Pain grade evaluation method and evaluation system thereof

Abstract

The invention discloses a pain grade evaluation method and an evaluation system thereof. According to the method and the system, the pain condition of the patient can be comprehensively and accurately evaluated by integrating various evaluation tools. The combined use of e-VAS, EIAS, AIS and PMS not only considers the intensity and physiological influence of pain, but also covers the influence of psychological state and life quality, thereby providing a multi-dimensional pain assessment perspective for medical staff. And meanwhile, by introducing digital and remote monitoring technologies, the convenience and efficiency of pain management are greatly improved. The digital operation of the e-VAS is simple and visual, the patient can easily complete self-evaluation, and the remote monitoring system allows the patient to continue to participate in pain management after being discharged from the hospital and keep continuous communication with a medical team. The continuity and convenience not only improve the treatment compliance of the patient, but also enable the medical staff to adjust the treatment scheme in time so as to cope with the dynamic change of the pain, thereby achieving the effects of optimizing the patient experience and enhancing the treatment effect.

Description

Technical Field

[0001] The present invention belongs to the technical field of pain level assessment, and specifically relates to a pain level assessment method and an assessment system thereof. Background Art

[0002] Pain level assessment is an important tool for quantitatively evaluating the degree of pain in the medical field. It helps doctors understand the patient's pain condition more accurately and develop appropriate treatment plans. With the continuous advancement of pain management, pain level assessment methods will become more accurate and convenient, making greater contributions to alleviating patients' pain and improving their quality of life. In the future, pain level assessment is expected to combine with intelligent technology to achieve individualized and dynamic pain management, and become an important tool in the modern medical system. The significance of pain level assessment is: Improve treatment effect: Help doctors develop targeted pain management plans. Improve patient experience: Make patients feel the doctor's attention to pain and enhance their confidence in treatment. Monitor changes in the condition: Evaluate the treatment effect and disease progression through changes in pain levels. The application scenarios of pain level assessment include: Clinical treatment: As an important part of pain management, it is widely used in various types of pain treatment. Scientific research: Provide quantitative data for pain-related research and promote the development of pain treatment technology. Health education: Educate patients to correctly understand pain and improve their self-management ability.

[0003] However, common pain level assessment methods often rely on single assessment tools, such as VAS or NRS, which may not fully capture the complexity and individual differences of pain. At the same time, patients' participation in traditional assessments is limited, and they often only passively accept the assessment rather than actively participate in the assessment process. Summary of the invention

[0004] The purpose of the present invention is to provide a method for evaluating pain level and an evaluation system thereof in order to solve the above-mentioned problem.

[0005] The technical solution adopted by the present invention is as follows: a method for evaluating pain level, characterized in that the method comprises the following steps:

[0006] S1: First, define the purpose and type of assessment, accurately assess the pain level, dynamic changes, physiological effects, psychological state and quality of life, and provide data support for personalized treatment;

[0007] S2: Conducting separate measurements of various pain level assessment tools, including the enhanced visual analogue scale test, i.e., the e-VAS test, the emotion recognition aid scale test, i.e., the EIAS test, the activity interference scale test, i.e., the AIS test, and the physiological parameter monitoring scale test, i.e., the PMS test;

[0008] S3: The total pain score is then calculated using the following formula:

[0009] Total pain score = α × e-VAS + β × EIAS + γ × AIS + δ × PMS;

[0010] in:

[0011] α, β, γ, δ are weight coefficients, determined based on expert opinions and statistical analysis, and their sum is 1

[0012] e-VAS is an enhanced visual analog scale score, ranging from 0 to 10 points;

[0013] EIAS is the Emotion Identification Aid Scale score, 0-10 points;

[0014] AIS is the activity interference scale score, 0-10 points;

[0015] PMS is the physiological parameter monitoring scale score, 0-10 points, based on the abnormality of heart rate and blood pressure physiological parameters;

