Postoperative health management method and system

Abstract

The present invention discloses a postoperative health management method and system, and relates to the field of health management technology. The system includes a data acquisition module and a data analysis module. The postoperative health management method and system obtain the medical record data of all heart disease patients and the electrocardiogram results of all time points through the data acquisition module, and classify and form a patient data set and a functional data set. The data analysis module analyzes whether the heart disease patient has undergone multiple operations and generates the corresponding rehabilitation time. The data analysis module counts the electrocardiogram results of the heart disease patient before the operation and the electrocardiogram results after the operation, and analyzes and generates a treatment index and an abnormal data group, so that health problems are found in time and the treatment efficiency is high. According to the rehabilitation time, the treatment index and the abnormal data group, the frequency of health management of the patient is analyzed, and the rehabilitation status and health management effect of the patient after the operation are judged, and the corresponding management suggestions are output to perform health management according to individual differences.

Description

Technical Field

[0001] This invention relates to the field of health management technology, specifically to a postoperative health management method and system. Background Technology

[0002] Heart surgery is a complex and vital medical procedure used to treat various heart conditions, including coronary artery disease, valvular heart disease, and congenital heart disease. Successful heart surgery is only one part of the recovery process. Post-operative health management is equally important, involving comprehensive treatment and lifestyle adjustments. Post-operative patients will be transferred to the Intensive Care Unit (ICU) for close monitoring, including continuous monitoring of vital signs such as electrocardiogram (ECG), blood pressure, and blood oxygen saturation. Medical staff will assess the patient's recovery based on this data and adjust pain medication according to the patient's pain level to ensure a comfortable recovery environment. In the early post-operative period, patients need to gradually increase their activity level under the guidance of medical staff to prevent blood clots and promote the recovery of bodily functions. A physical therapist may develop a personalized rehabilitation plan. A proper diet is crucial for post-operative recovery. Patients need to follow their doctor's instructions and consume a balanced diet to support healing and recovery. Post-operative patients need regular follow-up examinations to monitor cardiac function and promptly detect and manage any potential complications. To reduce the risk of heart disease recurrence, patients need to make lifestyle changes, including quitting smoking, limiting alcohol consumption, maintaining a healthy diet, engaging in moderate exercise, and controlling weight. With the support of a professional medical team and the patient's own efforts, the quality of life can be improved to the greatest extent possible.

[0003] Currently, traditional postoperative health management methods use the same rehabilitation plan and medication regimen for all patients. However, each patient's physical condition, age, complications, and individual needs are different. The limitations of the management methods may not be able to ensure that each patient achieves the best recovery results. In addition, after discharge, patients lack continuous health monitoring, which can easily lead to potential health problems not being detected and treated in time, thus affecting the postoperative recovery effect and long-term health. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a postoperative health management method and system that has the advantages of timely detection of health problems, high treatment efficiency, health management tailored to individual differences, and excellent rehabilitation effects. It solves the problems of traditional postoperative health management methods neglecting individual differences, failing to detect health problems in a timely manner, and resulting in poor postoperative recovery.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a postoperative health management method, comprising the following steps:

[0006] Step 1: Obtain the medical record data of all cardiac patients by connecting to the Hospital Information System (HIS) via the network, and compile the obtained data into a patient dataset;

[0007] Step 2: Obtain the electrocardiogram (ECG) results of cardiac patients at all time points by connecting to the hospital information system (HIS) via the network, and compile the obtained data into a functional dataset;

[0008] Step 3: Based on the patient dataset, analyze whether the heart disease patients have undergone multiple surgeries and generate the corresponding recovery time. ;

[0009] Step 4: Based on the functional dataset, statistically analyze the preoperative and postoperative electrocardiogram (ECG) results of cardiac patients and generate a treatment index. and abnormal data groups ;

[0010] Step 5: Based on the recovery time Treatment index and abnormal data groups The study analyzes the frequency of patients undergoing health management, assesses the patients' postoperative recovery status and the effectiveness of health management, and outputs corresponding management recommendations.

[0011] Preferably, in step one, the expression for the patient dataset is: , This indicates the number of heart disease patients. Indicates the first Medical record data for a number of heart disease patients, including patient name, gender, age, surgical records, and past medical history. This indicates the type of surgery performed on a heart patient. The types of surgery include coronary artery bypass grafting, heart valve replacement surgery, congenital heart disease repair surgery, and heart transplantation.

