A remote nursing management method and system for patients with endocrine disorder-type obesity

Abstract

The present invention discloses a remote nursing management method and system for patients with endocrine disorder type obesity, which relates to the field of remote nursing technology and includes the following steps: constructing a remote nursing management system, which is divided into a management center, a medical terminal and a user terminal, and comprehensively assessing the patient's physical condition, eating habits, exercise habits and psychological state, and formulating a personalized nursing plan; using remote monitoring equipment to track the patient's physiological indicators, and cooperating with the user terminal to regularly remind the patient to execute the nursing plan. The present invention significantly improves the self-management ability of patients with endocrine disorder type obesity by providing personalized nursing plans and physiological indicator monitoring. Patients can receive customized diet and exercise suggestions based on their own conditions through the user terminal. At the same time, the system ensures that patients perform nursing tasks on time through reminder functions, timely feedback and guidance mechanisms, so that patients can better understand their own health conditions and enhance their initiative in disease management.

Description

Technical Field

[0001] The present invention relates to the technical field of remote nursing, and in particular to a remote nursing management method and system for patients with endocrine disorder-type obesity. Background Art

[0002] With the accelerated pace of life and changes in dietary structure, endocrine disorder-induced obesity has become a common health problem. Endocrine disorders can lead to an imbalance in hormone levels in the body, which in turn affects fat metabolism, causing fat to accumulate in the body, and ultimately leading to obesity. Endocrine disorder-induced obesity not only affects the patient's appearance, but more importantly, it can have a serious impact on the patient's physical health, such as increasing the risk of chronic diseases such as cardiovascular disease and diabetes. With the continuous development and popularization of Internet technology, telemedicine technology has become relatively mature. Medical staff can provide personalized nursing guidance based on the patient's physical condition, and then through remote care, they can formulate personalized care plans based on the patient's specific situation, including diet adjustment, exercise guidance, psychological support, etc., to comprehensively improve the patient's endocrine condition and reduce weight.

[0003] In the prior art, remote nursing management requires patients to have a high level of self-management ability, and they need to adjust their diet and exercise according to the nursing plan. However, in reality, some patients are unable to adhere to the nursing plan due to lack of self-discipline or insufficient motivation, resulting in poor nursing results. Therefore, it is necessary to guide and supervise the patient's nursing plan to improve the patient's compliance. To this end, a remote nursing management method and system for patients with endocrine disorder-type obesity is proposed. Summary of the invention

[0004] The purpose of the present invention is to provide a remote nursing management method and system for patients with endocrine disorder-type obesity, so as to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] In a first aspect, a remote nursing management method for patients with endocrine disorder-type obesity comprises the following steps:

[0007] Step 1: Build a remote care management system, which is divided into the management center, medical and nursing end, and user end. It will comprehensively assess the patient's physical condition, eating habits, exercise habits, and psychological state, develop a personalized care plan, and clarify the specific content and goals of diet adjustment and exercise training;

[0008] Step 2: Use remote monitoring equipment to track the patient's physiological indicators and cooperate with the user end to regularly remind the patient to implement the care plan;

[0009] Step 3: Collect the patient's physiological index data and the user-side nursing plan execution data, perform feature extraction, obtain the progress evaluation index, and evaluate the patient's execution progress and effect within the preset nursing cycle;

[0010] Step 4, presetting different nursing levels according to the progress evaluation index, and setting corresponding evaluation thresholds for different nursing levels to determine the nursing level of the patient;

[0011] Step 5: Based on the evaluation results and the determined nursing level, a corresponding nursing report is generated for the medical staff to supervise the implementation of the patient's nursing plan and adjust the nursing plan according to the patient's condition.

[0012] A further improvement of the technical solution of the present invention is that in step 1, the process of formulating a personalized nursing plan is as follows:

[0013] Step 101, constructing a remote care management system, including a management center, a medical terminal and a user terminal, wherein the management center serves as the data center and decision support center of the system, and is responsible for data processing, storage, analysis and report generation; the medical terminal provides a work platform for medical staff to formulate care plans, view patient data and communicate with patients; and the user terminal provides a convenient interactive interface for patients to view care plans, receive reminders and perform tasks;

[0014] Step 102, collecting the patient's basic information, medical history, and lifestyle data, conducting a comprehensive assessment, and analyzing the patient's physical condition, eating habits, exercise habits, and psychological state;

[0015] Step 103, based on the comprehensive assessment results of the patient, the medical staff formulates a personalized care plan on the medical side, and clarifies the specific content and goals of diet adjustment and exercise training, wherein the diet adjustment includes diet plan, calorie control, and nutrient ratio, and the exercise training includes exercise type, intensity, and frequency;

[0016] Step 104: The medical staff uploads the personalized care plan to the management center, which distributes it to the corresponding user end.

