CN115983938A - Online medicine purchasing management method and device - Google Patents
Online medicine purchasing management method and device Download PDFInfo
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Abstract
The invention discloses a method and a device for managing medicine purchasing on line, and relates to the technical field of internet medical treatment. One embodiment of the method comprises: analyzing a medicine prescription from an online medicine purchasing request, and identifying a medicine text in the medicine prescription; matching the medicine text with medicines in a pre-constructed medicine library, and taking the successfully matched medicines as target medicines; matching the target medicine with commodities in a pre-constructed commodity selling lexicon, and taking the successfully matched commodities as target commodities; and generating a list of commodities to be purchased according to the target commodities corresponding to the various target medicines. According to the method and the system, the list of commodities to be purchased can be automatically generated based on the medicine prescription, the online medicine purchasing steps and flow are simplified, and the online medicine purchasing efficiency is improved.
Description
Technical Field
The invention relates to the technical field of internet medical treatment, in particular to a method and a device for managing medicine purchase on line.
Background
After an offline hospital doctor interview, or after an online doctor interview, the user may be prescribed a drug. Generally, a medicine prescription contains more than one medicine, and a user needs to search for the medicine for many times when using the medicine prescription to purchase the medicine on line, so that the purchase path is long and complicated.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for online medicine purchasing management, which can automatically generate a list of goods to be purchased based on a medicine prescription, simplify online medicine purchasing steps and processes, and improve online medicine purchasing efficiency.
To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided an online medicine purchase management method, including:
analyzing a medicine prescription from an online medicine purchasing request, and identifying a medicine text in the medicine prescription;
matching the medicine text with medicines in a pre-constructed medicine library, and taking the successfully matched medicines as target medicines;
matching the target medicine with the commodities in a pre-constructed commodity selling lexicon, and taking the successfully matched commodities as target commodities;
and generating a list of the commodities to be purchased according to the target commodities corresponding to the various target medicines.
Optionally, the method further comprises: before identifying medicine texts in the medicine prescriptions, a hospital doctor information base is established, and prescription templates of the hospitals and/or doctors are established according to historical medicine prescriptions issued by each doctor in the hospital doctor information base; the hospital doctor information base comprises doctor marks of all doctors, or the hospital doctor information base comprises the doctor marks of all doctors and hospital marks and/or department marks to which the doctors belong; the prescription template comprises a hospital information area, a user information area and a medicine information area;
identifying drug text in the drug prescription, comprising: determining a medicine information area in the medicine prescription according to the established prescription template, and extracting a medicine text in the medicine prescription from the medicine information area in the medicine prescription.
Optionally, the drug prescription is an image of a paper prescription;
identifying drug text in the drug prescription, comprising: and under the condition that a bent part or a folded part exists in the medicine prescription, selecting similar contents from the contents of a pre-constructed prescription template and sending the similar contents to a user, and confirming or modifying the similar contents according to an operation instruction fed back by the user to obtain the medicine text.
Optionally, the drug prescription is an image of a paper prescription; the method further comprises the following steps:
before identifying a medicine text in the medicine prescription, judging whether the medicine prescription has an angle inclination; under the condition that the medicine prescription has an angle inclination, judging the inclination angle of the medicine prescription according to the inclination angle of preset characters and/or preset strokes in the medicine prescription; and correcting the angle of the medicine prescription according to the inclination angle of the medicine prescription.
Optionally, the drug text comprises a drug identification text and a symptom description text; the drug library comprises drug identifications and adaptation diseases of the drugs;
matching the medicine text with the medicines in a pre-constructed medicine library, and taking the successfully matched medicines as target medicines, wherein the steps of the method comprise: matching the symptom description text with the adaptation symptoms of various medicines in the medicine library, and taking the successfully matched medicines as candidate medicines; and matching the medicine description text with the medicine identifications of the various candidate medicines, and taking the candidate medicines which are successfully matched as the target medicines.
Optionally, generating a list of goods to be purchased according to target goods corresponding to the various target medicines, including: when the target commodities corresponding to the target medicines are multiple, selecting one of the multiple target commodities according to at least one of the following factors to serve as a commodity to be purchased corresponding to the target medicine, and generating a commodity list to be purchased according to the commodity to be purchased corresponding to each target medicine: the quantity of target medicines, the merchant grade of a supplier, the estimated receiving time, the historical favorable rating and the price which can be met;
wherein a supplier is considered to be able to satisfy a target drug when the supplier is able to provide a target item that successfully matches the target drug.
Optionally, the method further comprises:
before or after a list of commodities to be purchased is generated, identifying a user information text in the medicine prescription, and checking the quantity of the commodities to be purchased according to the user information text, a medicine specification text and an operation instruction text in the medicine text, or according to the medicine specification and the operation instruction of the commodities to be purchased in the medicine library.
Optionally, the method further comprises:
after a list of commodities to be purchased is generated, responding to a list change request of a user, and updating the list of the commodities to be purchased; or responding to an order placing request of a user, and generating a commodity order to be purchased according to the commodity list to be purchased.
Optionally, the method further comprises:
after a list of commodities to be purchased is generated, responding to an order placing request of a user, generating an order of the commodities to be purchased according to the list of the commodities to be purchased, sending the order of the commodities to be purchased to an auditor, and responding to an order updating instruction of the auditor, and updating the order of the commodities to be purchased.
