Method and system for inversion of current-day proof for medical insurance flight inspection

Abstract

The embodiment of the invention relates to the technical field of medical insurance information processing, and particularly discloses a method and a system for inversion of a current-day proof for medical insurance flight inspection. According to the embodiment of the invention, the method comprises the steps: receiving an auditing and checking requirement, connecting a specified database in a data lake according to the auditing and checking requirement, and carrying out the data access and extraction to obtain service summarized data; designing a data screening rule according to audit inspection requirements; according to a data screening rule, performing data query analysis on the service summary data, and obtaining and displaying a data query result; and identifying abnormal data according to the data query result, and pushing abnormal information according to a preset user pushing mode. According to the technical scheme, full automation of data screening and abnormity reminding can be achieved, the data lake serves as the basis, the data demand serves as the drive, the abnormal data is accurately screened out in real time by extracting service summarized data and screening the data according to the data screening rule, and the accuracy of hospital medical insurance audit data and timely notification of the abnormal data are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of medical insurance information processing, and particularly relates to a method and system for reverse burden of proof on the day of medical insurance flight inspection. Background Art

[0002] With the continuous improvement of the medical security system, the safe operation and efficient use of medical insurance funds have become an important task of the medical security cause. However, in actual operation, the use and management of medical insurance funds face many challenges, such as possible violations by designated medical and pharmaceutical institutions, and possible fraud and insurance fraud by insured persons. In order to ensure the safety and efficient use of medical insurance funds, medical security agencies need to regularly audit designated medical and pharmaceutical institutions and insured persons.

[0003] In the prior art, there are some problems in the medical insurance audit method, such as cumbersome processes, difficult data acquisition, low audit efficiency, etc. These problems not only increase the difficulty of the audit work, but also affect the use efficiency of medical insurance funds. Summary of the Invention

[0004] The purpose of the embodiments of the present invention is to provide a method and system for reverse burden of proof on the day of medical insurance flight inspection, aiming to solve the problems raised in the background art.

[0005] To achieve the above purpose, the embodiments of the present invention provide the following technical solutions:

[0006] A method for reverse burden of proof on the day of medical insurance flight inspection, the method specifically includes the following steps:

[0007] Receive the audit inspection requirements, connect to the specified database in the data lake according to the audit inspection requirements, and perform data access and extraction to obtain service summary data;

[0008] Design data screening rules according to the audit inspection requirements;

[0009] According to the data screening rules, perform data query and analysis on the service summary data, obtain the data query results and display them;

[0010] Identify abnormal data according to the data query results, and push abnormal information according to the preset user push method.

[0011] As a further limitation of the technical solution of the embodiments of the present invention, the step of receiving the audit inspection requirements, connecting to the specified database in the data lake according to the audit inspection requirements, and performing data access and extraction to obtain service summary data specifically includes the following steps:

[0012] Receive the audit inspection requirements;

[0013] Configure and schedule the workflow according to the audit and inspection requirements to create automated tasks;

[0014] Connect to the specified database in the data lake according to the automated task;

[0015] Access and extract data from the specified database to obtain service summary data.

[0016] As a further limitation of the technical solution of the embodiment of the present invention, the specified database includes a basic database, an inspection database, and a drug use database. The abstract factory design pattern is used to integrate, access, and switch between the basic database, the inspection database, and the drug use database; the service summary data includes basic data, inspection data, and drug use data; the basic data includes the age, gender, and source of the patient; the inspection data includes the type, time, and location of the inspection; the drug use data includes the name, time, and type of the drug.

[0017] As a further limitation of the technical solution of the embodiment of the present invention, the steps of receiving the audit and inspection requirements, connecting to the specified database in the data lake according to the audit and inspection requirements, and accessing and extracting data to obtain service summary data further include the following steps:

[0018] Monitor the data quality of the service summary data through preset data quality rules.

[0019] As a further limitation of the technical solution of the embodiment of the present invention, the design of the data screening rules according to the audit and inspection requirements specifically includes the following steps:

[0020] Prepare the rules according to the audit and inspection requirements and update the rule group;

[0021] Create audit rules, parent-child item rules, and special rules according to the rule group;

[0022] Design data screening rules according to the audit rules, the parent-child item rules, and the special rules.

