is continuously monitored, including whether the catheter is unobstructed and whether there are signs of infection. When the catheter needs to be removed, the end time of the catheter placement is recorded. The total time of the catheter placement is simultaneously calculated and recorded.

[0015] Connect the physiological parameter detection equipment (such as blood pressure detection equipment, body temperature sensor detection equipment, etc.) to the data acquisition module, ensure that the connection between the sensor and the patient's body is tight and stable, collect the patient's blood pressure, body temperature and other physiological parameters in real time through the detection equipment, and transmit the collected data to the data acquisition module in real time.

[0016] Preferably, in the real-time analysis module, the process of identifying potential risks and problems includes:

[0017] Receive clinical data of catheter position, catheter indwelling time, and patient physiological parameters collected in real time from the data acquisition module, and pre-process the received raw data, including data cleaning and formatting, wherein the received data is cleaned to remove noise and outliers, and the data is formatted to convert data in different units into a unified standard format to ensure the consistency and accuracy of the data format;

[0018] Based on the collected catheter-related clinical data, determine the catheter indwelling time, catheter position deviation, and number of catheter blockages, and analyze the risk interference degree of catheter position deviation and catheter blockage times;

[0019] Based on clinical experience, baseline thresholds are set for various physiological parameters, and statistical methods are used to calculate and analyze the pre-processed physiological parameter data to obtain an abnormality identification index to quantify the degree of abnormality of the patient's physiological parameters;

[0020] Set the abnormal threshold T, combine it with the abnormal identification index to analyze the real-time data immediately, identify abnormal data points, mark them as potential risks, and then identify the specific problems currently existing in the patient, including catheter position deviation and prolonged indwelling time. Prioritize the problems according to their severity and urgency so that medical staff can quickly take intervention measures. Among them, catheter position deviation has a higher priority than prolonged indwelling time.

[0021] When the abnormal identification index exceeds the set abnormal threshold, the real-time analysis module automatically issues an alarm prompt through sound, light, and screen display to ensure that medical staff can notice abnormal situations in time and provide intervention suggestions including adjusting catheter position, changing dressings, and administering anticoagulants based on the identified problems.

[0022] Preferably, the calculation expression of the abnormality identification index is:

[0023] ;

[0024] in, It is an abnormality identification index that quantifies the degree of abnormality of the patient's physiological parameters. For the The actual observed value of the physiological parameter, For the The baseline threshold of each physiological parameter, For the The standard deviation of a physiological parameter indicates the normal fluctuation range of the parameter. is the total number of physiological parameters, For the The absolute difference between the actual observed value of a physiological parameter and the reference threshold, The value range is limited to between 0 and 1. The closer the value is to 0, the closer the patient's physiological parameters are to the normal range and the lower the degree of abnormality.

[0025] Preferably, in the long-term tracking module, the analysis process of the patient's condition change trend includes:

[0026] Collect historical clinical data of patients from electronic medical record systems, paper medical records, laboratory test results, etc. The historical clinical data includes but is not limited to body temperature, pulse, blood pressure, blood test results, imaging examinations, etc., and extract the clinical data of patients collected in real time by the data acquisition module, integrate the historical clinical data and real-time clinical data to form a complete clinical data file of patients, and perform data cleaning and formatting on the clinical data file of patients to ensure the consistency and accuracy of the data;

[0027] Apply cluster analysis to analyze the data in the patient's clinical data archive to identify the changing trend of the patient's condition and conduct a comprehensive assessment of the condition;

[0028] Analyze the patient's physiological indicators and laboratory test results, monitor the patient's disease development trend, and compare the patient's historical clinical data and real-time clinical data to find out the differences and changes between the data, evaluate the long-term changes in the patient's condition, and identify the stable period, progressive period and deterioration period of the disease, providing a basis for adjusting the treatment plan.

