Orthopedic trauma diagnosis and treatment information processing method

Abstract

The invention discloses an orthopedic trauma diagnosis and treatment information processing method, and relates to the technical field of data analysis and processing, and the method comprises the following steps: building an electronic medical management system which comprises a management monitoring end, an outpatient service application end and a patient application end, and building an electronic medical record of a patient in the system, and the outpatient service application terminal generates a personalized doctor's advice. By integrating the data collection functions of the remote monitor and the patient application end, monitoring of physiological parameters of a patient is achieved, abnormal changes of heart rate and blood pressure key indexes are captured, and early warning information is generated based on abnormal execution evaluation indexes in combination with medicine use frequency and rehabilitation training duration data. The medical advice compliance of the patient is remarkably improved, the risk that the treatment effect is poor or complications occur due to the fact that the patient does not follow the medical advice is reduced, for the orthopedic trauma patient, disease deterioration can be effectively prevented through timely intervention, complications can be reduced, and the rehabilitation process is accelerated.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis and processing, and in particular to an orthopedic trauma diagnosis and treatment information processing method. Background Art

[0002] Orthopedic trauma, including fractures, dislocations, ligament injuries and soft tissue injuries, is often complicated to diagnose and treat. Fractures can be divided into closed fractures and open fractures. Different types of fractures require different treatment strategies. With the continuous advancement of medical imaging technology, such as the widespread application of CT, MRI and ultrasound diagnostic technology, doctors can see the fine structure of bones, joints and soft tissues more clearly, thereby diagnosing orthopedic trauma more accurately. This not only improves the accuracy of diagnosis, but also provides an important reference for subsequent treatment. In the case of limited medical resources, improving the efficiency and effectiveness of diagnosis and treatment is a common goal pursued by medical institutions and doctors.

[0003] In the process of orthopedic trauma diagnosis and treatment, the doctor's order is the treatment plan formulated by the doctor according to the patient's specific condition. If the patient fails to follow the doctor's order, the treatment effect is poor or complications occur, which can easily lead to a waste of medical resources. Therefore, how to guide and monitor the patient's execution of the doctor's order, maximize the effect of treatment, and strengthen doctor-patient communication is the problem we need to solve. To this end, a method for processing orthopedic trauma diagnosis and treatment information is proposed. Summary of the invention

[0004] The purpose of the present invention is to provide an orthopedic trauma diagnosis and treatment information processing method to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] A method for processing orthopedic trauma diagnosis and treatment information comprises the following steps:

[0007] Step 1: Establish an electronic medical management system, which includes a management and monitoring terminal, an outpatient application terminal, and a patient application terminal. The electronic medical record of the patient is created in the system, and the outpatient application terminal generates personalized medical advice and transmits it electronically to the patient application terminal.

[0008] Step 2: The patient application integrates monitoring and reminder functions, including monitoring of remaining medication and reminders of medication time, to guide patients to follow doctor's orders;

[0009] Step 3: Collect patient monitoring data through the remote monitor, record the patient's physiological parameters, and combine the frequency of drug use and the duration of rehabilitation training recorded by the patient on the patient application end to monitor whether the patient's data meets the expected execution of the doctor's orders;

[0010] Step 4: Extract features from patient monitoring data, drug use frequency, and rehabilitation training duration data, build an abnormal warning model, and analyze the abnormal execution evaluation index to analyze the patient's medical order execution;

[0011] Step 5: preset different warning levels according to the abnormal execution evaluation index, corresponding to different degrees of execution deviation, and divide the corresponding warning thresholds for the warning levels to determine whether the patient data meets the expected execution of the medical order;

[0012] Step 6: Based on the evaluation results of the warning level, a warning message is sent to the outpatient application, and intervention measures are formulated to guide patients to correctly implement medical advice.

[0013] A further improvement of the technical solution of the present invention is that in step 1, the process of creating an electronic medical record is:

[0014] Step 101, establish an electronic medical management system to guide and monitor the execution information of medical orders for orthopedic trauma diagnosis and treatment, and determine system modules, including a management and monitoring end, an outpatient application end, and a patient application end;

[0015] Step 102, based on the determined system modules, define user roles and permissions, where the management monitoring end is used for data collection, analysis, storage and management of the entire system, and provides an interface for doctors and administrators to view patient information, generate reports and conduct interventions; the outpatient application end is an application end used by doctors in outpatient clinics, which is used to quickly access patient information and medical orders, and integrates the electronic transmission function of medical orders; the patient application end is a mobile application used by patients to receive and view medical orders, integrates the remaining drug monitoring and medication time reminder functions, provides rehabilitation training guidance and recording functions, and receives reminders and warning information from the system;

[0016] Step 103, creating an electronic medical record for each patient in the system, recording key information, including basic personal information, medical history, allergy information, and medical records, so that doctors can review and update at any time;

[0017] Step 104: The outpatient doctor generates a medical order on the outpatient application end based on the patient's electronic medical record and the patient's condition, and transmits the generated medical order to the patient application end electronically through the electronic medical management system to ensure that the patient obtains treatment information in a timely manner. The medical order includes the drug name, dosage, usage, medication time, rehabilitation training plan, and follow-up period;

[0018] Step 105, the management and monitoring terminal automatically saves the electronic medical record and doctor's order data, and generates a unique medical record number.

