Orthopedic rehabilitation path planning method and system

Abstract

The invention relates to the technical field of rehabilitation paths, in particular to an orthopedic rehabilitation path planning method and system, and the method comprises the following steps: based on the activity record of a patient, according to the work and rest time of the patient, analyzing the daily activity mode of the patient, calculating the taking time of a plurality of medicines, setting the reminding time, and monitoring the taking behavior of the patient; evaluating the medicine taking compliance of the patient, and generating medicine taking management information of the patient. According to the method, the taking time of various medicines is accurately calculated, the medicine taking compliance and the treatment effect are improved, and the joint movement and activity capability information is collected in real time, so that the evaluation of the rehabilitation state is more real-time and accurate, the deviation in the rehabilitation process is quickly recognized, the rehabilitation path is adjusted in combination with the evaluation of different rehabilitation activity effects, and the rehabilitation effect is improved. The adaptability and efficiency of rehabilitation activities are improved, the rehabilitation time is analyzed and predicted by using a time sequence, the predictability of rehabilitation progress is provided, and patients and medical teams are helped to plan rehabilitation activities and life arrangement.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of rehabilitation path, in particular to a rehabilitation path planning method and system for orthopedics. BACKGROUND

[0002] The technical field of rehabilitation path includes various methods and techniques for improving the recovery process of patients, focusing on optimizing the rehabilitation efficiency of patients by planning and implementing various treatments and rehabilitation activities, ensuring that patients recover normal functions in a scientific and systematic way after injury, involving the joint cooperation of physical therapists, doctors, nurses and various related professionals to develop and implement personalized rehabilitation plans, combined with the application of rehabilitation equipment and the monitoring of patient status, aiming to promote the rapid recovery of patients through precise and orderly rehabilitation steps.

[0003] Among them, the rehabilitation path planning method for orthopedics involves systematic planning and management of the rehabilitation process of patients after orthopedic surgery or injury, including determining rehabilitation goals, planning rehabilitation stages, designing rehabilitation activities, adjusting rehabilitation plans, integrating the specific medical needs and rehabilitation goals of patients, using customized rehabilitation plans and schedules to ensure the appropriateness and timeliness of rehabilitation activities, including patient assessment, rehabilitation path design, implementation and monitoring, standardizing the rehabilitation process through structured paths and clear time nodes, and achieving effective planning and management of rehabilitation activities.

[0004] The traditional rehabilitation path planning method for orthopedics lacks sufficient flexibility and real-time response capability, can only be executed fixedly, and is difficult to adjust in real time according to the immediate feedback and changes of patients, and is generally insufficient in the comprehensive utilization of patient behavior patterns and daily activity data, resulting in the inability to optimize the medication time and rehabilitation activity arrangement according to the specific circumstances of individual patients, the inability to maximize the rehabilitation effect, the prolongation of the recovery period of patients, the increase of medical costs, and the lack of dynamic adjustment mechanism, making it difficult for the rehabilitation plan to respond quickly to sudden changes in patients during implementation, resulting in poor rehabilitation effect. SUMMARY

[0005] The purpose of the present application is to solve the shortcomings in the prior art and to provide a rehabilitation path planning method and system for orthopedics.

[0006] In order to achieve the above-mentioned purpose, the present application adopts the following technical scheme, a rehabilitation path planning method for orthopedics, comprising the following steps:

[0007] S1: Based on the patient activity record, according to the work and rest time of the patient, analyze the daily activity pattern of the patient, calculate the taking time of multiple drugs, set the reminding time and monitor the patient's medication behavior, evaluate the patient's medication compliance, and generate patient medication management information;

[0008] S2: According to the patient medication management information, real-time collection of the joint activity angle change and daily activity ability information of the patient, evaluation of the rehabilitation state of the patient, comparison with the preset rehabilitation target, identification of the progress deviation, and generation of the rehabilitation progress analysis result;

[0009] S3: According to the rehabilitation progress analysis result, analysis of the progress deviation, evaluation of the influence of various rehabilitation activities on the rehabilitation progress of the patient, adjustment of the rehabilitation path, including the frequency and intensity of various rehabilitation activities, generation of the rehabilitation activity adjustment record;

[0010] S4: According to the rehabilitation activity adjustment record, time series analysis of the rehabilitation progress of the patient, evaluation of the adjustment effect, and prediction of the rehabilitation time of the patient, generation of the rehabilitation time prediction information.

[0011] As a further scheme of the present application, the acquisition step of the taking time of the plurality of drugs is specifically:

[0012] S111: According to the patient activity record, monitoring and recording the work and rest time of the patient, identifying the daily activity mode of the patient, and generating the activity mode analysis result;

[0013] S112: Based on the activity mode analysis result, identifying the drug taking demand of the patient, and extracting the taking time demand of the plurality of drugs, including taking after meal and taking before sleep, and generating the taking demand information;

[0014] S113: According to the taking demand information, according to the formula:

[0015] ;

[0016] Calculate the taking time of the plurality of drugs;

[0017] Wherein, is the taking time of the drug, is the related daily activity time point, is the basic time offset based on the drug package instructions, is the bioavailability factor of the drug, is the health condition score of the patient, is the adjustment coefficient of the drug bioavailability, is the adjustment coefficient of the health condition of the patient.