[0029] Preferably, in the risk dynamic assessment module, the process of risk dynamic assessment includes:

[0030] Based on the results of the real-time data analysis module, risk data of the PICC catheter indwelling process is extracted to identify potential risks and problems, such as catheter indwelling time, catheter position deviation, number of catheter blockages, etc., and combined with the patient's historical clinical data to identify long-term risk factors;

[0031] Based on the identified potential risks and problems, combined with the patient's historical clinical data, the patient's physiological parameter data and PICC catheter risk data are comprehensively analyzed, and the risk assessment value is calculated based on the number of catheter blockages and catheter indwelling time. The patient's condition and treatment effect are dynamically evaluated, and the severity of the patient's abnormal condition is analyzed;

[0032] Different risk levels are set based on risk assessment values ​​and historical clinical data, namely low risk level, medium risk level and high risk level;

[0033] A warning threshold corresponding to the risk assessment value is set for each risk level. When the risk assessment value exceeds the warning threshold, the warning is triggered and an alarm is issued through sound, light, and screen display to warn medical staff. Green indicates low risk, yellow indicates medium risk, and red indicates high risk. The patient's risk assessment value and current risk level can be displayed in real time on the system screen. The risk assessment value is calculated by analyzing physiological parameters and PICC catheter risk data, which can dynamically evaluate the patient's condition and treatment effect, and analyze the severity of the patient's abnormal condition.

[0034] Preferably, the calculation expression of the risk assessment value is:

[0035] ;

[0036] in, is the risk assessment value, For the The actual observed value of the physiological parameter, For the The baseline threshold of each physiological parameter, is the total number of physiological parameters, is the number of catheter blockages, and are the maximum and minimum values ​​of the number of catheter blockages, respectively, and are used to calculate the fluctuation range of the data. It is the baseline value of the number of catheter blockages and is used to evaluate whether the data deviates from the normal range. is the adjustment coefficient used to control the influence of catheter indwelling time on the risk assessment value. The catheter indwelling time, The value range is limited to between 0 and 1. The closer the value is to 0, the higher the risk; the closer the value is to 1, the lower the risk. When the patient's physiological parameters differ greatly from the baseline value, or the relevant data of the PICC catheter deviates greatly from the normal range, The value will approach 0, indicating a higher risk. When the patient's physiological parameters are close to the baseline value and the relevant data of the PICC catheter are within the normal range, The value will approach 1, indicating a lower risk, and as the catheter indwelling time increases (if is a positive number), The values ​​will decrease gradually, indicating a gradual increase in risk, reflecting the negative impact of catheter indwelling time on risk assessment.

[0037] Preferably, the numerical value of the risk assessment value and the preset warning threshold of the risk level are obtained to match the three risk levels, which are:

[0038] Low risk level: The patient's physiological parameters and PICC catheter-related data were within the normal range and showed no significant abnormalities compared with historical data;

[0039] Medium risk level: ; Some of the patient's physiological parameters or PICC catheter-related data show slight abnormalities, but have not yet reached the level that requires immediate intervention;

[0040] High risk level: ; Significant abnormalities in the patient's physiological parameters or PICC catheter-related data may endanger the patient's health and safety and require immediate intervention;

[0041] in, is the risk assessment value, is the lower threshold corresponding to the low risk level and the upper threshold corresponding to the medium risk level, The lower threshold corresponding to the medium risk level and the upper threshold corresponding to the high risk level.

[0042] Preferably, in the nursing intervention module, the process of formulating nursing intervention measures includes:

[0043] Traverse the data analysis and risk dynamic assessment results to understand the patient's current status, including physiological parameters, laboratory test results, and PICC catheter related data;

[0044] Analyze the patient's historical nursing records, including previous nursing interventions and treatment outcomes, to identify effective nursing methods and areas for improvement, and assess the patient's nursing needs and determine the focus and goals of nursing based on the patient's current status and historical nursing interventions;

[0045] Based on the data analysis results and risk assessment, develop targeted nursing intervention measures, including adjusting the catheter position, changing the dressing, and administering anticoagulants; develop a detailed nursing plan that includes the specific steps of the intervention measures, implementation schedule, and responsibility allocation; and implement the developed nursing plan.