[0019] A further improvement of the technical solution of the present invention is that in step 2, the process of guiding the patient to execute the doctor's order is:

[0020] Step 201, according to the drug name, dosage, usage, medication time, rehabilitation training plan, and follow-up period information contained in the doctor's order, the patient application terminal parses the received doctor's order and extracts information related to drug remaining amount monitoring and medication time reminder;

[0021] Step 202, in combination with the medication time information of the doctor's order, a schedule is set on the patient application end to regularly remind the patient to take the medication, guide the patient to ensure that the doctor's order is executed on time, use multiple reminder methods such as ringtones, vibrations, and notification bar messages to ensure that the patient can receive reminders at the preset time point, and set repeated reminders for medications that need to be taken on time and in the right amount to prevent the patient from forgetting;

[0022] Step 203: After taking the medicine, the patient updates the remaining amount of the medicine through the patient application end, clicks the "drug taken" button on the patient application end to confirm, and the system automatically calculates the remaining amount. When the remaining amount of the medicine is lower than the set threshold, a reminder notification is sent to prompt the patient to prepare to refill the medicine;

[0023] Step 204, based on the rehabilitation training plan recommended by the doctor in the medical order, a rehabilitation training plan reminder is sent to the patient application terminal, and the progress of the patient's rehabilitation training is recorded.

[0024] A further improvement of the technical solution of the present invention is that in step 3, the process of monitoring whether the patient's data meets the expected execution of the doctor's order is:

[0025] Step 301, using a remote monitor to collect the patient's physiological parameter data, including heart rate and blood pressure, the remote monitor is a smart watch, a health monitoring belt, and the physiological parameter data is transmitted to the patient's application terminal by wireless means;

[0026] Step 302, the management monitoring end periodically extracts physiological parameters, drug use frequency, and rehabilitation training duration data from the patient application end according to a preset cycle, and integrates them;

[0027] Step 303, compare and analyze the integrated data according to the preset medical order standards, which include target heart rate range, blood pressure control target, medication plan, and rehabilitation training requirements, so as to monitor the patient's medical order execution and the patient's rehabilitation progress, and analyze and determine whether the patient's physiological parameters are within the normal range, whether the frequency of drug use meets the medical order requirements, and whether the rehabilitation training is proceeding as planned.

[0028] A further improvement of the technical solution of the present invention is that in step 4, the process of obtaining the abnormal execution evaluation index is:

[0029] Step 401, collecting the patient's physiological parameters, drug use frequency and rehabilitation training duration data from the remote monitor and the patient application end, and pre-processing the data, including data cleaning and standardization, removing outliers and noise, and ensuring data quality;

[0030] Step 402, according to the doctor's order standard, key features are defined and related feature data are extracted, which are heart rate deviation, blood pressure deviation, drug compliance, and rehabilitation training completion. The physiological parameter deviation index is obtained by combining the heart rate deviation and blood pressure deviation. The drug use compliance index is obtained according to the planned medication dosage and the actual medication dosage. The rehabilitation training completion index is obtained according to the actual rehabilitation training completion and the planned rehabilitation training completion. The deviation of the patient's doctor's order execution and state recovery is independently analyzed;

[0031] Step 403, based on the extracted heart rate deviation, blood pressure deviation, drug compliance, and rehabilitation training completion data, an abnormal warning model is constructed, and according to the analysis results of the medical order standard and the abnormal warning model, an abnormal execution evaluation index is obtained to comprehensively evaluate the patient's medical order execution.