[0018] As a further scheme of the present application, the acquisition step of the patient medication management information is specifically:

[0019] S121: According to the taking time of the plurality of drugs, setting a reminder schedule for the target orthopedic patient, including the taking time of the plurality of drugs, and generating a patient medication schedule;

[0020] S122: Based on the patient's medication schedule, monitor the patient's medication behavior in real time, record the actual time points of taking multiple drugs, and generate medication behavior monitoring information;

[0021] S123: Based on the medication behavior monitoring information, using the formula:

[0022] ;

[0023] Calculate the patient's medication adherence score to obtain patient medication management information;

[0024] To score medication adherence, To examine the total number of medication doses during the period, For the first The scheduled time for the next dose of medication. For the first The actual time of medication administration. This is the time deviation penalty coefficient. An index for medication use behavior.

[0025] As a further aspect of the present invention, the step of obtaining the patient's recovery status specifically includes:

[0026] S211: Based on the patient medication management information, collect the patient's joint movement angle data in real time, including the flexion of the knee and elbow joints, and generate joint status information;

[0027] S212: Based on the joint status information, collect the patient's daily activity ability data, including walking speed, daily steps, and autonomous indicators of daily activities, and generate activity ability assessment data;

[0028] S213: Based on the aforementioned activity capability assessment data, using the formula:

[0029] ;

[0030] Calculate the patient's recovery progress and assess the patient's recovery status;

[0031] in, As a recovery progress index, For the first The joint range of motion data measured this time. For the first Daily activity capacity data from this measurement These are the weighting coefficients for joint movement data. The weighting coefficients for daily activity ability data. The ideal target value for joint mobility, The ideal target value for daily activity ability, is the total number of data collection.

[0032] As a further scheme of the present application, the step of obtaining the rehabilitation progress analysis result is specifically:

[0033] S221: According to the rehabilitation state of the patient, the preset rehabilitation target of the target time point is extracted, including the joint activity angle and the target value of the daily activity ability of the multiple treatment stages, and the target state information is generated;

[0034] S222: According to the target state information, the formula:

[0035] ;

[0036] The progress deviation value is calculated;

[0037] Wherein, is the total deviation value of the rehabilitation progress, is an index variable, is the total number of rehabilitation target indicators, is the weight coefficient of the first indicator, is the actual observation value of the first measurement, is the preset target value of the first indicator, is the standard deviation of the first indicator;

[0038] S223: According to the progress deviation value, the current rehabilitation efficiency is evaluated by analyzing the trend and severity of the deviation, and the rehabilitation progress analysis result is generated.

[0039] As a further scheme of the present application, the step of obtaining the rehabilitation activity adjustment record is specifically:

[0040] S311: According to the rehabilitation progress analysis result, the progress deviation data and the multiple rehabilitation activity data of the target patient are extracted, including the intensity and frequency of multiple rehabilitation activities, and the patient activity data is generated;

[0041] S312: Based on the patient activity data, the formula:

[0042] ;

[0043] The influence of multiple rehabilitation activities on the rehabilitation progress of the patient is calculated, and the influence degree analysis result is obtained;

[0044] Wherein, is the correlation between the target rehabilitation activity intensity and the rehabilitation progress indicator, is the first The intensity or frequency of rehabilitation activities observed in each instance. For the first The rehabilitation progress indicators observed in this study This represents the average intensity of rehabilitation activities. This represents the average value of the rehabilitation progress indicators. For index variables;

[0045] S313: Based on the results of the influence analysis, the rehabilitation pathway is adjusted according to the impact of various rehabilitation activities on the patient's rehabilitation progress, including the frequency and intensity of various activities, and a rehabilitation activity adjustment record is generated.

[0046] As a further aspect of the present invention, the step of obtaining the recovery time prediction information specifically includes:

[0047] S411: Based on the rehabilitation activity adjustment record, monitor and record the patient's rehabilitation progress data after the rehabilitation pathway adjustment, and generate rehabilitation progress monitoring data;

[0048] S412: Based on the rehabilitation progress monitoring data, assess the impact of the target rehabilitation pathway adjustment on the patient's recovery speed and efficiency, analyze the effect of the pathway adjustment, and generate an adjustment effect evaluation result;

[0049] S413: Based on the evaluation results of the adjustment effect, using the formula:

[0050] ;

[0051] Calculate predicted values ​​of recovery progress at multiple time points;

[0052] in, For at a certain point in time The predicted value of recovery progress, The coefficient of the autoregressive term. For time points The actual progress of rehabilitation The coefficient of the moving average term, For time points The prediction error For time points The prediction error To represent the number of historical data points used in the autoregressive model, For indexes in autoregressive models, To represent the number of error terms used in the moving average model, For the index in the moving average model, To represent the current point in time, To indicate from the current time point Count forward A historical point in time unit, To indicate from the current time point Count forward A historical point in time unit;

[0053] S414: Based on the predicted value of the rehabilitation progress, the patient's rehabilitation time point is predicted by performing trend analysis on the target data, and rehabilitation time prediction information is generated.

[0054] An orthopedic rehabilitation pathway planning system, the orthopedic rehabilitation pathway planning system being used to execute the above-described orthopedic rehabilitation pathway planning method, the system comprising:

[0055] The medication behavior management module analyzes patients' daily activity patterns based on their activity records, calculates the ideal time to take various medications, sets reminder times, monitors patients' medication behavior in real time, assesses patients' medication adherence, and generates patient medication management information.

[0056] The rehabilitation status assessment module, based on the patient's medication management information, assesses the patient's rehabilitation status by collecting data on the patient's joint range of motion and daily activity ability. By comparing the data with preset rehabilitation goals, it identifies deviations in rehabilitation progress and generates rehabilitation progress analysis results.

[0057] Based on the rehabilitation progress analysis results, the rehabilitation pathway adjustment module adjusts the rehabilitation pathway by evaluating the impact of various rehabilitation activities on the patient's recovery, including adjusting the frequency and intensity of rehabilitation activities and generating a rehabilitation activity adjustment record.