[0046] Preferably, in the patient monitoring module, the process of continuously monitoring the patient's physiological state includes:

[0047] Develop a monitoring plan based on the patient's condition and treatment needs, including the physiological parameters and laboratory test items to be monitored, and configure the necessary monitoring equipment;

[0048] Collect the patient's physiological parameter data in real time, including heart rate, blood pressure, blood oxygen saturation, body temperature, etc., and regularly collect blood and urine samples from patients and send them to the laboratory for testing. Pay attention to the key laboratory test results of blood routine, urine routine, and biochemical indicators, and promptly detect and deal with abnormal indicators, such as increased white blood cell count and electrolyte imbalance;

[0049] Record the monitored vital signs data and laboratory test results in the electronic medical record, indicating the measurement time, measurement site, and measurement value information to ensure the accuracy and traceability of the data;

[0050] The collected data is analyzed to identify anomalies and trend changes, and the monitoring results are fed back to nursing staff in real time so that nursing measures can be adjusted based on the data.

[0051] The present invention provides a nursing quality monitoring system based on real-time data collection of PICC catheters. It has the following beneficial effects:

[0052] 1. The nursing quality monitoring system based on real-time data collection of PICC catheters enables nursing staff to respond to changes in patients' needs in a timely manner by continuously monitoring patients' physiological parameters and PICC catheter-related data, and can effectively identify and prevent PICC catheter-related complications, so as to detect abnormal conditions in time and take intervention measures, thereby reducing the risk of complications and improving patients' safety. It is convenient for nursing staff to formulate personalized nursing plans more accurately, improve the pertinence and effectiveness of nursing, and improve patients' treatment effects.

[0053] 2. The nursing quality monitoring system based on real-time data collection of PICC catheters can calculate risk assessment values ​​by analyzing physiological parameters and PICC catheter risk data. It can dynamically evaluate the patient's condition and treatment effect, analyze the severity of the patient's abnormal condition, and help nursing staff identify possible problems of patients earlier, take preventive and intervention measures in time, thereby improving the pertinence and effectiveness of nursing. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 A diagram showing the components of a nursing quality monitoring system based on real-time data collection of a PICC catheter according to the present invention;

[0055] Figure 2 A flow chart for identifying potential risks and problems of the present invention;

[0056] Figure 3 This is a flow chart of the dynamic risk assessment of the present invention. DETAILED DESCRIPTION

[0057] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. The embodiments of the present invention are provided for the purpose of illustration and description, and are not intended to be exhaustive or to limit the present invention to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present invention, and to enable those of ordinary skill in the art to understand the present invention and thereby design various embodiments with various modifications suitable for specific uses.

[0058] The first embodiment, as Figure 1 , Figure 2 As shown, the present invention provides a technical solution: a nursing quality monitoring system based on real-time data acquisition of PICC catheter, the system includes a data acquisition module, a real-time analysis module, a long-term tracking module, a risk dynamic assessment module, a nursing intervention module and a patient monitoring module, wherein the electrical signals between the modules are connected;

[0059] The data acquisition module is used to collect clinical data related to PICC catheters in real time, including catheter position, indwelling time and patient physiological parameters. Before catheterization, a comprehensive assessment of the patient is conducted, including blood tests, electrocardiograms, and chest X-rays to determine whether the patient is suitable for PICC catheterization, and to assess the patient's blood flow, skin condition, and vascular condition. The catheterization site is selected and the catheter is inserted from the cubital vein along the blood vessels into the superior vena cava according to the standard PICC catheterization process. During the catheterization process, the patient's vital signs and reactions are closely monitored to ensure the safety of the catheterization process. After the catheterization is completed, a chest X-ray is performed to confirm whether the catheter tip is correctly located in the superior vena cava. The catheter position data is recorded in the data acquisition module. After the catheter is placed, the start time of the catheter is recorded. During the indwelling period, the indwelling status of the catheter is continuously monitored, including whether the catheter is unobstructed and whether there are signs of infection. When the catheter needs to be removed, the end time of the catheter is recorded. The total indwelling time of the catheter is synchronously calculated and recorded. The physiological parameter detection equipment (such as blood pressure detection equipment, body temperature sensor detection equipment, etc.) is connected to the data acquisition module to ensure that the connection between the sensor and the patient's body is tight and stable. The patient's blood pressure, body temperature and other physiological parameters are collected in real time through the detection equipment, and the collected data is transmitted to the data acquisition module in real time;