Optionally, the method further comprises:
before or after the order of the commodity to be purchased is generated, identifying a user information text in the medicine prescription, and filling a medicine purchaser information item according to the user information text.
Optionally, the drug library comprises drug statuses of drugs; matching the drug text with a pre-constructed drug library, comprising: matching the medicine text with the medicines in the starting state in a pre-constructed medicine library;
the method further comprises the following steps: in response to the drug library amplification, marking an amplified drug amplified into the drug library as a non-activated state; in response to the presence of an on-sale item in the on-sale item thesaurus that matches the amplification drug, marking the amplification drug as enabled.
According to a second aspect of the embodiments of the present invention, there is provided an apparatus for online medicine purchase management, including:
the text recognition module is used for analyzing a medicine prescription from the online medicine purchasing request and recognizing a medicine text in the medicine prescription;
the medicine matching module is used for matching the medicine text with medicines in a pre-constructed medicine library and taking the successfully matched medicines as target medicines;
the commodity matching module is used for matching the target medicine with commodities in a pre-constructed commodity selling lexicon and taking the successfully matched commodities as target commodities;
and the commodity recommendation module is used for generating a commodity list to be purchased according to the target commodities corresponding to the target medicines.
Optionally, the apparatus further comprises: an information construction module to: before identifying medicine texts in the medicine prescriptions, a hospital doctor information base is established, and prescription templates of the hospitals and/or doctors are established according to historical medicine prescriptions issued by each doctor in the hospital doctor information base; the hospital doctor information base comprises doctor marks of all doctors, or the hospital doctor information base comprises the doctor marks of all doctors and hospital marks and/or department marks to which the doctors belong; the prescription template comprises a hospital information area, a user information area and a medicine information area;
the text recognition module recognizes a drug text in the drug prescription, including: determining a medicine information area in the medicine prescription according to the established prescription template, and extracting a medicine text in the medicine prescription from the medicine information area in the medicine prescription.
Optionally, the drug prescription is an image of a paper prescription;
the text recognition module recognizes the medicine text in the medicine prescription, and comprises the following steps: and under the condition that a bent part or a folded part exists in the medicine prescription, selecting similar contents from the contents of a pre-constructed prescription template and sending the similar contents to a user, and confirming or modifying the similar contents according to an operation instruction fed back by the user to obtain the medicine text.
Optionally, the drug prescription is an image of a paper prescription;
the text recognition module is further configured to: before identifying a medicine text in the medicine prescription, judging whether the medicine prescription has an angle inclination; under the condition that the medicine prescription has an angle inclination, judging the inclination angle of the medicine prescription according to the inclination angle of preset characters and/or preset strokes in the medicine prescription; and correcting the angle of the medicine prescription according to the inclination angle of the medicine prescription.
Optionally, the drug text comprises a drug identification text and a symptom description text; the drug library comprises drug identifications and adaptation diseases of the drugs;
the drug matching module matches the drug text with drugs in a pre-constructed drug library, and takes the successfully matched drugs as target drugs, including: matching the symptom description text with the adaptation symptoms of various medicines in the medicine library, and taking the successfully matched medicines as candidate medicines; and matching the medicine description text with the medicine identifications of the various candidate medicines, and taking the candidate medicines which are successfully matched as the target medicines.
Optionally, the commodity recommending module generates a list of commodities to be purchased according to the target commodities corresponding to the target medicines, where the method includes: when the target goods corresponding to the target medicines are multiple, selecting one of the multiple target goods as a to-be-purchased goods corresponding to the target medicines according to at least one of the following factors, and generating a to-be-purchased goods list according to the to-be-purchased goods corresponding to each target medicine: the quantity of target medicines, the merchant grade of a supplier, the estimated receiving time, the historical favorable rating and the price which can be met;
wherein a supplier is considered to be able to satisfy a target drug when the supplier is able to provide a target item that successfully matches the target drug.
Optionally, the article recommendation module is further configured to:
before or after a list of commodities to be purchased is generated, identifying a user information text in the medicine prescription, and checking the quantity of the commodities to be purchased according to the user information text, a medicine specification text and an operation instruction text in the medicine text, or according to the medicine specification and the operation instruction of the commodities to be purchased in the medicine library.
Optionally, the article recommendation module is further configured to:
after a list of commodities to be purchased is generated, responding to a list change request of a user, and updating the list of the commodities to be purchased; or responding to an order placing request of a user, and generating a commodity order to be purchased according to the commodity list to be purchased.
Optionally, the article recommendation module is further configured to:
after a list of commodities to be purchased is generated, responding to an order placing request of a user, generating an order of the commodities to be purchased according to the list of the commodities to be purchased, sending the order of the commodities to be purchased to an auditor, and responding to an order updating instruction of the auditor, and updating the order of the commodities to be purchased.
Optionally, the item recommendation module is further configured to:
before or after the order of the commodity to be purchased is generated, identifying a user information text in the medicine prescription, and filling a medicine purchaser information item according to the user information text.
Optionally, the drug library includes drug status of drugs; the drug matching module matches the drug text with a pre-constructed drug library, including: matching the medicine text with the medicines in the starting state in a pre-constructed medicine library;
the device also comprises a drug library module used for: in response to the drug library amplification, marking an amplified drug amplified into the drug library as inactive; in response to the presence of an on-sale good in the on-sale good thesaurus that matches the amplification drug, marking the amplification drug as enabled.
