Evidence-based rehabilitation training system and method and storage medium

Abstract

The invention provides an evidence-based rehabilitation training system and method and a storage medium. The system comprises a server side, a patient side and a medical care side. The patient end collects basic information of a patient; the server side is used for matching a corresponding evidence-based rehabilitation scheme in an evidence-based rehabilitation scheme library according to the basic information of the patient, generating an evidence-based rehabilitation training task and sending the evidence-based rehabilitation training task to the patient side; the patient end is used for collecting patient rehabilitation change sample data, patient rehabilitation recovery effect sample data and patient training feedback sample data after the patient performs evidence-based rehabilitation training, and generating a rehabilitation state report; and the medical care terminal evaluates the evidence-based rehabilitation scheme according to the rehabilitation state report and performs individualized adjustment. The objective of the invention is to construct the shoulder arthroscopy rotator cuff repair postoperative evidence-based rehabilitation training application system, and scientificity, accuracy and continuous optimization of a rehabilitation scheme are realized through an evidence-based rehabilitation scheme library, patient information acquisition, utility analysis, individualized matching and full-period management.

Description

Technical Field

[0001] This invention relates to the field of medical rehabilitation technology, and more specifically, to an evidence-based rehabilitation training system, method, and storage medium. Background Technology

[0002] Rotator cuff injury is a common shoulder joint disease, mainly characterized by tearing or degeneration of the rotator cuff tendons, severely affecting patients' daily life and work ability. Arthroscopic rotator cuff repair is currently the main surgical method for treating rotator cuff injuries, with advantages such as minimal invasiveness and rapid recovery. However, surgery is only the first step in treatment; scientific and systematic postoperative rehabilitation exercises are crucial for the patient's functional recovery.

[0003] Currently, various methods and devices for rehabilitation training after arthroscopic rotator cuff repair are available in clinical practice. However, existing technologies still have the following shortcomings: First, most existing guidelines and expert consensus on rehabilitation exercises after rotator cuff repair were compiled by foreign experts and scholars, while domestic research on the management of rehabilitation exercises for patients after arthroscopic rotator cuff repair is relatively limited, lacking practical validation tailored to the domestic clinical context. Second, although existing research emphasizes the importance of rehabilitation exercises, a systematic exercise program has not yet been established. Third, some studies have proposed a phased rehabilitation approach, but without differentiating based on injury characteristics, making it difficult to identify specific applicable populations. Fourth, some studies have summarized the best evidence for postoperative rehabilitation care after rotator cuff injury, but have not developed a detailed plan for clinical practice guidance, limiting the practical application and effectiveness of postoperative rehabilitation for patients. Therefore, there is an urgent need to establish a systematic rehabilitation program based on evidence-based medicine after arthroscopic rotator cuff repair to guide clinical practice and improve postoperative rehabilitation outcomes for patients. Summary of the Invention

[0004] This invention addresses the technical problems existing in the prior art by providing an evidence-based rehabilitation training system, method, and storage medium.

[0005] According to a first aspect of the present invention, an evidence-based rehabilitation training system is provided, comprising a server, a patient, and a healthcare provider. The patient terminal is used to collect basic patient information; The server is configured with an evidence-based rehabilitation protocol library, which stores different evidence-based rehabilitation protocols; it is also used to match the corresponding evidence-based rehabilitation protocol in the evidence-based rehabilitation protocol library according to the patient's basic information, generate an evidence-based rehabilitation training task, and send the evidence-based rehabilitation training task to the patient. The patient terminal is also used to collect patient rehabilitation change sample data, patient rehabilitation recovery effect sample data, and patient training feedback sample data after the patient has carried out evidence-based rehabilitation training according to the evidence-based rehabilitation training task, generate a rehabilitation status report, and send the rehabilitation status report to the medical staff terminal. The medical staff terminal is used to evaluate the evidence-based rehabilitation plan based on the rehabilitation status report and make individualized adjustments.

[0006] Based on the above technical solution, the present invention can also be improved as follows.

