A computer system and evaluation method for providing a medical privacy protection evaluation form

Abstract

The present invention provides a computer system for providing a medical privacy protection evaluation form, including a memory and a processor. The memory stores computer executable instructions, and the processor executes the computer executable instructions to provide a medical privacy protection evaluation form: a first evaluation item including threat assessment, response assessment, support assessment, and ethical assessment in four dimensions, namely, cognitive mediation, to evaluate the cognition of privacy protection behavior, a second evaluation item including the formation of privacy awareness, namely, privacy protection motivation, to evaluate whether there is privacy protection awareness, and a third evaluation item including patient-related privacy protection behavior, patient body protection behavior, and patient information privacy protection behavior in three dimensions, namely, privacy protection behavior, to evaluate whether privacy protection behavior has been performed.

Description

Technical Field

[0001] The present invention relates to the field of privacy protection technology, and in particular to a computer system and an evaluation method for providing a medical privacy protection evaluation form. Background Art

[0002] With the development of big data, artificial intelligence technology, and Internet 5G technology, data monitoring, sharing, mining, and prediction behaviors have not only brought opportunities to all walks of life, but also brought risks of privacy leakage. For the medical industry, the development of these technologies has enabled the level of information construction in the medical field to be continuously improved, which can gradually and effectively improve the current situation of uneven medical resources.

[0003] However, in the medical field, medical data is usually highly private, highly sensitive, and highly valuable. The user's health data, diagnosis and treatment activity data, etc. in the medical data can be regarded as medical privacy. Once such medical privacy is leaked or improperly used, it will cause huge losses and harm to individuals and / or related institutions. Therefore, the protection of medical privacy is crucial.

[0004] Medical privacy protection can be addressed from two aspects: one is to build a complete data protection system or method, such as encrypting data storage and transmission, and the other is to improve the privacy protection awareness of medical staff and / or patients themselves. Currently, there are a large number of systems and methods that can achieve data encryption, but there is relatively little research on privacy protection awareness and behavior. Summary of the invention

[0005] In order to evaluate the awareness of medical staff and / or medical institutions on patient privacy protection, the present invention provides a computer system for providing a medical privacy protection evaluation form, which includes:

[0006] a memory having computer executable instructions stored thereon; and

[0007] A processor configured to execute the computer executable instructions to perform the following method steps:

[0008] Providing a first evaluation item, the first evaluation item includes cognitive mediation, which is used to evaluate the cognition of privacy protection behavior, including four dimensions: threat assessment, response assessment, support assessment, and ethical assessment;

[0009] providing a second evaluation item, the second evaluation item including privacy protection motivation, which is used to evaluate whether there is privacy protection awareness, including the formation of a dimension of privacy awareness; and

[0010] A third evaluation item is provided, which includes privacy protection behavior, which is used to evaluate whether privacy protection behavior has been performed, including three dimensions: patient-related privacy protection behavior, patient body protection behavior, and patient information privacy protection behavior.

[0011] Furthermore, each dimension includes at least one measurement variable.

[0012] Further, the threat assessment includes four measurement variables: severity, susceptibility, internal reporting, and external reporting; and / or

[0013] The coping assessment includes three measurement variables: self-efficacy, response efficacy, and response cost; and / or

[0014] The support assessment includes four measurement variables: supervisory support, information support, normative support and environmental support; and / or

[0015] The ethical assessment includes three measurement variables: sense of responsibility, professional ethics, and empathy.

[0016] Furthermore, each measurement variable includes at least one measurement item.

[0017] Furthermore, there is a parallel or progressive relationship between the measurement items in each measurement variable.

[0018] Another aspect of the present invention provides a method for evaluating medical privacy protection, comprising:

[0019] Forming a medical privacy protection evaluation form, wherein the medical privacy protection evaluation form includes a first evaluation item, a second evaluation item, and a third evaluation item;

[0020] The computer system provides a first evaluation item to the user and obtains first evaluation data from the user, wherein the first evaluation item includes cognitive mediation, which is configured to evaluate cognition of privacy protection behavior, including four dimensions of threat assessment, response assessment, support assessment, and ethical assessment;

[0021] The computer system provides a second evaluation item to the user and obtains second evaluation data from the user, wherein the second evaluation item includes a privacy protection motivation, which is configured to evaluate whether there is a privacy protection awareness, including that the privacy awareness forms a dimension;

[0022] The computer system provides a third evaluation item to the user and obtains third evaluation data from the user, wherein the third evaluation item includes privacy protection behavior, which is configured to evaluate whether the privacy protection behavior is performed, including three dimensions of patient-related privacy protection behavior, patient body protection behavior, and patient information privacy protection behavior; and

[0023] The computer generates the evaluation result based on the comparison table according to the first, second and third evaluation data.

