CN116703280A - Drug order generation method, device, computer equipment and readable storage medium - Google Patents
Drug order generation method, device, computer equipment and readable storage medium Download PDFInfo
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Abstract
The application discloses a method, a device, computer equipment and a readable storage medium for generating a medicine order, which relate to the technical field of intelligent medical treatment, and are used for carrying out strategy adjustment on emergency by classifying existing symptoms, recommending a short-time and short-distance delivery mode and generating the medicine order, so as to provide differentiated delivery service for users, shorten the delivery time, improve the delivery efficiency and meet the medication timeliness of the users. The method comprises the following steps: responding to the medicine taking request, acquiring diagnosis information indicated by the medicine taking request, and identifying whether the diagnosis information comprises an emergency mark or not; when the identification and determination diagnosis information comprises an emergency mark, determining at least one designated distribution mode in a plurality of preset distribution modes; selecting a designated delivery mode with the shortest delivery distance from at least one designated delivery mode as a first target delivery mode; and generating a first medicine order by adopting a first target delivery mode, and sending the first medicine order to a terminal held by a user initiating a medicine acquisition request.
Description
Technical Field
The application relates to the technical field of intelligent medical treatment, in particular to a method and a device for generating a medicine order, computer equipment and a readable storage medium.
Background
With the rapid development and development of internet diagnosis and treatment and medical e-commerce services, the demand for medical logistics services is rapidly increased. Because the medicine logistics service has the characteristics of diversification, order fragmentation, distribution ending and the like, medicines can be distributed more reasonably and economically on storage and transportation, the storage and transportation cost is reduced, the distribution time of users when the medicines are consumed is reduced, and the problem that residents run away due to overlong waiting time when emergency demands exist is solved.
Related art performance schemes for dispensing medications include O2O (Online To Offline, online offline/online to offline), center bin, city bin, self-contained B2C (Business To Customer, merchant to customer), and the like. After a doctor inquires and prescribes medicines, the medicine taking system comprehensively recommends and executes a store according to medicine purchasing information such as medicines and delivery addresses of users and generates medicine orders. The existing comprehensive delivery recommended scheme is a central bin > city bin > B2C > O2O, but the applicant realizes that the unified delivery recommended scheme is not flexible enough, and the generated medicine orders can not meet the medicine aging requirements of different scenes, so that the medicine delivery time is long and the delivery efficiency is low.
Disclosure of Invention
In view of this, the present application provides a method, apparatus, computer device and readable storage medium for generating a drug order, which mainly aims to solve the problems of long drug delivery time and low delivery efficiency caused by the fact that the unified delivery recommendation scheme is not flexible enough and the generated drug order cannot meet the drug aging requirements of different scenes.
According to a first aspect of the present application, there is provided a method of generating a pharmaceutical order, the method comprising:
responding to a medicine acquisition request, acquiring diagnosis information indicated by the medicine acquisition request, and identifying whether the diagnosis information comprises an emergency mark or not;
when the diagnosis information is identified and determined to comprise an emergency mark, determining at least one designated distribution mode in a plurality of preset distribution modes, wherein the estimated distribution time length of the designated distribution mode is less than or equal to a time length threshold;
determining the distribution distance of each designated distribution mode, and selecting a designated distribution mode with the shortest distribution distance from the at least one designated distribution mode as a first target distribution mode;
and generating a first medicine order by adopting the first target delivery mode, and sending the first medicine order to a terminal held by a user who initiates the medicine taking request.
Optionally, the method further includes, in response to the medicine taking request, acquiring diagnosis information indicated by the medicine taking request, and before identifying whether the diagnosis information includes the emergency identifier, the method further includes:
acquiring medical condition standards, and generating emergency recognition rules according to the medical condition standards;
identifying medical conditions conforming to the acute disease identification rule in a database as acute conditions, and obtaining a plurality of acute conditions;
and obtaining an emergency mark, marking the plurality of acute symptoms by adopting the emergency mark, and storing the marked plurality of acute symptoms into the database.
Optionally, the method further comprises:
when at least one medical condition to be identified is received, which is input by medical staff based on a held terminal, extracting the medical condition to be identified, which accords with the emergency identification rule, from the at least one medical condition to be identified as an acute condition to be updated;
and marking the acute illness to be updated by adopting the acute illness mark, and storing the marked acute illness to be updated into the database.
Optionally, the method further includes, in response to the medicine taking request, acquiring diagnosis information indicated by the medicine taking request, and before identifying whether the diagnosis information includes the emergency identifier, the method further includes:
Acquiring prescription information uploaded by medical staff based on a held terminal, and identifying at least one medical condition to be confirmed included in the prescription information;
comparing the at least one medical condition to be confirmed to a plurality of acute conditions comprised by a database;
extracting a medical condition to be confirmed, which belongs to an acute condition, from the at least one medical condition to be confirmed as a target condition when the comparison determines that the medical condition to be confirmed, which belongs to the acute condition, exists in the at least one medical condition to be confirmed;
obtaining an emergency mark, and marking the target disease by adopting the emergency mark in the prescription information to obtain the diagnosis information;
reading a user identifier from the diagnosis information, and transmitting the diagnosis information to a user terminal indicated by the user identifier;
and when detecting that the user requests to get the medicine based on the diagnosis information, determining that the medicine getting request is received.
Optionally, after the identifying whether the diagnosis information includes the emergency identifier, the method further includes:
when the diagnosis information is identified and determined to not comprise the emergency mark, determining the distribution mode priority, and sequencing the plurality of preset distribution modes according to the distribution mode priority to obtain a sequencing result;
And determining a preset delivery mode arranged at the top in the sorting result as a second target delivery mode, generating a second medicine order by adopting the second target delivery mode, and sending the second medicine order to a terminal held by a user initiating the medicine receiving request.
