Evaluation system for teaching effect of immediate care nursing based on music therapy

Abstract

The invention relates to the technical field of nursing teaching effect evaluation, and provides a music therapy-based immediate care nursing teaching effect evaluation system, which comprises a microprocessor and six modules connected with the microprocessor, and is characterized in that a music therapy knowledge base module stores related application theories and practical experience; the ultimate care nursing skill evaluation module obtains a nursing skill score through a theoretical assessment item; the music therapy application ability evaluation module obtains an application ability score through music feature analysis, patient demand evaluation and music matching ability evaluation; the patient feedback analysis module obtains a patient feedback score through comfort assessment, psychological state assessment and family member satisfaction survey; the teaching effect comprehensive evaluation module performs integration processing on the three scores, constructs a three-dimensional evaluation space and calculates a final teaching effect score through a nonlinear mapping function; the teaching improvement suggestion generation module generates targeted teaching improvement suggestions based on an intelligent reasoning algorithm of a knowledge graph.

Description

Technical Field

[0001] The present invention relates to the technical field of nursing teaching effect evaluation, and more specifically, to a hospice nursing teaching effect evaluation system based on music therapy. Background Art

[0002] As a non-drug treatment, music therapy can help relieve patients' psychological and physical discomfort through the emotional resonance of music and the regulation of physiological reactions, especially playing an important role in hospice care. Hospice care is mainly for patients in the last stage of life, aiming to relieve patients' pain and improve their quality of life through palliative treatment. In this process, music therapy can help patients relieve emotional problems such as anxiety and depression, and promote communication between patients and their families, helping them face the end of life with a more positive attitude. Therefore, music therapy has become an effective auxiliary treatment in hospice care.

[0003] In document 1 (Development and Evaluation of a Hospice and Palliative Care Music Therapy Education Program. The Korean Journal of Hospice and Palliative Care, 2020, 23 (1), 17-25), Kim et al. conducted a study to evaluate the application effect of music therapy in hospice care. The results showed that music therapy has a significant positive effect in alleviating patients' pain, relieving emotional stress, and improving their psychological state. Through the systematic application of music therapy, the quality of life of patients has been significantly improved, and the satisfaction of their families with the nursing effect has also been significantly improved. These research data prove the effectiveness and importance of the application of music therapy in hospice care, and provide a scientific basis for its further promotion in this field.

[0004] Among the existing technologies, the application of music therapy in hospice care has achieved certain results. However, the evaluation mechanism for how nurses can master the application of music therapy through teaching and training is still imperfect. As an important intervention method in hospice care, the effectiveness of music therapy depends not only on the therapy itself, but also on the skill level and application ability of nurses. Therefore, the evaluation of the teaching effect of music therapy for nurses is particularly important. Through effective evaluation, it can ensure that nurses can master and correctly apply music therapy in actual work, so as to better help patients relieve pain and improve the quality of care.

[0005] In document 2 (Hospice Administrators' Knowledge of Music Therapy: A Comparative Analysis of Surveys. Music Therapy Perspectives, 2004, 22 (2), 104-108), Hilliard conducted a survey and analysis of hospice managers' knowledge of music therapy, explored the current application status of music therapy in nursing, and revealed the imperfections of the current training system in hospice nursing in guiding and evaluating nursing staff's music therapy application skills. The data in the figure show that although managers have a high degree of awareness of music therapy, the proportion of music therapists actually employed is very low. These data show that although music therapy is accepted and applied in hospice nursing, the existing training system fails to effectively provide systematic guidance and evaluation of music therapy application skills, lacks a comprehensive teaching effect feedback mechanism, and makes it difficult for nursing staff to achieve the expected results in their ability to apply music therapy. The current evaluation system relies more on nursing staff's self-feedback and fails to fully combine the actual feedback of patients and nursing effects for comprehensive analysis, which limits the comprehensive understanding of teaching effects.

