Data analysis-based patient satisfaction evaluation and analysis method

Abstract

The invention provides a patient satisfaction evaluation analysis method based on data analysis, and belongs to the technical field of data processing, and the method specifically comprises the steps: determining the reference values of different effective questionnaires according to the hospitalization data of a patient and the matching conditions of the hospitalization data and the question items of the effective questionnaires, dividing the effective questionnaires into different reference value intervals according to the reference values of different effective questionnaires when the reference value of the statistical data is determined to meet requirements by using the reference values of the effective questionnaires; and the satisfaction evaluation coefficients of the different reference value intervals are determined based on the analysis results of the effective questionnaires of the different reference value intervals, and the satisfaction evaluation result of the patient is output on the basis of the satisfaction evaluation coefficients of the different reference value intervals, so that the accuracy of the satisfaction evaluation result of the patient is ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing, and in particular relates to a patient satisfaction evaluation and analysis method based on data analysis. Background Art

[0002] In order to evaluate satisfaction and improve service satisfaction, the invention patent application CN201811315301.8 "Method and device for evaluating product satisfaction, storage medium and electronic device" obtains consumer feedback information and / or regulatory information of products related to feature information, and performs quantitative processing based on the feedback information and / or the regulatory information, thereby achieving accurate evaluation of product satisfaction. However, there are the following problems: In the process of evaluating patient satisfaction, due to differences in the conditions of different patients, there are differences in the hospitalization time and medical services received by different patients. Therefore, this leads to differences in the reference value of the satisfaction evaluation results of different patients. Therefore, if the differences in the hospitalization time and medical services received by different patients are not taken into account, the accuracy of the patient satisfaction evaluation results cannot be guaranteed.

[0003] In response to the above technical problems, the present invention provides a patient satisfaction evaluation and analysis method based on data analysis. Summary of the invention

[0004] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: According to one aspect of the present invention, a patient satisfaction evaluation and analysis method based on data analysis is provided.

[0005] A patient satisfaction evaluation and analysis method based on data analysis, specifically comprising: S1 determines different questionnaire filling devices based on the statistical data of the patient satisfaction questionnaire, and determines the effective questionnaire based on the similarity with other questionnaire filling devices and the questionnaire filling processing time. When the questionnaire data of the effective questionnaire is used to determine that the validity of the statistical data meets the requirements, proceed to the next step; S2 determines the patients corresponding to different valid questionnaires, and determines the reference values ​​of different valid questionnaires according to the hospitalization data of the patients and the matching between the hospitalization data and the question items of the valid questionnaires, and when the reference value of the statistical data is determined to meet the requirements by using the reference value of the valid questionnaires, proceeds to the next step; S3: dividing the valid questionnaires into different reference value intervals according to the reference values ​​of different valid questionnaires, and determining the satisfaction evaluation coefficients of the different reference value intervals based on the analysis results of the valid questionnaires of the different reference value intervals; S4 outputs patient satisfaction evaluation results based on satisfaction evaluation coefficients in different reference value intervals.

[0006] The beneficial effects of the present invention are: 1. In the present invention, the reference values ​​of different effective questionnaires are determined according to the patient's hospitalization data and the matching situation between the hospitalization data and the questions in the effective questionnaire, thereby fully considering the differences in the length of hospitalization of patients and the differences in the matching situation between the hospitalization data and the questions in the effective questionnaire to accurately evaluate the reference value of the effective questionnaire, and also laying the foundation for the accurate output of the patient satisfaction evaluation results.

[0007] 2. In the present invention, the satisfaction evaluation coefficients of different reference value intervals are used as the basis to output the patient satisfaction evaluation results, thereby avoiding the technical problem that the accuracy of the patient satisfaction evaluation results cannot meet the requirements due to the single consideration of the satisfaction evaluation coefficient of a certain reference value interval. The differences in satisfaction evaluation coefficients between different reference value intervals are fully considered, and the screening of reference value intervals with relatively similar satisfaction evaluation coefficients is achieved, while also achieving the exclusion of valid questionnaires with little reference value.