[0032] A further improvement of the technical solution of the present invention is that the calculation formula of the physiological parameter deviation index is:

[0033]

[0034]

[0035] Among them, PI is the physiological parameter deviation index, Va(HR) and Va(BP) are the heart rate variance and blood pressure variance, which respectively indicate the degree of fluctuation of heart rate and blood pressure, and M(HR tr ) and M(BP tr ) is the mean of target heart rate and target blood pressure, Limit(HR m , HR max , HR min ) is a limiting function used to ensure that the heart rate measurement is within the maximum HR max and minimum HR min In the normal range, HR m is the actual measured heart rate, BP m is the actual measured blood pressure, N is the number of measurements, is the heart rate measured at the ith time, is the blood pressure measured for the ith time, P is the number of target values, is the jth target measured heart rate, is the jth target measured blood pressure;

[0036] The calculation formula of the drug use compliance index is:

[0037]

[0038] Among them, MI is the medication compliance index, D s is the planned medication dose, D a is the actual dosage, Sum(|D s -D a |) is the sum of the difference between the planned and actual dosage, D Z is the total planned number of medication doses;

[0039] The calculation formula of the rehabilitation training completion index is:

[0040]

[0041] Among them, RI is the rehabilitation training completion index, R ms is the number of minutes of rehabilitation training actually completed, R mj is the planned number of minutes of rehabilitation training, R da is the actual number of rehabilitation training days, R ds is the number of days of planned rehabilitation training.

[0042] A further improvement of the technical solution of the present invention is that the calculation formula of the abnormal execution evaluation index is:

[0043]

[0044] Among them, A is the abnormal execution evaluation index, max(PI, MI, RI) means using the maximum value function to determine the main abnormal direction, and Va(A c ) is the variance of the physiological parameter deviation index, medication compliance index, and rehabilitation training completion index, indicating the degree of fluctuation among the physiological parameter deviation index, medication compliance index, and rehabilitation training completion index.

[0045] A further improvement of the technical solution of the present invention is that in step 5, the process of judging whether the patient data meets the expected execution of the doctor's order is as follows:

[0046] Step 501, according to the medical order standard and the abnormal execution evaluation index, different warning levels are preset, corresponding to different degrees of execution deviation, namely, the first warning level, the second warning level and the third warning level, wherein the degree of execution deviation increases step by step from the first level to the third level;

[0047] Step 502, dividing the corresponding warning thresholds into different warning levels;

[0048] Step 503, based on the preset warning level, analyze the different deviation degrees of the patient's medical order execution, and determine whether the patient data meets the expected medical order execution status based on the corresponding deviation degrees.

[0049] A further improvement of the technical solution of the present invention is that: the multiple warning levels correspond to multiple warning thresholds, wherein the warning thresholds include an upper threshold and a lower threshold;

[0050] The multiple warning levels and the multiple warning thresholds satisfy the following relationship:

[0051] First level warning level A≤A T1 , corresponding to a lower A value, the patient's overall execution of medical advice was good, with only slight deviations, and no immediate intervention was required, but continued observation was recommended;

[0052] Level 2 Warning Level A T1 <A≤A T2 , corresponding to a medium A value, the patient has a moderate deviation in the execution of medical instructions and may need the attention of doctors or nursing staff, and consider taking some intervention measures to improve the situation;

[0053] Level 3 warning level A>A T2 , corresponding to a higher A value, there is a high degree of deviation in the execution of the patient's medical instructions, and immediate intervention measures are needed to prevent the deterioration of the condition or the occurrence of adverse consequences;

[0054] Among them, A is the abnormal execution evaluation index, A T1 is the lower threshold corresponding to the second-level warning level and the upper threshold corresponding to the first-level warning level, A T2 It is the lower threshold corresponding to the third warning level and the upper threshold corresponding to the second warning level.

[0055] A further improvement of the technical solution of the present invention is that in step 6, the process of formulating intervention measures to guide patients to correctly execute the doctor's orders is as follows:

[0056] Step 601, obtaining a calculated value of an abnormal execution evaluation index based on the patient's physiological parameters, drug use, and rehabilitation training data, and comparing it with a preset warning threshold to determine a warning level of the patient's medical order execution;

[0057] Step 602, generating corresponding warning information according to the warning level, showing the patient's current doctor's order execution deviation status;

[0058] Step 603, the warning information is sent to the outpatient application terminal of the relevant doctor through the management monitoring terminal. After receiving the warning information, the doctor evaluates and manually reviews the patient's condition to re-confirm the accuracy of the evaluation result;

[0059] Step 604: The doctor performs treatment intervention during the patient's follow-up period according to the determined warning level and the actual situation of the patient, and notifies the patient and his / her family of the doctor's treatment intervention results through SMS and phone channels of the management monitoring terminal, and guides the patient and his / her family to execute the doctor's orders;

[0060] Step 605, the monitored execution status of the doctor's orders, warning information, and intervention measures are recorded in the patient's electronic medical record, and reports are generated regularly and pushed to the patient's application end to enhance the patient's awareness of the importance of the doctor's orders.