[0016] S4: Develop an assessment process and train medical staff: Train medical staff on the use of e-VAS, EIAS, AIS, and PMS, explaining the meaning of the weight coefficient and how to adjust it according to the patient's condition;

[0017] S5: Patients self-assess, with patients completing e-VAS self-assessment via mobile devices, EIAS automatically scored using facial recognition technology, and patients filling out AIS questionnaires to assess the interference of pain with daily activities;

[0018] S6: Perform physiological parameter monitoring and use wearable devices to monitor the patient's physiological parameters;

[0019] S7: The system automatically records the data and timestamp of each assessment; calculates the total pain score and stores the result in the electronic medical record system;

[0020] S8: Conduct personalized pain management and make dynamic adjustments. According to the total pain score, formulate or adjust the pain management plan; set a threshold. When the total pain score exceeds the threshold, the system automatically reminds medical staff to intervene.

[0021] S9: Set up a pain education module and provide online educational resources to help patients understand pain management knowledge;

[0022] S10: Remote monitoring and support. Through mobile applications or web pages, patients can remotely report their pain conditions and receive treatment suggestions, after which the entire pain level assessment process can be completed.

[0023] In a preferred embodiment, in step S1, the medical team determines the specific direction of the evaluation based on the patient's specific situation, including pain type, medical history and treatment goals; for patients with chronic pain, the evaluation focuses more on the impact on quality of life, while for patients with acute pain, it focuses more on pain severity and physiological responses; the output of this stage should be a detailed evaluation plan that outlines the evaluation methods to be used and the expected results.

[0024] In a preferred embodiment, in step S2, the EIAS test uses facial recognition technology to assist in assessing the patient's emotional state, thereby inferring the psychological impact of pain; the assessment process is as follows:

[0025] Facial image acquisition: The patient's facial expressions are captured by a camera, and the system automatically performs the pain assessment while the patient is doing it;

[0026] Emotional analysis: Use machine learning algorithms to analyze collected facial expressions and identify basic emotional states such as happiness, neutrality, sadness, and anger;

[0027] Emotional score: Each emotional state corresponds to a score, and the system combines these scores to obtain an overall emotional score that reflects the patient's current emotional state;

[0028] Linked pain assessment: Emotional scores are combined with scores from scales such as e-VAS to provide healthcare professionals with more comprehensive pain assessment information.

[0029] In a preferred embodiment, in step S2, the process of AIS test is as follows:

[0030] Questionnaire design: The scale contains a series of statements about daily activities

[0031] Patients’ answers: Patients rated each statement based on their own situation using a 0-10 rating system, with 0 representing “not affected at all” and 10 representing “completely affected”;

[0032] Score calculation: The scores of all statements were added together to obtain a total score, or the average score was calculated to reflect the overall degree of interference of pain with activities;

[0033] Interpretation of results: High scores indicate that pain has a greater impact on the patient's daily life, suggesting that more active treatment measures are needed.

[0034] In a preferred embodiment, in step S2, the evaluation process of the enhanced visual analog scale test is as follows:

[0035] Patients are faced with a touch screen or mobile device interface that displays a horizontal line with the left side of the line marked as "no pain" (0) and the right side marked as "unbearable pain" (10). Patients are required to slide a mark on this line to indicate their current pain level. The specific steps of this process include:

[0036] Introduction and instruction: The medical staff explains the use of e-VAS to the patient and ensures that the patient understands the pain level represented by the two ends of the line;

[0037] Patient operation: Patients use the markers on the touch screen to slide the markers to the position that they think best represents the current pain level according to their pain sensation;

[0038] Record score: The number corresponding to the marked position is the patient's pain score, and the system automatically records the score and timestamp;

[0039] Dynamic tracking: e-VAS allows patients to make assessments at different time points in order to dynamically track changes in pain.