[0006] In order to solve the above problems, a technical solution is now provided. Summary of the invention

[0007] In order to overcome the above-mentioned defects of the prior art, the present invention provides a hospice nursing teaching effect evaluation system based on music therapy. By constructing a multidimensional evaluation module, applying a knowledge graph intelligent reasoning algorithm and a nonlinear mapping function, it realizes the evaluation of nursing staff's music therapy application ability, as well as identifying deficiencies and generating targeted improvement suggestions. It solves the problems of lack of effective evaluation mechanism in the existing teaching model, difficulty in identifying specific deficiencies and providing targeted improvement suggestions, and improves the application quality and consistency of music therapy in hospice care.

[0008] However, although these studies provide valuable references for the clinical application of music therapy and the improvement of nursing staff's skills, their evaluation methods are still more focused on the personal practice improvement of nursing staff, lacking a systematic quantitative evaluation mechanism, especially a closed-loop feedback system that combines patient feedback with teaching evaluation results in actual operations. This provides an opportunity for improvement in the innovative direction of this invention.

[0009] To achieve the above object, the present invention provides the following technical solutions:

[0010] A hospice nursing teaching effect evaluation system based on music therapy comprises a music therapy knowledge base module, a hospice nursing skill evaluation module, a music therapy application ability evaluation module, a patient feedback analysis module, a teaching effect comprehensive evaluation module and a teaching improvement suggestion generation module; the music therapy knowledge base module is connected with the teaching effect comprehensive evaluation module and the teaching improvement suggestion generation module; the hospice nursing skill evaluation module, the music therapy application ability evaluation module and the patient feedback analysis module are all connected with the teaching effect comprehensive evaluation module; the teaching effect comprehensive evaluation module is connected with the teaching improvement suggestion generation module; wherein the teaching effect comprehensive evaluation module is used for integrating and processing the data of the hospice nursing skill evaluation module, the music therapy application ability evaluation module and the patient feedback analysis module, constructing a three-dimensional evaluation space, calculating the position vector of the evaluation point, and obtaining the final teaching effect score through a nonlinear mapping function, comprising the following steps:

[0011] Step A1, standardize the raw data of the hospice nursing skills assessment module, the music therapy application ability assessment module and the patient feedback analysis module;

[0012] Step A2, construct a three-dimensional assessment space with standardized hospice nursing skill scores, music therapy application ability scores, and patient feedback scores as the three coordinate axes;

[0013] Step A3, calculating the position vector of the evaluation point in the three-dimensional space;

[0014] Step A4, according to the evaluation point position vector, use a nonlinear mapping function to calculate the final teaching effect score, the formula of the mapping function is:

[0015]

[0016] Among them, S is the teaching effectiveness score, x is the standardized hospice nursing skills score, y is the standardized music therapy application ability score, and z is the standardized patient feedback score.

[0017] The teaching improvement suggestion generation module is used to generate targeted teaching improvement suggestions based on the comprehensive evaluation results and the information in the music therapy knowledge base.

[0018] As a further solution of the present invention, the music therapy knowledge base module is used to store the application theory and practical experience of music therapy in hospice nursing teaching; the hospice nursing skills assessment module is used to evaluate the basic hospice nursing skills of nursing staff and obtain the hospice nursing skills scores of nursing staff; the music therapy application ability assessment module is used to evaluate the ability of nursing staff to apply music therapy to hospice nursing; the patient feedback analysis module is used to collect and analyze feedback information from terminally ill patients and their families who receive music therapy.

[0019] As a further solution of the present invention, a hospice nursing skills assessment module is used to set theoretical assessment items based on the theoretical knowledge of hospice nursing and music therapy to obtain a hospice nursing skills score.

[0020] As a further scheme of the present invention, a music therapy application ability assessment module includes a music feature analysis unit, a patient needs assessment unit and a music matching ability assessment unit, wherein the music feature analysis unit is used to collect music tracks to establish a standardized music library, and use the audio analysis library to extract features for each piece of music, including identifying the music type, extracting Mel-frequency cepstral coefficients and beats per minute, and using the Hevner emotional loop model to perform emotion annotation on each piece of music, and adding the extracted features and emotion annotations to the metadata of the music library; the patient needs assessment unit is used to design a virtual case for a hospice patient, the case including the patient's age, gender, cultural background, disease status, physiological condition, psychological state and music preference, and presets the music type, target emotion annotation and beats per minute range for each case, and creates corresponding music selection tasks based on the virtual case, each task requiring a caregiver to select music for a virtual patient from a standardized music library.