According to a third aspect of the embodiments of the present invention, there is provided an electronic device for online medication purchase management, including:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method provided by the first aspect of the embodiments of the present invention.
According to a fourth aspect of embodiments of the present invention, there is provided a computer-readable medium, on which a computer program is stored, which when executed by a processor, performs the method provided by the first aspect of embodiments of the present invention.
One embodiment of the above invention has the following advantages or benefits: according to the embodiment of the invention, a medicine prescription is analyzed from an online medicine purchasing request, a medicine text in the medicine prescription is identified, the medicine text is matched with medicines in a pre-constructed medicine library, a medicine which is successfully matched is taken as a target medicine, the target medicine is matched with commodities in a pre-constructed commodity selling lexicon, the commodities which are successfully matched are taken as target commodities, and a commodity list to be purchased is generated according to the target commodities corresponding to various target medicines. The medicine library in the embodiment of the invention is a pre-constructed professional bottom database, and the medicine text in the medicine prescription is matched with the medicines in the medicine library, so that the successfully matched medicines are taken as target medicines, and the identification accuracy rate of the medicines in the medicine prescription can be improved; the word stock of the on-sale commodities in the embodiment of the invention is formed by all on-sale commodities and descriptors thereof, and the target commodity obtained by matching is the current commodity to be sold by matching the target medicine with the commodity in the pre-constructed on-sale commodity word stock, so that the current commodity which is not on-sale is prevented from being used as the target commodity, and the matching accuracy is improved; the commodity list to be purchased is generated according to the target commodities corresponding to the various target medicines, so that the online medicine purchasing steps and the online medicine purchasing process can be simplified, and the online medicine purchasing efficiency is improved.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is a schematic diagram of a main flow of a method of online medication purchase management according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of the main modules of an online medication purchase management apparatus according to an embodiment of the present invention;
FIG. 3 is an exemplary system architecture diagram in which embodiments of the present invention may be applied;
fig. 4 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention 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 invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
In the technical solution of the present disclosure, the aspects of collecting, updating, analyzing, processing, using, transmitting, storing and the like of the personal information of the user all conform to the regulations of the relevant laws and regulations, and are used for legal purposes without violating the customs of public order. Necessary measures are taken for the personal information of the user, the illegal access to the personal information data of the user is prevented, and the personal information safety, the network safety and the national safety of the user are maintained.
According to a first aspect of embodiments of the present invention, a method for online medication purchase management is provided.
Fig. 1 is a schematic diagram of a main flow of a method for managing online medicine purchase according to an embodiment of the present invention, and as shown in fig. 1, the method for managing online medicine purchase includes: step S101, step S102, step S103, and step S104.
Step S101, analyzing a medicine prescription from the online medicine purchasing request, and identifying a medicine text in the medicine prescription.
The medicine prescription in the embodiment of the invention refers to a paper prescription or an electronic edition prescription which is provided by a doctor for a user after an off-line hospital doctor consults or an on-line doctor consults, and the paper prescription can be handwritten. A prescription may contain one drug or multiple drugs, each of which may be one or more in number. The online purchase request carries a medicine prescription, which may be an image obtained by photographing or scanning a paper prescription, an image obtained by photographing an electronic version of the prescription, or an electronic version of the prescription. When a user plans to purchase medicine on line, a paper prescription or an electronic prescription can be shot, an on-line medicine purchase request can be sent according to the shot image, and a stored prescription image can be selected, and the on-line medicine purchase request can be sent according to the selected image. Illustratively, a user uses a small tool for shooting a prescription and purchasing medicine provided by a medicine purchasing platform to shoot a prescription or upload a shot photo, and the tool can be embedded into the medicine purchasing platform in the form of a small program or a reusable component such as an M page (the M page refers to a webpage of a mobile terminal device such as a mobile phone and a tablet computer).
The medicine prescription may contain text information, image information, and the like. The text information may include a user information text, a medicine text, hospital information, a doctor information text, and the like, and the medicine text includes a medicine identification text (medicine identification is used to uniquely represent a kind of medicine) and a symptom description text. The user information is typically the basic information such as user name, gender, age, fee category, prescription number, etc.
In practical applications, an OCR (Optical Character Recognition) algorithm may be used to identify the drug text in the drug prescription. Most of the medicine prescriptions are structured contents, for example, the user information part is "name: zhang three or (name Zhang three). For example, in the process of identifying the text of the medicine, the text in the text area of the medicine or the text closer to the text area of the medicine can be identified through the page structure of the medicine prescription; in recognizing the user information text, a region of the user information text or a text before a colon or a space near the region is recognized. The identified information may further be used to augment an updated prescription template library, such as a thesaurus of user information text augmented with commonly filled-in content by colon or blank.
At present, the prescription form of online medicine purchase is mostly machine-made prescription, electronic-version prescription or online prescription screenshot, and the prescription can be identified in a prescription structuring mode. For the handwritten prescriptions, in order to improve the recognition accuracy, a corresponding prescription template can be constructed and directional optimization processing can be performed to improve the recognition accuracy of the prescriptions. When the prescription template is constructed, a prescription template and font preference of a hospital or a doctor prescription can be constructed after hospital doctor information identification, and a structured information template corresponding to the hospital is stored.