[0007] Optionally, the evidence-based rehabilitation program library stores a hierarchical structure of evidence-based rehabilitation programs based on evidence-based medicine, including rehabilitation programs after small and medium-sized rotator cuff repair surgery and rehabilitation programs after giant rotator cuff repair surgery. Each evidence-based rehabilitation program entry includes: applicable conditions, training movements, training frequency, precautions, and expected goals.

[0008] Optionally, the evidence-based rehabilitation protocol library stores a hierarchical structure of evidence-based rehabilitation protocols based on evidence-based medicine, which is obtained through the following method: Patients who underwent arthroscopic rotator cuff repair were randomly divided into an experimental group and a control group. All patients underwent preoperative baseline assessment, including shoulder joint function score, pain score, range of motion measurement and quality of life questionnaire. Propose clinical evidence-based questions based on the PIPOST question development tool; Relevant literature was retrieved using the 6S Evidence Resource Pyramid Model system, and examination indicators were determined in conjunction with the FAME model. Develop an evidence-based rehabilitation training program, which includes a complete rehabilitation program after rotator cuff repair surgery. The rehabilitation program is divided into three phases: early protection phase, mid-term functional recovery phase, and late-term intensive phase. The rehabilitation program includes pain management, range of motion training, muscle strength training, functional training, and guidance on activities of daily living.

[0009] Optionally, after developing an evidence-based rehabilitation program, a utility analysis is performed on each program: The mean differences in VAS and activity improvement of each evidence-based rehabilitation program were statistically analyzed, and the improvement curves of rehabilitation indicators over time for each evidence-based rehabilitation program were also analyzed. If the mean difference is ≥30% and the patient’s VAS score improves by <1 point after 4 weeks, then the evidence-based rehabilitation program has failure indicators. Optimize or eliminate evidence-based rehabilitation programs that have failed indicators.

[0010] Optionally, the patient's basic information includes age, gender, surgical method, and whether a brace is worn. Matching the corresponding evidence-based rehabilitation protocol from the evidence-based rehabilitation protocol database based on the patient's basic information includes: Based on the patient's surgical procedure, a corresponding evidence-based rehabilitation protocol is matched from the evidence-based rehabilitation protocol database. If it is a small to medium-sized rotator cuff repair surgery, a small to medium-sized evidence-based rehabilitation protocol is recommended; if it is a large rotator cuff repair surgery, a large evidence-based rehabilitation protocol is recommended. And built-in conditional screening logic: if the patient's age is >60 and it is a giant rotator cuff repair surgery and the surgery is <6 weeks post-surgery, then a delayed rehabilitation program is recommended; If the patient is under 50 years old and has undergone a small to medium-sized rotator cuff repair surgery and is more than 6 weeks post-surgery, a functional recovery program is recommended.

[0011] Optionally, sending the evidence-based rehabilitation training task to the patient also includes: We filmed health education videos on rehabilitation exercises after rotator cuff repair surgery and uploaded them to WeChat for online viewing via QR code.

[0012] Optionally, the patient rehabilitation change sample data includes the patient's postoperative days, VAS pain score, shoulder joint range of motion and self-care ability score; the patient rehabilitation recovery effect sample data includes the patient's Constant-Murley shoulder joint function score, the patient's UCLA shoulder joint range of motion score and the patient's SF-12 quality of life score; and the patient training feedback sample data includes the actions completed by the patient, frequency, number of times and satisfaction.

[0013] Optionally, the healthcare provider is used to evaluate the evidence-based rehabilitation program based on the rehabilitation status report and make individualized adjustments, including: Based on rehabilitation training videos and evidence-based rehabilitation reports during the patient's rehabilitation process, and taking into account different types of rotator cuff injuries, different age groups of patients, and different occupational / sports needs, we optimize and adjust personalized evidence-based rehabilitation training programs.

