Abdominal postoperative pain intelligent medical management system based on JBI mode

Abstract

The invention relates to the technical field of intelligent medical treatment, in particular to an abdominal postoperative pain intelligent medical management system based on a JBI mode. The system comprises a platform application layer which is used for providing a user interface and an interaction mode, and medical staff and patients can access and use various services provided by a platform service layer; the platform service layer is used for monitoring and analyzing the pain level of a patient in real time, giving an alarm when the pain level is abnormal, and formulating and adjusting an analgesia strategy according to the pain level; and the evaluation feedback unit is used for formulating an evaluation index for the result of the platform service layer and optimizing the service according to the result of the index. The system not only records the pain score and accompanying symptoms of the patient, but also performs customized pain assessment according to different types of patients, so that the working efficiency of medical personnel is improved, the treatment compliance and satisfaction of the patient are enhanced, and finally the overall pain management level and the life quality of the patient are improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent medical technology, and in particular to an intelligent medical management system for abdominal postoperative pain based on a JBI model. Background Art

[0002] Postoperative pain refers to acute noxious pain that occurs after surgery (usually lasting no more than 7 days). It is the most common and most urgent acute pain in clinical practice. Almost all patients will experience varying degrees of pain within 48 hours after surgery. Among surgical operations, abdominal surgery is one of the most common types, accounting for 66% of the 313 million surgical operations per year worldwide. Although abdominal surgery can achieve the purpose of treatment, it can also easily cause severe pain in patients after surgery. Studies have shown that approximately 77-83% of abdominal surgery patients experience postoperative pain, especially upper abdominal surgery, where the incidence of pain is as high as 90%. The presence of postoperative pain can have adverse effects on the patient's psychological and physiological aspects, such as anxiety, depression, low immune function, slowed healing process, etc., and even develop into chronic postoperative pain after prolonged treatment. It can be seen that the incidence of abdominal postoperative pain is high, which has a wide impact on patients and is not conducive to the recovery of patients' diseases, and further effective management is urgently needed.

[0003] Perfect postoperative pain management involves different professional members such as anesthesiologists, surgeons and nurses. Among them, nurses are familiar with the entire surgical process, can provide technical support for patients in pain control, formulate pain-related rules to standardize pain assessment and recording, conduct pain health education for patients, and serve as a link between anesthesiologists and surgeons to coordinate postoperative pain management. Therefore, the level of postoperative pain care is one of the important factors affecting the management effect. Although many nursing scholars have explored targeted pain care measures for abdominal surgery, most of them are based on one aspect of postoperative pain care, and most of the suggestions given are fragmentary suggestions, the content is still not comprehensive enough, and lacks scientific integrity.

[0004] The JBI (Joanna Briggs Institute) model is an evidence-based nursing model that provides a systematic approach to integrate the best evidence, professional knowledge, and patient values ​​in clinical practice to optimize nursing decisions and practice processes. The JBI model emphasizes the rigorous evaluation and screening of various types of research evidence to ensure the reliability and validity of the evidence. In terms of pain management, the JBI model helps medical staff to develop personalized pain management plans for patients based on evidence, rather than relying solely on experience or conventional practices. By comprehensively considering multiple factors, such as pain assessment methods, the selection and use of analgesics, and the application of non-drug interventions, it can manage postoperative pain more comprehensively and scientifically, thereby improving the quality and effectiveness of pain management and promoting patient recovery. In view of this, it is of great significance to design an intelligent medical management system for abdominal postoperative pain based on the JBI model. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent medical management system for abdominal postoperative pain based on the JBI model, so as to solve the problem that the suggestions given in the above background technology based on a certain aspect of postoperative pain care are mostly fragmentary suggestions, the content is still not comprehensive enough, and lacks scientific integrity.

[0006] To achieve the above objectives, the present invention provides an intelligent medical management system for abdominal postoperative pain based on the JBI model, comprising: The platform application layer is used to provide a user interface and interaction method, so that medical staff and patients can access and use the various services provided by the platform service layer; The platform service layer is used to monitor and analyze the patient's pain level in real time, issue an alarm when the pain level is abnormal, and formulate and adjust analgesia strategies according to the pain level; Among them, the platform service layer includes the evaluation record module, the abnormality tracking module, and the drug management module; The evaluation feedback unit is used to formulate evaluation indicators for the results of the platform service layer and optimize the service according to the results of the indicators.