In some embodiments of the invention, before identifying the drug text in the drug prescription, a hospital doctor information base is constructed, and prescription templates of the hospital and/or the doctors are constructed according to historical drug prescriptions issued by each doctor in the hospital doctor information base; the hospital doctor information base comprises doctor identifiers of doctors, or the hospital doctor information base comprises doctor identifiers of doctors, hospital identifiers (such as hospital names and hospital short names) and/or department identifiers of the doctors; the prescription template comprises a hospital information area, a user information area and a medicine information area. Identifying drug text in the drug order, comprising: determining a medicine information area in the medicine prescription according to the established prescription template, and extracting a medicine text in the medicine prescription from the medicine information area in the medicine prescription.
In other embodiments of the present invention, the pharmaceutical order is an image of a paper order. When the medicine text in the medicine prescription is identified, whether the prescription paper is bent or folded can be identified through the size ratio of fonts of adjacent areas, the consistency of the font directions and the like, and the correction is preferentially carried out after the identification. Specifically, under the condition that a bent part or a folded part exists in the medicine prescription, similar contents are selected from the contents of a pre-constructed prescription template and sent to a user, and the similar contents are confirmed or modified according to an operation instruction fed back by the user to obtain the medicine text. In the embodiment, similar contents are selected from the contents of the pre-constructed prescription template and sent to the user, and the similar contents are confirmed or modified according to the operation instruction fed back by the user, so that the identification accuracy can be improved under the condition that the paper prescription is bent and fuzzy.
In still other embodiments of the present invention, the pharmaceutical prescription is an image of a paper prescription. Before identifying a medicine text in the medicine prescription, judging whether the medicine prescription has an angle inclination; under the condition that the medicine prescription has an angle inclination, judging the inclination angle of the medicine prescription according to the inclination angle of preset characters and/or preset strokes in the medicine prescription; and correcting the angle of the medicine prescription according to the inclination angle of the medicine prescription. The preset character and the preset stroke may be selectively set, for example, a 90 ° stroke, a comma, a colon, or the like. The user may have the conditions of angle inclination and rotation when shooting or scanning the paper prescription, the inclination angle of the medicine prescription is judged according to the inclination angle of the preset characters and/or the preset strokes in the medicine text, and then the medicine prescription is subjected to angle correction under the conditions of angle inclination and rotation when the medicine prescription is possibly existed, so that the identification accuracy of the medicine text can be improved.
And S102, matching the medicine text with the medicines in a pre-constructed medicine library, and taking the successfully matched medicines as target medicines.
In the embodiment of the invention, a medicine library is constructed in advance for correctly matching the on-sale commodities. The drug library in the embodiment of the invention is related information of a drug determined by a national approved document and a drug specification, and comprises fields of a drug universal name (drug identification), an approved document, a drug specification, a manufacturer, an adaptation disease and the like.
The related information of the goods on sale may be issued by the merchant, for example, the title of the goods is issued by the merchant. If matching is performed not using the drug library but directly matching the drug text with the information on the product on sale, the matching accuracy is low, and for example, it is possible to match a drug with a size of 5mg by 12 to a product on sale with a size of 4mg by 12 because the size is not necessarily included in the product title. According to the embodiment of the invention, the medicine text in the medicine prescription is matched with the medicines in the medicine library, and the successfully matched medicines are taken as the target medicines, so that the identification accuracy of the medicines in the medicine prescription can be improved, the confusion among the similar medicines is avoided, and the names of the rarely used medicines can be accurately identified.
In some embodiments of the invention, the drug text comprises drug identification text and symptom description text, and the drug library comprises drug identifications and adaptation conditions for the drugs. Matching the medicine text with the medicines in a pre-constructed medicine library, and taking the successfully matched medicines as target medicines, wherein the matching comprises the following steps: matching the symptom description text with the adaptation symptoms of various medicines in the medicine library, and taking the successfully matched medicines as candidate medicines; and matching the medicine description text with the medicine identifications of the various candidate medicines, and taking the candidate medicines which are successfully matched as the target medicines. In the embodiment of the invention, a common medicine set with various symptoms can be constructed based on the medicine library, and when the medicine text is matched with the medicines in the medicine library, the medicine text can be matched with the medicines in the corresponding common medicine set, so that the matching efficiency is improved.
The criterion for determining the matching success may be selectively set according to actual conditions, for example, when the symptom description text is matched with the adaptive symptoms of various medicines in the medicine library, when the adaptive symptoms of the medicines include the symptom description text, or when the similarity between the symptom description text and the adaptive symptoms of the medicines exceeds a set threshold, the matching is considered to be successful.
And step S103, matching the target medicine with the commodities in a pre-constructed commodity selling lexicon, and taking the successfully matched commodity as the target commodity. The word stock of the on-sale commodities in the embodiment of the invention is a word stock formed by all on-sale commodities and descriptors (such as commodity titles) thereof, and the target commodities obtained by matching are the commodities in the pre-constructed word stock of the on-sale commodities, so that the commodities which are not on sale currently are avoided being used as the target commodities, and the matching accuracy is improved.
And step S104, generating a list of commodities to be purchased according to the target commodities corresponding to the target medicines. The commodity list to be purchased is generated according to the target commodities corresponding to the various target medicines, so that the steps and the flow of online medicine purchasing can be simplified, and the online medicine purchasing efficiency is improved.