[0058] The adjustment effect analysis module monitors the adjusted rehabilitation effect in real time based on the rehabilitation activity adjustment records, calculates the rehabilitation time point of the target orthopedic patient, and generates rehabilitation time prediction information.

[0059] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0060] In this invention, medication adherence and therapeutic effects are improved by accurately calculating the administration time of various drugs. Real-time collection of joint activity and mobility information makes the assessment of rehabilitation status more real-time and accurate, quickly identifying deviations in the rehabilitation process. Combined with the assessment of the effects of different rehabilitation activities, the rehabilitation path is adjusted, improving the adaptability and efficiency of rehabilitation activities. Time series analysis is used to predict rehabilitation time, providing predictability of rehabilitation progress and helping patients and medical teams plan rehabilitation activities and life arrangements. Attached Figure Description

[0061] Figure 1 This is a schematic diagram of the workflow of the present invention;

[0062] Figure 2 This is a flowchart illustrating the calculation of the dosing time for various drugs according to the present invention;

[0063] Figure 3 This is a flowchart illustrating the process of obtaining patient medication management information according to the present invention.

[0064] Figure 4 This is a flowchart illustrating the process of assessing a patient's recovery status according to the present invention;

[0065] Figure 5 This is a flowchart illustrating the process of obtaining rehabilitation progress analysis results according to the present invention;

[0066] Figure 6 This is a flowchart illustrating the process of obtaining rehabilitation activity adjustment records according to the present invention;

[0067] Figure 7 This is a flowchart illustrating the process of obtaining recovery time prediction information according to the present invention. Detailed Implementation

[0068] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0069] In the description of this invention, it should be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships, are based on the orientation or positional relationships shown in the accompanying drawings and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, in the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0070] Please see Figure 1 This invention provides a technical solution, a method for planning orthopedic rehabilitation pathways, comprising the following steps:

[0071] S1: Based on patient activity records and according to the patient's work and rest schedule, analyze the patient's daily activity patterns, calculate the dosing time of various medications, set reminder times and monitor the patient's medication behavior, assess the patient's medication adherence, and generate patient medication management information;

[0072] S2: Based on the patient's medication management information, collect information on changes in the patient's joint range of motion and daily activity ability in real time, assess the patient's rehabilitation status, identify progress deviations by comparing with preset rehabilitation goals, and generate rehabilitation progress analysis results;

[0073] S3: Based on the rehabilitation progress analysis results, analyze the progress deviation, assess the impact of various rehabilitation activities on the patient's rehabilitation progress, adjust the rehabilitation pathway, including the frequency and intensity of various rehabilitation activities, and generate rehabilitation activity adjustment records;

[0074] S4: Based on the rehabilitation activity adjustment records, the adjustment effect is evaluated by performing time series analysis on the patient's rehabilitation progress, and the patient's rehabilitation time is predicted, generating rehabilitation time prediction information.

[0075] Patient medication management information includes drug type information, frequency of administration information, and compliance assessment results. Rehabilitation progress analysis results include joint activity data, activity ability score, and progress deviation index. Rehabilitation activity adjustment records specifically include activity type adjustment records, frequency adjustment results, and activity intensity adjustment results. Rehabilitation time prediction information includes the adjusted predicted rehabilitation time, rehabilitation speed analysis results, and adjustment effect analysis results.

[0076] Please see Figure 2 The specific steps for obtaining the dosage schedule for multiple medications are as follows:

[0077] S111: Based on patient activity records, monitor and record the patient's daily routine, identify the patient's daily activity patterns, and generate activity pattern analysis results;

[0078] In sub-step S111, data monitoring devices such as motion trackers and applications capture the patient's behavioral activities in real time, including walking, resting, and sleeping time. The target activity data is recorded and transmitted to the processing center. Through data analysis programs, the patient's activity patterns are identified based on the peaks and troughs of activity throughout the day, such as morning activity and afternoon rest. The process uses time series analysis to determine the periodic changes in activity patterns. Each identified activity pattern generates activity pattern analysis results, including the time point, duration, and physiological response data of each activity, such as heart rate and blood pressure. Each result is stored in the form of a database record for subsequent medical analysis and rehabilitation plan development.

[0079] S112: Based on the activity pattern analysis results, identify the patient's medication needs and extract the timing requirements for taking various medications, including after meals and before bedtime, to generate medication need information;

[0080] In sub-step S112, decision support tools are used to identify patients' medication needs. Based on the patient's peak activity time, drug absorption rate, and duration of drug effect, the optimal medication administration time is calculated. The calculation process considers drug bioavailability and interactions. The medication administration time requirement information for each drug will be recorded, including drug name, recommended administration time, and precautions before and after administration. The generated medication administration requirement information will provide medical staff with scientific medication management support to ensure the standardization and effectiveness of patients' drug treatment. The medication administration requirement information will be integrated into the patient's rehabilitation management to adjust and optimize the patient's overall rehabilitation plan.

[0081] S113: Based on the dosage requirement information, according to the formula:

[0082] ;

[0083] Calculate the timing of administration for multiple medications;

[0084] in, It refers to the timing of medication administration. These are the relevant daily activity times. It is based on the time offset of the drug packaging instructions. It is the bioavailability factor of drugs. It is a health status score for the patient, taking into account metabolic rate and liver and kidney function. It is an adjustment factor for drug bioavailability. It is an adjustment factor for the patient's health condition;

[0085] formula:

[0086] ;

[0087] Parameter meanings and acquisition methods:

[0088] : Indicates the time points of the patient's daily activities, including the patient's actual time after meals or bedtime;

[0089] : Based on the time offset recommended in the drug packaging instructions;

[0090] The bioavailability factor of a drug is obtained through clinical trial data.