[0007] As a further improvement of the present technical solution, the user interface of the platform application layer displays the patient's personal information, pain score and analgesia strategy.

[0008] As a further improvement of this technical solution, in the platform service layer: The assessment and recording module is used to monitor pain patients, including outpatient pain patients and inpatient pain patients, record the accompanying symptoms of the patients, and conduct pain assessments on outpatient pain patients and inpatient pain patients respectively to obtain pain scores of the two types of patients. In the process of pain assessment of inpatients, nonlinear relationships and additional pain influencing factors are introduced for optimization. The assessment and recording module also pre-establishes pain level standards and pain scoring nodes, determines the pain level according to the pain score and matches the analgesic drugs of that level, determines the consultation treatment method according to the pain level, and regularly evaluates the analgesic effect; The abnormal tracking module is used to continuously collect the pain scores of hospitalized patients and issue an alarm when the pain score exceeds the safe pain threshold; The medication management module is used to monitor the hospital's drug inventory, store and manage medication information prescribed by medical staff, remind inpatients to take medication on time and record actual medication records. At the same time, it can also check potential interactions between drugs.

[0009] As a further improvement of the technical solution, the assessment and recording module performs pain assessment on hospitalized pain patients to obtain the pain scores of the patients, as follows: ; in, score the pain; to score patients’ self-reported pain; weights assigned to patients’ self-reported pain scores; is the heart rate; is the weight of heart rate; For blood pressure; is the weight of blood pressure; is the respiratory rate; is the weight of respiratory rate; score pain in body language; weighting of pain scores for body language; score the pain expressed verbally; Weighting for verbalized pain scores.

[0010] As a further improvement of the technical solution, in the evaluation and recording module, nonlinear relationships and additional pain influencing factors are introduced in the process of pain evaluation of hospitalized patients for optimization. After optimization, the specific results are as follows: ; in, This is the optimized pain score; It is the percentage of heart rate deviation from the normal range; The weight is the percentage of heart rate deviation from the normal range; is the percentage of systolic blood pressure deviating from the normal range; The weight is the percentage by which systolic blood pressure deviates from the normal range; is the percentage of diastolic blood pressure deviating from the normal range; is the weight of the percentage by which diastolic blood pressure deviates from the normal range; It is the percentage of respiratory rate deviating from the normal range; is the weight of the percentage by which the respiratory rate deviates from the normal range; For sleep quality; is the weight of sleep quality; For activity ability; is the weight of activity capacity; For psychological state; is the weight of the psychological state; is a nonlinear adjustment factor.

[0011] As a further improvement of the present technical solution, the assessment and recording module performs pain assessment on outpatient pain patients to obtain the patient's pain score, and performs a comprehensive pain score based on the patient's self-reported pain score, heart rate, body language and language expression. If the outpatient patient's pain score is greater than or equal to 4 points and the duration is greater than or equal to 3 days, the patient will be transferred to an inpatient.

[0012] As a further improvement of the technical solution, the outpatients in the evaluation record module include first-time patients, return patients and patients with follow-up information registration; For patients visiting the hospital for the first time, the patient information and medication history are registered first, and pain assessment is performed. Medication recommendations are made based on the patient's pain and adverse reactions, and analgesics are matched based on the results of the pain assessment. For patients returning for follow-up visits, the theoretical dispensing time is calculated based on the last dispensing time and usage and dosage. If the patient dispenses the medicine in advance, the platform application layer will pop up a dialog box to remind the patient of the number of days in advance. If the patient does not dispense the medicine in advance, a pain assessment will be conducted, and medication recommendations will be made based on the patient's pain and adverse reactions, and analgesics will be matched based on the results of the pain assessment; For patients whose follow-up information is registered, if there are patients with poor pain control and obvious adverse reactions in the patient list, a follow-up visit will be conducted based on the patient's registered contact information.

[0013] As a further improvement of the technical solution, in the evaluation and recording module, the pain grade standard and pain scoring nodes are specifically as follows: patient If the pain is between 4 and 6 points and lasts for less than 7 days, it is considered level 1 pain. patient Between 4 and 6 points and lasting for 7 days or more; If the score is greater than 6 and the duration is less than 7 days, it is considered as Grade 2 pain; patient If the score is greater than six points and lasts for more than or equal to seven days, it is grade three pain.

