Continuous dynamic blood glucose monitoring management method in intensive care unit

Abstract

The invention discloses a continuous dynamic blood glucose monitoring management method in an intensive care unit, which relates to the technical field of data analysis and processing, and comprises the following steps: collecting blood glucose data of a patient in real time, and setting blood glucose correction frequency based on the blood glucose data; calculating the dose of insulin used by the patient based on the corrected and collected blood glucose data; determining a blood glucose fluctuation range in the patient based on the blood glucose fluctuation adjustment value, determining a blood glucose level range according to the blood glucose value of the patient, and formulating a patient treatment scheme; displaying blood glucose monitoring and insulin treatment data in real time, and generating a patient data report; and establishing a remote cooperation platform, and carrying out data sharing and real-time communication cooperation. According to the method, the blood glucose data of the patient is detected through the continuous dynamic blood glucose detector, the pain of the patient is relieved, medical workers do not need to inject insulin manually through automatic insulin infusion, the working efficiency and the treatment experience of the patient are improved, and the medical workers are helped to master the blood glucose condition of the patient through a whole-process monitoring display interface.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis and processing, and in particular to a continuous dynamic blood glucose monitoring management method in an intensive care unit. Background Art

[0002] With the rapid development of medical technology, the management level of patients in the intensive care unit (ICU) has been significantly improved. However, for diabetic patients or other critically ill patients who need to strictly control blood sugar levels, blood sugar monitoring and management still face many challenges. In the clinical work of the ICU, various critically ill patients are often encountered. Such patients often have high or low blood sugar due to stress or the disease itself.

[0003] The traditional treatment method is that the intensive care unit physician issues medical orders to monitor blood sugar every 0.5 / 1 / 2 / 3 / 4 / 6 / 8 / 12 hours and at fixed times according to the severity of the patient's illness. The nursing staff follows the doctor's orders to collect blood sugar from the patient's fingertips at the corresponding time and record the blood sugar. After the blood sugar collection is completed, the physician determines whether to treat the blood sugar based on the blood sugar value, inject insulin or glucose into the patient. This traditional method has high labor costs and low efficiency for medical staff. Medical staff frequently inject insulin and glucose, which increases the pain of patients. Summary of the invention

[0004] In view of the problems existing in the above-mentioned existing continuous dynamic blood glucose monitoring management method in an intensive care unit, the present invention is proposed.

[0005] Therefore, the problem to be solved by the present invention is that the nursing staff collects blood sugar from the patient's fingertips at the corresponding time according to the doctor's instructions and records it in a book. After the blood sugar collection is completed, the doctor determines whether to treat the blood sugar based on the blood sugar value, injects insulin or glucose into the patient. Such traditional method has high labor cost and low efficiency for the work of medical staff. Medical staff need to frequently inject insulin and glucose, which increases the pain of patients.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a continuous dynamic blood glucose monitoring management method in an intensive care unit, comprising:

[0007] Collect patients' blood sugar data in real time and set blood sugar correction frequency based on blood sugar data;

[0008] Calculate the insulin dosage for patients based on the corrected blood sugar data;

[0009] Determine the blood sugar fluctuation range in the patient based on the blood sugar fluctuation adjustment value, determine the blood sugar level range based on the patient's blood sugar value, and formulate a treatment plan for the patient;

[0010] Display blood glucose monitoring and insulin treatment data in real time and generate patient data reports;

[0011] Establish a remote collaboration platform for data sharing and real-time communication and collaboration.

[0012] As a preferred solution of the continuous dynamic blood glucose monitoring management method in the intensive care unit of the present invention, the real-time collection of patient blood glucose data includes:

[0013] Collect patient blood sugar data in real time based on continuous dynamic blood sugar monitor;

[0014] The small probe of the continuous dynamic blood glucose monitor is inserted into the subcutaneous interstitial fluid of the abdomen and upper arm. The glucose sensor of the continuous dynamic blood glucose monitor is used to react the glucose oxidase inside the glucose sensor with the glucose in the patient's subcutaneous interstitial fluid to generate gluconolactone and hydrogen peroxide. The electrode in the glucose sensor detects the concentration of hydrogen peroxide, and the change of the current signal reflects the concentration of glucose.

[0015] The glucose sensor converts the generated current signal into a digital signal through a microprocessor, and the digital signal is displayed as blood glucose data on the continuous blood glucose monitor.

[0016] As a preferred solution of the continuous dynamic blood glucose monitoring management method in an intensive care unit of the present invention, wherein: the blood glucose correction frequency is set based on blood glucose data, including:

[0017] Based on the patient's blood glucose data, the fluctuation amplitude integral is calculated and expressed as:

[0018]

[0019] Where G(t) is the blood glucose level at time t, ΔG(t) is the difference between the maximum and minimum values ​​of blood glucose fluctuation, and T D is the time frequency, X is T D Blood sugar fluctuation range within a time period;

[0020] The blood glucose correction frequency is calculated based on the patient's daily data and blood glucose fluctuation amplitude value, expressed as:

[0021]

[0022] Among them, H is the blood sugar correction frequency, K is the basic correction frequency, N D is the number of meals per day, and V is the patient’s daily exercise volume;

[0023] Blood glucose correction is performed based on the calculated blood glucose correction frequency. The actual blood glucose value is read and recorded through a standard fingertip blood sampling device. The continuous dynamic blood glucose monitor is calibrated and adjusted according to the actual blood glucose value, and the patient's blood glucose data is recollected, recording the time of each correction, the actual blood glucose value and the measurement value of the continuous dynamic blood glucose monitor after correction.

