WO2020103469A1

WO2020103469A1 - Method and device for establishing medical mapping database, computer apparatus, and storage medium

Info

Publication number: WO2020103469A1
Application number: PCT/CN2019/095285
Authority: WO
Inventors: 王孙烨初; 李彦辰
Original assignee: 平安医疗健康管理股份有限公司
Priority date: 2018-05-29
Filing date: 2019-07-09
Publication date: 2020-05-28
Also published as: CN109215771A; CN109215771B

Abstract

A method for establishing a medical mapping database, comprising: obtaining a preclassified disease group, and extracting corresponding standard disease data from the disease group (S202); searching for standard drug data corresponding to the standard disease data (S204); establishing a mapping between the standard drug data and the disease group to which the corresponding standard disease data belongs (S206); and extracting standard drug data corresponding to the same disease group to serve as a drug group, and associating the generated drug group with the disease group corresponding to the drug group and storing the same to obtain a medical mapping database (S208).

Description

Method, device, computer equipment and storage medium for establishing medical mapping relation database

Cross-reference of related applications

This application requires priority to be submitted to the Chinese Patent Office on November 22, 2018, with the application number 2018113996998 and the priority of the Chinese patent application titled "Methods, Devices, Computer Equipment, and Storage Media for Establishing a Medical Mapping Relational Database", all of its contents Incorporated by reference in this application.

Technical field

The present application relates to a method, device, computer equipment and storage medium for establishing a medical mapping relationship database.

Background technique

With the development of computer technology, online monitoring of medical behaviors has become more and more widely used. Therefore, there is an urgent need for the establishment of various types of online medical databases.

The inventor realizes that currently established medical databases often need to manually search for the corresponding data, and then establish corresponding databases containing the corresponding disease names and corresponding pathological manifestations. Manually establishing a large amount of data needs to be processed, which results in low efficiency.

Summary of the invention

According to various embodiments disclosed in the present application, a method, apparatus, computer equipment, and storage medium for establishing a medical mapping relationship are provided.

A method for establishing a medical mapping relationship database includes:

Obtain the classified disease group, and extract the corresponding standard disease data in the disease group;

Query the standard drug data corresponding to the standard disease data;

Establish a mapping relationship between the standard drug data and the disease group to which the standard disease data belongs; and

Extract the standard drug data with the same disease group as the drug group, and store the generated drug group and the disease group corresponding to the drug group in association to obtain a medical mapping relationship database.

A device for establishing a medical mapping relationship database includes:

An extraction module, used to obtain the classified disease group and extract corresponding standard disease data in the disease group;

The query module is used to query the standard drug data corresponding to the standard disease data;

Establishing a module for establishing a mapping relationship between the standard drug data and the disease group to which the standard disease data belongs; and

The storage module is used for extracting the standard medicine data with the same disease group as the medicine group, and associatively storing the generated medicine group and the disease group corresponding to the medicine group to obtain a medical mapping relationship database.

A computer device includes a memory and one or more processors. The memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, the one or more processors are executed The following steps: obtain the classified disease group, and extract the corresponding standard disease data in the disease group; query the standard drug data corresponding to the standard disease data; the standard drug data and the disease to which the standard disease data belongs The group establishes a mapping relationship; and extracts the same standard drug data of the disease group as a drug group, and stores the generated drug group and the disease group corresponding to the drug group in association to obtain a medical mapping relationship database.

One or more non-volatile computer-readable storage media storing computer-readable instructions. When the computer-readable instructions are executed by one or more processors, cause the one or more processors to perform the following steps: obtain the classified Disease group, and extract the corresponding standard disease data in the disease group; query the standard drug data corresponding to the standard disease data; establish a mapping relationship between the standard drug data and the disease group to which the standard disease data belongs; and extract The standard drug data with the same disease group is used as a drug group, and the generated drug group and the disease group corresponding to the drug group are stored in association to obtain a medical mapping relationship database.

The details of one or more embodiments of the application are set forth in the drawings and description below. Other features and advantages of this application will become apparent from the description, drawings, and claims.

BRIEF DESCRIPTION

In order to more clearly explain the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. Those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.

FIG. 1 is an application scenario diagram of a method for establishing a medical mapping relationship database according to one or more embodiments.

FIG. 2 is a schematic flowchart of a method for establishing a medical mapping relationship database according to one or more embodiments.

FIG. 3 is a schematic flowchart of the optimization steps of the medical mapping relationship database according to one or more embodiments.

4 is a block diagram of an apparatus for establishing a medical mapping relationship database according to one or more embodiments.

Figure 5 is a block diagram of a computer device in accordance with one or more embodiments.

detailed description

In order to make the technical solutions and advantages of the present application more clear, the following describes the present application in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

The method for establishing a medical mapping relationship database provided in this application can be applied to the application environment shown in FIG. 1. The server can control the medical database and the medical mapping relationship database. The established disease group can be included in the medical database. The server obtains the classified disease group from the medical database and extracts the corresponding standard disease data in the disease group. The standard disease data query the standard drug data, establish a mapping relationship between the standard drug data and the disease group to which the standard disease data belongs, extract the standard drug data corresponding to the same disease group as the drug group, and store the drug group and the disease group in association to obtain medical treatment Mapping relationship library. The server can be implemented by an independent server or a server cluster composed of multiple servers.

In one of the embodiments, as shown in FIG. 2, a method for establishing a medical mapping relationship database is provided. The method is applied to the server in FIG. 1 as an example for illustration, including the following steps:

S202: Obtain the classified disease group, and extract the corresponding standard disease data in the disease group.

Specifically, a disease group refers to a group containing corresponding disease data, symptom data corresponding to the disease data, and the cost of treating the disease corresponding to the disease data, and the disease data included in a disease group are diseases with the same keyword The data, or the disease data in a disease group, the corresponding international disease classification codes have specific identical coding bits, for example, the international disease classification codes having the same first three digits. And the cost of the disease corresponding to the treatment and disease data contained in a disease group is within the preset cost range. The standard disease data refers to the disease data included in the disease group. The standard disease data has the internationally common name and the international disease classification code, and the standard disease data in the same disease group have the same name keywords, or the corresponding international Disease classification codes have the same coding bits. Specifically, a medical database is preset in the server, and the corresponding disease group is stored in the medical database. The server obtains the classified disease group from the medical database, and extracts the criteria stored in the disease group from the acquired disease group Disease data. The medical database refers to a database storing different disease groups, that is, a database storing different standard disease data.

