A method for monitoring self-management behavior of patients after interventional therapy

Abstract

The present invention provides a method for monitoring the self-management behavior of patients after interventional treatment, including calculating the patient's daily self-management behavior plan, the patient's monitoring plan for each physiological index, and the patient's daily health maintenance index; calculating the patient's daily physiological index adjustment amount and health maintenance index based on the patient's daily physiological index adjustment amount and health maintenance index; calculating the patient's daily self-management behavior adjustment strategy and health maintenance index based on the patient's daily self-management behavior adjustment strategy and health maintenance index, and calculating the patient's postoperative long-term self-management behavior optimization strategy based on the patient's daily self-management behavior adjustment strategy and health maintenance index. The present invention can optimize the health status of patients during the postoperative recovery period and maximize the overall recovery efficiency, effectively improving the patient's postoperative recovery quality and efficiency.

Description

Technical Field

[0001] The present invention relates to the field of medical health technology, and more specifically, to a method for monitoring the self-management behavior of patients after interventional therapy. Background Art

[0002] In the field of self-management behavior monitoring for patients after interventional treatment, existing technologies usually rely on the doctor's experience and the patient's self-report to develop a recovery plan. These methods often lack consideration of individual differences in patients, as well as mechanisms for real-time monitoring and adjustment of physiological indicators. In addition, existing technologies rarely provide personalized long-term self-management behavior optimization strategies, resulting in patients potentially not being able to achieve the best recovery results.

[0003] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: first, the existing monitoring methods often ignore the dynamic changes and personalized needs of patients' physiological indicators during postoperative recovery, resulting in the possibility that the treatment plan may not be accurate enough; second, there is a lack of systematic evaluation and adjustment of patients' self-management behaviors, which may make it impossible for patients to effectively implement recovery plans; finally, the prior art fails to fully consider the maximization of patients' overall recovery effects, and lacks strategies and methods for optimizing long-term self-management behaviors. Summary of the invention

[0004] The present invention provides a method for monitoring the self-management behavior of patients after interventional therapy, comprising:

[0005] With the goal of optimizing the health status of patients during the postoperative recovery period, the patient's daily self-management behavior plan, the patient's physiological index monitoring plan, and the patient's health maintenance index during the recovery period are calculated;

[0006] Based on the patient's daily self-management behavior plan, the patient's monitoring plan for each physiological index, and the patient's health maintenance index during recovery, with the stability of the patient's daily physiological index as the goal, the patient's daily physiological index adjustment amount and health maintenance index are calculated;

[0007] Based on the patient's daily physiological index adjustment and health maintenance index, with the goal of maximizing the overall recovery efficiency of the patient after surgery, the patient's daily self-management behavior adjustment strategy and health maintenance index are calculated;

[0008] Based on the patient's daily self-management behavior adjustment strategy and health maintenance indicators, with the goal of maximizing the patient's overall recovery effect, the patient's long-term self-management behavior optimization strategy after surgery is calculated.

[0009] Furthermore, the above-mentioned long-term self-management behavior optimization strategy after surgery is calculated based on the patient's daily self-management behavior adjustment strategy and health maintenance index, with the goal of maximizing the patient's overall recovery effect, including: calculating the patient's daily health maintenance benefit based on the patient's daily physiological index adjustment amount and health maintenance index; constructing a first objective function with the goal of maximizing the patient's overall recovery effect based on the patient's postoperative recovery benefit, health maintenance benefit, daily health maintenance benefit, physiological index deviation assessment index, and self-management behavior deviation penalty index;

[0010] The first objective function is solved using the patient's physiological indicator monitoring model, the patient's daily self-management behavior constraints, the physiological indicator deviation assessment indicator constraints, the self-management behavior deviation penalty indicator constraints and the patient's internal physiological balance constraints as constraints to obtain the patient's long-term self-management behavior optimization strategy after surgery.

[0011] Furthermore, the first objective function is expressed as:

[0012] in, It indicates the daily health maintenance benefits for patients; It represents the patient's daily health maintenance index; Represents the total number of days during the postoperative recovery period.

[0013] Furthermore, the calculation method of the patient's physiological index deviation assessment index is:

[0014] in, It indicates the unit deviation assessment index; and Respectively, the patients Actual physiological indicators and adjustment targets for the day; Indicates The acceptable deviation range of the day; Indicates the tolerance for deviation.

[0015] Furthermore, the calculation method of the patient's self-management behavior deviation penalty index is:

[0016] in, Indicates that the patient Days of self-management behavior deviation; Represents the behavioral deviation penalty coefficient.

