CN114461895A

CN114461895A - Medical information pushing method and device, computer equipment and storage medium

Info

Publication number: CN114461895A
Application number: CN202111376434.8A
Authority: CN
Inventors: 陈涛; 何明杰; 谭雅
Original assignee: China Construction Bank Corp
Current assignee: China Construction Bank Corp
Priority date: 2021-11-19
Filing date: 2021-11-19
Publication date: 2022-05-10

Abstract

The application relates to a medical information pushing method, a medical information pushing device, a computer device, a storage medium and a computer program product. The method comprises the following steps: receiving a medical information request sent by a user based on an access terminal; the medical information request carries a user identifier; inquiring the intermediate result according to the user identifier to determine candidate information content; the intermediate result is the mapping of each user identification and the candidate information identification set obtained by matching according to the user portrait of each user and the information base; acquiring equipment information of an access terminal and analyzing the equipment information to obtain an analysis result; when the analysis is successful, determining target information content from the candidate information content according to the geographic position in the analysis result; the target information content is pushed to the access terminal and displayed. By adopting the method, the data processing efficiency can be improved, and the data processing time can be shortened, so that the consistency of cross-channel medical information pushing is ensured.

Description

Medical information pushing method and device, computer equipment and storage medium

Technical Field

The present application relates to the field of big data analysis technology, and in particular, to a medical information pushing method, apparatus, computer device, storage medium, and computer program product.

Background

The current pushing method of information content in medical service application includes fixed content pushing and personalized recommended content pushing. For personalized recommended content, generally, after a client logs in, a system dynamically generates recommended content by inquiring client information and feeds the recommended content back to the client for display.

However, the medical service system has multiple access channels, each channel has its own information module, or even if there is a centralized recommendation engine, the device information logged in by different channels is inconsistent or even missing (for example, logging in through a website, because of missing geographic location information or error caused by calculating location according to internet IP, the hospital information recommended nearby will be inaccurate), resulting in inconsistency of the pushed medical information.

Disclosure of Invention

In view of the above, it is necessary to provide a medical information pushing method, a medical information pushing apparatus, a computer device, a computer readable storage medium, and a computer program product, which can improve the accuracy of pushing medical information.

In a first aspect, the present application provides a method for pushing medical information. The method comprises the following steps:

receiving a medical information request sent by a target user based on an access terminal; the medical information request carries a user identifier;

inquiring an intermediate result according to the user identifier to determine candidate information content; the intermediate result is the mapping of each user identification and the candidate information identification set obtained by matching according to the user portrait of each user and the information base;

acquiring equipment information of the access terminal and analyzing the equipment information to obtain an analysis result;

when the analysis is successful, determining target information content from the candidate information content according to the geographic position in the analysis result;

and pushing the target information content to the access terminal and displaying the target information content.

In one embodiment, before the receiving the medical information request sent by the access terminal, the method further includes:

acquiring last access time of each user;

when the last access time is within a preset time length from the current time, determining the corresponding user as a target user;

and when detecting that incremental data is generated in a time period from the last user portrait updating time of the target user to the current time, updating the user portrait of the target user according to the incremental data to obtain an updated user portrait.

In one embodiment, the updating the user representation of the target user according to the incremental data to obtain an updated user representation includes:

when the incremental data comprise hospitalizing behavior data, updating a health portrait in the user portrait of the target user according to the hospitalizing behavior data to obtain a first user portrait;

detecting whether the incremental data includes external behavior data, and if not, taking the first user representation as an updated user representation.

In one embodiment, the method further comprises:

and when the external behavior data is included, updating the external portrait in the first user portrait according to the external behavior data to obtain an updated user portrait.

In one embodiment, the updating the initial user representation of each of the target users according to the incremental data to obtain a corresponding user representation includes:

and when the incremental data do not comprise the hospitalizing behavior data and the incremental data comprise external behavior data, updating the external portrait of the user portrait of the target user according to the external behavior data to obtain the updated user portrait.

In one embodiment, the preprocessing of the intermediate result includes:

when detecting that the user portrait of the target user is updated, matching according to a first label of the updated user portrait and a second label of each information content in the information base, and when matching, determining matched candidate information content;

and updating the mapping between the user identifier of the target user and the selected information identifier of each candidate information content to obtain an intermediate result.

