CN113724810A

CN113724810A - Data processing method, device, equipment and readable storage medium

Info

Publication number: CN113724810A
Application number: CN202111017836.9A
Authority: CN
Inventors: 汪雅倩
Original assignee: Ping An International Smart City Technology Co Ltd
Current assignee: Ping An International Smart City Technology Co Ltd
Priority date: 2021-08-31
Filing date: 2021-08-31
Publication date: 2021-11-30
Anticipated expiration: 2041-08-31

Abstract

The embodiment of the application discloses a data processing method, a device, equipment and a readable storage medium, which relate to the artificial intelligence technology, wherein the method comprises the following steps: acquiring N initial follow-up templates and follow-up items contained in each initial follow-up template; acquiring follow-up questions corresponding to follow-up items from a preset follow-up knowledge base, and filling the follow-up questions into the follow-up items corresponding to the initial follow-up templates to obtain N follow-up templates; acquiring a follow-up trigger event corresponding to each follow-up template; and obtaining the patient state information sent by the patient end, if a target follow-up visit trigger event matched with the patient state information exists in the follow-up visit trigger events corresponding to the N follow-up visit templates, sending the follow-up visit template corresponding to the target follow-up visit trigger event to the patient end for follow-up visit answering when the target follow-up visit trigger event is detected. By adopting the embodiment of the application, the visiting follow-up of doctors can be reduced, and the visiting follow-up efficiency is improved.

Description

Data processing method, device, equipment and readable storage medium

Technical Field

The present application relates to the field of artificial intelligence technologies, and in particular, to a data processing method, apparatus, device, and readable storage medium.

Background

The national issue requires that hospitals at all levels provide quarterly or annual follow-up services for population in the district, wherein the follow-up services comprise various follow-up types such as chronic disease follow-up, special population follow-up, mental disease follow-up and the like, and the physical conditions of residents can be known through follow-up, and corresponding measures can be taken in time to prevent potential safety hazards of the residents.

In the prior art, follow-up visits are generally performed by doctors at home or by the telephone of the doctors, follow-up records and follow-up are difficult to perform by taking the follow-up form filled by the doctors as a feedback mode, and accordingly follow-up cost is high and follow-up efficiency is low. Therefore, how to improve the follow-up efficiency of the doctor for the patient and further improve the data processing efficiency is an urgent problem to be solved.

Disclosure of Invention

The embodiment of the application provides a data processing method, a data processing device, data processing equipment and a readable storage medium, which can improve the follow-up efficiency of a doctor for a patient, and further improve the data processing efficiency.

In a first aspect, the present application provides a data processing method, including:

acquiring N initial follow-up templates and follow-up items contained in each initial follow-up template;

acquiring follow-up questions corresponding to the follow-up items from a preset follow-up knowledge base, and filling the follow-up questions into the follow-up items corresponding to the initial follow-up template to obtain N follow-up templates;

acquiring a follow-up trigger event corresponding to each follow-up template, wherein the follow-up trigger event is used for indicating conditions for sending the follow-up template to a patient for follow-up answering;

and obtaining the patient state information sent by the patient end, if a target follow-up visit trigger event matched with the patient state information exists in the follow-up visit trigger events corresponding to the N follow-up visit templates, and sending the follow-up visit template corresponding to the target follow-up visit trigger event to the patient end for follow-up visit answering when the target follow-up visit trigger event is detected to occur.

In a second aspect, the present application provides a data processing apparatus comprising:

the template acquisition module is used for acquiring N initial follow-up templates and follow-up items contained in each initial follow-up template;

the template filling module is used for acquiring follow-up questions corresponding to the follow-up items from a preset follow-up knowledge base and filling the follow-up questions into the follow-up items corresponding to the initial follow-up template to obtain N follow-up templates;

the follow-up visit system comprises an event acquisition module, a follow-up visit module and a follow-up visit module, wherein the event acquisition module is used for acquiring a follow-up visit trigger event corresponding to each follow-up visit template, and the follow-up visit trigger event is used for indicating a condition for sending the follow-up visit template to a patient for follow-up visit answering;

and the template sending module is used for obtaining the patient state information sent by the patient end, and if a target follow-up visit trigger event matched with the patient state information exists in the follow-up visit trigger events corresponding to the N follow-up visit templates, sending the follow-up visit template corresponding to the target follow-up visit trigger event to the patient end for follow-up visit answering when the target follow-up visit trigger event is detected.

With reference to the second aspect, in one possible implementation manner, the follow-up trigger event includes a status event, the status event is used for indicating a template type of a follow-up template, and the patient status information is used for indicating a disease type of the patient; the template sending module is specifically configured to determine that the target follow-up trigger event is detected if a target template type matching the disease type of the patient exists in the template types of the N follow-up templates, and send a follow-up template matching the target template type in the N follow-up templates to the patient side for follow-up answering.

With reference to the second aspect, in a possible implementation manner, the follow-up trigger event includes a state event and a time event, the state event is used to indicate a template type of a follow-up template, the time event is used to indicate a time for sending the follow-up template to a patient, and the patient state information is used to indicate a disease type of the patient; the template sending module is specifically configured to determine that the target follow-up trigger event occurs if a target template type matched with the disease type of the patient exists in the template types corresponding to the N follow-up templates and the current time meets the time event, and send the follow-up template matched with the target template type in the N follow-up templates to the patient end for follow-up answering.