[0017] A further improvement of the technical solution of the present invention is that in step 2, the process of executing the nursing plan is:

[0018] Step 201, the patient is equipped with a smart bracelet, a blood pressure monitor, and a blood glucose meter as remote monitoring equipment to monitor the patient's physiological indicators, including heart rate, blood pressure, blood sugar, and blood oxygen saturation;

[0019] Step 202, according to the received personalized care plan, set the patient's personal information and care plan in the user terminal, and associate the remote monitoring device with the user terminal to ensure data synchronization;

[0020] Step 203, setting a timed reminder function on the user side, converting various tasks and time nodes in the personalized care plan into reminder items, wherein the reminder methods include text reminders, sound reminders, and vibration reminders, to ensure that the patient can receive and execute the tasks in time;

[0021] Step 204, the patient receives reminder information from the management center through the user terminal, and the patient performs corresponding sub-item nursing plan tasks according to the reminder information, including measuring blood pressure and blood sugar physiological indicators on time, adjusting diet according to the diet plan, and exercising according to the exercise plan;

[0022] Step 205, the patient records relevant data through the user terminal during the task execution, including the measured physiological index values, dietary intake, and exercise duration, and confirms that the task has been completed under the corresponding sub-item nursing plan task.

[0023] A further improvement of the technical solution of the present invention is that in step 3, the process of obtaining the progress evaluation index is:

[0024] Step 301, the management center extracts the patient's physiological index data and nursing plan execution data obtained by the user terminal and the remote monitoring device, wherein the physiological index data includes heart rate, blood pressure, blood sugar, and blood oxygen saturation data, and the nursing plan execution data includes exercise duration, completion of medication, and dietary intake data;

[0025] Step 302, the management center integrates the extracted patient physiological indicator data and nursing plan execution data to form the patient's initial health record;

[0026] Step 303, pre-processing the patient's physiological indicator data and nursing plan execution data, removing duplicate, erroneous or abnormal data records through data cleaning to ensure the accuracy and reliability of the data, and converting data from different sources and formats into a data format suitable for analysis, integrating the patient's physiological indicator data and nursing plan execution data into a unified data set to facilitate subsequent analysis;

[0027] Step 304, extract physiological indicator features from the patient's physiological indicator data, namely, average heart rate, blood pressure fluctuation range, and blood sugar change trend, analyze to obtain a physiological indicator evaluation index, and evaluate the patient's physiological condition; extract execution progress features from the nursing plan execution data, namely, task completion status, completion rate, task delay time, and exercise duration, analyze to obtain a plan execution evaluation index, and evaluate the patient's execution progress;

[0028] Step 305, combining the physiological indicator characteristics and the execution progress characteristics, and synthesizing the physiological indicator evaluation index and the plan execution evaluation index to obtain a progress evaluation index, and quantitatively analyzing the execution progress and effect of the patient within the preset nursing cycle.

[0029] A further improvement of the technical solution of the present invention is that the calculation formula of the physiological index evaluation index is: ;

[0030] in, It is the physiological index evaluation index. For the The heart rate measured is the standard value of heart rate, and are the maximum and minimum blood pressure values, respectively. is the standard fluctuation range of blood pressure, For the Blood sugar value measured is the standard value of blood sugar, and are the number of heart rate and blood glucose measurements, respectively;

[0031] The calculation formula of the plan execution evaluation index is: ;

[0032] in, is the program execution evaluation index, For the The delay time of the task, is the standard value of task delay time, For the The completion rate of tasks, is the total number of tasks, For the The duration of the exercise, It is the standard value of exercise duration.

[0033] A further improvement of the technical solution of the present invention is that the calculation formula of the progress evaluation index is: ;

[0034] in, is the progress assessment index, Physiological index evaluation index, is the program execution evaluation index, is the weight coefficient, which is used to balance the importance of physiological indicators and plan execution in the comprehensive evaluation. is the maximum value of the plan execution evaluation index, is the minimum value of the plan execution evaluation index, It is the square root of the physiological index evaluation index and is used to evaluate To weight, The formula for normalizing the plan execution evaluation index is The value of is mapped to the interval [0,1], An adjustment item used to emphasize The impact of the minimum value on the overall evaluation.