Optionally, the generating the first drug order by using the first target delivery mode includes:
acquiring address information of the user, determining a first target store associated with the first target delivery mode, and acquiring a first estimated delivery duration and a first delivery distance corresponding to the first target delivery mode;
reading the medicine name and the medicine quantity from the diagnosis information, and generating an initial order by using the address information, the medicine name, the medicine quantity, the first target store, the first estimated delivery duration and the first delivery distance;
and acquiring a first delivery identifier corresponding to the first target delivery mode, and marking the initial order by adopting the first delivery identifier to obtain the first medicine order.
Optionally, the method further comprises:
creating at least one extension item in the first drug order, and linking a specified delivery mode other than the target delivery mode of the at least one specified delivery mode to each extension item;
When the user triggering a target extension item based on a held terminal is detected, taking a designated delivery mode linked with the target extension item as a delivery mode to be displayed, wherein the target extension item is any extension item in the at least one extension item;
determining a second target store associated with the delivery mode to be displayed, and acquiring a second estimated delivery duration and a second delivery distance corresponding to the delivery mode to be displayed;
generating an expansion page by using the address information, the medicine name, the medicine quantity, the second target store, the second estimated delivery duration and the second delivery distance;
and acquiring a second distribution identifier corresponding to the distribution mode to be displayed, marking the expansion page by adopting the second distribution identifier, and sending the marked expansion page to a terminal held by the user so that the terminal displays the marked expansion page.
According to a second aspect of the present application, there is provided a drug order generation apparatus, the apparatus comprising:
the identification module is used for responding to the medicine taking request, acquiring diagnosis information indicated by the medicine taking request and identifying whether the diagnosis information comprises an emergency mark or not;
The determining module is used for determining at least one designated distribution mode in a plurality of preset distribution modes when the diagnosis information is identified and determined to comprise the emergency mark, and the estimated distribution time length of the designated distribution mode is smaller than or equal to a time length threshold value;
the selection module is used for determining the distribution distance of each specified distribution mode, and selecting a specified distribution mode with the shortest distribution distance from the at least one specified distribution mode as a first target distribution mode;
and the generation module is used for generating a first medicine order by adopting the first target delivery mode and sending the first medicine order to a terminal held by a user who initiates the medicine acquisition request.
Optionally, the generating module is configured to obtain address information of the user, determine a first target store associated with the first target delivery mode, and obtain a first estimated delivery duration and a first delivery distance corresponding to the first target delivery mode; reading the medicine name and the medicine quantity from the diagnosis information, and generating an initial order by using the address information, the medicine name, the medicine quantity, the first target store, the first estimated delivery duration and the first delivery distance; and acquiring a first delivery identifier corresponding to the first target delivery mode, and marking the initial order by adopting the first delivery identifier to obtain the first medicine order.
Optionally, the generating module is further configured to create at least one extension item in the first drug order, and link a specified delivery mode other than the target delivery mode of the at least one specified delivery mode to each extension item; when the user triggering a target extension item based on a held terminal is detected, taking a designated delivery mode linked with the target extension item as a delivery mode to be displayed, wherein the target extension item is any extension item in the at least one extension item; determining a second target store associated with the delivery mode to be displayed, and acquiring a second estimated delivery duration and a second delivery distance corresponding to the delivery mode to be displayed; generating an expansion page by using the address information, the medicine name, the medicine quantity, the second target store, the second estimated delivery duration and the second delivery distance; and acquiring a second distribution identifier corresponding to the distribution mode to be displayed, marking the expansion page by adopting the second distribution identifier, and sending the marked expansion page to a terminal held by the user so that the terminal displays the marked expansion page.
Optionally, the apparatus further comprises:
the marking module is used for acquiring medical condition standards and generating an emergency recognition rule according to the medical condition standards; identifying medical conditions conforming to the acute disease identification rule in a database as acute conditions, and obtaining a plurality of acute conditions; and obtaining an emergency mark, marking the plurality of acute symptoms by adopting the emergency mark, and storing the marked plurality of acute symptoms into the database.
The comparison module is used for acquiring prescription information uploaded by medical staff based on the held terminal and identifying at least one medical condition to be confirmed included in the prescription information; comparing the at least one medical condition to be confirmed to a plurality of acute conditions comprised by a database; extracting a medical condition to be confirmed, which belongs to an acute condition, from the at least one medical condition to be confirmed as a target condition when the comparison determines that the medical condition to be confirmed, which belongs to the acute condition, exists in the at least one medical condition to be confirmed; obtaining an emergency mark, and marking the target disease by adopting the emergency mark in the prescription information to obtain the diagnosis information; reading a user identifier from the diagnosis information, and transmitting the diagnosis information to a user terminal indicated by the user identifier; and when detecting that the user requests to get the medicine based on the diagnosis information, determining that the medicine getting request is received.
The sorting module is used for determining the distribution mode priority when the diagnosis information is identified and determined to not comprise the emergency mark, and sorting the plurality of preset distribution modes according to the distribution mode priority to obtain a sorting result; and determining a preset delivery mode arranged at the top in the sorting result as a second target delivery mode, generating a second medicine order by adopting the second target delivery mode, and sending the second medicine order to a terminal held by a user initiating the medicine receiving request.
Optionally, the labeling module is further configured to, when receiving at least one medical condition to be identified input by medical personnel based on the held terminal, extract, from the at least one medical condition to be identified, a medical condition to be identified that meets the acute disease identification rule as an acute condition to be updated; and marking the acute illness to be updated by adopting the acute illness mark, and storing the marked acute illness to be updated into the database.
According to a third aspect of the present application there is provided a computer device comprising a memory storing a computer program and a processor implementing the steps of the method of any of the first aspects described above when the computer program is executed by the processor.
According to a fourth aspect of the present application there is provided a readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the method of any of the first aspects described above.
