CN114816343B - Applet system in EPRO software based on medical clinical field - Google Patents
Applet system in EPRO software based on medical clinical field Download PDFInfo
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Abstract
The invention provides an applet system based on EPRO software, which comprises an applet software architecture, a program storage unit and a control unit, wherein the applet software architecture consists of one or more services; each service operates in its independent process, each service providing a service of a single business function; cloud computing and applet frameworks including infrastructure services, platform services, and software services; the infrastructure service employs a container orchestration engine based on multiple kubernetes; the platform service adopts ePRO applet design and development based on PlugIn architecture; the software service adopts a custom protocol language compiler to provide a customizable module; the system docking integrated service module is used for realizing system docking and information transmission and delivery; the transmission module is used for being in butt joint with the intelligent hardware and/or the wearable equipment; the data processing rule engine analyzes and processes protocol contents through a custom protocol language compiler and deploys the protocol contents into a background service to realize the functions of version management, protocol activation, protocol suspension and the like of the background.
Description
Technical Field
The invention belongs to the technical field of software customization, and particularly relates to an applet system in special EPRO software based on the medical clinical field.
Background
Custom software services have long been, and common solutions are custom software design services provided to address a single service. With the advent of WeChat applet and SAAS mode, the need for different customizations of multiple services can be met by a platform approach, and the concept of thoroughly changing software from product to service has emerged.
However, SAAS service in the clinical medicine field, particularly in the EPRO application is relatively lagged, on the one hand, the medical medicine field is relatively strict, and the data privacy safety and stability are more required than other fields. On the other hand, medical and pharmaceutical software has a certain professional barrier, so that no good platform capable of providing SAAS service exists in the field of professional EPRO products.
Disclosure of Invention
Typically, the patient data collection management project in a single clinical trial or the individual patient education project is an independent standardized EPRO product, but a personalized design for a client needs to be introduced into the project (for example, a third party wearable electrocardiograph device is used in the client project, the subject collection data acquired by the existing third party needs to be combined with the subject collection data in the clinical trial and pushed to a subject or a researcher, so that the subject or the researcher needs to be docked with the EPRO platform design data, and customized presentation is performed), and the customizable service provided by the applet can just meet the requirement.
The applet itself is an extended applet built on the EPRO product service, where the applet's management end is located. The applet manager may provide the EPRO data interface, applet independent methods and algorithm interfaces, call rules, visual configuration and partial on-line compilation management tools for the customer related items. The customer may configure the personalized applet in accordance with a clinical trial program or a patient education program. And pushing the customized and generated proprietary applet to the project EPRO product through the configuration of the independent service port.
The invention provides an applet system in EPRO software, comprising:
applet software architecture, consisting of one or more services; each service operates in an independent process, and each service has a service providing a single business function;
a cloud computing and applet framework comprising: infrastructure services, platform services, and software services; wherein,
the infrastructure service employs a container orchestration engine based on a plurality of Kubernetes;
the platform service adopts ePRO applet design and development based on a PlugIn architecture;
the software service adopts a custom protocol language compiler to provide a customizable module;
the system docking integrated service module is used for realizing system docking and information transmission and delivery;
the transmission module is used for being in butt joint with the intelligent hardware and/or the wearable equipment;
and the data processing rule engine analyzes and processes the protocol content through the custom protocol language compiler and deploys the protocol content into a background service to realize the functions of version management, protocol activation, protocol suspension and the like of the background.
In the applet system provided by the invention, the services are communicated with each other by adopting a lightweight RESTful API communication mechanism based on HTTP.
In the applet system provided by the invention, the applet software architecture adopts a container arrangement engine based on FaaS of Kubernetes.
In the applet system provided by the invention, the ePRO applet design development can provide customized interactive application service by a third party and is grafted on a platform.
In the applet system provided by the invention, the applet is operated under the environment of the original browser, belongs to WebAPP Web applications, all components are based on DOM components of the original browser, and all third party applications are directly accessed into the ePRO applet in the form of the original Web page.
In the applet system provided by the invention, the system for interfacing the integrated service module by the third party system comprises: clinical information system EDC system, PV system after marketing and clinical data statistical analysis system.