In one embodiment, the method further comprises:

when the analysis is unsuccessful, acquiring the pushed information content cached last time of the target user;

and pushing the pushed information content to the access terminal for displaying as a target information content.

In a second aspect, the present application further provides a medical information pushing apparatus. The device comprises:

the receiving module is used for receiving a medical information request sent by a user based on an access terminal; the medical information request carries a user identifier;

the first determining module is used for determining candidate information content according to the intermediate result queried by the user identifier; the intermediate result is the mapping of each user identification and the candidate information identification set obtained by matching according to the user portrait of each user and the information base;

the analysis module is used for acquiring the equipment information of the access terminal and analyzing the equipment information to obtain an analysis result;

the second determining module is used for determining target information content from the candidate information content according to the geographic position in the analysis result when the analysis is successful;

and the pushing module is used for pushing the target information content to the access terminal and displaying the target information content.

In one embodiment, the apparatus further comprises:

the acquisition module is used for acquiring the last access time of each user;

a third determining module, configured to determine that the corresponding user is the target user when the last access time is within a preset time from the current time;

and the updating module is used for updating the user portrait of the target user according to the incremental data when detecting that the incremental data is generated in the time period from the last time of updating the user portrait of the target user to the current time, so as to obtain the updated user portrait.

In one embodiment, the update module is further configured to:

In one embodiment, the update module is further configured to, when the external behavior data is included, update the external representation in the first user representation according to the external behavior data to obtain an updated user representation.

In one embodiment, the updating module is further configured to, when the incremental data does not include the hospitalization behavior data and it is detected whether the incremental data includes external behavior data, update the external representation of the user representation of the target user according to the external behavior data to obtain an updated user representation.

In one embodiment, the apparatus further comprises:

the preprocessing module is used for matching a first label of the updated user portrait with a second label of each information in the information base when the user portrait of the target user is detected to be updated, and determining matched candidate information content when the first label of the updated user portrait is matched with the second label of each information in the information base;

In one embodiment, the preprocessing module is further configured to, when it is detected that the user representation of the target user is updated and the information base is updated, perform matching according to the updated first tag of the user representation and the updated second tag of each information in the information base, and when the matching is performed, determine a matching candidate information content.

In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the following steps when executing the computer program:

receiving a medical information request sent by a user based on an access terminal; the medical information request carries a user identifier;

In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:

In a fifth aspect, the present application further provides a computer program product. The computer program product comprising a computer program which when executed by a processor performs the steps of:

According to the medical information pushing method, the medical information pushing device, the computer equipment, the storage medium and the computer program product, mapping of each user identifier and a candidate information identifier set is obtained by matching according to the user portrait of each user and the information base, namely preprocessing is carried out in advance to obtain an intermediate result; when a medical information request triggered by a user based on any access channel is responded, target information content to be pushed is quickly determined from an intermediate result according to user identification and equipment information carried by the medical information request, the target information content does not need to be determined and calculated on line, the data processing efficiency is improved, the data processing time length is shortened, furthermore, when the same access terminal accesses the medical information through different channels, the target information content can be determined only through the user identification and the equipment information, the pushing of the medical information messages of different channels is prevented from being non-uniform, and the consistency of the cross-channel medical information pushing is further ensured.

Drawings

FIG. 1 is a diagram illustrating an exemplary embodiment of a medical information delivery method;

FIG. 2 is a flowchart illustrating a medical information pushing method according to an embodiment;

FIG. 3 is a flow diagram illustrating a method for user representation update in one embodiment;

FIG. 4 is a flowchart illustrating a user representation update step in one embodiment;

FIG. 5 is a flowchart illustrating a medical information pushing step according to an embodiment;

FIG. 6 is a flowchart illustrating a medical information pushing method according to another embodiment;

FIG. 7 is a block diagram illustrating an exemplary embodiment of a medical information delivery apparatus;

FIG. 8 is a diagram illustrating an internal structure of a computer device according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

