Medical cost and knowledge graph-based staff medical insurance common outpatient service supervision system

Abstract

The invention discloses a staff medical insurance common outpatient service supervision system based on a medical cost and knowledge graph, and relates to the technical field of staff medical insurance common outpatient service supervision. Comprising the steps of collecting and analyzing staff medical insurance common outpatient service supervision data, comprehensively analyzing, optimizing and adjusting. According to the invention, by collecting and processing the staff medical insurance common outpatient service supervision data, analyzing, comprehensively analyzing, optimizing and adjusting the staff medical insurance common outpatient service supervision data, the security of the staff common outpatient service overall planning medical insurance fund is improved, and the problem that the security of the staff common outpatient service overall planning medical insurance fund is insufficient in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of general outpatient supervision of employee medical insurance, and in particular to a general outpatient supervision system of employee medical insurance based on medical expenses and knowledge graph. Background Art

[0002] As the risk points of the use of medical insurance funds have changed, the main risks include over-medicalization, duplicate charges, split charges, false records, and substitution of charges for other items. These risks not only involve drugs and medical services, but also include medical behavior and payment departments. The general outpatient pooling of employee medical insurance is to adjust the way employee medical insurance is accounted for in individual accounts, and to adjust a certain proportion to establish a pooling fund for reimbursement of ordinary outpatient medical expenses for insured employees, aiming to further improve the protection mechanism for employees' "common and frequently occurring diseases."

[0003] The existing employee medical insurance general outpatient supervision system uses risk information warning and verification. The model system can warn of risk information and conduct verification. Through illegal and irregular portrait technology, innovative medical insurance fund use illegal and irregular portrait technology has been developed to help accurately identify and warn of various illegal and irregular uses of medical insurance funds, such as seeking medical treatment under false names and fabricating medical expenses.

[0004] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0005] The system is used in the application scenario of reimbursement of ordinary outpatient medical expenses for insured employees. There is a problem of insufficient security assessment of the ordinary outpatient supervision data of employee medical insurance. The medical insurance fund is widely used and the amount of data is large. It is impossible to fully supervise it with manpower and it needs to rely on the system. In addition, medical institutions have weak awareness of fund risks and inconsistent capabilities, which inevitably lead to negligence and affect the accuracy of the ordinary outpatient supervision data of employee medical insurance. The medical insurance data involves the personal information of insured employees and is not fully encrypted during storage and transmission. There is a problem of insufficient security of the employee ordinary outpatient unified medical insurance fund. Summary of the invention

[0006] The embodiment of the present application solves the problem of insufficient security of the general medical insurance fund for employees' general outpatient care in the prior art by providing an employee medical insurance general outpatient care supervision system based on medical expenses and knowledge graphs, thereby improving the security of the general medical insurance fund for employees' general outpatient care.

[0007] The embodiment of the present application provides an employee medical insurance general outpatient supervision system based on medical expenses and knowledge graph, including: a module for collecting employee medical insurance general outpatient supervision data, a module for analyzing employee medical insurance general outpatient supervision data, a comprehensive analysis module and an optimization and adjustment module: wherein the module for collecting employee medical insurance general outpatient supervision data is used to collect and process employee medical insurance general outpatient supervision data through a network transmission protocol; the module for analyzing employee medical insurance general outpatient supervision data is used to analyze employee medical insurance general outpatient supervision data to obtain a quality assessment value of employee medical insurance general outpatient supervision data and an encryption reliability assessment value of employee medical insurance general outpatient supervision data; the comprehensive analysis module is used to analyze and obtain a safety assessment value of employee medical insurance general outpatient supervision data. ; The optimization and adjustment module is used to compare and analyze the obtained employee medical insurance general outpatient supervision data quality assessment value, employee medical insurance general outpatient supervision data encryption reliability assessment value and employee medical insurance general outpatient supervision security assessment value with the corresponding reference data in turn, and optimize and adjust the employee medical insurance general outpatient supervision method; The specific steps of the comprehensive analysis to obtain the employee medical insurance general outpatient supervision security assessment value are: obtaining the employee medical insurance general outpatient supervision data update frequency of each preset employee medical insurance general outpatient supervision security time detection point through the timestamp server, and combining the employee medical insurance general outpatient supervision data update frequency standard value and the preset employee medical insurance general outpatient supervision data update frequency influencing weight factor to obtain the corresponding data update comprehensive component;

[0008] Combined with the preset weight factors influencing the encryption reliability assessment value of employee medical insurance general outpatient supervision data, the encryption reliability assessment value of employee medical insurance general outpatient supervision data at each employee medical insurance general outpatient supervision data encryption reliability time detection point is statistically analyzed to obtain the corresponding comprehensive component of data encryption reliability;

[0009] Combined with the preset weight factors affecting the quality assessment value of employee medical insurance general outpatient supervision data, the quality assessment value of employee medical insurance general outpatient supervision data at each employee medical insurance general outpatient supervision data quality detection point is statistically analyzed to obtain the corresponding data quality comprehensive component, and combined with the obtained data update comprehensive component and data encryption reliability comprehensive component analysis to obtain the employee medical insurance general outpatient supervision security assessment value.

[0010] Furthermore, the specific steps for collecting and processing the general outpatient supervision data of employee medical insurance through the network transmission protocol are: obtaining the original data of general outpatient supervision of employee medical insurance through the network transmission protocol; cleaning and denoising the original data of general outpatient supervision of employee medical insurance to obtain the general outpatient supervision data of employee medical insurance.

[0011] Furthermore, the system for collecting and processing employee medical insurance general outpatient supervision data through a network transmission protocol also includes: the employee medical insurance general outpatient supervision data includes employee medical insurance general outpatient supervision data quality data and employee medical insurance general outpatient supervision data encryption reliability data; obtaining a preset employee medical insurance general outpatient supervision data processing rate threshold, network bandwidth utilization threshold, employee medical insurance general outpatient supervision data collection frequency standard value, power spectrum density standard value, network delay difference standard value, employee medical insurance general outpatient supervision data noise threshold, employee medical insurance general outpatient supervision data key usage times standard value, key bit standard value, employee medical insurance general outpatient supervision data key maximum rotation frequency standard value, employee medical insurance general outpatient supervision data key minimum rotation frequency standard value, employee medical insurance general outpatient supervision data encryption storage times standard value and employee medical insurance general outpatient supervision data encryption transmission times standard value from the employee medical insurance general outpatient supervision database.

[0012] Furthermore, the specific process of obtaining the quality assessment value of the employee medical insurance general outpatient supervision data is as follows: obtaining the network fluctuation delay peak value of the preset employee medical insurance general outpatient supervision data quality time detection point through a network traffic analyzer; obtaining the network fluctuation delay valley value of the preset employee medical insurance general outpatient supervision data quality time detection point through a network traffic analyzer; obtaining the employee medical insurance general outpatient supervision data noise of the preset employee medical insurance general outpatient supervision data quality time detection point through a signal processing device; obtaining the employee medical insurance general outpatient supervision data processing rate of the preset employee medical insurance general outpatient supervision data quality time detection point through a performance monitoring tool; obtaining the network fluctuation delay valley value of the preset employee medical insurance general outpatient supervision data quality time detection point through a bandwidth monitoring software The network bandwidth utilization rate is as follows: the frequency of collecting data for ordinary outpatient clinics under the employee medical insurance of a preset time detection point for the quality of ordinary outpatient clinics under the employee medical insurance is obtained through the network transmission protocol (TCP / IP and HTTP); the power spectrum density of the preset time detection point for the quality of ordinary outpatient clinics under the employee medical insurance is obtained through the signal analyzer; the quality data of ordinary outpatient clinics under the employee medical insurance includes the peak value of network fluctuation delay, the valley value of network fluctuation delay, the noise of ordinary outpatient clinics under the employee medical insurance, the processing rate of ordinary outpatient clinics under the employee medical insurance, the network bandwidth utilization rate, the frequency of collecting data for ordinary outpatient clinics under the employee medical insurance, and the power spectrum density; the quality assessment value of ordinary outpatient clinics under the employee medical insurance is obtained according to the data analysis of the quality of ordinary outpatient clinics under the employee medical insurance.