By means of the technical scheme, the method, the device, the computer equipment and the readable storage medium for generating the medicine orders are used for responding to the medicine getting request, obtaining diagnosis information indicated by the medicine getting request, identifying whether emergency marks are included in the diagnosis information, determining at least one designated distribution mode in a plurality of preset distribution modes when the emergency marks are included in the diagnosis information, determining the estimated distribution time length of the designated distribution mode to be smaller than or equal to a time length threshold value, determining the distribution distance of each designated distribution mode, selecting the designated distribution mode with the shortest distribution distance in the at least one designated distribution mode as a first target distribution mode, generating the first medicine order by adopting the first target distribution mode, transmitting the first medicine order to a terminal held by a user initiating the medicine getting request, and performing policy adjustment of a store for emergency through classifying existing symptoms.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 is a schematic flow chart of a method for generating a drug order according to an embodiment of the present application;
FIG. 2A is a flow chart of a method for generating a drug order according to an embodiment of the present application;
FIG. 2B is a schematic diagram of a disease marking provided by an embodiment of the present application;
FIG. 2C illustrates a schematic diagram of prescription generation provided by an embodiment of the present application;
FIG. 2D is a schematic diagram of a drug order provided by an embodiment of the present application;
FIG. 2E illustrates a flow chart for generating a drug order according to an embodiment of the present application;
FIG. 2F is a schematic flow chart of generating a drug order according to an embodiment of the present application;
FIG. 3A is a schematic diagram of a drug order generation structure according to an embodiment of the present application;
FIG. 3B is a schematic diagram of a drug order generation structure according to an embodiment of the present application;
fig. 4 shows a schematic device structure of a computer device according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the application to those skilled in the art.
The embodiment of the application provides a method for generating a medicine order, as shown in fig. 1, comprising the following steps:
101. in response to the medicine taking request, the diagnosis information indicated by the medicine taking request is acquired, and whether the diagnosis information includes an emergency mark or not is identified.
The different ageing performance schemes currently included are O2O, a central bin, a city bin and self-operating B2C. The O2O distribution mode is that a third party cooperated merchant distributes through a rider, and the third party cooperated merchant can deliver the O2O in 1 hour at the highest speed; the central warehouse delivery mode is that a third party cooperated merchant operated by a platform is delivered, and the delivery is generally carried out for 1-2 hours; the urban warehouse delivery mode is also a third party cooperative merchant operated by a platform instead of the third party, generally requires 1-2 days, and can be delivered in the same day at the highest speed; the self-contained B2C delivery mode is that self-contained merchants deliver the delivery, and the delivery is generally carried out for about 3 days. The scheme of the system recommending a delivery mode for users is unified as a central bin > city bin > B2C > O2O, however, the fixed recommendation scheme can cause the problem of long delivery time, and can not meet the requirements of some users who need to take medicines as soon as possible.
In order to solve the problem, the application provides a method for generating a medicine order, which classifies the existing disease symptoms in advance, selects the emergency symptoms and marks the emergency symptoms, so that after a doctor inquires about the medicine, the system can identify whether the marked emergency symptoms exist according to the diagnosis result of the doctor. For the users with emergency symptoms, the system can recommend the optimal delivery mode and the execution store according to the delivery time and the delivery distance, and deliver the medicines to the users as soon as possible, so that the treatment of the users is prevented from being delayed. The execution subject of the application can be medical APP (Application program), which provides services for users by means of the computing power of a server, and the server can be an independent server, or can provide cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery network (Content Delivery Network, CDN), and servers for basic cloud computing such as big data and artificial intelligent platform, so as to provide differentiated services of medicine performance for the users according to the diagnosis information of the users.
In the embodiment of the application, the medical APP provides functions such as on-line inquiry, on-line consultation and the like for the user, the user can download the medical APP on the held terminal so as to further use the functions of the medical APP, and the terminal can be a private terminal such as a mobile phone, a tablet personal computer, an intelligent watch and the like. In the medical APP, when a user performs on-line inquiry through an on-line inquiry function, a doctor can diagnose and prescribe medicine according to the disease condition of the user, and then the user can arrive at a medicine-taking single page to check diagnosis records and medicine information uploaded by the doctor. When the user confirms the medicine information and requests to get the medicine, the user indicates that the user agrees to the medicine prescribed by the doctor and requests to get the medicine prescribed by the doctor, so that the medical APP receives and responds to the medicine getting request and then obtains the diagnosis information indicated by the medicine getting request. The diagnosis information includes the information of the disease diagnosed by the user, the medicine to be taken, the medicine quantity, the using method and the like. Next, the medical APP identifies whether the diagnosis information includes an emergency identifier, that is, whether the symptoms in the diagnosis information have an emergency identifier, so that the medical APP can recommend an optimal delivery method for the user suffering from the emergency.
102. And when the identification and determination diagnosis information comprises the emergency mark, determining at least one designated distribution mode in a plurality of preset distribution modes.
Because the emergency user cannot be guaranteed to receive the medicine fastest according to the unified delivery scheme, the application preferably selects the delivery mode of which the estimated delivery duration is within a certain range, and avoids overlong delivery time. In the embodiment of the application, when the medical APP identification determines that the diagnosis information comprises the emergency mark, the diagnosis indicates that the user suffers from the emergency, and the treatment medicine needs to be sent to the hand of the user as soon as possible. Therefore, the medical APP determines at least one designated delivery mode among a plurality of preset delivery modes, wherein the plurality of preset delivery modes includes O2O, a central bin, a city bin, and B2C. It should be noted that, the estimated delivery duration of the specified delivery mode is less than or equal to the duration threshold, and the duration threshold may be 2 hours. Like this, medical APP is through carrying out preliminary screening to the estimated delivery duration, can shorten the delivery time of medicine.
103. The distribution distance of each designated distribution mode is determined, and the designated distribution mode with the shortest distribution distance is selected from at least one designated distribution mode as a first target distribution mode.
In order to further shorten the delivery time, the medical APP can select an optimal delivery mode according to the delivery distances of different delivery modes. In the embodiment of the application, the medical APP determines the delivery distance of each designated delivery mode, and selects the designated delivery mode with the shortest delivery distance from at least one designated delivery mode as the first target delivery mode. In this way, the medical APP recommends the delivery mode to the user to deliver the medicine most quickly, rather than according to a unified medicine performance scheme, so that the user experience is affected.