The medical information pushing method provided by the embodiment of the application can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104, or may be located on the cloud or other network server. The server 104 (which may be a medical information server) receives a medical information request sent by a user based on the terminal 102, i.e., an access terminal; the medical information request carries a user identifier; inquiring the intermediate result according to the user identifier to determine candidate information content; the intermediate result is the mapping of each user identification and the candidate information identification set obtained by matching according to the user portrait of each user and the information base; acquiring equipment information of an access terminal and analyzing the equipment information to obtain an analysis result; when the analysis is successful, determining target information content from the candidate information content according to the geographic position in the analysis result; the target information content is pushed to the access terminal and displayed. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices and portable wearable devices, and the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart car-mounted devices, and the like. The portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, and the like. The server 104 may be implemented as a stand-alone server or as a server cluster comprised of multiple servers.

In one embodiment, as shown in fig. 2, a medical information pushing method is provided, which is described by taking the method as an example applied to the server in fig. 1, and includes the following steps:

step 202, receiving a medical information request sent by a user based on an access terminal; the medical information request carries a user identifier.

When accessing the medical information system, the access terminal can access through different channels, such as a designated website and an application program (e.g., a designated APP, a public platform, a payment platform, an applet, etc.) managed by the medical information server. The medical information system may push relevant medical information (e.g., health information, recommended hospital information, etc.) to the access terminal. The subscriber identity is used to distinguish between different access terminals.

Specifically, when receiving a medical information request sent by a user based on an access terminal, a server analyzes request information carried by the medical information request to obtain a user identifier associated with the access terminal; the medical information request also carries channel identifiers of different access channels.

Step 204, querying the intermediate result according to the user identifier to determine candidate information content.

The candidate information contents include different types of information contents, and the information contents include medical information (e.g., a hospital or a rank of a hospital related to the user profile information recommendation) and recommendation information associated with the medical information (e.g., a funding platform of medical resources, etc.).

Each user identification corresponds to a user portrait, the user portrait comprises a health portrait of the body and an external portrait, the health portrait is determined according to diagnosis and treatment data and health archive information of the user, and the health portrait can classify data such as health indexes, medical treatment frequency and medical treatment preference of the user; the external representation is determined according to external behavior data associated with the medical data and the health record information, the external behavior data comprises expense data generated by medical treatment behaviors, for example, the expense data generated by medical treatment behaviors of A is paid by a payment mode 001. The user representation is continuously updated, and the updating of the user representation refers to updating of the user representation of the target user within a set time period. In an embodiment, as shown in fig. 3, a method for updating a user portrait in an embodiment specifically includes the following steps:

step 302, obtaining the last access time of each user.

And step 304, when the last access time is within a preset time length from the current time, determining that the corresponding user is the target user.

The target user is an active user, and the target user may be determined according to the last access time of each user, that is, the last access time is not within the user image update time period of the last user, incremental data may be generated, and the user within the time period is determined as the target user, that is, the active user.

Optionally, in an embodiment, the target user refers to a user who accesses the target user by obtaining historical access frequency of each user within a set time period; when the historical access frequency is greater than the preset frequency, determining the corresponding user as a target user; the set time period is set according to actual needs, and may be, for example, one week, 15 days, one month, or the like. The historical access frequency refers to access data of a user in a set time period, and the access data comprises access time and access frequency. The preset frequency is preset, and the target user refers to an active user, namely a user who accesses the medical information system frequently.

And step 306, when detecting that the incremental data is generated in the time period from the last user portrait updating time of the target user to the current time, updating the user portrait of the target user according to the incremental data to obtain the updated user portrait.

The incremental data at least comprises any one of hospitalizing behavior data and external behavior data, and the hospitalizing behavior data comprises diagnosis and treatment records generated by hospitalizing of the user, updating data of health records and the like; the external behavioral data includes behavioral data based on associations with the clinical data and the health profile information.

Specifically, when incremental data are generated in a time period from the last user portrait updating time of the target user to the current time, updating a health portrait in the user portrait of the target user according to the hospitalizing behavior data when the incremental data comprise hospitalizing behavior data to obtain a first user portrait;

detecting whether the incremental data includes external behavior data, and if not, taking the first user representation as an updated user representation; and when the external behavior data is included, updating the external portrait in the first user portrait according to the external behavior data to obtain an updated user portrait. And when the incremental data do not comprise the hospitalizing behavior data and the incremental data comprise the external behavior data, updating the external portrait of the user portrait of the target user according to the external behavior data to obtain the updated user portrait.