[0035] A further improvement of the technical solution of the present invention is that in step 4, the process of determining the patient care level is:

[0036] Step 401, presetting different nursing levels according to the progress evaluation index, wherein the nursing levels are A-level nursing level, B-level nursing level and C-level nursing level, and the patient's execution effect is worse from A-level to C-level;

[0037] Step 402, setting corresponding evaluation thresholds for different nursing levels based on the execution of the patient nursing plan;

[0038] Step 403, comparing the calculated progress assessment index value with a preset assessment threshold to determine the patient's nursing level;

[0039] A plurality of the care levels correspond to a plurality of the evaluation thresholds, wherein the evaluation thresholds include an upper threshold and a lower threshold;

[0040] The multiple care levels and the multiple assessment thresholds satisfy the following relationship:

[0041] A-level nursing care ; Indicates that the patient's physiological indicators and nursing plan execution are very good, reaching more than 90% of the preset goals. The patient follows the nursing plan very well, and the physiological indicators are stable or improved. Only minimal supervision is required to promote the patient's continued recovery and prevent complications. Medical staff need to regularly monitor the patient's condition and provide necessary health education and psychological support;

[0042] B-level nursing care ; Indicates that the patient's physiological indicators and nursing plan execution are average, reaching 60% to 89% of the preset goals. The patient's compliance with the nursing plan is average, and more intervention, supervision and support from medical staff are needed, and more intensive monitoring and intervention are required. Medical staff need to work closely with patients and adjust the nursing plan in a timely manner according to patient feedback;

[0043] C-level nursing care ; Indicates that the patient's physiological indicators and nursing plan execution are poor, not reaching 60% of the preset goals, the patient's compliance with the nursing plan is poor, close supervision and timely intervention are required, and the nursing plan needs to be further adjusted;

[0044] in, is the progress assessment index, is the lower threshold corresponding to the A-level nursing level and the upper threshold corresponding to the B-level nursing level, The lower threshold corresponding to the B-level nursing grade and the upper threshold corresponding to the C-level nursing grade.

[0045] A further improvement of the technical solution of the present invention is that in step 5, the generation process of the nursing report is:

[0046] Step 501, based on the determined nursing level of the patient, a nursing report is prepared. The nursing report includes basic information of the patient, a summary of the evaluation results, and the determination of the nursing level. The basic information of the patient, such as name, age, gender, and diagnosis, is recorded, and a brief summary of the evaluation results of the patient's physiological indicators and the evaluation results of the implementation of the nursing plan, including any significant changes or abnormalities, and the patient's current nursing level is clearly indicated, and the basis for the determination of the level is explained;

[0047] Step 502, analyzing the physiological indicators of the patient, determining the physiological indicators that affect the patient's health, and performing execution progress analysis, evaluating the patient's execution progress and compliance, and summarizing the execution of the current nursing plan, specifically, performing a detailed analysis of the physiological indicators of heart rate, blood pressure, blood sugar, and blood oxygen saturation, indicating which indicators are within the normal range, which indicators are abnormal, and the possible impact on the patient's health, analyzing the execution of the nursing plan, including task completion, completion rate, task delay time, exercise duration, and evaluating the patient's execution progress and compliance;

[0048] Step 503, submit the nursing report to the medical staff, supervise the medical staff to adjust the nursing plan based on the nursing report and the patient's condition, and regularly re-evaluate the patient to track his or her rehabilitation progress and the implementation of the nursing plan.

[0049] In a second aspect, a remote nursing management system for patients with endocrine disorder-type obesity is used to implement a remote nursing management method for patients with endocrine disorder-type obesity, including a management center, wherein the management center is communicatively connected to a medical terminal, a user terminal, a data collection and monitoring module, a nursing level evaluation module, and a report generation module, wherein electrical signals are connected between the modules;

[0050] The medical and nursing end is used for medical staff to formulate personalized nursing plans based on the patient assessment results, including dietary adjustments, exercise and medication guidance, to ensure that the nursing plan is in line with the patient's personal situation and improve the pertinence and effectiveness of nursing;

[0051] The user terminal is used to set a timed reminder according to the nursing plan to remind the patient to perform nursing tasks, including measuring physiological indicators and performing exercise, to ensure that the patient performs nursing tasks on time and improve the execution rate of the nursing plan;