[0061] Due to the adoption of the above technical solution, the present invention has the following technical advances compared with the prior art:

[0062] 1. The present invention provides an orthopedic trauma diagnosis and treatment information processing method, which realizes the monitoring of the patient's physiological parameters by integrating the data collection function of the remote monitor and the patient application end, captures the abnormal changes of the key indicators of heart rate and blood pressure, and combines the frequency of drug use and the duration of rehabilitation training data to generate early warning information based on the abnormal execution evaluation index, which significantly improves the patient's compliance with the doctor's order and reduces the risk of poor treatment effect or complications caused by non-compliance with the doctor's order. For patients with orthopedic trauma, timely intervention can not only effectively prevent the deterioration of the disease, but also reduce the occurrence of complications and accelerate the rehabilitation process.

[0063] 2. The present invention provides an orthopedic trauma diagnosis and treatment information processing method, which generates a personalized treatment plan by collecting and analyzing data such as the patient's physiological parameters, frequency of drug use, and duration of rehabilitation training. Based on the patient's specific situation and doctor's order standards, the method takes into account multiple dimensions such as heart rate deviation, blood pressure deviation, drug compliance, and completion of rehabilitation training, thereby ensuring the pertinence and effectiveness of the treatment. Compared with the traditional one-size-fits-all treatment method, the method more accurately meets the needs of patients, improves the treatment effect, and shortens the rehabilitation cycle. In addition, by monitoring the patient's physiological parameters, frequency of drug use, and duration of rehabilitation training, the method ensures that the patient strictly follows the doctor's orders for treatment, calculates the abnormal execution evaluation index, promptly detects deviations and issues warnings, prompts doctors and patients to take immediate action, and enhances the patient's self-management ability, thereby ensuring the implementation of the overall rehabilitation plan.

[0064] 3. The present invention provides an orthopedic trauma diagnosis and treatment information processing method, which provides medication reminders and rehabilitation training plan reminders through the patient application end, thereby enhancing the patient's self-management ability, and the patient can check his or her own physiological parameters, medication records and rehabilitation training plans at any time, which not only improves the patient's compliance with medical advice and treatment, but also strengthens the connection between doctors and patients, and improves the patient's trust in doctors, so that patients can more actively follow medical advice and participate in treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0066] Figure 1 is a flow chart of the method of the present invention;

[0067] Figure 2 The present invention is a flowchart for obtaining an abnormal execution evaluation index. DETAILED DESCRIPTION

[0068] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0069] Embodiment 1, as Figure 1 As shown, the present invention provides an orthopedic trauma diagnosis and treatment information processing method, comprising the following steps:

[0070] Step 1, establish an electronic medical management system. The electronic medical management system includes a management and monitoring terminal, an outpatient application terminal and a patient application terminal, and creates the patient's electronic medical record in the system. The outpatient application terminal generates personalized medical orders and transmits them electronically to the patient application terminal. An electronic medical management system is established to guide and monitor the execution information of medical orders for orthopedic trauma diagnosis and treatment, and determine the system modules, including the management and monitoring terminal, the outpatient application terminal and the patient application terminal. Based on the determined system modules, user roles and permissions are defined. The management and monitoring terminal is used for data collection, analysis, storage and management of the entire system, and provides an interface for doctors and administrators to view patient information, generate reports and intervene. The outpatient application terminal is an application terminal used by doctors in outpatient clinics, which is used to quickly access patient information and medical orders, and integrates the electronic transmission function of medical orders. Patients The user application end is a mobile application used by patients to receive and view medical advice, integrate the remaining drug monitoring and medication time reminder functions, provide rehabilitation training guidance and recording functions, and receive reminders and warning information from the system. An electronic medical record is created for each patient in the system, recording key information, including personal basic information, medical history, allergy information, and medical records, so that doctors can check and update at any time. Outpatient doctors generate medical advice on the outpatient application end based on the patient's electronic medical record and the patient's condition, and transmit the generated medical advice to the patient application end electronically through the electronic medical management system to ensure that patients obtain treatment information in a timely manner. The medical advice includes the drug name, dosage, usage, medication time, rehabilitation training plan, and follow-up cycle. The management and monitoring end automatically saves the electronic medical record and medical advice data, and generates a unique medical record number;