In the user portrait updating method, the target user is determined, and when the target user generates the incremental data, the corresponding portrait in the user portrait is updated according to the data type in the incremental data, so that all the user portraits do not need to be updated, the data processing amount is reduced, and the accuracy of user portrait updating is improved.

The intermediate result is the mapping of each user ID and candidate ID set obtained by matching the user image of each user with the information database.

The intermediate results may be stored in the form of a data table, as shown in Table 1, where the user identification (i.e., user ID) includes customer1 and customer2, and the candidate information identification set includes { A1, A2, B1} and { A3, C2 }.

Table 1:

user ID	Information ID	Time stamp
			customer1	A1,A2,B1	20210520025532
customer2	A3,C2	20210520025533

Further, the intermediate result is obtained through preprocessing, and when the last access time of each user in a set time period is obtained; when the last access time is within the preset duration from the current time, determining the corresponding user as a target user, preprocessing an intermediate result according to the target user, namely when the user portrait of the target user is detected to be updated, matching the updated first label of the user portrait with the second label of each information content in the information base, and when the updated first label of the user portrait is matched with the second label of each information content in the information base, determining matched candidate information content; and updating the mapping between the user identifier of the target user and the selected information identifier of each candidate information content to obtain an intermediate result. The first label of the user image and the second label of each information content in the information base are predetermined and can be determined manually.

Optionally, when it is detected that the user image of the target user is updated and the information base is updated, matching is performed according to the first tag of the updated user image and the second tag of each information in the updated information base, and when matching is performed, the matched candidate information content is determined. And updating the mapping between the user identifier of the target user and the selected information identifier of each candidate information content to obtain an intermediate result. Wherein, the updating of the information base refers to updating the information of the information base when responding to the operations of adding, deleting and modifying. When the user portrait or the information base is determined to be updated, the intermediate result is synchronously updated, so that the accuracy of the intermediate result and the updating real-time performance are ensured.

And step 206, acquiring the equipment information of the access terminal and analyzing the equipment information to obtain an analysis result.

The equipment information comprises a hardware serial number, geographical position information, networking information and the like; the mode of the device information is the existing mode, and is not described herein again.

In step 208, when the parsing is successful, the target information content is determined from the candidate information content according to the geographic position in the parsing result.

Wherein, there is a corresponding relationship between the geographic location and the information content, and the corresponding relationship may be that the information content closest to the geographic location is determined from the candidate information content as the target information content, or a pre-established mapping relationship may also be used, for example, the target information content corresponding to the geographic location a is information content 1, and the information content 1 may be a hospital within a distance of 500 meters from the user.

Specifically, when the analysis is successful, the geographic position in the analysis result is obtained, and the target information content closest to the geographic position is determined from the candidate information contents.

Step 210, the target information content is pushed to the access terminal and displayed.

In the medical information pushing method, the user portrait of each user is matched with the information base, and preprocessing is performed to obtain an intermediate result; when responding to a medical information request triggered by a user based on any access channel, quickly determining target information content to be pushed from an intermediate result according to user identification and equipment information carried by the medical information request, without determining and calculating the target information content on line, improving the data processing efficiency and shortening the data processing time; when the same access terminal accesses the medical information through different channels, the target information content can be determined only by the user identification and the equipment information, so that the non-uniformity of pushing of the medical information messages of different channels is avoided, and the consistency of pushing of the cross-channel medical information is ensured.

In one embodiment, as shown in FIG. 4, a user representation updating step is provided, which is described by way of example as applied to the server in FIG. 1, and includes the following steps:

step 402, obtaining the last access time of each user.

And step 404, when the last access time is within a preset time length from the current time, determining that the corresponding user is the target user.

Specifically, when the last access time is within a preset time length from the current time, that is, the user portrait of the time period is not updated, the user whose last access time is within the preset time length from the current time is determined as the target user.