[0014] According to a second aspect of the present invention, an evidence-based rehabilitation training method is provided, comprising: Collect basic patient information; Based on the patient's basic information, the system matches the corresponding evidence-based rehabilitation protocol in the evidence-based rehabilitation protocol database, generates an evidence-based rehabilitation training task, and sends the evidence-based rehabilitation training task to the patient's end; wherein, the evidence-based rehabilitation protocol database stores different evidence-based rehabilitation protocols. After the patient completes evidence-based rehabilitation training according to the aforementioned evidence-based rehabilitation training tasks, sample data of patient rehabilitation changes, sample data of patient rehabilitation recovery effects, and sample data of patient training feedback are collected to generate a rehabilitation status report. Based on the rehabilitation status report, the evidence-based rehabilitation program is evaluated and individualized.

[0015] According to a third aspect of the present invention, an electronic device is provided, including a memory and a processor, the processor being configured to implement the steps of an evidence-based rehabilitation training method when executing a computer management program stored in the memory.

[0016] According to a fourth aspect of the present invention, a computer-readable storage medium is provided having a computer management class program stored thereon, which, when executed by a processor, implements the steps of an evidence-based rehabilitation training method.

[0017] This invention provides an evidence-based rehabilitation training system, method, and storage medium, aiming to construct an evidence-based rehabilitation training application system after arthroscopic rotator cuff repair surgery. Through an evidence-based rehabilitation program library, patient information collection, utility analysis, individualized matching, and full-cycle management, the system achieves the scientific nature, precision, and continuous optimization of rehabilitation programs. Attached Figure Description

[0018] Figure 1 This is a structural block diagram of an evidence-based rehabilitation system provided in one embodiment of the present invention; Figure 2 A flowchart illustrating an evidence-based rehabilitation method provided in one embodiment of the present invention; Figure 3 A schematic diagram of the hardware structure of a possible electronic device provided by the present invention; Figure 4 This is a schematic diagram of the hardware structure of a possible computer-readable storage medium provided by the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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, 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. In addition, the technical features of the various embodiments or individual embodiments provided by the present invention can be arbitrarily combined with each other to form feasible technical solutions. Such combinations are not constrained by the order of steps and / or structural composition patterns, but must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by the present invention.

[0020] Figure 1 An evidence-based rehabilitation training system is provided as an embodiment of the present invention. The system includes a server, a patient, and a medical staff.

[0021] The patient terminal is used to collect basic patient information; The server is configured with an evidence-based rehabilitation protocol library, which stores different evidence-based rehabilitation protocols; it is also used to match the corresponding evidence-based rehabilitation protocol in the evidence-based rehabilitation protocol library according to the patient's basic information, generate an evidence-based rehabilitation training task, and send the evidence-based rehabilitation training task to the patient. The patient terminal is also used to collect patient rehabilitation change sample data, patient rehabilitation recovery effect sample data, and patient training feedback sample data after the patient has carried out evidence-based rehabilitation training according to the evidence-based rehabilitation training task, generate a rehabilitation status report, and send the rehabilitation status report to the medical staff terminal. The medical staff terminal is used to evaluate the evidence-based rehabilitation plan based on the rehabilitation status report and make individualized adjustments.

[0022] Understandably, the patient-side primarily collects patient information, including basic patient information and rehabilitation training-related information after the patient begins rehabilitation training. The patient sample dataset collected through the patient-side includes basic patient information, patient rehabilitation change sample information, patient rehabilitation effect sample data, and patient training feedback sample data. Basic patient information includes age, gender, surgical method, and whether a brace is worn. Patient rehabilitation change sample data includes postoperative days, VAS pain score, shoulder joint range of motion, and self-care ability score. Patient recovery effect sample data includes the Constant-Murley shoulder function score, UCLA shoulder joint range of motion score, and SF-12 quality of life score, etc. Patient training feedback sample data includes the movements performed by the patient, frequency, number of repetitions, and satisfaction level.

[0023] Among them, a database of evidence-based rehabilitation training programs after arthroscopic rotator cuff repair is deployed on the server side. The database stores a hierarchical structure of evidence-based rehabilitation programs based on evidence-based medicine: including rehabilitation programs after small and medium-sized rotator cuff repair and rehabilitation programs after large rotator cuff repair. Each program entry includes: applicable conditions, training movements, training frequency, precautions and expected goals.

