CN113409910A

CN113409910A - Prescription processing method, prescription processing device, electronic apparatus, and storage medium

Info

Publication number: CN113409910A
Application number: CN202110722978.9A
Authority: CN
Inventors: 杜鹏
Original assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Current assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Priority date: 2021-06-28
Filing date: 2021-06-28
Publication date: 2021-09-17
Anticipated expiration: 2041-06-28
Also published as: CN113409910B

Abstract

The disclosure discloses a prescription processing method, a prescription processing device, electronic equipment and a storage medium, and relates to the technical field of computers, in particular to the field of intelligent recommendation. The specific implementation scheme is as follows: the first user receives prescription information from the second user, wherein the prescription information is generated by the second user based on a first standard protocol; determining a third user for processing the prescription information in a case where it is determined that the prescription information is approved; the prescription information is sent to a third user to cause the third user to generate a prescription order for the prescription information based on the second standard protocol.

Description

Prescription processing method, prescription processing device, electronic apparatus, and storage medium

Technical Field

The present disclosure relates to the field of computer technology, and more particularly, to the field of intelligent recommendation.

Background

With the continuous development of computer technology, the medical industry has also developed, and online inquiry methods have come into play. The user can realize the inquiry by the on-line inquiry mode, and if the user needs to buy the medicine, the user can realize the medicine purchase by the corresponding platform. The online interrogation may be implemented based on an internet hospital.

In order to meet the medicine purchasing requirements of users, the platform is required to provide relatively efficient and safe services.

Disclosure of Invention

The disclosure provides a prescription processing method, a prescription processing apparatus, an electronic device, and a storage medium.

According to an aspect of the present disclosure, there is provided a prescription processing method including: a first user receives prescription information from a second user, wherein the prescription information is generated by the second user based on a first standard protocol; determining a third user for processing the prescription information if it is determined that the prescription information is approved; and sending the prescription information to the third user so that the third user generates a prescription order for the prescription information based on a second standard protocol.

According to another aspect of the present disclosure, there is provided a prescription processing method including: the second user generates prescription information based on the first standard protocol; and transmitting the prescription information to a first user, so that the first user determines a third user for processing the prescription information when the first user determines that the prescription information is approved, and transmitting the prescription information to the third user, so that the third user processes the prescription information based on a second standard protocol, and generates a prescription order for the prescription information.

According to another aspect of the present disclosure, there is provided a prescription processing method including: the third user receives prescription information from the first user, wherein the prescription information is generated by the second user based on the first standard protocol; and processing the prescription information based on a second standard protocol to generate a prescription order for the prescription information.

According to another aspect of the present disclosure, there is provided a prescription processing apparatus including: a first user receives prescription information from a second user, wherein the prescription information is generated by the second user based on a first standard protocol; determining a third user for processing the prescription information if it is determined that the prescription information is approved; and sending the prescription information to the third user so that the third user generates a prescription order for the prescription information based on a second standard protocol.

According to another aspect of the present disclosure, there is provided a prescription processing apparatus including: the generating module is used for generating prescription information by a second user based on a first standard protocol; and a third sending module, configured to send the prescription information to a first user, so that the first user determines a third user for processing the prescription information when determining that the prescription information is approved, and send the prescription information to the third user, so that the third user processes the prescription information based on a second standard protocol, and generates a prescription order for the prescription information.

According to another aspect of the present disclosure, there is provided a prescription processing apparatus including: the third receiving module is used for receiving prescription information from the first user by a third user, wherein the prescription information is generated by the second user based on the first standard protocol; and the second generation module is used for processing the prescription information based on a second standard protocol and generating a prescription order aiming at the prescription information.

According to another aspect of the present disclosure, there is provided an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method.

According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method as described above.

According to another aspect of the present disclosure, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the method as described above.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.

Drawings

The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

FIG. 1 schematically illustrates an exemplary system architecture to which recipe processing methods and apparatus may be applied, according to an embodiment of the present disclosure;

FIG. 2 schematically illustrates a flow chart of a recipe processing method according to an embodiment of the present disclosure;

FIG. 3 schematically shows a flow chart for generating prescription information according to an embodiment of the present disclosure;

FIG. 4 schematically illustrates a flow chart for determining a third user for processing prescription information, in accordance with an embodiment of the present disclosure;

FIG. 5 schematically illustrates a schematic diagram of a prescription processing procedure according to an embodiment of the present disclosure;

FIG. 6 schematically illustrates a flow chart of a recipe processing method according to another embodiment of the present disclosure;

FIG. 7 schematically illustrates a flow chart of a recipe processing method according to another embodiment of the present disclosure;

FIG. 8 schematically illustrates a block diagram of a prescription processing apparatus according to an embodiment of the present disclosure;

FIG. 9 schematically illustrates a block diagram of a prescription processing apparatus according to another embodiment of the present disclosure;

FIG. 10 schematically illustrates a block diagram of a prescription processing apparatus according to another embodiment of the present disclosure; and

FIG. 11 schematically illustrates a block diagram of an electronic device suitable for implementing a recipe processing method in accordance with an embodiment of the present disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

The user realizes medicine purchasing through an on-line inquiry mode, and the electronic prescription circulation is involved. The electronic prescription circulation refers to sharing prescription information of a hospital, medicine sale and circulation information of a pharmacy and the like to an information system platform in an electronic mode. This information system platform may be referred to as a prescription flow platform.

In order to meet the medicine purchasing requirements of users, a platform is required to provide efficient and safe services, and a prescription circulation platform is used as a bridge for connecting hospitals and pharmacies, so that the prescription information can be efficiently and safely circulated and distributed.

The prescription flow mode may include an owned pharmacy mode and a third party pharmacy mode. The pharmacy transfer mode is that an internet hospital doctor can carry out multiple office operations to a self-built internet hospital, prescribe prescription information, and determine a pharmacy for processing the prescription information through a prescription transfer platform so that the pharmacy can process the prescription information. The third-party pharmacy mode is to reach agreement and cooperation with a public hospital, send part of prescription information to a prescription circulation platform, and determine a pharmacy for processing the prescription information through the prescription circulation platform so that the pharmacy can process the prescription information.

In the process of realizing the concept disclosed by the invention, the cost of accessing the prescription circulation platform by hospitals and pharmacies is higher, the access efficiency is lower, and the development amount of the prescription circulation platform is larger.

Therefore, a solution of a pluggable prescription circulation platform is provided. A pluggable recipe flow platform is understood to be a recipe flow platform that provides standardized interface protocols for access by various parties. The standardized interface protocol may be referred to as a standard protocol. In embodiments of the present disclosure, the prescription flow platform may be referred to as a first user, and the parties may include a second user, which may be referred to as a doctor side, and a third user, which may be referred to as a pharmacy side.