[0013] Furthermore, the specific steps for obtaining the encryption reliability evaluation value of the employee medical insurance general outpatient supervision data are: obtaining the network fluctuation delay peak value of the preset employee medical insurance general outpatient supervision data encryption reliability time detection point through a network traffic analyzer; obtaining the network fluctuation delay valley value of the preset employee medical insurance general outpatient supervision data encryption reliability time detection point through a network traffic analyzer; obtaining the employee medical insurance general outpatient supervision data noise at the preset employee medical insurance general outpatient supervision data encryption reliability time detection point through data analysis software; obtaining the number of key bits at the preset employee medical insurance general outpatient supervision data encryption reliability time detection point through encryption software; obtaining the maximum rotation frequency of the employee medical insurance general outpatient supervision data key at the preset employee medical insurance general outpatient supervision data encryption reliability time detection point through a key management system; obtaining the minimum rotation frequency of the employee medical insurance general outpatient supervision data key at the preset employee medical insurance general outpatient supervision data encryption reliability time detection point through a key management system; obtaining the preset employee medical insurance general outpatient supervision data encryption reliability time detection point through a security audit tool The number of encrypted storage times of employee medical insurance general outpatient supervision data at the data encryption reliability time detection point; the number of encrypted transmission times of employee medical insurance general outpatient supervision data at the preset employee medical insurance general outpatient supervision data encryption reliability time detection point is obtained through the security audit tool; the number of times the employee medical insurance general outpatient supervision data key is used at the preset employee medical insurance general outpatient supervision data encryption reliability time detection point is obtained through the key usage audit; the employee medical insurance general outpatient supervision data encryption reliability data includes the network fluctuation delay peak, the network fluctuation delay valley, the employee medical insurance general outpatient supervision data noise, the number of key bits, the maximum rotation frequency of the employee medical insurance general outpatient supervision data key, the minimum rotation frequency of the employee medical insurance general outpatient supervision data key, the number of encrypted storage times of employee medical insurance general outpatient supervision data, the number of encrypted transmission times of employee medical insurance general outpatient supervision data and the number of times the employee medical insurance general outpatient supervision data key is used; the employee medical insurance general outpatient supervision data encryption reliability evaluation value is obtained according to the analysis of the employee medical insurance general outpatient supervision data encryption reliability.

[0014] Furthermore, the method for optimizing and adjusting the supervision of ordinary outpatient clinics of employee medical insurance includes a method for optimizing the data quality of ordinary outpatient clinics of employee medical insurance, a method for optimizing the encryption reliability of data of ordinary outpatient clinics of employee medical insurance, and a method for optimizing and adjusting the security of ordinary outpatient clinics of employee medical insurance; the specific steps of the method for optimizing the data quality of ordinary outpatient clinics of employee medical insurance are: if the quality assessment value of ordinary outpatient clinics of employee medical insurance supervision data is lower than or equal to the first threshold value of the quality assessment value of ordinary outpatient clinics of employee medical insurance supervision data, there is no need to optimize the data quality method of ordinary outpatient clinics of employee medical insurance supervision data; if the quality assessment value of ordinary outpatient clinics of employee medical insurance supervision data is greater than the first threshold value of the quality assessment value of ordinary outpatient clinics of employee medical insurance supervision data, then the difference between the quality assessment value of ordinary outpatient clinics of employee medical insurance supervision data and the first threshold value of the quality assessment value of ordinary outpatient clinics of employee medical insurance supervision data is used to match the corresponding adjustment plan in the ordinary outpatient clinic supervision database of employee medical insurance.

[0015] Furthermore, the specific steps of the method for optimizing the encryption reliability of employee medical insurance general outpatient supervision data are as follows: if the encryption reliability evaluation value of employee medical insurance general outpatient supervision data is greater than or equal to the second threshold value of the encryption reliability evaluation value of employee medical insurance general outpatient supervision data, there is no need to optimize the encryption reliability method of employee medical insurance general outpatient supervision data; if the encryption reliability evaluation value of employee medical insurance general outpatient supervision data is lower than the second threshold value of the encryption reliability evaluation value of employee medical insurance general outpatient supervision data, then the difference between the encryption reliability evaluation value of employee medical insurance general outpatient supervision data and the second threshold value of the encryption reliability evaluation value of employee medical insurance general outpatient supervision data is used to match the corresponding adjustment plan in the employee medical insurance general outpatient supervision database.

[0016] Furthermore, the specific steps of optimizing and adjusting the safety method of ordinary outpatient supervision of employee medical insurance are: extracting the comprehensive threshold of the safety assessment value of ordinary outpatient supervision of employee medical insurance from the ordinary outpatient supervision database of employee medical insurance, and comparing the safety assessment value of ordinary outpatient supervision of employee medical insurance with the comprehensive threshold of the safety assessment value of ordinary outpatient supervision of employee medical insurance; if the safety assessment value of ordinary outpatient supervision of employee medical insurance is greater than or equal to the comprehensive threshold of the safety assessment value of ordinary outpatient supervision of employee medical insurance, there is no need to optimize and adjust the safety method of ordinary outpatient supervision of employee medical insurance.

[0017] Furthermore, the method for optimizing and adjusting the safety of ordinary outpatient supervision of employee medical insurance also includes: if the safety assessment value of ordinary outpatient supervision of employee medical insurance is lower than the comprehensive threshold of the safety assessment value of ordinary outpatient supervision of employee medical insurance, then the corresponding adjustment plan in the ordinary outpatient supervision database of employee medical insurance is matched through the difference between the safety assessment value of ordinary outpatient supervision of employee medical insurance and the comprehensive threshold of the safety assessment value of ordinary outpatient supervision of employee medical insurance.

[0018] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0019] 1. By collecting and processing the supervision data of ordinary outpatient clinics of employee medical insurance, analyzing the supervision data of ordinary outpatient clinics of employee medical insurance, comprehensive analysis and optimization and adjustment, the security of the unified medical insurance fund for ordinary outpatient clinics of employees is improved, and the problem of insufficient security of the unified medical insurance fund for ordinary outpatient clinics of employees in the existing technology is solved.

[0020] 2. By analyzing the general outpatient supervision data of employee medical insurance, we can better understand the use of outpatient services, optimize resource allocation, improve the efficiency of medical services, and help discover abnormal patterns and non-compliant behaviors, thereby reducing medical insurance fraud and abuse and protecting the security of medical insurance funds.

[0021] 3. By comprehensively analyzing and optimizing the security methods of general outpatient supervision of employee medical insurance, improving data security, preventing the leakage of personal information and sensitive data of insured persons, protecting personal information, and optimizing the supervision process, the efficiency of medical insurance management can be improved and unnecessary review and reexamination work can be reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A schematic diagram of the structure of the employee medical insurance general outpatient supervision system based on medical expenses and knowledge graph provided in the embodiment of the present application;

[0023] Figure 2 A schematic diagram of the safety assessment value function for general outpatient supervision of employee medical insurance provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The embodiment of the present application solves the problem of insufficient security of the employee medical insurance general outpatient supervision system in the prior art by providing an employee medical insurance general outpatient supervision system based on medical expenses and knowledge graphs, and improves the security of the employee medical insurance general outpatient unified medical insurance fund by collecting and processing employee medical insurance general outpatient supervision data, analyzing the employee medical insurance general outpatient supervision data, and comprehensively analyzing and optimizing and adjusting.

[0025] The technical solution in the embodiment of the present application is to solve the problem of insufficient security of the above-mentioned employee medical insurance general outpatient supervision system. The overall idea is as follows:

[0026] By collecting and processing the supervision data of ordinary outpatient clinics of employee medical insurance, analyzing the supervision data of ordinary outpatient clinics of employee medical insurance, comprehensive analysis and optimization and adjustment, the security of the unified medical insurance fund for ordinary outpatient clinics of employee medical insurance is improved.

[0027] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0028] like Figure 1As shown, it is a structural schematic diagram of the employee medical insurance general outpatient supervision system based on medical expenses and knowledge graph provided in the embodiment of the present application. The employee medical insurance general outpatient supervision system based on medical expenses and knowledge graph provided in the embodiment of the present application includes: a module for collecting employee medical insurance general outpatient supervision data, a module for analyzing employee medical insurance general outpatient supervision data, a comprehensive analysis module and an optimization and adjustment module: wherein, the module for collecting employee medical insurance general outpatient supervision data is used to collect and process employee medical insurance general outpatient supervision data through a network transmission protocol; the employee medical insurance general outpatient supervision data analysis module is used to analyze the employee medical insurance general outpatient supervision data, obtain the employee medical insurance general outpatient supervision data quality assessment value and obtain the employee medical insurance general outpatient supervision data quality assessment value. Data encryption reliability assessment value; the comprehensive analysis module is used to analyze and obtain the employee medical insurance general outpatient supervision safety assessment value; the optimization and adjustment module is used to compare and analyze the obtained employee medical insurance general outpatient supervision data quality assessment value, employee medical insurance general outpatient supervision data encryption reliability assessment value and employee medical insurance general outpatient supervision safety assessment value with the corresponding reference data in turn, and optimize and adjust the employee medical insurance general outpatient supervision method, specifically: compare and analyze the employee medical insurance general outpatient supervision data quality assessment value with the employee medical insurance general outpatient supervision data quality assessment value first threshold value, optimize the employee medical insurance general outpatient supervision data quality method; compare the employee medical insurance general outpatient supervision data encryption reliability assessment value with the employee medical insurance general outpatient supervision data According to the comparative analysis of the second threshold of the encryption reliability evaluation value, the encryption reliability method of the employee medical insurance general outpatient supervision data is optimized; the employee medical insurance general outpatient supervision security evaluation value is compared and analyzed with the comprehensive threshold of the employee medical insurance general outpatient supervision security evaluation value, and the employee medical insurance general outpatient supervision security method is optimized and adjusted; the specific steps of the comprehensive analysis to obtain the employee medical insurance general outpatient supervision security evaluation value are: the employee medical insurance general outpatient supervision data update frequency of each preset employee medical insurance general outpatient supervision security time detection point is obtained through the timestamp server, and the corresponding data update comprehensive component is obtained in combination with the employee medical insurance general outpatient supervision data update frequency standard value and the preset employee medical insurance general outpatient supervision data update frequency influencing weight factor; combined with the preset Assume that the weight factor influencing the encryption reliability assessment value of employee medical insurance general outpatient supervision data is statistically analyzed, and the encryption reliability assessment value of employee medical insurance general outpatient supervision data encryption reliability at each employee medical insurance general outpatient supervision data encryption reliability time detection point is obtained to obtain the corresponding data encryption reliability comprehensive component; combine the preset employee medical insurance general outpatient supervision data quality assessment value influencing weight factor to statistically analyze the employee medical insurance general outpatient supervision data quality assessment value at each employee medical insurance general outpatient supervision data quality time detection point to obtain the corresponding data quality comprehensive component, and combine the obtained data update comprehensive component and data encryption reliability comprehensive component analysis to obtain the employee medical insurance general outpatient supervision security assessment value; the specific formula of the employee medical insurance general outpatient supervision security assessment value is: ; ;