[0017] Furthermore, a second objective function is constructed with the goal of optimizing the health status of patients during the postoperative recovery period. The patient's daily self-management behavior plan and the patient's monitoring plan of various physiological indicators are used as constraints. The second objective function is solved to obtain the patient's daily self-management behavior plan after surgery, the monitoring plan of various physiological indicators, and the health maintenance indicators during the patient's recovery period.

[0018] Furthermore, the calculation of the patient's daily physiological index adjustment amount and health maintenance index based on the patient's daily self-management behavior plan, the patient's monitoring plan for each physiological index, and the patient's health maintenance index during recovery, with the stability of the patient's daily physiological index as the goal, includes: constructing the patient's daily behavior execution constraints based on the patient's daily self-management behavior plan; constructing the patient's daily physiological index monitoring constraints based on the patient's monitoring plan for each physiological index; constructing the patient's daily health maintenance index constraints based on the patient's health maintenance index during recovery;

[0019] Taking the patient's daily behavior execution constraints, physiological indicator monitoring constraints, health maintenance indicator constraints and patient's internal physiological balance constraints as constraints, and taking the stability of the patient's daily physiological indicators as the goal, the third objective function is constructed, and the patient's daily physiological indicator adjustment amount and health maintenance indicator are solved.

[0020] Furthermore, based on the patient's daily physiological index adjustment amount and health maintenance index, the health maintenance index is calculated by:

[0021]

[0022] in, Indicates basic health maintenance indicators; represents the additional health maintenance index calculated based on the adjustment of physiological indexes; Represents the indicator adjustment function.

[0023] Furthermore, the patient's daily self-management behavior adjustment strategy and health maintenance index are used to maximize the patient's overall recovery effect, and the patient's postoperative long-term self-management behavior optimization strategy is calculated, including: calculating the patient's daily health maintenance benefit based on the patient's daily physiological index adjustment amount and health maintenance index;

[0024] Constructing the fourth objective function with the goal of maximizing the overall recovery effect of the patient;

[0025] Taking the patient's daily physiological index adjustment, health maintenance index, behavior execution constraints, physiological index monitoring constraints and the patient's internal physiological balance constraints as constraints, the fourth objective function is solved and the patient's postoperative long-term self-management behavior optimization strategy is calculated.

[0026] Furthermore, the calculation method of the patient's postoperative long-term self-management behavior optimization strategy is:

[0027] in, and They are the stable behavior set and the adjustment behavior set in the patient's long-term self-management behavior optimization strategy after surgery; and Respectively, they represent the specific behavioral benefits of the patient in stabilizing behavior and adjusting behavior; and They represent the health maintenance indicators of patients in stable behavior and adjustment behavior, respectively; and Represent the health maintenance benefits of patients in stabilizing behaviors and adjusting behaviors, respectively.

[0028] According to the above-mentioned embodiments of the present invention, at least the following beneficial effects are achieved: the present invention can provide a comprehensive health management plan for postoperative patients by creating a comprehensive self-management behavior monitoring system. The system can achieve fine control of the patient's physiological indicators by dynamically calculating and adjusting the patient's self-management and physiological indicator monitoring plan, thereby significantly improving the patient's recovery efficiency. Specifically, the present invention optimizes the patient's self-management behavior by constructing an objective function and constraints, so that the patient can achieve the optimization of health status during the postoperative recovery period, and ultimately maximize the overall recovery effect. In addition, the monitoring method of the present invention also includes an evaluation of the patient's health maintenance benefits, as well as a penalty mechanism for physiological indicator deviations and self-management behavior deviations, which can further improve the patient's motivation and compliance to follow the recovery plan. In the long run, this method helps patients establish a healthier lifestyle, reduce the risk of postoperative complications, and may extend the patient's life expectancy. In this way, the patient's postoperative self-management behavior is not only part of the recovery process, but also an important part of continuous health maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the detailed description below with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, in which:

[0030] Figure 1 A flowchart of a method for monitoring the self-management behavior of patients after interventional therapy provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0031] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and implement the present invention, and are not intended to limit the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present invention more thorough and complete, and to fully convey the scope of the present invention to those skilled in the art.

[0032] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, device, apparatus, method or computer program product. Therefore, the present invention can be specifically implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0033] It should be noted that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for distinction and does not have any limiting meaning.