[0024] In some embodiments of the present invention, the evidence-based rehabilitation protocol library stores a hierarchical structure of evidence-based rehabilitation protocols based on evidence-based medicine, which is obtained in the following manner: Patients who underwent arthroscopic rotator cuff repair were randomly divided into an experimental group and a control group. All patients underwent preoperative baseline assessment, including shoulder joint function score, pain score, range of motion measurement and quality of life questionnaire. Propose clinical evidence-based questions based on the PIPOST question development tool; Relevant literature was retrieved using the 6S Evidence Resource Pyramid Model system, and examination indicators were determined in conjunction with the FAME model. Develop an evidence-based rehabilitation training program, which includes a complete rehabilitation program after rotator cuff repair surgery. The rehabilitation program is divided into three phases: early protection phase, mid-term functional recovery phase, and late-term intensive phase. The rehabilitation program includes pain management, range of motion training, muscle strength training, functional training, and guidance on activities of daily living.

[0025] Understandably, the various evidence-based rehabilitation training protocols in the evidence-based rehabilitation training protocol library can be developed based on experimental data from patient samples. Specifically, this includes the following steps and content: (1) Patient grouping and assessment: Patients who underwent arthroscopic rotator cuff repair were randomly assigned to an experimental group and a control group, with 46 patients in each group. All patients underwent preoperative baseline assessments, including shoulder function scoring, pain scoring, range of motion measurements, and a quality of life questionnaire. The assessments used internationally recognized shoulder function scoring scales (Constant-Murley score), visual analog scale (VAS), UCLA shoulder score, and the SF-12 quality of life questionnaire.

[0026] A multidisciplinary evidence-based practice team was established, comprising an expert panel and a practice panel. Clinical evidence-based questions were identified using the PIPOST question development tool. Relevant literature was retrieved according to the 6S evidence resource pyramid model. Review indicators were determined using the FAME model. Specific evidence-based rehabilitation training programs were developed. Preferably, the development of specific evidence-based rehabilitation programs includes: developing a complete rehabilitation program after rotator cuff repair surgery. This program is divided into three phases: an early protection phase (0-6 weeks), a mid-term functional recovery phase (7-12 weeks), and a late-term intensive phase (13-24 weeks). The rehabilitation program includes pain management, range of motion training, muscle strength training, functional training, and guidance on activities of daily living.

[0027] (2) Implementation of the rehabilitation program: Patients in the experimental group received evidence-based rehabilitation intervention, while patients in the control group received traditional rehabilitation treatment. During the rehabilitation program, professional rehabilitation therapists guided patients through training and made individualized adjustments based on their recovery progress. The early protective phase primarily involved mild passive movement and pain control; the intermediate functional recovery phase added active assisted movements and mild resistance training; and the late intensive phase included progressive muscle strengthening training and occupational / sports-specific training. Rehabilitation treatment was administered three times a week for 45-60 minutes each time, for 24 weeks.

[0028] (3) Monitoring of the rehabilitation process: During rehabilitation, patients are regularly assessed and monitored, including the degree of shoulder pain, range of motion, muscle strength recovery, and functional performance. Assessments are conducted at 2, 6, 12, and 24 weeks post-surgery. Patient compliance and potential complications, such as joint stiffness and re-tears, are also monitored. For patients with unsatisfactory recovery, the rehabilitation plan is adjusted promptly.

[0029] (4) Evaluation of rehabilitation effect: After rehabilitation treatment (24 weeks post-surgery), a comprehensive assessment was conducted on both groups of patients, comparing differences between the experimental and control groups in shoulder joint function scores, pain scores, range of motion, muscle strength recovery, and quality of life. Follow-up assessments were also performed at 6 and 12 months post-surgery to evaluate long-term rehabilitation outcomes and return to work / sports.

[0030] (5) Data analysis and solution optimization: All assessment data were collected and analyzed using SPSS 25.0 statistical software. Statistical methods such as t-tests and chi-square tests were employed to compare the differences in rehabilitation outcomes between the two groups of patients. Based on the data analysis results, the effectiveness and safety of the evidence-based rehabilitation program were summarized, and the program was optimized and improved. The optimized rehabilitation program can be individually tailored to different types of rotator cuff injuries (small, medium, large, and giant tears), different age groups, and different occupational / sports needs.