[0023] As a further limitation of the technical solution of the embodiment of the present invention, the steps of performing data query analysis on the service summary data according to the data screening rules, obtaining the data query results and displaying them specifically include the following steps:

[0024] Perform job scheduling and execute the data screening rules;

[0025] Perform data query analysis on the service summary data according to the data screening rules to obtain the data query results;

[0026] Receive interactive query and analysis operations, and visually display the data query results.

[0027] As a further limitation of the technical solution of the embodiment of the present invention, the identifying abnormal data according to the data query result and pushing abnormal information according to a preset user push method specifically includes the following steps:

[0028] Identify abnormal data according to the data query result;

[0029] Generate abnormal push information according to the abnormal data;

[0030] Match the specified users corresponding to the abnormal data;

[0031] Push the abnormal push information to the specified users according to the push method preset for the specified users.

[0032] A system for the reverse burden of proof on the day of medical insurance flight inspection, the system includes a data access and extraction unit, a screening rule design unit, a data query and analysis unit, and an abnormal identification and push unit, wherein:

[0033] The data access and extraction unit is used to receive the audit inspection requirements, connect to the specified database in the data lake according to the audit inspection requirements, and perform data access and extraction to obtain service summary data;

[0034] The screening rule design unit is used to design data screening rules according to the audit inspection requirements;

[0035] The data query and analysis unit is used to perform data query and analysis on the service summary data according to the data screening rules, obtain data query results and display them;

[0036] The abnormal identification and push unit is used to identify abnormal data according to the data query result and push abnormal information according to a preset user push method.

[0037] As a further limitation of the technical solution of the embodiment of the present invention, the data access and extraction unit specifically includes:

[0038] A requirement receiving module, used to receive audit inspection requirements;

[0039] A task creation module, used to configure and schedule the work process according to the audit inspection requirements and create an automated task;

[0040] A database connection module, used to connect to the specified database in the data lake according to the automated task;

[0041] A data access and extraction module, which is used to perform data access and extraction from the specified database to obtain service summary data.

[0042] As a further limitation of the technical solution of the embodiment of the present invention, the exception recognition and push unit specifically includes:

[0043] An exception recognition module, which is used to recognize exception data according to the data query result;

[0044] An information generation module, which is used to generate exception push information according to the exception data;

[0045] A user matching module, which is used to match the specified user corresponding to the exception data;

[0046] An information push module, which is used to push the exception push information to the specified user according to the push method preset by the specified user.

[0047] Compared with the prior art, the beneficial effects of the present invention are:

[0048] In the embodiment of the present invention, by receiving the audit inspection requirements, connecting to the specified database in the data lake according to the audit inspection requirements, performing data access and extraction to obtain service summary data; designing data screening rules according to the audit inspection requirements; performing data query analysis on the service summary data according to the data screening rules, obtaining the data query result and displaying it; recognizing exception data according to the data query result, and performing exception information push according to the preset user push method. It can realize the full automation of data screening and exception reminder. Based on the data lake and driven by data requirements, by extracting service summary data and screening data with data screening rules, it can accurately and real-time screen out exception data, improving the accuracy of hospital medical insurance audit data and the timely notification of exception data. Description of the Drawings

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0050] Figure 1 Shows the flowchart of the method provided by the embodiment of the present invention.

[0051] Figure 2 Shows the flowchart of data access and extraction in the method provided by the embodiment of the present invention.

[0052] Figure 3 Shows another flowchart of data access and extraction in the method provided by the embodiment of the present invention.

[0053] Figure 4 The flowchart of designing data screening rules in the method provided by the embodiment of the present invention is shown.

[0054] Figure 5 The flowchart of performing data query analysis in the method provided by the embodiment of the present invention is shown.

[0055] Figure 6 The flowchart of pushing abnormal information in the method provided by the embodiment of the present invention is shown.

[0056] Figure 7 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0057] Figure 8 The structural block diagram of the data access and extraction unit in the system provided by the embodiment of the present invention is shown.

