CN113688329A - Information pushing method, device, equipment and storage medium based on medical service - Google Patents

Information pushing method, device, equipment and storage medium based on medical service Download PDF

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CN113688329A
CN113688329A CN202110983612.7A CN202110983612A CN113688329A CN 113688329 A CN113688329 A CN 113688329A CN 202110983612 A CN202110983612 A CN 202110983612A CN 113688329 A CN113688329 A CN 113688329A
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information
medicine
medical service
user
service point
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孙耀辉
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Shenzhen Ping An Smart Healthcare Technology Co ltd
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Ping An International Smart City Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms

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Abstract

The invention relates to the technical field of artificial intelligence, is applied to the field of intelligent medical treatment, and discloses an information pushing method, a device, equipment and a storage medium based on medical service, wherein the method part comprises the following steps: determining medicine demand information including a medicine required by a user to use; determining a medical service point within a preset range of a user according to the positioning information of the user, and acquiring the inventory medicine information and the position information of the medical service point; determining whether a medical service point capable of providing a used medicine exists in the medical service points according to the inventory medicine information of the medical service points, and if not, determining a substitute medicine for the used medicine according to a preset prediction model; determining service point recommendation information according to the alternative medicines, the stock medicine information and the position information of the medical service point, and pushing the service point recommendation information to a user; according to the invention, timely and accurate medicine information can be provided for the user, inconvenience of the user in purchasing medicines in different places is reduced, and medicine purchasing efficiency and medicine purchasing experience of the user are improved.

Description

Information pushing method, device, equipment and storage medium based on medical service
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to an information pushing method, device, equipment and storage medium based on medical service.
Background
With the current urbanization progress of China deepening continuously, more and more people leave the ordinary places and go to activities in different places, such as tourism, business trips in different places, visitors and the like, so that the number of urban floating population is increased.
The inventor finds that a large number of disease patients (such as chronic disease patients) are included in the urban floating population, and the disease patients usually select familiar medical institutions or drugstores nearby when visiting or purchasing medicines, but the floating disease patients are not familiar with the remote environment, so that the remote visiting or the remote medicine purchasing is inconvenient. For example, when a drug needs to be purchased in a different place, a large amount of time is required to search for a medical institution or a pharmacy, and the found medical institution or pharmacy may not provide a commonly used drug, so that a patient often cannot timely and accurately purchase the commonly used drug, and the drug purchasing efficiency is low and the drug purchasing experience is poor.
Disclosure of Invention
The invention provides an information pushing method, device, equipment and storage medium based on medical service, and aims to solve the problems that in the prior art, a patient cannot timely and accurately purchase a common medicine when purchasing the medicine in a different place, so that the medicine purchasing efficiency is low and the medicine purchasing experience is poor.
The information pushing method based on the medical service comprises the following steps:
determining medicine demand information of a user, wherein the medicine demand information comprises medicines required by the user;
determining a plurality of medical service points within a preset range of a user according to positioning information of the user, and acquiring inventory medicine information and position information of the medical service points, wherein the medical service points comprise medical institutions and drug stores;
determining whether a medical service point providing a used medicine exists in the plurality of medical service points according to the inventory medicine information of the plurality of medical service points;
if no medical service point capable of providing the medicine is available in the plurality of medical service points, determining a substitute medicine for the medicine according to a preset prediction model, wherein the preset prediction model is a graph neural network model based on a medicine association map;
and determining service point recommendation information according to the alternative medicines, the inventory medicine information and the position information of the medical service points, and pushing the service point recommendation information to the user, wherein the service point recommendation information comprises the target medical service points and the position information of the target medical service points.
The information pushing device based on the medical service comprises:
the system comprises a first determination module, a second determination module and a third determination module, wherein the first determination module is used for determining medicine demand information of a user, and the medicine demand information comprises a medicine required by the user;
the second determination module is used for determining a medical service point in a preset range of the user according to the positioning information of the user and acquiring the inventory medicine information and the position information of the medical service point, wherein the medical service point comprises a medical institution and a pharmacy;
the third determination module is used for determining whether the inventory medicine information of the medical service point contains a used medicine;
the fourth determination module is used for determining a substitute medicine for the medicine to be used according to a preset prediction model if the inventory medicine information of the medical service point does not contain the medicine to be used, wherein the preset prediction model is a graph neural network model based on a medicine association map;
and the fifth determining module is used for determining service point recommendation information according to the alternative medicines, the inventory medicine information of the medical service points and the position information, and pushing the service point recommendation information to the user, wherein the service point recommendation information comprises the target medical service points and the position information of the target medical service points.
A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the medical service-based information pushing method when executing the computer program.
A computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the steps of the above-mentioned medical service-based information pushing method.