[0021] As a further solution of the present invention, the music matching ability evaluation unit is used to evaluate the ability of the nursing staff to select appropriate music according to the individual conditions of the patient, and the evaluation content includes the music type matching degree, the music emotion adaptation degree and the music rhythm adaptation degree, and includes the following steps:

[0022] Step B1, according to the patient's condition described in the case, the music type selected by the nursing staff is compared with the preset list of suitable music types to obtain a matching score, and the average matching score of all selected music is calculated as the music type matching degree;

[0023] Step B2, according to the patient's psychological state in the case, determine the target emotion, compare the emotion label of the music selected by the nursing staff with the target emotion to obtain a matching score, and calculate the average matching score of all selected music as the music emotion suitability score;

[0024] Step B3, according to the patient's physiological condition described in the case, and against the preset beats per minute range, the beats of the music selected by the nursing staff are compared with the beats per minute range to obtain a matching score, and the average score of all selected music is calculated as the music rhythm adaptation score;

[0025] Step B4, constructing a music therapy application ability evaluation model to evaluate the music therapy application ability of nursing staff, wherein the formula of the music therapy application ability evaluation model is:

[0026]

[0027] In the formula, y is the score of music therapy application ability, T is the score of music type matching, E is the score of music emotion adaptation, and R is the score of music rhythm adaptation;

[0028] Step B5, repeat the above steps to complete the evaluation of all designed cases and obtain the nursing staff's music therapy application ability score.

[0029] As a further scheme of the present invention, the patient feedback analysis module includes a comfort assessment unit, a psychological state assessment unit, a family satisfaction survey unit and a patient feedback assessment unit; the comfort assessment unit is used to apply a comfort status scale to score the patient's comfort after hospice care based on music therapy, and generate a comfort score; the psychological state assessment unit is used to evaluate the changes in the patient's psychological state before and after receiving music therapy, and to obtain a psychological state score based on the degree of anxiety, depression, sleep quality and quality of life; the family satisfaction survey unit is used to collect the patient's family satisfaction evaluation on the application effect of hospice care based on music therapy, and the survey content is based on the professional quality of nursing staff, the implementation process of music therapy and the patient comfort improvement design, to obtain a family satisfaction score.

[0030] As a further solution of the present invention, based on the scores obtained by the comfort evaluation unit, the psychological state evaluation unit and the family satisfaction survey unit, the patient feedback score is calculated, and the formula is:

[0031] z=w1×z comfort +w2×z mental +w3×z family

[0032] Among them, z is the total score of patient feedback, z comfort is the comfort score, z mental Score the psychological state, z family is the family satisfaction score, w1, w2, and w3 are the weight coefficients of the corresponding scores, and w1+w2+w3=1.

[0033] As a further solution of the present invention, the teaching improvement suggestion generation module adopts an intelligent reasoning algorithm based on the knowledge graph, which includes the following steps:

[0034] Step C1, constructing a knowledge graph of the application of music therapy in hospice nursing, the knowledge graph includes music feature nodes, hospice nursing skill nodes, patient feature nodes, music therapy application skill nodes and expected effect nodes and their relationships; the music feature nodes include music type, Mel frequency cepstral coefficients, beats per minute, and Hevner emotion loop model emotion labeling; the hospice nursing skill nodes include theoretical knowledge and assessment items; the patient feature nodes include age, gender, cultural background, disease status, physiological conditions, psychological state and music preference; the music therapy application skill nodes include music feature analysis, patient needs assessment and music matching, and the expected effect nodes involve comfort improvement, psychological state improvement and family satisfaction;

[0035] Step C2, based on the comprehensive evaluation results of teaching effectiveness, identify the deficiencies in nursing staff’s knowledge and skills, including analyzing the hospice nursing skill scores, music therapy application ability scores, and patient feedback scores, and marking areas that need improvement according to preset standards;

[0036] Step C3, searching the knowledge graph for nodes and relationships related to the deficiencies, including searching for theoretical knowledge nodes directly connected to the marked assessment items, searching for all directly connected nodes related to music feature analysis, patient needs assessment, and music matching ability, and searching for expected effect nodes directly related to comfort improvement, psychological state improvement, and family satisfaction, and their direct relationship with music therapy application skills;

[0037] Step C4, based on the relevant nodes and relationships, generates teaching improvement suggestions, and integrates the generated teaching improvement suggestions with the information in the music therapy knowledge base module, including associating each teaching improvement suggestion with the relevant application theory and practical experience in the knowledge base.