[0060] The real-time analysis module performs instant analysis on the clinical data collected in real time and identifies potential risks and problems, which helps medical staff to promptly detect abnormal conditions of patients and take appropriate intervention measures. It receives clinical data such as catheter position, catheter retention time, and patient physiological parameters collected in real time from the data acquisition module, and pre-processes the received raw data, including data cleaning and formatting. The received data is cleaned to remove noise and outliers, and the data is formatted to convert data from different units into a unified standard format to ensure the consistency and accuracy of the data format. Based on the collected catheter-related clinical data, the catheter retention time, catheter position offset, and catheter blockage times are determined, and the risk interference degree of catheter position offset and catheter blockage times is analyzed. Based on clinical experience, benchmark thresholds are set for various physiological parameters, and statistical Methods The pre-processed physiological parameter data were calculated and analyzed to obtain the abnormality recognition index, quantify the abnormal degree of the patient's physiological parameters, set the abnormal threshold T, and analyze the real-time data in real time in combination with the abnormality recognition index to identify abnormal data points and mark them as potential risks, thereby identifying the specific problems currently existing in the patient, including catheter position deviation and prolonged indwelling time. The problems were prioritized according to their severity and urgency so that medical staff could quickly take intervention measures. Among them, catheter position deviation had a higher priority than prolonged indwelling time. When the abnormality recognition index exceeded the set abnormal threshold, the real-time analysis module automatically issued an alarm prompt, which was carried out through sound, light, and screen display to ensure that medical staff could notice the abnormal situation in time and provide intervention suggestions including adjusting the catheter position, changing the dressing, and giving anticoagulants according to the identified problems.

[0061] Furthermore, the calculation expression of the abnormality recognition index is:

[0062] ;

[0063] in, It is an abnormality identification index that quantifies the degree of abnormality of the patient's physiological parameters. For the The actual observed value of the physiological parameter, For the The baseline threshold of each physiological parameter, For the The standard deviation of a physiological parameter indicates the normal fluctuation range of the parameter. is the total number of physiological parameters, For the The absolute difference between the actual observed value of a physiological parameter and the reference threshold, The value range of is limited to between 0 and 1. The closer the value is to 0, the closer the patient's physiological parameters are to the normal range and the lower the abnormality; the closer the value is to 1, the higher the abnormality. When the actual observed values ​​of all physiological parameters are equal to their baseline thresholds, When the maximum value reaches 1, it means there is no abnormality. As the deviation between the actual observation value and the benchmark threshold increases, A decrease in value indicates an increase in the degree of abnormality. , it is considered that there is an abnormality;

[0064] The long-term tracking module tracks the patient's condition over a long period of time by comparing the patient's historical clinical data with the real-time clinical data, and analyzes the changing trend of the patient's condition. The module collects the patient's historical clinical data from electronic medical record systems, paper medical records, laboratory test results, etc. The historical clinical data includes but is not limited to body temperature, pulse, blood pressure, blood test results, imaging examinations, etc., and extracts the patient's clinical data collected in real time by the data acquisition module, integrates the historical clinical data with the real-time clinical data to form a complete patient clinical data file, cleans and formats the patient's clinical data file to ensure data consistency and accuracy, and uses cluster analysis methods to analyze the data in the patient's clinical data file to identify the changing trend of the patient's condition, conduct a comprehensive assessment of the condition, analyze the patient's physiological indicators and laboratory test results, monitor the patient's condition development trend, and compare the patient's historical clinical data with the real-time clinical data to find out the differences and changes between the data, evaluate the long-term changes in the patient's condition, identify the stable period, progressive period and deterioration period of the condition, and provide a basis for adjusting the treatment plan;