[0008] A further technical solution is that the questionnaire filling device is identified according to a unique device identifier of the questionnaire filling device.

[0009] A further technical solution is that the method for determining the effective questionnaire is: Determine the number of other questionnaires that are consistent with the questionnaire filling device based on similar situations with other questionnaire filling devices, and use it as the number of consistent questionnaires, and determine the identity validity of the questionnaire based on the number of consistent questionnaires; Determining the data validity of the questionnaire by the deviation between the processing time of filling in the questionnaire and the preset processing time; The identity validity and data validity are used to determine the comprehensive validity of the questionnaire, and whether the questionnaire is a valid questionnaire is determined based on the comprehensive validity.

[0010] A further technical solution is that when the comprehensive effectiveness of the questionnaire meets the requirements, the questionnaire is determined to be a valid questionnaire.

[0011] A further technical solution is that the matching of the hospitalization data with the question items of the effective questionnaire is determined based on the matching of the inpatient service type corresponding to the question item and the hospitalization data, specifically based on the number of services of the inpatient service type in the hospitalization data.

[0012] A further technical solution is that the matching situation between the hospitalization data and the question items of the effective questionnaire includes the matching coefficient between the hospitalization data and the question items of the effective questionnaire.

[0013] A further technical solution is that the method for determining the reference value of the effective questionnaire is: Determine the length of hospital stay of the patient using the patient's hospitalization data, and determine the basic reference value coefficient of the patient based on the length of hospital stay of the patient; Determine matching question items among the question items based on the matching status of the patient's hospitalization data and the question items of the valid questionnaire, and determine the questionnaire matching coefficient of the patient using the number of the matching question items; The reference value of the effective questionnaire is determined based on the average value of the basic reference value coefficient and the questionnaire matching coefficient.

[0014] A further technical solution is that, when the reference value of the statistical data does not meet the requirements, it is determined that the patient satisfaction cannot be evaluated based on the statistical data.

[0015] A further technical solution is that the method for outputting the patient satisfaction evaluation result is: Obtaining satisfaction evaluation coefficients of different reference value intervals, and dividing the reference value intervals into different satisfaction similarity groups according to deviations of the satisfaction evaluation coefficients between different reference value intervals; Determine the reference value weights of different reference value intervals based on the number of valid questionnaires in different reference value intervals and the reference values ​​of different valid questionnaires; Based on the reference value weight values ​​of different reference value intervals, the sum of the reference value weight values ​​of different satisfaction similarity groups is determined and used as the reference value weight sum. The reference value weight and the reference satisfaction evaluation coefficient of the largest satisfaction similarity group are used to output the patient satisfaction evaluation results.

[0016] A further technical solution is that the reference satisfaction evaluation coefficient of the satisfaction similarity group is determined according to the average value of the satisfaction evaluation coefficients of different reference value intervals in the satisfaction similarity group.

[0017] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0018] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0020] Figure 1 It is a flow chart of a patient satisfaction evaluation and analysis method based on data analysis; Figure 2 It is a flow chart of the method for determining effective questionnaires; Figure 3 It is a flow chart of the method for determining the reference value of a valid questionnaire; Figure 4 It is a flow chart of a method for determining a satisfaction evaluation coefficient of a reference value interval. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0022] Due to differences in the conditions of different patients, there are differences in the hospitalization time and the medical services received by different patients. Therefore, there are differences in the reference value of the satisfaction evaluation results of different patients. Therefore, it is necessary to comprehensively consider the differences in the hospitalization time and the medical services received by different patients to evaluate the patient satisfaction.

[0023] Valid questionnaires: Questionnaires whose filling and processing time is within the preset processing time range and questionnaires that do not have similar filling equipment as other questionnaires are considered valid questionnaires.