Generating a list of commodities to be purchased according to the target commodities corresponding to the various target medicines, wherein the list of commodities to be purchased may include: when the target goods corresponding to the target medicines are multiple, selecting one of the multiple target goods as a to-be-purchased goods corresponding to the target medicines according to at least one of the following factors, and generating a to-be-purchased goods list according to the to-be-purchased goods corresponding to each target medicine: the quantity of target medicines, the merchant grade of a supplier, the estimated receiving time, the historical favorable rating and the price which can be met; wherein a supplier is considered to be able to satisfy a target drug when the supplier is able to provide a target item that successfully matches the target drug. The various factors may have different priorities, and the priority settings of the various factors may be different for different users or different conditions to achieve personalized settings.
For example, there are multiple target commodities corresponding to the target drug, for example, there are multiple target commodities sold at different prices by merchants in different regions (each target commodity corresponds to one SKU), and the stock of each target commodity may also be different, and when determining the commodity to be purchased corresponding to the target drug, the determination may be performed according to the following rules:
(1) Preferentially selecting merchants with higher merchant levels (such as service levels) to perform medicine matching, and taking target commodities provided by the merchants as commodities to be purchased corresponding to the target medicines; wherein the content of the first and second substances,
when the grades of the merchants are the same, the merchants which can meet the medicine prescription can be preferentially selected for medicine matching, namely, the merchants which can provide one target commodity corresponding to all target medicines in the medicine prescription at one time are selected for matching, and the target commodity provided by the corresponding merchants is used as the commodity to be purchased corresponding to the target medicines;
if a single merchant can not meet the prescription, the merchant which can provide most target commodities supplies goods, other target commodities are supplied by other merchants with higher service levels, and when the merchants with the same service levels meet the merchants, the merchant with the optimal freight rate is selected;
(2) When (1) two or more to-be-purchased list schemes can be obtained, selecting the scheme with the nearest goods receiving time;
(3) When two target commodities of the same merchant accord with the conditions of the target medicines, the target commodity with more favorable history is selected as the commodity to be purchased corresponding to the target medicine.
The user can not know the upper limit of the purchasable medicines professionally and accurately in the use of the medicines under the condition that the medicine taking period exists in part of the medicines, and more or less selections are easy to select. In view of this, in the embodiment of the present invention, before or after the list of the to-be-purchased commodities is generated, the user information text in the medicine prescription may be further identified, and the to-be-purchased quantity of the to-be-purchased commodities may be verified according to the user information text, the medicine specification text and the usage description text in the medicine text, or according to the medicine specification and the usage description of the to-be-purchased commodities in the medicine library. A typical drug will contain drug specifications and instructions, for example, if the drug specification for an oral liquid is a box of 5ml x 10 bottles, the instructions are for 1-2 bottles per day, and the maximum number of consecutive administrations is no more than 7 days, then the number of the drug to be purchased is 1 box.
In the embodiment of the invention, after the list of the commodities to be purchased is generated, the list of the commodities to be purchased can be updated in response to the list change request of the user. For example, part of the commodities in the list to be purchased are deleted or new commodities are added to the list to be purchased, or the quantity to be purchased of each commodity to be purchased in the list to be purchased is modified.
In the embodiment of the invention, after the list of the commodities to be purchased is generated, an order of the commodities to be purchased can be generated according to the list of the commodities to be purchased in response to an order placing request of a user, so that the user can purchase all the commodities in the list to be purchased at one time. After the order of the commodity to be purchased is generated, the order of the commodity to be purchased may be sent to an auditor, and the order of the commodity to be purchased may be updated in response to an order update instruction of the auditor. The auditing doctor can audit the types and the quantity of the medicines in the commodity order to be purchased according to the user information. For example, if the medicine specification of an oral liquid is a box of 5ml by 10 bottles, 1-2 bottles are reused every day in the instruction, and the medicine is continuously taken for no more than 7 days, the single prescription is judged to be no more than 1 box according to the information in the stage of performing the doctor's examination, and if the dosage of adults and children is different, the doctor can distinguish according to the age in the information of the medicine provider.
In the embodiment of the invention, before or after the commodity order to be purchased is generated, the user information text in the medicine prescription can be identified, and the information item of the medicine purchaser can be filled according to the user information text. The online medicine purchasing real-name system has the advantages that the time for manually filling the personal complete information is long, the user information identified in the prescription is backfilled to the information item of the medicine purchaser, and the user can confirm the information and supplement the information required by the identity card or other platforms, so that the online medicine purchasing efficiency is improved.
Optionally, the drug library comprises drug statuses of drugs; matching the drug text with a pre-constructed drug library, comprising: matching the medicine text with the medicines in the starting state in a pre-constructed medicine library; the method further comprises the following steps: in response to the drug library amplification, marking an amplified drug amplified into the drug library as a non-activated state; in response to the presence of an on-sale good in the on-sale good thesaurus that matches the amplification drug, marking the amplification drug as enabled. The embodiment can realize automatic maintenance and updating of the drug library. In addition, the medicine library comprises a plurality of medicines for obtaining the medicine approval document numbers, when a new medicine obtains the medicine approval document number, the medicine and related information thereof can be amplified into the medicine library, the medicine may not be sold yet, and when the medicine is matched, only the medicine text is matched with the medicine in the activated state in the medicine library, so that part of the medicine which is not sold yet can be filtered, and the subsequent matching efficiency is improved.