[0065] The risk dynamic assessment module dynamically assesses the patient's condition and treatment effect based on the identification results of potential risks and problems, combined with the patient's historical clinical data, and then analyzes the severity of the patient's abnormal condition, provides risk warnings to nursing staff, and guides clinical decision-making;

[0066] The nursing intervention module understands the patient's current status based on data analysis and dynamic risk assessment results, and formulates nursing intervention measures in combination with historical nursing measures to improve the pertinence and effectiveness of nursing and improve the patient's treatment effect and satisfaction;

[0067] The patient monitoring module is used to continuously monitor the patient's physiological state, including vital signs and laboratory test results, and to feed back the monitoring and analysis results to nursing staff and patients, providing real-time nursing advice to ensure the safety of patients during treatment so as to adjust the nursing plan in time. By continuously monitoring the patient's physiological parameters and PICC catheter-related data, nursing staff can respond to changes in patient needs in a timely manner, and can effectively identify and prevent PICC catheter-related complications so as to detect abnormal conditions in time and take intervention measures, thereby reducing the risk of complications and improving patient safety. It is convenient for nursing staff to formulate personalized nursing plans more accurately, improve the pertinence and effectiveness of nursing, and improve patient treatment outcomes.

[0068] The second embodiment is based on the first embodiment. Figure 3 As shown in the figure, in the risk dynamic assessment module, the process of risk dynamic assessment includes:

[0069] Based on the results of the real-time data analysis module, the risk data of the PICC catheter indwelling process is extracted to identify potential risks and problems, such as catheter indwelling time, catheter position offset, number of catheter blockages, etc., and combined with the patient's historical clinical data to identify long-term risk factors. According to the identified potential risks and problems, combined with the patient's historical clinical data, the patient's physiological parameter data and PICC catheter risk data are comprehensively analyzed, and the risk assessment value is calculated in combination with the number of catheter blockages and catheter indwelling time. The patient's condition and treatment effect are dynamically evaluated, and the severity of the patient's abnormal condition is analyzed. Different risk levels are set in combination with the risk assessment value and historical clinical data, which are low risk level, medium risk level and high risk level, respectively. The warning threshold of the corresponding risk assessment value is set for each risk level. When the risk assessment value exceeds the warning threshold, the warning is triggered, and an alarm prompt is issued through sound, light, and screen display to warn medical staff. Among them, green represents low risk, yellow represents medium risk, and red represents high risk. The patient's risk assessment value and current risk level can be displayed on the system screen in real time;

[0070] Furthermore, the calculation expression of the risk assessment value is:

[0071] ;

[0072] in, is the risk assessment value, For the The actual observed value of the physiological parameter, For the The baseline threshold of each physiological parameter, is the total number of physiological parameters, is the number of catheter blockages, and are the maximum and minimum values ​​of the number of catheter blockages, respectively, and are used to calculate the fluctuation range of the data. It is the baseline value of the number of catheter blockages and is used to evaluate whether the data deviates from the normal range. is the adjustment coefficient used to control the influence of catheter indwelling time on the risk assessment value. The catheter indwelling time, The value range is limited to between 0 and 1. The closer the value is to 0, the higher the risk; the closer the value is to 1, the lower the risk. When the patient's physiological parameters differ greatly from the baseline value, or the relevant data of the PICC catheter deviates greatly from the normal range, The value will approach 0, indicating a higher risk. When the patient's physiological parameters are close to the baseline value and the relevant data of the PICC catheter are within the normal range, The value will approach 1, indicating a lower risk, and as the catheter indwelling time increases (if is a positive number), The value will gradually decrease, indicating that the risk is gradually increasing, reflecting the negative impact of catheter indwelling time on risk assessment. By analyzing physiological parameters and PICC catheter risk data and calculating the risk assessment value, it is possible to dynamically evaluate the patient's condition and treatment effect, analyze the severity of the patient's abnormal condition, and help nursing staff identify possible problems of patients earlier, take preventive and intervention measures in time, and thus improve the pertinence and effectiveness of nursing care;