[0091] The patient's health status score, including metabolic rate and liver and kidney function;

[0092] and : Adjustment coefficient for the corresponding parameter;

[0093] Calculation example:

[0094] The reference time for taking the target medication is set as the end of dinner. This indicates that the patient's actual dinner ended at 19:00. The time is set to 30 minutes, with a reference time offset of 1 hour. , , , Calculate the timing of administration of the target drug:

[0095] ;

[0096] ;

[0097] Convert to time representation:

[0098] ;

[0099] Calculation results This indicates that the patient should take the medication at 7:34 PM. The calculation process is used to optimize the patient's treatment effect and ensure the maximization of drug efficacy and safety.

[0100] Please see Figure 3 The specific steps for obtaining patient medication management information are as follows:

[0101] S121: Based on the dosing times of multiple medications, set reminder schedules for target orthopedic patients, including the dosing times of multiple medications, and generate a patient medication schedule;

[0102] In sub-step S121, a reminder schedule is designed and set for the target orthopedic patient. The schedule lists the specific time to take each medication, taking into account the patient's daily activities to ensure that the reminder times do not conflict with other important activities. The schedule includes the medication name, date of administration, specific time of administration, and reminder settings. The technologies used in the process include schedule management algorithms and user behavior prediction models. The target algorithms and models help optimize the accuracy and timeliness of medication reminders. The generated patient medication schedule is integrated into the patient's mobile health application in the form of a digital calendar, making it easy for the patient to view and adhere to, thereby improving medication compliance and treatment effectiveness.

[0103] S122: Based on the patient's medication schedule, monitor the patient's medication behavior in real time, record the actual time points of taking multiple drugs, and generate medication behavior monitoring information;

[0104] In sub-step S122, a smart pillbox is used to monitor the patient's medication behavior in real time. The smart pillbox records the time each time it is opened and compares it with the preset medication time to ensure the accuracy of all data. The real-time recorded data includes the type of medication, the difference between the planned and actual administration time, and the generated medication behavior monitoring information, including the medication administration on-time rate, missed medication, and timely medication. The target information is processed by a data analysis tool, which uses anomaly detection algorithms to identify any irregularities in the medication behavior. The generated monitoring information provides real-time feedback to medical staff to help them understand the patient's medication adherence and adjust the treatment plan or take necessary interventions in a timely manner.

[0105] S123: Based on medication behavior monitoring information, using the formula:

[0106] ;

[0107] Calculate the patient's medication adherence score to obtain patient medication management information;

[0108] To score medication adherence, To examine the total number of medication doses during the period, For the first The scheduled time for the next dose of medication. For the first The actual time of medication administration. This is the time deviation penalty coefficient. An index for medication use behavior;

[0109] formula:

[0110] ;

[0111] Parameter meanings and acquisition methods:

[0112] Medication adherence score, ranging from 0 to 1, where 1 indicates complete adherence. The score is calculated by measuring the difference between each medication time obtained from the real-time monitoring system and the preset medication time.

[0113] The total number of medications taken during the examination period is obtained by counting medication events recorded in the medical record system.

[0114] : No. The scheduled time for each dose can be obtained through the medication dosing schedule set by the doctor or pharmacist;

[0115] : No. The actual time of medication administration is recorded through the patient's smart pillbox or medication management APP.

[0116] The time bias penalty coefficient, determined based on drug sensitivity and clinical significance, is set to a fixed value, such as 0.1, to enhance the impact of time bias and ensure that the calculation reflects clinical significance.

[0117] Calculation example:

[0118] set up , The first dose was , The time difference is 5 minutes, and the second dose is... , The time difference is 3 minutes, and the third dose is... , The time difference is 4 minutes, and the 4th dose is... , The time difference is 2 minutes, and the 5th dose is... , The time difference is 6 minutes, and the 6th dose is... , The time difference is 5 minutes, and the 7th dose is... , The time difference is 3 minutes, and the 8th dose is... , The time difference is 2 minutes, and the 9th dose is... , The time difference is 4 minutes, and the 10th dose is... , The time difference is 3 minutes. Calculate the compliance score:

[0119] ;

[0120] ;

[0121] ;

[0122] The calculation results show that the patient's medication adherence score is 0.63, which reflects that the patient's consistency in medication time is not very high, and further education or intervention is needed to improve adherence. The calculation process is used to quantitatively analyze the consistency between the patient's medication behavior and the scheduled time.

[0123] Please see Figure 4 The specific steps for obtaining the patient's recovery status are as follows:

[0124] S211: Based on patient medication management information, collect patients' joint movement angle data in real time, including the flexion of the knee and elbow joints, and generate joint status information;

[0125] In substep S211, angle and accelerometer sensors are fixed to the patient's joints to record changes in joint angles under different activity states. The data is transmitted in real time to a central server via a wireless network. The data processing software on the server performs preliminary screening and noise removal on the collected angle data to ensure the accuracy and reliability of the data. The generated joint status information records the range of motion of each joint of the patient. The target information helps the medical team assess the patient's joint function recovery and provides data support for subsequent rehabilitation training.

[0126] S212: Based on joint status information, collect patients' daily activity ability data, including walking speed, daily steps, and autonomous indicators of daily activities, and generate activity ability assessment data;

[0127] In sub-step S212, walking speed monitoring devices and activity trackers are used to record the patient's daily walking speed and number of steps. Through daily activity monitoring, the patient's autonomy in completing daily tasks, such as dressing and climbing stairs, is assessed. Dynamic time warping algorithms and pattern recognition technology are used to analyze the patient's walking stability and range of motion. The generated activity ability assessment data provides quantitative indicators of daily activity ability, such as average walking speed, daily activity volume, and autonomous activity index. These target indicators provide medical experts with important basis for evaluating rehabilitation effects.