[0024] Furthermore, a medical privacy protection evaluation form is formed, including:

[0025] Conduct semi-structured interviews and generate interview records;

[0026] Based on the interview records, we used grounded theory to conduct coding analysis, extract the scope and logical relationship of adaptability measurement of medical privacy protection, and then build a theoretical model framework and determine the evaluation dimensions;

[0027] Determining measurement variables based on the assessment dimensions; and

[0028] The measurement variables are expanded into items to form an evaluation form.

[0029] Further, generating the evaluation result by the computer based on the comparison table according to the first, second and third evaluation data includes:

[0030] The computer searches the comparison table for scores associated with the first to third evaluation data to determine the first to third scores respectively; and

[0031] The evaluation result is determined by a computer based on the first to third scores.

[0032] Furthermore, the interviewees of the semi-structured interview were selected using a theoretical sampling method.

[0033] Furthermore, the content of the semi-structured interview was formed according to the protection motivation theory.

[0034] Furthermore, the interview records include personal in-depth interview records and focus group interview records.

[0035] Furthermore, the forming method further comprises:

[0036] The Delphi method was used to optimize the evaluation form.

[0037] Furthermore, the forming method further comprises:

[0038] According to the evaluation form, a questionnaire is formed;

[0039] Conduct a sampling survey using the questionnaire to obtain questionnaire results;

[0040] Based on the questionnaire results, the reliability and validity of the evaluation form were verified:

[0041] If the preset requirements are met, the evaluation form will be used as the final medical privacy protection evaluation form; and

[0042] If the preset requirements are not met, the evaluation form is optimized until its reliability and validity meet the preset requirements.

[0043] Furthermore, the reliability and validity verification includes:

[0044] Performing a sphericity check on the questionnaire results and virtuality to determine whether the assessment form is suitable for exploratory factor analysis; and / or

[0045] A confirmatory factor analysis is performed on the subordinate structure of the items in the assessment form to confirm whether the subordinate relationship between the items and the extracted factors is correct.

[0046] The present invention provides a computer system and evaluation method for providing a medical privacy protection evaluation form. The computer system can evaluate the privacy protection behavior and awareness of medical staff from multiple dimensions according to the medical privacy protection evaluation form, and has high reliability and validity. It is an evaluation tool that can adaptively measure the medical staff's medical privacy protection. The evaluation method fills the gap in existing research on medical privacy protection behavior. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] To further illustrate the above and other advantages and features of various embodiments of the present invention, a more specific description of various embodiments of the present invention will be presented with reference to the accompanying drawings. It will be understood that these drawings only depict typical embodiments of the present invention and are therefore not to be considered as limiting the scope thereof. In the accompanying drawings, for clarity, identical or corresponding parts will be represented by identical or similar reference numerals.

[0048] Figure 1 A schematic diagram showing a flow chart of a method for forming a medical privacy protection evaluation form according to an embodiment of the present invention; and

[0049] Figure 2 A schematic diagram of a confirmatory factor analysis measurement model of a medical privacy protection evaluation form according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0050] In the following description, the present invention is described with reference to various embodiments. However, those skilled in the art will recognize that various embodiments may be implemented without one or more specific details or with other replacement and / or additional methods. In other cases, well-known methods or operations are not shown or described in detail to avoid obscuring the inventive point of the present invention. Similarly, for the purpose of explanation, specific configurations are set forth to provide a comprehensive understanding of embodiments of the present invention. However, the present invention is not limited to these specific details.

[0051] In this specification, reference to "one embodiment" or "the embodiment" means that a particular feature, structure, or characteristic described in conjunction with the embodiment is included in at least one embodiment of the present invention. The phrase "in one embodiment" appearing in various places in this specification does not necessarily all refer to the same embodiment.

[0052] It should be noted that the embodiments of the present invention describe the method steps in a specific order, but this is only for the purpose of illustrating the specific embodiment, rather than limiting the order of the steps. On the contrary, in different embodiments of the present invention, the order of the steps can be adjusted according to actual needs.

