WO2020087978A1 - Procédé, appareil et dispositif de génération de modèle de vérification des contrôles des risques, et support d'informations - Google Patents

Procédé, appareil et dispositif de génération de modèle de vérification des contrôles des risques, et support d'informations Download PDF

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Publication number
WO2020087978A1
WO2020087978A1 PCT/CN2019/095430 CN2019095430W WO2020087978A1 WO 2020087978 A1 WO2020087978 A1 WO 2020087978A1 CN 2019095430 W CN2019095430 W CN 2019095430W WO 2020087978 A1 WO2020087978 A1 WO 2020087978A1
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Prior art keywords
data
risk control
processing module
control audit
audit model
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PCT/CN2019/095430
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English (en)
Chinese (zh)
Inventor
罗成洋
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平安医疗健康管理股份有限公司
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Publication of WO2020087978A1 publication Critical patent/WO2020087978A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08—Insurance

Definitions

  • the present application relates to the field of data processing technology, and in particular, to a method, device, device, and computer-readable storage medium for generating a risk control audit model.
  • the risk control audit logic used for risk control of medical insurance is implemented by writing code in JAVA or PKG.
  • Existing risk control audit rule logic not only requires programmers to develop corresponding programs for each new rule, but also requires the participation of programmers for subsequent changes and operation and maintenance processes, in order to put the updated risk control audit rule logic in the production environment. Perform program update and upgrade. Therefore, the existing risk control audit rules not only have a long writing cycle and process, but also have poor flexibility and adaptability.
  • the main purpose of the present application is to provide a method, device, equipment and computer-readable storage medium for generating a risk control audit model, aiming to solve the technical problem of poor flexibility and adaptability of existing risk control audit rules.
  • the present application provides a method for generating a risk control audit model.
  • the method for generating a risk control audit model includes the following steps:
  • the target processing module If the target processing module exists, obtain the data processing flow corresponding to the data type to be reviewed as the target processing flow;
  • a risk control audit model is generated according to the target processing module and the target processing flow, so as to review the medical data of the insured through the risk control audit model.
  • the method when receiving an audit request triggered by the policyholder's operation, the data to be audited uploaded by the policyholder is acquired, and the preset standard processing module is determined according to the type of the data to be audited of the data to be audited before the step of whether there is a target processing module corresponding to the data to be reviewed, the method further includes:
  • each standard data processing command a corresponding standard processing module is generated, and each standard processing module is stored according to the data type of the reviewed data.
  • the data to be audited uploaded by the policyholder is acquired, and the preset standard processing module is determined according to the type of the data to be audited of the data to be audited After the step of whether there is a target processing module corresponding to the data to be reviewed, it also includes:
  • target processing module determines whether there is an associated processing module corresponding to the data to be reviewed in the standard processing module;
  • the template to be edited is generated and displayed according to the associated data processing command, so that the user can modify the template to be edited to generate a target processing module.
  • the data to be audited uploaded by the policyholder is acquired, and the preset standard processing module is determined according to the type of the data to be audited of the data to be audited After the step of whether there is a target processing module corresponding to the data to be reviewed, it also includes:
  • a preset visual display identifier is displayed, so that the user can call the corresponding associated standard data processing module through the visual display identifier;
  • the corresponding standard processing module When receiving a selection instruction triggered by a user operation, according to the target display identifier and the selection order in the selection instruction, the corresponding standard processing module is called in turn to generate a risk control audit model to pass the risk control audit model to the policyholder Medical data is reviewed.
  • displaying a preset visual display identifier so that the user may call the corresponding associated standard data processing module through the visual display identifier before the step further includes:
  • the step of generating a risk control review model according to the target processing module and the target processing process to review the medical data of the insured by the risk control review model includes:
  • the risk control audit model is generated according to the analysis result of the descriptive file, so as to audit the medical data of the insured by the risk control audit model.
  • the step of generating a risk control audit model according to the analysis result of the descriptive file to review the medical data of the insured by the risk control audit model includes:
  • the present application also provides a risk control audit model generation device, the risk control audit model generation device includes:
  • the data acquisition module is used to obtain the data to be audited uploaded by the policyholder when the audit request triggered by the policyholder's operation is received, and determine the preset standard processing module according to the type of the data to be audited of the data to be audited Whether there is a target processing module corresponding to the data to be reviewed;
  • a flow confirmation module used to obtain the data processing flow corresponding to the data type to be audited as the target processing flow if the target processing module exists;
  • the model generation module is used to generate a risk control audit model according to the target processing module and the target processing flow, so as to audit the medical data of the insured through the risk control audit model.