[0029] In the formula, It represents the safety assessment value of general outpatient supervision of employee medical insurance. Indicates The encryption reliability assessment value of employee medical insurance general outpatient supervision data at each employee medical insurance general outpatient supervision data encryption reliability time detection point, Indicates The quality assessment value of the employee medical insurance general outpatient supervision data at each employee medical insurance general outpatient supervision data quality time detection point, Indicates The update frequency of employee medical insurance general outpatient supervision data under the employee medical insurance general outpatient supervision safety time detection point, Indicates the standard value of the update frequency of employee medical insurance general outpatient supervision data. The weight factor affecting the encrypted reliability assessment value of the preset employee medical insurance general outpatient supervision data obtained from the employee medical insurance general outpatient supervision database, is the influencing weight factor of the preset employee medical insurance general outpatient supervision data quality assessment value obtained from the employee medical insurance general outpatient supervision database, It is the weight factor affecting the update frequency of the preset employee medical insurance general outpatient supervision data obtained from the employee medical insurance general outpatient supervision database.

[0030] In this embodiment, employee medical insurance general outpatient supervision data is collected and processed through network transmission protocols, and the network transmission protocols include TCP / IP and HTTP.

[0031] The preset weight factors affecting the encryption reliability assessment value of employee medical insurance general outpatient supervision data, the preset weight factors affecting the quality assessment value of employee medical insurance general outpatient supervision data and the preset weight factors affecting the updating frequency of employee medical insurance general outpatient supervision data are obtained through mapping relationships. For example, through the relationship between the encryption reliability assessment value of employee medical insurance general outpatient supervision data, the quality assessment value of employee medical insurance general outpatient supervision data and the updating frequency of employee medical insurance general outpatient supervision data in historical data and the data transmission rate, a mapping set of the encryption reliability assessment value of employee medical insurance general outpatient supervision data, the quality assessment value of employee medical insurance general outpatient supervision data and the updating frequency of employee medical insurance general outpatient supervision data and their corresponding weights is established respectively. By inputting the real-time encryption reliability assessment value of employee medical insurance general outpatient supervision data, the quality assessment value of employee medical insurance general outpatient supervision data and the updating frequency of employee medical insurance general outpatient supervision data, the corresponding preset weight factors affecting the encryption reliability assessment value of employee medical insurance general outpatient supervision data, the preset weight factors affecting the quality assessment value of employee medical insurance general outpatient supervision data and the preset weight factors affecting the updating frequency of employee medical insurance general outpatient supervision data are obtained in the mapping set.

[0032] Table 1 is an example table of employee medical insurance general outpatient supervision safety assessment values. The example parameters in Table 1 only take the parameters of one employee medical insurance general outpatient supervision safety time detection point as an example. The weight factor Set to 0.4, weight factor Set to 0.3, weight factor Set to 0.3, The standard value for the update frequency of general outpatient supervision data of employee medical insurance is 2, as shown in Table 1.

[0033]

[0034] The encryption reliability assessment value of the ordinary outpatient supervision data of the employee medical insurance measures the effectiveness and reliability of the encryption measures during the storage and transmission of the medical insurance data. If the data encryption is unreliable, the data quality will be reduced. If the data quality is damaged due to security issues, the smaller the encryption reliability assessment value of the ordinary outpatient supervision data of the employee medical insurance is, the larger the quality assessment value of the ordinary outpatient supervision data of the employee medical insurance is; the greater the update frequency of the ordinary outpatient supervision data of the employee medical insurance, the increased risk of data leakage, and the lower the encryption reliability assessment value of the ordinary outpatient supervision data of the employee medical insurance is; the greater the update frequency of the ordinary outpatient supervision data of the employee medical insurance, the increased risk of data leakage, and the larger the quality assessment value of the ordinary outpatient supervision data of the employee medical insurance is.

[0035] It can be seen from Table 1 that there is a positive correlation between the encryption reliability assessment value of employee medical insurance ordinary outpatient supervision data and the safety assessment value of employee medical insurance ordinary outpatient supervision. The higher the security of data during storage and transmission, the better the security and integrity of the data are guaranteed. The larger the encryption reliability assessment value of employee medical insurance ordinary outpatient supervision data, the larger the safety assessment value of employee medical insurance ordinary outpatient supervision; there is a negative correlation between the quality assessment value of employee medical insurance ordinary outpatient supervision data and the safety assessment value of employee medical insurance ordinary outpatient supervision. Decision-making errors and system loopholes caused by erroneous data, the larger the quality assessment value of employee medical insurance ordinary outpatient supervision data, the smaller the safety assessment value of employee medical insurance ordinary outpatient supervision; there is a negative correlation between the absolute value of the difference between the update frequency of employee medical insurance ordinary outpatient supervision data and the standard value of the update frequency of employee medical insurance ordinary outpatient supervision data and the safety assessment value of employee medical insurance ordinary outpatient supervision. Encryption and data verification have not been strengthened simultaneously, resulting in data exposure to risks during frequent updates. The larger the absolute value of the difference between the update frequency of employee medical insurance ordinary outpatient supervision data and the standard value of the update frequency of employee medical insurance ordinary outpatient supervision data, the smaller the safety assessment value of employee medical insurance ordinary outpatient supervision.

[0036] like Figure 2 As shown, it is a schematic diagram of the safety assessment value function of the employee medical insurance general outpatient supervision provided in the embodiment of the present application; x is the positive semi-axis of the horizontal axis, y is the positive semi-axis of the vertical axis, and the weight factor Set to 0.4, weight factor Set to 0.3, weight factor Set to 0.3, The standard value for the update frequency of general outpatient supervision data of employee medical insurance is 2.

[0037] Curve a indicates that if the quality assessment value of the employee medical insurance general outpatient supervision data is set to a fixed value of 1, the update frequency of the employee medical insurance general outpatient supervision data is set to a fixed value of 1, the distributed energy power load data synchronization assessment index is x, and the employee medical insurance general outpatient supervision security assessment value is y, the employee medical insurance general outpatient supervision security assessment value increases with the increase of the employee medical insurance general outpatient supervision data encryption reliability assessment value.

[0038] Furthermore, the specific steps for collecting and processing the general outpatient supervision data of employee medical insurance through the network transmission protocol are: obtaining the original data of general outpatient supervision of employee medical insurance through the network transmission protocol; cleaning and denoising the original data of general outpatient supervision of employee medical insurance to obtain the general outpatient supervision data of employee medical insurance.

[0039] Further, the method for collecting and processing employee medical insurance general outpatient supervision data through a network transmission protocol also includes: the employee medical insurance general outpatient supervision data includes employee medical insurance general outpatient supervision data quality data and employee medical insurance general outpatient supervision data encryption reliability data; obtaining a preset employee medical insurance general outpatient supervision data processing rate threshold, a network bandwidth utilization threshold, an employee medical insurance general outpatient supervision data collection frequency standard value, a power spectrum density standard value, a network delay difference standard value, an employee medical insurance general outpatient supervision data noise threshold, an employee medical insurance general outpatient supervision data key usage times standard value, a key bit number standard value, an employee medical insurance general outpatient supervision data key maximum rotation frequency standard value, an employee medical insurance general outpatient supervision data key minimum rotation frequency standard value, an employee medical insurance general outpatient supervision data encryption storage times standard value and an employee medical insurance general outpatient supervision data encryption transmission times standard value from an employee medical insurance general outpatient supervision database.