Step 406, detecting whether incremental data is generated in a time period from the last user portrait updating time of the target user to the current time, if so, executing step 408; otherwise, ending.

Step 408, detecting whether the incremental data comprises hospitalizing behavior data, if so, executing step 410; otherwise, step 412 is performed.

Step 410, updating the health portrait in the user portrait of the target user according to the hospitalizing behavior data to obtain the user portrait with the updated health portrait.

In step 412, it is detected whether the incremental data includes external behavior data, if yes, step 414 is executed, otherwise, step 416 is executed.

The external behavior data is obtained by calling a specified interface, for example, the external behavior data is key data outside the system, and is queried by calling the external interface.

Step 414, updating the external portrait in the user portrait according to the external behavior data to obtain an updated user portrait.

Specifically, when the incremental data do not include the hospitalizing behavior data and the incremental data are detected to include the external behavior data, updating the external portrait of the user portrait of the target user according to the external behavior data to obtain an updated user portrait; when the incremental data comprise hospitalizing behavior data, updating a health portrait in a user portrait of the target user according to the hospitalizing behavior data to obtain a first user portrait; and detecting that the incremental data comprises external behavior data, and updating the external portrait in the first user portrait according to the external behavior data when the incremental data comprises the external behavior data to obtain an updated user portrait.

Step 416 updates the user representation processing time.

In the step of updating the user portrait, the target user is determined, when the target user has incremental data generated, whether the incremental data comprises hospitalizing behavior data and external behavior data is detected in sequence, the corresponding portrait in the user portrait is updated according to the data type in the incremental data, all the user portraits do not need to be updated, the data processing amount is reduced, and the accuracy of updating the user portrait is improved.

In one embodiment, as shown in fig. 5, a medical information pushing step is provided, which is described by taking the application of the step to the server in fig. 1 as an example, and includes the following steps:

step 502, receiving a medical information request sent by a user based on an access terminal; the medical information request carries a user identifier.

Step 504, querying the intermediate result according to the user identifier to determine candidate information content.

The intermediate result is the mapping of each user identifier and the candidate information identifier set obtained by matching according to the user portrait of each user and the information base; it can be understood as a preprocessing process of the intermediate result, i.e. the user portrait and the intermediate result are preprocessed before receiving the medical information request, so as to complete the updating of the user portrait and the intermediate result.

Specifically, when a medical information request sent by a user based on an access terminal is received, a medical information request carrying user identification is obtained by analyzing the medical information request, and corresponding candidate information content is obtained from an intermediate result obtained by preprocessing according to the user identification.

Step 506, acquiring the device information of the access terminal and analyzing the device information to obtain an analysis result.

Step 508, determine whether the analysis is successful, if so, go to step 510, otherwise, go to step 512.

Step 510, when the parsing is successful, determining the target information content from the candidate information content according to the geographic position in the parsing result.

Step 512, when the parsing is unsuccessful, obtaining the latest cached pushed information content of the target user, and using the pushed information content as the target information content.

Step 514, pushing the target information content to the access terminal and displaying.

In the step of pushing the medical information, the intermediate results of the user portrait and the medical information are preprocessed by a staged method, and the part of data analysis in time-consuming online transaction is decomposed into offline calculation, so that the system efficiency is improved; in response to a medical information request triggered by a user based on any access channel, quickly determining target information content to be pushed from an intermediate result according to user identification and equipment information carried by the medical information request, namely processing a cross-channel medical information request through a uniform distribution engine, and writing and reading medical information results in a cross-channel manner by using a cache mechanism; the method has the advantages of strong fault tolerance, no need of on-line determination and calculation of target information content, improvement of data processing efficiency and shortening of data processing time, and when medical content access is performed based on different channels, the target information content to be pushed is determined according to the user identification and the equipment information, so that the difference of pushing of the information content of different channels is avoided, and the accuracy of consistency of cross-channel medical information pushing is ensured.

In another embodiment, as shown in fig. 6, a method for updating a user representation is provided, which is described by taking the method as an example applied to the server in fig. 1, and includes the following steps:

step 602, when detecting that the target user has incremental data generated, updating the user portrait of the target user according to the incremental data.