  • the present application also provides a risk control audit model generation device
  • the risk control audit model generation device includes a processor, a memory, and is stored on the memory and can be used by the processor Executed computer-readable instructions, wherein when the computer-readable instructions are executed by the processor, the steps of the method for generating a risk control audit model as described above are implemented.
  • the present application also provides a computer-readable storage medium having computer-readable instructions stored on the computer-readable storage medium, wherein when the computer-readable instructions are executed by a processor, the implementation is as described above Of the generation method of the risk control audit model.
  • This application provides a method for generating a risk control audit model, that is, when receiving an audit request triggered by the policyholder ’s operation, the data to be audited uploaded by the policyholder is obtained, and according to the type of data to be audited of the data to be audited, Determine whether the target processing module corresponding to the data to be reviewed exists in the preset standard processing module; if the target processing module exists, obtain the data processing flow corresponding to the data type to be reviewed as the target processing flow; The target processing module and the target processing process generate a risk control review model to review the medical data of the insured through the risk control review model.
  • the present application encapsulates the logic rules for data review in advance to generate each standard processing module, and then determines the target processing module corresponding to the data to be reviewed in the standard processing module according to the type of data to be reviewed. After the target processing module is determined, each standard processing module in the target processing module is organized as a risk control audit model according to the data processing flow regulations corresponding to the data type to be audited. Therefore, the medical data of the insured person is reviewed through the risk control review model. As a result, the flexibility and adaptability of the risk control review model are improved, the efficiency of updating the risk control review rules is improved, and the effectiveness of medical data review is guaranteed.
  • FIG. 1 is a schematic diagram of a hardware structure of a risk control audit model generation device involved in an embodiment of the present application
  • FIG. 2 is a schematic flowchart of a first embodiment of a method for generating a risk control audit model of this application
  • FIG. 3 is a schematic flowchart of a second embodiment of a method for generating a risk control audit model of this application
  • FIG. 4 is a schematic flowchart of a third embodiment of a method for generating a risk control audit model of the application
  • FIG. 5 is a schematic diagram of functional modules of a first embodiment of a device for generating a risk control audit model of this application.
  • the method for generating a risk control audit model is mainly applied to a risk control audit model generation device.
  • the risk control audit model generation device may be a device with display and processing functions such as a PC, a portable computer, and a mobile terminal.
  • FIG. 1 is a schematic diagram of a hardware structure of a risk control audit model generation device involved in an embodiment of the present application.
  • the risk control audit model generation device may include a processor 1001 (for example, a CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005.
  • the communication bus 1002 is used to realize the connection and communication between these components;
  • the user interface 1003 may include a display (Display), an input unit such as a keyboard (Keyboard);
  • the network interface 1004 may optionally include a standard wired interface, a wireless interface (Such as WI-FI interface);
  • the memory 1005 can be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk storage, the storage 1005 may optionally be a storage device independent of the foregoing processor 1001.
  • FIG. 1 does not constitute a limitation on the generation device of the risk control audit model, and may include more or fewer components than the illustration, or a combination of certain components, or different Parts arrangement.
  • the memory 1005 in FIG. 1 as a computer-readable storage medium may include an operating system, a network communication module, and computer-readable instructions.
  • the network communication module is mainly used to connect to a server and perform data communication with the server; and the processor 1001 can call computer-readable instructions stored in the memory 1005 and execute the generation of the risk control audit model provided by the embodiments of the present application method.
  • the embodiment of the present application provides a method for generating a risk control audit model.
  • FIG. 2 is a schematic flowchart of a first embodiment of a method for generating a risk control audit model of the present application.
  • the method for generating the risk control audit model includes the following steps:
  • Step S10 When receiving the audit request triggered by the policyholder's operation, obtain the data to be audited uploaded by the policyholder, and determine whether the pending standard exists in the preset standard processing module according to the type of the data to be audited of the data to be audited Target processing module corresponding to data;
  • a method for generating a risk control audit model is provided and applied to the risk control audit model Generation system.