[0073] Furthermore, the numerical value of the risk assessment value and the preset warning threshold of the risk level are obtained to match the three risk levels, which are:

[0074] Low risk level: The patient's physiological parameters and PICC catheter-related data were within the normal range and showed no significant abnormalities compared with historical data;

[0075] Medium risk level: ; Some of the patient's physiological parameters or PICC catheter-related data show slight abnormalities, but have not yet reached the level that requires immediate intervention;

[0076] High risk level: ; Significant abnormalities in the patient's physiological parameters or PICC catheter-related data may endanger the patient's health and safety and require immediate intervention;

[0077] in, is the risk assessment value, is the lower threshold corresponding to the low risk level and the upper threshold corresponding to the medium risk level, The lower threshold corresponding to the medium risk level and the upper threshold corresponding to the high risk level;

[0078] In the nursing intervention module, the process of formulating nursing intervention measures includes:

[0079] Review the data analysis and risk dynamic assessment results to understand the patient's current status, including physiological parameters, laboratory test results, and PICC catheter-related data; analyze the patient's historical nursing records, including previous nursing measures and treatment effects, to identify effective nursing methods and areas for improvement; and assess the patient's nursing needs based on the patient's current status and historical nursing measures, determine the focus and goals of nursing; combine data analysis results and risk assessment to develop targeted nursing intervention measures, including adjusting the catheter position, changing dressings, and administering anticoagulants; develop a detailed nursing plan, including the specific steps of the intervention measures, implementation schedule, and responsibility allocation; and implement the developed nursing plan;

[0080] In the patient monitoring module, the process of continuously monitoring the patient's physiological status includes:

[0081] According to the patient's condition and treatment needs, a monitoring plan is formulated, including the physiological parameters and laboratory examination items that need to be monitored, and the required monitoring equipment is configured to collect the patient's physiological parameter data in real time, including heart rate, blood pressure, blood oxygen saturation, body temperature, etc., and regularly collect blood and urine samples from patients and send them to the laboratory for testing. Pay attention to the key laboratory test results of blood routine, urine routine, and biochemical indicators, and promptly discover and deal with abnormal indicators, such as increased white blood cell count, electrolyte imbalance, etc. The monitored vital signs data and laboratory test results are recorded in the electronic medical record, and the measurement time, measurement site, and measurement value information are noted when recording to ensure the accuracy and traceability of the data. The collected data is analyzed to identify abnormalities and trend changes, and the monitoring results are fed back to nursing staff in real time so that nursing measures can be adjusted according to the data.

[0082] Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field and related fields without creative work should fall within the scope of protection of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention are implemented according to the conventional means in the field unless otherwise specified and limited.

Claims

1. A nursing quality monitoring system based on real-time data collection of PICC catheters, characterized in that: The system includes a data acquisition module, a real-time analysis module, a long-term tracking module, a risk dynamic assessment module, a nursing intervention module and a patient monitoring module, wherein the modules are connected by electrical signals; The data acquisition module is used to collect clinical data related to the PICC catheter in real time, including catheter position, indwelling time and patient physiological parameters; The real-time analysis module performs instant analysis on clinical data collected in real time to identify potential risks and problems; The long-term tracking module tracks the patient's condition over a long period of time by comparing the patient's historical clinical data with the real-time clinical data, and analyzes the changing trend of the patient's condition; The risk dynamic assessment module dynamically assesses the patient's condition and treatment effect based on the identification results of potential risks and problems, combined with the patient's historical clinical data, and then analyzes the severity of the patient's abnormal condition; The nursing intervention module understands the patient's current status based on data analysis and risk dynamic assessment results, and formulates nursing intervention measures in combination with historical nursing measures; The patient monitoring module is used to continuously monitor the patient's physiological state and feed back the monitoring and analysis results to the nursing staff and the patient.