Specifically, the last access time of each user is obtained; when the last access time is within a preset time length from the current time, determining the corresponding user as a target user; and when detecting that incremental data is generated in a time period from the last user portrait updating time of the target user to the current time, updating the user portrait of the target user according to the incremental data to obtain an updated user portrait.

Step 604, preprocessing the intermediate result, wherein the intermediate result is obtained by matching the user image of each user with the information base, and mapping each user identifier and the candidate information identifier set.

Specifically, when detecting that the user portrait of the target user is updated, matching according to a first label of the updated user portrait and a second label of each information content in the information base, and when matching, determining a matched candidate information content; or when the user image of the target user is detected to be updated and the information base is updated, matching is carried out according to the first label of the updated user image and the second label of each information in the updated information base, and when the matched candidate information content is determined during matching, the user identification of the target user and the selected information identification mapping of each candidate information content are updated to obtain an intermediate result.

Step 606, receiving a medical information request sent by a user based on an access terminal; the medical information request carries a user identifier.

Step 608, determining candidate information content according to the intermediate result of the user ID query.

And step 610, acquiring the equipment information of the access terminal and analyzing the equipment information to obtain an analysis result.

Step 612, determine whether the analysis is successful, if yes, go to step 614, otherwise go to step 616.

Step 614, when the parsing is successful, determining the target information content from the candidate information content according to the geographic position in the parsing result.

Step 616, when the analysis is unsuccessful, judging whether cache data exists, if so, executing step 618; otherwise, step 620 is performed.

Specifically, when the parsing is unsuccessful, obtaining the cache data of the access terminal, and determining whether the cache data contains the pushed information content cached last time, if yes, executing step 618; otherwise, step 620 is performed.

Step 618, obtain the latest cached pushed information content of the target user, and use the pushed information content as the target information content.

Step 620, randomly selecting the information content from the candidate information contents as the target information content.

Step 622, the target information content is pushed to the access terminal and displayed.

In one embodiment, the last access time of each user in a set time period is obtained; when the last access time is within a preset time length from the current time, determining the corresponding user as a target user; when the incremental data comprise hospitalizing behavior data, updating a health portrait in a user portrait of the target user according to the hospitalizing behavior data to obtain a first user portrait; detecting whether the incremental data includes external behavior data, and if not, taking the first user representation as an updated user representation; when the external behavior data is included, updating the external portrait in the first user portrait according to the external behavior data to obtain an updated user portrait; and when the incremental data do not comprise the hospitalizing behavior data and the incremental data comprise the external behavior data, updating the external portrait of the user portrait of the target user according to the external behavior data to obtain the updated user portrait.

When detecting that the user portrait of the target user is updated, matching according to the first label of the updated user portrait and the second label of each information content in the information base, and determining matched candidate information content when matching; updating the mapping between the user identifier of the target user and the selected information identifier of each candidate information content to obtain an intermediate result; when detecting that the user image of the target user is updated and the information base is updated, matching according to the first label of the updated user image and the second label of each information in the updated information base, and when matching, determining matched candidate information content; and updating the mapping between the user identifier of the target user and the selected information identifier of each candidate information content to obtain an intermediate result, and finishing the preprocessing of the intermediate result.

When receiving a medical information request sent by a user based on an access terminal, inquiring an intermediate result according to the medical information request carrying a user identifier, and determining candidate information content; acquiring equipment information of an access terminal and analyzing the equipment information to obtain an analysis result; when the analysis is successful, determining target information content from the candidate information content according to the geographic position in the analysis result, and when the analysis is unsuccessful, acquiring the pushed information content cached at the last time of the target user, using the pushed information content as the target information content, and pushing the target information content to the access terminal for displaying.

In the medical information pushing method, the intermediate results of the user portrait and the medical information are preprocessed by a staged method, the part of data analysis in time-consuming online transaction is decomposed into off-line calculation, the system efficiency is improved, the medical information request triggered by a user based on any access channel is responded, the target information content to be pushed is quickly determined from the intermediate results according to the user identification and the equipment information carried by the medical information request, the target information content does not need to be determined, calculated and analyzed on line, the data processing efficiency is improved, the data processing time is shortened, and the consistency of cross-channel medical information pushing is ensured.