[0052] The data collection and monitoring module is used to collect the patient's physiological index data through remote monitoring equipment and synchronize the collected data to the management center to ensure the continuity and integrity of the data;

[0053] The nursing level assessment module comprehensively analyzes and obtains the progress assessment index based on the patient's physiological indicator data and the user-side nursing plan execution data, assesses the patient's physiological health status and the nursing plan execution status, and judges the patient's nursing level based on the assessment results, providing a basis for the formulation of subsequent nursing plans;

[0054] The report generation module generates a nursing report based on the quantitative analysis of the progress and effect of the patient's nursing plan execution by the nursing level evaluation module, feeds back the evaluation results, provides decision support for medical staff, understands the patient's execution status, and adjusts the nursing plan according to the actual situation.

[0055] Due to the adoption of the above technical solution, the present invention has the following technical advances compared with the prior art:

[0056] The present invention provides a remote nursing management method and system for patients with endocrine disorder type obesity. By providing personalized nursing plans and physiological indicator monitoring, the self-management ability of patients with endocrine disorder type obesity is significantly improved. Patients can receive diet and exercise suggestions customized based on their own conditions through the user terminal. At the same time, the system ensures that patients perform nursing tasks on time through reminder functions, and timely feedback and guidance mechanisms allow patients to better understand their own health conditions and enhance their initiative in disease management.

[0057] The present invention provides a remote nursing management method and system for patients with endocrine disorder-type obesity. By extracting features and calculating a progress evaluation index, the execution progress and effect of the patient within a preset nursing cycle are quantitatively analyzed, thereby providing decision support for medical staff. This not only improves the pertinence of nursing services, but also makes the nursing plan more in line with the actual needs of the patient. The implementation of personalized nursing helps to improve the treatment effect, reduce unnecessary medical interventions, and also improves the patient's satisfaction and quality of life. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0059] Figure 1 is a flow chart of the method of the present invention;

[0060] Figure 2A flowchart for obtaining a progress evaluation index of the present invention;

[0061] Figure 3 It is a module diagram of the present invention. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0063] Embodiment 1, as Figure 1 , Figure 2 As shown, the present invention provides a remote nursing management method for patients with endocrine disorder-type obesity, comprising the following steps:

[0064] Step 1, build a remote care management system, which is divided into a management center, a medical terminal and a user terminal, and comprehensively evaluate the patient's physical condition, eating habits, exercise habits and psychological state, formulate a personalized care plan, clarify the specific content and goals of diet adjustment and exercise, and build a remote care management system, including a management center, a medical terminal and a user terminal. The management center is the data center and decision support center of the system, responsible for data processing, storage, analysis and report generation. The medical terminal provides a work platform for medical staff to formulate care plans, view patient data, and communicate with patients. The user terminal provides patients with a convenient interactive interface for viewing care plans, receiving reminders and performing tasks, collecting basic information, medical history, and living habits of patients, and conducting a comprehensive evaluation. Analyze the patient's physical condition, eating habits, exercise habits and psychological state. Based on the comprehensive evaluation results of the patient, the medical staff formulates a personalized care plan on the medical terminal, and clarifies the specific content and goals of diet adjustment and exercise. Among them, diet adjustment includes diet plan, calorie control, and nutrient ratio, and exercise includes exercise type, intensity, and frequency. The medical terminal uploads the personalized care plan to the management center, which is distributed to the corresponding user terminal by the management center;

[0065] Step 2: Use remote monitoring equipment to track the patient's physiological indicators, and cooperate with the user end to regularly remind the patient to execute the nursing plan. The patient is equipped with a smart bracelet, a blood pressure monitor, and a blood glucose meter as remote monitoring equipment to monitor the patient's physiological indicators, including heart rate, blood pressure, blood sugar, and blood oxygen saturation. According to the received personalized nursing plan, the patient's personal information and nursing plan are set in the user end, and the remote monitoring equipment is associated with the user end to ensure data synchronization. The timed reminder function is set on the user end to convert various tasks and time nodes in the personalized nursing plan into reminder items. Among them, the reminder method includes text reminder, sound reminder, and vibration reminder in multiple forms to ensure that the patient can receive and execute the task in time. The patient receives the reminder information from the management center through the user end. The patient executes the corresponding sub-item nursing plan task according to the reminder information, including measuring blood pressure and blood sugar physiological indicators on time, adjusting diet according to the diet plan, and exercising according to the exercise plan. During the execution of the task, the patient records relevant data through the user end, including the measured physiological indicator value, diet intake, and exercise duration, and confirms that the execution has been completed under the corresponding sub-item nursing plan task;