In the small program system provided by the invention, after the protocol is activated, the data processing rule engine uses a custom protocol language compiler to set rules, defines own grammar and naming mode, integrally uses a Json file form, and the core is to simply package a large number of responsible logic codes; aiming at grammar and rules, an independent analysis mode is adopted, the language is converted into js, and analysis is carried out through embedded WebView of the APP; writing a project Protocol, and performing electronic migration and verification; after the project Protocol is activated, the system sets rules according to project schemes, and automatically pushes project custom content to a system user side according to regulations.
In the small program system provided by the invention, based on different medical models in the disease field, a patient management model in the relevant disease field is established, and according to data feedback filled by a user side, relevant intervention behaviors are correspondingly and automatically triggered according to preset rules, and alarm diffusion is carried out according to a preset time window.
In the small program system provided by the invention, according to data feedback, the data processing rule engine analyzes keywords, automatically pushes related data content or preset related content, and automatically replies asynchronous messages.
The small program system provided by the invention comprises 3 main parts:
1. the applet application management module:
through the visualization interface configuration K8SAPI deployment and management applet applications, each application can define its own container port, but cannot conflict with other applications.
1.1 deploying the CPU and the memory usage of the container occupied by each sub-applet application and carrying out life cycle management.
1.2 configuration applet corresponds to unique port of the container that can be accessed externally.
1.3 each applet can configure a separate MySQL database.
1.4 applet application information registration, configuration information is maintained in the MongoDB master database.
2. TPD trial perspective deployment
Trial perspective deployment is the core of the whole applet implementation, and it designs the whole application service for different trial applet applications, including independent container services, independent databases and data APIs.
2.1 independent container service, the container is the true host of the small program, each application program runs on the TPD in the container of the application program, and the whole container service is realized by importing a host server of a designated package (App) through the container image in an initialization stage and continuing to run as a service back-end endpoint. Each container discloses only one port as a service port, which also maps to the same port on the upstream svc.
2.2 static Web front-end resources should be hosted by the container.
2.3 the application program single sandbox folder and database are initialized when the TPD is created for the first time, and the initialization js encapsulated program package is called to complete. The whole applet application code is uploaded to the server by the application manager and distributed to the corresponding independent resource file library while the files are controlled by the corresponding versions.
2.4 public platform data read-only access API.
2.5 rights control of user roles to access applet within trial.
2.6 the end point controller of the applet service may be implemented as a GraphQL end point.
3. Dynamic inlet controller
3.1 forwarding the trial number (Trialid) via the URL to the designated SVC of the TPD.
And 3.2, forwarding the port to the appointed port of the TPD through an App definition port set in the application management end.
3.3 reading the configuration from the database in case of integrated authentication.
3.4 the application manager is configured with a refresh API in case of integrated authentication.
4. C-GraphQL-core
The communication between modules is mainly responsible, and the core technology is realized through RESTAPI.
The invention is based on an applet system in EPRO software in the medical clinical field, and has the following beneficial effects:
1. the service realized by the whole applet can be diversified and flexible, and meets the personalized customization requirements of most clinical trials or research schemes after marketing.
2. Each applet can be deployed independently, and the friendliness of the open design to further development is improved, so that the cost and efficiency of development and deployment are greatly reduced.
3. The applet can be designed based on openness, and can be butted with a third party or other related software service providers, so that a high-quality service provider can be conveniently introduced to form an advantage service for clients, and a reciprocal and reciprocal win-win service is formed.
4. Because each applet is independently deployed in the container service, the individual resources are occupied and do not interfere with each other, so that the independence of a single service is ensured, and the starting speed is high because the applet does not depend on too many other services.
5. The applet is based on the plug-in service realized by the Web application service, so that the applet accords with the characteristics of a webpage, and is convenient and quick to use and walk.
Drawings
FIG. 1 is a diagram of a whole small-program architecture of the present invention.
Fig. 2 is a schematic diagram of a container service in accordance with the present invention.
FIG. 3 is a schematic diagram of a perspective deployment of a small program trial of the present invention.
FIG. 4 is a diagram of the overall architecture of the platform of the present invention.
Fig. 5 is a high-level design of the eCOA/ePRO system of the present invention.
Detailed Description
The invention will be described in further detail with reference to the following specific examples and drawings. The procedures, conditions, experimental methods, etc. for carrying out the present invention are common knowledge and common knowledge in the art, except for the following specific references, and the present invention is not particularly limited.