[0024] As a preferred solution of the continuous dynamic blood glucose monitoring management method in the intensive care unit of the present invention, wherein: the calculation of the insulin dosage used by the patient based on the corrected blood glucose data collected includes:

[0025] Based on the corrected blood glucose data, the patient's cumulative blood glucose value is calculated by weighted integration, expressed as:

[0026]

[0027] Where T is a past time point, t is the current time point, G(T) is the blood glucose value at the past time point T, α is the insulin metabolism rate constant, T 12 is the half-life of insulin, ln2 is the constant of natural logarithm, and F is the cumulative blood glucose value of the patient;

[0028] According to the diabetes diagnosis and treatment guidelines, the patient's high blood sugar range AB is set, A is the lowest value of the high blood sugar range, B is the highest value of the high blood sugar range, and the blood sugar fluctuation adjustment value is calculated by normalizing the blood sugar at the current time point t, which is expressed as:

[0029]

[0030] Where P is the blood sugar fluctuation adjustment value, B(t) is the blood sugar value at the current time point t, β is the blood sugar fluctuation adjustment coefficient, k is the fluctuation coefficient, ΔB is the blood sugar fluctuation range of historical clinical blood sugar data, ΔI is the insulin dose change of historical clinical blood sugar data, and B max is the highest blood sugar value collected by blood sugar data, B min is the lowest blood glucose value collected, μ is the average blood glucose value collected by blood glucose data;

[0031] The insulin dose is calculated by the blood sugar cumulative value and the blood sugar fluctuation adjustment value, expressed as:

[0032]

[0033] Where I(t) is the insulin dose at time t, ISF is the insulin sensitivity factor, which indicates the blood sugar level that can be lowered by each unit of insulin, 1800 is an empirical constant, and TDD is the total amount of insulin used by the patient per day.

[0034] As a preferred solution of the continuous dynamic blood glucose monitoring management method in an intensive care unit of the present invention, wherein: the blood glucose fluctuation range of the patient based on the blood glucose fluctuation adjustment value is determined, including:

[0035] The blood glucose fluctuation value is calculated by the blood glucose fluctuation adjustment value, which is expressed as:

[0036]

[0037] Among them, N is the number of times the continuous dynamic blood glucose monitor collects data, μ is the average blood glucose value collected, G(i) is the blood glucose value collected for the ith time, is the blood sugar fluctuation value;

[0038] Based on the historical blood sugar measurement data of patients, calculate the average of the patient's blood sugar fluctuation value and standard deviation The low fluctuation threshold S is set by the mean and standard deviation of the patient's blood sugar fluctuation value. min and high fluctuation threshold S max , expressed as:

[0039]

[0040] Based on the low fluctuation threshold S min and high fluctuation threshold S max The patient's blood sugar fluctuations Compare and judge the degree of blood sugar fluctuation of patients:

[0041] If σ is less than or equal to S min When , it means that the patient's blood sugar fluctuation range is low;

[0042] If σ is greater than S min Less than or equal to S max When , it means that the patient's blood sugar fluctuation range is low;

[0043] If σ is greater than S max When , it indicates that the patient's blood sugar fluctuation range is high and blood sugar control is unstable.

[0044] As a preferred solution of the continuous dynamic blood glucose monitoring management method in the intensive care unit of the present invention, wherein: the blood glucose level range is determined according to the patient's blood glucose value, and a patient treatment plan is formulated,

[0045] include,

[0046] Based on the patient's average blood sugar value μ, blood sugar fluctuation value Calculate the patient's normal blood sugar range, expressed as:

[0047]

[0048] Among them, L min The lowest value of the patient's normal blood sugar range, L max is the highest value of the normal blood sugar range of the patient, B(t) is the blood sugar value at the current time point t, a is the patient's weight, b is the patient's height, and c is the patient's age;

[0049] Based on the patient's blood sugar level and the normal blood sugar range L min -L max And high blood sugar range AB to assess the patient's blood sugar level:

[0050] If the patient's blood sugar level is lower than L min When , it means that the patient's blood sugar is lower than the normal blood sugar range and is at a hypoglycemic level;

[0051] If the patient's blood sugar level is within the normal blood sugar range, min -L max , indicating that the patient's blood sugar is within a safe range and at normal blood sugar levels;

[0052] If the patient's blood sugar value is in the hyperglycemic range AB, it means that the patient's blood sugar is higher than the normal blood sugar range and is at a high blood sugar level;

[0053] If the patient's blood sugar value is higher than B, it means that the patient's blood sugar is higher than the hyperglycemia range and is at an extremely high hyperglycemia level;

[0054] Develop a treatment plan for the patient based on the patient's blood sugar level:

[0055] If the patient is at a low blood sugar level or extremely high blood sugar level, the medical staff will perform manual operations on the patient, observe the patient's symptoms, give the patient emergency medication, and balance the patient's blood sugar level until it returns to the normal blood sugar range. min -L max ;

[0056] If the patient has normal blood sugar levels, no operation is required;

[0057] If the patient has a high blood sugar level, the insulin dose is calculated according to the patient's blood sugar level, and the patient's blood sugar level is lowered by intravenous injection of insulin until it returns to the normal blood sugar range. min -L max .