  • the risk control audit model generation system includes a server and computer readable instructions.
  • the server obtains the data to be audited uploaded by the policyholder through computer-readable instructions.
  • the data to be reviewed is medical data of the insured. For example, after an insured person purchases medicines and drugs at a premium price (purchased and used Nidanibu capsules), if the insured person's relevant medical data meets the conditions of medical insurance claims, the insured person can apply for medical insurance funds from the relevant institution.
  • the medical insurance claim condition may be to determine whether the audit data uploaded by the policyholder conforms to the applicable disease data of Nidarib capsules, such as the pathological diagnosis or thrombocytopenia or bleeding diagnosis necessary for the diagnosis of idiopathic pulmonary fibrosis; From this, it can be judged whether the insured person meets the claims conditions. If it meets the requirements, the actual cost of the insured person to buy Nida Nibu capsules can be obtained, and the claim expenses can be calculated by combining the claim ratio in the insurance plan. If not satisfied, the claim request of the insured is rejected.
  • the applicable disease data of Nidarib capsules such as the pathological diagnosis or thrombocytopenia or bleeding diagnosis necessary for the diagnosis of idiopathic pulmonary fibrosis
  • the server may obtain the data identifier of the data to be audited, and compare the data identifier of the data to be audited with the audited data in the preset data type library
  • the data types are matched to determine the data type to be audited of the data to be audited.
  • the audited data is a data set used for risk control audit.
  • the data set in the preset data type database can be classified according to different risk control audit rules.
  • the data set is based on risk control audit
  • the data set formed by the collected medical data according to the rules.
  • the type of data to be reviewed can be the type of disease, such as hypertension and diabetes. Matching the type of data to be reviewed with each standard processing module pre-stored in the database, that is, determining whether there is a target processing module for processing the data to be reviewed in each standard processing module.
  • Step S20 if the target processing module exists, acquire the data processing flow corresponding to the data type to be reviewed as the target processing flow;
  • the processing module is acquired as the target processing module. Then obtain the data processing flow corresponding to the data to be audited in the database, such as the data auditing flow of hypertension type or the data auditing flow of diabetes type, etc., and use the data processing flow as the target processing flow.
  • step S30 a risk control audit model is generated according to the target processing module and the target processing flow, so as to review the medical data of the insured through the risk control audit model.
  • each module in the target processing module is called in turn, whereby the organization generates a risk control audit model for reviewing the data to be audited uploaded by the policyholder.
  • the organization In order to review the claim qualification of the insured's medical data through the risk control review rules in the risk control review model.
  • step S30 specifically includes:
  • the risk control audit model is generated according to the analysis result of the descriptive file, so as to audit the medical data of the insured by the risk control audit model.
  • the descriptive file corresponding to the data to be reviewed is formed according to the target feature field in the target processing flow and the related processing command corresponding to the target processing module.
  • the descriptive file may specifically be a JSON file, an XML file, a pure file, etc.
  • SDK Software Development Kit
  • the step of generating a risk control audit model according to the analysis result of the descriptive file to review the medical data of the insured by the risk control audit model specifically includes:
  • the standard data processing commands may specifically include language frame commands, variable commands associated with the language frame commands, and so on. Analyze each type of data processing logic and extract standard data processing commands from it, use the same part of the programming code of the same type of data processing logic as the language framework command, and use the different part of the same type of data processing logic as the programming code Variable commands, etc.
  • the data processing commands corresponding to different data processing logics are encapsulated into corresponding standard data processing modules. After determining the target processing module corresponding to the data to be reviewed, the standard data processing command in the target processing module is obtained, which is the target data processing command.
  • each target data processing command is added to the preset program frame correspondingly, thereby generating a risk control audit model.
  • This embodiment provides a method for generating a risk control audit model, that is, when an audit request triggered by an operation of an insured person is received, the data to be audited uploaded by the insured person is obtained, and according to the type of data to be audited of the data to be audited To determine whether the target processing module corresponding to the data to be reviewed exists in the preset standard processing module; if the target processing module exists, obtain the data processing flow corresponding to the type of data to be reviewed as the target processing flow; The target processing module and the target processing process generate a risk control review model to review the medical data of the insured through the risk control review model.