The invention provides an applet system in EPRO software, comprising:
applet software architecture, consisting of one or more services; each service operates in an independent process, and each service has a service providing a single business function;
a cloud computing and applet framework comprising: infrastructure services, platform services, and software services;
the system docking integrated service module is used for realizing system docking and information transmission and delivery;
the transmission module is used for being in butt joint with the intelligent hardware and/or the wearable equipment;
and the data processing rule engine analyzes and processes the protocol content through the custom protocol language compiler and deploys the protocol content into a background service to realize the functions of version management, protocol activation and protocol suspension of the protocol.
The infrastructure service employs a container orchestration engine based on a plurality of kubernetes; the platform service adopts ePRO applet design and development based on a PlugIn architecture; the software service adopts a custom protocol language compiler to provide a customizable module.
In the invention, the services are communicated with each other by adopting a lightweight RESTful API communication mechanism based on HTTP.
In the invention, the ePRO applet software architecture adopts a container orchestration engine of FaaS based on Kubernetes.
In the invention, the ePRO applet is designed and developed to provide customized interactive application service by a third party and grafted on a platform; the ePRO applet design is different from the WeChat applet design, the WeChat applet is operated in a built-in parser environment based on a WeChat browser (after browser kernel reconstruction), and is an application program between a web end and a native App, and the WeChat applet has own components, and the basic components are based on an Experser framework. Experser is based on the shadow DOM model of WebCommponts, so third parties must develop with separate front-end components of WebCommponts, raising a threshold for developers. The ePRO applet operates in a browser native environment, belongs to webAPP webpage applications, is based on a browser native DOM component, and can be directly accessed into the ePRO applet in a form of a webpage by all third-party applications, so that the access is flexible and convenient.
In the invention, the system for interfacing the integrated service module by the third party system comprises: clinical information system EDC system, PV system after marketing and clinical data statistical analysis system.
In the invention, in the data processing rule engine, after the protocol is activated, a shortcut self-defined protocol language compiler is used for setting rules, own grammar and naming modes are defined, the whole is in a Json file form, and the core is to simply package a large number of responsible logic codes, so that the whole code quantity is greatly shortened, and meanwhile, the safety protection is improved, so that the code quantity is not easy to be directly analyzed by other software or tools, an independent analysis mode is adopted for the grammar and the rules, and the language is converted into js to be analyzed through webView embedded in an APP. Writing a project Protocol, and performing electronic migration and verification; after the project Protocol is activated, the system sets rules according to project schemes, and automatically pushes project custom content to a system user side according to regulations.
In the invention, a related disease field scheme design model is established based on different disease field clinical experiment design schemes. The complete clinical test scheme generally comprises a test period, a test stage flow, test groups and test schemes aiming at different groups (the schemes comprise medication records of different periods, period log filling and period visit records), while the ePRO can customize differentiated scheme design according to each part of all the models, correspondingly and automatically trigger related intervention behaviors according to preset rules and alarm diffusion according to preset time windows according to data feedback submitted by a user side.
According to the invention, the data processing rule engine analyzes the keywords according to the data feedback, automatically pushes the related data content or the preset related content, and automatically replies the asynchronous message.
Examples
The applet system in the EPRO software in this embodiment includes: the system comprises an applet software architecture, a cloud computing and applet architecture, a system docking integrated service module, a transmission module and a data processing rule engine.
Software architecture design of applet (MicroService) in this embodiment:
the method adopts a small program (Microservies) software architecture design, adopts a large complex software application of the medical profession such as ePRO and consists of tens of small programs, creatively divides a single-body application program into a group of small services, each service runs in an independent process of the single-body application program, and adopts a lightweight HTTP-based RESTful API communication mechanism to communicate with each other, and the services are coordinated with each other and are matched with each other.
The software architecture core of the system of the embodiment is to split the traditional one-stop application into one service according to the service, thoroughly decouple each service, and each service has the service providing a single service function, one service is a small and independent processing process from the technical point of view, and similar to the process concept, can be independently started or destroyed by oneself and has an independent database. The applets can be deployed independently, with loose coupling between the applets. Each applet is focused on completing only one task and completing the task well. In all cases, each task represents a small business capability, and the system function of the applet system can be easily expanded based on different business application scenes in the future.