104. And generating a first medicine order by adopting a first target delivery mode, and sending the first medicine order to a terminal held by a user initiating a medicine taking request.
In the embodiment of the application, the medical APP generates a first medicine order by adopting a first target delivery mode, and sends the first medicine order to a terminal held by a user initiating a medicine taking request. The first medicine order comprises information such as a distribution mode, estimated distribution time, distribution distance, execution store, medicine quantity, medicine names, medicine amount and the like, so that a user can clearly know distribution and medicine information, and timeliness of medicine administration of the user is guaranteed.
The method provided by the embodiment of the application is used for responding to the medicine getting request, obtaining the diagnosis information indicated by the medicine getting request, identifying whether the diagnosis information comprises an emergency mark, determining at least one designated distribution mode in a plurality of preset distribution modes when the diagnosis information comprises the emergency mark is identified and determined, determining the distribution distance of each designated distribution mode by determining the estimated distribution time length of the designated distribution mode to be less than or equal to a time length threshold value, selecting the designated distribution mode with the shortest distribution distance from the at least one designated distribution mode as a first target distribution mode, generating a first medicine order by adopting the first target distribution mode, and sending the first medicine order to a terminal held by a user initiating the medicine getting request.
Further, as a refinement and extension of the foregoing embodiment, in order to fully describe a specific implementation process of the embodiment, an embodiment of the present application provides another method for generating a drug order, as shown in fig. 2A, where the method includes:
201. And obtaining emergency marks, marking a plurality of acute symptoms by adopting the emergency marks, and storing the marked plurality of acute symptoms into a database.
In the embodiment of the application, the medical APP acquires the medical condition standard and generates the emergency recognition rule according to the medical condition standard. It should be noted that, the acute disease recognition rule is defined by combining seven departments of pediatrics, gynaecology and obstetrics, men, internal medicine, dermatology, surgery and comprehensive department according to medical standards, and can comprehensively and accurately recognize acute diseases in the existing diseases. Then, medical APP identifies medical conditions meeting the acute disease identification rule in a database as acute conditions, a plurality of acute conditions are obtained, for example, medical APP sorts all conditions of the existing seven departments according to the acute disease identification rule, and selects conditions meeting the standard as acute conditions, and finally 962 acute conditions are obtained. Then, the medical APP obtains emergency marks, marks the plurality of acute symptoms by adopting the emergency marks, and stores the marked plurality of acute symptoms into a database. The identified acute symptoms are marked through the medical APP and stored in the database, so that prescription information can be identified later, whether the prescription information comprises the acute symptoms or not can be determined quickly, the generation efficiency of a medicine order is improved, and meanwhile differentiated performance service can be provided for users.
In an alternative embodiment, medical personnel can update or modify the acute disorders according to the actual application scenario in order to ensure the accuracy of the disorder classification. Specifically, the present application relates to a method for manufacturing a semiconductor device. When the medical APP receives at least one medical condition to be identified input by medical staff based on the held terminal, the medical condition to be identified, which accords with the emergency identification rule, is extracted from the at least one medical condition to be identified as an acute condition to be updated. Like this, medical staff need not initiatively confirm whether the medical condition of input is acute disease, and medical APP can discern and classify according to the rule is discerned to acute disease to screening out acute disease, can also improve efficiency in the time of guaranteeing the accuracy. And finally, marking the acute illness to be updated by the medical APP by adopting the acute illness identification, and storing the marked acute illness to be updated into a database.
Therefore, the disease marking method provided by the embodiment of the application comprises the following steps:
as shown in fig. 2B, the medical staff adds a disease ID (IDentity, IDentity number), a disease name, a disease alias, and an ICD (International Classification Of Diseases, international disease classification) standard code, such as a disease ID 40253000, a disease name of cold, a disease alias of VRVR, and an ICD standard code of j00.x03, through a new button; the disease ID is 10092344, the disease name is common cold, the disease is the Song hair, and the ICD standard code is ADC1000.8; the disease ID is 1063275, the disease name is viral upper respiratory tract infection, the disease is cold, and the ICD standard code is J06.901. Then medical APP can discern the disease that adds newly according to the rule of emergency identification, confirm whether this disease belongs to acute illness, if belong to and just label and store with emergency label. Medical staff can also directly label by adopting an emergency label when adding information such as disease ID. Further, if the related information of a certain disease is found to change in the clinical test and other processes, medical staff can directly modify the information of the disease through editing operation, so that the effectiveness and accuracy of the information are ensured. Medical staff can also inquire ICD10 disease labels aiming at category keywords such as cold, most diseases can be divided into a plurality of different types due to finer disease classification, so emergency marking can be carried out more carefully and pertinently according to inquiry results, the medical staff can be helped to quickly make diagnosis and prescribe a pertinence prescription, and the generated medicine order with a distribution mode can meet the medicine using time of emergency users.
202. When it is detected that the user requests to retrieve the medicine based on the diagnostic information, it is determined that the medicine retrieval request is received.
In the embodiment of the application, the medical APP acquires prescription information uploaded by medical staff based on a held terminal, and a schematic diagram of prescription generation is described below:
as shown in fig. 2C, medical staff can clearly diagnose according to the user condition, select the disease symptoms and prescribe the prescription drug, for example, for a male patient aged 23 years and named Zhang san, the medical staff diagnoses the male patient to have acute enteritis and prescribes the prescription drug as levofloxacin, and then the medical APP can generate prescription information by using the name, sex, age, diagnosis result, prescription drug and quantity usage of the patient.