[0038] Compared with the prior art, the beneficial effects of the hospice nursing teaching effect evaluation system based on music therapy of the present invention are:

[0039] 1. The present invention designs a music therapy knowledge base module, a hospice nursing skill assessment module, a music therapy application ability assessment module, a patient feedback analysis module, a teaching effect comprehensive assessment module and a teaching improvement suggestion generation module. These modules are interconnected and data are interactive, providing all-round support from theory to practice, from skill assessment to patient feedback, from data analysis to personalized improvement suggestions for the training of nursing staff. By constructing a three-dimensional evaluation space, combined with standardized hospice nursing skill scores, music therapy application ability scores and patient feedback scores, the comprehensive teaching effect of nursing staff can be reflected. The final teaching effect score is calculated by a nonlinear mapping function, taking into account the interactive relationship between the dimensions to ensure that the score is more scientific and reasonable.

[0040] 2. This invention can intelligently identify the deficiencies of nursing staff in specific skills and application ability by analyzing the hospice nursing skill scores, music therapy application ability scores and patient feedback scores, and generate specific improvement suggestions using the knowledge graph reasoning algorithm. This closed-loop mechanism of teaching effect based on data feedback ensures the continuous optimization of teaching and training, and improves the actual ability of nursing staff to apply music therapy in hospice nursing. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a statistical chart of the cognition and application of music therapy in document 2.

[0042] Figure 2 The present invention is a structural schematic diagram of a hospice nursing teaching effect evaluation system based on music therapy.

[0043] In the figure,Return Rate: response rate,n: sample size,Are you familiar with MusicTherapy? (MT): Are you familiar with MusicTherapy? (MT),Yes: Yes,No: No,Do you currently Employ aMT? : Do you currently employ a music therapist? ,Have you ever employed a MT? : Have you ever employed a MT? ,If no,why not? : If no, what is the reason? ,Insufficient funds: Insufficient funds,Lack ofneed: Lack ofneed,No available MT: No available music therapist,Other: Other,If yes,but theprogram was discontinued,why? : If yes,but theprogram was discontinued, why? : Would you like to employ a MT? : Would you like to employ a music therapist? ,Uncertain: Uncertain,No response: No response,If you cannot employ a MT,why not? : If you cannot employ a music therapist, what is the reason? , Need more info.: Need more information., Unaware of reimbursement: Unclear reimbursement policy. DETAILED DESCRIPTION

[0044] 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. 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.

[0045] Example 1

[0046] A hospice nursing teaching effect evaluation system based on music therapy includes a music therapy knowledge base module, a hospice nursing skill evaluation module, a music therapy application ability evaluation module, a patient feedback analysis module, a teaching effect comprehensive evaluation module and a teaching improvement suggestion generation module.

[0047] The music therapy knowledge base module is used to store the application theory and practical experience of music therapy in hospice nursing teaching.

[0048] The hospice nursing skills assessment module is used to assess the basic hospice nursing skills of nursing staff and obtain the hospice nursing skills score of nursing staff.

[0049] The hospice nursing skills assessment module in the embodiment of the present invention is used to set theoretical assessment items based on the theoretical knowledge of hospice nursing and music therapy for assessment. 50 questions are set in the form of multiple-choice questions, each question is 2 points, to obtain the hospice nursing skills score.

[0050] The music therapy application ability assessment module is used to assess the nursing staff's ability to apply music therapy to hospice care.