[0031] Multiple evidence-based rehabilitation training programs were developed for different patients through rehabilitation experiments. Utility analysis was performed on each program, specifically analyzing the mean differences in VAS and activity level improvement for each program, and the improvement curves of rehabilitation indicators over time. If the mean difference was ≥30% and the patient's VAS improvement was <1 point after 4 weeks, the program was considered to have a failure indicator; programs with failure indicators were then optimized or eliminated.

[0032] In some embodiments of the present invention, matching a corresponding evidence-based rehabilitation protocol from the evidence-based rehabilitation protocol database based on the patient's basic information includes: Based on the patient's surgical procedure, a corresponding evidence-based rehabilitation program is matched from the evidence-based rehabilitation program database. If it is a small to medium-sized rotator cuff repair surgery, a small to medium-sized evidence-based rehabilitation training program is recommended; if it is a large rotator cuff repair surgery, a large rotator cuff evidence-based rehabilitation training program is recommended.

[0033] Furthermore, when recommending small-to-medium-sized evidence-based rehabilitation training programs and large-scale evidence-based rehabilitation training programs, a conditional screening logic is also built-in: if the patient's age is >60 and has undergone large-scale rotator cuff repair surgery and is less than 6 weeks post-surgery, a delayed rehabilitation program is recommended; if the patient's age is <50 and has undergone small-to-medium-sized rotator cuff repair surgery and is more than 6 weeks post-surgery, a functional recovery program is recommended.

[0034] After the server matches the corresponding evidence-based rehabilitation protocol in the evidence-based rehabilitation protocol library, it generates an evidence-based rehabilitation training task and sends it to the patient. Additionally, it uploads a health education video on rehabilitation exercises after rotator cuff repair surgery to WeChat, allowing patients to scan a QR code to watch the video online and refer to it for rehabilitation training.

[0035] During the patient's rehabilitation training, a full-cycle rehabilitation program is implemented based on evidence-based rehabilitation plans. Preliminary rehabilitation characteristics of the user are obtained based on the rehabilitation status at different stages, and rehabilitation status assessment results are generated based on these characteristics. In practice, this invention produces health education videos on rehabilitation exercises after rotator cuff repair surgery, which are then made available for online viewing via WeChat QR code. Patients and medical staff can track their progress in real time through a WeChat mini-program, effectively assessing the user's rehabilitation status at different stages. This achieves efficient, accurate, and intelligent full-cycle management of rehabilitation training for patients after arthroscopic rotator cuff repair surgery.

[0036] After patients complete rehabilitation training according to evidence-based rehabilitation training tasks, they fill out a pre-designed rehabilitation exercise assessment form and execution form to collect patient rehabilitation change sample information, patient rehabilitation effect sample data, and patient training feedback sample data. The user rehabilitation data change sample records changes in postoperative days, VAS pain score, shoulder joint range of motion, and self-care ability score during the rehabilitation program, directly reflecting the degree of improvement in shoulder joint function. The user rehabilitation recovery effect sample (including shoulder joint function, shoulder joint range of motion, quality of life, etc.) is used to assess the patient's overall rehabilitation recovery effect, including symptom improvement, quality of life improvement, and whether the expected rehabilitation goals have been achieved. This invention specifically obtains the above data through questionnaires, doctor assessments, and patient self-assessments. The user training feedback sample (including training movements, training frequency, number of training sessions, and satisfaction, etc.) includes the patient's acceptance of the rehabilitation program, feelings during training, difficulties encountered, and suggestions, which are important indicators for assessing the acceptance and satisfaction of the rehabilitation program. In specific implementation, this invention has developed a rehabilitation exercise assessment form and execution form for collecting training feedback sample data.