[0128] S213: Based on activity capacity assessment data, using the formula:

[0129] ;

[0130] Calculate the patient's recovery progress and assess the patient's recovery status;

[0131] in, As a recovery progress index, For the first The joint range of motion data measured this time. For the first Daily activity capacity data from this measurement These are the weighting coefficients for joint movement data. The weighting coefficients for daily activity ability data. The ideal target value for joint mobility, The ideal target value for daily activity ability, The total number of data collections represents the measurement frequency within the evaluation period;

[0132] formula:

[0133] ;

[0134] Parameter meanings and acquisition methods:

[0135] The recovery progress index reflects the overall effectiveness of the patient's recovery status.

[0136] : No. The joint range of motion data measured in this instance;

[0137] : No. Daily activity capacity data from this measurement;

[0138] Weighting coefficients for joint movement data;

[0139] Weighting coefficients for daily activity ability data;

[0140] Ideal target values ​​for joint mobility;

[0141] Ideal target values ​​for daily living activities;

[0142] Total number of data collections;

[0143] Calculation example:

[0144] set up , , step, ,

[0145] [60, 62, 63, 66, 68, 70] Calculate the recovery progress:

[0146] ;

[0147] ;

[0148] calculate :

[0149] ;

[0150] Calculation results It reflects the patient's overall rehabilitation efficiency relative to the target state during the rehabilitation period. The value is relatively low. The quantitative index helps the medical team to more accurately monitor the patient's rehabilitation progress and adjust the treatment plan based on data feedback to achieve the best rehabilitation results.

[0151] Please see Figure 5 The specific steps for obtaining the rehabilitation progress analysis results are as follows:

[0152] S221: Based on the patient's rehabilitation status, extract the preset rehabilitation goals at the target time point, including the target values ​​of joint range of motion and daily activity ability for multiple treatment stages, and generate target status information;

[0153] In sub-step S221, specific target values ​​for joint range of motion and daily living abilities are set for each treatment stage. The parameters used include target values ​​for angle and range of motion. The target data are customized according to the patient's specific injury and rehabilitation needs. The rehabilitation expert team determines the target values ​​using a multi-parameter decision model based on historical data and the patient's rehabilitation response. The generated target status information lists the specific expected results that the patient should achieve at each stage of the rehabilitation process. The target information is crucial for guiding subsequent treatment activities and adjusting the rehabilitation plan, providing a clear framework for rehabilitation goals for the treatment team and the patient to work together to achieve.

[0154] S222: Based on the target state information, using the formula:

[0155] ;

[0156] Calculate the schedule deviation;

[0157] in, This represents the total deviation value of the recovery progress. For index variables, The total number of rehabilitation target indicators, For the first The weighting coefficient of each indicator For the first The actual observed value of this measurement, For the first The preset target value of the indicator, For the first Standard deviation of the indicator;

[0158] formula:

[0159] ;

[0160] Parameter meanings and acquisition methods:

[0161] The total deviation value of rehabilitation progress represents the overall difference between the rehabilitation status and the target.

[0162] : No. The weighting coefficients of each indicator are determined through the assessment of the medical team and adjusted according to the importance of different rehabilitation goals;

[0163] Actual observations were obtained through regular testing during the recovery period;

[0164] : Preset target values, set according to the patient's rehabilitation plan and medical advice;

[0165] Standard deviation represents the typical range of fluctuation for each rehabilitation goal;

[0166] The number of rehabilitation indicators;

[0167] Calculation example:

[0168] set up , , , , Calculate the deviation value:

[0169] ;

[0170] ;

[0171] ;

[0172] ;

[0173] calculate :

[0174] ;

[0175] Calculation results It provides a quantitative assessment that reflects the difference between a patient's current recovery status and the preset goals; the smaller the value, the closer the patient's recovery status is to the goal. The calculation process is used to manage the recovery process of target orthopedic patients and help the medical team make treatment decisions.

[0176] S223: Based on the progress deviation value, assess the current rehabilitation efficiency by analyzing the trend and severity of the deviation, and generate rehabilitation progress analysis results;

[0177] In sub-step S223, trend analysis tools and deviation analysis models are used to analyze the obtained progress deviation values. The target tool uses algorithms including time series analysis and analysis of variance to analyze the development trend and severity of the deviation. The input data includes the comparison results between the actual and target states, as well as the change data within the time span, to assess the current rehabilitation efficiency and determine whether the rehabilitation progress meets the predetermined rehabilitation roadmap. The generated rehabilitation progress analysis results include an assessment of rehabilitation efficiency, such as specific areas where progress is slow or ahead of schedule. The target assessment results are crucial for adjusting rehabilitation activities and optimizing the rehabilitation pathway plan, providing data-driven decision support and helping to improve the overall efficiency and effectiveness of the rehabilitation plan.