It should be understood that, although the steps in the flowcharts related to the above embodiments are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the above embodiments may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps.

Based on the same inventive concept, the embodiment of the present application further provides a medical information pushing apparatus for implementing the medical information pushing method mentioned above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the method, so the specific limitations in one or more embodiments of the medical information pushing device provided below can be referred to the limitations of the medical information pushing method in the above, and are not described herein again.

In one embodiment, as shown in fig. 7, there is provided a medical information pushing apparatus, including: a receiving module 702, a first determining module 704, a parsing module 706, a second determining module 708, and a pushing module 710, wherein:

a receiving module 702, configured to receive a medical information request sent by a user based on an access terminal; the medical information request carries a user identifier.

A first determining module 704, configured to determine candidate information content according to the intermediate result queried by the user identifier; the intermediate result is the mapping of each user ID and candidate ID set obtained by matching the user image of each user with the information database.

And the analysis module 706 is configured to obtain the device information of the access terminal and analyze the device information to obtain an analysis result.

A second determining module 708, configured to determine the target information content from the candidate information contents according to the geographic location in the parsing result when the parsing is successful.

The pushing module 710 is used for pushing the target information content to the access terminal and displaying the target information content.

The medical information pushing device carries out matching according to the user portrait of each user and the information base to obtain the mapping of each user mark and the candidate information mark set, namely carrying out preprocessing in advance to obtain an intermediate result; in response to a medical information request triggered by a user based on any access channel, target information content to be pushed is quickly determined from an intermediate result according to user identification and equipment information carried by the medical information request, the target information content does not need to be determined, calculated and analyzed on line, the data processing efficiency is improved, the data processing time length is shortened, and therefore the consistency of cross-channel medical information pushing is ensured.

In another embodiment, a medical information pushing apparatus is provided, which comprises, in addition to the receiving module 702, the first determining module 704, the parsing module 706, the second determining module 708 and the pushing module 710: the device comprises an acquisition module, a third determination module and a preprocessing module, wherein:

and the acquisition module is used for acquiring the last access time of each user.

And the third determining module is used for determining the corresponding user as the target user when the last access time is within the preset time length from the current time.

And the updating module is used for updating the user portrait of the target user according to the incremental data to obtain the updated user portrait when the incremental data is generated in the time period from the last time of updating the user portrait to the current time of the target user.

In one embodiment, the updating module is further configured to update the health representation in the user representation of the target user according to the hospitalization behavior data when the incremental data includes the hospitalization behavior data, so as to obtain a first user representation; detecting whether the incremental data includes external behavior data, and if not, taking the first user representation as an updated user representation.

In one embodiment, the update module is further configured to, when the external behavior data is included, update the external representation in the first user representation based on the external behavior data to obtain an updated user representation.

In one embodiment, the updating module is further configured to update the external representation of the user representation of the target user according to the external behavior data when the incremental data does not include the hospitalization behavior data and whether the incremental data includes the external behavior data is detected, so as to obtain an updated user representation.

The preprocessing module is used for matching a first label of an updated user portrait with a second label of each information in the information base when the user portrait of a target user is detected to be updated, and determining matched candidate information content when the first label of the updated user portrait is matched with the second label of each information in the information base;

In one embodiment, the preprocessing module is further configured to, when it is detected that the user image of the target user is updated and the information base is updated, perform matching according to the first tag of the updated user image and the second tag of each information in the updated information base, and when the first tag of the updated user image and the second tag of each information in the updated information base are matched, determine a candidate information content for matching.

In one embodiment, based on the medical information pushing device, the last access time of each user in a set time period is obtained; when the last access time is within a preset time length from the current time, determining the corresponding user as a target user; when the incremental data comprise hospitalizing behavior data, updating a health portrait in a user portrait of the target user according to the hospitalizing behavior data to obtain a first user portrait; detecting whether the incremental data includes external behavior data, and if not, taking the first user representation as an updated user representation; when the external behavior data is included, updating the external portrait in the first user portrait according to the external behavior data to obtain an updated user portrait; and when the incremental data do not comprise the hospitalizing behavior data and the incremental data comprise the external behavior data, updating the external portrait of the user portrait of the target user according to the external behavior data to obtain the updated user portrait.