[0012] Preferably, in step two, the expression for the functional dataset is: , This indicates the time point at which the electrocardiogram (ECG) results were obtained. Indicates the first The electrocardiogram (ECG) results of each heart disease patient at each time point included heart rate, atrial depolarization amplitude, ventricular depolarization amplitude, and ventricular repolarization amplitude.

[0013] Preferably, in step three, the recovery time... The calculation process is as follows:

[0014] Extracting patient data, the first Medical record data of a heart disease patient, and marked as ;like There is only a single heart surgery record in the database. The time point of this heart surgery is marked as... ; In the formula, Indicates recovery time. Indicates the current time point, This indicates the current time point minus the [number of]th [time]. The time point at which a heart patient underwent heart surgery was obtained. The recovery time for a heart disease patient after surgery and subsequent health management.

[0015] like There exists Records of each heart surgery, arranged in chronological order from morning to night. The time point of the second heart surgery was marked as , to Indicates the first The first heart patient The timing of the first heart surgery; In the formula, Indicates the duration of recovery. Indicates the first The first heart patient The timing of the first heart surgery. Indicates simultaneous calculation In each heart surgery, the difference between the time points of every two adjacent surgeries is used to obtain the... The interval between surgeries for each heart disease patient.

[0016] Preferably, in step four, the treatment index The calculation process is as follows:

[0017] Extraction function data center Electrocardiogram (ECG) results at all time points for a patient with heart disease, and marked as follows: ;

[0018] according to The timing of heart surgery was extracted. The preoperative electrocardiogram (ECG) results for patients with central heart disease, with the heart rate in the preoperative ECG results marked as... The atrial depolarization amplitude in the preoperative electrocardiogram results was marked as... The ventricular depolarization amplitude in the preoperative electrocardiogram results was marked as... The ventricular repolarization amplitude in the preoperative electrocardiogram results was marked as... At the same time, according to The timing of heart surgery was extracted. The postoperative electrocardiogram (ECG) results of patients with central heart disease are used to label the heart rate in the postoperative ECG results as follows: The atrial depolarization amplitude in the postoperative electrocardiogram results was marked as... The ventricular depolarization amplitude in the postoperative electrocardiogram results was marked as... The ventricular repolarization amplitude in the postoperative electrocardiogram results was marked as... ; In the formula, Indicates the treatment index, Indicates the first The difference in heart rate before and after surgery for a heart disease patient The weights representing the difference in heart rate before and after surgery. Indicates the first Difference in atrial depolarization amplitude before and after surgery in a heart disease patient This indicates the weight of the difference in atrial depolarization amplitude before and after surgery. Indicates the first Difference in ventricular depolarization amplitude before and after surgery in a heart disease patient The weights representing the difference in ventricular depolarization amplitude before and after surgery. Indicates the first Difference in ventricular repolarization amplitude before and after surgery in a heart disease patient The weights representing the difference in ventricular repolarization amplitude before and after surgery. , , and All are constants, and , Indicates according to , , and Weighting, comprehensive The treatment index was calculated based on the electrocardiogram results of a heart disease patient before and after surgery.

[0019] Preferably, in step four, the abnormal data group The calculation formula is as follows: In the formula, Indicates abnormal data groups. The standard heart rate is the fixed parameter used in the formula for calculating abnormal heart rate. Indicates the first The difference between the heart rate and the standard heart rate after surgery in a heart disease patient. The fixed parameter in the formula for calculating abnormal data sets, which measures whether the atrial depolarization amplitude is abnormal, is the standard atrial depolarization amplitude. Indicates the first The difference between the atrial depolarization amplitude and the standard atrial depolarization amplitude after surgery in a heart disease patient. The fixed parameter in the formula for calculating abnormal data sets, which measures whether the ventricular depolarization amplitude is abnormal, is the standard ventricular depolarization amplitude. Indicates the first The difference between the ventricular depolarization amplitude and the standard ventricular depolarization amplitude after surgery in a cardiac patient. The fixed parameter in the formula for calculating abnormal data sets, which measures whether the ventricular repolarization amplitude is abnormal, is the standard ventricular repolarization amplitude. Indicates the first The difference between the ventricular repolarization amplitude and the standard ventricular repolarization amplitude after surgery in a heart disease patient.