[0040] Furthermore, the specific process of obtaining the quality assessment value of the employee medical insurance general outpatient supervision data is as follows: obtain the network fluctuation delay peak value of the preset employee medical insurance general outpatient supervision data quality time detection point through a network traffic analyzer; obtain the network fluctuation delay valley value of the preset employee medical insurance general outpatient supervision data quality time detection point through a network traffic analyzer; obtain the employee medical insurance general outpatient supervision data noise at the preset employee medical insurance general outpatient supervision data quality time detection point through a signal processing device; obtain the employee medical insurance general outpatient supervision data processing rate at the preset employee medical insurance general outpatient supervision data quality time detection point through a performance monitoring tool; obtain the preset employee medical insurance general outpatient supervision data quality time detection point through a bandwidth monitoring software The network bandwidth utilization rate of the detection point; the collection frequency of the employee medical insurance general outpatient supervision data of the preset employee medical insurance general outpatient supervision data quality time detection point is obtained through the network transmission protocol; the power spectrum density of the preset employee medical insurance general outpatient supervision data quality time detection point is obtained through the signal analyzer; the employee medical insurance general outpatient supervision data quality data includes the network fluctuation delay peak value, the network fluctuation delay valley value, the employee medical insurance general outpatient supervision data noise, the employee medical insurance general outpatient supervision data processing rate, the network bandwidth utilization rate, the employee medical insurance general outpatient supervision data collection frequency and the power spectrum density; the employee medical insurance general outpatient supervision data quality assessment value is obtained according to the employee medical insurance general outpatient supervision data quality data analysis.

[0041] In this embodiment, the specific method for analyzing and obtaining the quality assessment value of employee medical insurance general outpatient supervision data is as follows:

[0042] The preset employee medical insurance general outpatient supervision data quality time detection points are numbered in sequence. Indicates The number of the time detection point for the employee medical insurance general outpatient supervision data quality under the employee medical insurance general outpatient supervision data quality detection section, , Represents the total number of numbers of time inspection points for the quality of employee medical insurance general outpatient supervision data.

[0043] Divide the preset employee medical insurance general outpatient supervision data quality time into employee medical insurance general outpatient supervision data quality detection segments of the same length. Indicates the number of the quality detection section of the employee medical insurance general outpatient supervision data. , Indicates the total number of numbers for the quality inspection segments of employee medical insurance general outpatient supervision data.

[0044] Indicates The quality assessment value of the employee medical insurance general outpatient supervision data at each employee medical insurance general outpatient supervision data quality time detection point.

[0045] Indicates The network delay fluctuation influence coefficient under the time detection period of employee medical insurance general outpatient supervision data quality.

[0046] Indicates The noise impact coefficient of the general outpatient supervision data of employee medical insurance under each time detection point of the general outpatient supervision data quality of employee medical insurance.

[0047] It represents the processing rate threshold of employee medical insurance general outpatient supervision data, which is the preset employee medical insurance general outpatient supervision data processing rate threshold obtained from the employee medical insurance general outpatient supervision database, and can be the average value of the employee medical insurance general outpatient supervision data processing rate under the preset employee medical insurance general outpatient supervision data quality time detection point from the historical database.

[0048] Indicates The processing rate of employee medical insurance general outpatient supervision data at each employee medical insurance general outpatient supervision data quality time detection point.

[0049] It represents the network bandwidth utilization threshold, which is the preset network bandwidth utilization threshold obtained from the employee medical insurance general outpatient supervision database, and can be the average network bandwidth utilization value at the preset employee medical insurance general outpatient supervision data quality time detection point from the historical database.

[0050] Indicates Network bandwidth utilization rate at each employee medical insurance general outpatient supervision data quality time detection point.

[0051] Indicates The frequency of collecting employee medical insurance general outpatient supervision data under each employee medical insurance general outpatient supervision data quality time detection point.

[0052] It represents the standard value of the frequency of collecting data for employee medical insurance general outpatient clinic supervision, which is the preset standard value of the frequency of collecting data for employee medical insurance general outpatient clinic supervision obtained from the employee medical insurance general outpatient clinic supervision database, or it can be the average value of the frequency of collecting data for employee medical insurance general outpatient clinic supervision under the preset employee medical insurance general outpatient clinic supervision data quality time detection point from the historical database.

[0053] Indicates The power spectral density of the employee medical insurance general outpatient supervision data quality time detection point.

[0054] It represents the standard value of power spectrum density, which is the preset standard value of power spectrum density obtained from the employee medical insurance general outpatient supervision database, and can be the average value of power spectrum density under the preset employee medical insurance general outpatient supervision data quality time detection point from the historical database.

[0055] Indicates The network fluctuation delay peak value under the data quality time detection period of the employee medical insurance general outpatient supervision. The network fluctuation delay peak value refers to the maximum delay time experienced by the data packet during the transmission process due to the instability of the network quality during the network communication process, including all delays experienced from the data packet leaving the sender to arriving at the receiver, such as processing delay, queuing delay, transmission delay and propagation delay.

[0056] Indicates The network fluctuation delay valley value under the time detection period of employee medical insurance general outpatient supervision data quality. The network fluctuation delay valley value refers to the delay time when the network quality is stable during the network communication process.

[0057] It represents the standard value of network delay difference, which is the preset standard value of network delay difference obtained from the employee medical insurance general outpatient supervision database, and can be the average value of network delay difference under the quality time detection period of employee medical insurance general outpatient supervision data preset in the historical database.

[0058] Indicates The noise of employee medical insurance general outpatient supervision data under the employee medical insurance general outpatient supervision data quality time detection point.

[0059] It represents the noise threshold of employee medical insurance general outpatient supervision data, which is the preset employee medical insurance general outpatient supervision data noise threshold obtained from the employee medical insurance general outpatient supervision database, and can be the average value of employee medical insurance general outpatient supervision data noise at the preset employee medical insurance general outpatient supervision data quality time detection point from the historical database.

[0060] It is the weight factor affecting the processing rate of the preset employee medical insurance general outpatient supervision data obtained from the employee medical insurance general outpatient supervision database.

[0061] It is the preset network bandwidth utilization influencing weight factor obtained from the employee medical insurance general outpatient supervision database.

[0062] The preset employee medical insurance general outpatient supervision data collection frequency influencing weight factors obtained from the employee medical insurance general outpatient supervision database.

[0063] The preset power spectral density impact weight factor is obtained from the employee medical insurance general outpatient supervision database.

[0064] The preset network delay fluctuation impact factor is obtained from the employee medical insurance general outpatient supervision database.

[0065] The noise impact factor of the preset employee medical insurance general outpatient supervision data obtained from the employee medical insurance general outpatient supervision database.

[0066] The preset weight factors affecting the processing rate of ordinary outpatient supervision data of employee medical insurance, the preset weight factors affecting the network bandwidth utilization, the preset weight factors affecting the collection frequency of ordinary outpatient supervision data of employee medical insurance and the preset weight factors affecting the power spectrum density are obtained through mapping relationships. For example, through the relationships between the processing rate of ordinary outpatient supervision data of employee medical insurance, the network bandwidth utilization, the collection frequency of ordinary outpatient supervision data of employee medical insurance, the power spectrum density and the data update frequency in the historical data, mapping sets of the processing rate of ordinary outpatient supervision data of employee medical insurance, the network bandwidth utilization, the collection frequency of ordinary outpatient supervision data of employee medical insurance, the power spectrum density and their corresponding weights are established respectively. By inputting the real-time processing rate of ordinary outpatient supervision data of employee medical insurance, the network bandwidth utilization, the collection frequency of ordinary outpatient supervision data of employee medical insurance and the power spectrum density, the corresponding preset weight factors affecting the processing rate of ordinary outpatient supervision data of employee medical insurance, the preset weight factors affecting the network bandwidth utilization, the preset weight factors affecting the collection frequency of ordinary outpatient supervision data of employee medical insurance and the preset weight factors affecting the power spectrum density are obtained.

[0067] The preset network delay fluctuation impact factor and the preset employee medical insurance general outpatient supervision data noise impact factor are obtained through mapping relationships. For example, through the relationship between network delay fluctuation and employee medical insurance general outpatient supervision data noise in historical data and network bandwidth, mapping sets of network delay fluctuation and employee medical insurance general outpatient supervision data noise and their corresponding weights are established respectively. By inputting real-time network delay fluctuation and employee medical insurance general outpatient supervision data noise, the corresponding preset network delay fluctuation impact factor and preset employee medical insurance general outpatient supervision data noise impact factor in the mapping set are obtained.

[0068] The greater the difference between the network fluctuation delay peak and the network fluctuation delay valley, the greater the network volatility, resulting in errors or loss of data during transmission, thereby increasing data noise, and the noise of the employee medical insurance general outpatient supervision data increases; the greater the frequency of employee medical insurance general outpatient supervision data collection, the higher the processing rate is required to maintain efficiency, and the faster the employee medical insurance general outpatient supervision data processing rate; the greater the network bandwidth utilization rate, the higher the bandwidth is required to support data transmission, and the faster the employee medical insurance general outpatient supervision data processing rate; the noise of the employee medical insurance general outpatient supervision data increases, and the power spectrum density increases.