[0071] Step 2: The patient application integrates monitoring and reminder functions, including drug remaining amount monitoring and medication time reminder, to guide patients to execute the doctor's orders. According to the drug name, dosage, usage, medication time, rehabilitation training plan, and follow-up cycle information contained in the doctor's orders, the received doctor's orders are parsed on the patient application, and information related to drug remaining amount monitoring and medication time reminder is extracted. Combined with the medication time information of the doctor's orders, a schedule is set on the patient application to remind the patient to take the medicine regularly, and guide the patient to ensure that the doctor's orders are executed on time. Multiple reminder methods such as ringtones, vibrations, and notification bar messages are used to ensure that the patient can receive reminders at the preset time points. For drugs that need to be taken on time and in the right amount, repeated reminders are set to prevent patients from forgetting. After taking the medicine, the patient updates the remaining amount of the medicine through the patient application, clicks the "Drug Taken" button on the patient application to confirm, and the system automatically calculates the remaining amount. When the remaining amount of the medicine is lower than the set threshold, a reminder notification is sent to prompt the patient to prepare to replenish the medicine. Based on the rehabilitation training plan recommended by the doctor in the doctor's order, a rehabilitation training plan reminder is sent to the patient application, and the progress of the patient's rehabilitation training is recorded;

[0072] Step 3, collect patient monitoring data through a remote monitor, record the patient's physiological parameters, and combine the frequency of drug use and the duration of rehabilitation training recorded by the patient on the patient application end to monitor whether the patient's data meets the expected execution of the doctor's order. Use a remote monitor to collect the patient's physiological parameter data, including heart rate and blood pressure. The remote monitor is a smart watch or a health monitoring belt, and the physiological parameter data is transmitted to the patient application end wirelessly. The management monitoring end extracts the physiological parameters, drug use frequency and rehabilitation training duration data from the patient application end in a periodic manner according to a preset cycle, and integrates them. The integrated data is compared and analyzed according to the preset doctor's order standards. The preset doctor's order standards include target heart rate range, blood pressure control target, drug taking plan, and rehabilitation training requirements to monitor the patient's doctor's order execution and the patient's rehabilitation progress, and analyze and determine whether the patient's physiological parameters are within the normal range, whether the frequency of drug use meets the doctor's order requirements, and whether the rehabilitation training is carried out as planned;

[0073] Step 4: Extract features from patient monitoring data, drug use frequency, and rehabilitation training duration data, build an abnormal warning model, and analyze the abnormal execution evaluation index to analyze the patient's medical order execution;

[0074] Step 5: preset different warning levels according to the abnormal execution evaluation index, corresponding to different degrees of execution deviation, and divide the corresponding warning thresholds for the warning levels to determine whether the patient data meets the expected execution of the medical order. According to the medical order standard and the abnormal execution evaluation index, preset different warning levels, corresponding to different degrees of execution deviation, namely, the first warning level, the second warning level and the third warning level, wherein the warning level increases step by step from the first level to the third level in terms of the execution deviation degree, divide the corresponding warning thresholds for different warning levels, analyze the different deviation degrees of the patient's medical order execution based on the preset warning level, and determine whether the patient data meets the expected execution of the medical order in combination with the corresponding deviation degree;

[0075] Furthermore, the multiple warning levels correspond to multiple warning thresholds, wherein the warning thresholds include an upper threshold and a lower threshold;

[0076] Multiple warning levels and multiple warning thresholds satisfy the following relationship:

[0077] Level 1 warning level (low deviation) A≤A T1 , corresponding to a lower A value, the patient's overall execution of medical advice was good, with only slight deviations, and no immediate intervention was required, but continued observation was recommended;

[0078] Second level warning level (moderate deviation) A T1 <A≤A T2, corresponding to a medium A value, the patient has a moderate deviation in the execution of medical instructions and may need the attention of doctors or nursing staff, and consider taking some intervention measures to improve the situation;

[0079] Level 3 warning level (altitude deviation) A>A T2 , corresponding to a higher A value, there is a high degree of deviation in the execution of the patient's medical instructions, and immediate intervention measures are needed to prevent the deterioration of the condition or the occurrence of adverse consequences;

[0080] Among them, A is the abnormal execution evaluation index, A T1 is the lower threshold corresponding to the second-level warning level and the upper threshold corresponding to the first-level warning level, A T2 The lower threshold corresponding to the third warning level and the upper threshold corresponding to the second warning level;

[0081] Step 6: Based on the evaluation result of the warning level, send warning information to the outpatient application end, formulate intervention measures, guide patients to correctly execute the doctor's orders, obtain the calculated value of the abnormal execution evaluation index according to the patient's physiological parameters, drug use and rehabilitation training data, and compare it with the preset warning threshold to determine the warning level of the patient's doctor's order execution. According to the warning level, generate corresponding warning information to display the patient's current doctor's order execution deviation status, and send the warning information to the outpatient application end of the relevant doctor through the management monitoring end. After receiving the warning information, the doctor evaluates and manually reviews the patient's condition and re-determines the accuracy of the evaluation result. The doctor performs treatment intervention within the patient's follow-up cycle according to the determined warning level and the actual situation of the patient, and informs the patient and his family of the doctor's treatment intervention results through the SMS and telephone channels of the management monitoring end, guides the patient and his family to execute the doctor's orders, and records the monitored doctor's order execution, warning information, and intervention measures in the patient's electronic medical record. Generate reports regularly and push them to the patient's application end to improve the patient's awareness of the importance of doctor's orders.

