Traceable post-operation whole-course management follow-up visit system and method and electronic equipment
By introducing a traceable full-process management follow-up system for postoperative follow-up management, the problem of unscientific follow-up strategy formulation and evaluation mechanism in the existing technology is solved, and the accuracy and efficiency of follow-up management are improved to ensure that the strategy matches patient needs.
Patent Information
- Application Number
- CN202411685574.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-23
- Publication Date
- 2025-02-25
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing postoperative follow-up management lacks a scientific and systematic strategy formulation and evaluation mechanism, which makes it difficult to ensure the accuracy and efficiency of follow-up management, and the follow-up strategy is difficult to personalize and adjust dynamically.
Provide a traceable full-process management follow-up system, including a follow-up strategy simulation module, a follow-up strategy selection module and a strategy traceability reset module. Multiple follow-up strategies were generated through the postoperative simulation environment, the optimal strategy was selected and postoperative follow-up was conducted, the follow-up data was recorded and analyzed in real time, and the strategy was dynamically adjusted to adapt to the patient's actual recovery.
The accuracy and efficiency of postoperative follow-up management are improved, ensuring that the follow-up strategy matches the individual differences and actual needs of the patients, and improving the postoperative rehabilitation effect and patient satisfaction.
Smart Images
Figure CN119517303A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of postoperative follow-up management, and more specifically, to a traceable postoperative full-course management follow-up system, method and electronic equipment. Background Art
[0002] In the current medical field, postoperative follow-up is an indispensable part of the patient's rehabilitation process, and is of great significance to the patient's recovery effect, the prevention of complications, and the improvement of medical quality. With the development of telemedicine detection, postoperative follow-up can also be conducted remotely, and doctors can understand the patient's rehabilitation data through remote rehabilitation monitoring equipment. However, doctors often rely on personal experience and subjective judgment to analyze rehabilitation data, thereby artificially customizing follow-up strategies. There is a lack of scientific and systematic follow-up strategy formulation and evaluation mechanisms, which makes it difficult to ensure the accuracy and efficiency of follow-up management.
[0003] First, the formulation of the above-mentioned follow-up strategies often lacks personalized considerations and fails to fully take into account the individual differences of patients and the specific circumstances of postoperative recovery. This may lead to a mismatch between the follow-up strategy and the actual needs of the patient, affecting the patient's recovery process and satisfaction. Secondly, the above-mentioned follow-up methods lack a comprehensive record and traceability mechanism for the follow-up process, and the follow-up strategy often lacks the ability to dynamically adjust during implementation. Once the follow-up strategy is determined, it is difficult to make timely and effective adjustments based on the patient's actual recovery. This may lead to poor results of the follow-up strategy in actual application, and may even cause unnecessary distress and harm to the patient. Summary of the invention
[0004] In view of the deficiencies in the prior art, the object of the present invention is to provide a traceable full-course postoperative management follow-up system, method and electronic equipment.
[0005] To achieve the above object, the present invention provides the following technical solutions:
[0006] A traceable postoperative full-process management follow-up system, including a follow-up strategy simulation module, a follow-up strategy selection module, and a strategy tracing and resetting module;
[0007] The follow-up strategy simulation module is used to construct a postoperative simulation environment and generate multiple postoperative follow-up strategies based on the postoperative simulation environment;
[0008] The follow-up strategy selection module is used to obtain the follow-up strategy index of each postoperative follow-up strategy, and mark the postoperative follow-up strategy with the largest follow-up strategy index value as the final selected follow-up strategy;
[0009] The strategy tracing reset module performs postoperative follow-up on the patient's recovery process based on the final follow-up strategy. After each follow-up, a patient follow-up log is generated to obtain the patient's follow-up tracing management value. Based on the comparison result of the follow-up tracing management value and its threshold, it is determined whether the final follow-up strategy needs to be reselected.
[0010] Furthermore, the patient's basic recovery plan is obtained, the initial data of various types of recovery indicators of the patient are obtained, and a postoperative simulation environment is constructed based on the basic recovery plan and the initial data of various types of recovery indicators.