[0069] There is a positive correlation between the square of the difference between the network fluctuation delay peak and the network fluctuation delay valley and the quality assessment value of the employee medical insurance general outpatient supervision data. The network performance degrades during peak hours, resulting in data transmission interruption or errors. The larger the square of the difference between the network fluctuation delay peak and the network fluctuation delay valley, the larger the quality assessment value of the employee medical insurance general outpatient supervision data; there is a positive correlation between the noise of the employee medical insurance general outpatient supervision data and the quality assessment value of the employee medical insurance general outpatient supervision data. The lower the accuracy and reliability of the data, the greater the noise of the employee medical insurance general outpatient supervision data, and the larger the quality assessment value of the employee medical insurance general outpatient supervision data; there is a negative correlation between the processing rate of the employee medical insurance general outpatient supervision data and the quality assessment value of the employee medical insurance general outpatient supervision data. The more timely the data processing, the less data backlog and errors. The greater the processing rate of the employee medical insurance general outpatient supervision data, the smaller the quality assessment value of the employee medical insurance general outpatient supervision data; the network bandwidth There is a negative correlation between bandwidth utilization and the quality assessment value of employee medical insurance ordinary outpatient supervision data, which is conducive to the efficiency of data transmission. The greater the network bandwidth utilization, the smaller the quality assessment value of employee medical insurance ordinary outpatient supervision data; there is a positive correlation between the absolute value of the difference between the collection frequency of employee medical insurance ordinary outpatient supervision data and the standard value of the collection frequency of employee medical insurance ordinary outpatient supervision data and the quality assessment value of employee medical insurance ordinary outpatient supervision data, which causes the system to be unable to handle it or introduce more noise. The greater the absolute value of the difference between the collection frequency of employee medical insurance ordinary outpatient supervision data and the standard value of the collection frequency of employee medical insurance ordinary outpatient supervision data, the greater the quality assessment value of employee medical insurance ordinary outpatient supervision data; there is a positive correlation between the absolute value of power spectral density and the power spectral density difference and the quality assessment value of employee medical insurance ordinary outpatient supervision data, indicating that the noise level is high. The greater the absolute value of power spectral density and the power spectral density difference, the greater the quality assessment value of employee medical insurance ordinary outpatient supervision data.

[0070] Furthermore, the specific steps for obtaining the encryption reliability evaluation value of the employee medical insurance general outpatient supervision data are as follows: obtaining the network fluctuation delay peak value of the preset employee medical insurance general outpatient supervision data encryption reliability time detection point through a network traffic analyzer; obtaining the network fluctuation delay valley value of the preset employee medical insurance general outpatient supervision data encryption reliability time detection point through a network traffic analyzer; obtaining the employee medical insurance general outpatient supervision data noise at the preset employee medical insurance general outpatient supervision data encryption reliability time detection point through data analysis software; obtaining the number of key bits at the preset employee medical insurance general outpatient supervision data encryption reliability time detection point through encryption software; obtaining the maximum rotation frequency of the employee medical insurance general outpatient supervision data key at the preset employee medical insurance general outpatient supervision data encryption reliability time detection point through a key management system; obtaining the minimum rotation frequency of the employee medical insurance general outpatient supervision data key at the preset employee medical insurance general outpatient supervision data encryption reliability time detection point through a key management system; obtaining the preset employee medical insurance general outpatient supervision data encryption reliability time detection point through a security audit tool The number of encrypted storage times of employee medical insurance general outpatient supervision data at the encryption reliability time detection point is obtained; the number of encrypted transmission times of employee medical insurance general outpatient supervision data at the preset employee medical insurance general outpatient supervision data encryption reliability time detection point is obtained through the security audit tool; the number of times the employee medical insurance general outpatient supervision data key is used at the preset employee medical insurance general outpatient supervision data encryption reliability time detection point is obtained through the key usage audit; the employee medical insurance general outpatient supervision data encryption reliability data includes the network fluctuation delay peak value, the network fluctuation delay valley value, the employee medical insurance general outpatient supervision data noise, the number of key bits, the maximum rotation frequency of the employee medical insurance general outpatient supervision data key, the minimum rotation frequency of the employee medical insurance general outpatient supervision data key, the number of encrypted storage times of employee medical insurance general outpatient supervision data, the number of encrypted transmission times of employee medical insurance general outpatient supervision data and the number of times the employee medical insurance general outpatient supervision data key is used; the employee medical insurance general outpatient supervision data encryption reliability evaluation value is obtained according to the analysis of the employee medical insurance general outpatient supervision data encryption reliability.

[0071] In this embodiment, the specific method for analyzing and obtaining the encryption reliability evaluation value of employee medical insurance general outpatient supervision data is as follows:

[0072] The preset employee medical insurance general outpatient supervision data encryption reliability time detection points are numbered in sequence. Indicates The number of the employee medical insurance general outpatient supervision data encryption reliability time detection point under the employee medical insurance general outpatient supervision data encryption reliability detection section, , Represents the total number of encryption reliability time detection points for employee medical insurance general outpatient supervision data.

[0073] Divide the preset employee medical insurance general outpatient supervision data encryption reliability time into employee medical insurance general outpatient supervision data encryption reliability detection segments of the same length. Indicates the number of the encryption reliability detection segment of the employee medical insurance general outpatient supervision data. , It indicates the total number of encryption reliability detection segments of employee medical insurance general outpatient supervision data.

[0074] Indicates The encryption reliability assessment value of the employee medical insurance general outpatient supervision data at each employee medical insurance general outpatient supervision data encryption reliability time detection point.

[0075] Indicates The network delay fluctuation correction coefficient under the encryption reliability detection section of employee medical insurance general outpatient supervision data.

[0076] Indicates Noise correction coefficient of employee medical insurance general outpatient supervision data under the encryption reliability time detection point of employee medical insurance general outpatient supervision data.

[0077] Indicates The key bit correction coefficient of the encryption reliability time detection point of the employee medical insurance general outpatient supervision data.

[0078] Indicates The key rotation coefficient of employee medical insurance general outpatient supervision data under the employee medical insurance general outpatient supervision data encryption reliability detection section.

[0079] Indicates The encryption efficiency coefficient of employee medical insurance general outpatient supervision data under the employee medical insurance general outpatient supervision data encryption reliability detection segment.

[0080] It represents the standard value of the number of times the key of employee medical insurance general outpatient supervision data is used, which is the preset standard value of the number of times the key of employee medical insurance general outpatient supervision data is used obtained from the employee medical insurance general outpatient supervision database, and can be the average value of the number of times the key of employee medical insurance general outpatient supervision data is used under the preset employee medical insurance general outpatient supervision data encryption reliability detection section from the historical database.

[0081] Indicates The number of times the key for employee medical insurance general outpatient supervision data is used under the employee medical insurance general outpatient supervision data encryption reliability detection segment.

[0082] Indicates The network fluctuation delay peak value under the encryption reliability detection segment of employee medical insurance general outpatient supervision data.

[0083] Indicates The network fluctuation delay valley value under the encryption reliability detection segment of employee medical insurance general outpatient supervision data.

[0084] It represents the standard value of network delay difference, which is the preset standard value of network delay difference obtained from the employee medical insurance general outpatient supervision database, and can be the average value of network delay difference under the encryption reliability detection section of employee medical insurance general outpatient supervision data preset in the historical database.

[0085] Indicates The noise of employee medical insurance general outpatient supervision data under the encryption reliability time detection point of employee medical insurance general outpatient supervision data.

[0086] It represents the noise threshold of employee medical insurance general outpatient supervision data, which is the preset employee medical insurance general outpatient supervision data noise threshold obtained from the employee medical insurance general outpatient supervision database, and can be the average value of employee medical insurance general outpatient supervision data noise under the employee medical insurance general outpatient supervision data encryption reliability detection point preset from the historical database.

[0087] Indicates The number of key bits at each employee medical insurance general outpatient supervision data encryption reliability time detection point.

[0088] It represents the standard value of the number of key bits, which is the preset standard value of the number of key bits obtained from the employee medical insurance general outpatient supervision database, and can be the average value of the number of key bits under the encryption reliability detection point of the employee medical insurance general outpatient supervision data preset from the historical database.

[0089] Indicates The maximum rotation frequency of the key for employee medical insurance general outpatient supervision data under the employee medical insurance general outpatient supervision data encryption reliability detection segment.

[0090] It represents the standard value of the maximum rotation frequency of the key for employee medical insurance general outpatient supervision data, which is the preset standard value of the maximum rotation frequency of the key for employee medical insurance general outpatient supervision data obtained from the employee medical insurance general outpatient supervision database, and can be the average value of the maximum rotation frequency of the key for employee medical insurance general outpatient supervision data under the preset employee medical insurance general outpatient supervision data encryption reliability detection segment from the historical database.

[0091] Indicates The minimum rotation frequency of the key for employee medical insurance general outpatient supervision data under the employee medical insurance general outpatient supervision data encryption reliability detection segment.

[0092] It represents the standard value of the minimum rotation frequency of the key for employee medical insurance general outpatient supervision data, which is the preset standard value of the minimum rotation frequency of the key for employee medical insurance general outpatient supervision data obtained from the employee medical insurance general outpatient supervision database, and can be the average value of the minimum rotation frequency of the key for employee medical insurance general outpatient supervision data under the preset employee medical insurance general outpatient supervision data encryption reliability detection segment from the historical database.

[0093] Indicates The number of encrypted storage times of employee medical insurance general outpatient supervision data under the employee medical insurance general outpatient supervision data encryption reliability detection segment.

[0094] It represents the standard value of the number of encrypted storage times of employee medical insurance general outpatient supervision data, which is the preset standard value of the number of encrypted storage times of employee medical insurance general outpatient supervision data obtained from the employee medical insurance general outpatient supervision database, and can be the average value of the number of encrypted storage times of employee medical insurance general outpatient supervision data under the preset employee medical insurance general outpatient supervision data encryption reliability detection segment from the historical database.

