A method and system for analyzing and processing working time data

Abstract

The present invention provides a method and system for analyzing and processing working time data, which belongs to the technical field of data analysis, and specifically includes: based on the reliability coefficient of the management subjects of the clinical trial project, determining that the reliability of the working time reporting data of the clinical trial project meets the requirements, and matching the physical feedback data of different management subjects at different clinical trial stages with the clinical trial data to determine that the reliability of the working time reporting data at different clinical trial stages meets the requirements, determining the reliability coefficient of the working time reporting data among the management subjects of different staff members, and determining the verification strategy of the working time reporting data of different staff members in combination with the number of management subjects corresponding to different staff members, thereby ensuring the data reliability of the working time reporting data.

Description

Technical Field

[0001] The present invention belongs to the technical field of data analysis, and in particular, relates to a method and system for analyzing and processing working time data. Background Art

[0002] Drugs often need to undergo clinical trials before they are marketed, and the subjects in the clinical trials need to be clinically observed during the clinical trials. In existing technical solutions, when staff visit the subjects, their visit data faces management chaos. This makes how to combine the working time reporting system to achieve reliable management of visit data a technical problem that needs to be solved urgently.

[0003] Specifically, in the invention patent application CN202211544414.1 "A method and device for recording working hours in clinical research projects", the working hours editing information is displayed in the client, and the working hours editing information is sent to the server for recording and storage, thereby improving the working hours reporting efficiency, improving the timeliness and enthusiasm of CRC working hours reporting, but there are the following technical problems:

[0004] The existing technical solutions have neglected to analyze and process the working time reporting data. When the staff reports the working hours, they generally have the physical feedback data of the subjects. If the physical feedback data of the subjects cannot be analyzed and processed, the safety of the clinical trial and the reliability of the data cannot be guaranteed.

[0005] In view of the above technical problems, the present invention provides a method and system for analyzing and processing working time data. Summary of the invention

[0006] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0007] According to one aspect of the present invention, a method for analyzing and processing working time data is provided.

[0008] A method for analyzing and processing working time data, specifically comprising:

[0009] S1 uses the work time reporting data to determine the management subjects of different staff members, determines the physical feedback data at different clinical trial stages through the work time reporting data corresponding to different management subjects, and determines the reliability coefficient of the work time reporting data of different management subjects according to the matching of the physical feedback data and the clinical trial data;

[0010] S2 determines that the reliability of the working time reporting data of the clinical trial project meets the requirements based on the reliability coefficient of the management subjects of the clinical trial project, and then proceeds to the next step;

[0011] S3 determines that the reliability of the working hours reporting data at different clinical trial stages meets the requirements based on the matching of the physical feedback data of different management subjects at different clinical trial stages with the clinical trial data, and then proceeds to the next step;

[0012] S4 determines the reliability coefficient of the working time reporting data of different staff members in the management subjects, and determines the verification strategy of the working time reporting data of different staff members in combination with the number of management subjects corresponding to different staff members.

[0013] The beneficial effects of the present invention are:

[0014] 1. In the present invention, whether the reliability of the working time reporting data in the clinical trial stage meets the requirements is determined based on the matching conditions between the physical feedback data of different management subjects in different clinical trial stages and the clinical trial data, thereby achieving an accurate assessment of the reliability of the working time reporting data based on the matching conditions between the physical feedback data of the management subjects in the corresponding clinical trial stages and the clinical trial data, avoiding the technical problem that the test results of the clinical trial project do not meet the requirements due to unreliable working time reporting data in certain clinical trial stages, and also laying a foundation for targeted verification of working time reporting data.

[0015] 2. In the present invention, the reliability coefficient of the working time reporting data of the managed subjects and the number of managed subjects are used to determine the verification strategy for the working time reporting data of different staff members. This takes into account the differences in the reliability of the overall working time reporting data of the staff due to the differences in the reliability of the working time reporting data of the managed subjects, and also takes into account the impact of the differences in the number of managed subjects on the reliability of the test results of the clinical trial project once an abnormality occurs. This achieves the determination of differentiated verification strategies for the working time reporting data of the staff from multiple angles, and ensures the reliability of the working time reporting data as much as possible on the basis of ensuring the efficiency of the verification process.