[0082] Embodiment 2, as Figure 2As shown, on the basis of Example 1, the present invention provides a technical solution: preferably, in step 4, the process of obtaining the abnormal execution evaluation index is: collecting the patient's physiological parameters, drug use frequency and rehabilitation training duration data from the remote monitor and the patient application end, and preprocessing the data, including data cleaning and standardization, removing outliers and noise, ensuring data quality, defining key features and extracting related feature data according to the doctor's order standard, which are heart rate deviation, blood pressure deviation, drug compliance, and rehabilitation training completion, combining heart rate deviation and blood pressure deviation to obtain a physiological parameter deviation index, obtaining a drug use compliance index according to the planned medication dose and the actual medication dose, obtaining a rehabilitation training completion index according to the actual rehabilitation training completion and the planned rehabilitation training completion, independently analyzing the deviation of the patient's doctor's order execution and state recovery, constructing an abnormal warning model based on the extracted heart rate deviation, blood pressure deviation, drug compliance, and rehabilitation training completion related data, and obtaining an abnormal execution evaluation index according to the analysis results of the doctor's order standard and the abnormal warning model to comprehensively evaluate the patient's doctor's order execution;

[0083] Furthermore, the calculation formula of the physiological parameter deviation index is:

[0084]

[0085]

[0086] Among them, PI is the physiological parameter deviation index, Va(HR) and Va(BP) are the heart rate variance and blood pressure variance, which respectively indicate the degree of fluctuation of heart rate and blood pressure, and M(HR tr ) and M(BP tr ) is the mean of target heart rate and target blood pressure, Limit(HR m , HR max , HR min ) is a limiting function used to ensure that the heart rate measurement is within the maximum HR max and minimum HR min In the normal range, HR m is the actual measured heart rate, BP m is the actual measured blood pressure, N is the number of measurements, is the heart rate measured at the ith time, is the blood pressure measured for the ith time, P is the number of target values, is the jth target measured heart rate, is the jth target blood pressure measurement. It should be noted that the value range of PI is [0,1]. The smaller the value of PI is, the closer the physiological parameter is to the target value;

[0087] The calculation formula of medication compliance index is:

[0088]

[0089] Among them, MI is the medication compliance index, D s is the planned medication dose, D a is the actual dosage, Sum(|D s -D a |) is the sum of the difference between the planned and actual medication doses, D Z It is the total planned number of medication doses. It should be noted that the value range of MI is [0,1]. The closer the value of MI is to 1, the better the compliance.

[0090] The calculation formula of rehabilitation training completion index is:

[0091]

[0092] Among them, RI is the rehabilitation training completion index, R ms is the number of minutes of rehabilitation training actually completed, R mj is the planned number of minutes of rehabilitation training, R da is the actual number of rehabilitation training days, R ds It is the number of days of planned rehabilitation training. It should be noted that the value range of RI is [0,1]. The closer the value of RI is to 1, the higher the completion degree is.

[0093] Furthermore, the calculation formula of the abnormal execution evaluation index is:

[0094]

[0095] Among them, A is the abnormal execution evaluation index, max(PI, MI, RI) means using the maximum value function to determine the main abnormal direction, and Va(A c ) is the variance of the physiological parameter deviation index, the medication compliance index and the rehabilitation training completion index, which indicates the degree of fluctuation among the physiological parameter deviation index, the medication compliance index and the rehabilitation training completion index. It should be noted that the higher the value of A, the higher the overall abnormality of the patient's execution of the doctor's orders, which requires the doctor's attention and intervention.

[0096] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for processing information of orthopedic trauma diagnosis and treatment, Features: The following steps are involved: Step 1: Establish an electronic medical management system, which includes a management and monitoring terminal, an outpatient application terminal, and a patient application terminal. The electronic medical record of the patient is created in the system, and the outpatient application terminal generates personalized medical advice and transmits it electronically to the patient application terminal. Step 2: The patient application integrates monitoring and reminder functions, including monitoring of remaining medication and reminders of medication time, to guide patients to follow doctor's orders; Step 3: Collect patient monitoring data through the remote monitor, record the patient's physiological parameters, and combine the frequency of drug use and the duration of rehabilitation training recorded by the patient on the patient application end to monitor whether the patient's data meets the expected execution of the doctor's orders; Step 4: Extract features from patient monitoring data, drug use frequency, and rehabilitation training duration data, build an abnormal warning model, and analyze the abnormal execution evaluation index to analyze the patient's medical order execution; Step 5: preset different warning levels according to the abnormal execution evaluation index, corresponding to different degrees of execution deviation, and divide the corresponding warning thresholds for the warning levels to determine whether the patient data meets the expected execution of the medical order; Step 6: Based on the evaluation results of the warning level, a warning message is sent to the outpatient application, and intervention measures are formulated to guide patients to correctly implement medical advice.