With reference to the second aspect, in a possible implementation manner, the data processing apparatus further includes:

and the period sending module is used for sending a marked follow-up template to the patient end for follow-up access answering based on a target period if a target follow-up trigger event matched with the patient state information does not exist in the follow-up trigger events corresponding to the N follow-up templates, wherein the marked follow-up template is one or more of the N follow-up templates.

the condition triggering module is used for acquiring identity authentication information sent by a doctor end and establishing an association relation between a doctor identifier and a patient identifier based on the identity authentication information, wherein the identity authentication information comprises the doctor identifier;

the condition triggering module is further configured to obtain an associated follow-up template selected by the doctor end for the target patient from the N follow-up templates and a follow-up triggering condition corresponding to the associated follow-up template set by the doctor end, where the follow-up triggering condition is used to indicate a time for sending the associated follow-up template to the patient end;

the condition triggering module is further configured to send the associated follow-up template to the patient side for follow-up answer based on the follow-up triggering condition corresponding to the associated follow-up template.

the follow-up evaluation module is used for acquiring a follow-up answer of the patient end aiming at a follow-up question in the target follow-up template, wherein the follow-up answer comprises a follow-up answer;

the follow-up visit evaluation module is also used for acquiring a reference follow-up visit problem matched with the follow-up visit problem in the target follow-up visit template from the preset follow-up visit knowledge base;

the follow-up evaluation module is further used for obtaining at least one reference follow-up answer corresponding to the reference follow-up question and determining a target reference follow-up answer matched with the follow-up answer in the at least one reference follow-up answer;

the follow-up assessment module is further configured to obtain a follow-up conclusion corresponding to the target reference follow-up answer, determine a follow-up assessment result based on the follow-up conclusion corresponding to the target reference follow-up answer, and send the follow-up assessment result to the patient side.

the follow-up survey module is used for acquiring an initial follow-up survey table aiming at the follow-up question and answer and sending the initial follow-up survey table to the patient end;

the follow-up survey module is also used for obtaining a target follow-up survey table returned by the patient end and adjusting the follow-up template based on the target follow-up survey table.

In a third aspect, the present application provides a computer device comprising: a processor, a memory, a network interface;

the processor is connected with a memory and a network interface, wherein the network interface is used for providing a data communication function, the memory is used for storing a computer program, and the processor is used for calling the computer program so as to enable a computer device comprising the processor to execute the data processing method.

In a fourth aspect, the present application provides a computer-readable storage medium having stored therein a computer program adapted to be loaded and executed by a processor, so as to cause a computer device having the processor to execute the above-mentioned data processing method.

In a fifth aspect, the present application provides a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the data processing method provided in the various alternatives in the first aspect of the present application.

In the embodiment of the application, N initial follow-up templates and follow-up items contained in each initial follow-up template are obtained; acquiring follow-up questions corresponding to follow-up items from a preset follow-up knowledge base, and filling the follow-up questions into the follow-up items corresponding to the initial follow-up templates to obtain N follow-up templates; acquiring a follow-up trigger event corresponding to each follow-up template; and obtaining the patient state information sent by the patient end, if a target follow-up visit trigger event matched with the patient state information exists in the follow-up visit trigger events corresponding to the N follow-up visit templates, sending the follow-up visit template corresponding to the target follow-up visit trigger event to the patient end for follow-up visit answering when the target follow-up visit trigger event is detected. By developing a set of follow-up platform, a plurality of follow-up templates and follow-up trigger events corresponding to each follow-up template can be set in the follow-up platform, and the follow-up trigger events can refer to conditions for sending the follow-up templates to a patient. The follow-up platform can automatically acquire the initial follow-up template, and select the follow-up problems corresponding to the follow-up items contained in the initial follow-up template from the preset follow-up knowledge base to fill, so as to obtain the follow-up template, manual setting of the follow-up template and selection of the follow-up problems contained in the follow-up template are not needed, and the generation efficiency of the follow-up template can be improved. When a follow-up visit triggering event is detected, the follow-up visit platform can automatically send the corresponding follow-up visit template to the patient end for follow-up visit answering, manual intervention is not needed, the patient end can directly log in the follow-up visit platform for follow-up visit answering, a doctor does not need to visit at home or call for each patient, follow-up visit efficiency can be improved, and follow-up visit cost is saved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

FIG. 1 is a block diagram of a data processing system according to an embodiment of the present application;

fig. 2 is a schematic flowchart of a data processing method according to an embodiment of the present application;

FIG. 3 is a schematic flow chart diagram of another data processing method provided in the embodiments of the present application;

fig. 4 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The artificial intelligence technology is a comprehensive subject and relates to the field of extensive technology, namely the technology of a hardware level and the technology of a software level. The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like.

The application relates to distributed storage and big data processing technology in artificial intelligence, which can obtain N initial follow-up templates and follow-up items contained in each initial follow-up template by using the big data processing technology; and acquiring follow-up questions corresponding to the follow-up items from a preset follow-up knowledge base, and filling the follow-up questions into the follow-up items corresponding to the initial follow-up templates to obtain N follow-up templates. Optionally, the N follow-up templates may be stored in a distributed storage manner, so as to perform follow-up answers with subsequent patient terminals. Further, a big data processing technology can be utilized to obtain a follow-up trigger event corresponding to each follow-up template in the N follow-up templates; and obtaining the patient state information sent by the patient end, if a target follow-up visit trigger event matched with the patient state information exists in the follow-up visit trigger events corresponding to the N follow-up visit templates, and sending the follow-up visit template corresponding to the target follow-up visit trigger event to the patient end for follow-up visit answering when the target follow-up visit trigger event is detected to occur. By adopting the artificial intelligence mode to automatically generate a plurality of follow-up templates for storage, follow-up patient terminals can conveniently carry out follow-up answer according to the follow-up templates, and therefore follow-up efficiency is improved. Optionally, the doctor end may also select a follow-up template for the associated patient end, which may improve the management efficiency of the patient end, and further improve the data processing efficiency. The application can be suitable for the fields of intelligent medical treatment, intelligent diagnosis and the like, and is favorable for promoting the construction of a smart city.

Referring to fig. 1, fig. 1 is a network architecture diagram of a data processing system according to an embodiment of the present disclosure, as shown in fig. 1, the network architecture diagram includes a data processing server 101 corresponding to a follow-up platform, where the follow-up platform may be a medical platform, a patient end 102 and a doctor end 103, where the data processing server 101 corresponding to the follow-up platform may perform data interaction with the patient end 102 and the doctor end 103, and the number of the patient end and the doctor end may be one or more. Specifically, the data processing server 101 corresponding to the follow-up platform may obtain N initial follow-up templates and the follow-up items included in each initial follow-up template. Further, the data processing server 101 corresponding to the follow-up platform may obtain the follow-up questions corresponding to the follow-up items from a preset follow-up knowledge base, and fill the follow-up questions into the corresponding follow-up items to obtain N follow-up templates. Further, the data processing server 101 corresponding to the follow-up platform may obtain a follow-up trigger event corresponding to each of the N follow-up templates and obtain the patient state information sent by the patient end 102, and if a target follow-up trigger event matching the patient state information exists in the follow-up trigger events corresponding to the N follow-up templates, send the follow-up template corresponding to the target follow-up trigger event to the patient end for follow-up answering when the target follow-up trigger event is detected to occur. Optionally, the data processing server 101 corresponding to the follow-up platform may further receive identity authentication information sent by the doctor end 103, so as to obtain the patient end 102 associated with the doctor end 103, which is convenient for the doctor end 103 to correspondingly manage the patient end 102.