According to the embodiment of the invention, the medicine text in the medicine prescription is matched with the medicines in the medicine library, and the successfully matched medicines are used as target medicines, so that the identification accuracy of the medicines in the medicine prescription can be improved; by matching the target medicine with the commodities in the pre-constructed commodity word stock for sale, the target commodity obtained by matching can be the commodity for sale at present, the commodity which is not sold at present is prevented from being used as the target commodity, and the matching accuracy is improved; the commodity list to be purchased is generated according to the target commodities corresponding to the various target medicines, so that the online medicine purchasing steps and processes can be simplified, and the online medicine purchasing efficiency is improved.
The following details an online medicine purchasing process in the embodiment of the present invention with reference to specific examples, including:
(1) And receiving an online medicine purchasing request of a user, wherein the user uses a small 'shooting prescription medicine purchasing' tool provided by a medicine purchasing platform to shoot and upload a prescription, and the tool can be embedded into the medicine purchasing platform in a small program or M-page or other reusable component form.
(2) And aiming at the medicine prescription, analyzing based on a medicine library, a disease library, a hospital library, a doctor library and a department library which are constructed in advance, and identifying the target medicine contained in the medicine prescription.
(3) And matching and determining target commodities according to the commodity word bank on sale and the target medicines of the platform, determining commodities to be purchased according to various target commodities which can be sold by the platform, adding the commodities to be purchased into a shopping cart, and simultaneously checking that the quantity of the commodities to be purchased in the commodity list to be purchased does not exceed the upper limit of the medicine use.
(4) And the platform backfills the user information identified in the prescription to the information of the tool purchaser, and the user confirms the information and supplements an identity card or other platform required information.
(5) The user submits payment for the order.
(6) The online doctor examines the medicine prescription and the commodity to be purchased.
(7) And after the audit is passed, displaying the logistics information. Eventually, the user will receive the corresponding drug through logistics.
According to a second aspect of the embodiments of the present invention, an apparatus for implementing the above method is provided.
Fig. 2 is a schematic diagram of main modules of an online medicine purchase management apparatus according to an embodiment of the present invention. As shown in fig. 2, the apparatus 200 for online medicine purchase management includes:
the text recognition module 201 is used for analyzing a medicine prescription from the online medicine purchasing request and recognizing a medicine text in the medicine prescription;
the medicine matching module 202 is used for matching the medicine text with medicines in a pre-constructed medicine library and taking the successfully matched medicines as target medicines;
the commodity matching module 203 is used for matching the target medicine with commodities in a pre-constructed commodity selling lexicon and taking the successfully matched commodity as the target commodity;
and the commodity recommending module 204 is used for generating a commodity list to be purchased according to the target commodities corresponding to the target medicines.
Optionally, the apparatus further comprises: an information construction module to: before identifying medicine texts in the medicine prescriptions, a hospital doctor information base is established, and prescription templates of the hospitals and/or doctors are established according to historical medicine prescriptions issued by each doctor in the hospital doctor information base; the hospital doctor information base comprises doctor identifications of all doctors, or the hospital doctor information base comprises the doctor identifications of all doctors and the hospital identifications and/or department identifications of the doctors; the prescription template comprises a hospital information area, a user information area and a medicine information area;
the text recognition module recognizes the medicine text in the medicine prescription, and comprises the following steps: determining a medicine information area in the medicine prescription according to the established prescription template, and extracting a medicine text in the medicine prescription from the medicine information area in the medicine prescription.
Optionally, the drug prescription is an image of a paper prescription;
the text recognition module recognizes a drug text in the drug prescription, including: and under the condition that a bent part or a folded part exists in the medicine prescription, selecting similar contents from the contents of a pre-constructed prescription template and sending the similar contents to a user, and confirming or modifying the similar contents according to an operation instruction fed back by the user to obtain the medicine text.
Optionally, the drug prescription is an image of a paper prescription;
the text recognition module is further configured to: before identifying a medicine text in the medicine prescription, judging whether the medicine prescription has an angle inclination; under the condition that the medicine prescription has an angle inclination, judging the inclination angle of the medicine prescription according to the inclination angle of preset characters and/or preset strokes in the medicine prescription; and correcting the angle of the medicine prescription according to the inclination angle of the medicine prescription.
Optionally, the drug text comprises a drug identification text and a symptom description text; the drug library comprises drug identifications and adaptation diseases of the drugs;
the drug matching module matches the drug text with drugs in a pre-constructed drug library, and takes the successfully matched drugs as target drugs, including: matching the symptom description text with the adaptation symptoms of various medicines in the medicine library, and taking the successfully matched medicines as candidate medicines; and matching the medicine description text with the medicine identifications of the various candidate medicines, and taking the candidate medicines which are successfully matched as the target medicines.
Optionally, the commodity recommending module generates a list of commodities to be purchased according to the target commodities corresponding to the target medicines, where the method includes: when the target commodities corresponding to the target medicines are multiple, selecting one of the multiple target commodities according to at least one of the following factors to serve as a commodity to be purchased corresponding to the target medicine, and generating a commodity list to be purchased according to the commodity to be purchased corresponding to each target medicine: the quantity of target drugs, the merchant grade of a supplier, the estimated receiving time, the historical favorable rating and the price which can be met;
wherein a supplier is considered to be able to satisfy a target drug when the supplier is able to provide a target item that successfully matches the target drug.