In one scheme provided by the medical service-based information pushing method, the medical service-based information pushing device, the medical service-based information pushing equipment and the storage medium, the medicine demand information of the user is determined, and the medicine demand information comprises the medicine required by the user; then, determining a medical service point within a preset range of the user according to the positioning information of the user, and acquiring the inventory medicine information and the position information of the medical service point, wherein the medical service point comprises a medical institution and a pharmacy; determining whether a medical service point capable of providing a used medicine exists in the medical service points according to the inventory medicine information of the medical service points, if the medical service point capable of providing the used medicine does not exist in the medical service points, determining a substitute medicine for the used medicine according to a preset prediction model, wherein the preset prediction model is a graph neural network model based on a medicine association map; finally, service point recommendation information is determined according to the alternative medicines, the inventory medicine information and the position information of the medical service points, and the service point recommendation information is pushed to the user, wherein the service point recommendation information comprises the target medical service points and the position information of the target medical service points; according to the invention, the medical service points within the preset range of the user are determined through the positioning information of the user, and when the medicine in the stock of the medical service points is not used by the user, the substitute medicine for the medicine is determined, so that timely and accurate medicine information can be provided for the user, the inconvenience of the user in purchasing the medicine in different places is reduced, and the medicine purchasing efficiency and the medicine purchasing experience of the user are improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a diagram of an application environment of a method for pushing information based on medical services according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for pushing information based on medical services according to an embodiment of the present invention;
fig. 3 is another schematic flow chart of a method for pushing information based on medical services according to an embodiment of the present invention;
fig. 4 is a schematic flow chart of a method for pushing information based on medical services according to an embodiment of the present invention;
FIG. 5 is a flowchart illustrating an implementation of step S50 in FIG. 2;
FIG. 6 is a flowchart illustrating an implementation of step S52 in FIG. 5;
FIG. 7 is a flowchart illustrating an implementation of step S40 in FIG. 2;
FIG. 8 is a flow chart illustrating an implementation of step S10 in FIG. 2;
FIG. 9 is a schematic structural diagram of a medical service-based information pushing apparatus according to an embodiment of the present invention;
FIG. 10 is a schematic diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. 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 invention.
The information pushing method based on medical services provided by the embodiment of the invention can be applied to an application environment shown in fig. 1, wherein the terminal device communicates with a server through a network. The method comprises the steps that a user sends related information to a server through terminal equipment, the server determines medicine demand information of the user through the related information of the terminal equipment, and the medicine demand information comprises medicines required by the user; then, determining a medical service point within a preset range of the user according to the positioning information of the user, and acquiring the inventory medicine information and the position information of the medical service point, wherein the medical service point comprises a medical institution and a pharmacy; determining whether a medical service point capable of providing a used medicine exists in the medical service points according to the inventory medicine information of the medical service points, if the medical service point capable of providing the used medicine does not exist in the medical service points, determining a substitute medicine for the used medicine according to a preset prediction model, wherein the preset prediction model is a graph neural network model based on a medicine association map; finally, service point recommendation information is determined according to the alternative medicines, the inventory medicine information and the position information of the medical service points, and the service point recommendation information is pushed to the user, wherein the service point recommendation information comprises the target medical service points and the position information of the target medical service points; according to the invention, the medical service points within the preset range of the user are determined through the positioning information of the user, and when the medicine stored in the medical service points is not used by the user, the substitute medicine for the medicine is determined, so that timely and accurate medicine information can be provided for the user, the artificial intelligence of the system is improved, the inconvenience of the user in purchasing the medicine in different places is reduced, the medicine purchasing efficiency and medicine purchasing experience of the user are improved, the promotion of intelligent medical treatment is accelerated, and the progress of an intelligent city is accelerated.
The data such as the related information of the medical service point and the preset prediction model are stored in the block chain database of the server, so that the related data can be directly extracted when related information is pushed, and the method is convenient and fast.
The block chain database in this embodiment is stored in a block chain network, and is used to store data used and generated in a text matching method based on machine learning, such as a standard text, a preset gradient boosting model, a first predicted value, and other relevant data. The block chain referred by the application is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like. The database is deployed in the blockchain, so that the safety of data storage can be improved.
The terminal device in this embodiment may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices. The server may be implemented as a stand-alone server or as a server cluster consisting of a plurality of servers.
In an embodiment, as shown in fig. 2, an information pushing method based on medical services is provided, which is described by taking the server in fig. 1 as an example, and includes the following steps:
s10: and determining the medicine demand information of the user, wherein the medicine demand information comprises the medicine required by the user to use.
When recommending relevant information to a user, the medicine demand information of the user needs to be determined, wherein the medicine demand information comprises the medicine required by the user.
The medicine demand information of the user can be manually input by the user, and when the user needs to purchase the medicine, the user sends a medicine purchase request to the system and inputs the medicine demand information, so that the system can push the related information according to the medicine demand information input by the user. The drug demand information of the user can also be automatically generated by the system according to the historical disease-related information of the user, wherein the disease-related information of the user comprises the disease information, diagnosis and treatment records and medication records of the user. When a user sends a medicine purchasing request to the system or the system detects that the positioning information of the user does not belong to the user standing area, the system automatically acquires the disease related information of the user, then determines the medicine required by the user according to the disease related information of the user, and further generates medicine demand information according to the medicine required by the user so as to push the related information later.
S20: and determining a medical service point within a preset range of the user according to the positioning information of the user, and acquiring the inventory medicine information and the position information of the medical service point.
After the medicine demand information of the user is determined, the medical service point in the preset range of the user is determined according to the positioning information of the user, and the inventory medicine information and the position information of the medical service point are obtained.
The medical service points comprise medical institutions and drug stores. Medical facilities include hospitals, health homes, nursing homes, disease prevention and treatment facilities, health care facilities, outpatient departments, clinics, health facilities, medical rooms, emergency treatment facilities, and the like.
The positioning information of the user is the geographical position of the user, and the positioning information can be latitude and longitude information.
S30: and determining whether a medical service point capable of providing the used medicine exists in the plurality of medical service points according to the inventory medicine information of the plurality of medical service points.
After the medical service points within the preset range of the user are determined, whether medical service points capable of providing the used medicines exist in the plurality of medical service points or not needs to be determined according to the inventory medicine information of the plurality of medical service points, so that different strategies are executed according to the situation determination result of each medical service point.
The method for determining whether the medical service points capable of providing the used medicines exist in the plurality of medical service points according to the inventory medicine information of the plurality of medical service points includes the following steps: determining whether the name of the used medicine is contained in the inventory medicine information of the medical service point, if so, determining whether the number of the used medicines in the inventory medicine information is less than 1, and if not, determining that the medical service point can provide the used medicine; if the name of the used medicine is not included in the inventory medicine information of the medical service point or the number of the used medicines is less than 1, the medical service point is determined not to be capable of providing the used medicine.