The disclosed embodiments provide a prescription processing method, a prescription processing apparatus, an electronic device, a non-transitory computer-readable storage medium storing computer instructions, and a computer program product. The prescription processing method comprises the following steps: the first user receives prescription information from the second user, wherein the prescription information is generated by the second user based on the first standard protocol, determines a third user for processing the prescription information if the prescription information is determined to be approved, and sends the prescription information to the third user, so that the third user generates a prescription order for the prescription information based on the second standard protocol.

FIG. 1 schematically illustrates an exemplary system architecture 100 to which recipe processing methods and apparatus may be applied, according to an embodiment of the disclosure.

It should be noted that fig. 1 is only an example of a system architecture to which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, and does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios. For example, in another embodiment, the exemplary system architecture 100 that can specify the recipe processing method and apparatus may include a first user, a second user, and a third user, but at least one of the first user, the second user, and the third user is not deployed and is not connected to the cloud service system, i.e., the recipe processing method and apparatus provided by the embodiments of the present disclosure may be implemented.

As shown in fig. 1, the system architecture 100 according to this embodiment may include a cloud service system 101, a first user 102, a second user 103, a third user 104, and a network 105. The cloud service system 101 may include a plurality of cloud servers 1010. A cloud Server, also called a cloud computing Server or a cloud host, is a host product in a cloud computing service system, and is used for solving the defects of high management difficulty and weak service extensibility in a conventional physical host and a VPS (Virtual Private Server, VPS).

A first user 102, a second user 103, and a third user 104 may be deployed at the cloud service system 101. The network 105 serves as a medium for providing communication links between the first user 102 and the second and

third users

103 and 104, respectively. The network 105 may include various connection types, such as wired and/or wireless communication links, and so forth.

The first user 102 may receive prescription information from the second user 103, which may be generated by the second user 103 based on a first standard protocol. In the event that it is determined that the prescription information has been audited, a third user 104 for processing the prescription information is determined. The prescription information is sent to the third user 104 to cause the third user 104 to generate a prescription order for the prescription information based on the second standard protocol.

The second user 103 may generate prescription information based on the first standard protocol. Sending the prescription information to the first user 102, so that the first user 102 determines a third user 104 for processing the prescription information if it is determined that the prescription information is approved, and sending the prescription information to the third user 104, so that the third user 104 processes the prescription information based on the second standard protocol, and generates a prescription order for the prescription information.

The third user 104 may receive prescription information from the first user 102, the prescription information being generated by the second user 103 based on the first standard protocol. The prescription information is processed based on a second standard protocol, generating a prescription order for the prescription information.

It should be noted that the recipe processing method provided by the embodiment of the present disclosure may also be generally executed by the cloud server 1010. Accordingly, the prescription processing apparatus provided by the embodiment of the present disclosure may be generally disposed in the cloud server 1010.

It should be understood that the number of cloud servers, first users, second users, third users, and networks in fig. 1 is merely illustrative. There may be any number of cloud servers, first users, second users, third users, and networks, as desired for implementation.

FIG. 2 schematically illustrates a flow chart of a recipe processing method 200 according to an embodiment of the present disclosure.

As shown in fig. 2, the method includes operations S210 to S230.

In operation S210, the first user receives prescription information from the second user, wherein the prescription information is generated by the second user based on the first standard protocol.

In operation S220, in case that it is determined that the prescription information is approved, a third user for processing the prescription information is determined.

In operation S230, prescription information is transmitted to the third user such that the third user generates a prescription order for the prescription information based on the second standard protocol.

According to an embodiment of the present disclosure, the first user may refer to a prescription flow platform. The second user may refer to a doctor's end. The third user may refer to the pharmacy end. The prescription information may include basic information of the user (i.e., patient), basic information of the second user, office identification and medication information. The basic information of the user may include at least one of a user name, a user gender, a user age, and a visit card number. The basic information of the second user may include a second user name. The drug information may include a drug identification and may also include a drug specification and a dosage form.

According to an embodiment of the present disclosure, the first standard protocol may be a standard protocol for enabling the second user to have pluggable access to the first user, i.e., a standard protocol that needs to be followed if the second user needs to have access to the first user, and the standard protocol that needs to be followed may be referred to as the first standard protocol. The first standard protocol may include a prescription information transfer standard protocol and a pharmacy inventory standard protocol. The prescription information transfer standard protocol may include at least one of how to invoke the prescription service, parameters required to invoke the prescription service, and results returned required to invoke the prescription service. The pharmacy inventory standard protocol may refer to a standard protocol that queries or locks the drug inventory of a pharmacy. The pharmacy inventory standard protocol may include how to invoke the query or lock medication inventory service, the parameters required to invoke the query or lock medication inventory service, and the results returned by the drugs required to invoke the query or lock medication inventory service.

According to an embodiment of the present disclosure, the second standard protocol may be used for a standard protocol that enables a third user to have pluggable access to the first user, i.e., a standard protocol that needs to be followed if the third user needs to have access to the first user, which standard protocol that needs to be followed may be referred to as the second standard protocol, and the second standard protocol may include a medication order standard protocol. The medication order standard protocol may include at least one of how to invoke the medication order service, parameters required to invoke the medication order service, and results required to be returned to invoke the medication order service.

According to an embodiment of the present disclosure, the first standard protocol and the second standard protocol may further include an output transport encryption protocol. The output transport encryption protocol may be a protocol generated according to an encryption algorithm. That is, the information transmitted between the second user and the third user and the first user, respectively, is processed according to the output transport encryption protocol. The transmitted information may include prescription information. By processing the prescription information by using the output transmission encryption protocol, the information security is improved.

According to the embodiment of the disclosure, the second user may generate the prescription information based on the first standard protocol, that is, the second user may process the medical information according to the content of the first standard protocol to obtain the prescription information. The medical information may include information related to at least one of a symptom, a disease, or a medication. The second user, after generating the prescription information, may send the prescription information to the first user, who determines whether the prescription information has been audited. The first user, if it is determined that the prescription information is approved, may send the prescription information to a third user, the third user being a user capable of processing the prescription information. The third user may process the prescription information based on the second standard protocol to generate a prescription order for the prescription information.

It should be noted that, in the technical solution of the embodiment of the present disclosure, the acquisition, storage, and application of the related medicine information, prescription information, and prescription order, etc., all conform to the regulations of the related laws and regulations, and necessary security measures are taken without violating the good customs of the public order.