[0040] In a preferred embodiment, in step S2, the evaluation process of the physiological parameter monitoring scale test is as follows:

[0041] Parameter selection: Select physiological parameters related to pain response, including heart rate, blood pressure, respiratory rate, and skin conductance;

[0042] Data collection: Use wearable devices or specialized monitoring equipment to collect patients’ physiological parameters in real time;

[0043] Data analysis: Compare the collected physiological parameters with normal values ​​and calculate the degree of deviation. The greater the deviation, the more serious the physiological impact of pain.

[0044] Score conversion: convert the deviation degree of physiological parameters into scores;

[0045] Comprehensive assessment: The scores of all physiological parameters are summed up to obtain the total score of PMS.

[0046] In a preferred embodiment, in step S4, the training content includes the operation method of each tool, the method of interpreting the scale score, and how to adjust the weight coefficient according to the specific situation of the patient; in addition, the medical staff will also learn how to convert the evaluation results into an effective treatment plan;

[0047] In step S5, the patient completes the e-VAS self-assessment through the mobile device, reflecting the degree of pain through a simple sliding operation; the EIAS test does not require the patient to operate, and the system automatically captures and analyzes the patient's facial expressions.

[0048] In a preferred embodiment, in step S6, a wearable device is used to record heart rate, blood pressure, and respiratory rate indicators in real time and transmit them to an electronic medical record system;

[0049] In step S9, the management knowledge includes the causes of pain, how to relieve pain, and options for drug treatment and non-drug treatment; the education module is accessed through a mobile application or a web page to ensure that patients can obtain information at any time.

[0050] In a preferred embodiment, in step S10, the patient is allowed to continue to participate in the pain management process after discharge and maintain communication with the medical team; the remote monitoring system will record the patient's report and integrate it into the electronic medical record for tracking and evaluation by medical staff.

[0051] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0052] 1. In the present invention, by integrating multiple assessment tools, the patient's pain condition can be comprehensively and accurately assessed. The combined use of e-VAS, EIAS, AIS and PMS not only takes into account the intensity and physiological effects of pain, but also covers the impact of psychological state and quality of life, thereby providing medical staff with a multi-dimensional perspective on pain assessment. This comprehensiveness helps to avoid the limitations of a single assessment tool and ensure the comprehensiveness and accuracy of pain management. EIAS can capture emotional changes that are difficult for patients to express in words, while AIS reveals the specific impact of pain on patients' daily lives. This comprehensive assessment helps to develop a more personalized treatment plan and improve the pertinence and effectiveness of pain management.

[0053] 2. In the present invention, by introducing digitalization and remote monitoring technology, the convenience and efficiency of pain management are greatly improved. The digital operation of e-VAS is simple and intuitive, and patients can easily complete self-assessment, while the remote monitoring system allows patients to continue to participate in pain management after discharge and maintain continuous communication with the medical team. This continuity and convenience not only improves the patient's treatment compliance, but also enables medical staff to adjust the treatment plan in time to cope with the dynamic changes in pain. In addition, the setting of the pain education module deepens the patient's understanding of pain management and improves the self-management ability, thereby improving the quality of pain management and the patient's quality of life as a whole. Therefore, this pain level evaluation method has significant beneficial effects in improving personalized treatment, optimizing patient experience, and enhancing treatment effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a flowchart of the present invention. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0056] Example:

[0057] Reference Figure 1 ,

[0058] A method for evaluating pain level, the method comprising the following steps:

[0059] S1: First, define the purpose and type of assessment, accurately assess the pain level, dynamic changes, physiological effects, psychological state and quality of life, and provide data support for personalized treatment;

[0060] S2: Conducting separate measurements of various pain level assessment tools, including the enhanced visual analogue scale test, i.e., the e-VAS test, the emotion recognition aid scale test, i.e., the EIAS test, the activity interference scale test, i.e., the AIS test, and the physiological parameter monitoring scale test, i.e., the PMS test;

[0061] S3: The total pain score is then calculated using the following formula:

[0062] PS=α×e-VAS+β×EIAS+γ×AIS+δ×PMS;

[0063] in:

[0064] α, β, γ, δ are weight coefficients, determined based on expert opinions and statistical analysis, and their sum is 1

[0065] e-VAS is an enhanced visual analogue scale score ranging from 0 to 10.