[0016] A further technical solution is that the management subjects of the staff are determined according to a preset correspondence between the subjects and the staff.

[0017] A further technical solution is that the physical feedback data is determined based on the analysis results of the working time reporting data corresponding to the management subject, specifically including the feedback of specific physical indicators.

[0018] A further technical solution is that the specific physical indicator is determined according to the type of clinical trial project.

[0019] A further technical solution is that the method for determining the reliability coefficient of the working time reporting data of the management subject is:

[0020] Determine the feedback data of the managed subject in different types of specific physical indicators based on the analysis results of the physical feedback data, and use the clinical test data of the time period corresponding to the physical feedback data as matching test data;

[0021] Determine preset characterization data of specific physical indicators under the matching test data based on the analysis results of the matching test data, determine the specific physical indicators with abnormal matching conditions based on the matching conditions of the preset characterization data and the feedback data, and use the abnormal physical indicators as the abnormal physical indicators;

[0022] The data reliability coefficients of different clinical trial stages are determined by using the percentage of abnormal physical indicators in different clinical trial stages, and the reliability coefficients of the working hours reporting data of the management subjects are determined by using the data reliability coefficients of different clinical trial stages.

[0023] A further technical solution is that the reliability coefficient of the working time reporting data of the management subject ranges from 0 to 1, wherein the larger the reliability coefficient of the working time reporting data of the management subject, the higher the reliability of the working time reporting data of the management subject.

[0024] A further technical solution is to determine the reliability coefficient of the working time reporting data of the management subjects through the data reliability coefficients of different clinical trial stages, specifically including:

[0025] The average value of the data reliability coefficients of different clinical trial stages is used as the reliability coefficient of the working time reporting data of the management subjects.

[0026] A further technical solution is that the method for determining the verification strategy of the staff's working time reporting data is:

[0027] Based on the reliability coefficient of the working hours reported by the staff member's management subjects, determine the staff member's data abnormal subjects, and determine the staff member's data abnormality coefficient according to the number of the data abnormal subjects;

[0028] Determine the data abnormality impact coefficient of the staff member based on the proportion of the number of subjects managed by the staff member to all subjects managed in the clinical trial project;

[0029] The comprehensive anomaly coefficient of the staff member is determined by multiplying the data anomaly influence coefficient of the staff member by the data anomaly coefficient, and the verification strategy of the working time reporting data of the staff member is determined using the comprehensive anomaly coefficient.

[0030] A further technical solution is to use the comprehensive abnormality coefficient to determine the verification strategy of the staff's working time reporting data, specifically including:

[0031] The verification strategy for the staff member's working time reporting data is determined by the preset verification strategy corresponding to the comprehensive abnormality coefficient.

[0032] A further technical solution is that the verification strategy includes verifying the working time reporting data only for subjects with abnormal data, and verifying the working time reporting data of all subjects with abnormal data of the staff.

[0033] In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes the above-mentioned method of analyzing and processing working time data.

[0034] 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.

[0035] 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

[0036] 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.

[0037] Figure 1 It is a flow chart of a method for analyzing and processing working time data;

[0038] Figure 2 It is a flow chart of a method for determining a reliability coefficient of working time reporting data of management subjects;

[0039] Figure 3 It is a flow chart of the method for determining the verification strategy of the staff's working time reporting data;

[0040] Figure 4 It is a framework diagram of a computer system. DETAILED DESCRIPTION

[0041] 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.