[0024] Determine whether the validity of the statistical data meets the requirements: Determine based on the number of valid questionnaires. When the number of valid questionnaires is greater than 10,000, it is determined that the validity of the statistical data meets the requirements.

[0025] Reference value of effective questionnaire: The number of matching items is determined based on the matching of hospitalization data with the items in the effective questionnaire, and the number of matching items is used as the reference value of the effective questionnaire.

[0026] Satisfaction evaluation coefficient of reference value interval: The satisfaction evaluation coefficient is determined according to the number of valid questionnaires in different reference value intervals. Specifically, the satisfaction evaluation coefficient is determined by the ratio of the number of valid questionnaires to the preset number of questionnaires.

[0027] Patient satisfaction evaluation results: Patient satisfaction is determined by the reference value weight values ​​of different reference value intervals and the weight of the satisfaction coefficient, and the patient satisfaction is used to determine the patient satisfaction evaluation results.

[0028] To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, a patient satisfaction evaluation and analysis method based on data analysis is provided, which specifically includes: S1 determines different questionnaire filling devices based on the statistical data of the patient satisfaction questionnaire, and determines the effective questionnaire based on the similarity with other questionnaire filling devices and the questionnaire filling processing time. When the questionnaire data of the effective questionnaire is used to determine that the validity of the statistical data meets the requirements, proceed to the next step; Furthermore, the questionnaire filling device is identified according to a unique device identifier of the questionnaire filling device.

[0029] It should be noted that if Figure 2 As shown, the method for determining the effective questionnaire is: Determine the number of other questionnaires that are consistent with the questionnaire filling device based on similar situations with other questionnaire filling devices, and use it as the number of consistent questionnaires, and determine the identity validity of the questionnaire based on the number of consistent questionnaires; Determining the data validity of the questionnaire by the deviation between the processing time of filling in the questionnaire and the preset processing time; The identity validity and data validity are used to determine the comprehensive validity of the questionnaire, and whether the questionnaire is a valid questionnaire is determined based on the comprehensive validity.

[0030] Furthermore, when the comprehensive validity of the questionnaire meets the requirements, the questionnaire is determined to be a valid questionnaire.

[0031] It should also be noted that the method for determining the effective questionnaire is: Determine the data validity of the questionnaire by the deviation between the filling processing time of the questionnaire and the preset processing time, and judge whether the data validity of the questionnaire meets the requirements. If yes, proceed to the next step; if not, determine that the questionnaire is not a valid questionnaire; Determine the number of other questionnaires that are consistent with the questionnaire filling device based on similar situations with other questionnaire filling devices, and use it as the number of consistent questionnaires, and judge whether the number of consistent questionnaires meets the requirements. If so, proceed to the next step; if not, determine that the questionnaire is not a valid questionnaire; The identity validity of the questionnaire is determined according to the number of consistent questionnaires, the comprehensive validity of the questionnaire is determined using the identity validity and data validity, and whether the questionnaire is a valid questionnaire is determined according to the comprehensive validity.

[0032] Specifically, the validity of the statistical data is determined to meet the requirements, including: Determine the comprehensive validity of the effective questionnaire by using the questionnaire data of the effective questionnaire, and determine the basic weight value of the effective questionnaire based on the comprehensive validity; Determine the questionnaire filling time of the valid questionnaire by using the questionnaire data of the valid questionnaire, and divide the valid questionnaire into different time intervals according to the questionnaire filling time of the valid questionnaire; Determine the sum of weights of different time intervals based on the sum of basic weight values ​​of valid questionnaires in different time intervals; Determine preset weight values ​​for different time intervals, and determine the validity weight sum of the statistical data in combination with the weight sums of the different time intervals, and determine whether the validity of the statistical data meets the requirements based on the validity weight sum.

[0033] Further, when the validity weight sum is within a preset weight interval, it is determined that the validity of the statistical data meets the requirements.