[0066] EIAS is the Emotion Identification Assistance Scale score, ranging from 0 to 10.

[0067] AIS is the activity interference scale score, ranging from 0 to 10 points.

[0068] PMS is the physiological parameter monitoring scale score, 0-10 points, based on the abnormality of physiological parameters such as heart rate and blood pressure;

[0069] S4: Develop an assessment process and train medical staff: Train medical staff on the use of e-VAS, EIAS, AIS, and PMS, explaining the meaning of the weight coefficient and how to adjust it according to the patient's condition;

[0070] S5: Patients self-assess, with patients completing e-VAS self-assessment via mobile devices, EIAS automatically scored using facial recognition technology, and patients filling out AIS questionnaires to assess the interference of pain with daily activities;

[0071] S6: Perform physiological parameter monitoring and use wearable devices to monitor the patient's physiological parameters;

[0072] S7: The system automatically records the data and timestamp of each assessment. PS is calculated and the results are stored in the electronic medical record system;

[0073] S8: Personalize pain management and make dynamic adjustments. According to the PS results, formulate or adjust the pain management plan. Set a threshold. When the PS exceeds the threshold, the system automatically reminds medical staff to intervene.

[0074] S9: Set up a pain education module and provide online educational resources to help patients understand pain management knowledge.

[0075] S10: Remote monitoring and support. Through mobile applications or web pages, patients can remotely report pain conditions and receive treatment suggestions, after which the entire pain level assessment process can be completed.

[0076] In step S1, the medical team decides the specific direction of the assessment based on the patient's specific situation, such as pain type, medical history, and treatment goals. For example, for patients with chronic pain, the assessment focuses more on the impact on quality of life, while for patients with acute pain, it focuses more on pain severity and physiological responses. The output of this stage should be a detailed assessment plan that outlines the assessment methods to be used and the expected results.

[0077] In step S2, the Emotion Identification Aid Scale (EIAS)

[0078] The Emotion Identification Assistance Scale (EIAS) uses facial recognition technology to assist in assessing the patient's emotional state and infer the psychological impact of pain. The assessment process is as follows:

[0079] Facial image acquisition: The patient’s facial expressions are captured by a camera and the system automatically performs the pain assessment while the patient is doing so.

[0080] Emotion analysis: Use machine learning algorithms to analyze collected facial expressions and identify basic emotional states such as happiness, neutrality, sadness, and anger.

[0081] Emotional score: Each emotional state corresponds to a score. The system combines these scores to obtain an overall emotional score that reflects the patient's current emotional state.

[0082] Linked pain assessment: Emotional scores are combined with scores from scales such as e-VAS to provide healthcare professionals with more comprehensive pain assessment information.

[0083] The innovation of EIAS lies in its ability to non-invasively capture emotional changes that patients find difficult to express in words, providing an additional perspective for pain management.

[0084] In step S2, the activity interference scale (AIS)

[0085] The Activity Interference Scale (AIS) is designed to assess the degree to which pain interferes with daily activities. The assessment process is as follows:

[0086] Questionnaire design: The scale contains a series of statements about daily activities, such as "Does the pain affect your sleep?", "Does the pain make it difficult for you to perform daily housework?", etc.

[0087] Patient response: Patients rated each statement based on their own situation using a 0-10 rating system, with 0 representing “not affected at all” and 10 representing “completely affected.”

[0088] Score calculation: The scores for all statements were added together to give a total score, or an average score was calculated to reflect the overall degree of interference of pain with activities.

[0089] Interpretation of results: High scores indicate that pain has a greater impact on the patient's daily life, suggesting that more active treatment measures are needed.