[0034] Reference below Figure 1 , Figure 1 The flowchart of the method for monitoring the self-management behavior of patients after interventional treatment provided by one embodiment of the present invention is as follows. Figure 1 As shown, a method 100 for monitoring self-management behavior of a patient after interventional treatment comprises:

[0035] Step 101, with the goal of optimizing the health status of the patient during the recovery period after surgery, calculate the patient's daily self-management behavior plan, the patient's monitoring plan for various physiological indicators, and the patient's health maintenance indicators during the recovery period;

[0036] Step 102, based on the patient's daily self-management behavior plan, the patient's monitoring plan for each physiological index, and the patient's health maintenance index during recovery, with the stability of the patient's daily physiological index as the goal, calculate the patient's daily physiological index adjustment amount and health maintenance index;

[0037] Step 103, based on the patient's daily physiological index adjustment amount and health maintenance index, with the goal of maximizing the overall recovery efficiency of the postoperative patient, calculate the patient's daily self-management behavior adjustment strategy and health maintenance index;

[0038] Step 104, based on the patient's daily self-management behavior adjustment strategy and health maintenance indicators, with the goal of maximizing the patient's overall recovery effect, calculate the patient's postoperative long-term self-management behavior optimization strategy.

[0039] It should be noted that the self-management behavior plan involved in the method includes the patient's diet arrangement, exercise plan, medication schedule, etc.; while the physiological indicator monitoring plan covers the regular testing of key physiological parameters such as heart rate, blood pressure, and blood sugar. In addition, health maintenance indicators include the patient's weight management, sleep quality, emotional state, etc. The setting of these plans and indicators will be based on the patient's specific situation, such as age, gender, disease type and severity, etc.

[0040] Preferably, when implementing this method, an intelligent algorithm can be used to dynamically adjust the patient's self-management behavior plan. For example, if the patient's heart rate is continuously monitored to be higher than the normal range, the system will automatically adjust its exercise plan to reduce the intensity or time of exercise. At the same time, if the patient's blood sugar level is lower than expected, the system will remind the patient to supplement nutrition or adjust the dosage of medicine in time. In addition, the system can also regularly update health maintenance indicators based on the patient's recovery progress and changes in physiological indicators to ensure that the patient is always in the best recovery state.

[0041] In some embodiments, the long-term self-management behavior optimization strategy for patients after surgery is calculated based on the patient's daily self-management behavior adjustment strategy and health maintenance index with the goal of maximizing the patient's overall recovery effect, including: calculating the patient's daily health maintenance benefit based on the patient's daily physiological index adjustment amount and health maintenance index; constructing a first objective function with the goal of maximizing the patient's overall recovery effect based on the patient's postoperative recovery benefit, health maintenance benefit, daily health maintenance benefit, physiological index deviation assessment index, and self-management behavior deviation penalty index;

[0042] The first objective function is solved using the patient's physiological indicator monitoring model, the patient's daily self-management behavior constraints, the physiological indicator deviation assessment indicator constraints, the self-management behavior deviation penalty indicator constraints and the patient's internal physiological balance constraints as constraints to obtain the patient's long-term self-management behavior optimization strategy after surgery.

[0043] It should be noted that based on the patient's daily self-management behavior adjustment strategy and health maintenance indicators, with the goal of maximizing the patient's overall recovery effect, the patient's long-term self-management behavior optimization strategy after surgery is calculated. This process emphasizes personalization and long-term nature. It not only focuses on the patient's short-term recovery status, but also focuses on the development of long-term healthy behaviors to achieve continuous health management.

[0044] Specifically, this optimization strategy involves the construction of the first objective function, which compares the patient's daily health maintenance benefit with the health maintenance index to evaluate the patient's recovery benefit. In this process, Bt and Mt represent the patient's daily health maintenance benefit and health maintenance index, respectively, and "T" represents the total number of days during the postoperative recovery period. Parameter settings will be based on the patient's specific situation, such as the recovery stage, the trend of physiological indicators, and the patient's personal preferences.

[0045] Preferably, in order to calculate the first objective function more accurately, a machine learning algorithm can be introduced to analyze the patient's physiological data and behavior patterns, so as to predict and optimize the health maintenance benefits. In addition, a dynamic adjustment mechanism can be set up to update the values ​​of Bt and Mt in real time according to the patient's daily recovery. For example, if a physiological indicator of the patient exceeds the expected range, the system will automatically adjust the relevant health maintenance indicators and recalculate the objective function to adapt to the new situation. At the same time, it is also possible to consider introducing a patient feedback mechanism so that patients can participate in the adjustment process of self-management behavior and improve the adaptability and effectiveness of the program.

[0046] In some embodiments, the first objective function is expressed as:

[0047] in, It indicates the daily health maintenance benefits for patients; It represents the patient's daily health maintenance index; Represents the total number of days during the postoperative recovery period.

[0048] Specifically, in this objective function, It refers to the health maintenance benefit of the patient on day t, which includes all aspects of the patient's recovery, such as physiological recovery, improvement of psychological state, etc. It represents the patient’s health maintenance index on day t, which is a pre-set target value used to measure the patient’s expected level of recovery. It is the total number of days of postoperative recovery period, which will be determined according to the specific situation of the patient.