[0042] To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, a method for analyzing and processing working time data is provided, which specifically includes:

[0043] S1 uses the work time reporting data to determine the management subjects of different staff members, determines the physical feedback data at different clinical trial stages through the work time reporting data corresponding to different management subjects, and determines the reliability coefficient of the work time reporting data of different management subjects according to the matching of the physical feedback data and the clinical trial data;

[0044] Furthermore, the management subjects of the staff are determined according to the preset corresponding relationship between the subjects and the staff.

[0045] Specifically, the physical feedback data is determined based on the analysis results of the work-hour reporting data corresponding to the management subject, and specifically includes feedback on specific physical indicators.

[0046] It is understandable that the specific physical indicators are determined according to the type of clinical trial project.

[0047] Further, such as Figure 2 As shown, the method for determining the reliability coefficient of the working time reporting data of the management subject is:

[0048] Determine the feedback data of the managed subject in different types of specific physical indicators based on the analysis results of the physical feedback data, and use the clinical test data of the time period corresponding to the physical feedback data as matching test data;

[0049] Determine preset characterization data of specific physical indicators under the matching test data based on the analysis results of the matching test data, determine the specific physical indicators with abnormal matching conditions based on the matching conditions of the preset characterization data and the feedback data, and use the abnormal physical indicators as the abnormal physical indicators;

[0050] The data reliability coefficients of different clinical trial stages are determined by using the percentage of abnormal physical indicators in different clinical trial stages, and the reliability coefficients of the working hours reporting data of the management subjects are determined by using the data reliability coefficients of different clinical trial stages.

[0051] Furthermore, the reliability coefficient of the working time reporting data of the management subject ranges from 0 to 1, wherein the larger the reliability coefficient of the working time reporting data of the management subject is, the higher the reliability of the working time reporting data of the management subject is.

[0052] It can be understood that the reliability coefficient of the working time reporting data of the management subjects is determined by the data reliability coefficients of different clinical trial stages, specifically including:

[0053] The average value of the data reliability coefficients of different clinical trial stages is used as the reliability coefficient of the working time reporting data of the management subjects.

[0054] It should also be noted that the method for determining the reliability coefficient of the working time reporting data of the management subjects is:

[0055] Determine the feedback data of the managed subject in different types of specific physical indicators based on the analysis results of the physical feedback data, and use the clinical test data of the time period corresponding to the physical feedback data as matching test data;

[0056] Determine preset characterization data of specific physical indicators under the matching test data based on the analysis results of the matching test data, determine the specific physical indicators with abnormal matching conditions based on the matching conditions of the preset characterization data and the feedback data, and use the abnormal physical indicators as the abnormal physical indicators;

[0057] The clinical trial stage in which the abnormal physical indicators exist is regarded as the data abnormality stage, and the reliability coefficient of the working time reporting data of the management subjects is determined by the number ratio of the data abnormality stages.

[0058] It should also be noted that the method for determining the reliability coefficient of the working time reporting data of the management subjects is:

[0059] S11 determines the feedback data of the managed subject in different types of specific physical indicators based on the analysis results of the physical feedback data, and uses the clinical test data of the time period corresponding to the physical feedback data as matching test data, and determines the preset characterization data of the specific physical indicators under the matching test data based on the analysis results of the matching test data;

[0060] S12 regards specific physical indicators with abnormal matching as abnormal physical indicators, obtains the number of abnormal physical indicators in different clinical trial stages, and determines the data reliability coefficients of different clinical trial stages by using the proportion of the number of abnormal physical indicators in different clinical trial stages;

[0061] S13 determines the reliability coefficient of the working time reporting data of the management subjects through the data reliability coefficients of different clinical trial stages.