[0090] AIS helps healthcare professionals understand the specific impact of pain on patients' quality of life and thus better formulate treatment plans.

[0091] In step S2, the enhanced visual analogue scale (e-VAS) is a digitized and enhanced version of the traditional VAS scale. The evaluation process is as follows:

[0092] The patient is faced with an interface on a touch screen or mobile device that displays a horizontal line with the left side of the line marked as "no pain" (represented by 0) and the right side marked as "unbearable pain" (represented by 10). The patient is required to slide a mark on this line to indicate their current pain level. The specific steps of this process include:

[0093] Introduction and instruction: The medical staff explains the use of e-VAS to the patient and ensures that the patient understands the pain level represented by the two ends of the line.

[0094] Patient operation: Patients use the markers on the touch screen to slide the markers to the position that they think best represents the current pain level based on their pain sensation.

[0095] Record score: The number corresponding to the marked position is the patient's pain score. The system automatically records the score and timestamp.

[0096] Dynamic tracking: e-VAS allows patients to make assessments at different time points in order to dynamically track changes in pain.

[0097] In step S2, the physiological parameter monitoring scale (PMS)

[0098] The Physiological Parameter Monitoring Scale (PMS) assesses the physiological impact of pain by monitoring the patient's physiological parameters. The evaluation process is as follows:

[0099] Parameter selection: Select physiological parameters related to pain response, such as heart rate, blood pressure, respiratory rate, skin conductance, etc.

[0100] Data collection: Use wearable devices or specialized monitoring equipment to collect patients’ physiological parameters in real time.

[0101] Data analysis: Compare the collected physiological parameters with normal values ​​and calculate the degree of deviation. The greater the deviation, the more serious the physiological impact of pain.

[0102] Score conversion: The degree of deviation of physiological parameters is converted into a score. For example, for every 10 beats / minute increase in heart rate, the score increases by 1 point, with a maximum of 10 points.

[0103] Comprehensive assessment: The scores of all physiological parameters are summed up to obtain the total score of PMS.

[0104] PMS provides objective data support for pain assessment and helps to more accurately understand the impact of pain on the patient's physiological state.

[0105] In step S4, the training content includes the operation method of each tool, the method of interpreting the scale score, and how to adjust the weight coefficient according to the specific situation of the patient. In addition, medical staff will also learn how to convert the evaluation results into an effective treatment plan;

[0106] In step S5, the patient completes the e-VAS self-assessment through a mobile device, reflecting the degree of pain through a simple sliding operation. The EIAS test does not require the patient to operate, and the system automatically captures and analyzes the patient's facial expressions. For the AIS, patients need to answer a series of questions to describe how the pain affects their daily life, such as sleep, work, leisure activities, etc.

[0107] In step S6, wearable devices are used to monitor the patient's physiological parameters. These devices can record heart rate, blood pressure, respiratory rate and other indicators in real time and transmit them to the electronic medical record system;

[0108] In step S9, the management knowledge includes the causes of pain, how to relieve pain, options for drug and non-drug treatments, etc. The education module can be accessed through a mobile app or web page to ensure that patients can access information at any time

[0109] In step S10, the patient is allowed to continue to participate in the pain management process after discharge and maintain communication with the medical team. The remote monitoring system will record the patient's report and integrate it into the electronic medical record for tracking and evaluation by medical staff. This marks the end of the entire pain level assessment process.