When detecting that the user portrait of the target user is updated, matching the first label of the updated user portrait with the second label of each information content in the information base, and when matching, determining matched candidate information content; updating the mapping between the user identifier of the target user and the selected information identifier of each candidate information content to obtain an intermediate result; when detecting that the user image of the target user is updated and the information base is updated, matching according to the first label of the updated user image and the second label of each information in the updated information base, and when matching, determining matched candidate information content; and updating the mapping between the user identifier of the target user and the selected information identifier of each candidate information content to obtain an intermediate result, and finishing the preprocessing of the intermediate result.

All or part of the modules in the medical information pushing device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 8. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operating system and the computer program to run on the non-volatile storage medium. The database of the computer device is used for storing medical information, user images, data related to the user images, intermediate results and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by the processor to implement a medical information pushing method.

Those skilled in the art will appreciate that the architecture shown in fig. 8 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:

inquiring the intermediate result according to the user identifier to determine candidate information content; the intermediate result is the mapping of each user identification and the candidate information identification set obtained by matching according to the user portrait of each user and the information base;

acquiring equipment information of an access terminal and analyzing the equipment information to obtain an analysis result;

the target information content is pushed to the access terminal and displayed.

In one embodiment, the processor, when executing the computer program, further performs the steps of:

acquiring last access time of each user in a set time period;

when the incremental data comprise hospitalizing behavior data, updating a health portrait in a user portrait of the target user according to the hospitalizing behavior data to obtain a first user portrait;

and when the incremental data do not comprise the hospitalizing behavior data and the incremental data comprise the external behavior data, updating the external portrait of the user portrait of the target user according to the external behavior data to obtain the updated user portrait.

when detecting that the user portrait of the target user is updated, matching the first label of the updated user portrait with the second label of each information content in the information base, and when matching, determining matched candidate information content;

the pushed information content is used as the target information content to be pushed to the access terminal for displaying.

In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:

the target information content is pushed to the access terminal and displayed.

In one embodiment, the computer program when executed by the processor further performs the steps of:

acquiring last access time of each user in a set time period;

In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, performs the steps of:

the target information content is pushed to the access terminal and displayed.

acquiring last access time of each user in a set time period;

detecting whether the delta data includes external behavior data, and when not, treating the first user representation as an updated user representation.

It should be noted that, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.

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 hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, databases, or other media used in the embodiments provided herein can include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), Magnetic Random Access Memory (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A medical information pushing method is characterized by comprising the following steps:

2. The method of claim 1, wherein prior to said receiving the request for medical information from the access terminal, the method further comprises:

acquiring last access time of each user;

3. The method of claim 2, wherein said updating the user representation of the target user based on the delta data to obtain an updated user representation comprises:

4. The method of claim 3, further comprising:

5. The method of claim 2, wherein said updating an initial user representation of each of said target users based on said incremental data to obtain a corresponding user representation comprises:

6. The method of claim 2, wherein the pre-processing of the intermediate results comprises:

7. The method of claim 1, further comprising:

8. A medical information pushing apparatus, the apparatus comprising:

9. The apparatus of claim 8, further comprising:

the acquisition module is used for acquiring the last access time of each user;

10. The apparatus of claim 9, wherein the update module is further configured to:

11. The apparatus of claim 10, wherein the update module is further configured to update an external representation of the first user representation based on the external behavior data to obtain an updated user representation when the external behavior data is included.

12. The apparatus of claim 9, wherein the update module is further configured to update the external representation of the user representation of the target user according to the external behavior data when the incremental data does not include the hospitalization behavior data and whether the incremental data includes the external behavior data is detected, so as to obtain an updated user representation.

13. The apparatus of claim 8, further comprising:

and updating the mapping between the user identifier of the target user and the information identifier of each candidate information content to obtain an intermediate result.

14. The apparatus of claim 13, wherein the preprocessing module is further configured to, when the user representation of the target user is detected to be updated and the information repository is updated, perform matching according to the updated first tag of the user representation and the updated second tag of each information in the information repository, and when matching, determine a matching candidate information content.

15. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.

16. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.

17. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 7 when executed by a processor.