[0051] The music therapy application ability assessment module in the embodiment of the present invention includes a music feature analysis unit, a patient needs assessment unit and a music matching ability assessment unit, wherein the music feature analysis unit is used to collect music tracks to establish a standardized music library, and use the audio analysis library to extract features for each piece of music, including identifying the music type, extracting Mel-frequency cepstral coefficients and beats per minute, and using the Hevner emotional loop model to perform emotion annotation on each piece of music, and adding the extracted features and emotion annotations to the metadata of the music library; the patient needs assessment unit is used to design a virtual case for a hospice patient, the case including the patient's age, gender, cultural background, disease status, physiological condition, psychological state and music preference, and presets the music type, target emotion annotation and beats per minute range for each case, and creates corresponding music selection tasks based on the virtual case, each task requiring a caregiver to select music for a virtual patient from a standardized music library.

[0052] The music matching ability evaluation unit in the embodiment of the present invention is used to evaluate the ability of the nursing staff to select appropriate music according to the individual conditions of the patient. The evaluation content includes the music type matching degree, the music emotion adaptation degree and the music rhythm adaptation degree, and includes the following steps:

[0053] Step B1, according to the patient's condition described in the case, the music type selected by the nursing staff is compared with the preset list of suitable music types to obtain a matching score, with a complete match being scored as 1 point, a partial match being scored as 0.5 points, and a mismatch being scored as 0 points, and the average matching score of all selected music being calculated as the music type matching degree;

[0054] Step B2, according to the patient's psychological state in the case, determine the target emotion, compare the emotion label of the music selected by the nursing staff with the target emotion to obtain a matching score, calculate the matching degree, and get 1 point for complete matching, 0.5 points for partial matching, and 0 points for no matching. Calculate the average matching score of all selected music as the music emotion suitability score;

[0055] Step B3, according to the patient's physiological condition described in the case, and against the preset beats per minute range, compare the beats of the music selected by the nursing staff with the beats per minute range to obtain a matching score. If the beats are within the range, 1 point is scored; otherwise, points are linearly deducted according to the degree of deviation, and the average score of all selected music is calculated as the music rhythm adaptation score;

[0056] Step B4, constructing a music therapy application ability evaluation model to evaluate the music therapy application ability of nursing staff, wherein the formula of the music therapy application ability evaluation model is:

[0057]

[0058] In the formula, y is the score of music therapy application ability, T is the score of music type matching, E is the score of music emotion adaptation, and R is the score of music rhythm adaptation;

[0059] Step B5, repeat the above steps to complete the evaluation of all designed cases and obtain the nursing staff's music therapy application ability score.

[0060] The patient feedback analysis module is used to collect and analyze feedback information from terminally ill patients and their families who receive music therapy.

[0061] The patient feedback analysis module in the embodiment of the present invention includes a comfort assessment unit, a psychological state assessment unit, a family satisfaction survey unit and a patient feedback assessment unit; the comfort assessment unit is used to apply a comfort status scale to score the patient's comfort after hospice care based on music therapy, and generate a comfort score; the psychological state assessment unit is used to evaluate the patient's psychological state changes before and after receiving music therapy, and evaluate based on the degree of anxiety, depression, sleep quality and quality of life to obtain a psychological state score; the family satisfaction survey unit is used to collect the patient's family satisfaction evaluation on the application effect of hospice care based on music therapy, and the survey content is based on the professional quality of nursing staff, the implementation process of music therapy and the patient's comfort improvement design to obtain a family satisfaction score.

[0062] In the embodiment of the present invention, based on the scores obtained by the comfort evaluation unit, the psychological state evaluation unit and the family satisfaction survey unit, the patient feedback score is calculated and the formula is:

[0063] z=w1×z comfort +w2×z mental +w3×z family

[0064] Among them, z is the total score of patient feedback, z comfort is the comfort score, z mental Score the psychological state, z family is the family satisfaction score, w1, w2, and w3 are the weight coefficients of the corresponding scores, and w1+w2+w3=1.

[0065] The comprehensive teaching effect evaluation module is used to integrate and process the data of the hospice nursing skills evaluation module, the music therapy application ability evaluation module and the patient feedback analysis module. It constructs a three-dimensional evaluation space, calculates the position vector of the evaluation point, and obtains the final teaching effect score through a nonlinear mapping function.