[0110] A pain level assessment system, the assessment system comprising a memory, a processor, and a pain level assessment method program stored on the processor, the pain level assessment method program when executed by the processor performs the following steps:

[0111] S1: First, define the purpose and type of assessment, accurately assess the pain level, dynamic changes, physiological effects, psychological state and quality of life, and provide data support for personalized treatment;

[0112] S2: Conducting separate measurements of various pain level assessment tools, including the enhanced visual analogue scale test, i.e., the e-VAS test, the emotion recognition aid scale test, i.e., the EIAS test, the activity interference scale test, i.e., the AIS test, and the physiological parameter monitoring scale test, i.e., the PMS test;

[0113] S3: The total pain score is then calculated using the following formula:

[0114] PS=α×e-VAS+β×EIAS+γ×AIS+δ×PMS;

[0115] in:

[0116] α, β, γ, δ are weight coefficients, determined based on expert opinions and statistical analysis, and their sum is 1

[0117] e-VAS is an enhanced visual analogue scale score ranging from 0 to 10.

[0118] EIAS is the Emotion Identification Assistance Scale score, ranging from 0 to 10.

[0119] AIS is the activity interference scale score, ranging from 0 to 10 points.

[0120] PMS is the physiological parameter monitoring scale score, 0-10 points, based on the abnormality of physiological parameters such as heart rate and blood pressure;

[0121] S4: Develop an assessment process and train medical staff: Train medical staff on the use of e-VAS, EIAS, AIS, and PMS, explaining the meaning of the weight coefficient and how to adjust it according to the patient's condition;

[0122] S5: Patients self-assess, with patients completing e-VAS self-assessment via mobile devices, EIAS automatically scored using facial recognition technology, and patients filling out AIS questionnaires to assess the interference of pain with daily activities;

[0123] S6: Perform physiological parameter monitoring and use wearable devices to monitor the patient's physiological parameters;

[0124] S7: The system automatically records the data and timestamp of each assessment. PS is calculated and the results are stored in the electronic medical record system;

[0125] S8: Personalize pain management and make dynamic adjustments. According to the PS results, formulate or adjust the pain management plan. Set a threshold. When the PS exceeds the threshold, the system automatically reminds medical staff to intervene.

[0126] S9: Set up a pain education module and provide online educational resources to help patients understand pain management knowledge.

[0127] S10: Remote monitoring and support. Through mobile applications or web pages, patients can remotely report pain conditions and receive treatment suggestions, and then the entire pain level assessment process can be completed.

[0128] In the present invention, by integrating multiple assessment tools, the patient's pain condition can be comprehensively and accurately assessed. The combined use of e-VAS, EIAS, AIS and PMS not only takes into account the intensity and physiological effects of pain, but also covers the impact of psychological state and quality of life, thereby providing medical staff with a multi-dimensional perspective on pain assessment. This comprehensiveness helps to avoid the limitations of a single assessment tool and ensure the comprehensiveness and accuracy of pain management. EIAS can capture emotional changes that are difficult for patients to express in words, while AIS reveals the specific impact of pain on patients' daily lives. This comprehensive assessment helps to develop a more personalized treatment plan and improve the pertinence and effectiveness of pain management.

[0129] In the present invention, by introducing digitalization and remote monitoring technology, the convenience and efficiency of pain management are greatly improved. The digital operation of e-VAS is simple and intuitive, and patients can easily complete self-assessment, while the remote monitoring system allows patients to continue to participate in pain management after discharge and maintain continuous communication with the medical team. This continuity and convenience not only improves the patient's treatment compliance, but also enables medical staff to adjust the treatment plan in time to cope with the dynamic changes in pain. In addition, the setting of the pain education module deepens the patient's understanding of pain management and improves the self-management ability, thereby improving the quality of pain management and the patient's quality of life as a whole. Therefore, this pain level evaluation method has significant beneficial effects in improving personalized treatment, optimizing patient experience, and enhancing treatment effects.