[0066] Step 3: Collect the patient's physiological indicator data and the user-side nursing plan execution data, perform feature extraction, obtain the progress evaluation index, evaluate the patient's execution progress and effect within the preset nursing cycle, and the management center extracts the patient's physiological indicator data and nursing plan execution data obtained by the user and remote monitoring equipment, wherein the physiological indicator data include heart rate, blood pressure, blood sugar, and blood oxygen saturation data, and the nursing plan execution data include exercise duration, medication completion status, and dietary intake data. The management center integrates the extracted patient's physiological indicator data and nursing plan execution data to form the patient's initial health record, pre-processes the patient's physiological indicator data and nursing plan execution data, removes duplicate, erroneous or abnormal data records through data cleaning, ensures the accuracy and reliability of the data, and Convert data from different sources and formats into a data format suitable for analysis, integrate patient physiological indicator data and nursing plan execution data into a unified data set for subsequent analysis, extract physiological indicator features from patient physiological indicator data, namely average heart rate, blood pressure fluctuation range, and blood sugar change trend, analyze to obtain a physiological indicator evaluation index, and evaluate the patient's physiological condition; extract execution progress features from nursing plan execution data, namely task completion status, completion rate, task delay time, and exercise duration, analyze to obtain a plan execution evaluation index, evaluate the patient's execution progress, combine physiological indicator features and execution progress features, and combine the physiological indicator evaluation index and plan execution evaluation index to obtain a progress evaluation index, and quantitatively analyze the patient's execution progress and effect within the preset nursing cycle;

[0067] Furthermore, the calculation formula of the physiological index evaluation index is: ;

[0068] in, It is the physiological index evaluation index. For the The heart rate measured is the standard value of heart rate, and are the maximum and minimum blood pressure values, respectively. is the standard fluctuation range of blood pressure, For the Blood sugar value measured is the standard value of blood sugar, and are the number of heart rate and blood sugar measurements, is the variance of the heart rate, indicating the degree of deviation of the patient's heart rate from its standard value. It is the cube of the blood pressure fluctuation range, indicating the degree of deviation between the maximum and minimum blood pressure values ​​and its standard fluctuation range. It is the cube of the blood pressure fluctuation range, indicating the degree of deviation between the maximum and minimum blood pressure values ​​and its standard fluctuation range. is the total deviation of blood sugar, indicating the degree of deviation of the patient's blood sugar from its standard value. It should be noted that the closer the value of is to 0, the closer the patient's physiological indicators are to the ideal state;

[0069] The calculation formula of the plan execution evaluation index is: ;

[0070] in, is the program execution evaluation index, For the The delay time of the task, is the standard value of task delay time, For the The completion rate of tasks, is the total number of tasks, For the The duration of the exercise, is the standard value of exercise duration, is the fourth power of the maximum task delay time, indicating the timeliness of task completion. is the average of all task completion rates, indicating the degree of patient compliance with the nursing plan. is the square of the ratio of the longest exercise duration to the standard value, indicating the adequacy of exercise execution. It should be noted that The larger the value of , the better the patient's execution progress;

[0071] Furthermore, the calculation formula of the progress evaluation index is: ;

[0072] in, is the progress assessment index, Physiological index evaluation index, is the program execution evaluation index, is the weight coefficient, which is used to balance the importance of physiological indicators and plan execution in the comprehensive evaluation. is the maximum value of the plan execution evaluation index, is the minimum value of the plan execution evaluation index, It is the square root of the physiological index evaluation index and is used to evaluate To weight, The formula for normalizing the plan execution evaluation index is The value of is mapped to the interval [0,1], An adjustment item used to emphasize The impact of the minimum value on the overall evaluation is The closer the minimum value of is to the maximum value, the closer this item is to 1. It should be noted that The value range depends on the weight coefficient and the normalized value, The higher the value, the better the patient's physiological condition and the execution of the nursing plan; Step 4, preset different nursing levels according to the progress evaluation index, and set corresponding evaluation thresholds for different nursing levels to determine the patient's nursing level. Different nursing levels are preset according to the progress evaluation index, where the nursing levels are A-level nursing level, B-level nursing level and C-level nursing level. From A to C, the worse the patient's execution effect is, the corresponding evaluation thresholds are set for different nursing levels based on the execution of the patient's nursing plan, and the calculated progress evaluation index value is compared with the preset evaluation threshold to determine the patient's nursing level;