By automatically generating the follow-up template, when the patient state information is matched with the follow-up trigger event of the follow-up template and the target follow-up trigger event is detected, the corresponding follow-up template can be sent to the patient end for follow-up answer.

It can be understood that the data processing server 101 corresponding to the access platform mentioned in this embodiment of the present application may be an independent physical server, may also be a server cluster or a distributed system formed by a plurality of physical servers, and may also be a cloud server that provides basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a Network service, cloud communication, a middleware service, a domain name service, a security service, a Content Delivery Network (CDN), and a big data and artificial intelligence platform. The patient end 102 and the doctor end 103 may be an electronic Device, including but not limited to a Mobile phone, a tablet computer, a desktop computer, a notebook computer, a palm computer, a vehicle-mounted Device, an Augmented Reality/Virtual Reality (AR/VR) Device, a helmet display, a wearable Device, a smart speaker, a digital camera, a camera, and other Mobile Internet Devices (MID) with network access capability.

Further, please refer to fig. 2, fig. 2 is a schematic flowchart of a data processing method provided in an embodiment of the present application, and the data processing method may be applied to a follow-up platform. As shown in fig. 2, the data processing method includes, but is not limited to, the following steps:

s101, obtaining N initial follow-up templates and follow-up items contained in each initial follow-up template.

In the embodiment of the present application, the follow-up visit may refer to an observation method that a hospital communicates or otherwise performs a regular understanding of the change of the patient's condition and guides the patient to recover to a patient who has been in a visit or who is in a focus of the hospital. Specifically, the follow-up platform may obtain N initial follow-up templates, and a follow-up item included in each of the N initial follow-up templates, where N is a positive integer.

In the embodiment of the present application, the initial follow-up template is equivalent to a frame, and may be, for example, an empty template or a default template, the initial follow-up template needs to be filled with a follow-up question, so as to obtain a filled follow-up template, and the filled follow-up template may be subsequently sent to a patient side for follow-up answering. Wherein the N initial follow-up templates may be used to indicate follow-up templates corresponding to different disease types. For example, the N initial follow-up templates may include an initial post-operation follow-up template, an initial mental disease follow-up template, an initial chronic disease follow-up template, and an initial special population follow-up template, etc. Alternatively, the initial chronic disease follow-up template may also include an initial hypertension follow-up template, an initial diabetes follow-up template, and an initial rheumatoid arthritis follow-up template, among others. The initial psychiatric disease follow-up template may include an initial obsessive compulsive disorder follow-up template, an initial social phobia follow-up template, and an initial insomnia follow-up template, among others. Each initial follow-up template may include the same follow-up items or may include different follow-up items, for example, 10 follow-up items may be included for the initial post-operation follow-up template, 15 follow-up items may be included for the initial chronic disease follow-up template, and the follow-up items may be specifically set according to different needs.

S102, obtaining follow-up questions corresponding to follow-up items from a preset follow-up knowledge base, and filling the follow-up questions into the follow-up items corresponding to the initial follow-up templates to obtain N follow-up templates.

In the embodiment of the application, the follow-up platform can obtain the follow-up questions corresponding to the follow-up items included in each of the N initial follow-up templates from a preset follow-up knowledge base, fill each follow-up question into the follow-up item corresponding to the follow-up question to obtain the filled initial follow-up template, and determine the filled initial follow-up template as the follow-up template, so as to obtain the N follow-up templates. The preset follow-up knowledge base can include a plurality of follow-up questions, such as questions related to chronic diseases, postoperative recovery, mental diseases and special population, and the like. The follow-up knowledge base can be constructed according to historical follow-up problems, and can also be obtained by recording problems corresponding to various diseases.

Specifically, when the follow-up problem is filled into the follow-up item corresponding to the initial follow-up template, the follow-up platform may obtain the disease type indicated by each initial follow-up template; further, the follow-up platform may obtain the follow-up questions associated with the disease type indicated by the initial follow-up template from a preset follow-up knowledge base, and select the follow-up questions corresponding to the follow-up items included in the initial follow-up template from the follow-up questions associated with the disease type indicated by the initial follow-up template, so as to fill the selected follow-up questions into the follow-up items corresponding to the initial follow-up template, thereby obtaining the follow-up template.

For example, if the disease type indicated by the initial follow-up template is a chronic disease, the follow-up platform may obtain the follow-up questions associated with the chronic disease from a preset follow-up knowledge base, select the follow-up questions corresponding to the follow-up items included in the initial follow-up template from the follow-up questions associated with the chronic disease, and fill the selected follow-up questions into the follow-up items included in the initial follow-up template to obtain the follow-up template. It can be understood that the initial postoperative follow-up template is filled to obtain a postoperative follow-up template, the initial mental disease follow-up template is filled to obtain a mental disease follow-up template, the initial chronic disease follow-up template is filled to obtain a chronic disease follow-up template, the initial special population follow-up template is filled to obtain a special population follow-up template, and the like.

S103, acquiring the follow-up trigger event corresponding to each follow-up template.

In an embodiment of the application, the follow-up platform may obtain a follow-up trigger event corresponding to each of the N follow-up templates, where the follow-up trigger event is used to indicate a condition for sending the follow-up template to the patient for follow-up answering. That is to say, when the follow-up platform obtains the follow-up trigger event corresponding to each of the N follow-up templates, that is, obtains the condition for sending the follow-up template to the patient for follow-up access answering, and subsequently detects that the follow-up trigger event occurs, the corresponding follow-up template is sent to the patient for follow-up access answering.

And S104, acquiring the patient state information sent by the patient side, and if a target follow-up visit trigger event matched with the patient state information exists in the follow-up visit trigger events corresponding to the N follow-up visit templates, sending the follow-up visit template corresponding to the target follow-up visit trigger event to the patient side for follow-up visit answering when the target follow-up visit trigger event is detected.