[0095] Indicates The number of encrypted transmissions of employee medical insurance general outpatient supervision data under the encryption reliability detection section of employee medical insurance general outpatient supervision data.

[0096] It represents the standard value of the number of encrypted transmission times of employee medical insurance general outpatient supervision data, which is the preset standard value of the number of encrypted transmission times of employee medical insurance general outpatient supervision data obtained from the employee medical insurance general outpatient supervision database, and can be the average value of the standard value of the number of encrypted transmission times of employee medical insurance general outpatient supervision data under the preset employee medical insurance general outpatient supervision data encryption reliability detection segment from the historical database.

[0097] It is the weight factor affecting the preset employee medical insurance general outpatient supervision data key rotation coefficient obtained from the employee medical insurance general outpatient supervision database.

[0098] It is the weight factor affecting the encryption efficiency coefficient of the preset employee medical insurance general outpatient supervision data obtained from the employee medical insurance general outpatient supervision database.

[0099] It is the weight factor affecting the number of times the preset employee medical insurance general outpatient supervision data key is used, which is obtained from the employee medical insurance general outpatient supervision database.

[0100] It is the preset network delay fluctuation correction factor obtained from the employee medical insurance general outpatient supervision database.

[0101] It is the noise correction factor of the preset employee medical insurance general outpatient supervision data obtained from the employee medical insurance general outpatient supervision database.

[0102] It is the preset key bit correction factor obtained from the employee medical insurance general outpatient supervision database.

[0103] The preset weight factors affecting the key rotation coefficient of ordinary outpatient supervision data of employee medical insurance, the preset weight factors affecting the encryption efficiency coefficient of ordinary outpatient supervision data of employee medical insurance and the preset weight factors affecting the number of times the key of ordinary outpatient supervision data of employee medical insurance is used are obtained through mapping relationships. For example, through the relationship between the key rotation coefficient of ordinary outpatient supervision data of employee medical insurance, the encryption efficiency coefficient of ordinary outpatient supervision data of employee medical insurance and the number of times the key of ordinary outpatient supervision data of employee medical insurance is used and the data collection frequency in the historical data, a mapping set of the key rotation coefficient of ordinary outpatient supervision data of employee medical insurance, the encryption efficiency coefficient of ordinary outpatient supervision data of employee medical insurance and the number of times the key of ordinary outpatient supervision data of employee medical insurance is used and its corresponding weight is established respectively. By inputting the real-time key rotation coefficient of ordinary outpatient supervision data of employee medical insurance, the encryption efficiency coefficient of ordinary outpatient supervision data of employee medical insurance and the number of times the key of ordinary outpatient supervision data of employee medical insurance is used, the corresponding preset weight factors affecting the key rotation coefficient of ordinary outpatient supervision data of employee medical insurance, the preset weight factors affecting the encryption efficiency coefficient of ordinary outpatient supervision data of employee medical insurance and the preset weight factors affecting the number of times the key of ordinary outpatient supervision data of employee medical insurance is used in the mapping set.

[0104] The preset network delay fluctuation correction factor, the preset employee medical insurance general outpatient supervision data noise correction factor and the preset key bit number correction factor are obtained through mapping relationships. For example, through the relationship between network delay fluctuation, employee medical insurance general outpatient supervision data noise and key bit number in historical data and network bandwidth, mapping sets of network delay fluctuation, employee medical insurance general outpatient supervision data noise and key bit number and their corresponding weights are established respectively. By inputting real-time network delay fluctuation, employee medical insurance general outpatient supervision data noise and key bit number, the corresponding preset network delay fluctuation correction factor, preset employee medical insurance general outpatient supervision data noise correction factor and preset key bit number correction factor in the mapping set are obtained.

[0105] The greater the difference between the peak value of network fluctuation delay and the valley value of network fluctuation delay, the increase in data noise will lead to greater noise in the employee medical insurance general outpatient supervision data; the larger the number of key bits, the security of each encryption operation can be enhanced, and the more times the employee medical insurance general outpatient supervision data is encrypted and stored and the more times the employee medical insurance general outpatient supervision data is encrypted and transmitted; the larger the number of key bits, the more frequent rotation is required to maintain security, and the greater the maximum rotation frequency of the employee medical insurance general outpatient supervision data key and the minimum rotation frequency of the employee medical insurance general outpatient supervision data key; the more times the key is used, the higher the risk of the key being cracked, and the greater the maximum rotation frequency of the employee medical insurance general outpatient supervision data key and the minimum rotation frequency of the employee medical insurance general outpatient supervision data key.

[0106] There is a negative correlation between the square of the difference between the network fluctuation delay peak and the network fluctuation delay valley and the encryption reliability assessment value of the employee medical insurance general outpatient supervision data. The greater the network performance fluctuation, the more it will affect the transmission speed and stability of the encrypted data. The greater the square of the difference between the network fluctuation delay peak and the network fluctuation delay valley, the smaller the encryption reliability assessment value of the employee medical insurance general outpatient supervision data; there is a negative correlation between the noise of the employee medical insurance general outpatient supervision data and the encryption reliability assessment value of the employee medical insurance general outpatient supervision data. The more the integrity and accuracy of the data are affected, the greater the noise of the employee medical insurance general outpatient supervision data, the smaller the encryption reliability assessment value of the employee medical insurance general outpatient supervision data; the square of the difference between the number of key bits and the standard value of the number of key bits is negatively correlated with the employee medical insurance general outpatient supervision data. There is a negative correlation between the encryption reliability assessment value of employee medical insurance ordinary outpatient supervision data, and more frequent rotation is required. The higher the risk of key cracking, the larger the square of the difference between the number of key bits and the standard value of the number of key bits, and the smaller the encryption reliability assessment value of employee medical insurance ordinary outpatient supervision data; there is a negative correlation between the square of the maximum rotation frequency of employee medical insurance ordinary outpatient supervision data keys and the standard value of the maximum rotation frequency of employee medical insurance ordinary outpatient supervision data keys and the encryption reliability assessment value of employee medical insurance ordinary outpatient supervision data, which increases the risk of key cracking. The larger the square of the difference between the maximum rotation frequency of employee medical insurance ordinary outpatient supervision data keys and the standard value of the maximum rotation frequency of employee medical insurance ordinary outpatient supervision data keys, the higher the encryption reliability assessment value of employee medical insurance ordinary outpatient supervision data. The smaller the valuation; the square of the difference between the minimum rotation frequency of the key for employee medical insurance general outpatient supervision data and the standard value of the minimum rotation frequency of the key for employee medical insurance general outpatient supervision data is negatively correlated with the encryption reliability assessment value of employee medical insurance general outpatient supervision data, increasing the risk of key cracking. The greater the square of the difference between the minimum rotation frequency of the key for employee medical insurance general outpatient supervision data and the standard value of the minimum rotation frequency of the key for employee medical insurance general outpatient supervision data, the smaller the encryption reliability assessment value of employee medical insurance general outpatient supervision data; the square of the difference between the number of encrypted storage times of employee medical insurance general outpatient supervision data and the standard value of the number of encrypted storage times of employee medical insurance general outpatient supervision data is negatively correlated with the encryption reliability assessment value of employee medical insurance general outpatient supervision data, making the system Load, reduce data encryption reliability, the greater the square of the difference between the number of encrypted storage times of employee medical insurance general outpatient supervision data and the standard value of the number of encrypted storage times of employee medical insurance general outpatient supervision data, the smaller the encryption reliability evaluation value of employee medical insurance general outpatient supervision data; the square of the difference between the number of encrypted transmission times of employee medical insurance general outpatient supervision data and the standard value of the number of encrypted transmission times of employee medical insurance general outpatient supervision data is negatively correlated with the encryption reliability evaluation value of employee medical insurance general outpatient supervision data, making the system load, reduce data encryption reliability, the greater the square of the difference between the number of encrypted transmission times of employee medical insurance general outpatient supervision data and the standard value of the number of encrypted transmission times of employee medical insurance general outpatient supervision data, the smaller the encryption reliability evaluation value of employee medical insurance general outpatient supervision data;There is a negative correlation between the absolute value of the difference between the number of times the key of employee medical insurance general outpatient supervision data is used and the standard value of the number of times the key of employee medical insurance general outpatient supervision data is used and the reliability assessment value of employee medical insurance general outpatient supervision data encryption, which will increase the risk of key cracking. The greater the absolute value of the difference between the number of times the key of employee medical insurance general outpatient supervision data is used and the standard value of the number of times the key of employee medical insurance general outpatient supervision data is used, the smaller the reliability assessment value of employee medical insurance general outpatient supervision data encryption is. ;

[0107] Furthermore, optimizing and adjusting the method for general outpatient supervision of employee medical insurance includes optimizing the method for data quality of general outpatient supervision of employee medical insurance, optimizing the method for data encryption reliability of general outpatient supervision of employee medical insurance, and optimizing and adjusting the method for security of general outpatient supervision of employee medical insurance; the specific steps for optimizing the method for data quality of general outpatient supervision of employee medical insurance are as follows: if the data quality assessment value of general outpatient supervision of employee medical insurance is lower than or equal to the first threshold value of data quality assessment value of general outpatient supervision of employee medical insurance, then there is no need to optimize the data quality method for general outpatient supervision of employee medical insurance; if the data quality assessment value of general outpatient supervision of employee medical insurance is greater than the first threshold value of data quality assessment value of general outpatient supervision of employee medical insurance, then the difference between the data quality assessment value of general outpatient supervision of employee medical insurance and the first threshold value of data quality assessment value of general outpatient supervision of employee medical insurance is used to match the corresponding adjustment plan in the general outpatient supervision database of employee medical insurance.