[0058] As a preferred solution of the continuous dynamic blood glucose monitoring management method in the intensive care unit of the present invention, the real-time display of blood glucose monitoring and insulin treatment data and the generation of patient reports include:

[0059] Receive patient blood sugar data, insulin treatment data, and alarm information in real time via Bluetooth and Wi-Fi. Use the React modern JavaScript library and Vue progressive JavaScript framework to build a blood sugar monitoring display interface.

[0060] The blood sugar monitoring display interface includes real-time blood sugar monitoring, insulin treatment data monitoring, alarm records, and patient reports;

[0061] Real-time blood glucose monitoring uses the Chart.js data visualization library to record and display the patient's blood glucose data, providing detailed lists, line graphs to display time trends, and fan charts and pie charts to display the patient's real-time blood glucose data change trends;

[0062] Insulin therapy data monitoring is the data record of the patient's use of insulin therapy, including the remaining amount of insulin in the drug reservoir;

[0063] The alarm records are the hypoglycemia warning and hyperglycemia warning records during the patient's treatment process;

[0064] Hypoglycemia warning means that the blood sugar level in the patient is lower than the minimum value of the normal blood sugar range. min ;

[0065] Hyperglycemia warning means that the blood sugar level in the patient is higher than the highest value B in the hyperglycemia range;

[0066] Medical staff release the alarm according to the alarm information;

[0067] Based on the JasperReports report generation tool, patient data reports are generated according to the blood sugar data and insulin treatment data selected by medical staff.

[0068] As a preferred solution of the continuous dynamic blood glucose monitoring management method in the intensive care unit of the present invention, wherein: the establishment of a remote collaboration platform for data sharing and real-time communication and collaboration includes:

[0069] The patient's blood glucose monitoring and insulin treatment data are transmitted in real time through the API communication protocol, and the patient's treatment data and personal information are recorded and managed based on the MySQL database;

[0070] Based on the patient's treatment data and personal information, a remote collaboration platform is built through the Microsoft Azure cloud computing service platform, including data sharing, real-time communication, and resource allocation;

[0071] Data sharing uses the Advanced Encryption Standard and Transport Layer Security Protocol to transmit patient data and maintain confidentiality, allowing medical staff to view patient blood sugar monitoring and insulin treatment data online;

[0072] Real-time communication allows medical staff to communicate about the patient's treatment status based on the TigerText application, and supports remote consultation, allowing medical staff to jointly participate in the formulation of the patient's treatment plan online;

[0073] Resource allocation allows medical staff to flexibly allocate medical resources based on patients' blood sugar data and insulin treatment data.

[0074] A computer device comprises: a memory and a processor; the memory stores a computer program, and the processor implements the steps of a continuous dynamic blood glucose monitoring management method in an intensive care unit when executing the computer program.

[0075] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a continuous dynamic blood glucose monitoring management method in an intensive care unit.

[0076] The beneficial effects of the present invention are as follows: the patient's blood sugar data is detected by a continuous dynamic blood sugar monitor, which is much higher than the monitoring frequency of traditional blood sugar meters and more accurately reflects the fluctuation of blood sugar levels; blood sugar is monitored by a subcutaneous probe, which reduces the patient's pain and inconvenience; setting the blood sugar correction frequency based on blood sugar data helps to reduce errors; calculating the insulin dose helps to better control blood sugar levels; based on the patient's real-time blood sugar level, intravenous insulin infusion saves medical staff from manually injecting insulin, thereby improving work efficiency and the patient's treatment experience; through early warning settings, medical staff are notified to perform emergency intervention, improving the patient's safety and treatment quality; and the full-process monitoring display interface is used to help medical staff quickly understand the patient's blood sugar and insulin treatment status. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0078] Figure 1 A flowchart of a continuous dynamic blood glucose monitoring management method in an intensive care unit.

[0079] Figure 2 A schematic diagram of a treatment plan flow for a continuous dynamic blood glucose monitoring management method in an intensive care unit. DETAILED DESCRIPTION

[0080] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings.