Next, the medical APP identifies at least one medical condition to be confirmed included in the prescription information and compares the at least one medical condition to be confirmed with a plurality of acute conditions included in the database to determine whether an acute condition exists among the medical conditions to be confirmed. When the comparison determines that the medical condition to be confirmed belonging to the acute condition exists in the at least one medical condition to be confirmed, the user is required to be provided with differentiated services, and a quick-performing medicine order is generated. Therefore, the medical APP extracts the medical condition to be confirmed, which belongs to the acute condition, from the at least one medical condition to be confirmed as a target condition, i.e., screens out the acute condition from the medical conditions to be confirmed. Then, the medical APP obtains the emergency mark, marks the target symptoms by adopting the emergency mark in the prescription information, and obtains diagnosis information, so that the medical APP can quickly detect the acute symptoms when a subsequent user requests to get the medicine, and the distribution mode is regulated in a strategy. Finally, the medical APP reads the user identification from the diagnosis information, and can determine which user requests to get the medicine through the user identification medical APP, and can rapidly issue the diagnosis information to the terminal held by the user indicated by the user identification. When detecting that the user requests to retrieve the drug based on the diagnostic information, the medical APP determines that the drug retrieval request is received and responds to the drug retrieval request.
203. Responding to the medicine taking request, acquiring diagnosis information indicated by the medicine taking request, and identifying whether the diagnosis information comprises an emergency mark or not; when the identification determines that the diagnosis information does not include the emergency mark, the following step 204 is performed; when the identification determines that the emergency condition identification is included in the diagnosis information, the following step 205 is performed.
In the embodiment of the application, the medical APP responds to the medicine taking request, acquires the diagnosis information indicated by the medicine taking request, and identifies whether the diagnosis information comprises an emergency mark. When the identification determines that the diagnosis information does not include the emergency mark, the diagnosis information is indicated to include no emergency, and the following step 204 is executed; when it is recognized that the emergency condition identification is included in the diagnosis information, it is indicated that the emergency condition is included in the diagnosis information, and the following step 205 is performed. Like this, medical APP can provide the faster medicine performance service of delivery for the user who suffers from emergency according to medical staff's diagnosis disorder, promotes user experience.
204. And when the identification and determination that the diagnosis information does not comprise the emergency mark, generating a second medicine order by adopting a second target delivery mode, and sending the second medicine order to a terminal held by a user initiating a medicine taking request.
In the embodiment of the application, the medical APP determines the priority of the delivery mode, specifically, the medical APP integrates the delivery mode according to the rules of service guarantee, service attribute, delivery distance and the like, namely, the central bin and the O2O are classified as 1-2 hours to be reached, the city bin is half day to be reached, the B2C is three days to be reached, and finally, the priority of the delivery mode is obtained as the central bin > the city bin > B2C > O2O. In order to improve the delivery efficiency, the center bin delivery method is preferentially selected in 1-3 hours, and the city bin delivery method is preferentially selected in the city bin and the B2C. Next, the medical APP orders the plurality of preset delivery modes according to the delivery mode priority, and an ordering result is obtained, for example, the ordering result is a first central bin delivery mode, a second city bin delivery mode, a third B2C delivery mode, and a fourth O2O delivery mode. Then, the medical APP determines the first preset delivery mode in the sorting result as a second target delivery mode. And finally, the medical APP generates a second medicine order by adopting a second target delivery mode, and sends the second medicine order to a terminal held by a user initiating a medicine taking request. Like this, medical APP can be according to service guarantee, business attribute, delivery rule such as distance to the delivery mode priority adjustment, and the final medicine order of production and quick medicine service of carrying out.
205. And when the identification and determination diagnosis information comprises the emergency mark, determining at least one designated distribution mode in a plurality of preset distribution modes.
For acute symptoms, medical APP can recommend a central warehouse with the capacity of achieving the performance for 1-2 hours and stores corresponding to O2O preferentially, 1.3 thousands of O2O cooperation pharmacies are effectively utilized, differentiated services are provided for users suffering from the acute symptoms, and distribution efficiency is guaranteed. In the embodiment of the application, when the identification and determination that the diagnosis information includes the emergency mark, the user is indicated to suffer from the acute illness, then the medical APP determines at least one designated delivery mode in a plurality of preset delivery modes, wherein the estimated delivery duration of the designated delivery mode is less than or equal to a duration threshold. Specifically, the medical APP may calculate, according to address information of an execution store and a user corresponding to each preset delivery mode, an estimated delivery duration of each preset delivery mode, and then select, from a plurality of preset delivery modes, a preset delivery mode in which the estimated delivery duration is less than or equal to a duration threshold as the specified delivery mode. For example, the preset delivery modes are O2O, a central bin, a city bin and B2C, the estimated delivery time periods are 1.5 hours, 1.2 hours, 25 hours and 72 hours respectively, and the time period threshold is 2 hours, so that the medical APP screens out the O2O and the central bin as the designated delivery modes, and the delivery efficiency of the subsequent medicines can be improved.
206. The distribution distance of each designated distribution mode is determined, and the designated distribution mode with the shortest distribution distance is selected from at least one designated distribution mode as a first target distribution mode.
In the selected appointed distribution mode, the medical APP can further select a scheme with highest medicine performance efficiency according to the distribution distance to generate a medicine order, so that the medicine utilization time of emergency users is ensured. In the embodiment of the application, the medical APP determines the distribution distance of each designated distribution mode according to the address information of the execution store and the user corresponding to each designated distribution mode. Then, the medical APP selects a designated delivery method having the shortest delivery distance from among the at least one designated delivery methods as the first target delivery method, and thus can recommend an optimal delivery method for the emergency user.
207. And generating a first medicine order by adopting a first target delivery mode, and sending the first medicine order to a terminal held by a user initiating a medicine taking request.