[0014] As a further improvement of the technical solution, in the evaluation and recording module, the consultation treatment method is determined according to the pain level as follows: If the patient has level 1 pain, the doctor will first perform routine pain management. If the pain is not relieved after routine treatment, a specialist consultation will be requested. If the pain persists or worsens after the specialist consultation, a multidisciplinary pain team consultation will be requested. If the patient has secondary pain, priority should be given to requesting a pain specialist consultation or a pain MDT consultation; If the patient has grade 3 pain, a pain MDT consultation is performed immediately.

[0015] As a further improvement of the present technical solution, the evaluation indicators of the evaluation feedback unit include medical care execution rate indicators and patient outcome indicators.

[0016] Compared with the prior art, the present invention has the following beneficial effects: This intelligent medical management system for abdominal postoperative pain based on the JBI model not only records the patient's pain score and accompanying symptoms, but also conducts customized pain assessments based on different types of patients (outpatient and inpatient). The system can automatically determine the pain level and match the most appropriate analgesic drugs and consultation treatment methods accordingly. This systematic evaluation and management method not only improves the work efficiency of medical staff, but also enhances the patient's treatment compliance and satisfaction, ultimately improving the overall pain management level and the patient's quality of life. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is the overall flow chart of the present invention; The meaning of each number in the figure is: 1. Platform application layer; 2. Platform service layer; 21. Evaluation record module; 22. Abnormality tracking module; 23. Drug management module; 3. Evaluation feedback unit. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0019] See also Figure 1As shown, a smart medical management system for abdominal postoperative pain based on the JBI model is provided, including a platform application layer 1, a platform service layer 2 and an evaluation feedback unit 3; wherein, The platform application layer 1 is used to provide a user interface and interaction method. Both medical staff and patients can access and use the various services provided by the platform service layer 2. The user interface of the platform application layer 1 displays the patient's personal information, pain score, and analgesia strategy. It not only helps medical staff to understand the patient's pain condition in real time and adjust the treatment plan in time, but also enhances the patient's sense of participation and satisfaction, promotes communication and cooperation between doctors and patients, and ultimately improves the effect of pain control and the patient's overall rehabilitation experience.

[0020] The platform service layer 2 is used to monitor and analyze the patient's pain level in real time, and to send out an alarm when the pain level is abnormal. At the same time, the analgesic strategy is formulated and adjusted according to the pain level. The platform service layer 2 includes an evaluation and recording module 21, an abnormality tracking module 22, and a drug management module 23. In the platform service layer 2: the evaluation and recording module 21 is used to monitor pain patients, including outpatient pain patients and inpatient pain patients, record the symptoms of the patients, and conduct pain assessments on the outpatient pain patients and inpatient pain patients respectively to obtain the pain scores of the two types of patients. In the process of pain assessment of inpatients, nonlinear relationships and additional pain influencing factors are introduced for optimization. The evaluation and recording module 21 also pre-establishes the pain level standard and pain scoring nodes, determines the pain level according to the pain score and matches the analgesic drugs of that level, determines the consultation treatment method according to the pain level, and regularly evaluates the analgesic effect; The assessment record module 21 performs pain assessment on hospitalized pain patients to obtain the pain scores of the patients, as follows: ; in, score the pain; Patients self-reported pain scores ranging from 0 to 10; weights assigned to patients’ self-reported pain scores; is the heart rate; is the weight of heart rate; For blood pressure; is the weight of blood pressure; is the respiratory rate; is the weight of respiratory rate; Score the pain in body language by observing the patient's facial expressions, body posture, etc., ranging from 0 to 10; weighting of pain scores for body language; The pain was rated verbally, using the patient's verbal expressions, ranging from 0 to 10; weighting of pain scores expressed verbally; In this embodiment, The weight of is 0.8; heart rate ( ) has a weight of 0.1; blood pressure ( ) has a weight of 0.05; respiratory rate ( ) has a weight of 0.09; body language ( ) has a weight of 0.03; verbal expression ( ) has a weight of 0.03; Assume that the data of a patient is as follows: Rating is 7; Heart rate is 100 beats / minute (high end of normal range); Blood pressure is (high value within normal range); The respiratory rate was 22 breaths / minute (high range of normal); Body language is 8; Verbal expression: 7; Substitute into the formula to calculate: ; ; ; In this example, the composite pain score is 8.11, indicating that the patient is experiencing moderate pain.