Optionally, the article recommendation module is further configured to:
before or after a list of the commodities to be purchased is generated, identifying a user information text in the medicine prescription, and checking the quantity of the commodities to be purchased according to the user information text, the medicine specification text and the use instruction text in the medicine text, or according to the medicine specification and the use instruction text of the commodities to be purchased in the medicine library.
Optionally, the item recommendation module is further configured to:
after a list of commodities to be purchased is generated, responding to a list change request of a user, and updating the list of the commodities to be purchased; or responding to an order placing request of a user, and generating a commodity order to be purchased according to the commodity list to be purchased.
Optionally, the article recommendation module is further configured to:
after a list of commodities to be purchased is generated, responding to an order placing request of a user, generating an order of the commodities to be purchased according to the list of the commodities to be purchased, sending the order of the commodities to be purchased to an auditor, and responding to an order updating instruction of the auditor, and updating the order of the commodities to be purchased.
Optionally, the article recommendation module is further configured to:
before or after the order of the commodity to be purchased is generated, identifying a user information text in the medicine prescription, and filling a medicine purchaser information item according to the user information text.
Optionally, the drug library includes drug status of drugs; the drug matching module matches the drug text with a pre-constructed drug library, including: matching the medicine text with the medicines in the starting state in a pre-constructed medicine library;
the device also comprises a drug library module used for: in response to the drug library amplification, marking an amplified drug amplified into the drug library as a non-activated state; in response to the presence of an on-sale good in the on-sale good thesaurus that matches the amplification drug, marking the amplification drug as enabled.
According to a third aspect of the embodiments of the present invention, there is provided an electronic device for online medicine purchase management, including:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method provided by the first aspect of the embodiments of the present invention.
According to a fourth aspect of embodiments of the present invention, there is provided a computer readable medium, on which a computer program is stored, which when executed by a processor, implements the method provided by the first aspect of embodiments of the present invention.
Fig. 3 illustrates an exemplary system architecture 300 to which the method of online medication purchase management or the apparatus of online medication purchase management of an embodiment of the present invention may be applied.
As shown in fig. 3, the system architecture 300 may include terminal devices 301, 302, 303, a network 304, and a server 305. Network 304 is the medium used to provide communication links between terminal devices 301, 302, 303 and server 305. Network 304 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal device 301, 302, 303 to interact with the server 305 via the network 304 to receive or send messages or the like. The terminal devices 301, 302, 303 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 301, 302, 303 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 305 may be a server providing various services, such as a background management server (for example only) providing support for shopping-like websites browsed by users using the terminal devices 301, 302, 303. The backend management server may analyze and perform other processing on the received data such as the product information query request, and feed back a processing result (for example, target push information, product information — just an example) to the terminal device.
It should be noted that the method for managing online medicine purchasing provided by the embodiment of the present invention is generally executed by the server 305, and accordingly, the device for managing online medicine purchasing is generally disposed in the server 305.
It should be understood that the number of terminal devices, networks, and servers in fig. 3 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 4, a block diagram of a computer system 400 suitable for use with a terminal device implementing an embodiment of the invention is shown. The terminal device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 4, the computer system 400 includes a Central Processing Unit (CPU) 401 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 402 or a program loaded from a storage section 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the system 400 are also stored. The CPU 401, ROM 402, and RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
The following components are connected to the I/O interface 405: an input section 406 including a keyboard, a mouse, and the like; an output section 407 including a display device such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 408 including a hard disk and the like; and a communication section 409 including a network interface card such as a LAN card, a modem, or the like. The communication section 409 performs communication processing via a network such as the internet. A drive 410 is also connected to the I/O interface 405 as needed. A removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 410 as necessary, so that a computer program read out therefrom is mounted into the storage section 408 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer-readable medium, the computer program comprising program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 409 and/or installed from the removable medium 411. The computer program performs the above-described functions defined in the system of the present invention when executed by a Central Processing Unit (CPU) 401.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having 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. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor comprising: the system comprises a text recognition module, a medicine matching module, a commodity matching module and a commodity recommendation module. Where the names of these modules do not in some cases constitute a limitation on the module itself, for example, a text recognition module may also be described as a "module that matches the target drug with pre-constructed goods in a thesaurus of sold goods".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: analyzing a medicine prescription from the online medicine purchase request, and identifying a medicine text in the medicine prescription; matching the medicine text with medicines in a pre-constructed medicine library, and taking the successfully matched medicines as target medicines; matching the target medicine with commodities in a pre-constructed commodity selling lexicon, and taking the successfully matched commodities as target commodities; and generating a list of the commodities to be purchased according to the target commodities corresponding to the various target medicines.
According to the technical scheme of the embodiment of the invention, the medicine text in the medicine prescription is matched with the medicines in the medicine library, and the successfully matched medicines are taken as target medicines, so that the identification accuracy of the medicines in the medicine prescription can be improved; by matching the target medicine with the commodities in the pre-constructed commodity word stock for sale, the target commodity obtained by matching can be the commodity for sale at present, the commodity which is not sold at present is prevented from being used as the target commodity, and the matching accuracy is improved; the commodity list to be purchased is generated according to the target commodities corresponding to the various target medicines, so that the online medicine purchasing steps and processes can be simplified, and the online medicine purchasing efficiency is improved.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (14)
1. A method for online medication purchase management, comprising:
analyzing a medicine prescription from the online medicine purchase request, and identifying a medicine text in the medicine prescription;
matching the medicine text with medicines in a pre-constructed medicine library, and taking the successfully matched medicines as target medicines;
matching the target medicine with commodities in a pre-constructed commodity selling lexicon, and taking the successfully matched commodities as target commodities;
and generating a list of commodities to be purchased according to the target commodities corresponding to the various target medicines.