[0066] The teaching effect comprehensive evaluation module in the embodiment of the present invention includes the following steps:

[0067] Step A1, standardize the raw data of the hospice nursing skills assessment module, the music therapy application ability assessment module and the patient feedback analysis module;

[0068] Step A2, construct a three-dimensional assessment space with standardized hospice nursing skill scores, music therapy application ability scores, and patient feedback scores as the three coordinate axes;

[0069] Step A3, calculating the position vector of the evaluation point in the three-dimensional space;

[0070] Step A4, according to the evaluation point position vector, use a nonlinear mapping function to calculate the final teaching effect score, the formula of the mapping function is:

[0071]

[0072] Among them, S is the teaching effectiveness score, x is the standardized hospice nursing skills score, y is the standardized music therapy application ability score, and z is the standardized patient feedback score.

[0073] The teaching improvement suggestion generation module generates targeted teaching improvement suggestions based on the comprehensive evaluation results and the information in the music therapy knowledge base.

[0074] The teaching improvement suggestion generation module in the embodiment of the present invention adopts an intelligent reasoning algorithm based on a knowledge graph, which includes the following steps:

[0075] Step C1, constructing a knowledge graph of the application of music therapy in hospice nursing, the knowledge graph includes music feature nodes, hospice nursing skill nodes, patient feature nodes, music therapy application skill nodes and expected effect nodes and their relationships; the music feature nodes include music type, Mel frequency cepstral coefficients, beats per minute, and Hevner emotion loop model emotion labeling; the hospice nursing skill nodes include theoretical knowledge and assessment items; the patient feature nodes include age, gender, cultural background, disease status, physiological conditions, psychological state and music preference; the music therapy application skill nodes include music feature analysis, patient needs assessment and music matching, and the expected effect nodes involve comfort improvement, psychological state improvement and family satisfaction;

[0076] Step C2, based on the comprehensive evaluation results of teaching effectiveness, identify the deficiencies in nursing staff’s knowledge and skills, including analyzing the hospice nursing skill scores, music therapy application ability scores, and patient feedback scores, and marking areas that need improvement according to preset standards;

[0077] Step C3, searching the knowledge graph for nodes and relationships related to the deficiencies, including searching for theoretical knowledge nodes directly connected to the marked assessment items, searching for all directly connected nodes related to music feature analysis, patient needs assessment, and music matching ability, and searching for expected effect nodes directly related to comfort improvement, psychological state improvement, and family satisfaction, and their direct relationship with music therapy application skills;

[0078] Step C4: Generate teaching improvement suggestions based on relevant nodes and relationships, and integrate the generated teaching improvement suggestions with the information in the music therapy knowledge base module, including associating each teaching improvement suggestion with relevant application theories and practical experiences in the knowledge base.

[0079] The relationships between music feature nodes in the embodiment of the present invention include: "belongs to" relationship: Mel frequency cepstral coefficients and beats per minute belong to a specific music type; "corresponds to" relationship: a specific music type corresponds to a specific Hevner emotion loop model emotion label.

[0080] The relationships between hospice nursing skill nodes in the embodiment of the present invention include: "assessment" relationship: the assessment items assess specific theoretical knowledge.

[0081] The relationship between the patient feature node and the music feature node in the embodiment of the present invention includes a "suitability" relationship: a specific age, cultural background, and disease state are suitable for a specific music type; an "influence" relationship: the patient's physiological condition and psychological state affect the suitable range of beats per minute.

[0082] The relationship between the music therapy application skill node and other nodes in the embodiment of the present invention includes:

[0083] "Apply" relationship: music feature analysis is applied to music feature nodes; "Evaluate" relationship: patient needs assessment evaluates patient feature nodes; "Match" relationship: music matching matches music feature nodes with patient feature nodes.

[0084] The relationship between the expected effect node and other nodes in the embodiment of the present invention includes: "improvement" relationship: specific music therapy application skills improve specific expected effects; "influence" relationship: patient characteristics affect the expected effect.