[0034] It should be noted that when the validity of the statistical data does not meet the requirements, it is determined that the patient satisfaction cannot be evaluated based on the statistical data.

[0035] It is also necessary to further explain that the validity of statistical data meets the requirements, including: Determine the questionnaire filling time of the valid questionnaire by using the questionnaire data of the valid questionnaire, and divide the valid questionnaire into different time intervals according to the questionnaire filling time of the valid questionnaire; Determine the statistical data validity of different time intervals based on the number of valid questionnaires in different time intervals; Determine preset weight values ​​for different time intervals, and determine the validity weight sum of the statistical data in combination with the validity of the statistical data for different time intervals, and determine whether the validity of the statistical data meets the requirements based on the validity weight sum.

[0036] Specifically, it should be noted that the validity of statistical data meets the requirements, including: S11 obtains the number of valid questionnaires, determines whether the number of valid questionnaires is greater than a preset number of questionnaires, and if so, determines that the validity of the statistical data meets the requirements, and if not, proceeds to the next step; S12 determines whether the number of the valid questionnaires is less than the minimum limit of the number of questionnaires. If so, proceed to the next step; if not, proceed to step S15; S13 determines the comprehensive validity of the effective questionnaire using the questionnaire data of the effective questionnaire, and determines the basic weight value of the effective questionnaire based on the comprehensive validity, and judges whether the average value of the basic weight value of the effective questionnaire is within a preset interval, if so, proceeds to the next step, if not, determines that the validity of the statistical data does not meet the requirements; S14 uses the questionnaire data of the valid questionnaire to determine the questionnaire filling time of the valid questionnaire, determines the modified weight values ​​of different valid questionnaires based on the questionnaire filling time and the basic weight value, and judges whether the average value of the modified weight value of the valid questionnaire is within a preset interval. If so, proceed to the next step; if not, it is determined that the validity of the statistical data does not meet the requirements; S15: dividing the valid questionnaires into different time intervals according to the questionnaire filling time of the valid questionnaires, and determining the sum of weights of the different time intervals based on the sum of basic weight values ​​of the valid questionnaires in the different time intervals; S16 determines preset weight values ​​for different time intervals, and determines the validity weight sum of the statistical data in combination with the weight sums of different time intervals, and determines whether the validity of the statistical data meets the requirements based on the validity weight sum.

[0037] S2 determines the patients corresponding to different valid questionnaires, and determines the reference values ​​of different valid questionnaires according to the hospitalization data of the patients and the matching between the hospitalization data and the question items of the valid questionnaires, and when the reference value of the statistical data is determined to meet the requirements by using the reference value of the valid questionnaires, proceeds to the next step; Furthermore, the matching of the hospitalization data with the question items of the effective questionnaire is determined based on the matching of the inpatient service type corresponding to the question item with the hospitalization data, specifically based on the number of services of the inpatient service type in the hospitalization data.

[0038] It can be understood that the matching condition between the hospitalization data and the question items of the effective questionnaire includes the matching coefficient between the hospitalization data and the question items of the effective questionnaire.

[0039] Specifically, Figure 3 As shown, the method for determining the reference value of the effective questionnaire is: Determine the length of hospital stay of the patient using the patient's hospitalization data, and determine the basic reference value coefficient of the patient based on the length of hospital stay of the patient; Determine matching question items among the question items based on the matching status of the patient's hospitalization data and the question items of the valid questionnaire, and determine the questionnaire matching coefficient of the patient using the number of the matching question items; The reference value of the effective questionnaire is determined based on the average value of the basic reference value coefficient and the questionnaire matching coefficient.

[0040] It is understood that the reference value of the statistical data is determined to meet the requirements, including: Determine the questionnaire filling time of the valid questionnaire by using the questionnaire data of the valid questionnaire, and determine the preset time weight values ​​of different valid questionnaires according to the questionnaire filling time of the valid questionnaire; Determine reference weight values ​​of different valid questionnaires based on the product of preset time weight values ​​of different valid questionnaires and reference values; The reference value coefficient of the statistical data is determined by the sum of the reference weight values ​​of different valid questionnaires, and whether the reference value of the statistical data meets the requirements is determined based on the reference value coefficient.