[0178] Please see Figure 6 The specific steps for obtaining rehabilitation activity adjustment records are as follows:

[0179] S311: Based on the rehabilitation progress analysis results, extract progress deviation data and various rehabilitation activity data of the target patient, including the intensity and frequency of various rehabilitation activities, and generate patient activity data;

[0180] In sub-step S311, patient progress deviation data is extracted, including the difference between the actual rehabilitation status and the predetermined goal. Parameter types include deviation angle, deviation time, and activity ability index. Next, data on various rehabilitation activities participated in by the patient are extracted, involving the intensity and frequency of rehabilitation activities, such as the number of physical therapy sessions, the duration of each therapy session, and the intensity level of each therapy session. The data is recorded and summarized in real time through rehabilitation activity tracking software. Using data mining techniques, such as cluster analysis and association rule mining, comprehensive patient activity data is accurately generated. The target data is crucial for understanding the patient's rehabilitation behavior patterns and the causes of progress deviations, providing data support for subsequent adjustments to the rehabilitation plan.

[0181] S312: Based on patient activity data, using the formula:

[0182] ;

[0183] The impact of various rehabilitation activities on the patient's rehabilitation progress was calculated, and the results of the impact degree analysis were obtained.

[0184] in, To investigate the correlation between the intensity of targeted rehabilitation activities and rehabilitation progress indicators, For the first The intensity or frequency of rehabilitation activities observed in each instance. For the first The rehabilitation progress indicators observed in this study This represents the average intensity of rehabilitation activities. This represents the average value of the rehabilitation progress indicators. For index variables;

[0185] formula:

[0186] ;

[0187] Parameter meanings and acquisition methods:

[0188] : No. The intensity of a specific physical therapy activity observed in each instance is obtained through real-time measurement data during the rehabilitation period;

[0189] Corresponding to The rehabilitation progress indicators are obtained through real-time measurement data during the rehabilitation period;

[0190] : The average value, through all The arithmetic mean of the values ​​is obtained;

[0191] : The average value, through all The arithmetic mean of the values ​​is obtained;

[0192] Calculation example:

[0193] Set the intensity of the target rehabilitation activities to be considered. =[10,11,14,13,15], corresponding to the rehabilitation progress indicators. =[30,35,38,42,46], , Calculate the correlation coefficient:

[0194] ;

[0195] ;

[0196] ;

[0197] ;

[0198] The calculation result of 0.905 indicates a positive correlation between the intensity of the target rehabilitation activities and the rehabilitation progress indicators. The calculation process is used to assess the correlation between various rehabilitation activities and rehabilitation indicators, providing a data basis for adjusting the rehabilitation pathway.

[0199] S313: Based on the impact analysis results, adjust the rehabilitation pathway according to the impact of various rehabilitation activities on the patient's rehabilitation progress, including the frequency and intensity of various activities, and generate a rehabilitation activity adjustment record;

[0200] In sub-step S313, the specific impact of each rehabilitation activity on the patient's rehabilitation progress is assessed, including the degree to which each activity improves rehabilitation efficiency and its specific contribution to rehabilitation progress. The parameters used include the type, frequency, and intensity of the activity, and the comparison data of the effects before and after the adjustment. Optimization algorithms, such as linear programming and dynamic adjustment strategies, are used to adjust the rehabilitation pathway in real time to optimize rehabilitation effects. This includes adjusting the frequency and intensity of rehabilitation activities, such as increasing or decreasing the number of certain target activities and increasing or decreasing the intensity of activities. A rehabilitation activity adjustment record containing all updates and adjustments is generated. The record provides the rehabilitation team with an important basis for implementing and monitoring the rehabilitation plan, ensuring that the patient can achieve the predetermined rehabilitation goals within the optimal time.

[0201] Please see Figure 7 The specific steps for obtaining recovery time prediction information are as follows:

[0202] S411: Based on rehabilitation activity adjustment records, monitor and record the patient's rehabilitation progress data after the rehabilitation pathway is adjusted, and generate rehabilitation progress monitoring data;

[0203] In sub-step S411, the patient's daily rehabilitation exercise completion rate, joint range of motion during rehabilitation exercises, and patient-reported pain levels are collected. Data collection is achieved through sensor technology, with joint angles recorded in real time by wearable devices and pain levels input through the patient's interactive interface. Time series analysis technology is used to process the collected data to identify key changes in the rehabilitation progress. Target changes indicate acceleration or deceleration of the rehabilitation progress, generating rehabilitation progress monitoring data. The target data records every activity and somatosensory feedback of the patient during the rehabilitation process, providing real-time and accurate reference for adjusting the rehabilitation pathway.

[0204] S412: Based on rehabilitation progress monitoring data, assess the impact of adjustments to the target rehabilitation pathway on the patient's recovery speed and efficiency, analyze the effectiveness of the pathway adjustments, and generate adjustment effectiveness assessment results;

[0205] In substep S412, the patient's recovery speed before and after adjustment is compared, such as the speed of improvement in joint range of motion and the speed of pain reduction. Statistical analysis software is used to quantify the actual effect of the path adjustment through regression analysis and analysis of variance. The evaluation criteria include the percentage increase in recovery speed and the amount of improvement in rehabilitation efficiency. Through the analysis of the target data, the adjustment effect evaluation results are generated. The target results provide the medical team with a direct basis for whether further adjustments to the rehabilitation plan are needed, ensuring that the patient can recover in the best way.

[0206] S413: Based on the evaluation results of the adjustment effect, use the formula:

[0207] ;

[0208] Calculate predicted values ​​of recovery progress at multiple time points;

[0209] in, For at a certain point in time The predicted value of recovery progress, The coefficient of the autoregressive term. For time points The actual progress of rehabilitation The coefficient of the moving average term, For time points The prediction error For time points The prediction error To represent the number of historical data points used in the autoregressive model, For indexes in autoregressive models, To represent the number of error terms used in the moving average model, For the index in the moving average model, To represent the current point in time, To indicate from the current time point Count forward A historical point in time unit, To indicate from the current time point Count forward A historical point in time unit;

[0210] formula:

[0211] ;

[0212] Parameter meanings and acquisition methods:

[0213] At a certain point in time The predicted value of recovery progress;

[0214] Autoregressive parameters, representing time points. The progress of rehabilitation at the current point in time The impact;

[0215] Moving average parameter, representing a point in time. The impact of the error term on the current error;

[0216] In time The prediction error represents the portion of random variation that the model fails to explain;

[0217] and These are the orders of autoregression and moving average, respectively. Choose appropriate values ​​based on the autocorrelation and partial autocorrelation charts of the data.