[0021] In the assessment and recording module 21, nonlinear relationships and additional pain influencing factors are introduced in the process of pain assessment for hospitalized patients for optimization. The optimization is as follows: ; in, This is the optimized pain score; It is the percentage of heart rate deviation from the normal range; The weight is the percentage of heart rate deviation from the normal range; is the percentage of systolic blood pressure deviating from the normal range; The weight is the percentage by which systolic blood pressure deviates from the normal range; is the percentage of diastolic blood pressure deviating from the normal range; is the weight of the percentage by which diastolic blood pressure deviates from the normal range; It is the percentage of respiratory rate deviating from the normal range; is the weight of the percentage by which the respiratory rate deviates from the normal range; sleep quality, a score provided by the patient or observer ranging from 0 to 10; is the weight of sleep quality; Mobility, the degree of limitation of the patient's daily activities, ranging from 0 to 10; is the weight of activity capacity; is the psychological state, including factors such as anxiety and depression, ranging from 0 to 10; is the weight of the psychological state; is the nonlinear adjustment factor; For pain scores, an additional penalty factor, such as +0.5, is added when the score is greater than or equal to 7. For physiological indicators, if the deviation exceeds a certain threshold (such as heart rate exceeding 50% of the normal range), an additional penalty factor is added.

[0022] In this embodiment, the formula The weight of is 0.3; the weight of heart rate is 0.1; the weight of systolic blood pressure is 0.075; the weight of diastolic blood pressure is 0.075; the weight of respiratory rate is 0.09; the weight of body language is 0.08; the weight of verbal expression is 0.08; the weight of sleep quality is 0.05; the weight of activity ability is 0.05; the weight of psychological state is 0.05; Assume that the data of a patient is as follows: Rating: 7; Heart rate deviation is ; Systolic blood pressure deviation ; Diastolic blood pressure deviation is 5%; The respiratory rate deviation is 10%; Body language is 8; Verbal expression: 0.25; Sleep quality is 6; Activity capacity is 5; The psychological state is 3; Substitute into the formula to calculate: ; ; ; because The score reached 7, so an adjustment factor of 0.5 was added, and the comprehensive pain score was about 3.99, but due to the existence of the adjustment factor, the actual score was close to 4.49, indicating that the patient had obvious pain and needed further attention and treatment. This optimized model provides a more comprehensive pain assessment, which not only takes into account the patient's subjective feelings, but also combines objective physiological indicators and other relevant observational data.

[0023] The assessment and recording module 21 performs pain assessment on outpatient pain patients to obtain the patient's pain score. A comprehensive pain score is calculated based on the patient's self-reported pain score, heart rate, body language and language expression. If the outpatient's pain score is greater than or equal to 4 points and the duration is greater than or equal to 3 days, the patient will be transferred to an inpatient for closer monitoring and treatment. This helps to identify and deal with serious pain problems in a timely manner and prevent the condition from worsening.

[0024] Outpatients in the evaluation record module 21 include first-time patients, returning patients, and patients with follow-up information registration; For patients visiting the hospital for the first time, the patient information and medication history are registered first, and a pain assessment is performed. Medication recommendations are made based on the patient's pain and adverse reactions, and analgesics are matched based on the results of the pain assessment. This improves the efficiency of the first visit and ensures that patients can quickly receive targeted treatment, reducing waiting time and the possibility of misdiagnosis.

[0025] For patients who have follow-up visits, the theoretical dispensing time is calculated based on the last dispensing time and usage and dosage. If the patient takes the medicine in advance, the platform application layer 1 will pop up a dialog box to remind the patient of the number of days in advance. If not, a pain assessment will be conducted, and medication recommendations will be made based on the patient's pain and adverse reactions. Analgesics will be matched based on the results of the pain assessment. The intelligent reminder and evaluation mechanism helps ensure that patients take medication on time, and can also adjust the treatment plan in time to improve the treatment effect.

[0026] For patients whose follow-up information is registered, if there are patients with poor pain control and obvious adverse reactions in the patient list, we will conduct a follow-up visit based on the contact information registered by the patient. This ensures that these patients can receive timely attention and support. This proactive follow-up management helps to timely discover and solve patients' problems and improve their treatment compliance and satisfaction.