[0020] Preferably, in step five, if the medical record data of a single heart disease patient only contains a single heart surgery record and the recovery time is... If the duration exceeds 6 months, it is recommended that the patient undergo health management once a month. If the medical record data of a single heart disease patient contains... Based on the patient's previous heart surgery record, it is recommended that the patient undergo health management once a week.

[0021] Preferably, in step five, if the treatment index Included in the exponential threshold At this time, it indicates that the patient's postoperative recovery is in good condition, and it is recommended that the patient actively implement the health management plan. If the treatment index is good... Exceeding the exponential threshold This indicates that the patient's postoperative recovery is poor, prompting medical staff to adjust the patient's treatment plan.

[0022] Preferably, in step five, if the abnormal data group The presence of abnormal data indicates poor postoperative health management for the patient, prompting medical staff to adjust the patient's health management plan. If abnormal data groups are present... The absence of data indicates that the patient's postoperative health management was effective, and patients are encouraged to maintain their health management habits.

[0023] A postoperative health management system, which applies the postoperative health management method described above, includes a data acquisition module and a data analysis module.

[0024] The data acquisition module includes a patient data unit and an examination data unit. The patient data unit connects to the hospital information system (HIS) via a network to collect patient datasets, which include medical record data of all cardiac patients. The examination data unit connects to the HIS via a network to collect functional datasets, which include electrocardiogram (ECG) examination results of cardiac patients at all time points. The data acquisition module transmits the patient datasets and functional datasets to the data analysis module via the network.

[0025] The data analysis module includes a medical record analysis unit, a functional analysis unit, and a health management unit. The medical record analysis unit analyzes and generates recovery time based on the patient dataset. The data is then transmitted via network to the health management unit, where the functional analysis unit analyzes and generates a treatment index based on the functional dataset. and abnormal data groups The data is then transmitted via network to a health management unit, which determines the duration of the recovery process. Treatment index and abnormal data groups The study analyzes the frequency of patients undergoing health management, assesses the patients' postoperative recovery status and the effectiveness of health management, and outputs corresponding management recommendations.

[0026] Compared with the prior art, the present invention provides a postoperative health management method and system, which has the following beneficial effects:

[0027] This invention acquires medical record data and electrocardiogram results at all time points from all cardiac patients through a data acquisition module, and classifies them into patient datasets and functional datasets. The data analysis module analyzes whether cardiac patients have undergone multiple surgeries and generates corresponding recovery times. The shorter the interval between each surgery, the worse the patient's health status, requiring targeted adjustments to the postoperative health management plan. The data analysis module statistically analyzes the preoperative and postoperative electrocardiogram results of heart disease patients, generates treatment indices and abnormal data groups, digitally assesses the recovery effect after each examination, accurately evaluates whether the patient's heart function has returned to normal, and promptly detects health problems with high treatment efficiency.

[0028] This invention uses a data analysis module to analyze the frequency of health management for patients based on rehabilitation duration, treatment index, and abnormal data groups, and to determine the patient's postoperative rehabilitation status and the effectiveness of health management. If the treatment index... Included in the exponential threshold At this time, it indicates that the patient's postoperative recovery is in good condition, and it is recommended that the patient actively implement the health management plan. If the treatment index is good... Exceeding the exponential threshold When abnormal data is detected, it indicates that the patient's postoperative recovery is poor, prompting medical staff to adjust the patient's treatment plan. The presence of abnormal data indicates poor postoperative health management for the patient, prompting medical staff to adjust the patient's health management plan. If abnormal data groups are present... The absence of data indicates that the patient's postoperative health management was effective, and patients are encouraged to maintain good health management habits to tailor their health management to individual differences. Attached Figure Description

[0029] Figure 1 This is a diagram illustrating the steps of the method of the present invention;

[0030] Figure 2 This is a schematic diagram of the system flow of the present invention. Detailed Implementation

[0031] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] Traditional postoperative health management methods use the same rehabilitation plan and medication regimen for all patients. However, each patient's physical condition, age, complications, and individual needs are different. The limitations of these methods may prevent each patient from achieving optimal recovery. Furthermore, the lack of continuous health monitoring after discharge can lead to potential health problems going undetected and untreated, thus affecting postoperative recovery and long-term health. Therefore, this paper provides a postoperative health management method and system. Please refer to [link / reference]. Figure 1 The method includes the following steps:

[0033] Step 1: Connect to the Hospital Information System (HIS) via the network to obtain the medical records of all cardiac patients, and compile the obtained data into a patient dataset.