[0108] In this embodiment, it is assumed that the employee medical insurance general outpatient supervision data quality assessment value is 4, the employee medical insurance general outpatient supervision data quality assessment value first threshold value obtained from the employee medical insurance general outpatient supervision database is 3, and the corresponding difference value is 1, then the employee medical insurance general outpatient supervision data quality assessment value obtained from the employee medical insurance general outpatient supervision database and the employee medical insurance general outpatient supervision data quality assessment value first threshold value is 1 when the difference is an adjustment plan, the adjustment plan is: by adopting an asynchronous data processing method, for example, using the Node.js event-driven model or Python's asyncio library to achieve non-blocking data collection, when the sensor or data source generates data, the data collection module immediately pushes the data to the message queue (such as RabbitMQ), and there are one or more data processing modules in the background. The processing service consumes data from the message queue and performs asynchronous processing, such as data cleaning and formatting. The main application continues to process user requests and is not affected by data collection. Unnecessary frequency components are reduced by using signal processing technology. For example, Fourier transform is used to analyze the collected data, noise frequency components are identified, and a bandpass filter is designed. Through digital signal processing, the analog signal is converted into a digital signal. The frequency components of the signal are analyzed using fast Fourier transform. The noise frequency components are identified and marked in the spectrum. Only signals within a specific frequency range are allowed to pass and the noise is filtered out. The collected data is filtered to remove unnecessary high-frequency noise and low-frequency drift, and the filtering effect is verified to ensure that the main signal components are retained and the noise is effectively suppressed. In this way, the quality assessment value of the general outpatient supervision data of employee medical insurance is reduced.

[0109] Furthermore, the specific steps for optimizing the encryption reliability method of employee medical insurance general outpatient supervision data are as follows: if the encryption reliability evaluation value of employee medical insurance general outpatient supervision data is greater than or equal to the second threshold value of the encryption reliability evaluation value of employee medical insurance general outpatient supervision data, then there is no need to optimize the encryption reliability method of employee medical insurance general outpatient supervision data; if the encryption reliability evaluation value of employee medical insurance general outpatient supervision data is lower than the second threshold value of the encryption reliability evaluation value of employee medical insurance general outpatient supervision data, then the difference between the encryption reliability evaluation value of employee medical insurance general outpatient supervision data and the second threshold value of the encryption reliability evaluation value of employee medical insurance general outpatient supervision data is used to match the corresponding adjustment plan in the employee medical insurance general outpatient supervision database.

[0110] In this embodiment, it is assumed that the encryption reliability evaluation value of the employee medical insurance general outpatient supervision data is 3, the second threshold value of the encryption reliability evaluation value of the employee medical insurance general outpatient supervision data obtained from the employee medical insurance general outpatient supervision database is 5, and the corresponding difference is -2. Then, the encryption reliability evaluation value of the employee medical insurance general outpatient supervision data and the second threshold value of the encryption reliability evaluation value of the employee medical insurance general outpatient supervision data are matched from the employee medical insurance general outpatient supervision database. The corresponding adjustment plan when the difference is -2 is: use load balancing technology to disperse network traffic, for example, use a load balancer to distribute network traffic to ensure that too many requests are not concentrated on a single server, deploy a load balancer (such as Nginx or HAProxy), configure load balancing rules, dynamically distribute requests according to the current load and performance of the server, monitor network traffic, ensure balanced bandwidth utilization, and avoid overloading of any single server; by limiting the number of times the key is used, for example, the maximum number of times each key is used is set to 1,000 times, and a monitoring system is developed to track the use of the key. Once the limit is reached, the key is immediately rotated; so as to improve the encryption reliability evaluation value of the employee medical insurance general outpatient supervision data.

[0111] Furthermore, the specific steps for optimizing and adjusting the safety method of ordinary outpatient supervision of employee medical insurance are as follows: extracting the comprehensive threshold of the safety assessment value of ordinary outpatient supervision of employee medical insurance from the ordinary outpatient supervision database of employee medical insurance, and comparing the safety assessment value of ordinary outpatient supervision of employee medical insurance with the comprehensive threshold of the safety assessment value of ordinary outpatient supervision of employee medical insurance; if the safety assessment value of ordinary outpatient supervision of employee medical insurance is greater than or equal to the comprehensive threshold of the safety assessment value of ordinary outpatient supervision of employee medical insurance, there is no need to optimize and adjust the safety method of ordinary outpatient supervision of employee medical insurance.

[0112] Furthermore, the method for optimizing and adjusting the safety of ordinary outpatient supervision of employee medical insurance also includes: if the safety assessment value of ordinary outpatient supervision of employee medical insurance is lower than the comprehensive threshold of the safety assessment value of ordinary outpatient supervision of employee medical insurance, then the corresponding adjustment plan in the ordinary outpatient supervision database of employee medical insurance is matched through the difference between the safety assessment value of ordinary outpatient supervision of employee medical insurance and the comprehensive threshold of the safety assessment value of ordinary outpatient supervision of employee medical insurance.

[0113] In this embodiment, it is assumed that the employee medical insurance general outpatient supervision security assessment value is 4, the employee medical insurance general outpatient supervision security assessment value comprehensive threshold obtained from the employee medical insurance general outpatient supervision database is 5, and the corresponding difference is -1. Then, the employee medical insurance general outpatient supervision security assessment value and the employee medical insurance general outpatient supervision security assessment value comprehensive threshold are matched from the employee medical insurance general outpatient supervision database. The corresponding adjustment plan when the difference is -1 is obtained. The adjustment plan is: by using automated tools to identify and correct data quality problems, for example, data quality monitoring software is installed, which can automatically scan abnormal data in the database and set monitoring rules, including data format, range, integrity, etc. The software discovers data quality problems during operation, such as erroneous data entries, and automatically corrects or marks problems that require manual review; by strengthening key management, for example, using a cloud-based HSM service to store keys, ensuring that keys are not stored locally, and formulating a new key rotation policy, stipulating that keys must be rotated once a quarter; so as to improve the employee medical insurance general outpatient supervision security assessment value.

[0114] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0115] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0116] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1A function specified in one or more boxes.

[0117] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0118] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0119] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. The employee medical insurance general outpatient supervision system based on medical expenses and knowledge graph is characterized by: It includes the module for collecting employee medical insurance general outpatient supervision data, the module for analyzing employee medical insurance general outpatient supervision data, the comprehensive analysis module and the optimization and adjustment module: Among them, the module for collecting employee medical insurance general outpatient supervision data is used to collect and process employee medical insurance general outpatient supervision data through a network transmission protocol; The employee medical insurance general outpatient supervision data analysis module is used to analyze the employee medical insurance general outpatient supervision data, obtain the employee medical insurance general outpatient supervision data quality assessment value and obtain the employee medical insurance general outpatient supervision data encryption reliability assessment value; The comprehensive analysis module is used to analyze and obtain the safety assessment value of the general outpatient supervision of employee medical insurance; The optimization and adjustment module is used to compare and analyze the obtained employee medical insurance general outpatient supervision data quality assessment value, employee medical insurance general outpatient supervision data encryption reliability assessment value and employee medical insurance general outpatient supervision security assessment value with the corresponding reference data in turn, and optimize and adjust the employee medical insurance general outpatient supervision method; The specific steps of obtaining the safety assessment value of employee medical insurance general outpatient supervision through comprehensive analysis are as follows: The employee medical insurance general outpatient supervision data update frequency of each preset employee medical insurance general outpatient supervision safety time detection point is obtained through the timestamp server, and the corresponding data update comprehensive component is obtained by combining the employee medical insurance general outpatient supervision data update frequency standard value and the preset employee medical insurance general outpatient supervision data update frequency influencing weight factor; Combined with the preset weight factors influencing the encryption reliability assessment value of employee medical insurance general outpatient supervision data, the encryption reliability assessment value of employee medical insurance general outpatient supervision data at each employee medical insurance general outpatient supervision data encryption reliability time detection point is statistically analyzed to obtain the corresponding comprehensive component of data encryption reliability; Combined with the preset weight factors affecting the quality assessment value of employee medical insurance general outpatient supervision data, the quality assessment value of employee medical insurance general outpatient supervision data at each employee medical insurance general outpatient supervision data quality detection point is statistically analyzed to obtain the corresponding data quality comprehensive component, and combined with the obtained data update comprehensive component and data encryption reliability comprehensive component analysis to obtain the employee medical insurance general outpatient supervision security assessment value.