S204: Query the standard drug data corresponding to the standard disease data.

Specifically, the standard drug data refers to the drugs applicable to the symptoms of the standard disease data, and the standard drug data may be the drug name, drug usage, etc. Specifically, the server obtains different disease groups, extracts standard disease data from the obtained disease groups, and then, according to the standard disease data in the obtained disease groups, then queries the medicines for the symptoms of the standard disease data according to the standard disease data , The server uses the queried medicine as standard medicine data. For example, the server obtains the disease group 1, and the disease data extracted from the disease group 1 are disease A and disease B. The medicines applicable to querying disease A are medicine a1 and medicine a2, and the medicines used by disease B are medicine b1 , Medicine b2 and medicine b3, then medicine a1, medicine a2, medicine b1, medicine b2 and medicine b3 are used as standard medicine data.

S206: Establish a mapping relationship between the standard drug data and the disease group to which the standard disease data belongs.

Specifically, the server queries the standard disease data in the disease group according to the obtained disease group, and queries the corresponding standard drug data according to the standard disease data, and compares the queried standard drug data and the disease group to which the corresponding standard disease data belongs Correlate and establish the corresponding mapping relationship, that is, the drug data is associated with the disease group to which the corresponding standard disease data belongs, and the related drug data can be queried through the disease group. For example, as in the above method, the standard medicine data queried are medicine a1, medicine a2, medicine b1, medicine b2, and medicine b3. Medicine a1 and medicine a2 correspond to disease A, medicine b2, medicine b2, and medicine b3. Is disease B, and the disease group to which disease A and disease B belong is disease group 1, then drug a1, drug a2, drug b1, drug b2, and drug b3 are associated with disease group 1, that is, a mapping relationship is established.

S208: Extract the same standard drug data of the disease group as the drug group, and store the generated drug group and the disease group corresponding to the drug group in association to obtain a medical mapping relationship database.

Specifically, the drug group refers to a group in which standard drug data is stored, and the standard drug data stored in the drug group is similar drug data, that is, the diseases treated by the standard drug data stored in a drug group have the same name. word. The medical mapping relationship database refers to a database in which the corresponding drug groups and disease groups are stored, and the disease groups and drug groups stored in the medical mapping relationship database are related to each other, that is, the disease groups can correspond to the drug groups. Specifically, the server establishes a mapping relationship between the standard drug data and the disease group, that is, after the standard drug data is associated with the disease group, the standard drug data associated with the same disease group is extracted as a drug group, that is, the drug group and the disease group Correspondingly, the drug group and the disease group obtained the corresponding relationship are stored in association, and the medical mapping relationship database is obtained. For example, in the above step, when the drug a1, the drug a2, the drug b1, the drug b2, and the drug b3 are associated with the disease group 1 to establish a mapping relationship, the drug a1, the drug a2, the drug b1, the drug b2, and the drug b3 correspond to The same disease group 1, and then the drug a1, drug a2, drug b1, drug b2 and drug b3 as a drug group, that is, as the drug group 1, in this case, the disease group 1 and the drug group 1 are associated and stored to obtain a medical map Relation library.

In the above method for establishing a medical mapping relationship database, the server can obtain the standard drug data according to the classified disease data, and then establish a mapping relationship between the standard drug data and the disease group to which the corresponding disease data belongs, and then the drugs corresponding to the same disease group The data is used as a drug group, and the disease group corresponding to the drug group is stored in association to obtain a medical mapping relationship database. The entire process does not require manual data query, that is, there is no need to manually process a large amount of data, thereby improving the efficiency of establishing the medical mapping relationship database.

In one of the embodiments, please refer to FIG. 3, which provides a schematic diagram of a medical mapping relationship library optimization step. The medical mapping relationship library optimization step, that is, extract the same standard drug data of the disease group as the drug group, and generate the generated drug group And after the association of the disease group corresponding to the drug group is stored and the medical mapping relationship library is obtained, it may include: judging whether the disease group corresponding to the same standard drug data is the same; when the disease group corresponding to the same standard drug data is different, displaying the standard drug Prompt information with the same data and different mapping relationship between disease groups receives a cancellation instruction corresponding to the prompt information to cancel the mapping relationship between the standard drug data and the disease group; delete the mapping relationship between the standard drug data and the disease group according to the cancellation instruction.

Specifically, the cancellation instruction is an instruction instructing the server to cancel the mapping relationship between the disease group and the corresponding standard drug data. Specifically, the established medical mapping relationship database needs to be optimized, and since the medical mapping relationship database can be applied to find the corresponding disease data according to the corresponding drug data, and then calculate the corresponding disease according to the cost corresponding to the disease data For the accuracy of calculation, the same standard drug data should avoid correspondence with multiple disease groups. The server judges whether the disease groups corresponding to the same standard drug data are the same according to the established medical mapping relationship database. The server may query the disease groups associated with the standard drug data. At the same time, that is, there are multiple disease groups corresponding to the standard drug data, the corresponding prompt information can be displayed on the display interface corresponding to the server, and the disease group corresponding to the standard drug data can be displayed. The user can select the standard that needs to cancel the mapping relationship The medicine data and the disease group generate corresponding cancellation instructions according to the user's selection, and the server deletes the mapping relationship between the standard medicine data corresponding to the cancellation instruction and the disease group according to the received cancellation instruction to complete the medical mapping relationship database optimization.

For example, when the establishment of the medical mapping relationship database is completed, the server queries the standard medicine data one by one. If the disease group corresponding to the standard medicine data a is found to be the disease group 1 and the disease group 2, the corresponding information is displayed on the display interface of the server Prompt information, such as "There are multiple mapping relationships, delete them", and the corresponding two sets of mapping relationships are also displayed correspondingly. According to the prompt information, if the user selects Yes, the corresponding mapping relationship needs to be deleted, which can be The input deletes only one set of mapping relationships, or both sets of mapping relationships can be deleted. For example, the user input deletes the mapping relationship between the standard drug data a and the disease group 1, and the standard drug data a and the disease group 2 have been deleted. Then, according to the user's input, a corresponding cancellation instruction is generated, and the server receives the cancellation instruction, and deletes the mapping relationship between the standard drug data a and the disease group 1 and the disease group 2 in the medical mapping relationship database.