[0081] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0082] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0083] Example 1

[0084] Reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, and provides a continuous dynamic blood glucose monitoring management method in an intensive care unit. The continuous dynamic blood glucose monitoring management method in an intensive care unit includes:

[0085] S1, collect blood sugar data of patients in real time and set blood sugar correction frequency based on the blood sugar data;

[0086] Preferably, real-time collection of patient blood sugar data includes:

[0087] Collect patient blood sugar data in real time based on continuous glucose monitor (CGM);

[0088] The small probe of the continuous dynamic blood glucose monitor is inserted into the subcutaneous interstitial fluid of the abdomen and upper arm. The glucose sensor of the continuous dynamic blood glucose monitor is used to react the glucose oxidase (GOx) inside the glucose sensor with the glucose in the patient's subcutaneous interstitial fluid to generate gluconolactone and hydrogen peroxide. The electrode in the glucose sensor detects the concentration of hydrogen peroxide, and the change of the current signal reflects the concentration of glucose.

[0089] The glucose sensor converts the generated current signal into a digital signal through a microprocessor (ADC), and the digital signal is displayed as blood glucose data on the continuous blood glucose monitor.

[0090] Continuous blood glucose monitors can provide blood glucose readings every few minutes, which is much higher than the monitoring frequency of traditional blood glucose meters, thereby more accurately reflecting fluctuations in blood glucose levels. Blood glucose is monitored through subcutaneous probes, eliminating the need for frequent finger blood draws, alleviating patients' pain and inconvenience. Through continuous blood glucose monitoring, patients and medical staff can better understand blood glucose control, adjust insulin doses and other treatment plans, thereby improving diabetes management. The use of continuous blood glucose monitors can increase patients' awareness of their own blood glucose levels. The data obtained from continuous blood glucose monitors can help patients better understand the effects of diet, exercise, and medications on blood glucose levels, thereby adjusting their lifestyles to achieve better blood glucose control.

[0091] Further, the blood sugar correction frequency is set based on the blood sugar data, including:

[0092] Based on the patient's blood glucose data, the fluctuation amplitude integral is calculated and expressed as:

[0093]

[0094] Where G(t) is the blood glucose level at time t, ΔG(t) is the difference between the maximum and minimum values ​​of blood glucose fluctuation, and T D is the time frequency, set to 24 hours, X is T D Blood sugar fluctuation range within a time period;

[0095] The blood glucose correction frequency is calculated based on the patient's daily data and blood glucose fluctuation amplitude value, expressed as:

[0096]

[0097] Where H is the blood glucose correction frequency (times / 24 hours), K is the basic correction frequency (1 time / 24 hours), N D is the number of meals per day, and V is the patient’s daily exercise volume;

[0098] Blood glucose correction is performed based on the calculated blood glucose correction frequency. The actual blood glucose value is read and recorded through a standard fingertip blood sampling device. The continuous dynamic blood glucose monitor is calibrated and adjusted according to the actual blood glucose value, and the patient's blood glucose data is recollected, recording the time of each correction, the actual blood glucose value and the measurement value of the continuous dynamic blood glucose monitor after correction.

[0099] Setting the frequency of blood sugar correction helps reduce errors and maintain the stability of continuous blood sugar monitors. Accurate blood sugar data is the basis for formulating and adjusting diabetes treatment plans. Regular correction takes into account the number of daily meals and daily exercise data, making the correction frequency closer to the patient's actual living conditions and improving the scientificity and practicality of blood sugar management. Regular correction ensures the reliability of data, which helps medical personnel make more reasonable treatment decisions. By recording the time of each correction, the actual blood sugar value and the corrected measurement value, medical personnel can analyze the patient's blood sugar change pattern and formulate a personalized treatment plan for the patient.

[0100] S2, calculates the insulin dosage used by the patient based on the corrected blood glucose data;

[0101] Preferably, the insulin dosage used by the patient is calculated based on the corrected blood sugar data collected, including calculating the patient's blood sugar cumulative value by weighted integration based on the corrected blood sugar data collected, expressed as:

[0102]

[0103] Where T is a past time point, t is the current time point, G(T) is the blood glucose value at the past time point T, α is the insulin metabolism rate constant, T 12 is the half-life of insulin, ln2 is the constant of natural logarithm, and F is the cumulative blood glucose value of the patient;

[0104] According to the diabetes diagnosis and treatment guidelines, the patient's high blood sugar range AB is set, A is the lowest value of the high blood sugar range, B is the highest value of the high blood sugar range, and the blood sugar fluctuation adjustment value is calculated by normalizing the blood sugar at the current time point t, which is expressed as:

[0105]

[0106] Where P is the blood sugar fluctuation adjustment value, B(t) is the blood sugar value at the current time point t, β is the blood sugar fluctuation adjustment coefficient, k is the fluctuation coefficient, ΔB is the blood sugar fluctuation range of historical clinical blood sugar data, ΔI is the insulin dose change of historical clinical blood sugar data, and B max is the highest blood sugar value collected by blood sugar data, B min is the lowest blood glucose value collected, μ is the average blood glucose value collected by blood glucose data;

[0107] The insulin dose is calculated by the blood sugar cumulative value and the blood sugar fluctuation adjustment value, expressed as:

[0108]

[0109] Where I(t) is the insulin dose at time t, ISF is the insulin sensitivity factor, which indicates the blood sugar level that can be lowered per unit of insulin, 1800 is an empirical constant (1800 is an empirical constant obtained by regression analysis of data of patients with different blood sugar levels in a medical clinical trial), and TDD is the total amount of insulin used by the patient per day.