According to an embodiment of the present disclosure, prescription information is received by a first user from a second user, the prescription information being generated by the second user based on a first standard protocol, a third user for processing the prescription information is determined in a case where it is determined that the prescription information is approved, and the prescription information is transmitted to the third user so that the third user generates a prescription order for the prescription information based on a second standard protocol. As standard protocols are utilized. Therefore, the second user and the third user can be plugged into the first user, the access cost is reduced, the access efficiency is improved, and the development amount of the first user is reduced, so that the technical problems that the second user and the third user have higher cost and lower access efficiency when accessing the first user, and the development amount of the first user is larger are at least partially solved.

According to an embodiment of the present disclosure, a first user is deployed at a private cloud device.

According to the embodiment of the disclosure, in the process of implementing the concept of the disclosure, it is also found that the prescription circulation platform is a local or public cloud-based solution, and there is a risk of being attacked by network security. To this end, a private cloud based cloud security solution is proposed, i.e. a first user may be deployed to a private cloud device. Correspondingly, in the prescription processing method of the embodiment of the disclosure, the first user stores the relevant information in the private cloud device.

According to the embodiment of the disclosure, the first user is deployed in the private cloud equipment, so that the risk that the prescription flow process is attacked by network security is reduced, and the security is improved.

According to an embodiment of the present disclosure, the first user is a node in a blockchain system.

In implementing the disclosed concept, it has also been found that prescription flow also presents security and difficult traceability issues, according to embodiments of the present disclosure. To this end, a solution based on blockchain technology is proposed, i.e. the first user may be a node in the blockchain system, thereby enabling the prescription processing scheme provided by the embodiments of the present disclosure to uplink storage.

According to the embodiment of the disclosure, the first user is set as the node of the block chain system, so that the traceability of the process is effectively ensured, and the safety is improved.

The method shown in fig. 2 is further described with reference to fig. 3-5 in conjunction with specific embodiments.

FIG. 3 schematically shows a flow chart for generating prescription information 300 according to an embodiment of the disclosure.

As shown in FIG. 3, the method includes operations S301-304.

In operation S301, a medical information query request is received, wherein the medical information query request includes medical information.

In operation S302, a triage result is determined according to the medical information.

In operation S303, a second user for processing the medical information is determined according to the triage result.

In operation S304, medical information is transmitted to the second user so that the second user generates prescription information according to the medical information.

According to the embodiment of the disclosure, in the process of realizing the concept of the disclosure, the lack of accurate patient discovery capability is also found, so that the full-process transformation effect is poor. Therefore, a patient identification and diversion scheme based on an inquiry scene is provided, diagnosis identification and prescription circulation are achieved, and the full-process conversion effect is effectively guaranteed.

According to an embodiment of the present disclosure, the medical information query request may be generated in case that it is detected that the query operation is triggered. The medical information query request may include medical information, which may include information related to at least one of a symptom, a disease, and a medication. For example, the medical information may be "how to treat a thyroid tumor".

According to an embodiment of the present disclosure, the triage result may refer to an identification result of a diagnosis department. The medical department may include a hospital department, such as department of general medicine, department of respiration, department of infection, department of thyroid, department of orthopaedics, department of cardiology, or department of obstetrics and gynecology. One or more users (i.e., doctors) correspond to each triage result, i.e., one or more users may be provided for each clinical department.

According to the embodiment of the disclosure, the first user may obtain the triage result according to the medical information, for example, may perform entity identification on the medical information to obtain the entity identification result, and determine the triage result according to the entity identification result. Alternatively, the medical information may be input into the triage model to obtain the triage result.

According to an embodiment of the present disclosure, the first user may determine the second user for processing the medical information according to the triage result, that is, if the user corresponding to the triage result includes a plurality of users, the second user for processing the medical information may be determined from the plurality of users according to a preset rule. The preset rules may include rules related to the user's practice experience, rules related to the user's medical condition, or randomly selected rules. The rules associated with the user's practice experience may include the user's field of practice and/or the year of practice. The rules associated with the user's clinical condition may include the user's clinical status and/or number of patients, and the clinical status may include whether the user is being treated or not treated. For example, a user with the smallest number of clinical visits is determined from the plurality of users according to the number of clinical visits of the users, and the user with the smallest number of clinical visits is determined as the second user for processing the medical information. Alternatively, the second user for processing the medical information may be randomly determined from a plurality of users.

According to the embodiment of the disclosure, the process of processing the medical information by the second user to generate the prescription information can be stored in the block chain, so that the process traceability is ensured.

Operation S302 may include the following operations according to an embodiment of the present disclosure.

And inputting the medical information into a triage model to obtain a triage result corresponding to the medical information, wherein the triage model is trained by using the medical information sample and the triage result sample.

According to the embodiment of the disclosure, the triage model can be obtained by training a preset model by using the medical information sample and the triage result sample. The preset model may be a classifier model, which may include a neural network model, a logistic regression model, or a random forest model, etc.

According to an embodiment of the present disclosure, training the triage model using the medical information sample and the triage result sample may include: and inputting the medical information sample into a preset model to obtain a prediction triage result corresponding to the medical information sample. And obtaining an output value by utilizing the prediction triage result and the triage result sample corresponding to the medical information sample based on the loss function, namely, inputting the prediction triage result and the triage result sample corresponding to the medical information sample into the loss function to obtain the output value. And adjusting the model parameters of the preset model according to the output value until the output value is converged. And determining the preset model obtained under the condition that the output value is converged as a triage model.

FIG. 4 schematically shows a flowchart for determining a third user 400 for processing prescription information, in accordance with an embodiment of the present disclosure.

As shown in fig. 4, the method includes operations S431 to S432.

In operation S431, pharmacy identifications associated with all the medicine identifications are queried from the medicine library according to all the medicine identifications included in the prescription information.

In operation S432, a user corresponding to the pharmacy identification associated with all the medicine identifications is determined as a third user for processing prescription information.

According to embodiments of the present disclosure, the prescription information may include one or more medication identifications. The drug library may include a drug identification and a pharmacy identification associated with the drug identification. The drug library may include drug catalog information corresponding to the drug identifier and/or outflow drug catalog information, where the drug catalog information may be obtained by a third user according to a preset drug catalog template, and the outflow drug catalog information may be obtained by a platform corresponding to the second user (i.e., an electronic device corresponding to the second user) according to a preset outflow drug catalog template. The drug library may be used to characterize the pharmacy with a pharmacy identifier. The drug identifier may be used to characterize the drug. That is, if a pharmacy has a medication, the pharmacy identification characterizing the pharmacy is associated with the medication identification characterizing the medication.

According to the embodiment of the disclosure, whether pharmacy identifications associated with all medicine identifications exist is inquired from the medicine library aiming at all medicine identifications included in the prescription information. If there are pharmacy identifications associated with all the drug identifications, the user corresponding to the pharmacy identification associated with all the drug identifications may be determined as the third user, that is, the pharmacy corresponding to the pharmacy identification, which may refer to the pharmacy characterized by the pharmacy identification associated with all the drug identifications, may be determined as the third user. The number of pharmacy identifications associated with all of the medication identifications may include one or more.