[0011] Furthermore, the follow-up strategy index of the postoperative follow-up strategy is obtained in the following way: in a postoperative simulation environment, the patient is followed up based on the postoperative follow-up strategy, a patient follow-up log is generated after each follow-up, all the patient follow-up logs are sorted in the order of the follow-up time, the follow-up indication evaluation index of the next adjacent patient follow-up log after sorting is calculated by difference with the follow-up indication evaluation index of the previous patient follow-up log to obtain the follow-up indication change index, and the follow-up indication change boundary index is set. When the follow-up indication change index is greater than the follow-up indication change boundary index, the number of follow-up improvements is increased by one, and when the follow-up indication change index is less than or equal to the follow-up indication change boundary index, the number of follow-up improvements is increased by one. When the follow-up indication change boundary index is greater than or equal to the follow-up continuity assessment boundary index, no corresponding treatment is performed, and the number of follow-up improvements is marked as Sert. The follow-up indication evaluation indexes of the two adjacent follow-up logs of the sorted patients are summed to obtain the follow-up continuous evaluation index, and the follow-up continuous evaluation boundary index is set. When the follow-up continuous evaluation index is greater than the follow-up continuous evaluation boundary index, the number of continuous ideal follow-ups is increased by one. When the follow-up continuous evaluation index is less than or equal to the follow-up continuous evaluation boundary index, no corresponding treatment is performed, and the number of continuous ideal follow-ups is marked as Tgpm. The follow-up indication evaluation indexes of all patient follow-up logs are summed and averaged to obtain the average follow-up evaluation index Ashb. The formula is used The follow-up strategy index Dyg of the postoperative follow-up strategy was obtained, where s1 was the follow-up improvement coefficient, s2 was the continuous ideal follow-up coefficient, and s3 was the average follow-up evaluation index coefficient.
[0012] Furthermore, the patient follow-up log includes the follow-up number, follow-up time, and follow-up indication assessment index.
[0013] Furthermore, the follow-up indication evaluation index of the patient follow-up log is obtained in the following manner: when following up the patient, the follow-up data of each type of recovery indication of the patient is obtained, the follow-up data of each type of recovery indication is preprocessed, the preprocessed follow-up data of each type of recovery indication is organized into a recovery indication data set, a follow-up indication analysis model is obtained, the recovery indication data set is used as input data of the follow-up indication analysis model, and the follow-up indication analysis model outputs the follow-up indication evaluation index of the patient's follow-up log.
[0014] Furthermore, the follow-up tracing management value of the patient is obtained in the following way: obtain all the follow-up logs of the patient during the recovery process, obtain the follow-up serial number of the patient follow-up log, obtain all the follow-up logs of the patient in the final follow-up strategy in the postoperative simulation environment, group the two patient follow-up logs with the same follow-up serial number into one group and mark them as a tracing comparison group, calculate the difference of the follow-up indication evaluation indexes of the two patient follow-up logs in the tracing comparison group and take the absolute value to obtain the indication difference index of the tracing comparison group, set the indication difference boundary index, when the indication difference index is greater than the indication difference boundary index, increase the number of indication differences by one, when the indication difference index is less than or equal to the indication difference boundary index, do not perform the corresponding processing, mark the number of indication differences as Prtd, sort all the tracing comparison groups in order from small to large according to the size of the follow-up serial number, calculate the difference of the indication difference indexes of the two adjacent tracing comparison groups after sorting and take the absolute value to obtain the tracing comparison fluctuation index, sum and average all the tracing comparison fluctuation indexes to obtain the tracing comparison fluctuation average index Fsgh, and use the formula The patient's follow-up retrospective management value TAZ is obtained, where g1 is the indication difference quantity coefficient and g2 is the retrospective comparison fluctuation average index coefficient.
[0015] Furthermore, based on the comparison result between the follow-up tracing management value and its threshold, it is determined whether it is necessary to reselect the final follow-up strategy. Specifically, a follow-up tracing management threshold is set. When the follow-up tracing management value is greater than the follow-up tracing management threshold, real-time data of various types of recovery indications of the patient are obtained. When the follow-up tracing management value is less than or equal to the follow-up tracing management threshold, no corresponding processing is performed. A digital twin model is constructed based on the basic recovery plan and real-time data of various types of recovery indications. The postoperative simulation environment is obtained according to the digital twin model, and the final follow-up strategy is reselected based on the postoperative simulation environment.