[0110] Through real-time and historical blood sugar data, the required insulin dosage can be calculated more accurately, which helps to better control blood sugar levels. By accurately predicting the insulin dosage, hypoglycemia events caused by excessive insulin and hyperglycemia events caused by insufficient insulin can be reduced. The calculation formula takes into account the metabolic rate and half-life of insulin, which helps to optimize the administration time and dosage of insulin and improve the efficiency of insulin use. Medical personnel can make more scientific clinical decisions by calculating the insulin dosage and combining it with the patient's specific situation.

[0111] S3, determining the blood sugar fluctuation range in the patient based on the blood sugar fluctuation adjustment value, determining the patient's level range according to the patient's blood sugar value, and formulating a treatment plan for the patient;

[0112] Preferably, determining the blood sugar fluctuation range in the patient based on the blood sugar fluctuation adjustment value includes:

[0113] The blood glucose fluctuation value is calculated by the blood glucose fluctuation adjustment value, which is expressed as:

[0114]

[0115] Among them, N is the number of times the continuous dynamic blood glucose monitor collects data, μ is the average blood glucose value collected, G(i) is the blood glucose value collected for the ith time, is the blood sugar fluctuation value, the larger the value is, the greater the fluctuation of the corrected blood sugar value is;

[0116] Based on the historical blood sugar measurement data of patients, calculate the average of the patient's blood sugar fluctuation value and standard deviation The low fluctuation threshold S is set by the mean and standard deviation of the patient's blood sugar fluctuation value. min and high fluctuation threshold S max , expressed as:

[0117]

[0118] Based on the low fluctuation threshold S min and high fluctuation threshold S max The patient's blood sugar fluctuations Compare and judge the degree of blood sugar fluctuation of patients:

[0119] If σ is less than or equal to S minWhen the patient's blood sugar fluctuation range is low, the blood sugar processing time interval is set to every 4 to 6 hours;

[0120] If σ is greater than S min Less than or equal to S max When the patient's blood sugar fluctuation range is low, the blood sugar processing time interval is set to every 2 hours to 4 hours;

[0121] If σ is greater than S max It indicates that the patient's blood sugar fluctuation range is high and blood sugar control is unstable. Set the blood sugar processing time interval to every 0.5 hour to 1 hour.

[0122] By calculating the patient's blood sugar fluctuation value, we can more accurately understand the blood sugar change pattern of each patient, thereby achieving personalized blood sugar management. Adjusting the blood sugar treatment time interval according to the patient's blood sugar fluctuation level helps optimize the administration frequency and dosage of insulin and other hypoglycemic drugs and improve the treatment effect. Reasonable blood sugar monitoring and treatment time intervals can reduce the burden of frequent blood sugar monitoring for patients and improve their quality of life. Using historical patient blood sugar measurement data to calculate the mean and standard deviation and set fluctuation thresholds, this data-driven approach helps improve the scientificity and accuracy of decision-making.

[0123] Furthermore, the blood sugar level range is determined based on the patient's blood sugar value, and a treatment plan is formulated for the patient, including,

[0124] Based on the patient's average blood sugar value μ, blood sugar fluctuation value Calculate the patient's normal blood sugar range, expressed as:

[0125]

[0126] Among them, L min The lowest value of the patient's normal blood sugar range, L max is the highest value of the normal blood sugar range of the patient, B(t) is the blood sugar value at the current time point t, a is the patient's weight, b is the patient's height, and c is the patient's age;

[0127] Based on the patient's blood sugar level and the normal blood sugar range L min -L max And high blood sugar range AB to assess the patient's blood sugar level:

[0128] If the patient's blood sugar level is lower than L min When , it means that the patient's blood sugar is lower than the normal blood sugar range and is at a hypoglycemic level;

[0129] If the patient's blood sugar level is within the normal blood sugar range, min -L max , indicating that the patient's blood sugar is within a safe range and at normal blood sugar levels;

[0130] If the patient's blood sugar value is in the hyperglycemic range AB, it means that the patient's blood sugar is higher than the normal blood sugar range and is at a high blood sugar level;

[0131] If the patient's blood sugar value is higher than B, it means that the patient's blood sugar is higher than the hyperglycemia range and is at an extremely high hyperglycemia level;

[0132] Develop a treatment plan for the patient based on the patient's blood sugar level:

[0133] If the patient is at a low blood sugar level or extremely high blood sugar level, the medical staff will perform manual operations on the patient, observe the patient's symptoms, give the patient emergency medication, and balance the patient's blood sugar level until it returns to the normal blood sugar range. min -L max ;

[0134] If the patient has normal blood sugar levels, no operation is required;

[0135] If the patient has a high blood sugar level, the insulin dose is calculated according to the patient's blood sugar level, and the patient's blood sugar level is lowered by intravenous injection of insulin until it returns to the normal blood sugar range. min -L max .