[0085] The relationship between the hospice nursing skill node and the music therapy application skill node in the embodiment of the present invention includes: "support" relationship: specific theoretical knowledge supports specific music therapy application skills.

[0086] 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.

[0087] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A hospice nursing teaching effect evaluation system based on music therapy, comprising a music therapy knowledge base module, a hospice nursing skill evaluation module, a music therapy application ability evaluation module, a patient feedback analysis module, a teaching effect comprehensive evaluation module and a teaching improvement suggestion generation module; characterized in that, The music therapy knowledge base module is connected with the teaching effect comprehensive evaluation module and the teaching improvement suggestion generation module; the hospice nursing skill evaluation module, the music therapy application ability evaluation module and the patient feedback analysis module are all connected with the teaching effect comprehensive evaluation module; the teaching effect comprehensive evaluation module is connected with the teaching improvement suggestion generation module; among them, the teaching effect comprehensive evaluation module is used to integrate and process the data of the hospice nursing skill evaluation module, the music therapy application ability evaluation module and the patient feedback analysis module, and calculate the position vector of the evaluation point by constructing a three-dimensional evaluation space, and obtain the final teaching effect score through a nonlinear mapping function, including the following steps: Step A1, standardize the raw data of the hospice nursing skills assessment module, the music therapy application ability assessment module and the patient feedback analysis module; Step A2, construct a three-dimensional assessment space with standardized hospice nursing skill scores, music therapy application ability scores, and patient feedback scores as the three coordinate axes; Step A3, calculating the position vector of the evaluation point in the three-dimensional space; Step A4, according to the evaluation point position vector, use a nonlinear mapping function to calculate the final teaching effect score, the formula of the mapping function is: Among them, S is the teaching effect score, x is the standardized hospice nursing skill score, y is the standardized music therapy application ability score, and z is the standardized patient feedback score; The teaching improvement suggestion generation module is used to generate targeted teaching improvement suggestions based on the comprehensive evaluation results and the information in the music therapy knowledge base.

2. A hospice nursing teaching effect evaluation system based on music therapy according to claim 1, characterized in that: The music therapy knowledge base module is used to store the application theory and practical experience of music therapy in hospice nursing teaching; the hospice nursing skills assessment module is used to assess the basic hospice nursing skills of nursing staff and obtain the hospice nursing skills scores of nursing staff; the music therapy application ability assessment module is used to assess the ability of nursing staff to apply music therapy to hospice nursing; The patient feedback analysis module is used to collect and analyze feedback information from terminally ill patients and their families who receive music therapy.

3. A hospice nursing teaching effect evaluation system based on music therapy according to claim 1, characterized in that: The hospice nursing skills assessment module is used to set theoretical assessment items based on the theoretical knowledge of hospice nursing and music therapy to obtain hospice nursing skills scores.

4. A hospice nursing teaching effect evaluation system based on music therapy according to claim 1, characterized in that: The music therapy application capability assessment module includes a music feature analysis unit, a patient needs assessment unit and a music matching capability assessment unit, wherein the music feature analysis unit is used to collect music tracks to establish a standardized music library, and use the audio analysis library to extract features for each piece of music, including identifying the music type, extracting Mel-frequency cepstral coefficients and beats per minute, and using the Hevner emotional loop model to perform emotion annotation on each piece of music, and adding the extracted features and emotion annotations to the metadata of the music library; the patient needs assessment unit is used to design virtual cases for hospice patients, the cases including the patient's age, gender, cultural background, disease status, physiological condition, psychological state and music preference, and preset the music type, target emotion annotation and beats per minute range for each case, and create corresponding music selection tasks based on the virtual cases, each task requiring caregivers to select music for virtual patients from the standardized music library.