[0049] Preferably, in order to achieve this objective function more accurately, advanced optimization algorithms, such as linear programming or dynamic programming, can be used to solve this maximization problem. In terms of parameter setting, it can be dynamically adjusted according to the specific conditions of different patients. and The value of can be adjusted to suit the patient's recovery progress. In addition, it is also possible to consider introducing a weight factor to balance the contribution of different days to the total benefit, ensuring that patients receive more attention during the critical recovery stage. As an alternative, methods such as Monte Carlo simulation can be considered to evaluate the long-term benefits of different self-management behavior adjustment strategies, thereby providing patients with a more personalized and flexible recovery plan.

[0050] In some embodiments, the method for calculating the patient's physiological index deviation assessment index is:

[0051] in, It indicates the unit deviation assessment index; and Respectively, the patients Actual physiological indicators and adjustment targets for the day; Indicates The acceptable deviation range of the day; Indicates the tolerance for deviation.

[0052] It should be noted that the "method for calculating the patient's physiological index deviation assessment index" is a method for quantifying the deviation between the patient's physiological index and the predetermined target and evaluating it accordingly. This method is crucial for monitoring the patient's recovery progress and adjusting the treatment plan.

[0053] Specifically, Mdeviation refers to the patient's physiological index deviation assessment index, which is obtained by calculating the absolute value of the difference between the patient's actual daily physiological index Pt and the adjustment target t, then multiplying it by the deviation tolerance β and the unit deviation assessment index η, and finally summing these values ​​for all days. Represents the acceptable deviation range on day t, which can be set according to the characteristics of different physiological indicators and the specific conditions of the patient.

[0054] Preferably, in order to more accurately reflect the patient's physiological index deviation, the following detailed operations or alternatives may be used:

[0055] 1. Set the value of η to reflect the importance of different physiological indicators to patient recovery. For example, higher weights can be given to key indicators.

[0056] 2. The value of β can be adjusted according to the patient's sensitivity to deviation. For certain indicators that need to be strictly controlled, a lower tolerance can be set.

[0057] 3. It can be dynamically adjusted based on factors such as the patient's age, gender, disease type and recovery stage to ensure that it always reflects the patient's actual needs.

[0058] 4. Alternative approaches could include using statistical methods to analyze the differences in the distributions between Pt and t to determine if the treatment plan needs to be adjusted.

[0059] 5. Machine learning algorithms can also be introduced to predict the changing trends of patients’ physiological indicators and automatically adjust accordingly and β to achieve more accurate deviation management.

[0060] In some embodiments, the calculation method of the patient's self-management behavior deviation penalty index is:

[0061] in, Indicates that the patient Days of self-management behavior deviation; Represents the behavioral deviation penalty coefficient.

[0062] It should be noted that the calculation of the patient's self-management behavior deviation penalty index is to evaluate the deviation between the patient's behavior and the established self-management plan, and to give corresponding penalty indicators to motivate patients to better follow the self-management plan.

[0063] Preferably, in order to implement this calculation method more efficiently, the following operations may be taken or alternative solutions may be provided:

[0064] 1. Yes The calculation of can include deviations from multiple behaviors, such as diet, exercise, rest, etc., and set different weights for each behavior to reflect its different impact on health recovery.

[0065] 2. It can be dynamically adjusted according to the type of behavior and the severity of the deviation. For example, a higher penalty coefficient can be set for behavioral deviations with greater impact.

[0066] 4. Alternatives could include using behavioral psychology principles to design incentives, such as positive reinforcement, to encourage patients to adopt healthier behaviors rather than relying solely on punishment mechanisms.

[0067] 5. It can also take into account individual differences of patients, such as personality, habits and preferences, to personalize settings , so that the punishment indicators are more in line with the patient's actual situation, thereby improving the compliance of self-management behavior.

[0068] In some embodiments, a second objective function is constructed with the goal of optimizing the health status of the patient during the postoperative recovery period. The patient's daily self-management behavior plan and the patient's monitoring plan of various physiological indicators are used as constraints to solve the second objective function to obtain the patient's daily self-management behavior plan after surgery, the monitoring plan of various physiological indicators, and the health maintenance indicators during the patient's recovery period.

[0069] It should be noted that the purpose of constructing the second objective function with the goal of optimizing the health status of patients during the postoperative recovery period is to construct a mathematical model with the goal of optimizing the health status of patients during the postoperative recovery period. This model will help determine the patient's daily self-management behavior plan and physiological indicator monitoring plan, as well as the health maintenance indicators during the entire recovery period.