[0053] In view of the lack of research and evaluation methods for medical privacy protection behavior in existing studies, the present invention provides a computer system for providing a medical privacy protection evaluation form, which includes a memory and a processor, wherein the memory stores computer executable instructions, and the processor can execute the computer executable instructions to implement medical privacy protection evaluation. Specifically, the computer system can provide at least one evaluation item, and the evaluation items constitute a medical privacy protection evaluation form. The medical privacy protection evaluation form can evaluate the medical privacy protection behavior awareness of medical staff from different dimensions such as cognition, consciousness formation, and behavior. In one embodiment of the present invention, doctors in Chinese public medical institutions are used as evaluation objects, and the processor can, for example, execute the following method steps:

[0054] Providing a first evaluation item, the first evaluation item includes cognitive mediation, which is used to evaluate the cognition of privacy protection behavior, including four dimensions: threat assessment, response assessment, support assessment, and ethical assessment;

[0055] providing a second evaluation item, the second evaluation item including privacy protection motivation, which is used to evaluate whether there is privacy protection awareness, including the formation of a dimension of privacy awareness; and

[0056] A third evaluation item is provided, which includes privacy protection behavior, which is used to evaluate whether privacy protection behavior has been performed, including three dimensions: patient-related privacy protection behavior, patient body protection behavior, and patient information privacy protection behavior.

[0057] The first, second and third evaluation items constitute a complete medical privacy protection evaluation form. Figure 1 A schematic diagram showing a flow chart of a method for forming a medical privacy protection evaluation form according to an embodiment of the present invention. Figure 1 As shown, a method for forming a medical privacy protection evaluation form includes:

[0058] First, in step 101, a semi-structured interview is conducted. The original data is obtained by means of a semi-structured interview. Specifically, in one embodiment of the present invention, an interview outline is initially formed based on the Protection Motivation Theory (PMT). The interview outline is a rough outline, which has only a rough basic requirement for the conditions of the interviewee and the questions to be asked. Then, according to the interview outline, representative subjects are selected for interviews through methods such as theoretical sampling. During the interview, the way and sequence of questions, the way of answering, the way of recording the interview, and the time and place of the interview can be flexibly adjusted according to the actual situation of the interview. In one embodiment of the present invention, doctors from public medical institutions in China are used as interviewees. In order to ensure the quality of the interview, a 4-person interview working group is formed to track the entire interview. At the same time, two interview forms, personal in-depth interview and focus group interview, are mainly used, forming personal in-depth interview records and focus group interview records, forming the original data for grounded theory coding analysis; it should be understood that in other embodiments of the present invention, the interview outline, form, etc. can also be adjusted for different interviewees;

[0059] Next, in step 102, a theoretical model framework is formed. Based on the original data, a programmatic grounded theory method is used for coding analysis to extract the scope of adaptive measurement of medical privacy protection and explore the logical relationship between them, thereby forming a theoretical model framework. In one embodiment of the present invention, doctors in Chinese public medical institutions are used as evaluation objects. The theoretical model framework of medical privacy protection behavior of medical staff in Chinese public medical institutions formed according to the method described above mainly includes three modules: cognitive mediation, privacy protection motivation and privacy protection behavior. The cognitive mediation is mainly used to evaluate the cognition of privacy protection behavior, which includes, for example, four dimensions: threat assessment, response assessment, support assessment and ethical assessment. The privacy protection motivation is used to evaluate whether medical staff have awareness of protecting patient medical privacy, which mainly includes the dimension of privacy awareness formation. The privacy protection behavior is used to evaluate whether medical staff have currently taken protective behaviors for patient medical privacy, mainly including three dimensions: patient-related privacy protection behavior, patient body protection behavior and patient information privacy protection behavior; it should be understood that in other embodiments of the present invention, different theoretical model frameworks may also be obtained for different evaluation objects;