In other embodiments, the drug demand information of the user includes not only the drugs required by the user to be used, but also the required quantity and the required brand of the used drugs, and when determining whether a medical service point capable of providing the used drugs exists in the plurality of medical service points according to the drug inventory information of the plurality of medical service points, if it is determined that the drug inventory information of the medical service points includes the names of the used drugs, it is also determined whether the quantity of the used drugs in the drug inventory information is less than the required quantity, and it is determined whether the brand of the used drugs in the drug inventory information is the required brand, and if the quantity of the used drugs in the drug inventory information is greater than or equal to the required quantity, and the brand of the used drugs is the required brand, it is determined that the medical service point can provide the used drugs; if the number of used medicines in the inventory medicine information is less than the required number or the brand of the used medicines is not the required brand, determining that the medical service point cannot provide the used medicines. If it is subsequently determined that the required quantity and the required brand of the used medicines cannot be provided in the plurality of medical service points, the required quantity or the required brand of the medical service points are used as the medical service points capable of providing the used medicines, and the medical service providers corresponding to the maximum quantity of the used medicines are preferentially pushed to the user without inquiring the alternative medicines for using the medicines.
S40: and if the medical service points which can provide the used medicines do not exist in the plurality of medical service points, determining the alternative medicines of the used medicines according to a preset prediction model.
After determining whether the inventory medicine information of the medical service points contains the used medicines, if no medical service point capable of providing the used medicines exists in the plurality of medical service points, the fact that the medical service points in the preset range of the user cannot provide the used medicines of the user is indicated, in order to meet the medication demand of the user, the user needs to search for the substitute medicines, at this time, the substitute medicines using the medicines are determined according to a preset prediction model, wherein the preset prediction model is a graph neural network model based on a medicine association map. In the drug association map, different drugs are linked in a knowledge map mode according to the drug effect of each drug, and an association relation is established so as to search substitutes of each drug in the following. It is to be understood that one use of a drug may correspond to a plurality of alternative drugs.
In this embodiment, the name of the medicine to be used is input into the preset prediction model, and the preset prediction model directly outputs the substitute medicine of the medicine to be used, so that the operation is convenient and fast.
S50: and determining service point recommendation information according to the alternative medicines, the stock medicine information and the position information of the medical service point, and pushing the service point recommendation information to the user.
After determining the substitute drugs of the drugs according to the preset prediction model, determining service point recommendation information according to the substitute drugs, the inventory drug information of the medical service points and the position information, and pushing the service point recommendation information to the user, so that the user can know the conditions of the medical service points around in time according to the service point recommendation information, and select a proper medical service point for purchasing the drugs according to the service point recommendation information. The service point recommendation information comprises a target medical service point and position information of the target medical service point.
The medical service point that can provide the used medicine or the substitute medicine is used as the target medical service point, and the service point recommendation information may include a plurality of target medical service points, position information corresponding to each target medical service point, contact information, and the like. In other embodiments, the used medicines may include a plurality of types, and correspondingly, the substitute medicines also include a plurality of types, when a plurality of target medical service points are included, the plurality of target medical service points need to be sorted according to the number of types of the used medicines or the substitute medicines that can be provided by each target medical service point, so as to form service point recommendation information and push the service point recommendation information to the user; alternatively, a target medical service point that can provide the most used medicine or substitute medicine among the plurality of target medical service points is set as a pushed medical service point, and service point recommendation information is generated from position information of the pushed medical service point and the like and pushed to the user. In such a way, the service point recommendation information is optimized, so that the user can browse and check quickly, the browsing real time of the user is reduced, the calculation amount is reduced, and the medicine purchasing efficiency and the medicine purchasing experience are improved.
In the embodiment, when the medical service points in the preset range of the user can not provide the medicines used by the user, the alternative medicines for the medicines are found, and the service points are recommended to the user according to the alternative medicine conditions of the medical service points, so that the labor cost of independently searching the medical service points when the medicines are purchased in different places is solved, the condition that the medicines cannot be purchased is reduced, and the medicine purchasing efficiency and the medicine purchasing experience are improved.
In addition, the embodiment reduces the inconvenience of carrying a large amount of medicines for the patient who travels in different places, can recommend a service point for purchasing medicines for the patient in time, can promote the tour willingness of the patient, particularly the patient with chronic diseases, and enables the patient to relax the mood through frequent tours to a certain extent, thereby being more beneficial to the treatment of diseases.
In one embodiment, as shown in fig. 3, after step S30, namely after determining whether there is a medical service point capable of providing a used drug in the plurality of medical service points according to the drug information stored in the plurality of medical service points, the method further includes:
s60: if there is a medical service point that can provide a used drug among the plurality of medical service points, the medical service point including the used drug is set as a target medical service point.
After determining whether a medical service point capable of providing a used medicine exists in the plurality of medical service points according to the inventory medicine information of the plurality of medical service points, if the medical service point capable of providing the used medicine exists in the plurality of medical service points, the medical service point containing the used medicine is set as a target medical service point.
S70: and generating service point recommendation information according to the used medicines, the inventory medicine information of the target medical service point and the position information, and pushing the service point recommendation information to the user.
After the point of care including the used medicine is set as the target point of care, it is necessary to generate the point of care recommendation information from the used medicine, the stock medicine information of the target point of care, and the position information.