In the embodiment of the application, the patient side may refer to a terminal used by a patient, the patient may log in the follow-up platform on the patient side, after logging in the follow-up platform, the patient side may send patient state information to the follow-up platform, and then the follow-up platform obtains the patient state information sent by the patient side. Optionally, the follow-up platform may obtain the patient state information from an account associated with the patient end, for example, the account may be registered when the patient end logs in the follow-up platform for the first time, and a disease tag of the patient may be set after the account is logged in, and then the follow-up platform may obtain the disease tag set by the patient end, so as to determine the patient state information according to the disease tag. Optionally, the follow-up platform may also obtain a historical search record of the patient on the follow-up platform, and determine the patient state information according to the historical search record of the patient. The patient status information may be medical data of the patient, such as personal health record, prescription, examination report, etc. of the patient.

Further, because the follow-up trigger events corresponding to the N follow-up templates are obtained in the foregoing steps, when the patient state information is obtained, matching may be performed based on the patient state information and the follow-up trigger events corresponding to the N follow-up templates, and if a target follow-up trigger event matching the patient state information exists in the follow-up trigger events corresponding to the N follow-up templates, when it is detected that the target follow-up trigger event occurs, the follow-up template corresponding to the target follow-up trigger event is sent to the patient side for follow-up answering.

In a possible implementation manner, the follow-up trigger event includes a state event, where the state event is used to indicate a template type of a follow-up template, that is, which disease type the follow-up template is, and the patient state information is used to indicate a disease type of a patient, and then the method for the follow-up platform to send the follow-up template to the patient side for follow-up answer includes: and if the target template type matched with the disease type of the patient exists in the template types of the N follow-up templates, determining that a target follow-up trigger event occurs, and sending the follow-up template matched with the target template type in the N follow-up templates to the patient side for follow-up answering.

Specifically, when the follow-up platform acquires the patient status information, the disease type of the patient may be determined based on the patient status information, and the patient status information may also include a disease type that is of greater interest to the patient. If the disease type is matched with a target template type in the N follow-up templates, for example, the disease type of the patient is chronic disease, and a chronic disease follow-up template exists in the N follow-up templates, it indicates that the patient state information is matched with the target follow-up trigger event, and the follow-up template corresponding to the target follow-up trigger event is sent to the patient end for follow-up answering. The target follow-up visit trigger event refers to a follow-up visit trigger event corresponding to the target follow-up visit template, and the template type of the target follow-up visit template is the target template type. That is, when it is detected that the disease type of the patient matches the target template type in the N follow-up templates, it indicates that a target follow-up trigger event occurs, and the follow-up template with the matched target template type is sent to the patient side for follow-up answering.

In another possible implementation manner, the follow-up trigger event includes a state event and a time event, the state event is used to indicate a template type of the follow-up template, the time event is used to indicate a time for sending the follow-up template to the patient, and the patient state information is used to indicate a disease type of the patient, and then the method for sending the follow-up template to the patient by the follow-up platform to perform the follow-up answer includes: if the target template type matched with the disease type of the patient exists in the template types corresponding to the N follow-up templates and the current time meets the time event, determining that the target follow-up trigger event occurs, and sending the follow-up template matched with the target template type in the N follow-up templates to the patient end for follow-up answering.

Specifically, when the follow-up platform acquires the patient status information, the disease type of the patient may be determined based on the patient status information, and the patient status information may also include a disease type that is of greater interest to the patient. If the disease type is matched with a target template type in the N follow-up templates, for example, the disease type of the patient is chronic disease, a chronic disease follow-up template exists in the N follow-up templates, and the current time meets a time event, namely the current time meets the time for sending the follow-up template to the patient end, the condition information of the patient is matched with the target follow-up trigger event, and the follow-up template corresponding to the target follow-up trigger event is sent to the patient end for follow-up answering. The target follow-up visit trigger event refers to a follow-up visit trigger event corresponding to the target follow-up visit template, and the template type of the target follow-up visit template is the target template type. That is, when it is detected that the disease type of the patient matches a target template type of the N follow-up templates and the current time satisfies the time for transmitting the follow-up template matching the target template type to the patient side, it indicates that a target follow-up trigger event occurs, and transmits the follow-up template matching the target template type to the patient side for follow-up answering.

Optionally, if there is no target follow-up trigger event matching with the patient state information in the follow-up trigger events corresponding to the N follow-up templates, the follow-up platform may send a tag follow-up template to the patient end for follow-up answering based on a target period, where the tag follow-up template is one or more of the N follow-up templates.

That is, if there is no target follow-up trigger event matching with the patient state information in the follow-up trigger events corresponding to the N follow-up templates, that is, the disease type of the patient does not match with the template types of the N follow-up templates, for example, the disease type of the patient is an uncommon disease type, and the template types of the N follow-up templates do not match with the uncommon disease type, the follow-up platform may send the tagged follow-up template to the patient end for follow-up answering based on the target period. The label follow-up template can refer to some common disease follow-up templates, namely some diseases possibly existing in many patients, such as a spondylopathy follow-up template, an arthritis follow-up template and the like. That is, if the disease type of the patient does not match the template types of the N follow-up templates, the follow-up platform may send some common disease follow-up templates to the patient end, so that the patient may perform follow-up answer. Optionally, the follow-up platform may further set a follow-up trigger event corresponding to the marked follow-up template, where the follow-up trigger event corresponding to the marked follow-up template may be a time event, that is, one or more of the marked follow-up templates are sent to the patient end for follow-up answering every target period (e.g., once a year, once a month, or once a week).

Optionally, if the follow-up platform detects that the patient side is the first-time login follow-up platform or that the patient side is a non-first-time login follow-up platform, but a disease tag of the patient is not set on the follow-up platform, and history search is not performed, that is, the follow-up platform cannot acquire the state information of the patient, the follow-up platform may send the tagged follow-up template to the patient side for follow-up answering based on the target period. That is, if the follow-up platform does not obtain the patient status information, i.e. the disease type of the patient cannot be determined, some common follow-up templates may be sent to the patient end at intervals of the target period for follow-up response. Optionally, after the patient end performs the follow-up answer, the follow-up platform may determine the state information of the patient end according to the follow-up evaluation result of the patient end, for example, the follow-up evaluation result indicates that the patient has a certain disease, or the probability that the patient has a certain disease is high, the type of the disease may be determined as the state information of the patient, which is convenient for performing targeted follow-up template push on the patient end subsequently, and improves the follow-up efficiency.