[0027] In the assessment record module 21, the pain level standard and pain scoring nodes are as follows: patient If the pain is between 4 and 6 points and lasts for less than 7 days, it is considered level 1 pain. patient Between 4 and 6 points and lasting for 7 days or more; If the score is greater than 6 and the duration is less than 7 days, it is considered as Grade 2 pain; patient If the score is greater than six points and lasts for more than or equal to seven days, it is grade three pain.

[0028] By subdividing the pain level into primary, secondary and tertiary pain, and determining the pain level based on the NRS score and duration, a systematic and standardized pain assessment method is provided. This grading method not only helps medical staff quickly identify the patient's pain level and duration, but also guides more accurate pain management and treatment decisions. Detailed grading standards and scoring nodes help improve the efficiency and effectiveness of pain management, ensure that patients receive timely and appropriate treatment, and thus improve patients' treatment experience and quality of life.

[0029] In the assessment record module 21, the consultation treatment method is determined according to the pain level as follows: If the patient has level 1 pain, the doctor will first perform routine pain management. If the pain is not relieved after routine treatment, a consultation with a specialist (such as surgery, orthopedics, neurology, etc.) will be requested to exclude or treat potential causes. If the pain persists or worsens after the specialist consultation, a pain MDT multidisciplinary team consultation will be requested. The pain MDT consultation is a multidisciplinary team consultation, which usually includes multidisciplinary experts such as pain doctors, anesthesiologists, physical therapists, and psychotherapists to discuss and develop a more comprehensive pain management plan. If the patient has secondary pain, priority should be given to applying for a pain specialist consultation or a pain MDT consultation so that more professional pain management measures can be introduced as early as possible. This step is aimed at quickly and effectively controlling pain and preventing further aggravation of pain; If the patient has grade 3 pain, a pain MDT consultation will be conducted immediately. The multidisciplinary team will jointly assess the patient's pain and develop a personalized pain management plan, which may include comprehensive treatment measures such as strong analgesics, nerve blocks, physical therapy, and psychological support.

[0030] This hierarchical management approach helps ensure that patients with different pain levels receive timely and appropriate treatment. At the same time, MDT consultations can provide multi-faceted professional advice and help develop a more comprehensive and effective pain management plan.

[0031] Among them, pain assessment for hospitalized patients includes regular assessment, real-time assessment and reassessment. Regular assessment includes the following conditions: 1. The nurse completes the assessment within 8 hours of the patient's admission and within half an hour for emergency patients; 2. Nurses evaluate each shift; 3. During the use of the analgesic pump, the nurse should assess the patient's pain at least every 4 hours; 4. After surgery or invasive procedures, nurses should assess the patient's pain when the patient returns to the ward; Real-time assessment is when new pain occurs and when existing pain changes in nature or intensity; The reassessment includes the following conditions: 1. Pain score ≥ 4 points, assessed every 4 hours until the score is < 4 points; 2. After using analgesics, reassess: 15 minutes after intravenous injection; 30 minutes after subcutaneous injection and intramuscular injection; 1 hour after oral administration; 1 hour after rectal administration; 12 hours after patch application; 3. Assessment 30 minutes after non-drug intervention.

[0032] The abnormal tracking module 22 is used to continuously collect the pain scores of hospitalized patients and issue an alarm when the pain scores exceed the safe pain threshold; the drug management module 23 is used to monitor the hospital's drug inventory, and secondly store and manage the drug information prescribed by medical staff, and remind hospitalized patients to take medicine on time and record actual medication records. At the same time, it can also check potential interactions between drugs; Intelligent reminder and evaluation mechanisms ensure that patients take medications on time and adjust treatment plans in a timely manner to improve treatment outcomes; the abnormality tracking module 22 continuously collects pain scores of hospitalized patients and issues an alarm when the safety threshold is exceeded, thereby enabling early intervention; the medication management module 23 not only monitors drug inventory and manages medication information, but also reminds patients to take medications on time, records actual medication use, and checks for potential interactions between drugs to ensure medication safety. These modules work together to improve the timeliness, accuracy, and safety of pain management, and optimize patients’ treatment experience and clinical outcomes.