It should be noted that the server can determine whether the disease groups corresponding to the same standard drug data are the same. When the disease groups corresponding to the same standard drug data are different, the mapping between all the standard drug data and the disease group is automatically canceled directly. Relationship, that is, can be automatically optimized to improve optimization efficiency.

In this embodiment, the server may further optimize the established medical mapping relationship database and establish corresponding mapping relationships as needed, thereby improving the accuracy and applicability of establishing the medical mapping relationship database.

In one of the embodiments, extracting the standard medicine data of the same disease group as the medicine group, and associatively storing the generated medicine group and the disease group corresponding to the medicine group to obtain the medical mapping relationship database, the method may further include: acquiring the medical mapping relationship database The medicine group contains the quantity of standard medicine data; when the quantity exceeds the preset value, the standard medicine data whose quantity exceeds the preset value is extracted as the medicine data to be queried; the medicine mapping relation database is used to query the medicine to be queried corresponding to the medicine data to be queried Disease data; extract the medicine data to be queried corresponding to the same disease data to be queried as the updated medicine data, and generate the updated medicine group according to the updated medicine data.

Specifically, the medicine data to be queried refers to data stored in a medicine group whose number of medicine data exceeds a preset value. If the medicine to be queried corresponds to the same disease data, the medicine data to be queried corresponding to the same disease data may be As a new drug group. The disease data to be queried refers to the disease data associated with the drug data to be queried. The updated drug data refers to different drug data corresponding to the same disease data to be queried, that is, the updated drug data can be used as a new drug group. The updated drug group refers to a group containing drug data corresponding to the same disease data to be queried, that is, the updated drug group is a group containing updated drug data corresponding to the same disease to be queried. Specifically, the server establishes the medical mapping relationship database, then queries the number of standard drug data in the drug group included in the medical mapping relationship database, and compares the number of standard drugs in the drug group with the preset values respectively. When the preset value is exceeded, the number of standard drug data contained in the drug group is too large, and further optimization is needed, and then the server extracts the standard drug data in the drug group whose number exceeds the preset value as the drug data to be queried Then, in the medical mapping relationship database, according to the standard drug data as the drug data to be queried, the corresponding standard disease data is queried as the disease data to be queried, and then the server extracts the drug data to be queried corresponding to the same disease data as the query Update drug data, that is, update drug data can be used as a new drug group, thereby splitting the original drug group, reducing the original drug group contains too much standard drug data, so as to update the drug data as the updated drug group, complete the medical mapping relationship The optimization of the library, that is, the server can query all drug groups stored in the medical mapping relationship database, so as to split the drug groups containing the standard drug data in a quantity exceeding a preset value.

For example, a drug group is used for illustration. When the server establishes a medical mapping relationship database, the server obtains the number of standard drugs contained in the drug group, that is, drug group 2. When the number of standard drugs exceeds a preset value, for example, exceeds 100, then extract the standard drug data in the drug group 2 as the drug data to be queried. The server queries the disease data corresponding to the drug data to be queried from the medical mapping relationship database, such as disease C, disease D and disease F, and then the The queried disease data is taken as the disease data to be queried, that is, disease C, disease D and disease F are taken as the disease data to be queried, and then the server separately queries the drug data corresponding to the disease C, disease D and disease F to be queried, thus respectively The data of the drug to be queried corresponding to disease C is regarded as the updated drug data 1, and the data of the updated drug data 1 is regarded as the updated drug group 1. Drug group 2, the drug data to be queried corresponding to disease F is used as the updated drug data 3, and the updated drug data 3 is used as the updated drug group 3, so that the drug group 2 is split into 3 new drug groups, using the same steps, The server may query and split the medicine groups included in the medical mapping relationship database, thereby completing the optimization of the medical mapping relationship database, which will not be repeated here.

In this embodiment, the server can split the drug group containing too much standard drug data, that is, to avoid the inconvenience of the query when the same drug group contains too much drug data, that is, the medical mapping relationship database can be Optimize and enhance the applicability of the medical mapping relationship library.

In one of the embodiments, extracting the same standard drug data of the disease group as the drug group, and storing the generated drug group and the disease group corresponding to the drug group in association with the medical mapping relationship database may further include: when the new drug is received When the data is found, the new disease data corresponding to the new drug data is queried according to the medical mapping relationship database; when the new disease data is not queried, the add instruction corresponding to the new disease data is received; according to the add instruction, the new The disease-increasing data is added to the corresponding disease group in the medical mapping relationship database to obtain the updated disease group, and the new drug data is associated with the new disease data in the updated disease group.

Specifically, the newly added medicine data refers to the data of the medicine group to be added to the medical mapping relationship database, and the newly added medicine data may be the medicine name, medicine usage, and the like. The newly added disease data refers to the disease data applicable to the newly added drug data, that is, the diseases corresponding to the newly added disease data can be treated with the drugs corresponding to the newly added drug data. The add instruction is a command that instructs the server to add the new disease data and the new drug data to the medical mapping relationship database, that is, the add instruction instructs the server to add the new disease data to the corresponding disease group, and add the new drug data and The newly added disease data that has been added are correlated and stored in the corresponding drug group. The updated disease group refers to a group with added new disease data, that is, the updated disease group is a group containing standard disease data and newly added disease data.