Optionally, please refer to fig. 3, where fig. 3 is a schematic flow chart of another data processing method provided in the embodiment of the present application. The data processing method integrally describes the processing processes of a follow-up platform, a patient end and a doctor end; as shown in fig. 3, the data processing method includes, but is not limited to, the following steps:

s201, the follow-up platform obtains N initial follow-up templates and follow-up items contained in each initial follow-up template.

S202, the follow-up visit platform obtains follow-up visit questions corresponding to follow-up visit items from a preset follow-up visit knowledge base, and fills the follow-up visit questions into the follow-up visit items corresponding to the initial follow-up visit template to obtain N follow-up visit templates.

S203, the follow-up platform acquires the follow-up trigger event corresponding to each follow-up template.

And S204, the patient end sends the patient state information to a follow-up platform.

S205, if the target follow-up visit trigger event matched with the patient state information exists in the follow-up visit trigger events corresponding to the N follow-up visit templates, when the target follow-up visit trigger event is detected, the follow-up visit platform sends the follow-up visit template corresponding to the target follow-up visit trigger event to the patient end for follow-up visit answering.

In this embodiment of the application, specific implementation manners of step S201 to step S205 may refer to specific implementation manners of step S101 to step S104 in fig. 2, and are not described herein again.

And S206, the doctor end sends the identity authentication information to the follow-up platform.

The doctor end can be a terminal used by a doctor, and the doctor can log in the follow-up platform at the doctor end and send identity authentication information to the follow-up platform for identity authentication.

And S207, the follow-up platform establishes an association relation between the doctor identification and the patient identification based on the identity authentication information.

Optionally, the identity authentication information may include information such as a doctor identifier, a patient identifier associated with the doctor identifier, and the like, and the follow-up platform may establish an association relationship between the doctor identifier and the patient identifier according to the doctor identifier and the patient identifier associated with the doctor identifier. That is to say, the doctor end may upload or select the patient identifier that the doctor has treated or is managed by the doctor in the follow-up platform, and after receiving the patient identifier sent by the doctor end, the follow-up platform establishes the association relationship between the doctor identifier and the patient identifier. The doctor identification may include a doctor name, a doctor job number, and the like, which are used to uniquely indicate the doctor, and the patient identification may include a patient name, a patient number, and the like, which are used to uniquely indicate the patient.

And S208, the doctor end selects an associated follow-up template from the N follow-up templates aiming at the target patient, sets a follow-up triggering condition corresponding to the associated follow-up template, and sends the associated follow-up template and the follow-up triggering condition corresponding to the associated follow-up template to a follow-up platform.

In the embodiment of the present application, the follow-up visit triggering condition is used to indicate a time for sending the associated follow-up visit template to the patient end, and since the patient may refer to a patient that the doctor has treated or is managed by the doctor, the doctor end may select the associated follow-up visit template for the target patient according to the diseased condition of the patient, one patient may correspond to a plurality of associated follow-up visit templates, for example, the patient may have a plurality of diseases, and the target patient may refer to any one patient associated with the doctor.

Further, the doctor end may further set a follow-up triggering condition corresponding to each associated follow-up template, where the follow-up triggering condition of each associated follow-up template may be different, and may be specifically set according to the disease type indicated by each associated follow-up template. After the doctor end sets the follow-up triggering conditions corresponding to each associated follow-up template, the associated follow-up templates and the follow-up triggering conditions corresponding to the associated follow-up templates can be sent to the follow-up platform to be stored.

S209, the follow-up platform sends the associated follow-up template to the patient end for follow-up answer based on the follow-up trigger condition corresponding to the associated follow-up template.

In the embodiment of the application, when the follow-up platform detects that a follow-up trigger condition corresponding to the associated follow-up template occurs, that is, when the current time meets the time for sending the associated follow-up template to the patient end, the associated follow-up template is sent to the patient end corresponding to the target patient for follow-up answering. For example, the target patient is a postoperative patient, the follow-up trigger conditions of the associated follow-up template are the third day after discharge, the follow-up every week in the latter half of discharge, and the like. And after the follow-up platform saves the follow-up trigger condition corresponding to the associated follow-up template, the associated follow-up template is sent to the patient end for follow-up answer every week on the third day after the patient is discharged and in the latter half of the discharge.

S210, the follow-up platform obtains the follow-up answer sent by the patient end, generates a follow-up evaluation result according to the follow-up answer of the patient end, and sends the follow-up evaluation result to the patient end.

In the embodiment of the application, the follow-up platform can obtain a reference follow-up answer matched with the follow-up answer from a preset follow-up knowledge base according to the follow-up answer of the patient side, and generate a follow-up evaluation result according to a follow-up conclusion of the reference follow-up answer in the preset follow-up knowledge base. Specifically, the follow-up platform may obtain a follow-up answer of the patient end for a follow-up question in the target follow-up template, wherein the follow-up answer includes the follow-up answer; acquiring a reference follow-up problem matched with the follow-up problem in the target follow-up template from a preset follow-up knowledge base; obtaining at least one reference follow-up answer corresponding to the reference follow-up question, and determining a target reference follow-up answer matched with the follow-up answer in the at least one reference follow-up answer; and obtaining a follow-up conclusion corresponding to the target reference follow-up answer, determining a follow-up evaluation result based on the follow-up conclusion corresponding to the target reference follow-up answer, and sending the follow-up evaluation result to the patient side.

Each reference follow-up question in a preset follow-up knowledge base corresponds to at least one reference follow-up answer, and each reference follow-up answer corresponds to one follow-up conclusion. For example, the reference follow-up question is "whether you are excessive in sugar intake today", the corresponding reference follow-up answers include "yes" and "no", "yes" corresponds to follow-up conclusion 1, no "corresponds to follow-up conclusion 2, and follow-up conclusion 1 is different from follow-up conclusion 2. That is, there may be multiple reference follow-up answers for each reference follow-up question, with one follow-up conclusion for each reference follow-up answer.