[0016] Furthermore, the postoperative management and follow-up method can be traced, including the following steps:
[0017] Step 1: Construct a postoperative simulation environment and generate multiple postoperative follow-up strategies based on the postoperative simulation environment;
[0018] Step 2: Obtain the follow-up strategy index of each postoperative follow-up strategy, and mark the postoperative follow-up strategy with the largest follow-up strategy index value as the final selected follow-up strategy;
[0019] Step 3: Follow up the patient's recovery process after surgery based on the final follow-up strategy;
[0020] Step 4: After each follow-up, generate a patient follow-up log, obtain the patient's follow-up tracing management value, and determine whether it is necessary to reselect the final follow-up strategy based on the comparison result between the follow-up tracing management value and its threshold.
[0021] Compared with the prior art, the present invention has the following beneficial effects:
[0022] 1. The method of the present invention formulates various postoperative follow-up strategies for simulated follow-up through a postoperative simulation environment, conducts a three-dimensional analysis of each postoperative follow-up strategy from multiple angles, comprehensively selects the optimal postoperative follow-up strategy for postoperative follow-up of the patient, and timely replaces the final selected follow-up strategy on the basis of ensuring the accuracy of follow-up management;
[0023] 2. Set up a follow-up strategy simulation module and a follow-up strategy selection module to customize the postoperative follow-up strategy according to the patient's actual situation, record the follow-up of each postoperative follow-up strategy, ensure the traceability of the entire postoperative management, and set up a strategy traceability reset module to track, analyze and manage the actual follow-up process of the final follow-up strategy. On the basis of ensuring the dynamic adaptability of the follow-up strategy, ensure the quality of postoperative medical management and patient satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] Figure 1 A flowchart of the whole postoperative management and follow-up method that can be traced;
[0025] Figure 2 A flowchart for reselecting the final follow-up strategy;
[0026] Figure 3 This is a module block diagram of a traceable postoperative management and follow-up system. DETAILED DESCRIPTION
[0027] Example 1
[0028] Reference Figure 1 , the whole postoperative management follow-up method can be traced, including the following steps:
[0029] Step 1: Construct a postoperative simulation environment and generate multiple postoperative follow-up strategies based on the postoperative simulation environment.
[0030] Step 2: Obtain the follow-up strategy index of each postoperative follow-up strategy, and mark the postoperative follow-up strategy with the largest follow-up strategy index value as the final follow-up strategy.
[0031] Step 3: Follow up the patient's recovery process postoperatively based on the final follow-up strategy.
[0032] Step 4: After each follow-up, generate a patient follow-up log, obtain the patient's follow-up tracing management value, and determine whether it is necessary to reselect the final follow-up strategy based on the comparison result between the follow-up tracing management value and its threshold.
[0033] The above method formulates various postoperative follow-up strategies for simulated follow-up through a postoperative simulation environment, conducts a three-dimensional analysis of each postoperative follow-up strategy from multiple angles, comprehensively selects the optimal postoperative follow-up strategy for postoperative follow-up of patients, and promptly replaces the final follow-up strategy on the basis of ensuring the accuracy of follow-up management.
[0034] Example 2
[0035] Reference Figure 2-Figure 3 , a traceable postoperative follow-up management system, including a follow-up strategy simulation module, a follow-up strategy selection module, and a strategy tracing reset module.
[0036] Follow-up strategy simulation module: obtain the patient's basic recovery plan (the basic recovery plan designed by the doctor for the patient's postoperative recovery period based on the patient's postoperative condition), obtain the initial data of the patient's various types of recovery indications (the types of recovery indications include but are not limited to physiological indications, functional indications, and psychological indications. The initial data is the data of the corresponding type of recovery indications of the patient after surgery), build a digital twin model based on the basic recovery plan and the initial data of various types of recovery indications, obtain the postoperative simulation environment based on the digital twin model, and generate multiple postoperative follow-up strategies based on the postoperative simulation environment.
[0037] Follow-up strategy selection module: obtain the follow-up strategy index of each postoperative follow-up strategy, and mark the postoperative follow-up strategy with the largest follow-up strategy index value as the final follow-up strategy.
[0038] Set up a follow-up strategy simulation module and a follow-up strategy selection module, customize the postoperative follow-up strategy according to the patient's actual situation, and record the follow-up of each postoperative follow-up strategy to ensure the traceability of the entire postoperative management.