[0130] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprise" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0131] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating pain level, characterized by: The method comprises the following steps: S1: First, define the purpose and type of assessment, accurately assess the pain level, dynamic changes, physiological effects, psychological state and quality of life, and provide data support for personalized treatment; S2: Conduct separate measurements of various pain level assessment tools, including e-VAS test, EIAS test, AIS test and PMS test; S3: The total pain score is then calculated using the following formula: Total pain score = α × e-VAS + β × EIAS + γ × AIS + δ × PMS; in: α, β, γ, δ are weight coefficients, determined based on opinions and statistical analysis, and the sum is 1 e-VAS is an enhanced visual analog scale score, ranging from 0 to 10 points; EIAS is the Emotion Identification Aid Scale score, 0-10 points; AIS is the activity interference scale score, 0-10 points; PMS is the physiological parameter monitoring scale score, 0-10 points, based on the abnormality of heart rate and blood pressure physiological parameters; S4: Develop an assessment process and train medical staff: Train medical staff on the use of e-VAS, EIAS, AIS, and PMS, explaining the meaning of the weight coefficient and how to adjust it according to the patient's condition; S5: Patients self-assess, with patients completing e-VAS self-assessment via mobile devices, EIAS automatically scored using facial recognition technology, and patients filling out AIS questionnaires to assess the interference of pain with daily activities; S6: Perform physiological parameter monitoring and use wearable devices to monitor the patient's physiological parameters; S7: The system automatically records the data and timestamp of each assessment; calculates the total pain score and stores the result in the electronic medical record system; S8: Conduct personalized pain management and make dynamic adjustments. According to the total pain score, formulate or adjust the pain management plan; set a threshold. When the total pain score exceeds the threshold, the system automatically reminds medical staff to intervene. S9: Set up a pain education module and provide online educational resources to help patients understand pain management knowledge; S10: Remote monitoring and support. Through mobile applications or web pages, patients can remotely report their pain conditions and receive treatment suggestions, after which the entire pain level assessment process can be completed.

2. A method for evaluating pain level according to claim 1, characterized in that: In step S1, the medical team determines the specific direction of the evaluation based on the patient's specific situation, including pain type, medical history and treatment goals; for patients with chronic pain, the evaluation focuses more on the impact on quality of life, while for patients with acute pain, it focuses more on pain severity and physiological responses.

3. A method for evaluating pain level according to claim 1, characterized in that: In step S2, the EIAS test uses facial recognition technology to assist in assessing the patient's emotional state, and then infers the psychological impact of pain; the assessment process is as follows: Facial image acquisition: The patient's facial expressions are captured by a camera, and the system automatically performs the pain assessment while the patient is doing it; Emotional analysis: Use machine learning algorithms to analyze collected facial expressions and identify basic emotional states such as happiness, neutrality, sadness, and anger; Emotional score: Each emotional state corresponds to a score, and the system combines these scores to obtain an overall emotional score that reflects the patient's current emotional state; Linked pain assessment: Emotional scores are combined with scores from scales such as e-VAS to provide healthcare professionals with more comprehensive pain assessment information.

4. A method for evaluating pain level according to claim 1, characterized in that: In step S2, the process of AIS testing is as follows: Questionnaire design: Contains a series of statements about daily activities; Patients' answers: Patients rated each statement based on their own situation using a 0-10 rating system, with 0 representing "not affected at all" and 10 representing "completely affected"; Score calculation: The scores of all statements were added together to obtain a total score, or the average score was calculated to reflect the overall degree of interference of pain with activities; Interpretation of results: High scores indicate that pain affects the patient's daily life, suggesting that more active treatment measures are needed.

5. A method for evaluating pain level according to claim 1, characterized in that: In step S2, the evaluation process of the enhanced visual analog scale test is as follows: Patients are faced with a touch screen or mobile device interface that displays a horizontal line with the left side of the line marked as "no pain" (0) and the right side marked as "unbearable pain" (10). Patients are required to slide a mark on this line to indicate their current pain level. The specific steps in this process include: Introduction and instruction: The medical staff explains the use of e-VAS to the patient and ensures that the patient understands the pain level represented by the two ends of the line; Patient operation: Patients use the markers on the touch screen to slide the markers to the position that they think best represents the current pain level according to their pain sensation; Record score: The number corresponding to the marked position is the patient's pain score, and the system automatically records the score and timestamp; Dynamic tracking: e-VAS allows patients to make assessments at different time points in order to dynamically track changes in pain.