Wherein, whether the number of the target medical service points is more than 1 needs to be determined; if the number of the target medical service points is larger than 1, determining the selling price and the number of the used medicines in the target medical service points according to the inventory medicine information of the target medical service points, and generating recommendation information of the target medical service points according to the position information and the contact way of the target medical service points and the selling price and the number of the used medicines in the target medical service points; and then determining the priority of each target medical service point according to the position information of each target medical service point and the selling price and the quantity of the used medicines in the target medical service point, finally generating service point recommendation information according to the recommendation information and the priority of each target medical service point, and pushing the service point recommendation information to the user. The recommendation information of the target medical service point includes the position information and the contact information of the target medical service point, the corresponding quantity and the selling price of the used medicines, the distance between the target medical service point and the user, the type quantity of the used medicines (the type of the used medicines needed by the user) of the target medical service point, and the comprehensive scoring information of other users on the target medical service point. The closer the target medical service point is to the user, the lower the selling price of the used medicine is, and the larger the quantity is, the higher the priority of the target medical service point is, and the higher the ranking is. The distance between the target medical service point and the user is determined by the position information of the target medical service point and the positioning information of the user.
In this embodiment, after determining whether the inventory medicine information of the medical service point contains the used medicine, if the inventory medicine information of the medical service point contains the used medicine, the medical service point containing the used medicine is used as a target medical service point, and then the service point recommendation information is generated according to the used medicine, the inventory medicine information of the target medical service point and the position information.
In an embodiment, as shown in fig. 4, after step S50 or step S70, that is, after pushing the service point recommendation information to the user, the method further includes:
s80: it is determined whether a user's navigation instruction for the target point of medical service is received.
In this embodiment, the service point recommendation information further includes a navigation option for the user to select, that is, after the user receives the service point recommendation information, when the user browses the service point recommendation information, the user may send a navigation instruction for the target medical service point to the server by selecting the navigation option corresponding to the target medical service point, so as to obtain information such as a navigation path of the target medical service point.
After the service point recommendation information is pushed to the user, the server needs to determine whether a navigation instruction of the user to the target medical service point is received, and if the navigation instruction of the user to the target medical service point is received, the navigation requirement of the user is indicated, and navigation information needs to be provided to the target medical service point; if the navigation instruction of the user to the target medical service point is not received, which indicates that the user has no navigation requirement, the navigation information does not need to be provided to the target medical service point,
s90: and if a navigation instruction of the user to the target medical service point is received, generating a navigation path according to the position information of the target medical service point and the positioning information of the user, and pushing the navigation path to the user.
After determining whether a navigation instruction of a user to the target medical service point is received or not, if the navigation instruction of the user to the target medical service point is received, a navigation path is generated according to the position information of the target medical service point and the positioning information of the user, and the navigation path is pushed to the user, so that the user can conveniently purchase medicine to the target medical service point according to the navigation path, the user experience is improved, and the user viscosity is increased.
If the navigation instruction of the user to the target medical service point is not received, the service point push information is stored after the preset time length and is stored in the service point history recommendation plate for the user to subsequently inquire, and the reminding information is sent to the user to remind the user to look up the service point push information at the corresponding position, so that the user experience is improved, and the user stickiness is increased.
In this embodiment, after the service point recommendation information is pushed to the user, whether a navigation instruction of the user to the target medical service point is received needs to be determined, if the navigation instruction of the user to the target medical service point is received, a navigation path is generated according to the position information of the target medical service point and the positioning information of the user, the navigation path is pushed to the user, the navigation path corresponding to the target medical service point is provided for the user according to the navigation requirement of the user, the time for the user to search for the path is reduced, and the medicine purchasing efficiency and the medicine purchasing experience of the user are improved.
In an embodiment, as shown in fig. 5, in step S50, the determining service point recommendation information according to the substitute drugs, the inventory drug information of the medical service point, and the location information specifically includes the following steps:
s51: it is determined whether a substitute drug is included in the inventory drug information for the point of care.
After determining to use a substitute drug for a drug, it is necessary to determine whether the substitute drug is included in the inventory drug information of the point of care.
S52: and if the stock medicine information of the medical service point contains the substitute medicine, taking the medical service point containing the substitute medicine as a target medical service point, and generating service point recommendation information according to the substitute medicine, the stock medicine information of the target medical service point and the position information.
After determining whether the stock drug information of the medical service point contains the substitute drug, if the stock drug information of the medical service point contains the substitute drug, the medical service point containing the substitute drug is taken as a target medical service point, and service point recommendation information is generated according to the substitute drug, the stock drug information of the target medical service point and the position information.
S53: if the stock medicine information of the medical service point does not contain the substitute medicine, sending prompt information to the user, and determining whether the search range of the medical service point needs to be expanded or not.
After determining whether the stock drug information of the medical service point contains the substitute drug, if the stock drug information of the medical service point contains the substitute drug, sending a prompt message to a user to prompt that the used drug or the substitute drug cannot be purchased within the preset range, needing to expand the search range of the medical service point, and sending a confirmation message to the user to confirm whether the search range of the medical service point needs to be expanded, so as to inquire whether the medical service point containing the used drug or the substitute drug exists within a larger range.
In this embodiment, by determining whether the stock drug information of the healthcare point contains a substitute drug, if the stock drug information of the healthcare point contains a substitute drug, the medical service point containing the substitute drugs is taken as a target medical service point, service point recommendation information is generated according to the substitute drugs, the stock drug information and the position information of the target medical service point, if the stock drug information of the medical service point does not contain the substitute drugs, sending prompt information to the user and determining whether the search range of the medical service point needs to be expanded or not to the user, detailing the steps of determining service point recommendation information based on the substitute drugs, the inventory drug information of the medical service point and the location information, when the medicine and the substitute medicine are used by the nearby medical service point, the user is prompted to expand the search range, the user experience is improved, and the possibility that the user cannot purchase the medicine is reduced.
In an embodiment, as shown in fig. 6, in step S52, generating service point recommendation information according to the substitute drugs, the inventory drug information of the target medical service point, and the location information includes the following steps:
s521: and determining the selling price and the quantity of the substitute medicines in the target medical service point according to the inventory medicine information of the target medical service point.