[0041] Further, determining whether the reference value of the statistical data meets the requirement based on the reference value coefficient specifically includes: When the reference value coefficient of the statistical data is greater than a preset coefficient threshold, it is determined that the reference value of the statistical data meets the requirements.

[0042] It should be noted that when the reference value of the statistical data does not meet the requirements, it is determined that the patient satisfaction cannot be evaluated based on the statistical data.

[0043] It is also understood that determining whether the reference value of the statistical data meets the requirements specifically includes: Determine the questionnaire filling time of the valid questionnaire by using the questionnaire data of the valid questionnaire, and divide the valid questionnaire into different time intervals according to the questionnaire filling time of the valid questionnaire; Determining reference questionnaires in the valid questionnaires based on reference values ​​of different valid questionnaires, and determining interval reference coefficients of different time intervals according to the number of reference questionnaires in different time intervals; Determine the preset weight values ​​for different time intervals, and determine the reference value coefficient of the statistical data in combination with the interval reference coefficients of different time intervals, and determine whether the reference value of the statistical data meets the requirements based on the reference value coefficient.

[0044] It is also necessary to further explain that the reference value of the statistical data meets the requirements, including: S21 determines the reference questionnaires in the valid questionnaires based on the reference values ​​of different valid questionnaires, and judges whether the number of reference questionnaires in the valid questionnaires meets the requirement, if so, proceeds to the next step, if not, determines that the reference value of the statistical data does not meet the requirement; S22: obtaining the number of reference questionnaires in the valid questionnaires, and determining whether the number of reference questionnaires is greater than the preset number of questionnaires. If so, proceeding to the next step; if not, proceeding to step S25; S23 determines whether the average value of the reference value of the reference questionnaire is greater than a preset value coefficient. If so, it is determined that the reference value of the statistical data meets the requirement. If not, proceed to the next step. S24 uses the questionnaire data of the valid questionnaire to determine the questionnaire filling time of the valid questionnaire, and determines the preset time weight values ​​of different valid questionnaires according to the questionnaire filling time of the valid questionnaire, determines the reference weight values ​​of different valid questionnaires based on the product of the preset time weight values ​​of different valid questionnaires and the reference value, and judges whether the average value of the reference weight values ​​of different reference questionnaires is greater than the preset reference weight coefficient. If so, it is determined that the reference value of the statistical data meets the requirements, and if not, proceeds to the next step; S25 obtains the number of valid questionnaires, and determines the reference value coefficient of the statistical data in combination with the reference weight values ​​of different valid questionnaires and the number of reference questionnaires, and determines whether the reference value of the statistical data meets the requirements based on the reference value coefficient.

[0045] S3: dividing the valid questionnaires into different reference value intervals according to the reference values ​​of different valid questionnaires, and determining the satisfaction evaluation coefficients of the different reference value intervals based on the analysis results of the valid questionnaires of the different reference value intervals; Specifically, Figure 4 As shown, the method for determining the satisfaction evaluation coefficient of the reference value interval is: Taking the valid questionnaires in the reference value range as corresponding questionnaires, determining the satisfaction of the corresponding questionnaires in different question items using the analysis results of different corresponding questionnaires, and determining the satisfaction coefficients of different corresponding questionnaires based on the average of the satisfaction of different question items; Determine the reference values ​​of different corresponding questionnaires within the reference value range, and determine the satisfaction correction coefficients of different corresponding questionnaires by multiplying the reference value by the satisfaction coefficient; The satisfaction evaluation coefficient of the reference value range is determined based on the average value of the satisfaction correction coefficients of different corresponding questionnaires.