[0062] Optionally, before entering step S12, it is necessary to further determine whether there is a specific physical indicator with an abnormal matching situation using the matching situation of the preset characterization data and the feedback data, and then enter step S12. When there is no specific physical indicator with an abnormal matching situation, the reliability coefficient of the working time reporting data of the management subject is determined using the preset reliability coefficient;

[0063] S2 determines that the reliability of the working time reporting data of the clinical trial project meets the requirements based on the reliability coefficient of the management subjects of the clinical trial project, and then proceeds to the next step;

[0064] Furthermore, the reliability of the working hours reporting data of the clinical trial project is determined to meet the requirements, including:

[0065] Determine subjects with abnormal data among the managed subjects based on the reliability coefficients of the managed subjects of the clinical trial project;

[0066] The proportion of the subjects with abnormal data in the number of managed subjects in the clinical trial project is used to determine whether the reliability of the working time reporting data of the clinical trial project meets the requirements.

[0067] It should be noted that when the reliability of the working time reporting data of the clinical trial project does not meet the requirements, the working time reporting data of all staff members will be verified.

[0068] Furthermore, the working time reporting data of all staff members is verified and processed, including:

[0069] Based on the staff's location information and the monitoring device of the working area of ​​the clinical trial project, the staff's visit status in the time periods corresponding to the data reported during different working hours is verified.

[0070] It is understandable that the reliability of the working time reporting data for clinical trial projects meets the requirements, including:

[0071] Determine the subjects with abnormal data among the managed subjects based on the reliability coefficient of the managed subjects of the clinical trial project, and determine the basic reliability coefficient of the working time reporting data of the clinical trial project by using the number and proportion of the subjects with abnormal data;

[0072] Determine the distribution of the reliability coefficient of the managed subjects of the clinical trial project in different intervals through the reliability coefficient of the managed subjects of the clinical trial project, and determine the number of managed subjects in different intervals using the distribution;

[0073] The reliability coefficient compensation amount of the managed subjects is determined by the product of the proportion of the number of managed subjects in different intervals and the preset reliability coefficient weight values ​​corresponding to different intervals. The project reliability coefficient of the man-hour reporting data of the clinical trial project is determined by the sum of the reliability coefficient compensation amount and the basic reliability coefficient. The project reliability coefficient is used to determine whether the reliability of the man-hour reporting data of the clinical trial project meets the requirements.

[0074] Furthermore, the subjects with abnormal data are management subjects whose reliability coefficients do not meet the requirements.

[0075] In addition, it should be noted that the reliability of the working hours reporting data for clinical trial projects meets the requirements, including:

[0076] S21 determining the distribution of the reliability coefficient of the managed subjects of the clinical trial project in different intervals through the reliability coefficient of the managed subjects of the clinical trial project, and determining the number of managed subjects in different intervals using the distribution;

[0077] S22 determines the reliability coefficient compensation amount of the managed subjects by the product of the proportion of the number of managed subjects in different intervals and the preset reliability coefficient weight values ​​corresponding to different intervals, determines the project reliability coefficient of the man-hour reporting data of the clinical trial project by the sum of the reliability coefficient compensation amount and the basic reliability coefficient, and determines whether the reliability of the man-hour reporting data of the clinical trial project meets the requirements by the project reliability coefficient.

[0078] It should be noted that before entering step S22, it is necessary to further determine whether the proportion of the number of managed subjects in a specific interval meets the requirements, and then enter step S22. If the proportion of the number of managed subjects in a specific interval does not meet the requirements, it is determined that the reliability of the working time reporting data of the clinical trial project does not meet the requirements;

[0079] Furthermore, before entering step S21, steps S211-S213 are also included, specifically:

[0080] When it is determined in step S211 that there are subjects with abnormal data among the managed subjects based on the reliability coefficient of the managed subjects of the clinical trial project, the process proceeds to step S212; when there are no subjects with abnormal data among the managed subjects, the process proceeds to step S21;

[0081] S212: When the number of subjects with abnormal data is not less than the number of abnormal subjects, it is determined that the reliability of the working time reporting data of the clinical trial project does not meet the requirements; when the number of subjects with abnormal data is less than the number of abnormal subjects, the process proceeds to step S213;

[0082] S213 uses the number and proportion of subjects with abnormal data and the reliability coefficients of different subjects with abnormal data to determine the basic reliability coefficient of the man-hour reporting data of the clinical trial project. When the basic reliability coefficient of the man-hour reporting data of the clinical trial project does not meet the requirements, it is determined that the reliability of the man-hour reporting data of the clinical trial project does not meet the requirements. When the basic reliability coefficient of the man-hour reporting data of the clinical trial project meets the requirements, the process proceeds to step S21.