[0070] Specifically, this second objective function may include multiple variables and parameters, such as the patient's physiological indicators, self-management behaviors, health maintenance indicators, etc. These parameters can be set according to the patient's specific situation and recovery stage. For example, for the physiological indicator of blood pressure, a target range can be set, and the patient's daily self-management behavior plan will include diet, exercise, etc. to help the patient reach or maintain this target range.

[0071] Preferably, in order to implement this objective function more accurately, the following refinement operations or alternative solutions can be taken:

[0072] 1. Use data analysis and machine learning techniques to predict the daily trends of patients’ physiological indicators and adjust the parameters in the second objective function accordingly.

[0073] 2. Set thresholds to assess whether the patient’s daily self-management behaviors meet health maintenance indicators. If not, the system will provide adjustment suggestions or automatically adjust the plan.

[0074] 3. Introduce real-time monitoring devices, such as smart watches or health monitoring belts, to collect patients’ physiological data in real time and feed it back into the second objective function to achieve dynamic optimization.

[0075] 4. Alternatives could include using expert systems to provide personalized self-management recommendations that would be based on the patient’s physiological data and health history to assist in the implementation of the second objective function.

[0076] 5. The patient’s personal preferences and lifestyle can also be considered and incorporated into the objective function to ensure the feasibility of the program and patient compliance.

[0077] In some embodiments, the calculation of the patient's daily physiological index adjustment amount and health maintenance index based on the patient's daily self-management behavior plan, the patient's monitoring plan for each physiological index, and the patient's health maintenance index during recovery, with the stability of the patient's daily physiological index as the goal, includes: constructing the patient's daily behavior execution constraints based on the patient's daily self-management behavior plan; constructing the patient's daily physiological index monitoring constraints based on the patient's monitoring plan for each physiological index; constructing the patient's daily health maintenance index constraints based on the patient's health maintenance index during recovery;

[0078] Taking the patient's daily behavior execution constraints, physiological indicator monitoring constraints, health maintenance indicator constraints and patient's internal physiological balance constraints as constraints, and taking the stability of the patient's daily physiological indicators as the goal, the third objective function is constructed, and the patient's daily physiological indicator adjustment amount and health maintenance indicator are solved.

[0079] It should be noted that the self-management behavior plan involved here includes the patient's daily activities such as diet, exercise, and rest; the monitoring plan of physiological indicators includes regular testing of key indicators such as blood pressure, blood sugar, and heart rate; and the "health maintenance indicators" cover the patient's long-term health goals such as weight and sleep quality. The setting of these plans and indicators needs to be customized according to the patient's specific situation, such as age, gender, medical history and other parameters.

[0080] Specifically, in order to implement this calculation process more accurately, the following refinements or alternatives can be taken:

[0081] 1. Use advanced data analysis techniques, such as time series analysis, to predict future trends in patients’ physiological indicators and adjust daily physiological indicator adjustments accordingly.

[0082] 2. Set thresholds for physiological indicators. When the monitored data exceeds these thresholds, the system will automatically adjust the health maintenance indicators to ensure the stability of the patient's physiological indicators.

[0083] 3. Introduce a patient feedback mechanism that allows patients to report how they feel and any discomfort. This information can be used to fine-tune the self-management behavior plan and physiological indicator monitoring plan.

[0084] 4. Alternatives could include using mobile health applications to collect and analyze patients’ physiological data while providing personalized health recommendations and adjustments.

[0085] 5. Personalized health maintenance plans can be customized for patients based on their living habits and work environment to improve the adaptability and effectiveness of the plans.

[0086] In some embodiments, the health maintenance index is calculated based on the patient's daily physiological index adjustment amount and the health maintenance index, and the calculation method is:

[0087]

[0088] in, Indicates basic health maintenance indicators; represents the additional health maintenance index calculated based on the adjustment of physiological indexes; Represents the indicator adjustment function.

[0089] It should be noted that the health maintenance index is calculated based on the patient's daily physiological index adjustment amount and the health maintenance index, which emphasizes the importance of dynamically adjusting the health maintenance index according to the patient's daily physiological index changes and health maintenance needs. This method helps to ensure that the patient's recovery process is consistent with individual differences and can adapt to real-time changes in their physiological state.

[0090] Specifically, health maintenance indicators include target ranges for key physiological parameters such as blood pressure, blood sugar, heart rate, and long-term health goals such as weight and sleep quality. "Physiological indicator adjustment amount" refers to the amount of adjustment required based on the difference between the patient's real-time physiological data and health maintenance indicators. The setting of these parameters will be based on the patient's medical history, current health status, and recovery goals.