[0046] S4 outputs patient satisfaction evaluation results based on satisfaction evaluation coefficients in different reference value intervals.

[0047] It should be noted that the method for outputting the patient satisfaction evaluation results is: Obtaining satisfaction evaluation coefficients of different reference value intervals, and dividing the reference value intervals into different satisfaction similarity groups according to deviations of the satisfaction evaluation coefficients between different reference value intervals; Determine the reference value weights of different reference value intervals based on the number of valid questionnaires in different reference value intervals and the reference values ​​of different valid questionnaires; Based on the reference value weight values ​​of different reference value intervals, the sum of the reference value weight values ​​of different satisfaction similarity groups is determined and used as the reference value weight sum. The reference value weight and the reference satisfaction evaluation coefficient of the largest satisfaction similarity group are used to output the patient satisfaction evaluation results.

[0048] Furthermore, the reference satisfaction evaluation coefficient of the satisfaction similarity group is determined according to the average value of the satisfaction evaluation coefficients of different reference value intervals in the satisfaction similarity group.

[0049] It can also be understood that the method of outputting the patient satisfaction evaluation results is: Obtain satisfaction evaluation coefficients of different reference value intervals, determine whether there is a reference value interval whose deviation from the satisfaction evaluation coefficients of other reference value intervals is within a preset deviation interval, if so, proceed to the next step, if not, determine that the output of the patient satisfaction evaluation result cannot be performed; According to the deviation of the satisfaction evaluation coefficient between different reference value intervals, the reference value intervals are divided into different satisfaction similarity groups, and it is determined whether there is a satisfaction similarity group whose number of valid questionnaires meets the requirements. If so, the next step is entered; if not, it is determined that the patient satisfaction evaluation result cannot be output; Determine whether the number of valid questionnaires meets the requirement and whether the average value of the reference value of the valid questionnaires of the satisfaction similarity group meets the requirement, if so, proceed to the next step, if not, determine that the output of the patient satisfaction evaluation result cannot be performed; Determine reference value weights of different reference value intervals based on the number of valid questionnaires in different reference value intervals and the reference values ​​of different valid questionnaires, determine the sum of reference value weights of different satisfaction similarity groups based on the reference value weights of different reference value intervals, and use the sum of reference value weights as the sum of reference value weights, and determine whether there is a satisfaction similarity group whose sum of reference value weights is greater than a preset weight threshold. If so, proceed to the next step; if not, determine that the output of the patient satisfaction evaluation result cannot be performed; The reference value weight and the satisfaction similarity group greater than the preset weight threshold are used as the satisfaction reference group, and the reference value weight and the reference satisfaction evaluation coefficient of the largest satisfaction reference group are used to output the patient satisfaction evaluation results.

[0050] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0051] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0052] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A patient satisfaction evaluation and analysis method based on data analysis, characterized in that: Specifically include: Based on the statistical data of the patient satisfaction questionnaire, different questionnaire filling devices are determined, and effective questionnaires are determined based on similarities with other questionnaire filling devices and the questionnaire filling processing time. When the questionnaire data of the effective questionnaire is used to determine that the validity of the statistical data meets the requirements, the next step is entered; Determine the patients corresponding to different valid questionnaires, and determine the reference values ​​of different valid questionnaires according to the hospitalization data of the patients and the matching between the hospitalization data and the question items of the valid questionnaires. When the reference value of the statistical data is determined to meet the requirements using the reference value of the valid questionnaires, proceed to the next step; Dividing the valid questionnaires into different reference value intervals according to the reference values ​​of different valid questionnaires, and determining satisfaction evaluation coefficients of different reference value intervals based on the parsing results of the valid questionnaires in different reference value intervals; The patient satisfaction evaluation results are output based on the satisfaction evaluation coefficients in different reference value intervals.

2. The patient satisfaction evaluation and analysis method based on data analysis according to claim 1, characterized in that: The questionnaire filling device is identified according to the unique device identifier of the questionnaire filling device.