For example, the target follow-up template is a diabetes follow-up template, the diabetes follow-up template includes 10 follow-up questions, the follow-up answers of the patient side include follow-up answers to the 10 follow-up questions, the follow-up platform may obtain 10 reference follow-up questions matched with the 10 follow-up questions in the diabetes follow-up template from a preset follow-up knowledge base, one follow-up question corresponds to one reference follow-up question, determine the target reference follow-up answer matched with each of the 10 follow-up answers, obtain 10 target reference follow-up answers, respectively obtain the follow-up conclusions corresponding to the 10 target reference follow-up answers, determine the follow-up evaluation result according to the follow-up conclusions corresponding to the 10 target reference follow-up answers, and send the follow-up evaluation result to the patient side.

That is to say, after the follow-up answer sent by the patient end is obtained, the follow-up platform can automatically obtain the follow-up conclusion matched with the follow-up answer from the preset follow-up knowledge base, so that the final follow-up evaluation result is determined according to the follow-up conclusion, a doctor does not need to perform follow-up evaluation according to the follow-up answer of the patient end, manual participation is not needed in the whole process, and the efficiency of follow-up evaluation can be improved.

Optionally, the follow-up platform may further send the follow-up evaluation result to the doctor end, so that the doctor end further knows the physical condition of the patient according to the follow-up evaluation result, for example, medication guidance or health care product recommendation may be performed according to the physical condition of the patient, and the like. Optionally, the doctor end may further determine the follow-up assessment result according to the follow-up answer of the patient end, and if it is determined that the follow-up assessment result is not accurate, the follow-up assessment may be adjusted in a targeted manner, so as to improve the accuracy of the follow-up assessment.

S211, the follow-up platform obtains an initial follow-up questionnaire aiming at the follow-up answers and sends the initial follow-up questionnaire to the patient side.

Optionally, the follow-up platform may further obtain an initial follow-up table for the follow-up answer, the initial follow-up table may be pre-stored in the follow-up platform, and each follow-up template may correspond to a different initial follow-up table, that is, the side points of each follow-up template may have differences, and the initial follow-up table corresponding to each follow-up template may be different. If the initial follow-up questionnaires corresponding to each follow-up template are different, the follow-up platform can determine the follow-up template corresponding to the follow-up answer and send the initial follow-up questionnaires corresponding to the follow-up template to the patient end for filling. The initial follow-up questionnaire may be a blank form or a default form that needs to be filled in by the patient.

S212, the patient end fills in the initial follow-up questionnaire to obtain a target follow-up questionnaire, and the target follow-up questionnaire is sent to the follow-up platform.

S213, the follow-up platform adjusts the follow-up template based on the target follow-up questionnaire.

The follow-up platform can obtain the follow-up score and follow-up opinion of the patient end aiming at the follow-up answer after receiving the target follow-up questionnaire sent by the patient end, and adjusts and perfects a related follow-up template based on the follow-up score and the follow-up opinion, so that the follow-up accuracy is improved, and the user experience is further improved.

Optionally, the doctor end may also select an intelligent follow-up visit or a voice follow-up visit to follow-up the visit, the intelligent follow-up visit is to send the follow-up visit template to the patient end to answer the follow-up visit, and the voice follow-up visit may refer to a doctor answering the follow-up visit to the patient by telephone. For example, for some special patients, such as the patient does not know the character, or the patient is not familiar with the use of the intelligent terminal, the doctor end can select a voice follow-up mode for follow-up, so that the follow-up flexibility is improved.

Optionally, the manner of the patient side performing the follow-up answer in the embodiment of the present application may include a text follow-up manner, a voice follow-up manner, or another follow-up manner, and the patient side may select the text follow-up manner, the voice follow-up manner, or another follow-up manner to perform the follow-up. If the patient side selects a text follow-up mode for follow-up, the follow-up template can be sent to the patient side, and the patient side carries out follow-up answer through a mode of inputting characters or selecting characters. If the patient end selects a voice follow-up mode for follow-up, the follow-up template can be sent to the patient end, and the patient end carries out follow-up answer through a voice input mode. Further, when receiving the voice follow-up answer sent by the client, the follow-up platform may identify the voice follow-up answer by using a voice recognition technology, so as to obtain a corresponding text, thereby determining a follow-up evaluation result based on the text.

In the embodiment of the application, by developing a set of follow-up platform, a plurality of follow-up templates and follow-up trigger events corresponding to each follow-up template can be set in the follow-up platform, and the follow-up trigger events can refer to conditions for sending the follow-up templates to a patient. The follow-up platform can automatically acquire the initial follow-up template, and select the follow-up problems corresponding to the follow-up items contained in the initial follow-up template from the preset follow-up knowledge base to fill, so as to obtain the follow-up template, manual setting of the follow-up template and selection of the follow-up problems contained in the follow-up template are not needed, and the generation efficiency of the follow-up template can be improved. When a follow-up visit triggering event is detected, the follow-up visit platform can automatically send the corresponding follow-up visit template to the patient end for follow-up visit answering, manual intervention is not needed, the patient end can directly log in the follow-up visit platform for follow-up visit answering, a doctor does not need to visit at home or call for each patient, follow-up visit efficiency can be improved, and follow-up visit cost is saved. Further, the doctor end can log in the follow-up platform to select the associated follow-up template corresponding to the associated patient and set the follow-up triggering condition of the associated follow-up template, and the doctor end knows the disease condition of the patient, so that the associated follow-up template is sent to the patient end to perform follow-up answer, and the physical condition of the patient can be acquired more accurately. Moreover, the doctor end can set the follow-up triggering condition of the associated follow-up template for each patient according to the physical condition of the patient, for example, the associated follow-up template is sent to the patient end for follow-up answering every week or month according to the physical condition of the patient, so that the accuracy of follow-up evaluation can be further improved. In addition, the patient side can evaluate the follow-up visit answer, so that the follow-up visit platform can conveniently adjust and perfect the follow-up visit template, the follow-up visit accuracy is improved, and the user experience is improved.

The method of the embodiments of the present application is described above, and the apparatus of the embodiments of the present application is described below.