[0060] Next, in step 103, the measurement variables are determined. The measurement variables are determined based on the evaluation dimensions. Specifically, the theoretical model framework obtained in step 102 is further refined to determine the measurement variables. Usually, each dimension corresponds to at least one measurement variable. In one embodiment of the present invention, doctors in Chinese public medical institutions are used as evaluation objects, and the cognitive mediation, privacy protection motivation and privacy protection behavior are further refined into 18 measurement variables. Specifically, the threat assessment is refined into 4 measurement variables: severity, susceptibility, internal reporting and external rewards, the response assessment is refined into 3 measurement variables: self-efficacy, response efficacy and response cost, the support assessment is refined into 4 measurement variables: supervisory support, information support, normative support and environmental support, and the ethical assessment is refined into 3 measurement variables: sense of responsibility, professional ethics and empathy. Privacy protection motivation and privacy protection behavior are not further refined, but it should be understood that in other embodiments of the present invention, different measurement variables can be formed for different evaluation objects; and

[0061] Next, in step 104, an evaluation form is formed. The measurement variables are expanded into items to form an evaluation form. Specifically, descriptive statements are formed according to the measurement variables determined in step 103 to describe the measurement variables. Generally, each measurement variable should correspond to at least one item. When there are multiple items, the multiple items can be in a submitted or parallel relationship. In one embodiment of the present invention, in order to make the evaluation form reasonable and accurate, the evaluation form can also be optimized by methods such as the Delphi method. Specifically, the evaluation form is sent to several industry experts and the opinions of the experts are obtained. Then, the form is adjusted, summarized and revised according to the opinions of the experts, and then anonymously fed back to the experts, and opinions are again solicited, concentrated, and fed back until a consensus is reached. After optimization by the Delphi method, the language expression of the items can be made more accurate and clear. In addition, on this basis, group discussions can be further organized, and relevant personnel can be organized to discuss the contents of the evaluation form freely in the form of seminars, etc., and the opinions and suggestions given in the group discussions are recorded and adopted as appropriate, so that the content of the items is more scientific and reasonable.

[0062] In addition, in one embodiment of the present invention, the measurement table can be further optimized by confirmatory factor and exploratory factor analysis. Specifically, Figure 1 As shown, the forming method may further include the following optional steps:

[0063] First, in step 105, a questionnaire is formed. Based on the evaluation form, basic personal information such as the gender and department of the subject of the survey is added to form a questionnaire;

[0064] Next, in step 106, reliability and validity are verified. A convenient sampling survey is conducted using the questionnaire, and the questionnaire results are collected. Based on the questionnaire results, the reliability and validity of the evaluation form are verified. If the reliability and validity meet the preset requirements, the evaluation form is used as the final medical privacy protection evaluation form. If it does not meet the preset requirements, step 107 is entered to optimize the evaluation form until its reliability and validity meet the preset requirements. In one embodiment of the present invention, the reliability and validity verification includes Exploratory Factor Analysis (EFA) and Confirmative Factor Analysis (CFA). Specifically, the Kaiser-Meyer-Olkin (KMO) and Bartlett sphericity tests are performed on the questionnaire results to determine whether the assessment form is suitable for exploratory factor analysis (EFA). If it is suitable, reliability evaluation is then performed, such as using Chronbach's α coefficient, and then using variance maximization rotation to perform principal component analysis on the assessment form, and using Kaiser normalization maximum variance method to rotate until convergence. On the basis of the above, confirmatory factor analysis (CFA) is further performed on the subordinate structure of each item of the assessment form, and the chi-square ratio of degrees of freedom χ 2 / df, root mean square of approximate error (RMSEA), root mean square of standard residual (SRMR), comparative fit index (CFI), and non-normal fitting index (TLI) to confirm whether the subordinate relationship between each item in the assessment scale and the extracted factors is correct, and whether there is no problem of erroneous attribution to unrelated dimensions; and

[0065] In step 107, the evaluation form is optimized. If the reliability and validity of the evaluation form do not meet the preset requirements, the evaluation form needs to be optimized, including but not limited to adjusting the number of items, adjusting the language description of the items, etc.

[0066] In one embodiment of the present invention, according to the above method, doctors in Chinese public medical institutions are used as evaluation objects, and finally a medical privacy protection evaluation form as shown in Table 1 is formed. As shown in Table 1, the medical privacy protection evaluation form includes 63 measurement items corresponding to 18 measurement variables. The reliability and validity of the evaluation form are verified, and the results are as follows:

[0067] According to the results of KMO and Bartlett's sphericity test, the minimum value of Chronbach's α coefficient of each variable of the evaluation scale is 0.754, and KMO>0.6, which proves that the evaluation scale has good convergent validity and internal consistency;