[0039] The follow-up strategy index of the postoperative follow-up strategy is obtained in the following way: in a postoperative simulation environment, the patient is followed up based on the postoperative follow-up strategy, and a patient follow-up log is generated after each follow-up. The patient follow-up log includes a follow-up sequence number (in a postoperative follow-up strategy, each patient follow-up log corresponds to a follow-up sequence number, and the follow-up sequence number is n, n=1, 2, ..., n, and the follow-up sequence number increases successively. The later the patient follow-up log is, the larger the follow-up sequence number is), the follow-up time (the corresponding time for generating the patient follow-up log), and the follow-up indication evaluation index. All patient follow-up logs are sorted in order according to the chronological order of the follow-up time, and the follow-up indication evaluation index of the next adjacent patient follow-up log after sorting is calculated by difference with the follow-up indication evaluation index of the previous patient follow-up log to obtain the follow-up indication change index, and the follow-up indication change boundary index is set (the system threshold can be set according to system requirements numerical value), when the follow-up indication change index is greater than the follow-up indication change boundary index, the number of follow-up improvements is increased once, when the follow-up indication change index is less than or equal to the follow-up indication change boundary index, no corresponding processing is performed, and the number of follow-up improvements is marked as Sert, and the follow-up indication evaluation indexes of the two adjacent patient follow-up logs after sorting are summed to obtain the follow-up continuous evaluation index, and the follow-up continuous evaluation boundary index is set (the system threshold value, the numerical value can be set according to system requirements), when the follow-up continuous evaluation index is greater than the follow-up continuous evaluation boundary index, the number of continuous ideal follow-ups is increased once, when the follow-up continuous evaluation index is less than or equal to the follow-up continuous evaluation boundary index, no corresponding processing is performed, and the number of continuous ideal follow-ups is marked as Tgpm, and the follow-up indication evaluation indexes of all patient follow-up logs are summed and averaged to obtain the average follow-up evaluation index Ashb, and the formula is used The follow-up strategy index Dyg of the postoperative follow-up strategy was obtained, where s1 is the coefficient of follow-up improvement times, s2 is the coefficient of continuous ideal follow-up times, and s3 is the average follow-up evaluation index coefficient. The value of s1 is 2.56, the value of s2 is 1.89, and the value of s3 is 2.23.
[0040] The follow-up indication evaluation index of the patient follow-up log is obtained in the following way: when following up the patient, the follow-up data of each type of recovery indication of the patient is obtained (the follow-up data is the data of the corresponding type of recovery indication during the follow-up process), the follow-up data of each type of recovery indication is preprocessed (the preprocessing method includes but is not limited to data cleaning and format conversion), the preprocessed follow-up data of each type of recovery indication is organized into a recovery indication data set, a follow-up indication analysis model is obtained, the recovery indication data set is used as the input data of the follow-up indication analysis model, and the follow-up indication analysis model outputs the follow-up indication evaluation index of the patient's follow-up log.
[0041] This embodiment will disclose the construction method of the follow-up indication analysis model: collect y recovery indication data sets, each recovery indication data set contains follow-up data of physiological indications, follow-up data of functional indications, follow-up data of psychological indications, etc., build a neural network model, use the recovery indication data set as training data of the neural network model, assign a follow-up indication evaluation index to each training data, the value set of the follow-up indication evaluation index is greater than 0, divide the training data into a training set and a validation set according to a preset ratio, the preset ratio can be set according to demand, and this embodiment does not limit it, perform neural network iterative training on the training set and the validation set, and obtain a follow-up indication analysis model after the training is completed. The larger the value of the follow-up indication evaluation index, the more significant the patient's recovery progress during follow-up, and the smaller the value of the follow-up indication evaluation index, the less significant the patient's recovery progress during follow-up.
[0042] Strategy tracing reset module: Perform postoperative follow-up on the patient's recovery process based on the final follow-up strategy. After each follow-up, generate a patient follow-up log, obtain the patient's follow-up tracing management value, set the follow-up tracing management threshold (system threshold, the value can be set according to system requirements), and when the follow-up tracing management value is greater than the follow-up tracing management threshold, obtain real-time data of various types of recovery indicators of the patient. When the follow-up tracing management value is less than or equal to the follow-up tracing management threshold, no corresponding processing is performed. A digital twin model is constructed based on the basic recovery plan and real-time data of various types of recovery indicators, and a postoperative simulation environment is obtained based on the digital twin model. The final follow-up strategy is reselected based on the postoperative simulation environment.