[0073] Further, the multiple nursing levels correspond to multiple evaluation thresholds, wherein the evaluation thresholds include an upper threshold and a lower threshold;

[0074] Multiple care levels and multiple assessment thresholds satisfy the following relationship:

[0075] A-level nursing care ; Indicates that the patient's physiological indicators and nursing plan execution are very good, reaching more than 90% of the preset goals. The patient follows the nursing plan very well, and the physiological indicators are stable or improved. Only minimal supervision is required to promote the patient's continued recovery and prevent complications. Medical staff need to regularly monitor the patient's condition and provide necessary health education and psychological support;

[0076] B-level nursing care ; Indicates that the patient's physiological indicators and nursing plan execution are average, reaching 60% to 89% of the preset goals. The patient's compliance with the nursing plan is average, and more intervention, supervision and support from medical staff are needed, and more intensive monitoring and intervention are required. Medical staff need to work closely with patients and adjust the nursing plan in a timely manner according to patient feedback;

[0077] C-level nursing care ; Indicates that the patient's physiological indicators and nursing plan execution are poor, not reaching 60% of the preset goals, the patient's compliance with the nursing plan is poor, close supervision and timely intervention are required, and the nursing plan needs to be further adjusted;

[0078] in, is the progress assessment index, is the lower threshold corresponding to the A-level nursing level and the upper threshold corresponding to the B-level nursing level, The lower threshold corresponding to the B-level nursing grade and the upper threshold corresponding to the C-level nursing grade;

[0079] Step 5. Based on the evaluation results and the determined nursing level, generate a corresponding nursing report to the medical staff to supervise the implementation of the patient's nursing plan and adjust the nursing plan according to the patient's condition. According to the determined patient nursing level, write a nursing report, which contains the patient's basic information, an overview of the evaluation results, and the nursing level determination. Record the patient's basic information, such as name, age, gender, and diagnosis results, and briefly summarize the patient's physiological indicator evaluation results and the evaluation results of the nursing plan implementation, including any significant changes or abnormalities. Clearly indicate the patient's current nursing level, explain the basis for the level determination, analyze the patient's physiological indicators, and determine the physiological indicators that affect the patient's health. The implementation progress of the nursing plan is analyzed, and the patient's implementation progress and compliance are evaluated. The implementation of the current nursing plan is summarized. Specifically, the physiological indicators of heart rate, blood pressure, blood sugar, and blood oxygen saturation are analyzed in detail, indicating which indicators are within the normal range, which indicators are abnormal, and the possible impact on the patient's health. The implementation of the nursing plan is analyzed, including task completion, completion rate, task delay time, and exercise duration. The patient's implementation progress and compliance are evaluated. The nursing report is submitted to the medical staff, and the medical staff is supervised to adjust the nursing plan based on the nursing report and the patient's status. The patient is re-evaluated regularly to track his rehabilitation progress and the implementation of the nursing plan.

[0080] Embodiment 2, as Figure 3As shown, on the basis of Example 1, the present invention further provides a remote nursing management system for patients with endocrine disorder-type obesity, which is used to implement a remote nursing management method for patients with endocrine disorder-type obesity, including a management center, the management center is communicatively connected to a medical terminal, a user terminal, a data collection and monitoring module, a nursing level evaluation module, and a report generation module, wherein the modules are electrically connected by signals;

[0081] Medical and nursing end: medical staff develop personalized care plans based on patient assessment results, including dietary adjustments, exercise and medication guidance, to ensure that the care plan is in line with the patient's individual situation and improve the relevance and effectiveness of care;

[0082] The user end is used to set timed reminders according to the nursing plan to remind patients to perform nursing tasks, including measuring physiological indicators and performing exercise, to ensure that patients perform nursing tasks on time and improve the execution rate of the nursing plan;

[0083] The data collection and monitoring module is used to collect the patient's physiological index data through remote monitoring equipment and synchronize the collected data to the management center to ensure the continuity and integrity of the data;

[0084] The nursing level assessment module comprehensively analyzes the patient's physiological index data and the user-side nursing plan execution data to obtain the progress assessment index, evaluate the patient's physiological health status and the implementation of the nursing plan, and judge the patient's nursing level based on the assessment results, providing a basis for the formulation of subsequent nursing plans;

[0085] The report generation module generates a nursing report based on the quantitative analysis of the progress and effect of the patient's nursing plan execution by the nursing level assessment module, feeds back the assessment results, provides decision-making support for medical staff, helps them understand the patient's execution status, and adjusts the nursing plan according to actual conditions.