[0033] The evaluation feedback unit 3 is used to formulate evaluation indicators for the results of the platform service layer 2 and optimize the service according to the results of the indicators; the evaluation indicators include medical care execution rate indicators and patient outcome indicators; The medical execution rate refers to the proportion of medical staff implementing pain management plans and guidelines. This includes administering medication on time, correctly recording pain scores, regularly assessing patients' pain conditions, and responding to patients' pain reports in a timely manner. The medical execution rate indicator can ensure that all medical staff operate according to unified standards and procedures, improve the consistency and reliability of pain management, strengthen the sense of responsibility of medical staff, and ensure that they take every pain management link seriously. Through data analysis of the execution rate, it is possible to find out which links are not well implemented, so as to carry out targeted training or process improvements.

[0034] Patient outcome indicators reflect the actual effect of pain management, including but not limited to changes in pain scores, patients' functional recovery, improvement in quality of life, patient satisfaction, etc.; patient outcome indicators directly reflect the effectiveness of pain management, help determine whether the treatment plan needs to be adjusted, emphasize the patient-centered service concept, pay attention to patients' subjective feelings and quality of life, and by tracking patient outcomes, we can discover deficiencies in treatment and provide improvement suggestions for future treatments.

[0035] in, ; in, to score a composite patient outcome; The change in pain score was the pain score before treatment minus the pain score after treatment; The highest score for pain is ten; weights for changes in pain scores; The functional recovery rate is the ratio of the functional score after treatment minus the functional score before treatment to the maximum functional score minus the functional score before treatment; is the weight of functional recovery rate; The improvement rate of quality of life was calculated as the ratio of the quality of life score after treatment minus the quality of life score before treatment to the maximum quality of life score minus the quality of life score before treatment. is the weight of the improvement rate of quality of life; Patient satisfaction, specifically the ratio of the number of satisfied patients to the total number of patients; The weight of patient satisfaction; This formula can more accurately reflect the overall treatment effect and improvement in the patient's quality of life. This method not only helps medical institutions identify and solve deficiencies in pain management, but also promotes continuous quality improvement, improves patient satisfaction and treatment effects. In addition, through normalization, the comparison between different indicators is fairer and more intuitive, which is easier for clinical workers to understand and apply, thereby better guiding clinical decision-making and resource allocation.

[0036] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only preferred examples of the present invention, and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. An intelligent medical management system for abdominal postoperative pain based on the JBI model, characterized by: include: A platform application layer (1), the platform application layer (1) is used to provide a user interface and interaction method, so that medical staff and patients can access and use various services provided by the platform service layer (2); A platform service layer (2), the platform service layer (2) is used to monitor and analyze the patient's pain level in real time, to issue an alarm when the pain level is abnormal, and to formulate and adjust analgesia strategies according to the pain level; The platform service layer (2) includes an evaluation record module (21), an abnormality tracking module (22), and a drug management module (23); An evaluation feedback unit (3), wherein the evaluation feedback unit (3) is used to formulate evaluation indicators for the results of the platform service layer (2) and optimize the service according to the results of the indicators.

2. The intelligent medical management system for abdominal postoperative pain based on the JBI model according to claim 1 is characterized by: The user interface of the platform application layer (1) displays the patient's personal information, pain score and analgesia strategy.

3. The intelligent medical management system for abdominal postoperative pain based on the JBI model according to claim 2 is characterized in that: In the platform service layer (2): The assessment and recording module (21) is used to monitor pain patients, including outpatient pain patients and inpatient pain patients, record the accompanying symptoms of the patients, and conduct pain assessments on the outpatient pain patients and inpatient pain patients respectively to obtain pain scores of the two types of patients. In the process of pain assessment of inpatients, nonlinear relationships and additional pain influencing factors are introduced for optimization. The assessment and recording module (21) also pre-establishes pain level standards and pain scoring nodes, determines the pain level according to the pain score and matches the analgesic drug of that level, determines the consultation treatment method according to the pain level, and regularly evaluates the analgesic effect; The abnormal tracking module (22) is used to continuously collect the pain scores of hospitalized patients and issue an alarm when the pain score exceeds the safe pain threshold; The medication management module (23) is used to monitor the hospital's drug inventory, store and manage the medication information prescribed by medical staff, remind inpatients to take medication on time and record actual medication records. At the same time, it can also check potential interactions between drugs.