[0136] Treatment plans are formulated based on the patient's specific blood sugar values ​​and fluctuations to ensure personalized and targeted treatment and improve treatment outcomes. In the case of hypoglycemia and extremely high blood sugar levels, manual operations and emergency drug treatment can be performed in a timely manner to prevent acute complications caused by extreme blood sugar values. By setting normal blood sugar ranges and high blood sugar ranges, it is possible to ensure that the patient's blood sugar level is within a safe range and reduce the risk of long-term complications. For patients with high blood sugar levels, intravenous insulin infusion eliminates the need for medical staff to manually inject insulin, improving work efficiency and the patient's treatment experience. Clear blood sugar level assessments and treatment plans can reduce errors in medical operations and improve medical quality. Timely and effective treatment can improve patient satisfaction and enhance patient trust in the medical team.

[0137] S4, displays blood glucose monitoring and insulin therapy data in real time and generates patient data reports;

[0138] Preferably, blood glucose monitoring and insulin therapy data are displayed in real time and a patient report is generated, including,

[0139] Receive patient blood sugar data, insulin treatment data, and alarm information in real time via Bluetooth and Wi-Fi. Use the React modern JavaScript library and Vue progressive JavaScript framework to build a blood sugar monitoring display interface.

[0140] The blood sugar monitoring display interface includes real-time blood sugar monitoring, insulin treatment data monitoring, alarm records, and patient reports;

[0141] Real-time blood glucose monitoring uses the Chart.js data visualization library to record and display the patient's blood glucose data, providing detailed lists, line graphs to display time trends, and fan charts and pie charts to display the patient's real-time blood glucose data change trends;

[0142] Insulin therapy data monitoring is the data record of the patient's use of insulin therapy, including the remaining amount of insulin in the drug reservoir;

[0143] The alarm records are the hypoglycemia warning and hyperglycemia warning records during the patient's treatment process;

[0144] Hypoglycemia warning means that the blood sugar level in the patient is lower than the minimum value of the normal blood sugar range. min ;

[0145] Hyperglycemia warning means that the blood sugar level in the patient is higher than the highest value B in the hyperglycemia range;

[0146] Medical staff perform alarm cancellation operations based on the alarm information, including manual operations on patients;

[0147] Based on the JasperReports report generation tool, patient data reports are generated according to the blood sugar data and insulin treatment data selected by medical staff.

[0148] Real-time reception of patient blood sugar data, insulin treatment data and alarm information via Bluetooth and Wi-Fi ensures the timeliness and accuracy of the data, allowing medical staff to understand the patient's condition and intervene in a timely manner. The blood sugar full-process monitoring display interface built based on React and Vue provides an intuitive and easy-to-use user interface to help medical staff quickly understand the patient's blood sugar and insulin treatment status. The Chart.js data visualization library can display the changing trend and real-time status of blood sugar data, and record hypoglycemia, hyperglycemia and insulin shortage alarm information in real time, helping medical staff to quickly identify and deal with abnormal situations, and improve the efficiency and accuracy of emergency response.

[0149] S5, establish a remote collaboration platform for data sharing and real-time communication and collaboration;

[0150] Preferably, a remote collaboration platform is established to share data and conduct real-time communication and collaboration, including:

[0151] The patient's blood glucose monitoring and insulin treatment data are transmitted in real time through the API communication protocol, and the patient's treatment data and personal information are recorded and managed based on the MySQL database;

[0152] Based on the patient's treatment data and personal information, a remote collaboration platform is built through the Microsoft Azure cloud computing service platform, including data sharing, real-time communication, and resource allocation;

[0153] Data sharing uses the Advanced Encryption Standard (AES) and Transport Layer Security (TLS) to transmit and keep patient data confidential, and medical staff can view patient blood sugar monitoring and insulin treatment data online;

[0154] Real-time communication allows medical staff to communicate about the patient's treatment status based on the TigerText application, and supports remote consultation, allowing medical staff to jointly participate in the formulation of the patient's treatment plan online;

[0155] Resource allocation allows medical staff to flexibly allocate medical resources (beds, medical equipment, and personnel) based on patients' blood sugar data and insulin treatment data.

[0156] The patient's treatment data and personal information are recorded and managed through the MySQL database to ensure the accuracy and integrity of the data, which is convenient for long-term tracking and analysis. The Advanced Encryption Standard (AES) and Transport Layer Security Protocol (TLS) are used to protect patient data to prevent unauthorized access or tampering during transmission, ensuring patient privacy. The remote collaboration platform built using the Microsoft Azure cloud computing service platform supports data sharing, real-time communication and resource allocation, allowing medical staff to collaborate effectively no matter where they are. Through real-time communication through the TigerText application, medical staff can discuss the patient's treatment status in real time, support remote consultation, jointly develop treatment plans, and improve the timeliness and accuracy of decision-making. According to the patient's blood sugar data and insulin treatment data, medical staff can flexibly allocate medical resources to ensure that resources are used most effectively.