[0058] Figure 9 The structural block diagram of the abnormal identification and push unit in the system provided by the embodiment of the present invention is shown. Detailed implementation manners

[0059] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention.

[0060] It can be understood that in the prior art, there are some problems in the medical insurance audit method, such as cumbersome processes, difficult data acquisition, low audit efficiency, etc. These problems not only increase the difficulty of the audit work, but also affect the use efficiency of the medical insurance fund.

[0061] To solve the above problems, the embodiment of the present invention receives the audit inspection requirements, connects to the specified database in the data lake according to the audit inspection requirements, and performs data access and extraction to obtain service summary data; designs data screening rules according to the audit inspection requirements; performs data query analysis on the service summary data according to the data screening rules, obtains the data query results and displays them; identifies abnormal data according to the data query results, and performs abnormal information push according to the preset user push method. It can realize the full automation of data screening and abnormal reminder. Based on the data lake and driven by data requirements, by extracting service summary data and screening data with data screening rules, it can accurately and real-time screen out abnormal data, improving the accuracy of hospital medical insurance audit data and the timely notification of abnormal data.

[0062] Figure 1 The flowchart of the method provided by the embodiment of the present invention is shown.

[0063] Specifically, in an embodiment of the present invention, a method for burden of proof reversal on the day of medical insurance flight inspection, the method specifically includes the following steps:

[0064] Step S101, receive the audit inspection requirements, according to the audit inspection requirements, connect to the specified database in the data lake, and perform data access and extraction to obtain service summary data.

[0065] In an embodiment of the present invention, by receiving the audit inspection requirements, and then according to the audit inspection requirements, configure and schedule the workflow, create an automated task, and then execute the audit inspection requirements, configure and schedule the workflow, create an automated task, perform data access and extraction from the specified database to obtain service summary data, and allow custom data quality rules. Create data quality rules through a comprehensive algorithm framework to monitor the data quality of service summary data to ensure data accuracy and integrity. Among them, the specified database includes a basic database, an inspection database, a drug use database, etc., and adopts an abstract factory design pattern to integrate, access, and switch the basic database, inspection database, drug use database, etc.; service summary data includes basic data, inspection data, drug use data, etc.; basic data includes the age, gender, and source of patients, etc.; inspection data includes the type, time, and location of inspections, etc.; drug use data includes the name, time, and type of drugs, etc.

[0066] In an embodiment of the present invention, define variables: D is the specified database; P is the set of patients, and each patient p ∈ P has basic data Bp; C is the set of inspection information, and each inspection c ∈ C has a type Tc, a time Tc, and a location Lc; M is the set of drug use information, and each drug m ∈ M has a name Nm, a time Tm, and a type Tm; extract the basic data Bp of patients from the specified database D; extract the inspection information C from the specified database D; extract the drug use information M from the specified database D.

[0067] Specifically, Figure 2 The flowchart of data access and extraction in the method provided by the embodiment of the present invention is shown.

[0068] Among them, in the preferred embodiment provided by the present invention, the step of receiving the audit inspection requirements, connecting to the specified database in the data lake according to the audit inspection requirements, and performing data access and extraction to obtain service summary data specifically includes the following steps:

[0069] Step S1011, receive the audit inspection requirements;

[0070] Step S1012, according to the audit inspection requirements, configure and schedule the workflow, and create an automated task;

[0071] Step S1013: Connect to the specified database in the data lake according to the automated task;

[0072] Step S1014: Perform data access and extraction from the specified database to obtain service summary data.

[0073] Furthermore, Figure 3 Fig. shows another flowchart of data access and extraction in the method provided by the embodiment of the present invention.

[0074] Specifically, in another preferred embodiment provided by the present invention, the steps of receiving the audit inspection requirements, connecting to the specified database in the data lake according to the audit inspection requirements, and performing data access and extraction to obtain service summary data further include the following steps:

[0075] Step S1015: Monitor the data quality of the service summary data through preset data quality rules.

[0076] Furthermore, the method for the burden of proof reversal on the day of the medical insurance flight inspection further includes the following steps:

[0077] Step S102: Design data screening rules according to the audit inspection requirements.