  • the present application encapsulates the logic rules for data review in advance to generate each standard processing module, and then determines the target processing module corresponding to the data to be reviewed in the standard processing module according to the type of data to be reviewed. After the target processing module is determined, each standard processing module in the target processing module is organized as a risk control audit model according to the data processing flow regulations corresponding to the data type to be audited. Therefore, the medical data of the insured person is reviewed through the risk control review model. As a result, the flexibility and adaptability of the risk control review model are improved, the efficiency of updating the risk control review rules is improved, and the effectiveness of medical data review is guaranteed.
  • FIG. 3 is a schematic flowchart of a second embodiment of a method for generating a risk control audit model of the present application.
  • step S10 before the step S10, it further includes:
  • Step S41 Acquire the historical risk control review rules of the reviewed data, and acquire the historical data processing logic in the historical risk control review rules and each standard data processing command in the historical data processing logic;
  • the historical risk control audit rules used to audit the audited data in the database are obtained.
  • the risk control review rules are rules used for data review related to medical insurance claims.
  • the risk control review rules include a large amount of data used for review and the logical relationship between each data, and the qualification conditions of each data.
  • the logical relationship may specifically include a positive correlation relationship, a negative correlation relationship, a conditional relationship, etc.
  • the positive correlation relationship is specifically a relationship that must or may exist simultaneously between data
  • a negative correlation relationship is a relationship that cannot exist between data simultaneously
  • the conditional relationship is When a piece of data satisfies certain conditions, there is a relationship between certain data.
  • the limiting conditions may be specifically the conditions that the data to be audited needs to be satisfied, such as the value range and the preset type.
  • Different logic relationships and different qualifications can correspond to different data processing logics.
  • the data processing logics are specifically the programming code of the data review process in the risk control review rules. Divide the data processing logic into different types according to the different logical relationships and limiting conditions of risk control review rules, such as comparing the numerical relationship of two data into one category, analyzing the coexistence relationship of two data into one category, analyzing data Whether it is within the preset range is a category, whether the data exists in the preset data set is a category, different judgment results are a category, and different limiting conditions are a category.
  • Standard data processing commands may specifically include language frame commands, variable commands associated with language frame commands, and so on.
  • Step S42 Generate a corresponding standard processing module according to each standard data processing command, and store each standard processing module according to the data type of the reviewed data.
  • the standard data processing commands may specifically include language frame commands, variable commands associated with the language frame commands, and so on. Analyze the same type of data processing logic and extract standard data processing commands, use the same part of the same type of data processing logic as the language framework command, and use the same type of data processing logic as the variable Orders etc.
  • the data processing commands corresponding to different data processing logics are encapsulated into corresponding standard data processing modules. Each standard processing module is associated with the corresponding processing data type and stored.
  • step S10 it further includes:
  • target processing module determines whether there is an associated processing module corresponding to the data to be reviewed in the standard processing module;
  • the standard processing module may be added with an association identifier corresponding to the disease type data in advance.
  • the standard processing module processing the cerebral hemorrhage type data may be added with types of hypertension complications such as myocardial infarction, cerebral infarction, uremia, and renal failure Correlation ID corresponding to the disease type data. If there is no target processing module for processing the data to be audited, the type of data to be audited is matched with the disease type data corresponding to each standard processing module, and a processing module for processing similar types of data is acquired as an associated processing module.
  • the standard data processing command in the associated processing module is obtained as the associated data processing command.
  • the template to be edited is generated and displayed according to the associated data processing command, so that the user can modify the template to be edited to generate a target processing module.
  • the associated data processing command is added to the template to be edited, and the module to be edited is displayed, so that the user can add or modify the corresponding processing command based on the associated data processing command to generate the target processing module .
  • each visualization tool, the type of data that has been audited, and the type of data to be audited can be displayed for the user to directly call.
  • the user can select the standard processing module corresponding to the data to be audited in the displayed visualization tool and the type of audited data as the associated processing module.
  • the user's selection instruction is to modify the existing risk control audit rules, the corresponding descriptive file can be accessed, and the descriptive file can be edited into a template and displayed in the risk control audit rule generation application. So that users can edit correspondingly and generate target processing modules.
  • FIG. 4 is a schematic flowchart of a third embodiment of a method for generating a risk control audit model of this application.