6. A method for evaluating pain level according to claim 1, characterized in that: In step S2, the evaluation process of the physiological parameter monitoring scale test is as follows: Parameter selection: Select physiological parameters related to pain response, including heart rate, blood pressure, respiratory rate, and skin conductance; Data collection: Use wearable devices or specialized monitoring equipment to collect patients’ physiological parameters in real time; Data analysis: Compare the collected physiological parameters with normal values ​​and calculate the degree of deviation. The greater the deviation, the more serious the physiological impact of pain. Score conversion: convert the deviation degree of physiological parameters into scores; Comprehensive assessment: The scores of all physiological parameters are summed up to obtain the total score of PMS.

7. A method for evaluating pain level according to claim 1, characterized in that: In step S4, the training content includes the operation method of each tool, the method of interpreting the scale score, and how to adjust the weight coefficient according to the specific situation of the patient; In step S5, the patient completes the e-VAS self-assessment through the mobile device and reflects the degree of pain by sliding operation; the EIAS test does not require the patient to operate, and the system automatically captures and analyzes the patient's facial expression.

8. A method for evaluating pain level according to claim 1, characterized in that: In step S6, the heart rate, blood pressure, and respiratory rate indicators are recorded in real time using a wearable device and transmitted to an electronic medical record system; In step S9, the management knowledge includes the causes of pain, how to relieve pain, and options for drug treatment and non-drug treatment; the education module is accessed through a mobile application or a web page to ensure that patients can obtain information at any time.

9. A method for evaluating pain level according to claim 1, characterized in that: In step S10, the remote monitoring system will record the patient's report and integrate it into the electronic medical record for tracking and evaluation by medical staff.

10. A pain level assessment system, characterized in that: The evaluation system includes a memory, a processor, and a pain level evaluation method program stored on the processor. When the pain level evaluation method program is run by the processor, the following steps are performed: S1: First, define the purpose and type of assessment, accurately assess the pain level, dynamic changes, physiological effects, psychological state and quality of life, and provide data support for personalized treatment; S2: Conduct separate measurements of multiple pain level assessment tools; S3: The total pain score is then calculated using the following formula: Total pain score = α × e-VAS + β × EIAS + γ × AIS + δ × PMS; in: α, β, γ, and δ are weight coefficients, determined based on opinions and statistical analysis, and their sum is 1; e-VAS is an enhanced visual analog scale score, ranging from 0 to 10 points; EIAS is the Emotion Identification Aid Scale score, 0-10 points; AIS is the activity interference scale score, 0-10 points; PMS is the physiological parameter monitoring scale score, 0-10 points, based on the abnormality of heart rate and blood pressure physiological parameters; S4: Develop an assessment process and train medical staff: Train medical staff on the use of e-VAS, EIAS, AIS, and PMS, explaining the meaning of the weight coefficient and how to adjust it according to the patient's condition; S5: Patients self-assess, with patients completing e-VAS self-assessment via mobile devices, EIAS automatically scored using facial recognition technology, and patients filling out AIS questionnaires to assess the interference of pain with daily activities; S6: Perform physiological parameter monitoring and use wearable devices to monitor the patient's physiological parameters; S7: The system automatically records the data and timestamp of each assessment; calculates the total pain score and stores the result in the electronic medical record system; S8: Conduct personalized pain management and make dynamic adjustments. According to the total pain score, formulate or adjust the pain management plan; set a threshold. When the total pain score exceeds the threshold, the system automatically reminds medical staff to intervene. S9: Set up a pain education module and provide online educational resources to help patients understand pain management knowledge; S10: Remote monitoring and support. Through mobile applications or web pages, patients can remotely report their pain conditions and receive treatment suggestions, after which the entire pain level assessment process can be completed.

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