[0091] Preferably, in order to implement this calculation process more accurately, the following refinement operations or alternative solutions may be adopted:

[0092] 1. Use machine learning algorithms to analyze patients’ physiological data and predict short-term and long-term trends in physiological indicators, thereby more accurately calculating the amount of adjustment for physiological indicators.

[0093] 2. Set dynamic thresholds and adjust the parameter settings of health maintenance indicators based on personalized factors such as the patient's age, gender, disease type, etc.

[0094] 3. Introduce real-time monitoring systems, such as wearable devices, to collect patients’ physiological data in real time and automatically update health maintenance indicators.

[0095] 4. Alternatives could include establishing a patient-engaged feedback loop where patients can suggest adjustments to health maintenance indicators based on their feelings and comfort level, and the system can be optimized accordingly.

[0096] More specifically, the following steps can be further refined:

[0097] 1. Use statistical methods to determine the baseline values ​​of health maintenance indicators based on the patient's historical data of physiological indicators.

[0098] 2. Based on the patient’s real-time physiological data, an algorithm is used to calculate the daily adjustment of physiological indicators, such as the blood pressure adjustment target.

[0099] 3. Combine the basic health maintenance index and the additional health maintenance index and use the index adjustment function to calculate the final health maintenance index.

[0100] 4. Taking into account the individual differences of patients, different indicator adjustment functions can be customized for different patients to achieve more personalized health maintenance.

[0101] In some embodiments, the calculation of the patient's postoperative long-term self-management behavior optimization strategy based on the patient's daily self-management behavior adjustment strategy and health maintenance index with the goal of maximizing the patient's overall recovery effect includes: calculating the patient's daily health maintenance benefit based on the patient's daily physiological index adjustment amount and health maintenance index;

[0102] Constructing the fourth objective function with the goal of maximizing the overall recovery effect of the patient;

[0103] Taking the patient's daily physiological index adjustment, health maintenance index, behavior execution constraints, physiological index monitoring constraints and the patient's internal physiological balance constraints as constraints, the fourth objective function is solved and the patient's postoperative long-term self-management behavior optimization strategy is calculated.

[0104] It should be noted that based on the patient's daily self-management behavior adjustment strategy and health maintenance indicators, with the goal of maximizing the patient's overall recovery effect, the patient's postoperative long-term self-management behavior optimization strategy is calculated. This is a process of formulating a long-term plan to optimize the patient's postoperative self-management behavior with the purpose of improving the patient's overall recovery effect.

[0105] Specifically, self-management behavior adjustment strategies include recommendations for adjusting patients' diet, exercise, rest and other behaviors, while health maintenance indicators cover the patient's physical and mental health. These strategies and indicators will be customized according to the patient's specific situation to ensure that they meet the patient's recovery needs. Parameter settings include evaluation criteria for recovery benefits, quantification methods for health maintenance benefits, and calculation formulas for behavioral benefits and health maintenance benefits.

[0106] Preferably, in order to implement this calculation process more accurately, the following refinement operations or alternative solutions may be adopted:

[0107] 1. Develop a comprehensive assessment system that can collect and analyze patients’ physiological and psychological data in real time to determine the best self-management behavior modification strategies.

[0108] 2. Design an algorithm that can dynamically adjust health maintenance indicators and self-management behavior adjustment strategies based on the patient’s recovery progress and health data.

[0109] 3. Introduce an expert system to provide patients with personalized guidance and advice to help them better follow self-management behavior adjustment strategies.

[0110] More specifically, the following steps can be further refined:

[0111] 1. Define a series of key performance indicators (KPIs), such as blood pressure control, blood sugar levels, physical activity, etc., as the basis for evaluating the patient's recovery effect.

[0112] 2. Use data analytics tools to perform trend analysis on patients’ daily health data to identify behavioral patterns that need to be optimized.

[0113] 3. Based on the analysis results, automatically adjust the patient's self-management behavior plan, such as increasing or decreasing the amount of exercise, adjusting the diet structure, etc.

[0114] 4. Design a feedback mechanism that allows patients to report on the implementation of self-management behaviors and physical feelings, so that the system can further optimize and adjust the strategy accordingly.

[0115] 5. Alternatives could include the use of mobile applications to track patients’ self-management behaviors and provide real-time feedback and adjustment recommendations.

[0116] In some embodiments, the calculation method of the patient's postoperative long-term self-management behavior optimization strategy is:

[0117] in, and They are the stable behavior set and the adjustment behavior set in the patient's long-term self-management behavior optimization strategy after surgery; and Respectively, they represent the specific behavioral benefits of the patient in stabilizing behavior and adjusting behavior; and They represent the health maintenance indicators of patients in stable behavior and adjustment behavior, respectively; and Represent the health maintenance benefits of patients in stabilizing behaviors and adjusting behaviors, respectively.