After determining that the stock drug information of the medical service point contains the substitute drugs, the selling price and the quantity of the substitute drugs in the target medical service point need to be determined according to the stock drug information of the target medical service point.
S522: it is determined whether the number of target medical service points is greater than 1.
After determining the selling price and the number of the substitute medicines in the target point of care, it is also necessary to determine whether the number of the target point of care is greater than 1.
S523: and if the number of the target medical service points is more than 1, determining the priority of each target medical service point according to the position information of each target medical service point and the selling price and the number of the substituted medicines in the target medical service points.
After determining whether the number of the target medical service points is greater than 1, if the number of the target medical service points is greater than 1, indicating that a plurality of target medical service points meeting the requirements exist in the preset range of the user, determining the priority of sequencing of each target medical service point according to the position information of each target medical service point and the selling price and the number of the substituted medicines in the target medical service points. The closer the target medical service point is to the user, the lower the selling price of the substitute medicines is, and the larger the quantity is, the higher the priority of the target medical service point is, and the higher the ranking is. The distance between the target medical service point and the user is determined according to the position information of the target medical service point and the positioning information of the user.
After determining whether the number of the target medical service points is larger than 1, if the number of the target medical service points is equal to 1, the situation that only one target medical service point meeting the requirement exists in the preset range of the user is shown, generating service point recommendation information according to the position information, the contact information and the selling price and the number of the substitute medicines in the target medical service points, and pushing the service point recommendation information to the user.
S524: and generating service point recommendation information according to the priority, the position information and the contact way of the target medical service point and the selling price and the quantity of the substitute medicines in the target medical service point.
After the priority of each target medical service point is determined, service point recommendation information is generated according to the priority, the position information and the contact way of the target medical service points and the selling price and the quantity of the substitute medicines in the target medical service points. In the service point recommending letter, the information such as the position information, the contact way, the selling price and the quantity of the substitute medicines and the like are correspondingly displayed after each target medical service point according to the priority arrangement of the target medical service points.
In this embodiment, the selling price and the quantity of the substitute drugs in the target medical service point are determined according to the inventory drug information of the target medical service point, then whether the quantity of the target medical service point is greater than 1 is determined, and if the quantity of the target medical service point is greater than 1, the priority of each target medical service point is determined according to the position information of each target medical service point and the selling price and the quantity of the substitute drugs in the target medical service point; then generating service point recommendation information according to the priority, the position information and the contact way of the target medical service point and the selling price and the quantity of the substitute medicines in the target medical service point; and finally, generating service point recommendation information according to the recommendation information and the priority of each target medical service point, defining the specific process of generating the service point recommendation information according to the alternative medicines, the stock medicine information and the position information of the target medical service points, and determining the priority of each target medical service point according to the position information of each target medical service point and the selling price and the quantity of the alternative medicines in the target medical service points when a plurality of target medical service points exist, so that the service point recommendation information is generated, a user can conveniently browse, the target medical service point with the optimal position and/or the optimal price can be quickly obtained, and the user experience is improved.
In an embodiment, as shown in fig. 7, in step S40, the determining a substitute drug for the drug to be used according to the preset prediction model specifically includes the following steps:
s41: and inputting the name of the medicine used in the preset prediction model to obtain the name of the medicine output by the preset prediction model as the medicine to be determined.
After determining whether the inventory medicine information of the medical service points contains the used medicines, if no medical service points capable of providing the used medicines exist in the plurality of medical service points, the fact that the medical service points in the preset range of the user cannot provide the used medicines of the user is indicated, in order to meet the medication demand of the user, the user needs to search for the substitute medicines, the names of the medicines using the medicines are input into a preset prediction model, and the names of the medicines output by the preset prediction model are obtained and serve as the medicines to be determined.
S42: and obtaining the evaluation information of the medicine to be determined of other users, wherein the evaluation information comprises the curative effect information of the medicine to be determined of the patient.
After the medicine to be determined output by the preset prediction model is obtained, evaluation information of the medicine to be determined by other users needs to be obtained.
Wherein, the evaluation information comprises the curative effect information of the patient to the determined medicine. The user in this embodiment may not be a patient, but a person who is related to purchasing a medicine for the patient, wherein the evaluation information may be acquired as follows:
after a user receives service point recommendation information sent by a server and determines that the user purchases corresponding medicines (including used medicines and alternative medicines), the user needs to be regularly prompted to upload the use condition of the corresponding medicines taken by a patient so as to evaluate the curative effect of the corresponding medicines, and thus, evaluation information of different users on the corresponding medicines is obtained.
S43: and determining whether the curative effect of the medicine to be determined meets the preset requirement or not according to the evaluation information.
After obtaining the evaluation information of the medicine to be determined by other users, determining whether the curative effect of the medicine to be determined meets the preset requirement according to the evaluation information of the medicine to be determined by other users. The preset requirement is the curative effect requirement of the server on different medicines set according to actual requirements, for example, according to evaluation information of a medicine to be determined by other users, the curative effect score of the medicine to be determined is determined to be low, if the curative effect score is lower than a certain threshold value, the curative effect of the medicine to be determined does not meet the preset requirement, otherwise, the curative effect of the medicine to be determined meets the preset requirement; or determining that the poor evaluation proportion exceeds a certain threshold value according to the evaluation information of the to-be-determined medicine of other users, and determining that the curative effect of the to-be-determined medicine does not meet the preset requirement; otherwise, determining that the curative effect of the medicine to be determined meets the preset requirement.
S44: and if the curative effect of the medicine to be determined meets the preset requirement, taking the medicine to be determined as a substitute medicine of the used medicine.
After whether the curative effect of the to-be-determined medicine meets the preset requirement or not is determined according to the evaluation information, if the curative effect of the to-be-determined medicine meets the preset requirement, the curative effect of the to-be-determined medicine is better, and the to-be-determined medicine can be used as a substitute medicine of the used medicine, so that the medication safety of a patient is ensured, and the medicine purchasing experience of a user is improved.