According to an embodiment of the present disclosure, if there is no pharmacy identifier associated with all the medication identifiers, processing may be performed according to preset processing rules. For example, at least two users may be selected as the third user for processing the prescription information, the pharmacy identification corresponding to each user having a partially associated medication identification, the at least two pharmacy identifications collectively enabling association with the entire medication identification.

Operation S432 may include the following operations according to an embodiment of the present disclosure.

In a case where it is determined that the number of pharmacy identifications associated with all the medicine identifications includes a plurality, a target pharmacy identification is determined from the plurality of pharmacy identifications according to a preset prescription distribution policy. The user corresponding to the target pharmacy identification is determined as a third user for processing the prescription information.

According to an embodiment of the present disclosure, the preset recipe distribution policy may include a weight coefficient-based distribution policy or a random distribution policy. Weight coefficient based distribution strategies the strategy of distributing according to the weight coefficients of objects, which may include pharmacies and/or medications, can be understood. That is, the weight coefficient-based distribution policy may include a pharmacy weight coefficient-based distribution policy, a medication weight coefficient-based distribution policy, or a pharmacy and medication weight coefficient-based distribution policy. The relationship between the size of the weight coefficient and the pharmacy identifier determined as the target pharmacy identifier may be configured according to actual business requirements, and is not limited herein. For example, the greater the weight coefficient, the greater the likelihood that the pharmacy identifier corresponding to the weight coefficient is determined to be the target pharmacy identifier. Alternatively, the smaller the weight coefficient, the less likely the pharmacy identifier corresponding to the weight coefficient is determined to be the target pharmacy identifier. A random distribution strategy may be understood as a random selection of one from a plurality, for example, the top one in a pharmacy list.

According to an embodiment of the present disclosure, determining a target pharmacy identifier from a plurality of pharmacy identifiers according to a pharmacy weighting coefficient-based distribution policy may include: determining a second weight coefficient of each pharmacy identifier in the plurality of pharmacy identifiers, sorting the second weight coefficients of each pharmacy identifier in the plurality of pharmacy identifiers to obtain a first sorting result, and determining a target pharmacy identifier from the plurality of pharmacy identifiers according to the first sorting result. The larger the weight coefficient is, the greater the possibility that the pharmacy identifier corresponding to the weight coefficient is determined to be the target pharmacy identifier. The sorting may include sorting according to the order of the second weight coefficients from small to large or sorting according to the order of the second weight coefficients from large to small. If the sorting is performed according to a second weight coefficient from small to large, and the second weight coefficient is larger, the pharmacy identifier corresponding to the weight coefficient is more likely to be determined as the target pharmacy identifier, determining the target pharmacy identifier from the plurality of pharmacy identifiers according to the first sorting result may include: and determining the pharmacy identification corresponding to the second weight coefficient at the last sequencing as the target pharmacy identification.

According to the embodiment of the disclosure, intelligent distribution of prescriptions is realized by determining the target pharmacy identification from the plurality of pharmacy identifications according to the preset prescription distribution strategy and determining the user corresponding to the target pharmacy identification as the third user for processing prescription information.

According to an embodiment of the present disclosure, determining a target pharmacy identifier from a plurality of pharmacy identifiers according to a preset prescription dispensing policy may include the following operations.

A first weight coefficient is determined for each drug identifier corresponding to each of a plurality of pharmacy identifiers. And determining a first weight coefficient sum corresponding to the pharmacy identification for each pharmacy identification in the plurality of pharmacy identifications, wherein the first weight coefficient sum is obtained by adding the first weight coefficients corresponding to the pharmacy identifications. And sequencing the plurality of first weight coefficient sums to obtain a sequencing result. And determining a target pharmacy identification from the plurality of pharmacy identifications according to the sequencing result.

According to an embodiment of the present disclosure, different pharmacies may set the same or different first weight coefficients for the same drug. That is, for a certain drug, for one or more pharmacies including the drug, each pharmacy may set a first weight coefficient corresponding to the pharmacy for the pharmacy, and the first weight coefficients set by different pharmacies may be the same or different.

According to an embodiment of the disclosure, determining the target pharmacy identifier from the plurality of pharmacy identifiers based on the distribution policy of the drug weight coefficient may include: for each of the all of the drug identifications, determining a first weight coefficient corresponding to the drug identification and each of the plurality of pharmacy identifications. And for each pharmacy identifier in the plurality of pharmacy identifiers, adding the first weight coefficients corresponding to the pharmacy identifier to obtain a first weight coefficient sum corresponding to the pharmacy identifier. And sequencing the plurality of first weight coefficients to obtain a sequencing result, and determining a target pharmacy identifier from the plurality of pharmacy identifiers according to the sequencing result. The sorting may include sorting by the first weight coefficient and in order from small to large or sorting by the first weight coefficient and in order from large to small.

For example, the prescription information may include a medication identification a, a medication identification b, and a medication identification c. The drug identifier associated with all the above drug identifiers includes a pharmacy identifier X, a pharmacy identifier Y, and a pharmacy identifier Z. The first weighting factor corresponding to each of the three drug identifiers and each of the three pharmacy identifiers is shown in table 1. The larger the first weight coefficient sum, the greater the likelihood that the pharmacy identification corresponding to the first weight coefficient sum is determined to be the target pharmacy identification.

Since the first weight coefficient sum corresponding to the pharmacy identifier X is 6, the first weight coefficient sum corresponding to the pharmacy identifier Y is 3, and the first weight coefficient sum corresponding to the pharmacy identifier Z is 9, 9 > 6 > 3, it is determined that the pharmacy identifier Z is the target pharmacy identifier.

TABLE 1

According to the embodiment of the disclosure, intelligent distribution of prescriptions is realized by determining the target pharmacy identification from the plurality of pharmacy identifications according to the medicine weight coefficient and determining the user corresponding to the target pharmacy identification as the third user for processing prescription information.

According to an embodiment of the present disclosure, the recipe processing method may further include the following operations.

A second weight coefficient for each of the plurality of pharmacy identifications is determined.

Sorting the plurality of first weight coefficient sums to obtain a sorting result may include the following operations.

And determining a weight product corresponding to the pharmacy identification, wherein the weight product is obtained by multiplying a second weight coefficient corresponding to the pharmacy identification by the first weight coefficient sum. And sequencing the multiple weight products to obtain a sequencing result.