[0118] It should be noted that the calculation method for optimizing the patient's long-term self-management behavior after surgery is a calculation framework used to develop a long-term self-management behavior optimization plan for the patient. This plan will be based on the patient's postoperative stable behavior and adjustment behavior, and the impact of these behaviors on health maintenance benefits.

[0119] Specifically, the "stable behavior set" and the "adjustment behavior set" represent the routine behaviors that patients should continue after surgery and the behaviors that need to be adjusted according to their recovery status. The specific behavioral benefits and health maintenance indicators measure the direct impact of these behaviors on patients' health and the degree to which they are achieved as health maintenance goals, respectively. The "health maintenance benefit" refers to the positive contribution of these behaviors to the overall health status of patients.

[0120] Preferably, in order to implement this calculation method more accurately, the following refinement operations or alternative solutions may be adopted:

[0121] 1. Use historical data and statistical models to predict the long-term effects of different behaviors on health indicators, thereby determining a set of stabilizing and modifying behaviors.

[0122] 2. Set a set of evaluation criteria for quantifying behavioral and health maintenance benefits that can be based on medical research and clinical practice.

[0123] 3. Develop a decision support system that can provide personalized self-management behavior recommendations based on patients’ behavioral data and health indicators.

[0124] More specifically, the following steps may be further included:

[0125] 1. Define behaviors in the stable behavior set, such as taking medication regularly, eating a balanced diet, etc., and set specific execution standards and frequencies for these behaviors.

[0126] 2. Identify behaviors in the adjustment behavior set, such as increasing the amount of exercise as appropriate based on the patient’s recovery, or adjusting the diet to accommodate changes in nutritional needs.

[0127] 3. Use machine learning algorithms to analyze patients’ behavioral data and health indicators, and automatically update the set of stable behaviors and adjusted behaviors to adapt to the patient’s recovery process.

[0128] 4. Design a real-time monitoring and feedback system that allows patients to report behavioral execution and physical reactions, and the system adjusts the optimization strategy accordingly.

[0129] 5. Alternative solutions may include establishing a multidisciplinary team, including doctors, nutritionists, physical therapists, etc., to jointly develop and adjust self-management behavior optimization strategies for patients.

[0130] In some embodiments, the third objective function is as shown in the following formula:

[0131] represents the total number of days during the postoperative recovery period, represents the adjustment amount of the patient's physiological index on day t, It is a function that measures the stability of the patient's physiological indicators on day t.

[0132] In some embodiments, the fourth objective function is shown in the following formula:

[0133] represents the number of long-term behaviors or strategies considered during postoperative recovery, represents the patient's ith long-term self-management behavior or strategy, It is a function that measures the effectiveness of a patient's long-term self-management behavior or strategy.

[0134] Specifically, and As shown in the following formula;

[0135]

[0136] is the patient's physiological index vector on day t, is the reference value or target value of the jth physiological index, is the total number of physiological indicators considered.

[0137]

[0138] is the patient's ith long-term self-management behavior or strategy, Representation and The associated cumulative health benefit, k and b are parameters used to adjust the functional response curve.

[0139] The above-mentioned embodiments of the present invention have the following beneficial effects: by implementing the self-management behavior monitoring method for patients after interventional treatment of the present invention, patients can obtain a more accurate and personalized health management plan. This method can ensure that the health status of patients during recovery is optimized by continuously monitoring and adjusting the physiological indicators and self-management behaviors of patients, thereby significantly improving the efficiency and quality of postoperative recovery. In addition, the method helps patients establish continuous health maintenance habits, reduce the risk of postoperative complications, and improve the quality of life through long-term self-management behavior optimization strategies. Further, by dynamically adjusting health maintenance indicators and self-management behavior plans, patients can receive personalized treatment that is more in line with their current health status; further, the systematic objective function and constraints provide doctors with scientific decision-making support, making the treatment plan more reasonable and effective; finally, by participating in the adjustment process of self-management behavior, patients can enhance their sense of control and responsibility for their own health, which plays an important role in improving patient compliance and promoting long-term health.

[0140] It should be noted that some embodiments of the present disclosure may also include a computer-readable medium, and the computer-readable storage medium may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, device or device. In some embodiments of the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer readable signal media may also be any computer readable medium other than computer readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0141] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0142] The computer-readable medium may be included in the electronic device; or it may exist independently without being assembled into the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: with the goal of optimizing the health status of the patient during the postoperative recovery period, calculate the patient's daily self-management behavior plan, the patient's monitoring plan for each physiological index, and the patient's health maintenance index during the recovery period; based on the patient's daily self-management behavior plan, the patient's monitoring plan for each physiological index, and the patient's health maintenance index during the recovery period, with the goal of stabilizing the patient's daily physiological index, calculate the patient's daily physiological index adjustment amount and health maintenance index; based on the patient's daily physiological index adjustment amount and health maintenance index, with the goal of maximizing the overall recovery efficiency of the patient after surgery, calculate the patient's daily self-management behavior adjustment strategy and health maintenance index; based on the patient's daily self-management behavior adjustment strategy and health maintenance index, with the goal of maximizing the overall recovery effect of the patient, calculate the patient's long-term self-management behavior optimization strategy after surgery.