After whether the curative effect of the to-be-determined medicine meets the preset requirement or not is determined according to the evaluation information, if the curative effect of the to-be-determined medicine does not meet the preset requirement, the to-be-determined medicine is poor in curative effect and is not recommended to be used as a substitute medicine for using the medicine, the to-be-determined medicine is not used as the substitute medicine for using the medicine, if a plurality of to-be-determined medicines output by the preset prediction model exist, the next to-be-determined medicine is continuously determined until the substitute medicine for using the medicine is found, or until the determination of all the to-be-determined medicines output by the preset prediction model is finished.
In the embodiment, the name of the medicine using the medicine is input into the preset prediction model to obtain the name of the medicine output by the preset prediction model as the medicine to be determined; then obtaining the evaluation information of the medicine to be determined of other users, wherein the evaluation information comprises the curative effect information of the medicine to be determined of the patient; determining whether the curative effect of the drug to be determined meets the preset requirement or not according to the evaluation information; if the curative effect of the to-be-determined medicine meets the preset requirement, the to-be-determined medicine is used as a substitute medicine for the used medicine, the specific step of determining the substitute medicine for the used medicine according to the preset prediction model is defined, and when the curative effect of the substitute medicine meets the requirement, the to-be-determined medicine can be recommended as the substitute medicine for the used medicine, so that the curative effect of the recommended medicine is ensured, the health of a user is further ensured, and the user experience is improved.
In an embodiment, as shown in fig. 8, in step S10, the determining the medicine requirement information of the user specifically includes the following steps:
s11: and acquiring the positioning information of the user, and determining whether the user is in the standing area or not according to the positioning information of the user.
The positioning information of the user can be that when the user opens a corresponding application program (APP) on the terminal device, the message recommendation device directly acquires the positioning information of the user by using a positioning system; the user's location information may be location information manually set by the user. After the positioning information of the user is obtained, it is necessary to determine whether the user is in the standing area according to the positioning information of the user.
After determining whether the user is in the standing area according to the positioning information of the user, if it is determined that the user is in the standing area, it is not necessary to actively provide the relevant push service of the medical service point to the user, and only when the user sends a recommendation request to the server, the message push method in this embodiment is executed again to provide the relevant push service of the medical service point to the user.
S12: and if the user is not in the living area, acquiring disease related information of the user, wherein the disease related information comprises the disease information, diagnosis and treatment records and medication records of the user.
After determining whether the user is in the living area according to the positioning information of the user, if the user is not in the living area, the user is in a different place, and in order to ensure the physical health and safety of the user, the disease related information of the user is directly and automatically acquired, so that the recommendation of the related medical service points is carried out according to the disease related information of the user. The disease-related information may be manually uploaded by a user, or may be generated according to a user usage record when the user uses an application program, and the disease-related information includes disease information, diagnosis and treatment records and medication records of the user.
S13: determining the medicine required by the user according to the disease information, the diagnosis and treatment record and the medication record, and generating medicine demand information according to the medicine required by the user.
After disease related information such as disease information, diagnosis and treatment records and medication records of a user is acquired, drugs required by the user are determined according to the disease information, the diagnosis and treatment records and the medication records, and drug requirement information is generated according to the drugs required by the user.
The server can collect and store the commonly used medicines correspondingly used by various diseases in the block chain database, and after the disease related information of the user is obtained, if the disease related information of the user enters the disease information of the user, the corresponding commonly used medicines are matched in the block chain database according to the disease information and serve as the medicines required by the user.
After acquiring the disease-related information of the user, if the diagnosis and treatment record and/or the medication record are obtained, extracting related medicine information from the latest N times of diagnosis and treatment records and/or medication records to be used as the medicine required by the user.
After acquiring the disease related information of a user, if the disease related information at least comprises three types of information of the disease information, diagnosis and treatment records and medication records of the user, matching corresponding common medicines in a block chain database according to the disease information to serve as a first type of medicines; then extracting related medicine information from the diagnosis and treatment record and the medication record to serve as a second type of medicine; taking the intersection of the first type of medicine and the second type of medicine as the medicine required by the user, thereby forming medicine demand information and improving the accuracy of the medicine demand information; or, a union of the first type of medicine and the second type of medicine is taken as the medicine required by the user, so that medicine demand information is formed, the diversity of the medicine demand information is ensured, and the condition that the medicine demand information does not meet the user demand is reduced.
In the embodiment, whether the user is in the standing area or not is determined by acquiring the positioning information of the user according to the positioning information of the user; if the user is not in the living area, acquiring disease related information of the user, wherein the disease related information comprises the disease information, diagnosis and treatment records and medication records of the user; and then according to the disease information, the diagnosis and treatment record and the medication record, determining the medicine required by the user, and generating the medicine demand information according to the medicine required by the user, so that the specific process of determining the medicine demand information of the user is clarified, and when the change of the user location is detected, the medicine demand information is automatically generated according to the past disease related information of the user, so that the inquiry of related medical service points is performed according to the medicine demand information in the following process, the manual operation of the user is not needed, the determination efficiency of the medicine demand information is improved, and the medicine purchasing efficiency and the medicine purchasing experience of the user are improved.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In an embodiment, a message pushing apparatus is provided, where the message pushing apparatus corresponds to the message pushing method in the foregoing embodiments one to one. As shown in fig. 9, the message pushing apparatus includes a module a, a module B, a module C, and a module D. The functional modules are explained in detail as follows:
a first determining module 901, configured to determine medicine demand information of a user, where the medicine demand information includes a medicine required by the user;
a second determining module 902, configured to determine, according to the positioning information of the user, a medical service point within a preset range of the user, and obtain inventory medicine information and location information of the medical service point, where the medical service point includes a medical institution and a pharmacy;
a third determining module 903, configured to determine whether the inventory drug information of the healthcare point includes a used drug;
a fourth determining module 904, configured to determine, according to a preset prediction model, a substitute drug for a drug to be used if the inventory drug information of the medical service point does not include the drug to be used, where the preset prediction model is a graph neural network model based on a drug association map;
a fifth determining module 905, configured to determine service point recommendation information according to the alternative drugs, the inventory drug information of the medical service point, and the location information, and push the service point recommendation information to the user, where the service point recommendation information includes the target medical service point and the location information of the target medical service point.