[0157] Example 2

[0158] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0159] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0160] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0161] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0162] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for continuous dynamic blood glucose monitoring and management in an intensive care unit, characterized in that: include, Collect patients' blood sugar data in real time and set blood sugar correction frequency based on blood sugar data; Calculate the insulin dosage for patients based on the corrected blood sugar data; Determine the blood sugar fluctuation range in the patient based on the blood sugar fluctuation adjustment value, determine the blood sugar level range based on the patient's blood sugar value, and formulate a treatment plan for the patient; Display blood glucose monitoring and insulin treatment data in real time and generate patient data reports; Establish a remote collaboration platform for data sharing and real-time communication and collaboration.

2. A method for continuous dynamic blood glucose monitoring and management in an intensive care unit according to claim 1, characterized in that: The real-time collection of patient blood sugar data includes: Collect patient blood sugar data in real time based on continuous dynamic blood sugar monitor; The small probe of the continuous dynamic blood glucose monitor is inserted into the subcutaneous interstitial fluid of the abdomen and upper arm. The glucose sensor of the continuous dynamic blood glucose monitor is used to react the glucose oxidase inside the glucose sensor with the glucose in the patient's subcutaneous interstitial fluid to generate gluconolactone and hydrogen peroxide. The electrode in the glucose sensor detects the concentration of hydrogen peroxide, and the change of the current signal reflects the concentration of glucose. The glucose sensor converts the generated current signal into a digital signal through a microprocessor, and the digital signal is displayed as blood glucose data on the continuous blood glucose monitor.

3. A method for continuous dynamic blood glucose monitoring and management in an intensive care unit according to claim 2, characterized in that: The setting of blood sugar correction frequency based on blood sugar data includes: Based on the patient's blood glucose data, the fluctuation amplitude integral is calculated and expressed as: Where G(t) is the blood glucose level at time t, ΔG(t) is the difference between the maximum and minimum values ​​of blood glucose fluctuation, and T D is the time frequency, X is T D Blood sugar fluctuation range within a time period; The blood glucose correction frequency is calculated based on the patient's daily data and blood glucose fluctuation amplitude value, expressed as: Among them, H is the blood sugar correction frequency, K is the basic correction frequency, N D is the number of meals per day, and V is the patient’s daily exercise volume; Blood glucose correction is performed based on the calculated blood glucose correction frequency. The actual blood glucose value is read and recorded through a standard fingertip blood sampling device. The continuous dynamic blood glucose monitor is calibrated and adjusted according to the actual blood glucose value, and the patient's blood glucose data is recollected, recording the time of each correction, the actual blood glucose value and the measurement value of the continuous dynamic blood glucose monitor after correction.

4. A method for continuous dynamic blood glucose monitoring and management in an intensive care unit according to claim 3, characterized in that: The step of calculating the insulin dosage for the patient based on the corrected blood sugar data collected comprises: Based on the corrected blood glucose data, the patient's cumulative blood glucose value is calculated by weighted integration, expressed as: Where T is a past time point, t is the current time point, G(T) is the blood glucose value at the past time point T, α is the insulin metabolism rate constant, T 12 is the half-life of insulin, ln2 is the constant of natural logarithm, and F is the cumulative value of blood glucose of the patient; According to the diabetes diagnosis and treatment guidelines, the patient's high blood sugar range AB is set, A is the lowest value of the high blood sugar range, B is the highest value of the high blood sugar range, and the blood sugar fluctuation adjustment value is calculated by normalizing the blood sugar at the current time point t, which is expressed as: Where P is the blood sugar fluctuation adjustment value, B(t) is the blood sugar value at the current time point t, β is the blood sugar fluctuation adjustment coefficient, k is the fluctuation coefficient, ΔB is the blood sugar fluctuation range of historical clinical blood sugar data, ΔI is the insulin dose change of historical clinical blood sugar data, and B max is the highest blood sugar value collected by blood sugar data, B min is the lowest blood glucose value collected, μ is the average blood glucose value collected by blood glucose data; The insulin dose is calculated by the blood sugar cumulative value and the blood sugar fluctuation adjustment value, expressed as: Where I(t) is the insulin dose at time t, ISF is the insulin sensitivity factor, which indicates the blood sugar level that can be lowered by each unit of insulin, 1800 is an empirical constant, and TDD is the total amount of insulin used by the patient per day.

5. A method for continuous dynamic blood glucose monitoring and management in an intensive care unit according to claim 4, characterized in that: The method of determining the blood sugar fluctuation range in the patient based on the blood sugar fluctuation adjustment value includes: The blood glucose fluctuation value is calculated by the blood glucose fluctuation adjustment value, which is expressed as: Among them, N is the number of times the continuous dynamic blood glucose monitor collects data, μ is the average blood glucose value collected, G(i) is the blood glucose value collected for the ith time, is the blood sugar fluctuation value; Based on the historical blood sugar measurement data of patients, calculate the average of the patient's blood sugar fluctuation value and standard deviation The low fluctuation threshold S is set by the mean and standard deviation of the patient's blood sugar fluctuation value. min and high fluctuation threshold S max , expressed as: Based on the low fluctuation threshold S min and high fluctuation threshold S max The patient's blood sugar fluctuations Compare and judge the degree of blood sugar fluctuation of patients: If σ is less than or equal to S min When , it means that the patient's blood sugar fluctuation range is low; If σ is greater than S min Less than or equal to S max When , it means that the patient's blood sugar fluctuation range is low; If σ is greater than S max When , it indicates that the patient's blood sugar fluctuation range is high and blood sugar control is unstable.