After the medical APP determines the delivery mode, the medical APP can generate a medicine order by utilizing relevant information such as medicine purchasing information, the delivery mode and the like, and pushes the medicine order to a user for confirmation. In the embodiment of the application, a medical APP acquires address information of a user, determines a first target store associated with a first target delivery mode, and acquires a first estimated delivery duration and a first delivery distance corresponding to the first target delivery mode, wherein the first estimated delivery duration and the first delivery distance are calculated according to the address information of the user and the first target store. It should be noted that, the medical APP may acquire a plurality of execution stores corresponding to the four delivery modes of the central bin, the city bin, the B2C and the O2O according to the user address, and finally select 1 execution store for each delivery mode according to a plurality of factors such as inventory, a deliverable range, a delivery distance, and the like, then the medical APP makes a priority recommendation policy for the selected 4 execution stores according to the service scenario, and recommends the last selected one execution store to the user. Then, the medical APP reads the medicine names and the medicine numbers from the diagnosis information, and generates an initial order by using the address information, the medicine names, the medicine numbers, the first target store, the first estimated delivery duration and the first delivery distance. And then, the medical APP acquires a first delivery identifier corresponding to the first target delivery mode, and marks the initial order by adopting the first delivery identifier to obtain a first medicine order. Finally, the medical APP sends the first medicine order to a terminal held by a user initiating a medicine taking request, differentiated delivery service is provided for emergency users, medicine delivery duration is shortened, medicine delivery efficiency is improved, and therefore timeliness of medicine use of the users is met. A schematic illustration of a drug order is described below:
As shown in FIG. 2D, the drug order will show the relevant information of the user, including address C city A, district B, no. 111, name three, phone number 123456789, and show the delivery mode for 1-2 hours for estimating the delivery time. The medicine order also comprises information such as pharmacy name C pharmacy, medicine name flurbiprofen gel plaster, medicine quantity 2 boxes, medicine price 62 yuan, total amount 130 yuan and the like for the user to confirm.
In an alternative embodiment, the medical APP pushes the selected target delivery method to the user, while other delivery methods and their corresponding execution stores also support the user's autonomous selection. Specifically, the medical APP creates at least one extension item in the first drug order, and links a specified delivery mode other than the target delivery mode of the at least one specified delivery mode to each extension item, so that a user can select other delivery modes, and user experience is improved. When detecting that a user triggers a target extension item based on a held terminal, the medical APP takes a designated delivery mode linked with the target extension item as a delivery mode to be displayed, wherein the target extension item is any extension item in at least one extension item. For example, the user selects the half day, and the medical APP determines the city bin as the delivery mode to be displayed. Then, the medical APP determines a second target store associated with the delivery mode to be displayed, and acquires a second estimated delivery duration and a second delivery distance corresponding to the delivery mode to be displayed. Then, the medical APP generates an expanded page by using the address information, the medicine name, the medicine quantity, the second target store, the second estimated delivery duration and the second delivery distance. And finally, the medical APP acquires a second delivery identifier corresponding to the delivery mode to be displayed, marks the expansion page by adopting the second delivery identifier, and sends the marked expansion page to a terminal held by a user so that the terminal displays the marked expansion page.
In summary, a schematic flow chart of generating a drug order according to an embodiment of the present application is as follows:
as shown in FIG. 2E, seven departments jointly define the acute disease criteria, combing and providing 962 acute disorders belonging to the acute disease criteria. Medical APP marks 962 acute diseases by using an acute disease label, and stores and records the acute diseases with the acute disease label. Thus, after a doctor prescribes a drug and gives a prescription diagnosis, the medical APP will acquire an emergency label to mark the acute condition under diagnosis. Then, when a user enters a medicine taking list page, the medical APP can detect whether an emergency label exists in prescription diagnosis, if so, the medical APP preferentially recommends a pharmacy which is delivered for 1-2 hours, namely a central warehouse with the capacity of achieving the performance for 1-2 hours and an O2O delivery mode, and selects the pharmacy closest to the user to recommend. If no emergency label exists, recommendation is performed according to the original logical center bin > city bin > B2C > O2O. Finally, the user confirms the medicine order and then pays the order.
By the above process, a flow chart of generating a drug order according to an embodiment of the present application is as follows:
as shown in fig. 2F, the user selects the quick consultation function on the medical platform, and the platform provides the review option for the user to select according to the user's visit record. Then, after the user selects the re-diagnosis dry eye, the platform can provide three modes of image-text inquiry, audio inquiry and video inquiry for the user to select. And then, after the user selects the image-text inquiry mode, the inquiry doctor receives inquiry prompt, diagnoses according to the information provided by the user and prescribes the sodium phosphate eye drops. The platform will present the diagnostic information and prescription drug generation prescriptions to the user, who views the diagnostic information and prescription drug through the prescriptions. When the user places an order for payment, the platform detects whether the prescription contains an acute illness or not, and recommends an optimal delivery mode and corresponding execution store C pharmacy according to the user address. Finally, the platform can adopt a delivery mode for 1-2 hours to achieve, the user address C, the A area, the B way and the 111 number, the user name, the third name, the mobile phone number 123456789, the estimated delivery time, the store C pharmacy, the medicine name, the sodium phosphate eye drops, the medicine price of 35 yuan, the medicine quantity of 1 bottle and the total amount of 41 yuan to generate a medicine order. The user can also select a delivery mode of the medicine which reaches a half day or is self-provided by a shop, and the platform can generate a corresponding medicine order for the user to confirm according to the delivery mode selected by the user.
The method provided by the embodiment of the application is used for responding to the medicine getting request, obtaining the diagnosis information indicated by the medicine getting request, identifying whether the diagnosis information comprises an emergency mark, determining at least one designated distribution mode in a plurality of preset distribution modes when the diagnosis information comprises the emergency mark is identified and determined, determining the distribution distance of each designated distribution mode by determining the estimated distribution time length of the designated distribution mode to be less than or equal to a time length threshold value, selecting the designated distribution mode with the shortest distribution distance from the at least one designated distribution mode as a first target distribution mode, generating a first medicine order by adopting the first target distribution mode, and sending the first medicine order to a terminal held by a user initiating the medicine getting request.
Further, as a specific implementation of the method shown in fig. 1, an embodiment of the present application provides a device for generating a drug order, as shown in fig. 3A, where the device includes: the device comprises an identification module 301, a determination module 302, a selection module 303 and a generation module 304.