[0043] By setting up a strategy tracing and reset module, the actual follow-up process of the final follow-up strategy can be tracked, analyzed and managed, thereby ensuring the quality of postoperative medical management and patient satisfaction while ensuring the dynamic adaptability of the follow-up strategy.
[0044] The follow-up traceability management value of the patient is obtained in the following way: obtain all the patient follow-up logs of the patient in the recovery process, obtain the follow-up serial number of the patient follow-up log, obtain all the patient follow-up logs of the final follow-up strategy in the postoperative simulation environment, group the two patient follow-up logs with the same follow-up serial number into one group (the patient follow-up log generated by the patient in the recovery process and the patient follow-up log in the postoperative simulation environment have the same follow-up serial number), and mark them as the traceability comparison group, calculate the difference between the follow-up indication evaluation indexes of the two patient follow-up logs in the traceability comparison group and take the absolute value, and obtain the traceability comparison group. Indication difference index, set the indication difference boundary index, when the indication difference index is greater than the indication difference boundary index, increase the number of indication differences by one, when the indication difference index is less than or equal to the indication difference boundary index, do not do the corresponding processing, mark the number of indication differences as Prtd, sort all the retrospective comparison groups in order from small to large according to the size of the follow-up sequence, calculate the difference between the indication difference indexes of the two adjacent retrospective comparison groups after sorting and take the absolute value to obtain the retrospective comparison fluctuation index, sum up all the retrospective comparison fluctuation indexes and take the average to obtain the retrospective comparison fluctuation average index Fsgh, use the formula The patient's follow-up traceability management value TAZ was obtained, where g1 is the indication difference quantity coefficient, g2 is the traceability comparison fluctuation index coefficient, the value of g1 is 1.38, and the value of g2 is 1.99.
[0045] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.
[0046] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.
[0047] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
[0048] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.
[0049] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0050] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.
[0051] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.
[0052] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.
Claims
1. A traceable postoperative management and follow-up system, characterized by: It includes follow-up strategy simulation module, follow-up strategy selection module and strategy retrospective reset module; The follow-up strategy simulation module is used to construct a postoperative simulation environment and generate multiple postoperative follow-up strategies based on the postoperative simulation environment; The follow-up strategy selection module is used to obtain the follow-up strategy index of each postoperative follow-up strategy, and mark the postoperative follow-up strategy with the largest follow-up strategy index value as the final selected follow-up strategy; The strategy tracing reset module performs postoperative follow-up on the patient's recovery process based on the final follow-up strategy. After each follow-up, a patient follow-up log is generated to obtain the patient's follow-up tracing management value. Based on the comparison result of the follow-up tracing management value and its threshold, it is determined whether the final follow-up strategy needs to be reselected.
2. The traceable postoperative full-course management and follow-up system according to claim 1 is characterized in that: Constructing a postoperative simulation environment, specifically: obtaining the patient's basic recovery plan, obtaining the initial data of various types of recovery indicators of the patient, and constructing a postoperative simulation environment based on the basic recovery plan and the initial data of various types of recovery indicators.
3. The traceable postoperative full-course management and follow-up system according to claim 1 is characterized in that: The follow-up strategy index of the postoperative follow-up strategy is obtained in the following way: in a postoperative simulation environment, patients are followed up based on the postoperative follow-up strategy, a patient follow-up log is generated after each follow-up, all patient follow-up logs are sorted in the order of the follow-up time, the follow-up indication evaluation index of the next adjacent patient follow-up log after sorting is calculated by difference with the follow-up indication evaluation index of the previous patient follow-up log, and the follow-up indication change index is obtained, and the follow-up indication change boundary index is set. When the follow-up indication change index is greater than the follow-up indication change boundary index, the number of follow-up improvements is increased once, and when the follow-up indication change index is less than or equal to the follow-up indication change boundary index, the number of follow-up improvements is increased once. When the follow-up continuous evaluation index is less than or equal to the follow-up continuous evaluation index, no corresponding treatment is performed, and the number of follow-up improvements is marked as Sert. The follow-up indication evaluation indexes of the two adjacent follow-up logs of the sorted patients are summed to obtain the follow-up continuous evaluation index, and the follow-up continuous evaluation boundary index is set. When the follow-up continuous evaluation index is greater than the follow-up continuous evaluation boundary index, the number of continuous ideal follow-ups is increased by one. When the follow-up continuous evaluation index is less than or equal to the follow-up continuous evaluation boundary index, no corresponding treatment is performed, and the number of continuous ideal follow-ups is marked as Tgpm. The follow-up indication evaluation indexes of all patient follow-up logs are summed and averaged to obtain the average follow-up evaluation index Ashb. The formula is used The follow-up strategy index Dyg of the postoperative follow-up strategy was obtained, where s1 was the follow-up improvement coefficient, s2 was the continuous ideal follow-up coefficient, and s3 was the average follow-up evaluation index coefficient.