[0083] S3 determines that the reliability of the working hours reporting data at different clinical trial stages meets the requirements based on the matching of the physical feedback data of different management subjects at different clinical trial stages with the clinical trial data, and then proceeds to the next step;

[0084] It is understandable that the reliability of the working hours reporting data during the clinical trial stage meets the requirements, including:

[0085] Determine the feedback data of different types of specific physical indicators of the subjects managed during the clinical trial phase based on the analysis results of the physical feedback data, and use the clinical test data of the time period corresponding to the physical feedback data as matching test data;

[0086] Determine preset characterization data of specific physical indicators under the matching test data based on the analysis results of the matching test data, determine the specific physical indicators with abnormal matching conditions based on the matching conditions of the preset characterization data and the feedback data, and use the abnormal physical indicators as the abnormal physical indicators;

[0087] Obtaining managed subjects with abnormal physical indicators in the clinical trial stage and using them as matched abnormal subjects, and determining the indicator reliability coefficients of different matched abnormal subjects in the clinical trial stage according to the number ratios of the abnormal physical indicators of different matched abnormal subjects;

[0088] The phase data reliability coefficient of the clinical trial stage is determined according to the product of the average value of the indicator reliability coefficients of different matched abnormal subjects in the clinical trial stage and the proportion of the matched abnormal subjects in the number of managed subjects. The reliability coefficient of the phase data is used to determine whether the reliability of the working time reporting data in the clinical trial stage meets the requirements.

[0089] Furthermore, the reliability of the working hours reporting data during the clinical trial phase is determined to meet the requirements, including:

[0090] Determine the feedback data of different types of specific physical indicators of the subjects managed during the clinical trial phase based on the analysis results of the physical feedback data, and use the clinical test data of the time period corresponding to the physical feedback data as matching test data;

[0091] Determine preset characterization data of specific physical indicators under the matching test data based on the analysis results of the matching test data, determine the specific physical indicators with abnormal matching conditions based on the matching conditions of the preset characterization data and the feedback data, and use the abnormal physical indicators as the abnormal physical indicators;

[0092] Obtain management subjects with abnormal physical indicators in the clinical trial stage and use them as matching abnormal subjects. Based on the proportion of matching abnormal subjects in the number of management subjects, determine whether the reliability of the working time reporting data in the clinical trial stage meets the requirements.

[0093] Specifically, determining whether the reliability of the working time reporting data in the clinical trial stage meets the requirements includes steps S31-S34, which specifically include:

[0094] S31 determines the feedback data of different types of specific physical indicators of the subjects managed in the clinical trial stage based on the analysis results of the physical feedback data, and uses the clinical test data of the time period corresponding to the physical feedback data as matching test data;

[0095] S32, based on the analysis result of the matching test data, determining preset characterization data of the specific physical index under the matching test data, and using the matching situation of the preset characterization data and the feedback data to determine the specific physical index with abnormal matching situation, and using it as the abnormal physical index;

[0096] Optionally, before entering step S33, it is also necessary to determine that the total number of abnormal physical indicators in the clinical trial stage does not meet the requirements, then determine that the reliability of the working time reporting data in the clinical trial stage does not meet the requirements, and enter step S33 if and only if the total number of abnormal physical indicators in the clinical trial stage meets the requirements;

[0097] S33: acquiring management subjects with abnormal physical indicators in the clinical trial stage and using them as matching abnormal subjects, and determining the indicator reliability coefficients of different matching abnormal subjects in the clinical trial stage according to the number ratios of the abnormal physical indicators of different matching abnormal subjects;

[0098] S34 determines the phase data reliability coefficient of the clinical trial phase according to the product of the average value of the indicator reliability coefficients of different matched abnormal subjects in the clinical trial phase and the proportion of the number of matched abnormal subjects in the management subjects, and determines whether the reliability of the working time reporting data of the clinical trial phase meets the requirements through the phase data reliability coefficient.