According to an embodiment of the present disclosure, determining a target pharmacy identifier from a plurality of pharmacy identifiers based on a distribution policy of the medication and the pharmacy weight coefficient may include: for each pharmacy identifier of the plurality of pharmacy identifiers, a second weight coefficient of the pharmacy identifier is determined. And multiplying the first weight coefficient corresponding to the pharmacy identification by the second weight coefficient to obtain a weight product. The multiple weighted products are sorted to obtain a sorted result, which may be referred to as a second sorted result. The sorting may include sorting in order of the weight products from small to large or sorting in order of the weight products from large to small.

According to an embodiment of the present disclosure, determining a target pharmacy identifier from a plurality of pharmacy identifiers based on a distribution policy of the medication and the pharmacy weight coefficient may include: in the case where N pharmacy identifications are determined from the M pharmacy identifications according to the plurality of first weight coefficients and the second weight coefficient is determined for each of the N pharmacy identifications. And determining a target pharmacy identifier from the N pharmacy identifiers according to the N second weight coefficients, wherein N is more than or equal to 1 and less than or equal to M.

For example, the prescription information may include a medication identification e, a medication identification f, and a medication identification g. The drug identifier associated with all the above drug identifiers includes a pharmacy identifier X, a pharmacy identifier Y, and a pharmacy identifier W. A first weighting factor corresponding to each of the three drug identifiers and a second weighting factor corresponding to each of the three pharmacy identifiers are shown in table 2. The greater the weight product, the greater the likelihood that the pharmacy identification corresponding to the weight product is determined to be the target pharmacy identification.

Since the weight product corresponding to the pharmacy identifier X is 42, the weight product corresponding to the pharmacy identifier Y is 48, and the weight product corresponding to the pharmacy identifier W is 27, 48 > 42 > 27, the pharmacy identifier Y is determined to be the target pharmacy identifier.

TABLE 2

For example, the prescription information may include a medication identification h, a medication identification i, and a medication identification j. The drug identifications associated with all the above drug identifications include a pharmacy identification Y, a pharmacy identification V, and a pharmacy identification Z. A first weighting factor corresponding to each of the three drug identifiers and a second weighting factor corresponding to each of the three pharmacy identifiers are shown in table 3. The greater the weight product, the greater the likelihood that the pharmacy identification corresponding to the weight product is determined to be the target pharmacy identification.

Since the weight product corresponding to the pharmacy identifier Y is 48, the weight product corresponding to the pharmacy identifier V is 48, and the weight product corresponding to the pharmacy identifier Z is 15, 48 > 15, it is determined that the pharmacy identifier Y or the pharmacy identifier V is the target pharmacy identifier.

TABLE 3

According to the embodiment of the disclosure, intelligent distribution of prescriptions is realized by determining the target pharmacy identification from the plurality of pharmacy identifications according to the medicines and the pharmacy weight coefficient, and determining the user corresponding to the target pharmacy identification as the third user for processing prescription information.

FIG. 5 schematically shows a schematic diagram of a prescription processing procedure 500 according to an embodiment of the present disclosure.

As shown in fig. 5, a first user 501 receives a medical information query request, which includes medical information 502. The first user 501 inputs the medical information 502 into the triage model to obtain a triage result 503, determines a second user 504 for processing the medical information 502 according to the triage result 503, and sends the medical information 502 to the second user 504.

The second user 504 processes the medical information based on the first standard protocol, generates prescription information 505, and sends the prescription information 505 to the first user 501.

The first user 501 queries the pharmacy identifications associated with all the medicine identifications from the medicine library according to all the medicine identifications included in the prescription information 505, and determines the user corresponding to the pharmacy identification associated with all the medicine identifications as a third user 506 for processing the prescription information 505.

The third user 506 generates a prescription order 507 for the prescription information 505 based on the second standard protocol.

FIG. 6 schematically shows a flow diagram of a recipe processing method 600 according to another embodiment of the present disclosure.

As shown in fig. 6, the method includes operations S610 to S620.

In operation S610, the second user generates prescription information based on the first standard protocol.

In operation S620, prescription information is transmitted to the first user, such that the first user determines a third user for processing the prescription information in case that it is determined that the prescription information is approved, and the prescription information is transmitted to the third user, such that the third user processes the prescription information based on the second standard protocol, and generates a prescription order for the prescription information.

According to the embodiment of the disclosure, prescription information is generated by a second user based on a first standard protocol, the prescription information is sent to the first user, so that the first user determines a third user for processing the prescription information under the condition that the first user determines that the prescription information is approved, the prescription information is sent to the third user, so that the third user processes the prescription information based on the second standard protocol, and a prescription order aiming at the prescription information is generated. Due to the fact that the standard protocol is used, the second user and the third user can be connected into the first user in a pluggable mode, access cost is reduced, access efficiency is improved, and development amount of the first user is reduced.

Operation S610 may include the following operations according to an embodiment of the present disclosure.

And the second user receives a second user and medical information from the first user, wherein the second user is determined by the first user according to the triage result, and the triage result is determined by the first user receiving the medical information inquiry request and according to the medical information included in the medical information inquiry request. The second user processes the medical information based on the first standard protocol to generate prescription information.

According to an embodiment of the present disclosure, a platform corresponding to the second user (i.e., an electronic device corresponding to the second user) may obtain the outflow drug information to be stored. And processing the outflow drug information according to a preset outflow drug catalogue template to obtain the outflow drug catalogue information. The medication catalog information is sent to the first user such that the first user stores the outflowing medication catalog information to the medication library.

According to an embodiment of the disclosure, in order to be compatible with the drug information of the platform corresponding to the second user, the first user may construct a preset outflow drug catalog template, and the second user may process the outflow drug information by using the preset outflow drug catalog template to obtain the outflow drug catalog information.

According to an embodiment of the present disclosure, the preset out-flow medication catalog template may include a hospital identification and a medication identification. The drug identification may include at least one of a drug number, a drug name, and a drug generic name. The default efflux drug catalog template may further include at least one of a drug type, a dosage form, a classification, an approval document number, a drug specification, a packaging unit, a minimum unit, a manufacturer, a drug title, a drug order, and a drug retail price. The type of medicament may include western medicaments, Chinese patent medicaments or Chinese herbal medicaments. The dosage form may comprise granules or tablets. The classifications may include prescription drugs or non-prescription drugs.

According to embodiments of the present disclosure, the outflowing medication information may include a medication identifier. The drug identification may include at least one of a drug number, a drug name, and a drug generic name. The drug information may further include at least one of a drug type, a dosage form, a classification, an approval document number, a specification, a packaging unit, a minimum unit, a manufacturer, a drug local code, a drug order, and a drug retail price.