  • step S10 it further includes:
  • Step S51 if the target processing module does not exist, display a preset visual display identifier, so that the user can call the corresponding associated standard data processing module through the visual display identifier;
  • each visualization tool, the type of audited data, and the type of data to be audited can be displayed.
  • the variable commands may be displayed in advance in the visualization tool according to different specific commands for the user to directly call.
  • Step S52 when receiving the selection instruction triggered by the user operation, according to the target display identifier and the selection order in the selection instruction, the corresponding standard processing module is sequentially called to generate a risk control audit model to pass the risk control audit model
  • the insured ’s medical data is reviewed.
  • the user can select the standard processing module corresponding to the data to be reviewed in the displayed visualization tool and the type of the reviewed data. If the user's selection instruction is to add a new risk control review rule, then directly operate in the newly created editing template to generate a descriptive file; if it is to modify an existing risk control review rule, the corresponding descriptive file can be retrieved, An editable template is generated from the descriptive file and displayed in the risk control audit rule generation application.
  • risk control audit rules When adding or modifying risk control audit rules, you can select the required visualization tools, audited data types, and data types to be audited, the data corresponding to the audited data types and the data corresponding to the audited data types, or The standard processing module (or the associated standard data processing command) associated with the selected visualization tool forms the processing logic. Then, a risk control audit model is generated according to the processing logic. Further, when there are multiple processing logics established by the selected visualization tool, the user can determine the order between the various processing logics according to the risk control audit rules to be added or modified to form the risk control audit rules. Processing flow.
  • the above operation of the user can form feedback information by issuing corresponding operation instructions, and the feedback information includes the selected required visualization tool, type of data reviewed, and type of data to be reviewed, as well as the visualization tool, type of data reviewed, and type of data to be reviewed. Correspondence between them, the order of each visualization tool, etc., through the feedback information section to determine the processing flow of risk control audit rules, and according to the processing flow can form a descriptive document.
  • the descriptive files may be specifically JSON files, XML files, pure files, and so on.
  • step S42 it also includes:
  • each standard processing module is formed into a visual tool that can be displayed in the risk control audit rule generation application through a preset visual identification, and the visual tool is associated with its corresponding standard processing module.
  • the preset visual display identifier may be an icon, text, or the like.
  • the visualization tool can be specifically combined with multiple display modes, and the user can switch the display mode according to the usage requirements.
  • each visualization tool upon receiving the command added or modified by the risk control review rule, or the command displayed by the tool, each visualization tool, the type of data reviewed and the type of data to be reviewed can be displayed.
  • the audited data here is a data set used for risk control audit.
  • the data set of audited data can be classified according to different risk control audit rules.
  • the data set is a data set formed by collecting corresponding medical data according to the risk control review rules.
  • the data to be audited here is the medical data of the insured who is audited, and the data to be audited is classified according to different risk control audit rules and is the type of data to be audited.
  • the standard processing module may specifically include a language frame command and a variable command associated with the language frame command.
  • Variable commands can be displayed differently in the visualization tool according to different specific commands in advance for users to call directly; in addition, channels associated with language frame commands can also be provided to be displayed in the real tool, and variable commands can be formed after obtaining user variable definition .
  • the embodiments of the present application also provide a device for generating a risk control audit model.
  • FIG. 5 is a schematic diagram of functional modules of a first embodiment of a device for generating a risk control audit model of the present application.
  • the device for generating the risk control audit model includes:
  • the data acquisition module 10 is used to obtain the data to be audited uploaded by the policyholder when the audit request triggered by the policyholder's operation is received, and determine the preset standard processing module according to the type of the data to be audited of the data to be audited Whether there is a target processing module corresponding to the data to be reviewed;
  • the flow confirmation module 20 is used to obtain the data processing flow corresponding to the data type to be audited as the target processing flow if the target processing module exists;
  • the model generation module 30 is configured to generate a risk control audit model according to the target processing module and the target processing flow, so as to review the medical data of the insured through the risk control audit model.
  • model generation module 30 specifically includes:
  • a file generating unit configured to generate a descriptive file according to the target processing module and the target processing flow, and run the SDK to parse the descriptive file;
  • the model generating unit is configured to generate a risk control audit model according to the analysis result of the descriptive file, so as to audit the medical data of the insured through the risk control audit model.