[0218] Calculation example:

[0219] set up , , , , , , Calculate the projected schedule:

[0220] ;

[0221] ;

[0222] ;

[0223] The calculation results show that the predicted recovery progress of patients at the target time point is 23.43%. The results reflect the patients' possible future recovery status and can be used to help the medical team develop or adjust the rehabilitation plan to achieve higher rehabilitation efficiency.

[0224] S414: Based on the predicted value of rehabilitation progress, the rehabilitation time point of the patient is predicted by performing trend analysis on the target data, and rehabilitation time prediction information is generated.

[0225] In sub-step S414, rehabilitation data is analyzed using time series analysis and trend analysis techniques. The impact of the frequency, intensity, and changes in the patient's rehabilitation activities on the total rehabilitation time is considered. Parameters include smoothing parameters for time series data, trend estimation coefficients, and seasonal adjustment factors. Based on historical rehabilitation data models, future progress curves are predicted, identifying the time points when patients reach their predetermined rehabilitation goals. Using the results of the goal model analysis, rehabilitation time prediction information is generated, predicting the specific time when the patient's rehabilitation will be completed. This provides the medical team with a precise rehabilitation time management tool, helping to develop more scientific rehabilitation plans.

[0226] An orthopedic rehabilitation pathway planning system, used to execute the above-mentioned orthopedic rehabilitation pathway planning method, the system comprising:

[0227] The medication behavior management module analyzes patients' daily activity patterns based on their activity records, calculates the ideal time to take various medications, sets reminder times, monitors patients' medication behavior in real time, assesses patients' medication adherence, and generates patient medication management information.

[0228] The rehabilitation status assessment module is based on patient medication management information. By collecting data on the patient's joint range of motion and daily activity ability, it assesses the patient's rehabilitation status, identifies deviations in rehabilitation progress by comparing the data with preset rehabilitation goals, and generates rehabilitation progress analysis results.

[0229] The rehabilitation pathway adjustment module adjusts the rehabilitation pathway based on the rehabilitation progress analysis results by evaluating the impact of various rehabilitation activities on the patient's recovery. This includes adjusting the frequency and intensity of rehabilitation activities and generating a rehabilitation activity adjustment record.

[0230] The adjustment effect analysis module monitors the rehabilitation effect after adjustment in real time based on the rehabilitation activity adjustment record, calculates the rehabilitation time point of the target orthopedic patient, and generates rehabilitation time prediction information.

[0231] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments that can be applied to other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. An orthopedic rehabilitation pathway planning method, characterized by, The method comprises the following steps: S1: Based on the patient activity record, the daily activity pattern of the patient is analyzed according to the work-rest time of the patient, the taking time of multiple drugs is calculated, the reminding time is set and the patient's medication behavior is monitored, the patient's medication compliance is evaluated, and the patient's medication management information is generated; S2: According to the patient medication management information, the joint activity angle change and the daily activity ability information of the patient are collected in real time, the rehabilitation state of the patient is evaluated, the progress deviation is identified by comparing with the preset rehabilitation target, and the rehabilitation progress analysis result is generated; S3: According to the rehabilitation progress analysis result, the progress deviation is analyzed, the influence of multiple rehabilitation activities on the patient's rehabilitation progress is evaluated, the rehabilitation path is adjusted, including the frequency and intensity of multiple rehabilitation activities, and the rehabilitation activity adjustment record is generated; S4: According to the rehabilitation activity adjustment record, the adjustment effect is evaluated and the rehabilitation time of the patient is predicted by time series analysis on the rehabilitation progress of the patient, and the rehabilitation time prediction information is generated.

2. The orthopedic rehabilitation pathway planning method of claim 1, wherein, The taking time of the multiple drugs is obtained by the following steps: S111: According to the patient activity record, the work-rest time of the patient is monitored and recorded, the daily activity pattern of the patient is identified, and the activity pattern analysis result is generated; S112: Based on the activity pattern analysis result, the drug taking demand of the patient is identified, and the taking time demand of multiple drugs is extracted, including taking after meal and taking before sleep, and the taking demand information is generated; S113: According to the taking demand information, the taking time of multiple drugs is calculated according to the formula: ； The patient medication management information is obtained by the following steps: wherein, is the time of taking the medication, is the relevant time point of the daily activity, is a base time offset based on the medication package insert, is a bioavailability factor of the medication, is a health condition score of the patient, is an adjustment factor for the bioavailability of the medication, is an adjustment factor for the health condition of the patient.

3. The orthopedic rehabilitation pathway planning method of claim 2, wherein, S121: According to the taking time of the multiple drugs, the reminding time table of the target orthopedic patient is set, including the taking time of the multiple drugs, and the patient medication time table is generated; S122: According to the patient medication time table, the patient's medication behavior is monitored in real time, the actual taking time point of multiple drugs is recorded, and the medication behavior monitoring information is generated; S123: Based on the medication behavior monitoring information, the patient's medication compliance score is calculated by the formula: The rehabilitation state of the patient is obtained by the following steps: ； S211: Based on the patient medication management information, the joint activity angle data of the patient is collected in real time, including the bending degree of knee joint and elbow joint, and the joint state information is generated; a score for medication adherence, a total number of medication intakes within a cycle, a predetermined time for the a predetermined time for the a time for the a time for the a time deviation penalty coefficient, an index of medication behavior.