An identifying module 301, configured to obtain, in response to a medicine taking request, diagnostic information indicated by the medicine taking request, and identify whether the diagnostic information includes an emergency identifier;
a determining module 302, configured to determine at least one designated delivery mode among a plurality of preset delivery modes when the diagnosis information includes an emergency identifier, where an estimated delivery duration of the designated delivery mode is less than or equal to a duration threshold;
a selecting module 303, configured to determine a delivery distance of each of the specified delivery manners, and select, from the at least one specified delivery manner, a specified delivery manner with a shortest delivery distance as a first target delivery manner;
the generating module 304 is configured to generate a first drug order by using the first target delivery manner, and send the first drug order to a terminal held by a user who initiates the drug pickup request.
In a specific application scenario, the generating module 304 is configured to obtain address information of the user, determine a first target store associated with the first target delivery manner, and obtain a first estimated delivery duration and a first delivery distance corresponding to the first target delivery manner; reading the medicine name and the medicine quantity from the diagnosis information, and generating an initial order by using the address information, the medicine name, the medicine quantity, the first target store, the first estimated delivery duration and the first delivery distance; and acquiring a first delivery identifier corresponding to the first target delivery mode, and marking the initial order by adopting the first delivery identifier to obtain the first medicine order.
In a specific application scenario, the generating module 304 is further configured to create at least one extension item in the first drug order, and link a specified delivery mode other than the target delivery mode of the at least one specified delivery mode to each extension item; when the user triggering a target extension item based on a held terminal is detected, taking a designated delivery mode linked with the target extension item as a delivery mode to be displayed, wherein the target extension item is any extension item in the at least one extension item; determining a second target store associated with the delivery mode to be displayed, and acquiring a second estimated delivery duration and a second delivery distance corresponding to the delivery mode to be displayed; generating an expansion page by using the address information, the medicine name, the medicine quantity, the second target store, the second estimated delivery duration and the second delivery distance; and acquiring a second distribution identifier corresponding to the distribution mode to be displayed, marking the expansion page by adopting the second distribution identifier, and sending the marked expansion page to a terminal held by the user so that the terminal displays the marked expansion page.
In a specific application scenario, as shown in fig. 3B, the apparatus further includes: an annotating module 305, a comparing module 306 and a ranking module 307.
The labeling module 305 is configured to obtain a medical condition standard, and generate an emergency recognition rule according to the medical condition standard; identifying medical conditions conforming to the acute disease identification rule in a database as acute conditions, and obtaining a plurality of acute conditions; and obtaining an emergency mark, marking the plurality of acute symptoms by adopting the emergency mark, and storing the marked plurality of acute symptoms into the database.
A comparison module 306, configured to obtain prescription information uploaded by medical personnel based on the held terminal, and identify at least one medical condition to be confirmed included in the prescription information; comparing the at least one medical condition to be confirmed to a plurality of acute conditions comprised by a database; extracting a medical condition to be confirmed, which belongs to an acute condition, from the at least one medical condition to be confirmed as a target condition when the comparison determines that the medical condition to be confirmed, which belongs to the acute condition, exists in the at least one medical condition to be confirmed; obtaining an emergency mark, and marking the target disease by adopting the emergency mark in the prescription information to obtain the diagnosis information; reading a user identifier from the diagnosis information, and transmitting the diagnosis information to a user terminal indicated by the user identifier; and when detecting that the user requests to get the medicine based on the diagnosis information, determining that the medicine getting request is received.
The sorting module 307 is configured to determine a distribution mode priority when it is determined that the diagnosis information does not include an emergency identifier, and sort the plurality of preset distribution modes according to the distribution mode priority, so as to obtain a sorting result; and determining a preset delivery mode arranged at the top in the sorting result as a second target delivery mode, generating a second medicine order by adopting the second target delivery mode, and sending the second medicine order to a terminal held by a user initiating the medicine receiving request.
In a specific application scenario, the labeling module 305 is further configured to extract, when at least one medical condition to be identified input by a medical staff based on the held terminal is received, a medical condition to be identified that meets the emergency identification rule from the at least one medical condition to be identified as an acute condition to be updated; and marking the acute illness to be updated by adopting the acute illness mark, and storing the marked acute illness to be updated into the database.
The device provided by the embodiment of the application responds to the medicine getting request, acquires the diagnosis information indicated by the medicine getting request, identifies whether the diagnosis information comprises an emergency mark, determines at least one designated delivery mode in a plurality of preset delivery modes when the diagnosis information comprises the emergency mark is identified, and the estimated delivery time length of the designated delivery mode is less than or equal to a time length threshold value, determines the delivery distance of each designated delivery mode, selects the designated delivery mode with the shortest delivery distance in the at least one designated delivery mode as a first target delivery mode, generates a first medicine order by adopting the first target delivery mode, and sends the first medicine order to a terminal held by a user initiating the medicine getting request.
It should be noted that, other corresponding descriptions of each functional unit related to the generating device of the medicine order provided by the embodiment of the present application may refer to corresponding descriptions in fig. 1 and fig. 2A, and are not repeated herein.
In an exemplary embodiment, referring to fig. 4, there is also provided a computer device, which includes a bus, a processor, a memory, and a communication interface, and may further include an input-output interface and a display device, where each functional unit may perform communication with each other through the bus. The memory stores a computer program and a processor for executing the program stored in the memory, and executing the method of generating a drug order in the above embodiment.
A readable storage medium having stored thereon a computer program which when executed by a processor realizes the steps of the method of generating a pharmaceutical order.
From the above description of the embodiments, it will be clear to those skilled in the art that the present application may be implemented in hardware, or may be implemented by means of software plus necessary general hardware platforms. Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.), and includes several instructions for causing a computer device (may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective implementation scenario of the present application.
Those skilled in the art will appreciate that the drawing is merely a schematic illustration of a preferred implementation scenario and that the modules or flows in the drawing are not necessarily required to practice the application.
