CN110874359B - Method and device for acquiring detailed medicine usage information - Google Patents
Method and device for acquiring detailed medicine usage information Download PDFInfo
- Publication number
- CN110874359B CN110874359B CN201811013160.4A CN201811013160A CN110874359B CN 110874359 B CN110874359 B CN 110874359B CN 201811013160 A CN201811013160 A CN 201811013160A CN 110874359 B CN110874359 B CN 110874359B
- Authority
- CN
- China
- Prior art keywords
- medicine
- usage information
- usage
- information
- database
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Abstract
The embodiment of the application discloses a method and a device for acquiring detailed usage information of medicines, wherein the method comprises the following steps: acquiring medicine usage information of medicines; extracting usage keywords from the medicine usage information; and acquiring first-level detailed usage information corresponding to the usage keywords and sentences based on a preset first database, wherein the first database stores the corresponding relation between the usage keywords and the first-level detailed usage information. The application can realize the acquisition of the detailed usage information of the medicine and effectively improve the reliability of the detailed usage information of the medicine.
Description
Technical Field
The application relates to the technical field of computer data processing, in particular to a method and a device for acquiring detailed medicine usage information.
Background
With the increasing population of today's society, the demand for medicines is increasing. Meanwhile, people can choose to purchase medicines according to the size of the symptoms or receive treatment of doctors and take medicines according to prescriptions prescribed by the doctors. However, the descriptions of the usage amounts of the medicines obtained from any of the above-described channels are not detailed enough or have a problem. For example, the user only gives a description of taking the medicine "three times a day" for the dosage in the medicine description purchased from the pharmacy, so that the non-medical professional patient cannot know the detailed information of whether the interval time of the "three times a day" needs to be equal or whether the medicine needs to be taken before meal. For example, a doctor prescribes Chinese herbal medicines for a patient, and the doctor needs to process the Chinese herbal medicines to a decoction for taking, but most doctors choose to prescribe a processing method to the patient or family members for saving time, and do not write the prescription, so that the user can hardly accurately process the Chinese herbal medicines in the prescription when processing the Chinese herbal medicines by himself, and the medicine effect is affected, and therefore, obtaining detailed usage information of medicines is very urgent.
The existing method for acquiring detailed usage information of medicines is generally a method for searching historical information of processing or taking the medicines by other people from a network or a method for independently searching single words which cannot be fully understood, so that the user acquires each processing mode of the medicines or explanation of taking related words.
However, in any of the prior art methods for acquiring detailed drug usage information, it is impossible to ensure clearly acquired detailed drug usage information.
Disclosure of Invention
Aiming at the problems in the prior art, the application provides a method and a device for acquiring detailed usage information of medicines, which can acquire the detailed usage information of medicines and effectively improve the reliability of the detailed usage information of medicines.
In order to solve the technical problems, the application provides the following technical scheme:
in a first aspect, the present application provides a method for acquiring detailed usage information of a drug, including:
acquiring medicine usage information of medicines;
extracting usage keywords from the medicine usage information;
and acquiring first-level detailed usage information corresponding to the usage keywords and sentences based on a preset first database, wherein the first database stores the corresponding relation between the usage keywords and the first-level detailed usage information.
In a second aspect, the present application provides an apparatus for acquiring detailed drug usage information, comprising:
the medicine usage information acquisition module is used for acquiring medicine usage information of medicines;
the usage keyword sentence extraction module is used for extracting usage keyword sentences from the medicine usage information;
the first database retrieval module is used for acquiring first-level detailed usage information corresponding to the usage keywords and sentences based on a preset first database, wherein the first database stores the corresponding relation between the usage keywords and the first-level detailed usage information.
In a third aspect, the present application provides a client device comprising: the image acquisition unit is used for acquiring prescription images; and/or a code scanning unit for reading the bar code or the two-dimensional code of the medicine to obtain the medicine identification; the communication unit is used for sending the prescription image or the medicine identifier to the server-side equipment so that the server-side equipment can acquire detailed medicine usage information according to the prescription image or the medicine identifier; the server side equipment is also used for receiving the detailed medicine usage information returned by the server side equipment; and the display interface is used for displaying the detailed medicine usage information.
In a fourth aspect, the present application provides a client device, comprising: the image acquisition unit is used for acquiring prescription images; and/or a code scanning unit for reading the bar code or the two-dimensional code of the medicine to obtain the medicine identification; the processor is used for acquiring detailed medicine usage information according to the prescription image or the medicine identifier; and the display interface is used for displaying the detailed medicine usage information.
In a fifth aspect, the present application provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method for acquiring drug detailed usage information when executing the program.