Specifically, when the server receives the new drug data, it queries the disease data corresponding to the new drug data according to the medical mapping relationship database, that is, the server receives the new drug data, and queries the new drug data for the application Disease, according to the applicable disease, query the standard disease data in the medical mapping relationship database as the new disease data, when the corresponding standard disease data is queried, the queryed standard disease data is used as the new disease data, and then the The newly added medicine data is associated with the queried newly added disease data, and the newly added medicine data is added to the medicine group associated with the disease group to which the newly added disease data belongs. When the standard disease data is not queried, that is, the new disease data is not queried, the corresponding prompt information is displayed on the display interface of the server, and the user selects according to the prompt information. When added to the medical mapping relationship database, a corresponding add instruction is generated, and the server queries the disease group corresponding to the newly added disease data according to the add instruction, that is, the keyword can be queried according to the keyword contained in the internationally common name of the newly added disease data Disease group, you can also query the disease group you belong to according to the specific coding position of the international disease classification code corresponding to the new disease data, and then add the new disease data to the queried disease group to get the updated disease group, and the server will update The increased drug data is associated with the newly added disease data, that is, the newly added drug data is mapped to the updated disease group, and then the server can also add the new drug data to the corresponding drug group, which not only updates the disease group, but also updates the corresponding Medicine group.

In this embodiment, the server can expand the established medical mapping relationship database, gradually improve the medical mapping relationship database, and enhance the integrity of data in the medical mapping relationship database.

In one of the embodiments, extracting the same standard drug data of the disease group as the drug group, and associatively storing the generated drug group and the disease group corresponding to the drug group to obtain a medical mapping relationship database, further comprising: receiving a target cost calculation request, target The fee calculation request carries the first identity data; query the first identity disease data corresponding to the first identity data; when the first identity disease data is not queried, query the prescription information corresponding to the first identity data; extract the prescription information The first medicine data included in the query the first disease data corresponding to the first medicine data according to the medical mapping relationship database; query the initial cost corresponding to the first disease data, and the target cost will be calculated according to the cost.

Specifically, the first identity data is the user's identity information that can be predicted using the medical mapping relationship database. The first identity data may contain basic information, such as the user's name, contact information, age, etc., and include the corresponding historical diagnosis Information, such as disease data and symptom data within a preset time period in history. The target cost refers to the cost of the disease group and the drug group stored in the medical mapping relationship database, which can be used to predict or calculate the disease corresponding to the disease data included in the first identity data. The target fee calculation request refers to the instruction information received by the server for calculating the target fee. According to the target fee calculation request, the server can calculate or predict the target fee. The first identity disease data is the disease corresponding to the identity information, that is, the disease data displayed by the historical diagnosis information included in the first identity data. The prescription information refers to the medication information corresponding to the first identity data, that is, the medication information applicable to the disease data displayed by the historical diagnosis information included in the first identity data. The first medicine data refers to the specific medicine corresponding to the medication information in the prescription information, and the first medicine data may be the name of the medicine. The first disease data is disease data corresponding to the first drug data, that is, the disease of the first disease data can be applied to the drug of the first drug data for treatment. The initial cost refers to the actual cost required to treat the disease of the first disease data.

Specifically, according to the first identity data, the server may predict the cost required for the first identity data to seek medical treatment within a preset time period in the future, then the server receives the target cost calculation request, and then extracts the first cost carried in the target cost calculation request Identity data, that is, to extract the corresponding basic information and historical diagnosis information, the server finds the corresponding first identity disease data according to the first identity data, that is, it can query the first identity disease data according to the historical diagnosis information, when If there is a lack of historical diagnostic information and the corresponding first identity disease data is not queried, the prescription information corresponding to the first identity data is queried, that is, the corresponding medication information, and the server queries the prescription information, then extracts the first information contained in the prescription information One medicine data, the first medicine data as standard medicine data, query the corresponding standard disease data according to the medical mapping relation database, and use the searched standard disease data as the first disease data, and then the server obtains the region corresponding to the first identity data, That is, the area where the user is located, and then the disease that the server queries the first disease data for treatment in the searched area is used as the initial cost, and then the initial cost is used to calculate the corresponding target cost. If there is one disease data, the initial cost corresponding to the first disease data is taken as the target cost. When there are multiple first disease data queried, the initial costs corresponding to the multiple first disease data are summed Get the target cost.

In this embodiment, the server can calculate the target cost required for the first identity data by establishing a completed medical mapping relationship library, and when the first identity disease data corresponding to the first identity data is not queried, the server can Corresponding first drug data, query the first disease data, so as to calculate the corresponding target cost according to the initial cost corresponding to the first disease data, that is, the medical mapping relationship database is flexible to use, and only need to find the corresponding when calculating the target cost The first disease data can be correspondingly queried to get the initial cost to get the target cost, without too much calculation and operation, the calculation is simple and easy.

In one of the embodiments, the medicine data of the same disease group is extracted as the medicine group, and the generated medicine group and the disease group corresponding to the medicine group are associated and stored to obtain the medical mapping relationship database, which may further include: receiving a query instruction for querying the medical treatment behavior , The query instruction carries the second identity data; query the second drug data corresponding to the second identity data; query the second disease data associated with the second drug data according to the medical mapping relationship database, and query the second identity data The second identity disease data; compare the second disease data with the second identity disease data; when the comparison result is not the same, then output prompt information to monitor the visit behavior.

Specifically, the visit behavior refers to the visit information, that is, it can include the hospital visit information of the user, and the personal information of the user. The query instruction refers to a command to query whether the medical treatment is normal. The second identity data is the identity information of the user who can use the medical mapping relationship database to monitor the visits. The second identity data can contain basic information, such as the user's name, contact information, age, etc., and contains the corresponding historical diagnostic information , Such as disease data and symptom data within a preset time period in history. The second medicine data refers to the medicine data corresponding to the second identity data, that is, the medicine data included in the historical diagnosis information in the second identity data. The second medicine data may be the name of the medicine. The second disease data is disease data corresponding to the second drug data, that is, the disease of the second disease data can be applied to the drug of the second drug data for treatment. The second identity disease data is the disease corresponding to the second identity data, that is, the disease data displayed by the historical diagnosis information included in the second identity data, that is, the actual disease corresponding to the second identity data.