[0099] S4 determines the reliability coefficient of the working time reporting data of different staff members in the management subjects, and determines the verification strategy of the working time reporting data of different staff members in combination with the number of management subjects corresponding to different staff members.

[0100] Specifically, Figure 3 As shown, the method for determining the verification strategy of the staff's working time reporting data is:

[0101] Based on the reliability coefficient of the working hours reported by the staff member's management subjects, determine the staff member's data abnormal subjects, and determine the staff member's data abnormality coefficient according to the number of the data abnormal subjects;

[0102] Determine the data abnormality impact coefficient of the staff member based on the proportion of the number of subjects managed by the staff member to all subjects managed in the clinical trial project;

[0103] The comprehensive anomaly coefficient of the staff member is determined by multiplying the data anomaly influence coefficient of the staff member by the data anomaly coefficient, and the verification strategy of the working time reporting data of the staff member is determined using the comprehensive anomaly coefficient.

[0104] Furthermore, the comprehensive abnormal coefficient is used to determine the verification strategy of the staff's working time reporting data, which specifically includes:

[0105] The verification strategy for the staff member's working time reporting data is determined by the preset verification strategy corresponding to the comprehensive abnormality coefficient.

[0106] It can be understood that the verification strategy includes verifying the working time reporting data of only the subjects with abnormal data and verifying the working time reporting data of all the subjects with abnormal data of the staff.

[0107] It should be further explained that the above step S12 specifically includes steps S121 to S123, which specifically include:

[0108] S121 takes the specific physical indicator with abnormal matching as the abnormal physical indicator, obtains the distribution of abnormal physical indicators in different clinical trial stages, and when the number of clinical trial stages with abnormal physical indicators is not less than the preset number of stages, proceeds to step S122; when the number of clinical trial stages without abnormal physical indicators is not less than the preset number of stages, directly proceeds to step S13;

[0109] S122: when the number of the abnormal physical indicators is less than the preset number of indicators, the reliability coefficient of the working time reporting data of the management subject is determined by using the preset reliability coefficient; when the number of the abnormal physical indicators is not less than the preset number of indicators, the process proceeds to step S123;

[0110] S123 When there is no clinical trial stage where the proportion of abnormal physical indicators is greater than the preset proportion, the reliability coefficient of the working time reporting data of the management subjects is determined using the preset reliability coefficient. When there is a clinical trial stage where the proportion of abnormal physical indicators is greater than the preset proportion, step S13 is entered.

[0111] In another embodiment, the above step S33 includes steps S331 and S332, which are specifically:

[0112] S331 obtains the managed subjects with abnormal physical indicators in the clinical trial stage and uses them as matched abnormal subjects. When the proportion of the matched abnormal subjects in the number of managed subjects does not meet the requirement, it is determined that the reliability of the working time reporting data in the clinical trial stage does not meet the requirement. When the proportion of the matched abnormal subjects in the number of managed subjects meets the requirement, enter step S332;

[0113] S332 determines the index reliability coefficients of different matched abnormal subjects in the clinical trial stage by the proportion of the number of abnormal physical indicators of different matched abnormal subjects. When the index reliability coefficient is less than the number of preset index reliability coefficients and does not meet the requirements, it is determined that the reliability of the working time reporting data in the clinical trial stage does not meet the requirements. When the index reliability coefficient is less than the number of preset index reliability coefficients and meets the requirements, enter step S34; Example

[0114] Second, as Figure 4 As shown, the present invention provides a computer system, comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, the above-mentioned method of analyzing and processing working time data is executed.

[0115] 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.