According to an embodiment of the present disclosure, the second user may obtain the outflow drug information to be stored, and the outflow drug information to be stored may be stored in a preset file. Determining whether the format of the preset file is abnormal, and if the format of the preset file is determined to be abnormal, receiving first prompt information from a first user, wherein the first prompt information can be used for prompting that the format of the preset file is incorrect and please reselect. If it is determined that the format of the preset file is normal, it may be determined whether the size of the preset file is greater than or equal to a size threshold.

And if the size of the preset file is determined to be larger than or equal to the size threshold, receiving second prompt information from the first user, wherein the second prompt information can be used for prompting that the size of the preset file is larger and please reselect.

If the size of the preset file is determined to be smaller than the size threshold, the to-be-stored outflow drug information may be processed, for example, the to-be-stored outflow drug information may be checked to determine whether the to-be-stored outflow drug information is abnormal. That is, the medicine home code included in the outflow medicine information to be stored may be checked. The outflowing drug information to be stored may also be verified for at least one of a drug name, a drug generic name, an approval document number, a specification, and a manufacturer's home.

If the outflow drug information to be stored is determined to be abnormal, the storage result may be rewritten according to the data line of the outflow drug information. If the outflow drug information to be stored is determined to be normal, whether outflow drug catalog information corresponding to the outflow drug information exists in the drug library or not can be determined, if the outflow drug catalog information corresponding to the outflow drug information does not exist, the outflow drug information can be processed according to a preset outflow drug catalog template to obtain the outflow drug catalog information, namely, the contents of all fields included by the outflow drug information are written into the fields corresponding to the preset outflow drug catalog template to obtain the outflow drug catalog information. If the type of the medicine is western medicine or Chinese patent medicine, the dosage form included by the outflow medicine information can be written into the corresponding field of the preset outflow medicine catalogue template. If the medicine type is western medicine or Chinese medicine, the classification included by the outflow medicine information can be written into the corresponding field of the preset outflow medicine catalogue template.

According to an embodiment of the present disclosure, the second user may transmit the outgoing drug catalog information to the first user after obtaining the outgoing drug catalog information, so that the first user may store the outgoing drug catalog information to the drug library. In the case of storing the outgoing drug catalog information to the drug library, a library code corresponding to the outgoing drug catalog information may also be generated, i.e., the outgoing drug catalog information may be stored in association with the library code.

FIG. 7 schematically illustrates a flow diagram of a recipe processing method 700 according to another embodiment of the present disclosure.

As shown in fig. 7, the method includes operations S710 to S720.

In operation S710, a third user receives prescription information from a first user, wherein the prescription information is generated by the second user based on a first standard protocol.

In operation S720, the prescription information is processed based on the second standard protocol, and a prescription order for the prescription information is generated.

According to an embodiment of the present disclosure, prescription information is received from a first user by a third user, the prescription information being generated by the second user based on a first standard protocol, and the prescription information is processed based on a second standard protocol to generate a prescription order for the prescription information. Due to the fact that the standard protocol is used, the second user and the third user can be connected into the first user in a pluggable mode, access cost is reduced, access efficiency is improved, and development amount of the first user is reduced.

Drug information to be stored is obtained. And processing the medicine information according to a preset medicine catalog template to obtain medicine catalog information, wherein the medicine catalog information comprises a medicine identifier and a pharmacy identifier. The method comprises the steps of sending medicine catalog information to a first user, enabling the first user to store the medicine catalog information to a medicine library, inquiring pharmacy identifications associated with all medicine identifications from the medicine library according to all medicine identifications included in prescription information, and determining users corresponding to the pharmacy identifications associated with all medicine identifications as third users for processing the prescription information.

According to an embodiment of the disclosure, in order to be compatible with the drug information of the third user, the first user may construct a preset drug catalog template, and the third user may process the drug information by using the preset drug catalog template to obtain the drug catalog information.

According to an embodiment of the present disclosure, the preset medication catalog template may include a pharmacy identification and a medication identification. The drug identification may include at least one of a drug number, a drug name, and a drug generic name. The preset drug catalog template may further include at least one of a drug type, a dosage form, a classification, an approval document number, a drug specification, a packaging unit, a minimum unit, a manufacturer, a drug order code, a drug order price, and a drug retail price. The type of medicament may include western medicaments, Chinese patent medicaments or Chinese herbal medicaments. The dosage form may comprise granules or tablets. The classifications may include prescription drugs or non-prescription drugs.

According to an embodiment of the present disclosure, the medication information may include a medication identification. The drug identification may include at least one of a drug number, a drug name, and a drug generic name. The drug information may further include at least one of a drug type, a dosage form, a classification, an approval document number, a specification, a packaging unit, a minimum unit, a manufacturer, a drug local code, a drug order, and a drug retail price.

According to the embodiment of the present disclosure, the third user may acquire the medicine information to be stored, and the medicine information to be stored may be stored in a preset file. Determining whether the format of the preset file is abnormal, and if the format of the preset file is determined to be abnormal, receiving first prompt information from a first user, wherein the first prompt information can be used for prompting that the format of the preset file is incorrect and please reselect. If it is determined that the format of the preset file is normal, it may be determined whether the size of the preset file is greater than or equal to a size threshold.

If the size of the preset file is smaller than the size threshold, the to-be-stored drug information may be processed, for example, the to-be-stored drug information may be checked to determine whether the to-be-stored drug information is abnormal. That is, the medicine home code included in the medicine information to be stored may be checked. The drug information to be stored may also be verified to include at least one of a drug name, a drug generic name, an approval document number, a specification, and a manufacturer's home.

If the medicine information to be stored is determined to be abnormal, the storage result can be rewritten according to the data line of the medicine information. If the medicine information to be stored is determined to be normal, whether the medicine catalog information corresponding to the medicine information exists in the medicine library or not can be determined, if the medicine catalog information corresponding to the medicine information does not exist, the medicine information can be processed according to a preset medicine catalog template to obtain the medicine catalog information, namely, the content of each field included in the medicine information is written into the field corresponding to the preset medicine catalog template to obtain the medicine catalog information. If the type of the drug is western drug or Chinese patent drug, the dosage form included in the drug information can be written into the corresponding field of the preset drug directory template. If the drug type is western drug or Chinese drug, the classification included in the drug information can be written into the corresponding field of the preset drug catalog template.

According to the embodiment of the disclosure, after obtaining the medicine catalog information, the third user may send the medicine catalog information to the first user, so that the first user may store the medicine catalog information to the medicine library, so that the first user may query the pharmacy identifications associated with all the medicine identifications from the medicine library according to all the medicine identifications included in the prescription information, and determine the user corresponding to the pharmacy identification associated with all the medicine identifications as the third user for processing the prescription information. In the case of storing the drug catalog information to the drug library, a library code corresponding to the drug catalog information may also be generated, i.e., the drug catalog information may be stored in association with the library code.