Specifically, the server receives the query instruction for querying the medical treatment behavior, and extracts the second identity data carried in the query instruction according to the received query instruction, that is, extracts the basic information and historical diagnostic information corresponding to the second identity data. The server According to the queried second identity data, the second medicine data corresponding to the second identity data is searched, that is, the corresponding second medicine data can be queried according to historical diagnostic information, and then the second medicine data is used as standard medicine data, from The standard disease data corresponding to the standard drug data is queried in the medical mapping relationship database, and the queried standard disease data is used as the second disease data, and the server queries the corresponding second identity disease data from the second identity data, that is, from The corresponding second-identity disease data is queried in the historical diagnosis information, and the second-disease data is compared with the second-identity disease data. The server may compare the disease name corresponding to the second-identity data with the second-identity disease data. Compare the name of the disease, or compare the international disease classification code corresponding to the second disease data with the international disease classification code corresponding to the second disease data. When the comparison is successful, the first Second, the drug data is the drugs used for the corresponding disease data. When the comparison is unsuccessful, there may be a phenomenon that the user randomly prescribes the drug or the doctor prescribes the drug wrongly. It is necessary to monitor the visit behavior, that is, output the corresponding The prompt information for monitoring the visit to the doctor can output the second identity information to be monitored.

In this embodiment, the server may monitor the visit behavior according to the established medical mapping relationship database, that is, according to the second drug data corresponding to the second identity data in the visit behavior, query the corresponding second disease according to the medical mapping relationship database Data, and then obtain the second identity disease data corresponding to the second identity data, and compare the second disease data with the second identity disease data to determine whether the actual disease data in the second identity data is the second drug data The applicable diseases of the medicine can effectively monitor the behavior of the doctor.

It should be understood that although the steps in the flowcharts of FIGS. 2-3 are displayed in order according to the arrows, the steps are not necessarily executed in the order indicated by the arrows. Unless clearly stated in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in FIGS. 2-3 may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but may be executed at different times. These sub-steps or stages The execution order of is not necessarily sequential, but may be executed in turn or alternately with at least a part of other steps or sub-steps or stages of other steps.

In one embodiment, as shown in FIG. 4, a medical mapping relationship database establishment apparatus 400 is provided, including: an extraction module 410, a query module 420, an establishment module 430, and a storage module 440, where:

The extraction module 410 is used to acquire the classified disease group and extract the corresponding standard disease data in the disease group.

The query module 420 is used to query the standard medicine data corresponding to the standard disease data.

The establishment module 430 is used to establish a mapping relationship between the standard drug data and the disease group to which the standard disease data belongs.

The storage module 440 is configured to extract the standard drug data with the same disease group as the drug group, and store the generated drug group and the disease group corresponding to the drug group in association to obtain a medical mapping relationship database.

In one of the embodiments, the apparatus 400 for establishing a medical mapping relationship database may further include:

The judgment module is used to judge whether the disease groups corresponding to the same standard drug data are the same.

The cancel instruction receiving module is used to display the prompt information for the same standard drug data and the different mapping relationship of the disease group when the disease group corresponding to the same standard drug data is different; receive the corresponding standard message data and cancel the standard drug data and disease Cancellation instruction for group mapping.

The mapping relationship cancellation module deletes the mapping relationship between the standard drug data and the disease group according to the cancellation instruction.

The quantity obtaining module is used to obtain the quantity of the standard medicine data contained in the medicine group in the medical mapping relation database.

The medicine data extraction module to be queried is used to extract the standard medicine data whose quantity exceeds the preset value as the medicine data to be queried when the quantity exceeds the preset value.

The disease data query module to be queried is used to query the disease data to be queried corresponding to the drug data to be queried according to the medical mapping relationship database.

The updated medicine group generation module is used to extract the medicine data to be queried corresponding to the same disease data to be queried as the updated medicine data, and generate the updated medicine group according to the updated medicine data.

The newly acquired disease data acquisition module is used to query the newly added disease data corresponding to the newly added drug data according to the medical mapping relationship database when the newly added medicine data is received.

The addition instruction receiving module is used to receive the addition instruction corresponding to the newly added disease data when the newly added disease data is not queried.

The association module is used to add the new disease data to the corresponding disease group in the medical mapping relationship database according to the adding instruction to obtain the updated disease group, and associate the new drug data with the new disease data in the updated disease group.

The request receiving module is used to receive a target fee calculation request, and the target fee calculation request carries the first identity data.

The first identity data query module is used to query the first identity disease data corresponding to the first identity data.

The prescription information query module is used to query the prescription information corresponding to the first identity data when the identity disease data is not queried.

The first disease data query module is used to extract the first drug data contained in the prescription information, and query the first disease data corresponding to the first drug data according to the medical mapping relationship database.

The calculation module is used to query the initial cost corresponding to the first disease data, and the target cost will be calculated according to the cost.

The query instruction receiving module is used to receive a query instruction for querying a medical treatment behavior, and the query instruction carries second identity data.

The second medicine data query module is used to query the second medicine data corresponding to the second identity data.

The second disease data query module is used to query the second disease data associated with the second drug data according to the medical mapping relationship database, and query the second identity disease data corresponding to the second identity data.

The comparison module is used to compare the second disease data with the second identity disease data.

The output module is used for outputting prompt information for monitoring the visit behavior when the comparison result is different.

For the specific limitation of the device for establishing the medical mapping relationship database, reference may be made to the above limitation on the method for establishing the medical mapping relationship database, which will not be repeated here. Each module in the device for establishing a medical mapping relationship database may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in the hardware or independent of the processor in the computer device, or may be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

In one embodiment, a computer device is provided. The computer device may be a server, and an internal structure diagram thereof may be as shown in FIG. 5. The computer device includes a processor, memory, network interface, and database connected by a system bus. Among them, the processor of the computer device is used 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, computer-readable instructions, and a database. The internal memory provides an environment for the operation of the operating system and computer-readable instructions in the non-volatile storage medium. The database of the computer device is used to store the medical mapping relationship database establishment data. The network interface of the computer device is used to communicate with external terminals through a network connection. When the computer-readable instructions are executed by the processor, a method for establishing a medical mapping relationship database is realized.

Those skilled in the art can understand that the structure shown in FIG. 5 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may It includes more or fewer components than shown in the figure, or some components are combined, or have a different component arrangement.