2. A nursing quality monitoring system based on real-time data collection of PICC catheter according to claim 1, characterized in that: In the data collection module, the clinical data collection process includes: Before catheterization, the patient is fully evaluated, including blood tests, electrocardiograms, and chest X-rays to determine whether the patient is suitable for PICC catheterization, and to assess the patient's blood flow, skin, and blood vessel conditions to select the catheterization site; According to the standard PICC catheterization process, the catheter is inserted from the antecubital vein along the blood vessel into the superior vena cava. After the catheterization is completed, a chest X-ray is performed to confirm whether the tip of the catheter is correctly located in the superior vena cava. The catheter position data is recorded in the data acquisition module. After the catheter is placed, the start time of the catheter placement is recorded. During the placement period, the catheter placement status is continuously monitored. When the catheter needs to be removed, the end time of the catheter placement is recorded. The total catheter placement time is simultaneously calculated and recorded. The physiological parameter detection device is connected to the data acquisition module, the patient's physiological parameters are collected in real time through the detection device, and the collected data is transmitted to the data acquisition module in real time.

3. A nursing quality monitoring system based on real-time data collection of PICC catheter according to claim 2, characterized in that: In the real-time analysis module, the process of identifying potential risks and problems includes: Receive clinical data of catheter position, catheter indwelling time, and patient physiological parameters collected in real time from the data acquisition module, and pre-process the received raw data, including data cleaning and formatting; Based on the collected catheter-related clinical data, determine the catheter indwelling time, catheter position deviation, and catheter blockage times, and analyze the risk interference degree of catheter position deviation and catheter blockage times; Based on clinical experience, baseline thresholds are set for various physiological parameters, and statistical methods are used to calculate and analyze the pre-processed physiological parameter data to obtain an abnormality identification index to quantify the degree of abnormality of the patient's physiological parameters; Set the abnormal threshold T, combine it with the abnormal identification index to analyze the real-time data instantly, identify abnormal data points, mark them as potential risks, and then identify the specific problems that the patient currently has, and prioritize them according to the severity and urgency of the problems; When the abnormal identification index exceeds the set abnormal threshold, the real-time analysis module automatically issues an alarm prompt through sound, light, and screen display, and provides intervention suggestions including adjusting the catheter position, changing the dressing, and administering anticoagulants based on the identified problem.

4. A nursing quality monitoring system based on real-time data collection of PICC catheter according to claim 3, characterized in that: The calculation expression of the abnormal identification index is: ； in, is the anomaly recognition index, For the The actual observed value of the physiological parameter, For the The baseline threshold of each physiological parameter, For the The standard deviation of physiological parameters, is the total number of physiological parameters, For the The absolute difference between the actual observed value of a physiological parameter and the reference threshold, The value range is limited to between 0 and 1. The closer the value is to 0, the closer the patient's physiological parameters are to the normal range and the lower the degree of abnormality.

5. A nursing quality monitoring system based on real-time data collection of PICC catheter according to claim 4, characterized in that: In the long-term tracking module, the analysis process of the patient's condition change trend includes: Collect patients' historical clinical data from electronic medical record systems, paper medical records, and laboratory test results, and extract patients' clinical data collected in real time through the data collection module, integrate historical clinical data and real-time clinical data to form a complete patient clinical data file; Apply cluster analysis to analyze the data in the patient's clinical data archive to identify the changing trend of the patient's condition and conduct a comprehensive assessment of the condition; Analyze the patient's physiological indicators and laboratory test results, monitor the patient's disease development trend, and compare the patient's historical clinical data and real-time clinical data to find out the differences and changes between the data, evaluate the long-term changes in the patient's condition, and identify the stable period, progressive period, and deterioration period of the disease.