FIG. 8 schematically illustrates a block diagram of a prescription processing apparatus 800 according to an embodiment of the present disclosure.

As shown in fig. 8, the prescription processing apparatus 800 may include a first receiving module 810, a first determining module 820, and a first transmitting module 830.

A first receiving module 810 for a first user to receive prescription information from a second user, wherein the prescription information is generated by the second user based on a first standard protocol.

A first determining module 820 for determining a third user for processing the prescription information in case that it is determined that the prescription information is approved.

The first sending module 830 is configured to send the prescription information to the third user, so that the third user generates a prescription order for the prescription information based on the second standard protocol.

According to an embodiment of the present disclosure, the prescription processing apparatus 900 may further include a second receiving module, a second determining module, a third determining module, and a second sending module.

The second receiving module is used for receiving a medical information query request, wherein the medical information query request comprises medical information.

And the second determination module is used for determining the triage result according to the medical information.

And the third determining module is used for determining a second user for processing the medical information according to the triage result.

And the second sending module is used for sending the medical information to the second user so that the second user generates the prescription information according to the medical information.

According to an embodiment of the present disclosure, the second determining module may include an obtaining sub-module.

And the obtaining submodule is used for inputting the medical information into the triage model to obtain a triage result corresponding to the medical information, wherein the triage model is trained by using the medical information sample and the triage result sample.

According to an embodiment of the present disclosure, the first determination module 820 may include a query submodule and a first determination submodule.

And the query sub-module is used for querying pharmacy identifications associated with all the medicine identifications from the medicine library according to all the medicine identifications included in the prescription information.

A first determination sub-module for determining a user corresponding to the pharmacy identification associated with all the medication identifications as a third user for processing the prescription information.

According to an embodiment of the present disclosure, the first determination submodule may include a first determination unit and a second determination unit.

A first determination unit configured to determine a target pharmacy identification from the plurality of pharmacy identifications according to a preset prescription distribution policy, in a case where it is determined that the number of pharmacy identifications associated with all the medicine identifications includes a plurality.

A second determination unit for determining the user corresponding to the target pharmacy identification as a third user for processing the prescription information.

According to an embodiment of the present disclosure, the first determination unit may include a first determination subunit, a second determination subunit, an ordering subunit, and a third determination subunit.

The first determining subunit is used for determining a first weighting coefficient corresponding to each medicine identifier and each pharmacy identifier in the plurality of pharmacy identifiers.

The second determining subunit is configured to determine, for each of the plurality of pharmacy identifiers, a first weight coefficient sum corresponding to the pharmacy identifier, where the first weight coefficient sum is obtained by adding the first weight coefficients corresponding to the pharmacy identifiers.

And the sorting subunit is used for sorting the plurality of first weight coefficient sums to obtain a sorting result.

And the third determining subunit is used for determining the target pharmacy identifier from the plurality of pharmacy identifiers according to the sorting result.

According to an embodiment of the present disclosure, the prescription processing apparatus 800 may further include a fourth determination module.

A fourth determination module to determine a second weight coefficient for each of the plurality of pharmacy identifications.

The ordering subunit may be to: and determining a weight product corresponding to the pharmacy identification, wherein the weight product is obtained by multiplying a second weight coefficient corresponding to the pharmacy identification by the first weight coefficient sum. And sequencing the multiple weight products to obtain a sequencing result.

According to an embodiment of the present disclosure, a first user, an electronic device corresponding to a second user, and an electronic device corresponding to a third user are nodes in a blockchain system.

FIG. 9 schematically illustrates a block diagram of a prescription processing apparatus 900 according to another embodiment of the present disclosure.

As shown in fig. 9, the prescription processing apparatus 900 may include a generation module 910 and a third transmission module 920.

A generating module 910, configured to generate prescription information based on the first standard protocol by the second user.

A third sending module 920, configured to send the prescription information to the first user, so that the first user determines a third user for processing the prescription information if it is determined that the prescription information is approved, and send the prescription information to the third user, so that the third user processes the prescription information based on the second standard protocol, and generates a prescription order for the prescription information.

According to an embodiment of the present disclosure, the generating module 910 may include a receiving sub-module and a generating sub-module.

And the receiving submodule is used for receiving a second user and medical information from the first user by the second user, wherein the second user is determined by the first user according to the triage result, and the triage result is determined by the first user receiving the medical information inquiry request and according to the medical information included in the medical information inquiry request.

And the generation submodule is used for processing the medical information by the second user based on the first standard protocol to generate the prescription information.

Fig. 10 schematically shows a block diagram of a prescription processing apparatus 1000 according to another embodiment of the present disclosure.

As shown in fig. 10, the prescription processing apparatus 1000 may include a third receiving module 1010 and a second generating module 1020.

A third receiving module 1010, configured to receive prescription information from the first user by a third user, wherein the prescription information is generated by the second user based on the first standard protocol.

A second generating module 1020 for processing the prescription information based on a second standard protocol to generate a prescription order for the prescription information.

According to an embodiment of the present disclosure, the prescription processing apparatus 1000 may further include an obtaining module, and a fourth sending module.

And the acquisition module is used for acquiring the information of the medicine to be stored.

The obtaining module is used for processing the medicine information according to a preset medicine catalog template to obtain medicine catalog information, wherein the medicine catalog information comprises medicine identification and pharmacy identification.

The fourth sending module is used for sending the medicine catalog information to the first user so that the first user stores the medicine catalog information to the medicine library, inquiring pharmacy identifications associated with all the medicine identifications from the medicine library according to all the medicine identifications included in the prescription information, and determining the user corresponding to the pharmacy identifications associated with all the medicine identifications as a third user for processing the prescription information.

The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.

According to an embodiment of the present disclosure, an electronic device includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method as described above.

According to an embodiment of the present disclosure, a non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method as described above.

According to an embodiment of the disclosure, a computer program product comprising a computer program which, when executed by a processor, implements the method as described above.

FIG. 11 schematically illustrates a block diagram of an electronic device 1100 adapted to implement a recipe processing method in accordance with an embodiment of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 11, the electronic device 1100 includes a computing unit 1101, which can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)1102 or a computer program loaded from a storage unit 1108 into a Random Access Memory (RAM) 1103. In the RAM 1103, various programs and data necessary for the operation of the electronic device 1100 may also be stored. The calculation unit 1101, the ROM 1102, and the RAM 1103 are connected to each other by a bus 1104. An input/output (I/O) interface 1105 is also connected to bus 1104.

A number of components in electronic device 1100 connect to I/O interface 1105, including: an input unit 1106 such as a keyboard, a mouse, and the like; an output unit 1107 such as various types of displays, speakers, and the like; a storage unit 1108 such as a magnetic disk, optical disk, or the like; and a communication unit 1109 such as a network card, a modem, a wireless communication transceiver, and the like. The communication unit 1109 allows the device 1100 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.