[0116] 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.

[0117] 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 method for analyzing and processing working time data, characterized in that: Specifically include: The working time reporting data is used to determine the management subjects of different staff members, the physical feedback data at different clinical trial stages are determined through the working time reporting data corresponding to different management subjects, and the reliability coefficient of the working time reporting data of different management subjects is determined according to the matching of the physical feedback data and the clinical trial data; Based on the reliability coefficient of the management subjects of the clinical trial project, when it is determined that the reliability of the working time reporting data of the clinical trial project meets the requirements, proceed to the next step; When the reliability of the working hours reporting data at different clinical trial stages meets the requirements based on the matching of the physical feedback data of different management subjects at different clinical trial stages with the clinical trial data, proceed to the next step; Determine the reliability coefficient of the working time reporting data of different staff members in the management subjects, and determine the verification strategy of the working time reporting data of different staff members in combination with the number of management subjects corresponding to different staff members; The method for determining the reliability coefficient of the working time reporting data of the management subject is: Determine the feedback data of the managed subject in different types of specific physical indicators based on the analysis results of the physical feedback data, and use the clinical test data of the time period corresponding to the physical feedback data as matching test data; Determine preset characterization data of specific physical indicators under the matching test data based on the analysis results of the matching test data, determine the specific physical indicators with abnormal matching conditions based on the matching conditions of the preset characterization data and the feedback data, and use the abnormal physical indicators as the abnormal physical indicators; The data reliability coefficients of different clinical trial stages are determined by using the percentage of abnormal physical indicators in different clinical trial stages, and the reliability coefficients of the working hours reporting data of the management subjects are determined by using the data reliability coefficients of different clinical trial stages.

2. The method for analyzing and processing working time data according to claim 1, characterized in that: The management subjects of the staff are determined according to the preset corresponding relationship between the subjects and the staff.

3. The method for analyzing and processing working time data according to claim 1, characterized in that: The physical feedback data is determined based on the analysis results of the work-hour reporting data corresponding to the management subject, and specifically includes feedback on specific physical indicators.

4. The method for analyzing and processing working time data according to claim 1, characterized in that: The reliability coefficient of the working time reporting data of the management subject ranges from 0 to 1, wherein the larger the reliability coefficient of the working time reporting data of the management subject is, the higher the reliability of the working time reporting data of the management subject is.

5. The method for analyzing and processing working time data according to claim 1, characterized in that: The reliability coefficient of the working time reporting data of the management subjects is determined by the data reliability coefficients of different clinical trial stages, specifically including: The average value of the data reliability coefficients of different clinical trial stages is used as the reliability coefficient of the working time reporting data of the management subjects.

6. The method for analyzing and processing working time data according to claim 1, characterized in that: Determine whether the reliability of the working time reporting data of the clinical trial project meets the requirements, including: Determining subjects with abnormal data among the managed subjects based on the reliability coefficients of the managed subjects of the clinical trial project; The proportion of the subjects with abnormal data in the number of managed subjects in the clinical trial project is used to determine whether the reliability of the working time reporting data of the clinical trial project meets the requirements.

7. The method for analyzing and processing working time data according to claim 1, characterized in that: The method for determining the verification strategy of the staff's working time reporting data is as follows: Based on the reliability coefficient of the working hours reported by the staff member's management subjects, determine the staff member's data abnormal subjects, and determine the staff member's data abnormality coefficient according to the number of the data abnormal subjects; Determine the data abnormality impact coefficient of the staff member based on the proportion of the number of subjects managed by the staff member to all subjects managed in the clinical trial project; The comprehensive anomaly coefficient of the staff member is determined by multiplying the data anomaly influence coefficient of the staff member by the data anomaly coefficient, and the verification strategy of the working time reporting data of the staff member is determined using the comprehensive anomaly coefficient.

8. A computer system comprising: A memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, a method for analyzing and processing working time data as described in any one of claims 1-7 is executed.

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