[0034] The expression for the patient dataset is , This indicates the number of heart disease patients. Indicates the first Medical record data for a number of heart disease patients, including patient name, gender, age, surgical records, and past medical history. This indicates the type of surgery performed on a heart patient. Surgery types include coronary artery bypass grafting (CABG), heart valve replacement surgery, congenital heart disease repair surgery, and heart transplantation. CABG is primarily used to treat coronary artery disease. A healthy segment of blood is taken and connected at one end to the aorta, while the other end is connected to the distal end of a narrowed or blocked coronary artery. This allows blood to bypass the blockage and resupply the heart muscle. Heart valve replacement surgery uses an artificial valve or animal tissue valve to replace the diseased valve, restoring normal heart function. Congenital heart disease repair surgery requires a series of complex procedures to repair or reconstruct the heart structure to ensure normal blood flow. Heart transplantation replaces a diseased heart with a healthy donor heart. Different types of heart surgery require different postoperative health management plans, which facilitates targeted assessment of each patient's recovery status.

[0035] Step 2: Obtain the electrocardiogram (ECG) results of cardiac patients at all time points by connecting to the hospital information system (HIS) via the network, and compile the obtained data into a functional dataset.

[0036] The expression for the functional dataset is , This indicates the time point at which the electrocardiogram (ECG) results were obtained. Indicates the first The electrocardiogram (ECG) results of each heart disease patient at each time point include heart rate, atrial depolarization amplitude, ventricular depolarization amplitude, and ventricular repolarization amplitude. By collecting ECG results before and after the operation, it is helpful to quickly determine whether the heart function has returned to normal and to check for arrhythmias and other phenomena.

[0037] Step 3: Based on the patient dataset, analyze whether the heart disease patients have undergone multiple surgeries and generate the corresponding recovery time. The calculation process is as follows:

[0038] Extracting patient data, the first Medical record data of a heart disease patient, and marked as ;

[0039] like There is only a single heart surgery record in the database. The time point of this heart surgery is marked as... ; In the formula, Indicates the duration of recovery. Indicates the current time point, This indicates the current time point minus the [number of]th [time]. The time point at which a heart patient underwent heart surgery was obtained. The recovery time for a heart disease patient after surgery and subsequent health management.

[0040] like There exists Records of each heart surgery, arranged in chronological order from morning to night. The time point of the second heart surgery was marked as , Indicates the first The first heart patient The timing of the first heart surgery; In the formula, Indicates the duration of recovery. Indicates the first The first heart patient The timing of the first heart surgery. Indicates simultaneous calculation In each heart surgery, the difference between the time points of every two adjacent surgeries is used to obtain the... The shorter the interval between surgeries for a heart disease patient, the worse the patient's health condition, and the more targeted the postoperative health management plan needs to be.

[0041] Step 4: Based on the functional dataset, statistically analyze the preoperative and postoperative electrocardiogram (ECG) results of cardiac patients and generate a treatment index. and abnormal data groups The calculation process is as follows:

[0042] Extraction function data center Electrocardiogram (ECG) results at all time points for a patient with heart disease, and marked as follows: ;