4. The traceable postoperative full-course management and follow-up system according to claim 3 is characterized in that: The patient follow-up log includes the follow-up number, follow-up time, and follow-up indication assessment index.
5. The traceable postoperative full-course management and follow-up system according to claim 4 is characterized in that: The follow-up indication evaluation index of the patient follow-up log is obtained in the following manner: when following up the patient, the follow-up data of each type of recovery indication of the patient is obtained, the follow-up data of each type of recovery indication is preprocessed, the preprocessed follow-up data of each type of recovery indication is organized into a recovery indication data set, a follow-up indication analysis model is obtained, the recovery indication data set is used as input data of the follow-up indication analysis model, and the follow-up indication analysis model outputs the follow-up indication evaluation index of the patient's follow-up log.
6. The traceable postoperative full-course management and follow-up system according to claim 1, characterized in that: The follow-up tracing management value of the patient is obtained in the following way: obtain all the follow-up logs of the patient during the recovery process, obtain the follow-up serial number of the patient follow-up log, obtain all the follow-up logs of the patient in the final follow-up strategy in the postoperative simulation environment, group the two patient follow-up logs with the same follow-up serial number into one group and mark them as the tracing comparison group, calculate the difference of the follow-up indication evaluation indexes of the two patient follow-up logs in the tracing comparison group and take the absolute value to obtain the indication difference index of the tracing comparison group, set the indication difference boundary index, when the indication difference index is greater than the indication difference boundary index, increase the number of indication differences by one, when the indication difference index is less than or equal to the indication difference boundary index, do not do the corresponding processing, mark the number of indication differences as Prtd, sort all the tracing comparison groups in order from small to large according to the size of the follow-up serial number, calculate the difference of the indication difference indexes of the two adjacent tracing comparison groups after sorting and take the absolute value to obtain the tracing comparison fluctuation index, sum and average all the tracing comparison fluctuation indexes to obtain the tracing comparison fluctuation average index Fsgh, and use the formula The patient's follow-up retrospective management value TAZ is obtained, where g1 is the indication difference quantity coefficient and g2 is the retrospective comparison fluctuation average index coefficient.
7. The traceable postoperative full-course management and follow-up system according to claim 1 is characterized in that: Based on the comparison result between the follow-up tracing management value and its threshold, determine whether it is necessary to reselect the final follow-up strategy. Specifically, set the follow-up tracing management threshold. When the follow-up tracing management value is greater than the follow-up tracing management threshold, obtain the real-time data of various types of recovery indications of the patient. When the follow-up tracing management value is less than or equal to the follow-up tracing management threshold, do not perform corresponding processing. Construct a digital twin model based on the basic recovery plan and real-time data of various types of recovery indications, obtain the postoperative simulation environment based on the digital twin model, and reselect the final follow-up strategy based on the postoperative simulation environment.
8. A traceable postoperative full-course management and follow-up method, applied to the traceable postoperative full-course management and follow-up system according to claim 1, characterized in that: The steps include: Step 1: Construct a postoperative simulation environment and generate multiple postoperative follow-up strategies based on the postoperative simulation environment; Step 2: Obtain the follow-up strategy index of each postoperative follow-up strategy, and mark the postoperative follow-up strategy with the largest follow-up strategy index value as the final selected follow-up strategy; Step 3: Follow up the patient's recovery process after surgery based on the final follow-up strategy; Step 4: After each follow-up, generate a patient follow-up log, obtain the patient's follow-up tracing management value, and determine whether it is necessary to reselect the final follow-up strategy based on the comparison result between the follow-up tracing management value and its threshold.
9. An electronic device that can trace the entire postoperative management and follow-up process, characterized in that: Applicable to implementing the traceable full-course postoperative management follow-up method described in claim 8.