Those skilled in the art will appreciate that modules in an apparatus in an implementation scenario may be distributed in an apparatus in an implementation scenario according to an implementation scenario description, or that corresponding changes may be located in one or more apparatuses different from the implementation scenario. The modules of the implementation scenario may be combined into one module, or may be further split into a plurality of sub-modules.
The above-mentioned inventive sequence numbers are merely for description and do not represent advantages or disadvantages of the implementation scenario.
The foregoing disclosure is merely illustrative of some embodiments of the application, and the application is not limited thereto, as modifications may be made by those skilled in the art without departing from the scope of the application.
Claims (10)
1. A method of generating a pharmaceutical order, comprising:
responding to a medicine acquisition request, acquiring diagnosis information indicated by the medicine acquisition request, and identifying whether the diagnosis information comprises an emergency mark or not;
when the diagnosis information is identified and determined to comprise an emergency mark, determining at least one designated distribution mode in a plurality of preset distribution modes, wherein the estimated distribution time length of the designated distribution mode is less than or equal to a time length threshold;
Determining the distribution distance of each designated distribution mode, and selecting a designated distribution mode with the shortest distribution distance from the at least one designated distribution mode as a first target distribution mode;
and generating a first medicine order by adopting the first target delivery mode, and sending the first medicine order to a terminal held by a user who initiates the medicine taking request.
2. The method of claim 1, wherein the obtaining, in response to a medication intake request, diagnostic information indicated by the medication intake request, and before identifying whether an emergency condition identifier is included in the diagnostic information, the method further comprises:
acquiring medical condition standards, and generating emergency recognition rules according to the medical condition standards;
identifying medical conditions conforming to the acute disease identification rule in a database as acute conditions, and obtaining a plurality of acute conditions;
and obtaining an emergency mark, marking the plurality of acute symptoms by adopting the emergency mark, and storing the marked plurality of acute symptoms into the database.
3. The method according to claim 2, wherein the method further comprises:
When at least one medical condition to be identified is received, which is input by medical staff based on a held terminal, extracting the medical condition to be identified, which accords with the emergency identification rule, from the at least one medical condition to be identified as an acute condition to be updated;
and marking the acute illness to be updated by adopting the acute illness mark, and storing the marked acute illness to be updated into the database.
4. The method of claim 1, wherein the obtaining, in response to a medication intake request, diagnostic information indicated by the medication intake request, and before identifying whether an emergency condition identifier is included in the diagnostic information, the method further comprises:
acquiring prescription information uploaded by medical staff based on a held terminal, and identifying at least one medical condition to be confirmed included in the prescription information;
comparing the at least one medical condition to be confirmed to a plurality of acute conditions comprised by a database;
extracting a medical condition to be confirmed, which belongs to an acute condition, from the at least one medical condition to be confirmed as a target condition when the comparison determines that the medical condition to be confirmed, which belongs to the acute condition, exists in the at least one medical condition to be confirmed;
Obtaining an emergency mark, and marking the target disease by adopting the emergency mark in the prescription information to obtain the diagnosis information;
reading a user identifier from the diagnosis information, and transmitting the diagnosis information to a user terminal indicated by the user identifier;
and when detecting that the user requests to get the medicine based on the diagnosis information, determining that the medicine getting request is received.
5. The method of claim 1, wherein after said identifying whether said diagnostic information includes an emergency identifier, said method further comprises:
when the diagnosis information is identified and determined to not comprise the emergency mark, determining the distribution mode priority, and sequencing the plurality of preset distribution modes according to the distribution mode priority to obtain a sequencing result;
and determining a preset delivery mode arranged at the top in the sorting result as a second target delivery mode, generating a second medicine order by adopting the second target delivery mode, and sending the second medicine order to a terminal held by a user initiating the medicine receiving request.
6. The method of claim 1, wherein generating a first drug order using the first target delivery method comprises:
Acquiring address information of the user, determining a first target store associated with the first target delivery mode, and acquiring a first estimated delivery duration and a first delivery distance corresponding to the first target delivery mode;
reading the medicine name and the medicine quantity from the diagnosis information, and generating an initial order by using the address information, the medicine name, the medicine quantity, the first target store, the first estimated delivery duration and the first delivery distance;
and acquiring a first delivery identifier corresponding to the first target delivery mode, and marking the initial order by adopting the first delivery identifier to obtain the first medicine order.
7. The method of claim 6, wherein the method further comprises:
creating at least one extension item in the first drug order, and linking a specified delivery mode other than the target delivery mode of the at least one specified delivery mode to each extension item;
when the user triggering a target extension item based on a held terminal is detected, taking a designated delivery mode linked with the target extension item as a delivery mode to be displayed, wherein the target extension item is any extension item in the at least one extension item;
Determining a second target store associated with the delivery mode to be displayed, and acquiring a second estimated delivery duration and a second delivery distance corresponding to the delivery mode to be displayed;
generating an expansion page by using the address information, the medicine name, the medicine quantity, the second target store, the second estimated delivery duration and the second delivery distance;
and acquiring a second distribution identifier corresponding to the distribution mode to be displayed, marking the expansion page by adopting the second distribution identifier, and sending the marked expansion page to a terminal held by the user so that the terminal displays the marked expansion page.
8. A medicine order generation apparatus, comprising:
the identification module is used for responding to the medicine taking request, acquiring diagnosis information indicated by the medicine taking request and identifying whether the diagnosis information comprises an emergency mark or not;
the determining module is used for determining at least one designated distribution mode in a plurality of preset distribution modes when the diagnosis information is identified and determined to comprise the emergency mark, and the estimated distribution time length of the designated distribution mode is smaller than or equal to a time length threshold value;
The selection module is used for determining the distribution distance of each specified distribution mode, and selecting a specified distribution mode with the shortest distribution distance from the at least one specified distribution mode as a first target distribution mode;
and the generation module is used for generating a first medicine order by adopting the first target delivery mode and sending the first medicine order to a terminal held by a user who initiates the medicine acquisition request.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A readable storage medium having stored thereon a computer program, which when executed by a processor realizes the steps of the method according to any of claims 1 to 7.
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