  • model generating unit includes:
  • the command obtaining subunit is used to obtain the target characteristic field in the descriptive file according to the analysis result of the descriptive file, and obtain the standard data processing command in the target processing module according to the target characteristic field as Target data processing commands;
  • the command adding subunit is used to add the target data processing command to a preset program framework and generate the risk control review model to review the medical data of the insured through the risk control review model.
  • the device for generating a risk control audit model includes:
  • the command extraction module is used to obtain the historical risk control audit rules of the audited data, and obtain the historical data processing logic in the historical risk control audit rules and various standard data processing commands in the historical data processing logic;
  • the command encapsulation module is used to generate a corresponding standard processing module according to each standard data processing command, and store each standard processing module according to the data type of the audited data.
  • the device for generating a risk control audit model includes:
  • the correlation module judgment module is used to judge whether the correlation processing module corresponding to the data to be reviewed exists in the standard processing module if the target processing module does not exist;
  • the correlation module acquisition module is used to acquire the standard data processing command corresponding to the correlation processing module as the correlation data processing command if the correlation processing module exists;
  • the associated module editing module is used to generate and display the template to be edited according to the associated data processing command, so that the user can modify the template to be edited to generate the target processing module.
  • the device for generating a risk control audit model includes:
  • the identification display module is used to display a preset visual display identification if the target processing module does not exist, so that the user can call the corresponding standard data processing module through the visual display identification;
  • the model combination module is configured to, when receiving a selection instruction triggered by a user operation, generate a risk control audit model by sequentially calling the corresponding standard processing module according to the target display identifier and the selection order in the selection instruction to pass the risk control
  • the audit model reviews the medical data of the insured.
  • the risk control audit model generating device further includes:
  • the command association module is used to obtain a preset visual display identifier, and associate the visual display identifier with a corresponding standard processing module according to a preset display rule.
  • each module in the device for generating the risk control audit model corresponds to each step in the embodiment of the method for generating the risk control audit model, and its functions and implementation processes will not be described here one by one.
  • embodiments of the present application also provide a computer-readable storage medium, and the computer-readable storage medium may be a non-volatile readable storage medium.
  • the computer-readable storage medium of the present application stores computer-readable instructions, wherein when the computer-readable instructions are executed by a processor, the steps of the method for generating the risk control audit model described above are implemented.
  • the methods in the above embodiments can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware, but in many cases the former is better Implementation.
  • the technical solution of the present application can be embodied in the form of a software product in essence or part that contributes to the existing technology, and the computer software product is stored in a storage medium (such as ROM / RAM , Magnetic disk, optical disk), including several instructions to make a terminal device (which can be a mobile phone, computer, server, air conditioner, or network equipment, etc.) to perform the method described in each embodiment of the present application.

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Abstract

L'invention concerne un procédé, un appareil et un dispositif de génération de modèle de vérification des contrôles des risques, et un support d'informations. Le procédé consiste : lors de la réception d'une demande de vérification déclenchée par l'opération d'un titulaire de police, à acquérir des données à vérifier téléchargées par le titulaire de police, et à déterminer, en fonction du type de données à vérifier, si un module de traitement cible correspondant aux données à vérifier existe dans un module de traitement standard prédéfini (S10); si le module de traitement cible existe, alors à acquérir un flux de traitement de données correspondant au type de données à vérifier, et considérer ce dernier comme flux de traitement cible (S20); et à générer un modèle de vérification des contrôles des risques en fonction du module de traitement cible et du flux de traitement cible de façon à vérifier des données médicales du titulaire de police au moyen du modèle de vérification des contrôles des risques (S30). Les données médicales du titulaire de police sont vérifiées au moyen du modèle de vérification des contrôles des risques en fonction d'une analyse de mégadonnées, et ainsi, la flexibilité et l'adaptabilité du modèle de vérification des contrôles des risques sont améliorées, l'efficacité de mise à jour des règles de vérification des contrôles des risques est améliorée, et la validité de la vérification des données médicales est assurée.
PCT/CN2019/095430 2018-10-29 2019-07-10 Procédé, appareil et dispositif de génération de modèle de vérification des contrôles des risques, et support d'informations WO2020087978A1 (fr)

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CN201811266957.5 2018-10-29
CN201811266957.5A CN109636624A (zh) 2018-10-29 2018-10-29 风控审核模型的生成方法、装置、设备及存储介质

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