The computing unit 1101 can be a variety of general purpose and/or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 1101 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and the like. The calculation unit 1101 performs the respective methods and processes described above, such as the recipe processing method. For example, in some embodiments, the recipe processing method can be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 1108. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 1100 via the ROM 1102 and/or the communication unit 1109. When the computer program is loaded into the RAM 1103 and executed by the computing unit 1101, one or more steps of the recipe processing method described above may be performed. Alternatively, in other embodiments, the computing unit 1101 may be configured to perform the recipe processing method by any other suitable means (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server with a combined blockchain.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.

The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.

Claims

1. A prescription processing method, comprising:

a first user receiving prescription information from a second user, wherein the prescription information is generated by the second user based on a first standard protocol;

in the event that it is determined that the prescription information is approved, determining a third user for processing the prescription information; and

sending the prescription information to the third user to cause the third user to generate a prescription order for the prescription information based on a second standard protocol.

2. The method of claim 1, further comprising:

receiving a medical information query request, wherein the medical information query request comprises medical information;

determining triage results according to the medical information;

determining a second user for processing the medical information according to the triage result; and

sending the medical information to the second user to enable the second user to generate the prescription information according to the medical information.

3. The method of claim 2, wherein the determining a triage result corresponding to the medical information comprises:

and inputting the medical information into a triage model to obtain a triage result corresponding to the medical information, wherein the triage model is trained by using medical information samples and triage result samples.

4. The method of any of claims 1-3, wherein the determining a third user for processing the prescription information comprises:

inquiring pharmacy identifications associated with all the medicine identifications from a medicine library according to all the medicine identifications included in the prescription information; and

determining a user corresponding to a pharmacy identification associated with all of the medication identifications as a third user for processing the prescription information.

5. The method of claim 4, wherein the determining the user corresponding to the pharmacy identification associated with all of the medication identifications as a third user for processing the prescription information comprises:

determining a target pharmacy identification from the plurality of pharmacy identifications according to a preset prescription distribution strategy in the case that the number of pharmacy identifications associated with all the medicine identifications is determined to comprise a plurality of pharmacy identifications; and

determining the user corresponding to the target pharmacy identification as a third user for processing the prescription information.

6. The method of claim 5, wherein said determining a target pharmacy identifier from a plurality of said pharmacy identifiers according to a preset prescription dispensing policy comprises:

determining a first weight coefficient corresponding to each drug identifier and each pharmacy identifier in a plurality of pharmacy identifiers;

determining a first weight coefficient sum corresponding to the pharmacy identification for each of the plurality of pharmacy identifications, wherein the first weight coefficient sum is obtained by adding the first weight coefficients corresponding to the pharmacy identifications;

sequencing the plurality of first weight coefficient sums to obtain a sequencing result; and

and determining the target pharmacy identification from the plurality of pharmacy identifications according to the sequencing result.

7. The method of claim 6, further comprising:

determining a second weight coefficient for each of the plurality of pharmacy identifications;

the sorting the plurality of first weight coefficient sums to obtain a sorting result includes:

determining a weight product corresponding to the pharmacy identification, wherein the weight product is obtained by multiplying a second weight coefficient corresponding to the pharmacy identification by a first weight coefficient sum; and

and sequencing the multiple weight products to obtain the sequencing result.

8. The method of any of claims 1-7, wherein the first user is deployed to a private cloud appliance.

9. The method of any of claims 1-8, wherein the first user is a node in a blockchain system.

10. A prescription processing method, comprising:

the second user generates prescription information based on the first standard protocol; and

sending the prescription information to a first user, so that the first user determines a third user for processing the prescription information under the condition that the first user determines that the prescription information is approved, and sending the prescription information to the third user, so that the third user processes the prescription information based on a second standard protocol, and generates a prescription order aiming at the prescription information.

11. The method of claim 10, wherein the second user generates prescription information based on a first standard protocol, comprising:

the second user receives a second user and medical information from the first user, wherein the second user is determined by the first user according to a triage result, and the triage result is determined by the first user receiving a medical information query request according to the medical information included in the medical information query request; and

the second user processes the medical information based on a first standard protocol, generating the prescription information.

12. A prescription processing method, comprising:

the third user receives prescription information from the first user, wherein the prescription information is generated by the second user based on the first standard protocol; and

processing the prescription information based on a second standard protocol, generating a prescription order for the prescription information.

13. The method of claim 12, further comprising:

acquiring information of a medicament to be stored;

processing the medicine information according to a preset medicine catalog template to obtain medicine catalog information, wherein the medicine catalog information comprises a medicine identifier and a pharmacy identifier; and

the medicine catalog information is sent to the first user, so that the first user stores the medicine catalog information to a medicine library, pharmacy identifications associated with all the medicine identifications are inquired from the medicine library according to all the medicine identifications included in the prescription information, and the user corresponding to the pharmacy identification associated with all the medicine identifications is determined as a third user for processing the prescription information.

14. A prescription processing apparatus comprising:

the first receiving module is used for a first user to receive prescription information from a second user, wherein the prescription information is generated by the second user based on a first standard protocol;

the first determination module is used for determining a third user for processing the prescription information under the condition that the prescription information is determined to be approved; and

a first sending module, configured to send the prescription information to the third user, so that the third user generates a prescription order for the prescription information based on a second standard protocol.

15. The apparatus of claim 14, further comprising:

a second receiving module, configured to receive a medical information query request, where the medical information query request includes medical information;

the second determination module is used for determining a triage result according to the medical information;

a third determining module, configured to determine, according to the triage result, a second user for processing the medical information; and

the second sending module is used for sending the medical information to the second user so that the second user can generate the prescription information according to the medical information.

16. A prescription processing apparatus comprising:

the generating module is used for generating prescription information by a second user based on a first standard protocol; and

the third sending module is used for sending the prescription information to the first user, so that the first user determines a third user for processing the prescription information under the condition that the first user determines that the prescription information is approved, and sending the prescription information to the third user, so that the third user processes the prescription information based on a second standard protocol, and a prescription order aiming at the prescription information is generated.

17. A prescription processing apparatus comprising:

the third receiving module is used for receiving prescription information from the first user by a third user, wherein the prescription information is generated by the second user based on the first standard protocol; and

and the second generation module is used for processing the prescription information based on a second standard protocol and generating a prescription order aiming at the prescription information.

18. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 9, 10 or 11, 12 or 13.

19. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-9, 10 or 11, 12 or 13.

20. A computer program product comprising a computer program which, when executed by a processor, implements the method of any one of claims 1 to 9, 10 or 11, 12 or 13.