In one embodiment, a computer device is provided, which includes a memory and a processor, where the memory stores computer-readable instructions. When the processor executes the computer-readable instructions, the following steps are implemented: acquiring a classified disease group and extracting The corresponding standard disease data in the disease group. Query the standard medicine data corresponding to the standard disease data. Establish a mapping relationship between the standard drug data and the disease group to which the standard disease data belongs. And extract the standard drug data corresponding to the same disease group as the drug group, and store the generated drug group and the disease group corresponding to the drug group in association to obtain a medical mapping relationship database.

In one of the embodiments, the processor also implements the following steps when executing the computer-readable instructions: determining whether the disease groups corresponding to the same standard drug data are the same. When the disease groups corresponding to the same standard drug data are different, the prompt message for the same standard drug data and the different mapping relationship of the disease group is displayed; the cancellation instruction corresponding to the prompt message to cancel the mapping relationship between the standard drug data and the disease group is received . And delete the mapping relationship between the standard drug data and the disease group according to the cancellation instruction.

In one of the embodiments, the processor further implements the following steps when executing the computer-readable instructions: acquiring the number of standard drug data contained in the drug group in the medical mapping relationship library. When the quantity exceeds the preset value, the standard medicine data whose quantity exceeds the preset value is extracted as the medicine data to be queried. Query the disease data to be queried corresponding to the drug data to be queried according to the medical mapping relationship database. And extracting the medicine data to be queried corresponding to the same disease data to be queried as the updated medicine data, and generating an updated medicine group according to the updated medicine data.

In one of the embodiments, the processor also implements the following steps when executing the computer-readable instructions: when receiving the new drug data, the new disease data corresponding to the new drug data is queried according to the medical mapping relationship database. When the newly added disease data is not queried, an add instruction corresponding to the newly added disease data is received. And according to the addition instruction, add the new disease data to the corresponding disease group in the medical mapping relationship database to obtain the updated disease group, and associate the new drug data with the new disease data in the updated disease group.

In one of the embodiments, the processor also implements the following steps when executing the computer-readable instructions: receiving a target fee calculation request, the target fee calculation request carrying the first identity data. Query the first identity disease data corresponding to the first identity data. When the first identity disease data is not queried, the prescription information corresponding to the first identity data is queried. Extract the first medicine data contained in the prescription information, and query the first disease data corresponding to the first medicine data according to the medical mapping relationship database. And query the initial cost corresponding to the first disease data, the target cost will be calculated according to the cost.

In one of the embodiments, the processor further implements the following steps when executing the computer-readable instructions: receiving a query instruction for querying a medical treatment behavior, and the query instruction carries second identity data. Query the second medicine data corresponding to the second identity data. According to the medical mapping relationship database, query the second disease data associated with the second drug data, and query the second identity disease data corresponding to the second identity data. The second disease data is compared with the second identity disease data. And when the comparison result is not the same, the prompt information for monitoring the visit behavior is output.

In one embodiment, a computer-readable storage medium is provided on which computer-readable instructions are stored. When the computer-readable instructions are executed by a processor, the following steps are achieved: acquiring a classified disease group, and extracting the disease group Corresponding standard disease data. Query the standard medicine data corresponding to the standard disease data. Establish a mapping relationship between the standard drug data and the disease group to which the standard disease data belongs. And extract the standard drug data corresponding to the same disease group as the drug group, and store the generated drug group and the disease group corresponding to the drug group in association to obtain a medical mapping relationship database.

In one of the embodiments, when the computer-readable instructions are executed by the processor, the following steps are further implemented: determining whether the disease groups corresponding to the same standard drug data are the same. When the disease groups corresponding to the same standard drug data are different, the prompt message for the same standard drug data and the different mapping relationship of the disease group is displayed; receiving the cancellation instruction corresponding to the prompt message to cancel the mapping relationship between the standard drug data and the disease group . And delete the mapping relationship between the standard drug data and the disease group according to the cancellation instruction.

In one of the embodiments, when the computer-readable instructions are executed by the processor, the following steps are also implemented: obtaining the number of standard drug data contained in the drug group in the medical mapping relationship library. When the quantity exceeds the preset value, the standard medicine data whose quantity exceeds the preset value is extracted as the medicine data to be queried. Query the disease data to be queried corresponding to the drug data to be queried according to the medical mapping relationship database. And extracting the medicine data to be queried corresponding to the same disease data to be queried as the updated medicine data, and generating an updated medicine group according to the updated medicine data.

In one of the embodiments, when the computer-readable instructions are executed by the processor, the following steps are further implemented: when new drug data is received, the new disease data corresponding to the new drug data is queried from the medical mapping relationship database. When the newly added disease data is not queried, an add instruction corresponding to the newly added disease data is received. And according to the addition instruction, add the new disease data to the corresponding disease group in the medical mapping relationship database to obtain the updated disease group, and associate the new drug data with the new disease data in the updated disease group.

In one of the embodiments, when the computer-readable instructions are executed by the processor, the following steps are further implemented: receiving a target fee calculation request, the target fee calculation request carrying the first identity data. Query the first identity disease data corresponding to the first identity data. When the first identity disease data is not queried, the prescription information corresponding to the first identity data is queried. Extract the first medicine data contained in the prescription information, and query the first disease data corresponding to the first medicine data according to the medical mapping relationship database. And query the initial cost corresponding to the first disease data, the target cost will be calculated according to the cost.

In one of the embodiments, when the computer-readable instructions are executed by the processor, the following steps are further implemented: receiving a query instruction for querying a medical treatment behavior, and the query instruction carries second identity data. Query the second medicine data corresponding to the second identity data. According to the medical mapping relationship database, query the second disease data associated with the second drug data, and query the second identity disease data corresponding to the second identity data. The second disease data is compared with the second identity disease data. And when the comparison result is not the same, the prompt information for monitoring the visit behavior is output.

A person of ordinary skill in the art may understand that all or part of the process in the method of the foregoing embodiments may be completed by instructing relevant hardware through computer-readable instructions, and the computer-readable instructions may be stored in a non-volatile computer In the readable storage medium, when the computer-readable instructions are executed, they may include the processes of the foregoing method embodiments. Wherein, any reference to the memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may 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 many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous chain (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

The technical features of the above embodiments can be arbitrarily combined. To simplify the description, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, all It is considered to be within the scope of this description.