Referring to fig. 4, fig. 4 is a schematic diagram of a component structure of a data processing apparatus provided in an embodiment of the present application, where the data processing apparatus may be a computer program (including program code) running in a computer device, for example, the data processing apparatus is an application software; the data processing device can be used for executing corresponding steps in the data processing method provided by the embodiment of the application. The data processing apparatus 40 includes:

a template obtaining module 41, configured to obtain N initial follow-up templates and a follow-up item included in each initial follow-up template;

the template filling module 42 is configured to obtain a follow-up question corresponding to the follow-up item from a preset follow-up knowledge base, and fill the follow-up question into the follow-up item corresponding to the initial follow-up template to obtain N follow-up templates;

an event obtaining module 43, configured to obtain a follow-up trigger event corresponding to each follow-up template, where the follow-up trigger event is used to indicate a condition for sending the follow-up template to the patient for follow-up answering;

the template sending module 44 is configured to obtain patient state information sent by a patient side, and if a target follow-up trigger event matching the patient state information exists in the follow-up trigger events corresponding to the N follow-up templates, send the follow-up template corresponding to the target follow-up trigger event to the patient side for follow-up answer when the target follow-up trigger event is detected to occur.

Optionally, the follow-up trigger event comprises a status event indicating a template type of a follow-up template, the patient status information indicating a disease type of the patient; the template sending module 44 is specifically configured to determine that the target follow-up trigger event is detected if a target template type matching the disease type of the patient exists in the template types of the N follow-up templates, and send a follow-up template matching the target template type in the N follow-up templates to the patient side for response.

Optionally, the follow-up trigger event includes a status event and a time event, the status event is used for indicating the template type of the follow-up template, the time event is used for indicating the time for sending the follow-up template to the patient end, and the patient status information is used for indicating the disease type of the patient; the template sending module 44 is specifically configured to determine that the target follow-up trigger event is detected if a target template type matching the disease type of the patient exists in the template types corresponding to the N follow-up templates and the current time meets the time event, and send the follow-up template matching the target template type in the N follow-up templates to the patient end for follow-up answering.

Optionally, the data processing apparatus 40 further includes:

and a period sending module 45, configured to send a marked follow-up template to the patient end for follow-up response based on a target period if there is no target follow-up trigger event matching with the patient state information in the follow-up trigger events corresponding to the N follow-up templates, where the marked follow-up template is one or more of the N follow-up templates.

Optionally, the data processing apparatus 40 further includes:

the condition triggering module 46 is configured to obtain identity authentication information sent by a doctor end, and establish an association relationship between a doctor identifier and a patient identifier based on the identity authentication information, where the identity authentication information includes the doctor identifier;

the condition triggering module 46 is further configured to obtain an associated follow-up template selected by the doctor end for the target patient from the N follow-up templates and a follow-up triggering condition corresponding to the associated follow-up template set by the doctor end, where the follow-up triggering condition is used to indicate a time for sending the associated follow-up template to the patient end;

the condition triggering module 46 is further configured to send the associated follow-up template to the patient side for follow-up response based on the follow-up triggering condition corresponding to the associated follow-up template.

Optionally, the data processing apparatus 40 further includes:

a follow-up evaluation module 47, configured to obtain a follow-up answer of the patient to a follow-up question in a target follow-up template, where the follow-up answer includes a follow-up answer;

the follow-up visit evaluation module 47 is further configured to obtain a reference follow-up visit question matched with the follow-up visit question in the target follow-up visit template from the preset follow-up visit knowledge base;

the follow-up evaluation module 47 is further configured to obtain at least one reference follow-up answer corresponding to the reference follow-up question, and determine a target reference follow-up answer matched with the follow-up answer in the at least one reference follow-up answer;

the follow-up assessment module 47 is further configured to obtain a follow-up conclusion corresponding to the target reference follow-up answer, determine the follow-up assessment result based on the follow-up conclusion corresponding to the target reference follow-up answer, and send the follow-up assessment result to the patient side.

Optionally, the data processing apparatus 40 further includes:

a follow-up survey module 48, configured to obtain an initial follow-up survey table for the follow-up question and send the initial follow-up survey table to the patient;

the follow-up survey module 48 is further configured to obtain a target follow-up questionnaire returned by the patient side, and adjust the follow-up template based on the target follow-up questionnaire.

It should be noted that, for the content that is not mentioned in the embodiment corresponding to fig. 4, reference may be made to the description of the method embodiment, and details are not described here again.

In the embodiment of the application, by developing a set of follow-up platform, a plurality of follow-up templates and follow-up trigger events corresponding to each follow-up template can be set in the follow-up platform, and the follow-up trigger events can refer to conditions for sending the follow-up templates to a patient. The follow-up platform can automatically acquire the initial follow-up template, and select the follow-up problems corresponding to the follow-up items contained in the initial follow-up template from the preset follow-up knowledge base to fill, so as to obtain the follow-up template, manual setting of the follow-up template and selection of the follow-up problems contained in the follow-up template are not needed, and the generation efficiency of the follow-up template can be improved. When a follow-up visit triggering event is detected, the follow-up visit platform can automatically send the corresponding follow-up visit template to the patient end for follow-up visit answering, manual intervention is not needed, the patient end can directly log in the follow-up visit platform for follow-up visit answering, a doctor does not need to visit at home or call for each patient, follow-up visit efficiency can be improved, and follow-up visit cost is saved. Furthermore, the doctor end can log in the follow-up platform to select the associated follow-up template corresponding to the associated patient and set the follow-up trigger condition of the associated follow-up template, and the doctor end knows the disease condition of the patient, so that the doctor end sends the associated follow-up template to the patient end to perform follow-up answer, and the physical condition of the patient can be accurately obtained. In addition, the doctor end can set follow-up visit triggering conditions of the associated follow-up visit template for each patient according to the physical condition of the patient, and the accuracy of follow-up visit evaluation can be further improved. In addition, the patient side can evaluate the follow-up visit answer, so that the follow-up visit platform can conveniently adjust and perfect the follow-up visit template, the follow-up visit accuracy is improved, and the user experience is improved.