6. A nursing quality monitoring system based on real-time data collection of PICC catheter according to claim 5, characterized in that: In the risk dynamic assessment module, the process of risk dynamic assessment includes: Based on the results of the real-time data analysis module, risk data of the PICC catheter indwelling process is extracted to identify potential risks and problems, and combined with the patient's historical clinical data to identify long-term risk factors; Based on the identified potential risks and problems, combined with the patient's historical clinical data, the patient's physiological parameter data and PICC catheter risk data are comprehensively analyzed, and the risk assessment value is calculated based on the number of catheter blockages and catheter indwelling time. The patient's condition and treatment effect are dynamically evaluated, and the severity of the patient's abnormal condition is analyzed; Different risk levels are set based on risk assessment values ​​and historical clinical data, namely low risk level, medium risk level and high risk level; A warning threshold corresponding to the risk assessment value is set for each risk level. When the risk assessment value exceeds the warning threshold, the warning is triggered and an alarm prompt is issued through sound, light, and screen display to warn medical staff. Green indicates low risk, yellow indicates medium risk, and red indicates high risk.

7. A nursing quality monitoring system based on real-time data collection of PICC catheter according to claim 6, characterized in that: The calculation expression of the risk assessment value is: ； in, is the risk assessment value, For the The actual observed value of the physiological parameter, For the The baseline threshold of each physiological parameter, is the total number of physiological parameters, is the number of catheter blockages, and are the maximum and minimum values ​​of the number of catheter blockages, respectively, and are used to calculate the fluctuation range of the data. is the baseline value of the number of catheter blockages, is the adjustment coefficient used to control the influence of catheter indwelling time on the risk assessment value. The catheter indwelling time, The value range is limited to between 0 and 1.

8. A nursing quality monitoring system based on real-time data collection of PICC catheter according to claim 7, characterized in that: The numerical value of the risk assessment value and the preset warning threshold of the risk level are obtained to match the three risk levels, which are: Low risk level: ; Medium risk level: ; High risk level: ; in, is the risk assessment value, is the lower threshold corresponding to the low risk level and the upper threshold corresponding to the medium risk level, The lower threshold corresponding to the medium risk level and the upper threshold corresponding to the high risk level.

9. A nursing quality monitoring system based on real-time data collection of PICC catheter according to claim 8, characterized in that: In the nursing intervention module, the process of formulating nursing intervention measures includes: Traverse the data analysis and risk dynamic assessment results to understand the patient's current status, including physiological parameters, laboratory test results, and PICC catheter related data; Analyze the patient's historical nursing records, including previous nursing interventions and treatment outcomes, to identify effective nursing methods and areas for improvement, and assess the patient's nursing needs and determine the focus and goals of nursing based on the patient's current status and historical nursing interventions; Integrate data analysis results with risk assessment to develop targeted nursing interventions, formulate nursing plans that include specific steps for interventions, implementation schedules, and allocation of responsibilities, and implement the formulated nursing plans.

10. A nursing quality monitoring system based on real-time data collection of PICC catheter according to claim 9, characterized in that: In the patient monitoring module, the process of continuously monitoring the patient's physiological state includes: Develop a monitoring plan based on the patient's condition and treatment needs, including the physiological parameters and laboratory test items to be monitored, and configure the necessary monitoring equipment; Collect the patient's physiological parameter data in real time, and regularly collect the patient's blood and urine samples and send them to the laboratory for testing; Record the monitored vital signs data and laboratory test results in the electronic medical record, indicating the measurement time, measurement site, and measurement value information; The collected data is analyzed to identify anomalies and trend changes, and the monitoring results are fed back to nursing staff in real time so that nursing measures can be adjusted based on the data.

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