Further, the message pushing apparatus further includes a sixth determining module 906, and after determining whether a healthcare point capable of providing a used drug exists in the plurality of healthcare points according to the inventory drug information of the plurality of healthcare points, the sixth determining module 906 is specifically configured to:
if the medical service points capable of providing the used medicines exist in the plurality of medical service points, the medical service points containing the used medicines are used as target medical service points;
and generating service point recommendation information according to the used medicines, the inventory medicine information of the target medical service point and the position information, and pushing the service point recommendation information to the user.
Further, the message pushing apparatus further includes a navigation module 907, and after pushing the service point recommendation information to the user, the navigation module 907 is specifically configured to:
determining whether a navigation instruction of a user to a target medical service point is received;
and if a navigation instruction of the user to the target medical service point is received, generating a navigation path according to the position information of the target medical service point and the positioning information of the user, and pushing the navigation path to the user.
Further, the fifth determining module 905 is specifically configured to:
determining whether the stock medicine information of the medical service point contains a substitute medicine;
if the stock medicine information of the medical service point contains the substitute medicine, taking the medical service point containing the substitute medicine as a target medical service point, and generating service point recommendation information according to the substitute medicine, the stock medicine information of the target medical service point and the position information;
if the stock medicine information of the medical service point does not contain the substitute medicine, sending prompt information to the user, and determining whether the search range of the medical service point needs to be expanded or not.
Further, the fifth determining module 905 is specifically further configured to:
determining the selling price and the quantity of the substitute medicines in the target medical service point according to the inventory medicine information of the target medical service point;
determining whether the number of target medical service points is greater than 1;
if the number of the target medical service points is more than 1, determining the priority of each target medical service point according to the position information of each target medical service point and the selling price and the number of the substitute medicines in the target medical service points;
and generating service point recommendation information according to the priority, the position information and the contact way of each target medical service point and the selling price and the quantity of the substitute medicines in the target medical service points.
Further, the fourth determining module 904 is specifically configured to:
inputting the name of the medicine to be used into a preset prediction model to obtain the name of the medicine output by the preset prediction model as the medicine to be determined;
acquiring evaluation information of the medicine to be determined of other users, wherein the evaluation information comprises curative effect information of the medicine to be determined of a patient;
determining whether the curative effect of the medicine to be determined meets the preset requirement or not according to the evaluation information;
and if the curative effect of the medicine to be determined meets the preset requirement, taking the medicine to be determined as a substitute medicine of the used medicine.
Further, the first determining module 901 is specifically configured to:
acquiring positioning information of a user, and determining whether the user is in a living area according to the positioning information of the user;
if the user is not in the living area, acquiring disease related information of the user, wherein the disease related information comprises the disease information, diagnosis and treatment records and medication records of the user;
determining the medicine required by the user according to the disease information, the diagnosis and treatment record and the medication record, and generating medicine demand information according to the medicine required by the user.
For specific definition of the message pushing device, refer to the above definition of the message pushing method, which is not described herein again. The modules in the message pushing device can be wholly or partially implemented 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. 10. The computer device includes a processor, a memory, a network interface, and a database 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 comprises a nonvolatile 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 operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is a block chain database and is used for storing relevant data of message pushing methods such as medical service points and preset prediction models in various places. 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 a processor to implement a message push method.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
determining medicine demand information of a user, wherein the medicine demand information comprises medicines required by the user;
determining a medical service point within a preset range of a user according to positioning information of the user, and acquiring inventory medicine information and position information of the medical service point, wherein the medical service point comprises a medical institution and a pharmacy;
determining whether the inventory medicine information of the medical service point contains a used medicine;
if the inventory medicine information of the medical service point does not contain the used medicine, determining a substitute medicine of the used medicine according to a preset prediction model, wherein the preset prediction model is a graph neural network model based on a medicine association map;
and determining service point recommendation information according to the alternative medicines, the inventory medicine information and the position information of the medical service points, and pushing the service point recommendation information to the user, wherein the service point recommendation information comprises the target medical service points and the position information of the target medical service points.
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:
determining medicine demand information of a user, wherein the medicine demand information comprises medicines required by the user;
determining a medical service point within a preset range of a user according to positioning information of the user, and acquiring inventory medicine information and position information of the medical service point, wherein the medical service point comprises a medical institution and a pharmacy;
determining whether the inventory medicine information of the medical service point contains a used medicine;
if the inventory medicine information of the medical service point does not contain the used medicine, determining a substitute medicine of the used medicine according to a preset prediction model, wherein the preset prediction model is a graph neural network model based on a medicine association map;
and determining service point recommendation information according to the alternative medicines, the inventory medicine information and the position information of the medical service points, and pushing the service point recommendation information to the user, wherein the service point recommendation information comprises the target medical service points and the position information of the target medical service points.