4. The intelligent medical management system for abdominal postoperative pain based on the JBI model according to claim 3 is characterized by: The assessment recording module (21) performs a pain assessment on the hospitalized pain patient to obtain the patient's pain score, as follows: ； in, score the pain; to score patients’ self-reported pain; weights assigned to patients’ self-reported pain scores; is the heart rate; is the weight of heart rate; For blood pressure; is the weight of blood pressure; is the respiratory rate; is the weight of respiratory rate; score pain in body language; weighting of pain scores for body language; Score verbalized pain; Weighting for verbalized pain scores.

5. The intelligent medical management system for abdominal postoperative pain based on the JBI model according to claim 4 is characterized in that: In the assessment recording module (21), nonlinear relationships and additional pain influencing factors are introduced to optimize the pain assessment process for hospitalized patients. After optimization, the following are specific examples: ； in, This is the optimized pain score; It is the percentage of heart rate deviation from the normal range; The weight is the percentage of heart rate deviation from the normal range; is the percentage of systolic blood pressure deviating from the normal range; The weight is the percentage by which systolic blood pressure deviates from the normal range; is the percentage of diastolic blood pressure deviating from the normal range; is the weight of the percentage by which diastolic blood pressure deviates from the normal range; It is the percentage of respiratory rate deviating from the normal range; is the weight of the percentage by which the respiratory rate deviates from the normal range; For sleep quality; is the weight of sleep quality; For activity ability; is the weight of activity capacity; For psychological state; is the weight of the psychological state; is a nonlinear adjustment factor.

6. The intelligent medical management system for abdominal postoperative pain based on the JBI model according to claim 5 is characterized by: The assessment recording module (21) performs a pain assessment on outpatient pain patients to obtain the patient's pain score, which is a comprehensive pain score based on the patient's self-reported pain score, heart rate, body language and language expression. If the outpatient patient's pain score is greater than or equal to 4 points and the duration is greater than or equal to 3 days, the patient will be transferred to an inpatient.

7. The intelligent medical management system for abdominal postoperative pain based on the JBI model according to claim 6 is characterized by: The outpatients in the evaluation record module (21) include first-time patients, return patients, and patients with follow-up information registration; For patients visiting the hospital for the first time, the patient information and medication history are registered first, and pain assessment is performed. Medication recommendations are made based on the patient's pain and adverse reactions, and analgesics are matched based on the results of the pain assessment. For patients who have come back for follow-up visits, the theoretical dispensing time is calculated based on the last dispensing time and the usage and dosage. If the patient dispenses the medicine in advance, the platform application layer (1) will pop up a dialog box to remind the patient of the number of days in advance. If the patient does not dispense the medicine in advance, a pain assessment will be conducted, and medication recommendations will be made based on the patient's pain and adverse reactions. Analgesics will be matched based on the results of the pain assessment. For patients whose follow-up information is registered, if there are patients with poor pain control and obvious adverse reactions in the patient list, a follow-up visit will be conducted based on the patient's registered contact information.

8. The intelligent medical management system for abdominal postoperative pain based on the JBI model according to claim 7 is characterized by: In the assessment recording module (21), the pain level standard and pain scoring nodes are specifically as follows: patient If the pain is between 4 and 6 points and lasts for less than 7 days, it is considered level 1 pain. patient Between 4 and 6 points and lasting for 7 days or more; If the score is greater than 6 and the duration is less than 7 days, it is considered as Grade 2 pain; patient If the score is greater than six points and lasts for more than or equal to seven days, it is grade three pain.

9. The intelligent medical management system for abdominal postoperative pain based on the JBI model according to claim 8 is characterized in that: In the assessment recording module (21), the consultation treatment method is determined according to the pain level as follows: If the patient has level 1 pain, the doctor will first perform routine pain management. If the pain is not relieved after routine treatment, a specialist consultation will be requested. If the pain persists or worsens after the specialist consultation, a multidisciplinary pain team consultation will be requested. If the patient has secondary pain, priority should be given to requesting a pain specialist consultation or a pain MDT consultation; If the patient has grade 3 pain, a pain MDT consultation is performed immediately.

10. The intelligent medical management system for abdominal postoperative pain based on the JBI model according to claim 9 is characterized in that: The evaluation indicators of the evaluation feedback unit (3) include a medical care execution rate indicator and a patient outcome indicator.

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