Meanwhile, the embodiment also adopts a container technology of FaaS (function as a service) based on Kubernetes, and supports system load balancing, automatic deployment and large-scale telescopic application.
Kubernetes is a container orchestration engine that supports automated deployment, large scale scalability, and application containerization management. When an application is deployed in a production environment, multiple instances of the application are typically deployed to load balance application requests.
In Kubernetes, multiple containers may be created, one application instance running in each container, and then management, discovery, and access to the set of application instances is implemented through a built-in load balancing policy, where no complex manual configuration and processing by operation and maintenance personnel is required for these details. Has the following characteristics:
portability, supporting public clouds, private clouds, hybrid clouds, multiple clouds (multi-clouds);
the expansion is modular, plug-in, mountable and combinable;
automating, automatic deployment, automatic restart, automatic copy, automatic telescoping/expanding.
Cloud computing and ePRO applet (ePROMiniAPP) architecture design application in this embodiment: cloud computing of a platform, contained at various levels, can be divided into three classes: infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS).
At the IaaS level, the system is constructed on a public cloud platform of the Arian cloud, and meanwhile, a container arrangement engine based on a plurality of Kubernetes provides support for automatic deployment, large-scale scalability and application containerization management for clients and partners, and provides flexible resource management.
In the PaaS level, the architecture design of PlugIn is innovatively adopted on the architecture design of a data bus and a functional module of the system, so that the design and development (ePROMiniAPP) of the ePRO applet of the shortcut is independently realized, and convenience is provided for software access and expansion. ePROMiniApp (ePRO applet): this is the concept of adding an applet (similar to a WeChat applet) in an ePRO system for the first time worldwide, and customized interactive application services can be provided by a third party according to the needs of customers and seamlessly grafted onto a platform. Meanwhile, the applet architecture expands the ePRO platform into a real application platform, integrates third-party medical services, creates an ecological platform facing patient services, and has stronger flexibility, advancement and expandability compared with the ePRO products of the same type at home and abroad in terms of patient compliance, patient care, patient follow-up, patient teaching information pushing, doctor-patient interaction and the like.
In the SaaS level, a strapdown custom Protocol Language compiler (J-Language) is adopted to provide customizable modules based on respective requirements of clients for users and partners, and the development project delivery content is customized according to medical schemes (protocols) of different projects.
The third party system in this embodiment interfaces with an integrated service module (intersystemservice):
the embodiment of the system provides a third party system docking integrated service module, can realize seamless and safe system docking, realizes information transmission and delivery, not only can provide a more complete solution for users, but also greatly improves the execution efficiency of projects, and the docking system comprises:
clinical information systems EDC (electronic data acquisition) systems, such as medidatave;
post-market PV (drug alert) systems, such as Argus/Arglobal;
clinical data statistical analysis systems, such as SAS.
The transmission module in this embodiment interfaces with the intelligent hardware/wearable device (eLink module):
the system of the embodiment is to be in butt joint with external intelligent hardware/wearable equipment data (such as an intelligent medicine box, an intelligent blood pressure meter, an intelligent blood glucose meter and the like), and wireless communication data transmission is to be carried out by adopting a wireless Bluetooth V4.2 protocol. The medical intelligent hardware/wearable intelligent equipment used by the patient can be subjected to data acquisition and transmission by combining with clinical actual demands, communication data support is provided for the external hardware equipment of the ePRO system, the data acquisition range of the ePRO system is continuously expanded, objective data acquisition (such as medication compliance data, blood sugar, blood pressure and even electrocardiograph data) is acquired from patient data acquisition, the diagnosis and treatment and monitoring conditions of the patient can be more comprehensively known, and powerful data support is provided for disease management.
The data processing rule engine based on disease field and medical model in this embodiment:
in order to meet the personalized requirements of different clients of each project and the content of corresponding project medical schemes (protocols), the system of the embodiment develops a set of custom Protocol Language compiler (J-Language), analyzes and processes the Protocol content, flexibly disposes the Protocol content in a background service, and realizes the functions of version management of the Protocol, protocol activation, protocol suspension and the like of the background.
After the Protocol is activated, project delivery personnel can use a custom Protocol Language compiler (J-Language) to write a project Protocol according to medical scales, questionnaires, medicine taking records, AE report reports in different disease fields, diagnosis and treatment in related disease fields, follow-up rules and other specific personalized project requirement settings, and carry out electronic migration and verification. After the project Protocol is activated, the system sets the rules according to the project scheme, and automatically pushes the project custom content to the system user side according to the regulations.