3. The patient satisfaction evaluation and analysis method based on data analysis according to claim 1, characterized in that: The method for determining the effective questionnaire is: Determine the number of other questionnaires that are consistent with the questionnaire filling device based on similar situations with other questionnaire filling devices, and use it as the number of consistent questionnaires, and determine the identity validity of the questionnaire based on the number of consistent questionnaires; Determining the data validity of the questionnaire by the deviation between the processing time of filling in the questionnaire and the preset processing time; The identity validity and data validity are used to determine the comprehensive validity of the questionnaire, and whether the questionnaire is a valid questionnaire is determined based on the comprehensive validity.

4. The patient satisfaction evaluation and analysis method based on data analysis according to claim 3, characterized in that: When the comprehensive validity of the questionnaire meets the requirements, the questionnaire is determined to be a valid questionnaire.

5. The patient satisfaction evaluation and analysis method based on data analysis according to claim 1, characterized in that: Determine that the validity of statistical data meets the requirements, including: Determine the comprehensive validity of the effective questionnaire by using the questionnaire data of the effective questionnaire, and determine the basic weight value of the effective questionnaire based on the comprehensive validity; Determine the questionnaire filling time of the valid questionnaire by using the questionnaire data of the valid questionnaire, and divide the valid questionnaire into different time intervals according to the questionnaire filling time of the valid questionnaire; Determine the sum of weights of different time intervals based on the sum of basic weight values ​​of valid questionnaires in different time intervals; Determine preset weight values ​​for different time intervals, and determine the validity weight sum of the statistical data in combination with the weight sums of the different time intervals, and determine whether the validity of the statistical data meets the requirements based on the validity weight sum.

6. The patient satisfaction evaluation and analysis method based on data analysis according to claim 1, characterized in that: When the validity of the statistical data does not meet the requirement, it is determined that the patient satisfaction cannot be evaluated based on the statistical data.

7. The patient satisfaction evaluation and analysis method based on data analysis according to claim 1, characterized in that: The matching of the hospitalization data with the question items of the effective questionnaire is determined based on the matching of the inpatient service type corresponding to the question item with the hospitalization data, and specifically based on the number of services of the inpatient service type in the hospitalization data.

8. The patient satisfaction evaluation and analysis method based on data analysis according to claim 1, characterized in that: The method for determining the reference value of the effective questionnaire is: Determine the length of hospital stay of the patient using the patient's hospitalization data, and determine the basic reference value coefficient of the patient based on the length of hospital stay of the patient; Determine matching question items among the question items based on the matching status of the patient's hospitalization data and the question items of the valid questionnaire, and determine the questionnaire matching coefficient of the patient using the number of the matching question items; The reference value of the effective questionnaire is determined based on the average value of the basic reference value coefficient and the questionnaire matching coefficient.

9. The patient satisfaction evaluation and analysis method based on data analysis according to claim 1, characterized in that: The method for outputting the patient satisfaction evaluation results is: Obtaining satisfaction evaluation coefficients of different reference value intervals, and dividing the reference value intervals into different satisfaction similarity groups according to deviations of the satisfaction evaluation coefficients between different reference value intervals; Determine the reference value weights of different reference value intervals based on the number of valid questionnaires in different reference value intervals and the reference values ​​of different valid questionnaires; Based on the reference value weight values ​​of different reference value intervals, the sum of the reference value weight values ​​of different satisfaction similarity groups is determined and used as the reference value weight sum. The reference value weight and the reference satisfaction evaluation coefficient of the largest satisfaction similarity group are used to output the patient satisfaction evaluation results.

10. The patient satisfaction evaluation and analysis method based on data analysis according to claim 9, characterized in that: The reference satisfaction evaluation coefficient of the satisfaction similarity group is determined according to the average value of the satisfaction evaluation coefficients of different reference value intervals in the satisfaction similarity group.

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