[0078] In the embodiment of the present invention, according to the audit inspection requirements, rule preparation is carried out, the rule group is updated, and then according to the rule group, audit rules, parent-child item rules, and special rules are created. Furthermore, the audit rules, parent-child item rules, and special rules are integrated to design data screening rules.

[0079] In the embodiment of the present invention, a variable is defined: R is the data screening rule for screening data.

[0080] Specifically, Figure 4 Fig. shows the flowchart of designing data screening rules in the method provided by the embodiment of the present invention.

[0081] Among them, in the preferred embodiment provided by the present invention, the specific steps of designing data screening rules according to the audit inspection requirements include the following steps:

[0082] Step S1021: Perform rule preparation and update the rule group according to the audit inspection requirements;

[0083] Step S1022: Create audit rules, parent-child item rules, and special rules according to the rule group;

[0084] Step S1023: Design data screening rules according to the audit rules, the parent-child item rules, and the special rules.

[0085] Further, the method for burden of proof inversion on the day of medical insurance flight inspection further includes the following steps:

[0086] Step S103, according to the data screening rules, conduct data query analysis on the service summary data, obtain the data query results and display them.

[0087] In the embodiment of the present invention, job scheduling is performed to execute the data screening rules. According to the data screening rules, data query analysis is conducted on the service summary data to obtain the data query results, and interactive query and analysis operations are received. Then, according to the interactive query and analysis operations, visual displays in the forms of graphs, charts, reports, etc. are made on the data query results to help users deeply understand the data.

[0088] Specifically, Figure 5 shows the flowchart of data query analysis in the method provided by the embodiment of the present invention.

[0089] Among them, in the preferred embodiment provided by the present invention, the specific steps of conducting data query analysis on the service summary data according to the data screening rules, obtaining the data query results and displaying them are as follows:

[0090] Step S1031, perform job scheduling and execute the data screening rules;

[0091] Step S1032, according to the data screening rules, conduct data query analysis on the service summary data to obtain the data query results;

[0092] Step S1033, receive interactive query and analysis operations and make visual displays on the data query results.

[0093] Further, the method for burden of proof inversion on the day of medical insurance flight inspection further includes the following steps:

[0094] Step S104, identify abnormal data according to the data query results, and push abnormal information according to the preset user push method.

[0095] In the embodiment of the present invention, according to the data query results, abnormal data is identified, and according to the abnormal data, abnormal push information is generated. Then, the specified user corresponding to the abnormal data is matched, and further, according to the preset push method of the specified user (including methods such as DingTalk and text messages), the abnormal push information is pushed to the specified user.

[0096] In an embodiment of the present invention, the mathematical model can be represented by the following equations: Bp = Extract(D, P); C = Extract(D, C); M = Extract(D, M); A = Check(Bp, C, M, R); Notify(A); where A is abnormal data, Bp = Extract(D, P) is a function for extracting data of set X from a specified database D; Check(Bp, C, M, R) is a function for checking whether the extracted data Bp, C, M conforms to the data screening rule R and returning the abnormal data A; Notify(A) is a function for notifying the specified user of the abnormal data A.

[0097] Specifically, Figure 6 The flowchart of abnormal information push in the method provided by the embodiment of the present invention is shown.

[0098] Among them, in a preferred embodiment provided by the present invention, the steps of identifying abnormal data according to the data query result and pushing abnormal information according to a preset user push method specifically include the following steps:

[0099] Step S1041, identifying abnormal data according to the data query result;

[0100] Step S1042, generating abnormal push information according to the abnormal data;

[0101] Step S1043, matching the specified user corresponding to the abnormal data;

[0102] Step S1044, pushing the abnormal push information to the specified user according to the push method preset by the specified user.

[0103] Furthermore, Figure 7 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0104] Among them, in another preferred embodiment provided by the present invention, a system for the burden of proof reversal on the day of the medical insurance flight inspection includes:

[0105] A data access and extraction unit 101, configured to receive an audit inspection requirement, connect to a specified database in the data lake according to the audit inspection requirement, and perform data access and extraction to obtain service summary data.