In addition, based on different medical models in the disease field, a patient management model in the relevant disease field is gradually built, and according to data feedback filled by a user side, such as medicine taking record filling, scale content filling or AE (such as the level of relevant events), relevant intervention behaviors are correspondingly and automatically triggered according to rules preset by a system, such as: and informing relevant medical staff (doctor, nurse or call center personnel) to intervene in a mode of in-station communication, mail, short message and the like, and carrying out alarm diffusion according to a preset time window. For example, if a patient reports an Adverse Effect (AE) pain level of more than three levels, the system will automatically notify the nurse of the message. If the nurse does not respond any within 10 minutes, the system will alert the active diffusion and will automatically report to the patient's physician in charge of the treatment.
In addition, according to the data feedback, the rule engine analyzes the keywords, automatically pushes relevant education material contents (including texts, pictures, videos and the like) of the patient or preset relevant contents, automatically replies asynchronous messages, and solves the online consultation problem of the patient.
The embodiment adopts a distributed system based on small programs, and uses a container virtualization deployment environment to form a cloud system with high availability, easy maintenance, high concurrency and strong disaster recovery capability. The modularized software structure is convenient for customization, and provides software, a server and a platform-based server-side data processing function in a service mode, so that the application customized by a user can be developed more quickly and used more conveniently, the problems of basic deployment, operation and maintenance and the like are not needed, the cost is saved, and the pricing of the sub-modules is facilitated. The design of the small program architecture has the main advantages that: focusing service: each applet is small so that it can focus on a specific business function or business requirement.
a) Independent development: each applet can be developed individually by a small team consisting of 2 to 5 developers. The method is particularly suitable for the characteristic that research and development teams evolve from small scale to large scale, and the cost, efficiency and quality can be considered when the research and development teams are in different development stages;
b) Error isolation: the applet is loosely coupled and is a service with functional significance, and is independent in both a development stage and a deployment stage, so that the applet is suitable for the initial stage of product research and development, and the running and maintenance cost can be saved after the software is on line; the entire system can continue to operate even if one of the services fails.
c) Hybrid technology stack: the applet can be developed by using different languages, a plurality of technical stacks and development languages are supported, the applet is suitable for the requirements of different scene applications, and the technical diversity is maintained on the team;
d) And (5) expanding according to granularity: the applet is easy to understand, modify and maintain by a developer, has a low learning curve, is easy to be put on hand, and is easy to maintain later. Meanwhile, the small team can pay more attention to own work results.
e) The new technology is fused: the applet allows the use of fusion-latest technology.
f) And (3) service separation: the applet is simply the code of the business logic and does not mix with HTML, CSS, or other interface components.
The overall architecture system of the system of this embodiment is shown in fig. 4, where the platform is designed according to a micro-program (MicroService) architecture, and uses a FaaS (function as a service) container orchestration engine to develop and deploy related functions, and the background includes two levels of a client and a cloud:
the user terminal:
1) Web project/test management tool developed by adopting JSP, HTTP, CSS and other technologies
2) Electronic scale
3) ePROMiniAPP (ePRO applet) UI
4) Strapdown custom protocol language compiler (J-LanguageCompiler)
5) The mobile phone APP is developed by adopting reactive and supports IOS and Android
Cloud:
1) The background core application adopts the small program structure design and adopts NodeJS to develop
a) ePRO core database (MongoDB & MySQL)
b) Medical model application engine
c) Mobile end application protocol parsing
d) Message push service
2) FaaS container management
a) Integration module engine (third party system and external intelligent hardware/wearable device)
b) ePROMiniAPP (applet) server side container engine
c) Customized report engine
The cloud system has the advantages of high availability, easy maintenance, high concurrency, strong disaster recovery capability, scalability and expansibility, and can be developed rapidly. The operation and maintenance requirements and the cost of the system in the future are also greatly reduced. The main innovation point of the project is that:
a) ePROMiniAPP (ePRO applet) architecture design: the method is characterized in that the concept of adding an applet (similar to a WeChat applet) into the ePRO system for the first time in the world, customized interactive application service can be provided by a third party according to the requirements of clients, and the customized interactive application service is seamlessly grafted on a platform, so that the method has stronger flexible advancement and expandability. Meanwhile, the ePRO platform is expanded into a real application platform by the applet architecture, and third-party medical services are integrated, so that an ecological platform facing patient services is created.