The above-mentioned embodiments only express several implementations of the present application, and their descriptions are more specific and detailed, but they should not be construed as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which all fall within the protection scope of the present application. Therefore, the protection scope of the patent of this application shall be subject to the appended claims.

Claims

A method for establishing a medical mapping relationship database, the method includes:

Obtain the classified disease group, and extract the corresponding standard disease data in the disease group;

Query the standard drug data corresponding to the standard disease data;

Establish a mapping relationship between the standard drug data and the disease group to which the standard disease data belongs; and

Extract the standard drug data with the same disease group as the drug group, and store the generated drug group and the disease group corresponding to the drug group in association to obtain a medical mapping relationship database.
The method according to claim 1, wherein the extracted standard drug data of the same disease group is used as a drug group, and the generated drug group and the disease group corresponding to the drug group are stored in association to obtain a medical mapping relationship library After that, including:

Determine whether the disease groups corresponding to the same standard drug data are the same;

When the disease groups corresponding to the same standard drug data are different, a prompt message for the same mapping relationship between the standard drug data and different disease groups is displayed;

Receiving a cancellation instruction corresponding to the prompt information to cancel the mapping relationship between the standard drug data and the disease group; and

Delete the mapping relationship between the standard drug data and the disease group according to the cancellation instruction.
The method according to claim 1, wherein the extracted standard drug data of the same disease group is used as a drug group, and the generated drug group and the disease group corresponding to the drug group are stored in association to obtain a medical mapping relationship library After that, it also includes:

Acquiring the quantity of the standard drug data included in the drug group in the medical mapping relationship database;

When the quantity exceeds a preset value, the standard drug data whose quantity exceeds the preset value is extracted as the drug data to be queried;

Querying the disease data to be queried corresponding to the drug data to be queried according to the medical mapping relationship database; and

Extracting the same medicine data to be queried corresponding to the disease data to be queried as the updated medicine data, and generating an updated medicine group according to the updated medicine data.
The method according to claim 1, wherein the extracted standard drug data of the same disease group is used as a drug group, and the generated drug group and the disease group corresponding to the drug group are stored in association to obtain a medical mapping relationship library After that, it also includes:

When receiving the new drug data, query the new disease data corresponding to the new drug data according to the medical mapping relationship database;

When the newly added disease data is not queried, an add instruction corresponding to the newly added disease data is received; and

According to the adding instruction, adding the newly added disease data to the corresponding disease group in the medical mapping relationship database to obtain an updated disease group, and adding the newly added drug data and the new disease group in the updated disease group To increase disease data.
The method according to claim 1, wherein the extracted standard drug data of the same disease group is used as a drug group, and the generated drug group and the disease group corresponding to the drug group are stored in association to obtain a medical mapping relationship library After that, it also includes:

Receiving a target cost calculation request, the target cost calculation request carrying first identity data;

Query the first identity disease data corresponding to the first identity data;

When the disease data of the first identity is not queried, the prescription information corresponding to the first identity data is queried;

Extracting the first medicine data contained in the prescription information, and querying the first disease data corresponding to the first medicine data according to the medical mapping relationship database; and

Query the initial cost corresponding to the first disease data, and the target cost will be calculated according to the cost.
The method according to claim 1, wherein the extracted medicine data of the same disease group is used as a medicine group, and the generated medicine group and the disease group corresponding to the medicine group are associated and stored to obtain a medical mapping relationship database ,Also includes:

Receiving a query instruction for querying the medical treatment behavior, the query instruction carrying second identity data;

Query the second drug data corresponding to the second identity data;

Query the second disease data associated with the second drug data according to the medical mapping relationship database, and query the second identity disease data corresponding to the second identity data;

Comparing the second disease data with the second identity disease data; and

When the comparison result is not the same, the prompt information for monitoring the visit behavior is output.
A device for establishing a medical mapping relationship database, wherein the device includes:

An extraction module, used to obtain the classified disease group and extract corresponding standard disease data in the disease group;

The query module is used to query the standard drug data corresponding to the standard disease data;

Establishing a module for establishing a mapping relationship between the standard drug data and the disease group to which the standard disease data belongs; and

The storage module is used for extracting the standard medicine data with the same disease group as the medicine group, and associatively storing the generated medicine group and the disease group corresponding to the medicine group to obtain a medical mapping relationship database.
The device according to claim 7, wherein the device comprises:

The judgment module is used to judge whether the disease groups corresponding to the same standard drug data are the same;

A cancellation instruction receiving module, configured to receive a cancellation instruction to cancel the mapping relationship between the standard drug data and the disease group when the disease groups corresponding to the same standard drug data are different; and