[0086] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A remote nursing management method for patients with endocrine disorder-type obesity, characterized by: The following steps are involved: Step 1: Build a remote care management system, which is divided into the management center, medical and nursing end, and user end. It will comprehensively assess the patient's physical condition, eating habits, exercise habits, and psychological state, and develop a personalized care plan; Step 2: Use remote monitoring equipment to track the patient's physiological indicators and cooperate with the user end to regularly remind the patient to implement the care plan; Step 3, collecting patient physiological index data and user-side nursing plan execution data, performing feature extraction, obtaining a progress evaluation index, and evaluating the patient's execution progress and effect within a preset nursing cycle. In step 3, the process of obtaining the progress evaluation index is as follows: Step 301, the management center extracts the patient's physiological index data and nursing plan execution data obtained by the user terminal and the remote monitoring device, wherein the physiological index data includes heart rate, blood pressure, blood sugar and blood oxygen saturation data, and the nursing plan execution data includes exercise training time, drug taking completion status and dietary intake data; Step 302, the management center integrates the extracted patient physiological indicator data and nursing plan execution data to form the patient's initial health record; Step 303, pre-processing the patient's physiological indicator data and the nursing plan execution data, and integrating the patient's physiological indicator data and the nursing plan execution data into a unified data set; Step 304: extract physiological indicator features from the patient's physiological indicator data, namely, average heart rate, blood pressure fluctuation range, and blood sugar change trend, analyze to obtain a physiological indicator evaluation index, and evaluate the patient's physiological condition; extract execution progress features from the nursing plan execution data, namely, task completion status, completion rate, task delay time, and exercise duration, analyze to obtain a plan execution evaluation index, and evaluate the patient's execution progress; Step 305, combining the physiological indicator characteristics and the execution progress characteristics, and synthesizing the physiological indicator evaluation index and the plan execution evaluation index to obtain a progress evaluation index, and quantitatively analyzing the execution progress and effect of the patient within the preset nursing cycle; The calculation formula of the physiological index evaluation index is: ; in, It is the physiological index evaluation index. For the The heart rate measured is the standard value of heart rate, and are the maximum and minimum blood pressure values, respectively. is the standard fluctuation range of blood pressure, For the Blood sugar value measured is the standard value of blood sugar, and the number of heart rate and blood glucose measurements, respectively; The calculation formula of the plan execution evaluation index is: ;in, is the program execution evaluation index, For the The delay time of the task, is the standard value of task delay time, For the The completion rate of tasks, is the total number of tasks, For the The duration of the exercise, is the standard value of exercise duration; The calculation formula of the progress evaluation index is: ;in, is the progress assessment index, It is the physiological index evaluation index. is the program execution evaluation index, is the weight coefficient, which is used to balance the importance of physiological indicators and plan execution in the comprehensive evaluation. is the maximum value of the plan execution evaluation index, It is the minimum value of the plan execution evaluation index; Step 4, presetting different nursing levels according to the progress evaluation index, and setting corresponding evaluation thresholds for different nursing levels to determine the nursing level of the patient; Step 5: Based on the evaluation results and the determined nursing level, a corresponding nursing report is generated for the medical staff to supervise the implementation of the patient's nursing plan and adjust the nursing plan according to the patient's condition.

2. The remote nursing management method for patients with endocrine disorder-type obesity according to claim 1, characterized in that: In step 1, the process of formulating a personalized care plan is as follows: Step 101, constructing a remote care management system, including a management center, a medical terminal and a user terminal, wherein the management center serves as the data center and decision support center of the system, and is responsible for data processing, storage, analysis and report generation; the medical terminal provides a work platform for medical staff to formulate care plans, view patient data and communicate with patients; and the user terminal provides a convenient interactive interface for patients to view care plans, receive reminders and perform tasks; Step 102, collecting the patient's basic information, medical history and lifestyle data, conducting a comprehensive assessment, and analyzing the patient's physical condition, eating habits, exercise habits and psychological state; Step 103, based on the comprehensive assessment results of the patient, the medical staff formulates a personalized care plan on the medical side, clarifying the specific content and goals of diet adjustment and exercise training; Step 104: The medical staff uploads the personalized care plan to the management center, which distributes it to the corresponding user end.