[0106] In an embodiment of the present invention, the data access and extraction unit 101 receives an audit and inspection requirement, and then configures and schedules a workflow according to the audit and inspection requirement, creates an automated task, and further executes the audit and inspection requirement, configures and schedules the workflow, creates an automated task, accesses and extracts data from a specified database, obtains service summary data, and allows custom data quality rules. Through a comprehensive algorithm framework, data quality rules are created to monitor the data quality of the service summary data to ensure data accuracy and integrity. Among them, the specified database includes a basic database, an inspection database, a drug use database, etc. The abstract factory design pattern is used to integrate, access, and switch between the basic database, the inspection database, the drug use database, etc.; the service summary data includes basic data, inspection data, drug use data, etc.; the basic data includes the age, gender, and source of the patient, etc.; the inspection data includes the type, time, and location of the inspection, etc.; the drug use data includes the name, time, and type of the drug, etc.

[0107] Specifically, Figure 8 FIG. shows the structural block diagram of the data access and extraction unit 101 in the system provided by the embodiment of the present invention.

[0108] Among them, in the preferred embodiment provided by the present invention, the data access and extraction unit 101 specifically includes:

[0109] A requirement receiving module 1011, configured to receive an audit and inspection requirement;

[0110] A task creation module 1012, configured to configure and schedule a workflow according to the audit and inspection requirement, and create an automated task;

[0111] A database connection module 1013, configured to connect to a specified database in the data lake according to the automated task;

[0112] A data access and extraction module 1014, configured to access and extract data from the specified database to obtain service summary data.

[0113] Furthermore, the system for the burden of proof reversal on the day of the medical insurance flight inspection further includes:

[0114] A screening rule design unit 102, configured to design data screening rules according to the audit and inspection requirement.

[0115] In an embodiment of the present invention, the screening rule design unit 102 prepares rules according to the audit and inspection requirement, updates the rule group, and then creates audit rules, parent-child item rules, and special rules according to the rule group, and further designs data screening rules by integrating the audit rules, parent-child item rules, and special rules.

[0116] The data query and analysis unit 103 is configured to perform data query and analysis on the service summary data according to the data screening rules, obtain a data query result, and display it.

[0117] In an embodiment of the present invention, the data query and analysis unit 103 performs job scheduling, executes the data screening rules, performs data query and analysis on the service summary data according to the data screening rules, obtains a data query result, and receives interactive query and analysis operations. Then, according to the interactive query and analysis operations, it performs visual display on the data query result in forms such as graphs, charts, and reports to help users deeply understand the data.

[0118] The anomaly recognition and push unit 104 is configured to identify anomaly data according to the data query result and perform anomaly information push according to a preset user push method.

[0119] In an embodiment of the present invention, the anomaly recognition and push unit 104 identifies anomaly data according to the data query result, generates anomaly push information according to the anomaly data, then matches the specified user corresponding to the anomaly data, and further pushes the anomaly push information to the specified user according to the push method preset for the specified user (including methods such as DingTalk and SMS).

[0120] Specifically, Figure 9 shows a structural block diagram of the anomaly recognition and push unit 104 in the system provided by the embodiment of the present invention.

[0121] Among them, in a preferred embodiment provided by the present invention, the anomaly recognition and push unit 104 specifically includes:

[0122] An anomaly recognition module 1041, configured to identify anomaly data according to the data query result;

[0123] An information generation module 1042, configured to generate anomaly push information according to the anomaly data;

[0124] A user matching module 1043, configured to match the specified user corresponding to the anomaly data;

[0125] An information push module 1044, configured to push the anomaly push information to the specified user according to the push method preset for the specified user.

[0126] It should be understood that although the steps in the flowcharts of the embodiments of the present invention are shown in sequence according to the indications of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, at least a part of the steps in each embodiment may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0127] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0128] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for inverting evidence on the day of medical insurance flight inspection, characterized in that: The method specifically comprises the following steps: Receive audit inspection requirements, connect to the designated database in the data lake according to the audit inspection requirements, and perform data access and extraction to obtain service summary data; Design data screening rules according to the audit requirements; According to the data screening rules, perform data query and analysis on the service summary data, obtain data query results and display them; According to the data query results, abnormal data is identified, and abnormal information is pushed according to a preset user push method.