b) Architecture design of applet and container management of FsaS: the core in the whole applet architecture is test perspective deployment, which designs the whole application service aiming at different test applet applications, and the whole deployment flow comprises independent container service, independent database and data API. The whole deployment is completed through the visual configuration of system management, the uploading and program analysis of the code program package of the independent applet application are realized, the static file resource configuration is realized, the independent container resource configuration (comprising cup and memory occupation amount), the independent database configuration (database address, port and account information) and the definition rule of the data API are realized, and the authority control of the user role access applet in the test is realized. NodeJS and reactionary are technical stacks, are suitable for the evolution process from small to large of the current project development team, and can realize rapid development. The system has high availability, supports high concurrency of large-scale users, has strong system scalability and flexible expansion, is easy to deploy and maintain, and ensures high cost performance development of projects by price design and technology stack selection;
c) Docking with intelligent hardware/wearable equipment (eLink module) continuously expands the acquisition range of ePRO system data, and can collect patient data more comprehensively and efficiently from acquisition of patient data to acquisition of objective data (such as medication compliance data, blood sugar, blood pressure and even electrocardiographic data), thereby providing powerful data support for disease management.
d) The data processing rule engine based on the disease field and the medical model can be flexibly applicable to a plurality of disease fields, realizes rapid personalized customization and deployment, intelligently provides related disease management and related patient service functions according to predefined rules based on data feedback, and realizes efficient and low-cost medical service.
The protection of the present invention is not limited to the above embodiments. Variations and advantages that would occur to one skilled in the art are included in the invention without departing from the spirit and scope of the inventive concept, and the scope of the invention is defined by the appended claims.
Claims (4)
1. An applet system in EPRO software, comprising:
applet software architecture, consisting of one or more services; each service operates in an independent process, and each service has a service providing a single business function; the applet software architecture adopts a container orchestration engine of FaaS based on Kubernetes;
a cloud computing and applet framework comprising: infrastructure services, platform services, and software services; the infrastructure service employs a container orchestration engine based on a plurality of kubernetes; the platform service adopts ePRO applet design and development based on a PlugIn architecture; the software service adopts a custom protocol language compiler to provide a customizable module;
the system docking integrated service module is used for realizing system docking and information transmission and delivery;
the transmission module is used for being in butt joint with the intelligent hardware and/or the wearable equipment;
the data processing rule engine analyzes and processes protocol content through the custom protocol language compiler and deploys the protocol content into background service to realize the functions of version management, protocol activation and protocol suspension of the background; in the data processing rule engine, after a protocol is activated, a custom protocol language compiler is used for setting rules, own grammar and naming modes are defined, a Json file form is integrally utilized, and a large number of responsible logic codes are simply packaged in the core; aiming at grammar and rules, an independent analysis mode is adopted, the language is converted into js, and analysis is carried out through embedded WebView of the APP; writing a project Protocol, and performing electronic migration and verification; after the project Protocol is activated, the system sets rules according to project schemes, and automatically pushes project custom content to a system user side according to regulations;
the services are communicated with each other by adopting a lightweight RESTful API communication mechanism based on HTTP;
the ePRO applet is designed and developed to provide customized interactive application service by a third party and grafted on a platform;
the ePRO applet is operated in a browser native environment, belongs to webAPP webpage applications, is based on a browser native DOM component, and is directly accessed to the ePRO applet in a form of a webpage.
2. The applet system as in claim 1, wherein said system for interfacing integrated service modules comprises: clinical information system EDC system, PV system after marketing and clinical data statistical analysis system.
3. The applet system according to claim 1 wherein the related disease field protocol design model is built based on protocols of different disease field clinical experimental designs; the applet system is designed according to the customized differentiation scheme of each part in all the models, and according to the data feedback filled by the user side, according to the preset rule, the related intervention behavior is triggered correspondingly and automatically, and according to the preset time window, the alarm diffusion is carried out.
4. The applet system according to claim 1 wherein said data processing rules engine automatically pushes related material content or preset related content for automatic asynchronous message reply based on data feedback.
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