3. The remote nursing management method for endocrine disorder type obese patients according to claim 2, characterized in that: In step 2, the process of executing the nursing plan is: Step 201, the patient is equipped with a smart bracelet, a blood pressure monitor and a blood glucose meter as remote monitoring equipment to monitor the patient's physiological indicators, including heart rate, blood pressure, blood sugar and blood oxygen saturation; Step 202, according to the received personalized care plan, set the patient's personal information and care plan in the user terminal, and associate the remote monitoring device with the user terminal; Step 203, setting a timer reminder function on the user side, converting various tasks and time nodes in the personalized care plan into reminder items, wherein the reminder methods include text reminders, sound reminders and vibration reminders; Step 204, the patient receives reminder information from the management center through the user terminal, and the patient performs corresponding sub-item nursing plan tasks according to the reminder information, including measuring blood pressure and blood sugar physiological indicators on time, adjusting diet according to the diet plan, and exercising according to the exercise plan; Step 205, the patient records relevant data through the user terminal during the task execution, including the measured physiological index values, dietary intake and exercise duration, and confirms that the task has been completed under the corresponding sub-item nursing plan task.

4. The remote nursing management method for endocrine disorder type obese patients according to claim 3, characterized in that: In step 4, the process of determining the patient care level is: Step 401, presetting different nursing levels according to the progress evaluation index, wherein the nursing levels are A-level nursing level, B-level nursing level and C-level nursing level, and the patient's execution effect is worse from A-level to C-level; Step 402, setting corresponding evaluation thresholds for different nursing levels based on the execution of the patient nursing plan; Step 403, comparing the calculated progress assessment index value with a preset assessment threshold to determine the patient's nursing level; A plurality of the care levels correspond to a plurality of the evaluation thresholds, wherein the evaluation thresholds include an upper threshold and a lower threshold; The multiple care levels and the multiple assessment thresholds satisfy the following relationship: A-level nursing care ; B-level nursing care ; C-level nursing care ; in, is the progress assessment index, is the lower threshold corresponding to the A-level nursing level and the upper threshold corresponding to the B-level nursing level, The lower threshold corresponding to the B-level nursing grade and the upper threshold corresponding to the C-level nursing grade.

5. The remote nursing management method for endocrine disorder type obese patients according to claim 4, characterized in that: In step 5, the generation process of the nursing report is as follows: Step 501, based on the determined nursing level of the patient, a nursing report is prepared, the nursing report includes basic information of the patient, a summary of the evaluation results, and a nursing level determination, records the basic information of the patient, and briefly summarizes the evaluation results of the patient's physiological indicators and the evaluation results of the implementation of the nursing plan; Step 502, analyzing the physiological indicators of the patient, determining the physiological indicators that affect the patient's health, and performing execution progress analysis, evaluating the patient's execution progress and compliance, and summarizing the execution of the current nursing plan; Step 503, submit the nursing report to the medical staff, supervise the medical staff to adjust the nursing plan based on the nursing report and the patient's condition, and regularly re-evaluate the patient to track his or her rehabilitation progress and the implementation of the nursing plan.

6. A remote nursing management system for patients with endocrine disorder-related obesity, used to implement the remote nursing management method for patients with endocrine disorder-related obesity as described in any one of claims 1 to 5, comprising a management center, characterized in that: The management center is communicatively connected with the medical terminal, the user terminal, the data collection and monitoring module, the nursing level assessment module and the report generation module, wherein the electrical signals between the modules are connected; The medical and nursing end is used for medical staff to formulate a personalized care plan based on the patient assessment results, including dietary adjustment, exercise training and medication guidance; The user terminal is used to set a timed reminder according to the nursing plan to remind the patient to perform nursing tasks, including measuring physiological indicators and performing exercise; The data collection and monitoring module is used to collect the patient's physiological index data through remote monitoring equipment and synchronize the collected data to the management center; The nursing level assessment module comprehensively analyzes and obtains the progress assessment index based on the patient's physiological indicator data and the user-side nursing plan execution data, assesses the patient's physiological health status and nursing plan execution status, and determines the patient's nursing level based on the assessment results; The report generation module generates a nursing report based on the quantitative analysis of the progress and effect of the patient's nursing plan execution by the nursing level evaluation module, feeds back the evaluation results, provides decision support for medical staff, understands the patient's execution status, and adjusts the nursing plan according to actual conditions.

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