2. The method of claim 1, wherein the method further comprises: before identifying the medicine text in the medicine prescription, constructing a hospital doctor information base, and constructing a prescription template of the hospital and/or the doctor according to the historical medicine prescription prescribed by each doctor in the hospital doctor information base; the hospital doctor information base comprises doctor marks of all doctors, or the hospital doctor information base comprises the doctor marks of all doctors and hospital marks and/or department marks to which the doctors belong; the prescription template comprises a hospital information area, a user information area and a medicine information area;
identifying drug text in the drug order, comprising: determining a medicine information area in the medicine prescription according to the established prescription template, and extracting a medicine text in the medicine prescription from the medicine information area in the medicine prescription.
3. The method of claim 1, wherein the pharmaceutical prescription is an image of a paper prescription;
identifying drug text in the drug order, comprising: and under the condition that a bent part or a folded part exists in the medicine prescription, selecting similar contents from the contents of a pre-constructed prescription template and sending the similar contents to a user, and confirming or modifying the similar contents according to an operation instruction fed back by the user to obtain the medicine text.
4. The method of claim 1, wherein the drug prescription is an image of a paper prescription; the method further comprises the following steps:
before identifying a medicine text in the medicine prescription, judging whether the medicine prescription has an angle inclination; under the condition that the medicine prescription has an angle inclination, judging the inclination angle of the medicine prescription according to the inclination angle of preset characters and/or preset strokes in the medicine prescription; and correcting the angle of the medicine prescription according to the inclination angle of the medicine prescription.
5. The method of claim 1, wherein the drug text comprises drug identification text and symptom description text; the drug library comprises drug identifications and adaptation diseases of the drugs;
matching the medicine text with the medicines in a pre-constructed medicine library, and taking the successfully matched medicines as target medicines, wherein the steps of the method comprise: matching the symptom description text with the adaptation symptoms of various medicines in the medicine library, and taking the successfully matched medicines as candidate medicines; and matching the medicine description text with the medicine identifications of the various candidate medicines, and taking the candidate medicines which are successfully matched as the target medicines.
6. The method of claim 1, wherein generating a list of goods to be purchased according to the target goods corresponding to each target medicine comprises: when the target commodities corresponding to the target medicines are multiple, selecting one of the multiple target commodities according to at least one of the following factors to serve as a commodity to be purchased corresponding to the target medicine, and generating a commodity list to be purchased according to the commodity to be purchased corresponding to each target medicine: the quantity of target medicines, the merchant grade of a supplier, the estimated receiving time, the historical favorable rating and the price which can be met;
wherein a supplier is considered to be able to satisfy a target drug when the supplier is able to provide a target item that successfully matches the target drug.
7. The method of claim 1, wherein the method further comprises:
before or after a list of commodities to be purchased is generated, identifying a user information text in the medicine prescription, and checking the quantity of the commodities to be purchased according to the user information text, a medicine specification text and an operation instruction text in the medicine text, or according to the medicine specification and the operation instruction of the commodities to be purchased in the medicine library.
8. The method of claim 1, wherein the method further comprises:
after a list of commodities to be purchased is generated, responding to a list change request of a user, and updating the list of the commodities to be purchased; or responding to a ordering request of a user, and generating a commodity order to be purchased according to the commodity list to be purchased.
9. The method of claim 1, wherein the method further comprises:
after a list of commodities to be purchased is generated, responding to an order placing request of a user, generating an order of the commodities to be purchased according to the list of the commodities to be purchased, sending the order of the commodities to be purchased to an auditor, and responding to an order updating instruction of the auditor, and updating the order of the commodities to be purchased.
10. The method of claim 8 or 9, wherein the method further comprises:
before or after the order of the commodity to be purchased is generated, identifying a user information text in the medicine prescription, and filling a medicine purchaser information item according to the user information text.
11. The method of claim 1, wherein the drug library comprises drug statuses of drugs; matching the drug text with a pre-constructed drug library, comprising: matching the medicine text with the medicines in the starting state in a pre-constructed medicine library;
the method further comprises the following steps: in response to the drug library amplification, marking an amplified drug amplified into the drug library as a non-activated state; in response to the presence of an on-sale item in the on-sale item thesaurus that matches the amplification drug, marking the amplification drug as enabled.
12. An apparatus for online medication purchase management, comprising:
the text recognition module is used for analyzing a medicine prescription from the online medicine purchasing request and recognizing a medicine text in the medicine prescription;
the medicine matching module is used for matching the medicine text with medicines in a pre-constructed medicine library and taking the successfully matched medicines as target medicines;
the commodity matching module is used for matching the target medicine with commodities in a pre-constructed commodity selling lexicon and taking the successfully matched commodities as target commodities;
and the commodity recommendation module is used for generating a commodity list to be purchased according to the target commodities corresponding to the target medicines.
13. An electronic device for online medication purchase management, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-11.
14. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-11.
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