2. A method for processing orthopedic trauma diagnosis and treatment information according to claim 1, Features: In step 1, the process of creating an electronic medical record is as follows: Step 101, establish an electronic medical management system to guide and monitor the execution information of medical orders for orthopedic trauma diagnosis and treatment, and determine system modules, including a management and monitoring end, an outpatient application end, and a patient application end; Step 102, based on the determined system modules, define user roles and permissions, where the management monitoring end is used for data collection, analysis, storage and management of the entire system, and provides an interface for doctors and administrators to view patient information, generate reports and conduct interventions; the outpatient application end is an application end used by doctors in outpatient clinics, which is used to quickly access patient information and medical orders, and integrates the electronic transmission function of medical orders; the patient application end is a mobile application used by patients to receive and view medical orders, integrates the remaining drug monitoring and medication time reminder functions, provides rehabilitation training guidance and recording functions, and receives reminders and warning information from the system; Step 103, creating an electronic medical record for each patient in the system, recording key information, including basic personal information, medical history, allergy information, and medical records; Step 104, the outpatient doctor generates a medical order on the outpatient application end based on the patient's electronic medical record and the patient's condition, and transmits the generated medical order to the patient application end electronically through the electronic medical management system, wherein the medical order includes the drug name, dosage, usage, medication time, rehabilitation training plan, and follow-up period; Step 105, the management and monitoring terminal automatically saves the electronic medical record and doctor's order data, and generates a unique medical record number.

3. A method for processing orthopedic trauma diagnosis and treatment information according to claim 2, Features: In step 2, the process of guiding the patient to execute the doctor's order is: Step 201, according to the drug name, dosage, usage, medication time, rehabilitation training plan, and follow-up period information contained in the doctor's order, the patient application terminal parses the received doctor's order and extracts information related to drug remaining amount monitoring and medication time reminder; Step 202, combining the medication time information of the doctor's order, setting a schedule on the patient application end, regularly reminding the patient to take the medication, guiding the patient to ensure that the doctor's order is executed on time, and setting repeated reminders for the medication that needs to be taken on time and in the right amount; Step 203: After taking the medicine, the patient updates the remaining amount of the medicine through the patient application end, clicks the "drug taken" button on the patient application end to confirm, and the system automatically calculates the remaining amount. When the remaining amount of the medicine is lower than the set threshold, a reminder notification is sent to prompt the patient to prepare to refill the medicine; Step 204, based on the rehabilitation training plan recommended by the doctor in the medical order, a rehabilitation training plan reminder is sent to the patient application terminal, and the progress of the patient's rehabilitation training is recorded.

4. A method for processing orthopedic trauma diagnosis and treatment information according to claim 3, Features: In step 3, the process of monitoring whether the patient's data meets the expected execution of the doctor's order is as follows: Step 301, using a remote monitor to collect the patient's physiological parameter data, including heart rate and blood pressure, and the physiological parameter data is transmitted to the patient's application terminal via wireless mode; Step 302, the management monitoring end periodically extracts physiological parameters, drug use frequency, and rehabilitation training duration data from the patient application end according to a preset cycle, and integrates them; Step 303, compare and analyze the integrated data according to the preset medical order standards, which include target heart rate range, blood pressure control target, medication plan, and rehabilitation training requirements, so as to monitor the patient's medical order execution and the patient's rehabilitation progress, and analyze and determine whether the patient's physiological parameters are within the normal range, whether the frequency of drug use meets the medical order requirements, and whether the rehabilitation training is proceeding as planned.

5. The orthopedic trauma diagnosis and treatment information processing method according to claim 4, Features: In step 4, the process of obtaining the abnormal execution evaluation index is as follows: Step 401, collecting the patient's physiological parameters, drug use frequency and rehabilitation training duration data from the remote monitor and the patient application end, and pre-processing the data; Step 402, according to the doctor's order standard, key features are defined and related feature data are extracted, which are heart rate deviation, blood pressure deviation, drug compliance, and rehabilitation training completion. The physiological parameter deviation index is obtained by combining the heart rate deviation and blood pressure deviation. The drug use compliance index is obtained according to the planned medication dosage and the actual medication dosage. The rehabilitation training completion index is obtained according to the actual rehabilitation training completion and the planned rehabilitation training completion. The deviation of the patient's doctor's order execution and state recovery is independently analyzed; Step 403, based on the extracted heart rate deviation, blood pressure deviation, drug compliance, and rehabilitation training completion data, an abnormal warning model is constructed, and according to the analysis results of the medical order standard and the abnormal warning model, an abnormal execution evaluation index is obtained to comprehensively evaluate the patient's medical order execution.