[0068] The results of exploratory factor analysis (EFA) showed that the overall Chronbach's α coefficient of the assessment scale was 0.768, between 0.6 and 0.8, indicating that the assessment scale had good internal consistency; and

[0069] The confirmatory factor analysis (CFA) results showed that the standard factor loading values ​​of the measurement items of each latent variable were all greater than 0.5, the CR values ​​were all greater than 7, the CR values ​​were all greater than 0.7, and the AVE values ​​were all above 0.5; Figure 2 A schematic diagram of a confirmatory factor analysis measurement model of a medical privacy protection evaluation form according to an embodiment of the present invention is shown. In the figure, the ellipse represents the latent variable, that is, the measurement variable in the evaluation form, the rectangle represents the item corresponding to each measurement variable, and e1-e63 represents the error term of each item. It can be seen that the confirmatory factor model of the evaluation form has a good fit, and each item in the evaluation form can effectively converge to the corresponding latent variable.

[0070]

[0071] Table 1

[0072] Based on the computer system as described above, in one embodiment of the present invention, the evaluation of medical privacy protection includes the following steps:

[0073] First, a medical privacy protection evaluation form is formed according to the method described above, wherein the medical privacy protection evaluation form includes the first evaluation item, the second evaluation item, and the third evaluation item described above;

[0074] Next, the computer system provides the user with a first evaluation item and obtains first evaluation data from the user, wherein the first evaluation item includes cognitive mediation, which is used to evaluate the medical staff's cognition of the patient's medical privacy protection behavior, including four dimensions: threat assessment, response assessment, support assessment, and ethical assessment;

[0075] Next, the computer system provides the user with a second evaluation item and obtains second evaluation data from the user, wherein the second evaluation item includes privacy protection motivation, which is used to evaluate whether the medical staff has awareness of protecting the patient's medical privacy, including forming a dimension of privacy awareness;

[0076] Next, the computer system provides the user with a third evaluation item and obtains third evaluation data from the user, wherein the third evaluation item includes privacy protection behavior, which is used to evaluate whether the medical staff has taken protective actions for the patient's medical privacy, including three dimensions: patient-related privacy protection behavior, patient body protection behavior, and patient information privacy protection behavior; and

[0077] Finally, the computer generates an evaluation result based on the comparison table according to the first, second and third evaluation data, wherein the comparison table can be formed according to historical experience, for example. In one embodiment of the present invention, the generation of the evaluation result mainly includes:

[0078] The computer searches the comparison table for scores associated with the first to third evaluation data to determine the first to third scores respectively; and

[0079] The evaluation result is determined by a computer based on the first to third scores.

[0080] Although various embodiments of the present invention are described above, it should be understood that they are presented as examples only and not as limitations. It is obvious to those skilled in the relevant art that various combinations, modifications and changes can be made thereto without departing from the spirit and scope of the present invention. Therefore, the breadth and scope of the present invention disclosed herein should not be limited by the exemplary embodiments disclosed above, but should only be defined according to the attached claims and their equivalents.

Claims

1. A computer system for providing a medical privacy protection evaluation form, characterized in that: include: a memory having computer executable instructions stored thereon; as well as A processor configured to execute the computer executable instructions to perform the following method steps: Providing a first evaluation item, the first evaluation item includes cognitive mediation, which is configured to evaluate the cognition of privacy protection behavior, including four dimensions: threat assessment, response assessment, support assessment, and ethical assessment; Providing a second evaluation item, the second evaluation item including privacy protection motivation, which is configured to evaluate whether there is privacy protection awareness, including that privacy awareness forms a dimension; as well as A third evaluation item is provided, wherein the third evaluation item includes privacy protection behavior, which is configured to evaluate whether privacy protection behavior is performed, including three dimensions of patient-related privacy protection behavior, patient body protection behavior, and patient information privacy protection behavior. The first, second and third evaluation items constitute a medical privacy protection evaluation form, and the medical privacy protection evaluation form is obtained according to the following steps: The original data were obtained through semi-structured interviews; According to the original data, the programmed grounded theory was used for coding analysis to refine the scope and logical relationship of adaptability measurement of medical privacy protection, and then build a theoretical model framework to determine the evaluation dimensions. The theoretical model framework includes three modules: cognitive mediation, privacy protection motivation and privacy protection behavior. The cognitive mediation, privacy protection motivation and privacy protection behavior include 4, 1 and 3 evaluation dimensions respectively. The evaluation dimensions of the cognitive mediation, privacy protection motivation and privacy protection behavior are refined, and the measurement variables are determined to form the first, second and third evaluation items. Each evaluation dimension corresponds to at least one measurement variable, wherein the threat assessment includes 4 measurement variables: severity, susceptibility, internal reporting and external rewards; the response assessment includes 3 measurement variables: self-efficacy, response efficacy and response cost; the support assessment includes 4 measurement variables: supervisory support, information support, normative support and environmental support; the ethical assessment includes 3 measurement variables: sense of responsibility, professional ethics and empathy; as well as The measurement variables are expanded into items to form an evaluation form.