The mapping relationship cancellation module deletes the mapping relationship between the standard drug data and the disease group according to the cancellation instruction.
A computer device includes a memory and one or more processors. The memory stores computer-readable instructions. When the computer-readable instructions are executed by the one or more processors, the one or more Each processor executes the following steps: acquiring the classified disease group and extracting the corresponding standard disease data in the disease group; querying the standard drug data corresponding to the standard disease data; comparing the standard drug data with the standard disease The disease group to which the data belongs establishes a mapping relationship; and extracts the same standard drug data of the disease group as a drug group, and stores the generated drug group and the disease group corresponding to the drug group in association to obtain a medical mapping relationship database.
The computer device according to claim 9, characterized in that, when the processor executes the computer-readable instructions, the extraction of the same standard drug data of the disease group as the drug group, and the generated drug group And after associatively storing the disease group corresponding to the drug group to obtain the medical mapping relationship library, including: determining whether the disease group corresponding to the same standard drug data is the same; when the same standard drug data corresponds to the disease When the groups are different, a prompt message is displayed for the same standard drug data and the different mapping relationship between the disease groups; receiving the cancellation corresponding to the prompt message, canceling the mapping relationship between the standard drug data and the disease group Instruction; and delete the mapping relationship between the standard drug data and the disease group according to the cancellation instruction.
The computer device according to claim 9, characterized in that, when the processor executes the computer-readable instructions, the extraction of the same standard drug data of the disease group as the drug group, and the generated drug group And after associatively storing the disease group corresponding to the drug group to obtain a medical mapping relationship database, the method further includes: acquiring the quantity of the standard drug data included in the drug group in the medical mapping relationship database; when the quantity exceeds a preset Value, the standard drug data whose quantity exceeds the preset value is extracted as the drug data to be queried; the disease data to be queried corresponding to the drug data to be queried is queried according to the medical mapping relationship database; and the same The medicine data to be queried corresponding to the disease data to be queried is used as updated medicine data, and an updated medicine group is generated according to the updated medicine data.
The computer device according to claim 9, characterized in that, when the processor executes the computer-readable instructions, the extraction of the same standard drug data of the disease group as the drug group, and the generated drug group And after associatively storing the disease group corresponding to the drug group and obtaining the medical mapping relationship database, the method further includes: when receiving new drug data, querying the new drug data corresponding to the new drug data according to the medical mapping relationship database Disease data; when the new disease data is not queried, receive an add instruction corresponding to the new disease data; and add the new disease data to the medical mapping relationship according to the add instruction The corresponding disease group in the library obtains the updated disease group, and associates the newly added medicine data with the newly added disease data in the updated disease group.
The computer device according to claim 9, characterized in that, when the processor executes the computer-readable instructions, the extraction of the same standard drug data of the disease group as the drug group, and the generated drug group And after associatively storing the disease group corresponding to the drug group and obtaining the medical mapping relationship database, the method further includes: receiving a target cost calculation request, the target cost calculation request carrying first identity data; querying the first identity data corresponding to the first An identity disease data; when the first identity disease data is not queried, the prescription information corresponding to the first identity data is queried; the first medicine data included in the prescription information is extracted, and the medical information The mapping relationship database queries the first disease data corresponding to the first drug data; and queries the initial cost corresponding to the first disease data, and the target cost will be calculated according to the cost.
The computer device according to claim 9, characterized in that, when the processor executes the computer-readable instructions, the medicine data of the same extraction disease group is executed as a medicine group, and the generated medicine group and After the disease group corresponding to the drug group is associated and stored to obtain the medical mapping relationship database, the method further includes: receiving a query instruction for querying the medical treatment behavior, and the query instruction carries second identity data; querying the location corresponding to the second identity data The second medicine data; according to the medical mapping relationship database, query the second disease data associated with the second medicine data, and query the second identity disease data corresponding to the second identity data; The second disease data is compared with the second identity disease data; and when the comparison result is not the same, the prompt information for monitoring the visit behavior is output.
One or more non-volatile computer-readable storage media storing computer-readable instructions, which when executed by one or more processors, cause the one or more processors to perform the following steps: Obtain the classified disease group, and extract the corresponding standard disease data in the disease group; query the standard drug data corresponding to the standard disease data; map the standard drug data to the disease group to which the standard disease data belongs Relationship; and extract the same standard drug data of the disease group as a drug group, and store the generated drug group and the disease group corresponding to the drug group in association to obtain a medical mapping relationship database.
The storage medium according to claim 15, wherein the extraction of the same standard drug data of the same disease group as the drug group performed by the processor executing the computer-readable instructions is used as the drug group, and the generated drug group And after associatively storing the disease group corresponding to the drug group to obtain the medical mapping relationship library, including: determining whether the disease group corresponding to the same standard drug data is the same; when the same standard drug data corresponds to the disease When the groups are different, a prompt message is displayed for the same standard drug data and the different mapping relationship between the disease groups; receiving the cancellation corresponding to the prompt message, canceling the mapping relationship between the standard drug data and the disease group Instruction; and delete the mapping relationship between the standard drug data and the disease group according to the cancellation instruction.
The storage medium according to claim 15, wherein the extraction of the same standard medicine data of the same disease group as the medicine group performed by the computer-readable instructions when executed by the processor is used as a medicine group, and the generated medicine After the medical mapping relationship database is obtained by associating and storing the disease group corresponding to the drug group and the medical group, the method further includes: acquiring the number of the standard drug data included in the drug group in the medical mapping relationship database; When setting the value, the standard drug data whose quantity exceeds the preset value is extracted as the drug data to be queried; the disease data to be queried corresponding to the drug data to be queried is queried according to the medical mapping relationship database; and the same is extracted The medicine data to be queried corresponding to the disease data to be queried is used as updated medicine data, and an updated medicine group is generated according to the updated medicine data.
The storage medium according to claim 15, wherein the extraction of the same standard medicine data of the same disease group as the medicine group performed by the computer-readable instructions when executed by the processor is used as a medicine group, and the generated medicine After the medical mapping relationship database is obtained by associating and storing the disease group corresponding to the drug group, the method further includes: when receiving the new drug data, querying the new drug data corresponding to the new drug data according to the medical mapping relationship database Add disease data; when the new disease data is not queried, receive an add instruction corresponding to the new disease data; and add the new disease data to the medical map according to the add instruction The corresponding disease group in the relationship database obtains the updated disease group, and associates the newly added medicine data with the newly added disease data in the updated disease group.
The storage medium according to claim 15, wherein the extraction of the same standard medicine data of the same disease group as the medicine group performed by the computer-readable instructions when executed by the processor is used as a medicine group, and the generated medicine After the medical mapping relationship database is obtained by associating and storing the disease group corresponding to the medicine group and the medicine group, the method further includes: receiving a target cost calculation request, where the target cost calculation request carries first identity data; The first identity disease data; when the first identity disease data is not queried, then query the prescription information corresponding to the first identity data; extract the first drug data contained in the prescription information, according to the The medical mapping relationship database queries the first disease data corresponding to the first drug data; and queries the initial cost corresponding to the first disease data, and the target cost will be calculated according to the cost.
The storage medium according to claim 15, wherein the extraction of the same medicine data of the same disease group as the medicine group performed when the computer-readable instructions are executed by the processor is used as a medicine group, and the generated medicine group And after associatively storing the disease group corresponding to the drug group and obtaining the medical mapping relationship database, the method further includes: receiving a query instruction for querying the medical treatment behavior, the query instruction carrying second identity data; querying the second identity data corresponding to The second drug data; according to the medical mapping relationship database, query the second disease data associated with the second drug data, and query the second identity disease data corresponding to the second identity data; The second disease data is compared with the second identity disease data; and when the comparison result is not the same, the prompt information for monitoring the visit behavior is output.