2. The employee medical insurance general outpatient supervision system based on medical expenses and knowledge graph as claimed in claim 1 is characterized in that: The specific steps for collecting and processing employee medical insurance general outpatient supervision data through the network transmission protocol are: Obtain the original data of ordinary outpatient supervision of employee medical insurance through network transmission protocol; The original data of general outpatient supervision of employee medical insurance are cleaned and denoised to obtain the general outpatient supervision data of employee medical insurance.

3. The employee medical insurance general outpatient supervision system based on medical expenses and knowledge graph as claimed in claim 1 is characterized in that: The method for collecting and processing employee medical insurance general outpatient supervision data through a network transmission protocol also includes: The employee medical insurance general outpatient supervision data includes employee medical insurance general outpatient supervision data quality data and employee medical insurance general outpatient supervision data encryption reliability data; Obtain the preset employee medical insurance general outpatient supervision data processing rate threshold, network bandwidth utilization threshold, employee medical insurance general outpatient supervision data collection frequency standard value, power spectrum density standard value, network delay difference standard value, employee medical insurance general outpatient supervision data noise threshold, employee medical insurance general outpatient supervision data key usage times standard value, key bit number standard value, employee medical insurance general outpatient supervision data key maximum rotation frequency standard value, employee medical insurance general outpatient supervision data key minimum rotation frequency standard value, employee medical insurance general outpatient supervision data encrypted storage times standard value and employee medical insurance general outpatient supervision data encrypted transmission times standard value from the employee medical insurance general outpatient supervision database.

4. The employee medical insurance general outpatient supervision system based on medical expenses and knowledge graph as claimed in claim 1 is characterized in that: The specific process of obtaining the quality assessment value of employee medical insurance general outpatient supervision data is as follows: The network traffic analyzer is used to obtain the network fluctuation delay peak value of the preset employee medical insurance general outpatient supervision data quality time detection point; The network traffic analyzer is used to obtain the network fluctuation delay valley value of the preset employee medical insurance general outpatient supervision data quality time detection point; The noise of the employee medical insurance general outpatient supervision data at the preset employee medical insurance general outpatient supervision data quality time detection point is obtained through the signal processing equipment; The processing rate of employee medical insurance general outpatient supervision data at the preset employee medical insurance general outpatient supervision data quality time detection point is obtained through the performance monitoring tool; The bandwidth monitoring software is used to obtain the network bandwidth utilization rate of the preset employee medical insurance general outpatient supervision data quality time detection point; Obtain the employee medical insurance general outpatient supervision data collection frequency of the preset employee medical insurance general outpatient supervision data quality time detection point through the network transmission protocol; The power spectrum density of the preset time detection point of employee medical insurance general outpatient supervision data quality is obtained through the signal analyzer; The employee medical insurance general outpatient supervision data quality data includes network fluctuation delay peak value, network fluctuation delay valley value, employee medical insurance general outpatient supervision data noise, employee medical insurance general outpatient supervision data processing rate, network bandwidth utilization rate, employee medical insurance general outpatient supervision data collection frequency and power spectrum density; Based on the data analysis of the quality of ordinary outpatient supervision data of employee medical insurance, the quality assessment value of the ordinary outpatient supervision data of employee medical insurance is obtained.

5. The employee medical insurance general outpatient supervision system based on medical expenses and knowledge graph as claimed in claim 1 is characterized in that: The specific steps for obtaining the encryption reliability evaluation value of employee medical insurance general outpatient supervision data are as follows: The network traffic analyzer is used to obtain the network fluctuation delay peak value of the preset employee medical insurance general outpatient supervision data encryption reliability time detection point; The network traffic analyzer is used to obtain the network fluctuation delay valley value of the preset employee medical insurance general outpatient supervision data encryption reliability time detection point; The preset encryption reliability time detection point of employee medical insurance general outpatient supervision data noise of employee medical insurance general outpatient supervision data is obtained through data analysis software; The number of key bits of the preset employee medical insurance general outpatient supervision data encryption reliability time detection point is obtained through encryption software; The preset employee medical insurance general outpatient supervision data encryption reliability time detection point employee medical insurance general outpatient supervision data key maximum rotation frequency is obtained through the key management system; The preset employee medical insurance general outpatient supervision data encryption reliability time detection point employee medical insurance general outpatient supervision data key minimum rotation frequency is obtained through the key management system; The preset reliability time detection point of employee medical insurance general outpatient supervision data encryption is obtained through the security audit tool, and the number of employee medical insurance general outpatient supervision data encryption storage times is obtained; The preset reliability time detection point of employee medical insurance general outpatient supervision data encryption and the number of employee medical insurance general outpatient supervision data encryption transmission times are obtained through the security audit tool; The key usage audit is used to obtain the preset employee medical insurance general outpatient supervision data encryption reliability time detection point employee medical insurance general outpatient supervision data key usage times; The encryption reliability data of employee medical insurance general outpatient supervision data includes network fluctuation delay peak, network fluctuation delay valley, employee medical insurance general outpatient supervision data noise, key bit number, employee medical insurance general outpatient supervision data key maximum rotation frequency, employee medical insurance general outpatient supervision data key minimum rotation frequency, employee medical insurance general outpatient supervision data encryption storage times, employee medical insurance general outpatient supervision data encryption transmission times and employee medical insurance general outpatient supervision data key usage times; Based on the encryption reliability data analysis of employee medical insurance general outpatient supervision data, the encryption reliability assessment value of employee medical insurance general outpatient supervision data was obtained.

6. The employee medical insurance general outpatient supervision system based on medical expenses and knowledge graph as claimed in claim 1 is characterized in that: The method for optimizing and adjusting the supervision of ordinary outpatient clinics under the employee medical insurance includes a method for optimizing the quality of the supervision data of ordinary outpatient clinics under the employee medical insurance, a method for optimizing the encryption reliability of the supervision data of ordinary outpatient clinics under the employee medical insurance, and a method for optimizing and adjusting the safety of the supervision of ordinary outpatient clinics under the employee medical insurance; The specific steps of the method for optimizing the quality of employee medical insurance general outpatient supervision data are as follows: If the quality assessment value of employee medical insurance general outpatient supervision data is lower than or equal to the first threshold of employee medical insurance general outpatient supervision data quality assessment value, there is no need to optimize the employee medical insurance general outpatient supervision data quality method; If the quality assessment value of the employee medical insurance general outpatient supervision data is greater than the first threshold of the quality assessment value of the employee medical insurance general outpatient supervision data, the corresponding adjustment plan in the employee medical insurance general outpatient supervision database is matched through the difference between the quality assessment value of the employee medical insurance general outpatient supervision data and the first threshold of the quality assessment value of the employee medical insurance general outpatient supervision data.

7. The employee medical insurance general outpatient supervision system based on medical expenses and knowledge graph as claimed in claim 6 is characterized by: The specific steps of the method for optimizing the encryption reliability of employee medical insurance general outpatient supervision data are as follows: If the encryption reliability evaluation value of the employee medical insurance general outpatient supervision data is greater than or equal to the second threshold of the encryption reliability evaluation value of the employee medical insurance general outpatient supervision data, there is no need to optimize the encryption reliability method of the employee medical insurance general outpatient supervision data; If the encryption reliability assessment value of the employee medical insurance general outpatient supervision data is lower than the second threshold value of the encryption reliability assessment value of the employee medical insurance general outpatient supervision data, the corresponding adjustment plan in the employee medical insurance general outpatient supervision database is matched through the difference between the encryption reliability assessment value of the employee medical insurance general outpatient supervision data and the second threshold value of the encryption reliability assessment value of the employee medical insurance general outpatient supervision data.

8. The employee medical insurance general outpatient supervision system based on medical expenses and knowledge graph as claimed in claim 6 is characterized by: The specific steps of the method for optimizing and adjusting the safety of general outpatient supervision of employee medical insurance are as follows: Extract the comprehensive threshold of the safety assessment value of ordinary outpatient supervision of employee medical insurance from the employee medical insurance ordinary outpatient supervision database, and compare the safety assessment value of ordinary outpatient supervision of employee medical insurance with the comprehensive threshold of the safety assessment value of ordinary outpatient supervision of employee medical insurance; If the safety assessment value of ordinary outpatient supervision of employee medical insurance is greater than or equal to the comprehensive threshold of the safety assessment value of ordinary outpatient supervision of employee medical insurance, there is no need to optimize and adjust the safety method of ordinary outpatient supervision of employee medical insurance.

9. The employee medical insurance general outpatient supervision system based on medical expenses and knowledge graph as claimed in claim 6 is characterized by: The method for optimizing and adjusting the safety of general outpatient care supervision of employee medical insurance also includes: If the safety assessment value of ordinary outpatient supervision of employee medical insurance is lower than the comprehensive threshold of the safety assessment value of ordinary outpatient supervision of employee medical insurance, the corresponding adjustment plan in the ordinary outpatient supervision database of employee medical insurance will be matched through the difference between the safety assessment value of ordinary outpatient supervision of employee medical insurance and the comprehensive threshold of the safety assessment value of ordinary outpatient supervision of employee medical insurance.

Images