6. A method for continuous dynamic blood glucose monitoring and management in an intensive care unit according to claim 5, characterized in that: Determining the blood sugar level range according to the patient's blood sugar value and formulating a treatment plan for the patient includes: Based on the patient's average blood sugar value μ, blood sugar fluctuation value Calculate the patient's normal blood sugar range, expressed as: Among them, L min The lowest value of the patient's normal blood sugar range, L max is the highest value of the normal blood sugar range of the patient, B(t) is the blood sugar value at the current time point t, a is the patient's weight, b is the patient's height, and c is the patient's age; Based on the patient's blood sugar level and the normal blood sugar range L min -L max And high blood sugar range AB to assess the patient's blood sugar level: If the patient's blood sugar level is lower than L min When , it means that the patient's blood sugar is lower than the normal blood sugar range and is at a hypoglycemic level; If the patient's blood sugar level is within the normal blood sugar range, min -L max , indicating that the patient's blood sugar is within a safe range and at normal blood sugar levels; If the patient's blood sugar value is in the hyperglycemic range AB, it means that the patient's blood sugar is higher than the normal blood sugar range and is at a high blood sugar level; If the patient's blood sugar value is higher than B, it means that the patient's blood sugar is higher than the hyperglycemia range and is at an extremely high hyperglycemia level; Develop a treatment plan for the patient based on the patient's blood sugar level: If the patient is at a low blood sugar level or extremely high blood sugar level, the medical staff will perform manual operations on the patient, observe the patient's symptoms, give the patient emergency medication, and balance the patient's blood sugar level until it returns to the normal blood sugar range. min -L max ; If the patient has normal blood sugar levels, no operation is required; If the patient has a high blood sugar level, the insulin dose is calculated according to the patient's blood sugar level, and the patient's blood sugar level is lowered by intravenous injection of insulin until it returns to the normal blood sugar range. min -L max .

7. A method for continuous dynamic blood glucose monitoring and management in an intensive care unit according to claim 6, characterized in that: The real-time display of blood glucose monitoring and insulin treatment data and the generation of patient reports, include, Receive patient blood sugar data, insulin treatment data, and alarm information in real time via Bluetooth and Wi-Fi. Use the React modern JavaScript library and Vue progressive JavaScript framework to build a blood sugar monitoring display interface. The blood sugar monitoring display interface includes real-time blood sugar monitoring, insulin treatment data monitoring, alarm records and patient reports; Real-time blood glucose monitoring uses the Chart.js data visualization library to record and display the patient's blood glucose data, providing detailed lists, line graphs to display time trends, and fan charts and pie charts to display the patient's real-time blood glucose data change trends; Insulin therapy data monitoring is the data record of the patient's use of insulin therapy, including the remaining amount of insulin in the drug reservoir; The alarm records are the hypoglycemia warning and hyperglycemia warning records during the patient's treatment process; Hypoglycemia warning means that the blood sugar level in the patient is lower than the minimum value of the normal blood sugar range. min ; Hyperglycemia warning means that the blood sugar level in the patient is higher than the highest value B in the hyperglycemia range; Medical staff release the alarm according to the alarm information; Based on the JasperReports report generation tool, patient data reports are generated according to the blood sugar data and insulin treatment data selected by medical staff.

8. A method for continuous dynamic blood glucose monitoring and management in an intensive care unit according to claim 7, characterized in that: The establishment of a remote collaboration platform for data sharing and real-time communication and collaboration includes: The patient's blood glucose monitoring and insulin treatment data are transmitted in real time through the API communication protocol, and the patient's treatment data and personal information are recorded and managed based on the MySQL database; Based on the patient's treatment data and personal information, a remote collaboration platform is built through the Microsoft Azure cloud computing service platform, including data sharing, real-time communication, and resource allocation; Data sharing uses the Advanced Encryption Standard and Transport Layer Security Protocol to transmit patient data and maintain confidentiality, allowing medical staff to view patient blood sugar monitoring and insulin treatment data online; Real-time communication allows medical staff to communicate about the patient's treatment status based on the TigerText application, and supports remote consultation, allowing medical staff to jointly participate in the formulation of the patient's treatment plan online; Resource allocation allows medical staff to flexibly allocate medical resources based on patients' blood sugar data and insulin treatment data.

9. A computer device comprising: A memory and a processor; the memory stores a computer program, characterized in that: when the processor executes the computer program, the steps of the continuous dynamic blood glucose monitoring management method in the intensive care unit described in any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the continuous dynamic blood glucose monitoring management method in an intensive care unit according to any one of claims 1 to 8 are implemented.

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