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 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, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims (10)

1. An information pushing method based on medical service is characterized by comprising the following steps:
determining medicine demand information of a user, wherein the medicine demand information comprises medicines required by the user to use;
determining a plurality of medical service points in a preset range of the user according to the positioning information of the user, and acquiring inventory medicine information and position information of the medical service points, wherein the medical service points comprise medical institutions and drug stores;
determining whether a medical service point providing the used medicine exists in a plurality of medical service points according to the inventory medicine information of the plurality of medical service points;
if no medical service point capable of providing the used medicine exists in the plurality of medical service points, determining a substitute medicine of the used medicine according to a preset prediction model, wherein the preset prediction model is a graph neural network model based on a medicine association map;
and determining service point recommendation information according to the substitute drugs, the inventory drug information of the medical service points and the position information, and pushing the service point recommendation information to the user, wherein the service point recommendation information comprises a target medical service point and the position information of the target medical service point.
2. The healthcare-based information push method according to claim 1, wherein after determining whether there is a healthcare point capable of providing the used drug among the plurality of healthcare points based on inventory drug information of the plurality of healthcare points, the method further comprises:
if a medical service point capable of providing the used medicine exists in the plurality of medical service points, taking the medical service point containing the used medicine as the target medical service point;
and generating service point recommendation information according to the used medicines, the inventory medicine information and the position information of the target medical service point, and pushing the service point recommendation information to the user.
3. The healthcare-based information pushing method according to claim 1, wherein after the pushing of the service point recommendation information to the user, the method further comprises:
determining whether a navigation instruction of the user to the target medical service point is received;
and if a navigation instruction of the user to the target medical service point is received, generating a navigation path according to the position information of the target medical service point and the positioning information of the user, and pushing the navigation path to the user.
4. The healthcare-based information push method according to claim 1, wherein the determining service point recommendation information according to the substitute drugs, the inventory drug information of the healthcare point, and the location information comprises:
determining whether the substitute drug is included in the inventory drug information of the point of care;
if the stock drug information of the medical service point contains the substitute drug, taking the medical service point containing the substitute drug as the target medical service point, and generating service point recommendation information according to the substitute drug, the stock drug information of the target medical service point and the position information;
if the drug information in stock of the medical service point does not contain the substitute drug, sending prompt information to the user, and determining whether the search range of the medical service point needs to be expanded or not to the user.
5. The healthcare-based information push method according to claim 4, wherein the generating the service point recommendation information according to the substitute drug, the inventory drug information of the target healthcare point, and the location information includes:
according to the inventory medicine information of the target medical service point, determining the selling price and the quantity of the substitute medicines in the target medical service point;
determining whether the number of the target medical service points is greater than 1;
if the number of the target medical service points is more than 1, determining the priority of each target medical service point according to the position information of each target medical service point and the selling price and the number of the alternative medicines in the target medical service points;
and generating the service point recommendation information according to the priority, the position information and the contact way of each target medical service point and the selling price and the quantity of the substitute medicines in the target medical service points.
6. The healthcare-based information push method according to any one of claims 1 to 5, wherein the determining of the substitute drug for the drug to be used according to a preset predictive model includes:
inputting the name of the medicine used into the preset prediction model to obtain the name of the medicine output by the preset prediction model as the medicine to be determined;
obtaining evaluation information of other users on the medicine to be determined, wherein the evaluation information comprises curative effect information of a patient on the medicine to be determined;
determining whether the curative effect of the medicine to be determined meets a preset requirement or not according to the evaluation information;
and if the curative effect of the medicine to be determined meets the preset requirement, taking the medicine to be determined as a substitute medicine of the used medicine.
7. The healthcare-based information push method according to any one of claims 1 to 5, wherein the determining the drug requirement information of the user includes:
acquiring the positioning information of the user, and determining whether the user is in a standing area according to the positioning information of the user;
if the user is not in the living area, acquiring disease related information of the user, wherein the disease related information comprises the disease information, diagnosis and treatment records and medication records of the user;
determining the medicine required by the user according to the disease information, the diagnosis and treatment record and the medication record, and generating the medicine demand information according to the medicine required by the user.
8. An information pushing device based on medical service is characterized by comprising:
the system comprises a first determination module, a second determination module and a third determination module, wherein the first determination module is used for determining medicine demand information of a user, and the medicine demand information comprises a medicine required by the user;
the second determination module is used for determining a medical service point within the preset range of the user according to the positioning information of the user and acquiring the inventory medicine information and the position information of the medical service point, wherein the medical service point comprises a medical institution and a pharmacy;
a third determining module, configured to determine whether the used drug is included in the drug information in stock at the healthcare point;
a fourth determining module, configured to determine, if the used drug is not included in the inventory drug information of the healthcare point, a substitute drug for the used drug according to a preset prediction model, where the preset prediction model is a graph neural network model based on a drug association map;
and the fifth determining module is used for determining service point recommendation information according to the substitute medicines, the inventory medicine information of the medical service points and the position information, and pushing the service point recommendation information to the user, wherein the service point recommendation information comprises a target medical service point and the position information of the target medical service point.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the medical service-based information pushing method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, which stores a computer program, wherein the computer program, when being executed by a processor, implements the steps of the medical service-based information pushing method according to any one of claims 1 to 7.
CN202110983612.7A 2021-08-25 2021-08-25 Information pushing method, device, equipment and storage medium based on medical service Pending CN113688329A (en)

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WO2020206463A1 (en) * 2019-04-05 2020-10-08 Trulla, LLC Pharmaceutical procurement and inventory management
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CN113284577A (en) * 2021-05-24 2021-08-20 康键信息技术（深圳）有限公司 Medicine prediction method, device, equipment and storage medium

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CN102521774A (en) * 2011-12-29 2012-06-27 重庆大学 Medicine shopping-guide intelligent service system
WO2020206463A1 (en) * 2019-04-05 2020-10-08 Trulla, LLC Pharmaceutical procurement and inventory management
CN110245217A (en) * 2019-06-17 2019-09-17 京东方科技集团股份有限公司 A kind of drug recommended method, device and electronic equipment
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