[0037] As mentioned above, the experiment was conducted on patients. This embodiment included 92 patients, including 46 patients in the traditional rehabilitation training group and 46 patients in the evidence-based rehabilitation training group. Based on this, a comparative study on the effects of rehabilitation training was carried out.

[0038] Baseline data of patients undergoing arthroscopic rotator cuff repair are shown in Table 1. Table 1. Baseline data of patients undergoing arthroscopic rotator cuff repair

[0039] Note: *Medium is defined as a rotator cuff tear of 1-3cm, and giant is defined as a rotator cuff tear of >5cm or involving ≥2 tendons. #Welch's test and △Fisher exact test were used.

[0040] There were no statistically significant differences in gender, age, rotator cuff location, and tear severity between the two groups (P>0.05), indicating they were comparable.

[0041] Table 2 Comparison of VAS scores between the traditional group and the evidence-based rehabilitation group

[0042] Table 3 Comparison of self-care ability scores between the traditional group and the evidence-based rehabilitation training group

[0043] Table 4 Comparison of UCLA scores between the traditional group and the evidence-based rehabilitation training group

[0044] Table 5. Comparison of SF-12 scores between the traditional group and the evidence-based rehabilitation training group.

[0045] At 6, 12, and 16 weeks post-surgery, the observation group after evidence application showed statistically significant differences in pain VAS scores, self-care ability, shoulder joint UCLA scores, and quality of life SF-12 scores compared to the traditional rehabilitation training group before evidence application (all P < 0.001).

[0046] Based on the data obtained after the patient's rehabilitation training, a rehabilitation status report is generated, which is then sent from the patient's end to the healthcare provider. On the healthcare provider's end, doctors can use the rehabilitation status report generated after the patient's rehabilitation training, along with the patient's rehabilitation exercises, to develop individualized rehabilitation training programs tailored to different types of rotator cuff injuries (small, medium, large, and giant tears), different age groups, and different occupational / sports needs. These multiple rehabilitation training programs form the basis for subsequent analysis, optimization, and matching.

[0047] See Figure 2This invention provides an evidence-based rehabilitation training method according to one embodiment, the method comprising the following steps: Step 1: Collect basic patient information.

[0048] Understandably, basic patient information includes age, gender, surgical procedure, and whether a brace is worn.

[0049] Step 2: Based on the patient's basic information, match the corresponding evidence-based rehabilitation protocol in the evidence-based rehabilitation protocol library, generate an evidence-based rehabilitation training task, and send the evidence-based rehabilitation training task to the patient's end; wherein, the evidence-based rehabilitation protocol library stores different evidence-based rehabilitation protocols.

[0050] Understandably, the evidence-based rehabilitation protocol library stores a hierarchical structure of evidence-based rehabilitation protocols, obtained through the following methods: Patients who underwent arthroscopic rotator cuff repair were randomly divided into an experimental group and a control group. All patients underwent preoperative baseline assessment, including shoulder joint function score, pain score, range of motion measurement and quality of life questionnaire. Propose clinical evidence-based questions based on the PIPOST question development tool; Relevant literature was retrieved using the 6S Evidence Resource Pyramid Model system, and examination indicators were determined in conjunction with the FAME model. Develop an evidence-based rehabilitation training program, which includes a complete rehabilitation program after rotator cuff repair surgery. The rehabilitation program is divided into three phases: early protection phase, mid-term functional recovery phase, and late-term intensive phase. The rehabilitation program includes pain management, range of motion training, muscle strength training, functional training, and guidance on activities of daily living.

[0051] After developing multiple evidence-based rehabilitation training programs, an efficacy analysis was conducted on each program. Specifically, the mean differences in VAS and activity improvement of each program were statistically analyzed, and the improvement curves of rehabilitation indicators over time were obtained for each program. If the mean difference is ≥30% and the patient's VAS score improves by <1 point after 4 weeks, then the evidence-based rehabilitation program has failure indicators; evidence-based rehabilitation programs with failure indicators should be optimized or eliminated.

[0052] Based on the patient's basic information, a suitable evidence-based rehabilitation training program is found from the evidence-based rehabilitation program database, and a rehabilitation training plan task is generated.