[0043] according to The timing of heart surgery was extracted. The preoperative electrocardiogram (ECG) results for patients with central heart disease, with the heart rate in the preoperative ECG results marked as... The atrial depolarization amplitude in the preoperative electrocardiogram results was marked as... The ventricular depolarization amplitude in the preoperative electrocardiogram results was marked as... The ventricular repolarization amplitude in the preoperative electrocardiogram results was marked as... At the same time, according to The timing of heart surgery was extracted. The postoperative electrocardiogram (ECG) results of patients with central heart disease are used to label the heart rate in the postoperative ECG results as follows: The atrial depolarization amplitude in the postoperative electrocardiogram results was marked as... The ventricular depolarization amplitude in the postoperative electrocardiogram results was marked as... The ventricular repolarization amplitude in the postoperative electrocardiogram results was marked as... ; In the formula, Indicates the treatment index, Indicates the first The difference in heart rate before and after surgery for a heart disease patient The weights representing the difference in heart rate before and after surgery. Indicates the first Difference in atrial depolarization amplitude before and after surgery in a heart disease patient This indicates the weight of the difference in atrial depolarization amplitude before and after surgery. Indicates the first Difference in ventricular depolarization amplitude before and after surgery in a heart disease patient The weights representing the difference in ventricular depolarization amplitude before and after surgery. Indicates the first Difference in ventricular repolarization amplitude before and after surgery in a heart disease patient The weights representing the difference in ventricular repolarization amplitude before and after surgery. , , and All are constants, and , Indicates according to , , and Weighting, comprehensive The electrocardiogram results of a heart patient before and after surgery were used to calculate the treatment index and digitally assess the recovery effect after each examination. In the formula, Indicates abnormal data groups. The standard heart rate is the fixed parameter used in the formula for calculating abnormal heart rate. Indicates the first The difference between the heart rate and the standard heart rate after surgery in a heart disease patient. The fixed parameter in the formula for calculating abnormal data sets, which measures whether the atrial depolarization amplitude is abnormal, is the standard atrial depolarization amplitude. Indicates the first The difference between the atrial depolarization amplitude and the standard atrial depolarization amplitude after surgery in a heart disease patient. The fixed parameter in the formula for calculating abnormal data sets, which measures whether the ventricular depolarization amplitude is abnormal, is the standard ventricular depolarization amplitude. Indicates the first The difference between the ventricular depolarization amplitude and the standard ventricular depolarization amplitude after surgery in a cardiac patient. The fixed parameter in the formula for calculating abnormal data sets, which measures whether the ventricular repolarization amplitude is abnormal, is the standard ventricular repolarization amplitude. Indicates the first The difference between the ventricular repolarization amplitude and the standard ventricular repolarization amplitude after surgery in a heart disease patient can accurately assess whether the patient's cardiac function has returned to normal, and can detect health problems in a timely manner with high treatment efficiency.

[0044] Step 5: Based on the recovery time Treatment index and abnormal data groups The study analyzes the frequency of patients undergoing health management, assesses the patients' postoperative recovery status and the effectiveness of health management, and outputs corresponding management recommendations.

[0045] If a single heart disease patient's medical record only contains a single heart surgery record, and the recovery time is... If the duration exceeds 6 months, it is recommended that the patient undergo health management once a month. If the medical record data of a single heart disease patient contains... Based on the patient's previous cardiac surgery record, it is recommended that the patient undergo health management once a week.

[0046] If the treatment index Included in the exponential threshold At this time, it indicates that the patient's postoperative recovery is in good condition, and it is recommended that the patient actively implement the health management plan. If the treatment index is good... Exceeding the exponential threshold This indicates that the patient's postoperative recovery is poor, prompting medical staff to adjust the patient's treatment plan.

[0047] If abnormal data group The presence of abnormal data indicates poor postoperative health management for the patient, prompting medical staff to adjust the patient's health management plan. If abnormal data groups are present... The absence of data indicates that the patient's postoperative health management was effective, encouraging the patient to maintain good health management habits and to tailor health management to individual differences.

[0048] A postoperative health management system includes a data acquisition module and a data analysis module;

[0049] The data acquisition module includes a patient data unit and an examination data unit. The patient data unit connects to the hospital information system (HIS) via a network to collect patient datasets, which include medical record data of all cardiac patients. The examination data unit connects to the HIS via a network to collect functional datasets, which include electrocardiogram (ECG) examination results of cardiac patients at all time points. The data acquisition module transmits the patient datasets and functional datasets to the data analysis module via the network.

[0050] The data analysis module includes a medical record analysis unit, a functional analysis unit, and a health management unit. The medical record analysis unit analyzes and generates recovery time based on the patient dataset. The data is then transmitted via network to the health management unit, where the functional analysis unit analyzes and generates a treatment index based on the functional dataset. and abnormal data groups The data is transmitted via network to the health management unit, enabling timely detection of health problems and high treatment efficiency. The health management unit adjusts the treatment plan based on the recovery time. Treatment index and abnormal data groups The study analyzes the frequency of patients undergoing health management, assesses the patients' postoperative recovery status and the effectiveness of health management, and outputs corresponding management recommendations to address individual differences in health management.