5. A hospice nursing teaching effect evaluation system based on music therapy according to claim 1 or 4, characterized in that: The music matching ability assessment unit is used to assess the ability of nursing staff to select appropriate music according to the individual conditions of patients. The assessment content includes the matching degree of music type, the matching degree of music emotion and the matching degree of music rhythm, and includes the following steps: Step B1, according to the patient's condition described in the case, the music type selected by the nursing staff is compared with the preset list of suitable music types to obtain a matching score, and the average matching score of all selected music is calculated as the music type matching degree; Step B2, according to the patient's psychological state in the case, determine the target emotion, compare the emotion label of the music selected by the nursing staff with the target emotion to obtain a matching score, and calculate the average matching score of all selected music as the music emotion suitability score; Step B3, according to the patient's physiological condition described in the case, and against the preset beats per minute range, compare the beats of the music selected by the nursing staff with the beats per minute range to obtain a matching score, and calculate the average score of all selected music as the music rhythm adaptation score; Step B4, constructing a music therapy application ability evaluation model to evaluate the music therapy application ability of nursing staff, wherein the formula of the music therapy application ability evaluation model is: In the formula, y is the score of music therapy application ability, T is the score of music type matching, E is the score of music emotion adaptation, and R is the score of music rhythm adaptation; Step B5, repeat the above steps to complete the evaluation of all designed cases and obtain the nursing staff's music therapy application ability score.

6. A hospice nursing teaching effect evaluation system based on music therapy according to claim 1, characterized in that: The patient feedback analysis module includes a comfort evaluation unit, a psychological state evaluation unit, a family satisfaction survey unit and a patient feedback evaluation unit; the comfort evaluation unit is used to score the comfort of the patient after the hospice care based on music therapy using a comfort status scale to generate a comfort score; The psychological state assessment unit is used to evaluate the changes in the patient's psychological state before and after receiving music therapy. It is based on the level of anxiety, depression, sleep quality and quality of life to obtain a psychological state score. The family satisfaction survey unit is used to collect the patient's family's satisfaction evaluation on the application effect of hospice care based on music therapy. The survey content is based on the professional quality of nursing staff, the implementation process of music therapy and the design of improving patient comfort, to obtain a family satisfaction score.

7. A hospice nursing teaching effect evaluation system based on music therapy according to claim 1 or 6, characterized in that: Based on the scores obtained from the comfort assessment unit, psychological state assessment unit, and family satisfaction survey unit, the patient feedback score was calculated using the following formula: w1×w comfort +w2×z mental +w3×z family Among them, z is the total score of patient feedback, z comfort is the comfort score, z mental Score the psychological state, z family is the family satisfaction score, w1, w2, and w3 are the weight coefficients of the corresponding scores, and w1+w2+w3=1.

8. The hospice nursing teaching effect evaluation system based on music therapy according to claim 1 is characterized in that: The teaching improvement suggestion generation module adopts an intelligent reasoning algorithm based on knowledge graph, which includes the following steps: Step C1, constructing a knowledge graph of the application of music therapy in hospice nursing, the knowledge graph includes music feature nodes, hospice nursing skill nodes, patient feature nodes, music therapy application skill nodes and expected effect nodes and their relationships; the music feature nodes include music type, Mel frequency cepstral coefficients, beats per minute, and Hevner emotion loop model emotion labeling; the hospice nursing skill nodes include theoretical knowledge and assessment items; the patient feature nodes include age, gender, cultural background, disease status, physiological conditions, psychological state and music preference; the music therapy application skill nodes include music feature analysis, patient needs assessment and music matching, and the expected effect nodes involve comfort improvement, psychological state improvement and family satisfaction; Step C2, based on the comprehensive evaluation results of teaching effectiveness, identify the deficiencies in nursing staff’s knowledge and skills, including analyzing the hospice nursing skill scores, music therapy application ability scores, and patient feedback scores, and marking areas that need improvement according to preset standards; Step C3, searching the knowledge graph for nodes and relationships related to the deficiencies, including searching for theoretical knowledge nodes directly connected to the marked assessment items, searching for all directly connected nodes related to music feature analysis, patient needs assessment, and music matching ability, and searching for expected effect nodes directly related to comfort improvement, psychological state improvement, and family satisfaction, and their direct relationship with music therapy application skills; Step C4, based on the relevant nodes and relationships, generates teaching improvement suggestions, and integrates the generated teaching improvement suggestions with the information in the music therapy knowledge base module, including associating each teaching improvement suggestion with the relevant application theory and practical experience in the knowledge base.

Images