[0053] Step 3: After the patient has completed the evidence-based rehabilitation training according to the evidence-based rehabilitation training task, collect sample data on the patient's rehabilitation changes, sample data on the patient's rehabilitation recovery effect, and sample data on the patient's training feedback, and generate a rehabilitation status report.

[0054] Step 4: Based on the rehabilitation status report, evaluate the evidence-based rehabilitation program and make individualized adjustments.

[0055] Understandably, after patients undergo rehabilitation training, their training movements and evidence-based rehabilitation reports are collected. Based on different types of rotator cuff injuries, different age groups, and different occupational / sports needs, personalized evidence-based rehabilitation training programs are optimized and adjusted.

[0056] It is understood that the evidence-based rehabilitation training method provided by the present invention corresponds to the evidence-based rehabilitation training system provided in the foregoing embodiments. The relevant technical features of the evidence-based rehabilitation training method can be referred to the relevant technical features of the evidence-based rehabilitation training system, and will not be repeated here.

[0057] Please see Figure 3 , Figure 3 This is a schematic diagram illustrating an embodiment of the electronic device provided in this invention. For example... Figure 3 As shown, an embodiment of the present invention provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor 320. When the processor 320 executes the computer program 311, it implements the steps of an evidence-based rehabilitation training method.

[0058] Please see Figure 4 , Figure 4 This is a schematic diagram illustrating an embodiment of a computer-readable storage medium provided by the present invention. (See diagram below.) Figure 4 As shown, this embodiment provides a computer-readable storage medium 400 on which a computer program 411 is stored. When the computer program 411 is executed by a processor, it implements the steps of an evidence-based rehabilitation training method.

[0059] This invention provides an evidence-based rehabilitation training system, method, and storage medium, aiming to construct an evidence-based rehabilitation training application system after arthroscopic rotator cuff repair surgery. Through an evidence-based rehabilitation program library, patient information collection, utility analysis, individualized matching, and full-cycle management, the system achieves the scientific nature, precision, and continuous optimization of rehabilitation programs.

[0060] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0061] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0062] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0063] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0064] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0065] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0066] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. An evidence-based rehabilitation training system, characterized in that, This includes the server side, the patient side, and the medical staff side; The patient terminal is used to collect basic patient information; The server is configured with an evidence-based rehabilitation protocol library, which stores different evidence-based rehabilitation protocols. It is also used to match the corresponding evidence-based rehabilitation program in the evidence-based rehabilitation program library based on the patient's basic information, generate an evidence-based rehabilitation training task, and send the evidence-based rehabilitation training task to the patient's end. The patient terminal is also used to collect patient rehabilitation change sample data, patient rehabilitation recovery effect sample data, and patient training feedback sample data after the patient has carried out evidence-based rehabilitation training according to the evidence-based rehabilitation training task, generate a rehabilitation status report, and send the rehabilitation status report to the medical staff terminal. The medical staff terminal is used to evaluate the evidence-based rehabilitation plan based on the rehabilitation status report and make individualized adjustments.

2. The evidence-based rehabilitation training system according to claim 1, characterized in that, The evidence-based rehabilitation program library stores a hierarchical structure of evidence-based rehabilitation programs based on evidence-based medicine, including rehabilitation programs after small and medium-sized rotator cuff repair surgery and rehabilitation programs after giant rotator cuff repair surgery. Each evidence-based rehabilitation program entry includes: applicable conditions, training movements, training frequency, precautions, and expected goals.

3. The evidence-based rehabilitation training system according to claim 2, characterized in that, The evidence-based rehabilitation protocol library stores a hierarchical structure of evidence-based rehabilitation protocols based on evidence-based medicine, which is obtained through the following method: Patients who underwent arthroscopic rotator cuff repair were randomly divided into an experimental group and a control group. All patients underwent preoperative baseline assessment, including shoulder joint function score, pain score, range of motion measurement and quality of life questionnaire. Propose clinical evidence-based questions based on the PIPOST question development tool; Relevant literature was retrieved using the 6S Evidence Resource Pyramid Model system, and review indicators were determined in conjunction with the FAME model. Develop an evidence-based rehabilitation training program, which includes a complete rehabilitation program after rotator cuff repair surgery. The rehabilitation program is divided into three phases: early protection phase, mid-term functional recovery phase, and late-term intensive phase. The rehabilitation program includes pain management, range of motion training, muscle strength training, functional training, and guidance on activities of daily living.