[0051] Example 1: In this experiment, a patient who had undergone three heart surgeries was selected as the experimental subject. Statistics showed that the three heart surgeries were performed in December 2021, November 2022, and May 2024, respectively. The patient's recovery time... The calculation formula is as follows: In the formula, The time interval between the two adjacent surgeries in each of the three heart surgeries was calculated, which indicates the recovery time. The time interval between each surgery for this heart disease patient was 11 months and 18 months.

[0052] Example 2: In this experiment, a patient who had undergone coronary artery bypass surgery was selected as the experimental subject. Statistical analysis showed that the patient's preoperative electrocardiogram (ECG) results showed a heart rate of 100 bpm, atrial depolarization amplitude of 0.26 mV, and ventricular repolarization amplitude of 1.2 mV. Postoperative ECG results showed a heart rate of 70 bpm, atrial depolarization amplitude of 0.22 mV, ventricular repolarization amplitude of 0.7 mV, and ventricular repolarization amplitude of 0.2 mV. The patient's treatment index... The calculation formula is as follows: In the formula, The weights represent the treatment index: 0.3 represents the weight of the difference in heart rate before and after surgery; 0.2 represents the weight of the difference in atrial depolarization amplitude before and after surgery; 0.3 represents the weight of the difference in ventricular depolarization amplitude before and after surgery; and 0.2 represents the weight of the difference in ventricular repolarization amplitude before and after surgery. , , and All are constants, and 0.3 + 0.2 + 0, so the patient's treatment index is approximately -9.1.

[0053] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A postoperative health management method, characterized in that: The following steps are involved: Step 1: Obtain the medical records of all heart disease patients through the network connection to the hospital information system HIS, and form the patient data set with the acquired data; Step 2: Connect to the hospital information system HIS through the network to obtain the electrocardiogram results of heart disease patients at all time points, and form the obtained data into a functional data set; Step 3: Based on the patient data set, analyze whether the heart disease patient has undergone multiple surgeries and generate the corresponding recovery time ; Step 4: Based on the functional data set, the preoperative and postoperative electrocardiogram results of heart disease patients are counted and analyzed to generate the therapeutic index and abnormal data group ; Step 5: According to the duration of recovery , therapeutic index and abnormal data group , analyze the frequency of patients' health management, judge the patients' postoperative recovery status and health management effects, and output corresponding management suggestions; In step 1, the expression of the patient data set is: , represents the number of heart disease patients, Indicates The medical records of heart disease patients include the patient's name, gender, age, surgical record and medical history. represents the type of surgery performed on patients with heart disease, including coronary artery bypass surgery, heart valve replacement surgery, congenital heart disease repair surgery, and heart transplant surgery; In step 2, the expression of the functional data set is: , Indicates the time point when the electrocardiogram results are obtained. Indicates The electrocardiogram results of the heart disease patients at each time point, including heart rate, atrial depolarization amplitude, ventricular depolarization amplitude and ventricular repolarization amplitude; In step 3, the duration of recovery The calculation process is as follows: Extract patient data set, The medical records of heart disease patients are marked as ; like There is only one heart surgery record in the data, and the time point of this heart surgery is marked as ; In the formula, Indicates the duration of recovery, Indicates the current time point. The current time minus the The time point at which the heart disease patient underwent heart surgery was obtained. The length of time a heart attack patient spends on health management after surgery; like Existence The heart surgery records are sorted in chronological order from earliest to latest. The time point of the cardiac surgery is marked as , Indicates Heart disease patient The time of the next cardiac surgery; In the formula, Indicates the duration of recovery, Indicates Heart disease patient The time of heart surgery Indicates simultaneous calculation The difference between the time points of each two adjacent operations in the first heart surgery is The length of time between surgeries for each heart patient; In step 4, the therapeutic index The calculation process is as follows: Extract the feature data set The ECG results of all time points of heart disease patients are marked as ; according to The time point of cardiac surgery was drawn The preoperative electrocardiogram results of patients with heart disease are marked as , the atrial depolarization amplitude in the preoperative electrocardiogram results is marked as , the ventricular depolarization amplitude in the preoperative electrocardiogram results is marked as , the ventricular repolarization amplitude in the preoperative electrocardiogram results is marked as At the same time, according to The time point of cardiac surgery was drawn The postoperative electrocardiogram results of patients with heart disease are marked with the heart rate in the postoperative electrocardiogram results. , the atrial depolarization amplitude in the postoperative electrocardiogram results is marked as , the ventricular depolarization amplitude in the postoperative electrocardiogram results is marked as , the ventricular repolarization amplitude in the postoperative electrocardiogram results is marked as ; In the formula, represents the therapeutic index, Indicates The difference in heart rate before and after heart surgery in patients with heart disease represents the weight of the heart rate difference before and after surgery, Indicates The difference in atrial depolarization amplitude before and after surgery in a heart patient, represents the weight of the difference in atrial depolarization amplitude before and after surgery, Indicates The difference in ventricular depolarization amplitude before and after surgery in a heart patient, represents the weight of the difference in ventricular depolarization amplitude before and after surgery, Indicates The difference in ventricular repolarization amplitude before and after surgery in a heart disease patient, represents the weight of the difference in ventricular repolarization amplitude before and after surgery, , , and are constants, and , Indicates according to , , and Weight, comprehensive The electrocardiogram results of each heart disease patient before and after surgery were used to calculate the therapeutic index. In step 4, the abnormal data group The calculation formula is as follows: In the formula, represents an abnormal data set, Indicates the fixed parameter used in the calculation formula of the abnormal data group to measure whether the heart rate is abnormal, that is, the standard heart rate. Indicates The difference between the heart rate of a heart patient after surgery and the standard heart rate, Indicates the fixed parameter used in the calculation formula of the abnormal data group to measure whether the atrial depolarization amplitude is abnormal, that is, the standard atrial depolarization amplitude. Indicates The difference between the atrial depolarization amplitude of a heart patient after surgery and the standard atrial depolarization amplitude, Indicates the fixed parameter used in the calculation formula of the abnormal data group to measure whether the ventricular depolarization amplitude is abnormal, that is, the standard ventricular depolarization amplitude. Indicates The difference between the ventricular depolarization amplitude of a heart patient after surgery and the standard ventricular depolarization amplitude, Indicates the fixed parameter used in the calculation formula of the abnormal data group to measure whether the ventricular repolarization amplitude is abnormal, that is, the standard ventricular repolarization amplitude. Indicates The difference between the ventricular repolarization amplitude after heart surgery and the standard ventricular repolarization amplitude in a patient with heart disease.