Referring to fig. 5, fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present disclosure. As shown in fig. 5, the computer device 50 may include: the processor 501, the network interface 504 and the memory 505, and the computer device 50 may further include: a user interface 503, and at least one communication bus 502. Wherein a communication bus 502 is used to enable connective communication between these components. The user interface 503 may include a Display screen (Display) and a Keyboard (Keyboard), and the optional user interface 503 may also include a standard wired interface and a standard wireless interface. The network interface 504 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 505 may be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. The memory 505 may alternatively be at least one memory device located remotely from the processor 501. As shown in fig. 5, the memory 505, which is a kind of computer-readable storage medium, may include therein an operating system, a network communication module, a user interface module, and a device control application program.

In the computer device 50 shown in fig. 5, the network interface 504 may provide network communication functions; while the user interface 503 is primarily an interface for providing input to a user; and processor 501 may be used to invoke a device control application stored in memory 505 to implement:

It should be understood that the computer device 50 described in this embodiment may perform the description of the data processing method in the embodiment corresponding to fig. 2 and fig. 3, and may also perform the description of the data processing apparatus in the embodiment corresponding to fig. 4, which is not described herein again. In addition, the beneficial effects of the same method are not described in detail.

Embodiments of the present application also provide a computer-readable storage medium storing a computer program, the computer program comprising program instructions, which, when executed by a computer, cause the computer to perform the method according to the foregoing embodiments, and the computer may be a part of the above-mentioned computer device. Such as processor 501 described above. By way of example, the program instructions may be executed on one computer device, or on multiple computer devices located at one site, or distributed across multiple sites and interconnected by a communication network, which may comprise a blockchain network.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.

The above disclosure is only for the purpose of illustrating the preferred embodiments of the present application and is not to be construed as limiting the scope of the present application, so that the present application is not limited thereto, and all equivalent variations and modifications can be made to the present application.

Claims

1. A data processing method, comprising:

obtaining follow-up questions corresponding to the follow-up items from a preset follow-up knowledge base, and filling the follow-up questions into the follow-up items corresponding to the initial follow-up templates to obtain N follow-up templates;

acquiring a follow-up trigger event corresponding to each follow-up template, wherein the follow-up trigger event is used for indicating a condition for sending the follow-up template to a patient for follow-up answering;

and obtaining the patient state information sent by a patient end, if a target follow-up visit trigger event matched with the patient state information exists in the follow-up visit trigger events corresponding to the N follow-up visit templates, and sending the follow-up visit template corresponding to the target follow-up visit trigger event to the patient end for follow-up visit answering when the target follow-up visit trigger event is detected to occur.

2. The method of claim 1, wherein the follow-up trigger event comprises a status event indicating a template type of a follow-up template, and the patient status information indicates a disease type of the patient;

if a target follow-up trigger event matched with the patient state information exists in the follow-up trigger events corresponding to the N follow-up templates, when the target follow-up trigger event is detected to occur, the following-up template corresponding to the target follow-up trigger event is sent to the patient end for follow-up answer, and the following steps are as follows:

if the target template type matched with the disease type of the patient exists in the template types of the N follow-up templates, determining that the target follow-up trigger event occurs, and sending the follow-up template matched with the target template type in the N follow-up templates to the patient end for follow-up answering.

3. The method of claim 1, wherein the follow-up trigger event comprises a status event and a time event, the status event is used for indicating a template type of a follow-up template, the time event is used for indicating a time for sending the follow-up template to a patient, and the patient status information is used for indicating a disease type of the patient;

if a target template type matched with the disease type of the patient exists in the template types of the N follow-up templates and the current time meets the time event, determining that the target follow-up trigger event occurs, and sending the follow-up template matched with the target template type in the N follow-up templates to the patient end for follow-up answering.

4. The method of claim 1, further comprising:

if the target follow-up trigger event matched with the patient state information does not exist in the follow-up trigger events corresponding to the N follow-up templates, sending a marked follow-up template to the patient end for follow-up answer based on a target period, wherein the marked follow-up template is one or more of the N follow-up templates.

5. The method according to any one of claims 1-4, further comprising:

acquiring identity authentication information sent by a doctor end, and establishing an association relation between a doctor identifier and a patient identifier based on the identity authentication information, wherein the identity authentication information comprises the doctor identifier;

acquiring an associated follow-up visit template selected by the doctor end from the N follow-up visit templates aiming at a target patient and a follow-up visit triggering condition corresponding to the associated follow-up visit template set by the doctor end, wherein the follow-up visit triggering condition is used for indicating the time for sending the associated follow-up visit template to the patient end;

and sending the associated follow-up visit template to the patient side for follow-up visit answering based on a follow-up visit triggering condition corresponding to the associated follow-up visit template.

6. The method according to any one of claims 1-4, further comprising:

obtaining a follow-up answer of the patient end aiming at a follow-up question in a target follow-up template, wherein the follow-up answer comprises a follow-up answer;

acquiring a reference follow-up visit question matched with the follow-up visit question in the target follow-up visit template from the preset follow-up visit knowledge base;

obtaining at least one reference follow-up answer corresponding to the reference follow-up question, and determining a target reference follow-up answer matched with the follow-up answer in the at least one reference follow-up answer;

and obtaining a follow-up conclusion corresponding to the target reference follow-up answer, determining a follow-up evaluation result based on the follow-up conclusion corresponding to the target reference follow-up answer, and sending the follow-up evaluation result to the patient side.

7. The method of claim 1, further comprising:

acquiring an initial follow-up questionnaire aiming at the follow-up answers, and sending the initial follow-up questionnaire to the patient end;

and obtaining a target follow-up questionnaire returned by the patient side, and adjusting the follow-up template based on the target follow-up questionnaire.

8. A data processing apparatus, comprising:

the follow-up visit module is used for acquiring a follow-up visit trigger event corresponding to each follow-up visit template, and the follow-up visit trigger event is used for indicating a condition for sending the follow-up visit template to a patient for follow-up visit answering;

9. A computer device, comprising: a processor, a memory, and a network interface;

the processor is coupled to the memory and the network interface, wherein the network interface is configured to provide data communication functionality, the memory is configured to store program code, and the processor is configured to invoke the program code to cause the computer device to perform the method of any of claims 1-7.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program adapted to be loaded and executed by a processor to cause a computer device having the processor to perform the method of any of claims 1-7.