[0143] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0144] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0145] The units described in some embodiments of the present disclosure may be implemented in software or in hardware. The units described may also be provided in a processor, and the functions described above herein may be at least partially performed by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0146] The above description is only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by the specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to). The above description is only some preferred embodiments of the present invention and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by the specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to).

Claims

1. A method for monitoring the self-management behavior of patients after interventional therapy, characterized in that: The steps include: With the goal of optimizing the health status of patients during postoperative recovery, the patient's daily self-management behavior plan, the patient's physiological index monitoring plan, and the patient's daily health maintenance index are calculated; Based on the patient's daily self-management behavior plan, the patient's monitoring plan for each physiological index, and the patient's daily health maintenance index, with the stability of the patient's daily physiological index as the goal, the patient's daily physiological index adjustment amount and health maintenance index are calculated; Based on the patient's daily physiological index adjustment and health maintenance index, with the goal of maximizing the overall recovery efficiency of the patient after surgery, the patient's daily self-management behavior adjustment strategy and health maintenance index are calculated; Based on the patient's daily self-management behavior adjustment strategy and health maintenance indicators, with the goal of maximizing the patient's overall recovery effect, the patient's long-term self-management behavior optimization strategy after surgery is calculated; The above-mentioned long-term self-management behavior optimization strategy after surgery is calculated based on the patient's daily self-management behavior adjustment strategy and health maintenance index, with the goal of maximizing the patient's overall recovery effect, including: calculating the patient's daily health maintenance benefit based on the patient's daily physiological index adjustment amount and health maintenance index; constructing a first objective function with the goal of maximizing the patient's overall recovery effect based on the patient's postoperative recovery benefit, health maintenance benefit, daily health maintenance benefit, physiological index deviation assessment index, and self-management behavior deviation penalty index; The first objective function is solved with the patient's physiological index monitoring model, the patient's daily self-management behavior constraints, the physiological index deviation assessment index constraints, the self-management behavior deviation penalty index constraints and the patient's internal physiological balance constraints as constraints to obtain the patient's postoperative long-term self-management behavior optimization strategy; the patient's physiological index deviation assessment index calculation method is: in, It indicates the unit deviation assessment index; and Respectively, the patients Actual physiological indicators and adjustment targets for the day; Indicates The acceptable deviation range of the day; Indicates tolerance for deviation; The calculation method of the patient's self-management behavior deviation penalty index is: in, Indicates that the patient Days of self-management behavior deviation; Represents the behavioral deviation penalty coefficient.

2. The monitoring method according to claim 1, characterized in that: The second objective function is constructed with the goal of optimizing the health status of patients during the postoperative recovery period. The patient's daily self-management behavior plan and the monitoring plan of the patient's physiological indicators are used as constraints. The second objective function is solved to obtain the patient's daily self-management behavior plan after surgery, the monitoring plan of various physiological indicators, and the patient's daily health maintenance indicators.

3. The monitoring method according to claim 2, characterized in that: The method of calculating the patient's daily physiological index adjustment amount and health maintenance index based on the patient's daily self-management behavior plan, the patient's monitoring plan for each physiological index, and the patient's daily health maintenance index, with the stability of the patient's daily physiological index as the goal, includes: constructing the patient's daily behavior execution constraints based on the patient's daily self-management behavior plan; constructing the patient's daily physiological index monitoring constraints based on the patient's monitoring plan for each physiological index; and constructing the patient's daily health maintenance index constraints based on the patient's daily health maintenance index; Taking the patient's daily behavior execution constraints, physiological indicator monitoring constraints, health maintenance indicator constraints and patient's internal physiological balance constraints as constraints, and taking the stability of the patient's daily physiological indicators as the goal, the third objective function is constructed, and the patient's daily physiological indicator adjustment amount and health maintenance indicator are solved.

4. The monitoring method according to claim 3, characterized in that: Based on the patient's daily physiological index adjustment amount and health maintenance index, the health maintenance index is calculated, and the calculation method is: in, Indicates basic health maintenance indicators; represents the additional health maintenance index calculated based on the adjustment of physiological indexes; Represents the indicator adjustment function.

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