2. A postoperative health management method according to claim 1, characterized in that: In step 5, if the medical record of a single heart patient only contains a single heart surgery record and the recovery time is If the patient has been treated for more than 6 months, it is recommended that the patient undergo health management once a month. Based on the record of heart surgery, it is recommended that the patient undergo health management once a week.

3. A postoperative health management method according to claim 2, characterized in that: In step 5, if the therapeutic index Included in index threshold When the treatment index is Exceeding index threshold When the patient's recovery status after surgery is poor, it reminds medical staff to adjust the patient's treatment plan.

4. A postoperative health management method according to claim 3, characterized in that: In step 5, if the abnormal data group If there is data in the abnormal data group, it means that the patient's health management effect after surgery is poor, and the medical staff is reminded to adjust the patient's health management plan. The absence of data indicates that the patient's health management effect after surgery is good, and patients are encouraged to maintain health management habits.

5. A postoperative health management system, using a postoperative health management method as described in any one of claims 1 to 4, characterized in that: Including data acquisition module and data analysis module; The data acquisition module includes a patient data unit and an examination data unit. The patient data unit is connected to the hospital information system HIS through a network to collect patient data sets, and the patient data sets include medical records of all heart disease patients. The examination data unit is connected to the hospital information system HIS through a network to collect functional data sets, and the functional data sets include electrocardiogram examination results of heart disease patients at all time points. The data acquisition module transmits the patient data sets and functional data sets to the data analysis module through the network. The data analysis module includes a medical record analysis unit, a function analysis unit and a health management unit. The medical record analysis unit generates a rehabilitation time based on the patient data set. , and transmitted to the health management unit through the network. The function analysis unit generates a therapeutic index based on the function data set. and abnormal data group , and transmitted to the health management unit through the network, and the health management unit determines the duration of rehabilitation , therapeutic index and abnormal data group , analyze the frequency of patients' health management, judge the patients' post-operative recovery status and health management effects, and output corresponding management suggestions.

Images