4. The orthopedic rehabilitation pathway planning method of claim 1, wherein, S212: Based on the joint state information, the daily activity ability data of the patient is collected, including walking speed, daily walking steps and daily activity autonomy index, and the activity ability evaluation data is generated; S213: Based on the activity ability evaluation data, the patient's rehabilitation progress is calculated by the formula: The rehabilitation state of the patient is evaluated; The rehabilitation progress analysis result is obtained by the following steps: ； S221: According to the rehabilitation state of the patient, the preset rehabilitation target of the target time point is extracted, including the target value of joint activity angle and daily activity ability in multiple treatment stages, and the target state information is generated; wherein, is a rehabilitation progress index, is joint range of motion data for a is joint range of motion data for a is activity of daily living data for a is activity of daily living data for a is a weight coefficient for joint range of motion data, is a weight coefficient for activity of daily living data, is an ideal target value for joint range of motion, is an ideal target value for activity of daily living, is a total number of data collection.

5. The orthopedic rehabilitation pathway planning method of claim 4, wherein, S222: According to the target state information, the progress deviation value is calculated by the formula: ​ ​ ； ​ wherein, is a total deviation value of rehabilitation progress, is an index variable, is a total number of rehabilitation target indicators, is a weight coefficient of the th indicator, is an actual observation value of the th measurement, is a preset target value of the th indicator, is a standard deviation of the th indicator; S223: According to the progress deviation value, the current rehabilitation efficiency is evaluated by analyzing the trend and severity of the deviation, and a rehabilitation progress analysis result is generated.

6. The orthopedic rehabilitation pathway planning method of claim 1, wherein, The acquisition step of the rehabilitation activity adjustment record is specifically: S311: According to the rehabilitation progress analysis result, progress deviation data and a plurality of rehabilitation activity data of the target patient are extracted, including the intensity and frequency of a plurality of rehabilitation activities, patient activity data is generated; S312: Based on the patient activity data, the influence of a plurality of rehabilitation activities on the patient's rehabilitation progress is calculated using the formula: ； to obtain an influence degree analysis result; wherein, is the correlation between the target rehabilitation activity intensity and the rehabilitation progress indicator, is the rehabilitation activity intensity or frequency for the first observation, is the rehabilitation activity intensity or frequency for the nth observation, is the rehabilitation progress indicator for the first observation, is the rehabilitation progress indicator for the nth observation, is the average rehabilitation activity intensity, is the average rehabilitation progress indicator, is the index variable; S313: Based on the influence degree analysis result, the rehabilitation path is adjusted according to the influence of a plurality of rehabilitation activities on the patient's rehabilitation progress, including the frequency and intensity of a plurality of activities, and a rehabilitation activity adjustment record is generated.

7. The orthopedic rehabilitation pathway planning method of claim 1, wherein, The acquisition step of the rehabilitation time prediction information is specifically: S411: Based on the rehabilitation activity adjustment record, the rehabilitation progress data of the patient after the rehabilitation path adjustment is monitored and recorded, and rehabilitation progress monitoring data is generated; S412: According to the rehabilitation progress monitoring data, the influence of the target rehabilitation path adjustment on the patient's recovery speed and efficiency is evaluated, the effect of the path adjustment is analyzed, and an adjustment effect evaluation result is generated; S413: According to the adjustment effect evaluation result, the predicted value of the rehabilitation progress at multiple time points is calculated using the formula: ； S414: Based on the predicted value of the rehabilitation progress, the rehabilitation time point of the patient is predicted by trend analysis on the target data, and rehabilitation time prediction information is generated. wherein is a predicted value of the rehabilitation progress at time point is an actual rehabilitation progress at time point is a coefficient of an autoregressive term, is an actual rehabilitation progress at time point is a coefficient of a moving average term, is a prediction error at time point is a prediction error at time point is a prediction error at time point is a prediction error at time point is a prediction error at time point is representative of the number of historical data points used in the autoregressive model, is an index in the autoregressive model, is representative of the number of error terms used in the moving average model, is an index in the moving average model, is representative of the current time point, is representative of a historical time point units of time ahead of the current time point is representative of a historical time point units of time ahead of the current time point is representative of a historical time point units of time ahead of the current time point The orthopedic rehabilitation path planning method according to any one of claims 1-7, the system comprises:

8. An orthopedic rehabilitation pathway planning system, characterized by, The medication behavior management module analyzes the patient's daily activity pattern based on the patient activity record, calculates the ideal taking time of a plurality of drugs, sets the reminding time, monitors the patient's medication behavior in real time, evaluates the patient's medication compliance, and generates patient medication management information; The rehabilitation state evaluation module evaluates the patient's rehabilitation state based on the patient medication management information by collecting the patient's joint activity angle and daily activity ability data, compares with the preset rehabilitation target, identifies the deviation value of the rehabilitation progress, and generates a rehabilitation progress analysis result; The rehabilitation path adjustment module adjusts the rehabilitation path based on the rehabilitation progress analysis result by evaluating the influence of a plurality of rehabilitation activities on the patient's recovery, including adjusting the frequency and intensity of rehabilitation activities, and generates a rehabilitation activity adjustment record; The adjustment effect analysis module monitors the adjusted rehabilitation effect in real time based on the rehabilitation activity adjustment record, calculates the rehabilitation time point of the target orthopedic patient, and generates rehabilitation time prediction information. ​

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