4. The evidence-based rehabilitation training system according to claim 3, characterized in that, After developing evidence-based rehabilitation protocols, a utility analysis was conducted for each protocol: The mean differences in VAS and activity improvement of each evidence-based rehabilitation program were statistically analyzed, and the improvement curves of rehabilitation indicators over time for each evidence-based rehabilitation program were also analyzed. If the mean difference is ≥30% and the patient’s VAS score improves by <1 point after 4 weeks, then the evidence-based rehabilitation program has failure indicators. Optimize or eliminate evidence-based rehabilitation programs that have failed indicators.

5. The evidence-based rehabilitation training system according to claim 2, characterized in that, The patient's basic information includes age, gender, surgical procedure, and whether a brace is worn. Matching the corresponding evidence-based rehabilitation protocol from the evidence-based rehabilitation protocol database based on the patient's basic information includes: Based on the patient's surgical procedure, a corresponding evidence-based rehabilitation protocol is matched from the evidence-based rehabilitation protocol database. If it is a small to medium-sized rotator cuff repair surgery, a small to medium-sized evidence-based rehabilitation protocol is recommended; if it is a large rotator cuff repair surgery, a large evidence-based rehabilitation protocol is recommended. And built-in conditional screening logic: if the patient's age is >60 and it is a giant rotator cuff repair surgery and the surgery is <6 weeks post-surgery, then a delayed rehabilitation program is recommended; If the patient is under 50 years old and has undergone a small to medium-sized rotator cuff repair surgery and is more than 6 weeks post-surgery, a functional recovery program is recommended.

6. The evidence-based rehabilitation training system according to claim 1, characterized in that, Sending the evidence-based rehabilitation training task to the patient also includes: Film health education videos on rehabilitation exercises after rotator cuff repair surgery and upload them to WeChat for online viewing via QR code.

7. The evidence-based rehabilitation training system according to claim 1, characterized in that, The patient rehabilitation change sample data includes the number of days after surgery, VAS pain score, shoulder joint range of motion and self-care ability score; the patient rehabilitation recovery effect sample data includes the patient's Constant-Murley shoulder joint function score, UCLA shoulder joint range of motion score and SF-12 quality of life score; and the patient training feedback sample data includes the actions completed by the patient, frequency, number of times and satisfaction.

8. The evidence-based rehabilitation training system according to claim 7, characterized in that, The healthcare provider is used to evaluate the evidence-based rehabilitation plan based on the rehabilitation status report and make individualized adjustments, including: Based on rehabilitation training videos and evidence-based rehabilitation reports during the patient's rehabilitation process, and taking into account different types of rotator cuff injuries, different age groups of patients, and different occupational / sports needs, we optimize and adjust personalized evidence-based rehabilitation training programs.

9. An evidence-based rehabilitation training method, characterized in that, include: Collect basic patient information; Based on the patient's basic information, the system matches the corresponding evidence-based rehabilitation protocol in the evidence-based rehabilitation protocol database, generates an evidence-based rehabilitation training task, and sends the evidence-based rehabilitation training task to the patient's end; wherein, the evidence-based rehabilitation protocol database stores different evidence-based rehabilitation protocols. After the patient completes evidence-based rehabilitation training according to the aforementioned evidence-based rehabilitation training tasks, sample data of patient rehabilitation changes, sample data of patient rehabilitation recovery effects, and sample data of patient training feedback are collected to generate a rehabilitation status report. Based on the rehabilitation status report, the evidence-based rehabilitation program is evaluated and individualized.

10. A computer-readable storage medium, characterized in that, It stores a computer management program, which, when executed by a processor, implements the steps of the evidence-based rehabilitation training method as described in claim 9.

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