6. A method for processing orthopedic trauma diagnosis and treatment information according to claim 5, Features: The calculation formula of the physiological parameter deviation index is: Among them, PI is the physiological parameter deviation index, Va(HR) and Va(BP) are the heart rate variance and blood pressure variance, which respectively indicate the degree of fluctuation of heart rate and blood pressure, and M(HR tr ) and M(BP tr ) is the mean of target heart rate and target blood pressure, Limit(HR m , HR max , HR min ) is a limiting function used to ensure that the heart rate measurement is within the maximum HR max and minimum HR min In the normal range, HR m is the actual measured heart rate; The calculation formula of the drug use compliance index is: Among them, MI is the medication compliance index, D s is the planned medication dose, D a is the actual dosage, Sum(|D s -D a |) is the sum of the difference between the planned and actual medication doses, D Z is the total planned number of medication doses; The calculation formula of the rehabilitation training completion index is: Among them, RI is the rehabilitation training completion index, R ms is the number of minutes of rehabilitation training actually completed, R mj is the planned number of minutes of rehabilitation training, R da is the actual number of rehabilitation training days, R ds is the number of days of planned rehabilitation training.

7. A method for processing orthopedic trauma diagnosis and treatment information according to claim 6, Features: The calculation formula of the abnormal execution evaluation index is: Among them, A is the abnormal execution evaluation index, max(PI, MI, RI) means using the maximum value function to determine the main abnormal direction, and Va(A c ) is the variance of the physiological parameter deviation index, medication compliance index, and rehabilitation training completion index, indicating the degree of fluctuation among the physiological parameter deviation index, medication compliance index, and rehabilitation training completion index.

8. The orthopedic trauma diagnosis and treatment information processing method according to claim 7, Features: In step 5, the process of judging whether the patient data meets the expected execution of the doctor's order is as follows: Step 501, according to the medical order standard and the abnormal execution evaluation index, different warning levels are preset, corresponding to different degrees of execution deviation, namely, the first warning level, the second warning level and the third warning level, wherein the degree of execution deviation increases step by step from the first level to the third level; Step 502, dividing the corresponding warning thresholds into different warning levels; Step 503, based on the preset warning level, analyze the different deviation degrees of the patient's medical order execution, and determine whether the patient data meets the expected medical order execution status based on the corresponding deviation degrees.

9. The orthopedic trauma diagnosis and treatment information processing method according to claim 8, Features: A plurality of the warning levels correspond to a plurality of the warning thresholds, wherein the warning thresholds include an upper threshold and a lower threshold; The multiple warning levels and the multiple warning thresholds satisfy the following relationship: First level warning level A≤A T1 ; Level 2 Warning Level A T1 <A≤A T2 ; Level 3 warning level A>A T2 ; Among them, A is the abnormal execution evaluation index, A T1 is the lower threshold corresponding to the second-level warning level and the upper threshold corresponding to the first-level warning level, A T2 It is the lower threshold corresponding to the third warning level and the upper threshold corresponding to the second warning level.

10. The orthopedic trauma diagnosis and treatment information processing method according to claim 9, Features: In step 6, the process of formulating intervention measures to guide patients to correctly implement the doctor's orders is as follows: Step 601, obtaining a calculated value of an abnormal execution evaluation index based on the patient's physiological parameters, drug use, and rehabilitation training data, and comparing it with a preset warning threshold to determine a warning level of the patient's medical order execution; Step 602, generating corresponding warning information according to the warning level, showing the patient's current doctor's order execution deviation status; Step 603, the warning information is sent to the outpatient application terminal of the relevant doctor through the management monitoring terminal. After receiving the warning information, the doctor evaluates and manually reviews the patient's condition to re-confirm the accuracy of the evaluation result; Step 604: The doctor performs treatment intervention during the patient's follow-up period according to the determined warning level and the actual situation of the patient, and notifies the patient and his / her family of the doctor's treatment intervention results through SMS and phone channels of the management monitoring terminal, and guides the patient and his / her family to execute the doctor's orders; Step 605, the monitored execution status of medical orders, warning information, and intervention measures are recorded in the patient's electronic medical record, and reports are generated regularly and pushed to the patient's application end.

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