2. The computer system according to claim 1, wherein: Each measurement variable includes at least one measurement item.

3. The computer system according to claim 2, wherein: There is a parallel or progressive relationship between the measurement items in each measurement variable.

4. A method for evaluating medical privacy protection, characterized in that: include: Forming a medical privacy protection evaluation form according to the steps of claim 1, wherein the medical privacy protection evaluation form includes a first evaluation item, a second evaluation item, and a third evaluation item; A computer system provides a first evaluation item to a user and obtains first evaluation data from the user, wherein the first evaluation item includes cognitive mediation, which is configured to evaluate cognition of privacy protection behavior, including four dimensions: threat assessment, response assessment, support assessment, and ethical assessment, wherein the threat assessment includes four measurement variables: severity, susceptibility, internal reporting, and external rewards, the response assessment includes three measurement variables: self-efficacy, response efficacy, and response cost, the support assessment includes four measurement variables: supervisory support, information support, normative support, and environmental support, and the ethical assessment includes three measurement variables: sense of responsibility, sense of professional ethics, and empathy; The computer system provides a second evaluation item to the user and obtains second evaluation data from the user, wherein the second evaluation item includes a privacy protection motivation, which is configured to evaluate whether there is a privacy protection awareness, including that the privacy awareness forms a dimension; The computer system provides a third evaluation item to the user and obtains third evaluation data from the user, wherein the third evaluation item includes privacy protection behavior, which is configured to evaluate whether the privacy protection behavior is performed, including three dimensions of patient-related privacy protection behavior, patient body protection behavior, and patient information privacy protection behavior; as well as The computer generates the evaluation result based on the comparison table according to the first, second and third evaluation data.

5. The evaluation method according to claim 4, characterized in that: The medical privacy protection evaluation form includes: Conduct semi-structured interviews and generate interview records; Based on the interview records, the programmed grounded theory was used for coding analysis to extract the scope and logical relationship of adaptability in measuring medical privacy protection, and then to build a theoretical model framework and determine the evaluation dimensions; Determining measurement variables based on the assessment dimensions; and The measurement variables are expanded into items to form an evaluation form.

6. The evaluation method according to claim 4, characterized in that: Generating the evaluation results by the computer based on the comparison table according to the first, second and third evaluation data includes: The computer searches the comparison table for scores associated with the first to third evaluation data to determine the first to third scores respectively; as well as The evaluation result is determined by a computer based on the first to third scores.

7. The evaluation method according to claim 5, characterized in that: The interviewees of the semi-structured interview were selected using theoretical sampling method.

8. The evaluation method according to claim 5, characterized in that: The content of the semi-structured interviews was formed based on protection motivation theory.

9. The evaluation method according to claim 5, characterized in that: The interview records include personal in-depth interview records and focus group interview records.

10. The evaluation method according to claim 5, characterized in that: Also includes: The Delphi method was used to optimize the evaluation form.

11. The evaluation method according to claim 5, characterized in that: Also includes: According to the evaluation form, a questionnaire is formed; Conduct a sampling survey using the questionnaire to obtain questionnaire results; Based on the questionnaire results, the reliability and validity of the evaluation form were verified: If the preset requirements are met, the evaluation form will be used as the final medical privacy protection evaluation form; as well as If the preset requirements are not met, the evaluation form is optimized until its reliability and validity meet the preset requirements.

12. The evaluation method according to claim 11, characterized in that: The reliability and validity verification includes: Performing a sphericity check on the questionnaire results and virtuality to determine whether the assessment form is suitable for exploratory factor analysis; and / or A confirmatory factor analysis is performed on the subordinate structure of the items in the assessment form to confirm whether the subordinate relationship between the items and the extracted factors is correct.

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