2. The method for inverting evidence on the day of medical insurance flight inspection according to claim 1 is characterized in that: The receiving of the audit inspection requirement, connecting to the designated database in the data lake according to the audit inspection requirement, and performing data access and extraction to obtain the service summary data specifically includes the following steps: Receive audit inspection requests; Configure and schedule workflows and create automated tasks based on the audit requirements; Connect to the specified database in the data lake according to the automation tasks described; Access and extract data from the specified database to obtain service summary data.

3. The method for inverting evidence on the day of medical insurance flight inspection according to claim 2 is characterized in that: The designated database includes a basic database, an inspection database and a drug usage database, and the abstract factory design pattern is adopted to integrate, access and switch the basic database, the inspection database and the drug usage database; the service summary data includes basic data, inspection data and drug usage data; the basic data includes the patient's age, gender and source; the inspection data includes the type, time and site of the inspection; the drug usage data includes the name, time and type of the drug.

4. The method for inverting evidence on the day of medical insurance flight inspection according to claim 1 is characterized in that: The receiving of the audit inspection requirement, connecting to the designated database in the data lake according to the audit inspection requirement, and performing data access and extraction, and obtaining the service summary data also includes the following steps: The service summary data is monitored for data quality through preset data quality rules.

5. The method for inverting evidence on the day of medical insurance flight inspection according to claim 1 is characterized in that: According to the audit requirements, designing data screening rules specifically includes the following steps: Prepare rules and update rule groups according to the audit requirements; Create audit rules, parent-child rules and special rules according to the rule groups; Design data screening rules based on the audit rules, the parent-child rules and the special rules.

6. The method for inverting evidence on the day of medical insurance flight inspection according to claim 1 is characterized in that: According to the data screening rules, performing data query and analysis on the service summary data, obtaining data query results and displaying them specifically include the following steps: Perform job scheduling and execute the data screening rules; According to the data screening rules, data query and analysis are performed on the service summary data to obtain data query results; Receive interactive query and analysis operations, and visualize the data query results.

7. The method for inverting evidence on the day of medical insurance flight inspection according to claim 1 is characterized in that: The step of identifying abnormal data according to the data query result and pushing abnormal information according to a preset user push method specifically includes the following steps: According to the data query result, identifying abnormal data; Generate abnormal push information according to the abnormal data; Matching a designated user corresponding to the abnormal data; The abnormal push information is pushed to the designated user according to the push method preset by the designated user.

8. A system for inverting evidence on the day of medical insurance flight inspection, characterized in that: The system includes a data access extraction unit, a screening rule design unit, a data query analysis unit and an anomaly identification push unit, wherein: A data access and extraction unit is used to receive audit inspection requirements, connect to a specified database in the data lake according to the audit inspection requirements, and perform data access and extraction to obtain service summary data; A screening rule design unit, used to design data screening rules according to the audit and inspection requirements; A data query and analysis unit, used to perform data query and analysis on the service summary data according to the data screening rules, obtain data query results and display them; The abnormality identification and pushing unit is used to identify abnormal data according to the data query result, and push abnormal information according to a preset user push method.

9. The system for inverting evidence on the day of medical insurance flight inspection according to claim 8 is characterized in that: The data access extraction unit specifically includes: A request receiving module is used to receive audit inspection requests; A task creation module is used to configure and schedule the workflow and create automated tasks according to the audit and inspection requirements; A database connection module, used to connect to a specified database in the data lake according to the automation task; The data access and extraction module is used to access and extract data from the specified database to obtain service summary data.

10. The system for inverting evidence on the day of medical insurance flight inspection according to claim 8, characterized in that: The abnormality identification and pushing unit specifically includes: An abnormality identification module, used to identify abnormal data according to the data query result; An information generation module, used to generate abnormal push information according to the abnormal data; A user matching module, used to match a designated user corresponding to the abnormal data; The information push module is used to push the abnormal push information to the designated user according to the push method preset by the designated user.

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