In a sixth aspect, the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method of acquiring drug detailed usage information.
The application provides a method, a device, electronic equipment and a storage medium for acquiring detailed medicine usage information, wherein medicine usage information of medicines is acquired; extracting usage keywords from the medicine usage information; based on a preset first database, first-level detailed usage information corresponding to the usage keywords and sentences is obtained, wherein the corresponding relation between the usage keywords and the first-level detailed usage information is stored in the first database, so that the reliability of the detailed usage information of the medicine can be effectively improved, the accurate detailed usage information of the medicine can be obtained by a user, the time cost of the user is effectively saved, and the user experience is improved.
Drawings
In order to more clearly illustrate the embodiments of the present description or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present description, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of an architecture of an apparatus for acquiring drug detailed usage information according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a first scenario in a method for acquiring detailed usage information of a drug according to the present application;
FIG. 3 is a schematic diagram of logic execution of scenario one in a method for acquiring detailed usage information of a drug according to the present application;
FIG. 4 is a schematic flow chart of a second scenario in the method for acquiring detailed usage information of a drug according to the present application;
FIG. 5 is a schematic diagram of logic execution of scenario two in a method for acquiring detailed usage information of a drug according to the present application;
FIG. 6 is a flowchart of a third scenario in a method for acquiring detailed usage information of a drug according to the present application;
FIG. 7 is a schematic diagram illustrating a logic implementation of scenario III in a method for acquiring detailed usage information of a drug according to the present application;
FIG. 8 is a flowchart of a fourth scenario among the methods for acquiring detailed usage information of a drug according to the present application;
FIG. 9 is a schematic diagram illustrating logic execution of scenario four in a method for acquiring detailed usage information of a drug according to the present application;
FIG. 10 is a flow chart of a method for obtaining detailed usage information of a drug according to the present application;
FIG. 11 is a schematic diagram showing the construction of a device for acquiring detailed usage information of a medicine according to the present application;
FIG. 12 is a schematic diagram of an embodiment of an electronic device of the present application;
fig. 13 is a block diagram showing a hardware configuration of an acquisition server for detailed usage information of a medicine according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions in the present specification better understood by those skilled in the art, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are intended to be within the scope of the present disclosure.
Aiming at the problem that the detailed medicine usage information which can not be obtained by a user quickly and clearly cannot be ensured in the prior art, the embodiment of the specification provides a method for obtaining the detailed medicine usage information by obtaining the medicine usage information of the medicine; extracting usage keywords from the medicine usage information; and acquiring the first-level detailed usage information corresponding to the usage keyword sentence based on a preset first database, wherein the first database stores the corresponding relation between the usage keyword sentence and the first-level detailed usage information, so that the acquisition of the detailed usage information of the medicine can be realized, the accuracy, the reliability and the degree of automation of the detailed usage information of the medicine can be effectively improved, the accurate detailed usage information of the medicine can be ensured to be acquired by a user, the time cost of the user can be effectively saved, and the user experience can be improved. Based on the above problems in the prior art, the present application further provides a device for acquiring drug detailed usage information for implementing the method for acquiring drug detailed usage information, referring to fig. 1, where the device for acquiring drug detailed usage information includes a server device 101 and a client device 102, where the server device 101 is configured to acquire drug usage information of a drug, extract usage keywords from the drug usage information, and acquire first-level detailed usage information corresponding to the usage keywords based on a preset first database. The client device 102 may be provided with an image acquisition unit and/or a code scanning unit, such as a camera and/or a code scanning APP, etc. The image acquisition unit may be used to acquire prescription images. The code scanning unit can be used for reading bar codes or two-dimensional codes of medicines to obtain medicine identifications. The client device 102 is configured to collect a prescription image containing drug information, and send the prescription image to the server device 101, so that the server device 101 obtains the drug information according to the prescription image. The client device 102 may also be configured to read a two-dimensional code or a bar code on the drug packaging box, and send the read drug identifier to the server device 101, so that the server device 101 determines the enhancement information corresponding to the drug according to the drug identifier. In addition, the client device 102 may further include a display interface, where the server device 101 sends the finally obtained detailed usage information of the medicine, that is, one or any combination of the first-level detailed usage information, the enhancement usage description, the second-level detailed usage information, and the enhancement usage description of the medicine, to the client device 102, and after receiving one or any combination of the first-level detailed usage information, the enhancement usage description, the second-level detailed usage information, and the enhancement usage description of the medicine, the client device 102 displays these information on the display interface, so that the user only needs to apply the client device 102 to complete the process of capturing an image of a prescription or scanning a code of an external package of the medicine, so that the detailed usage information of the medicine can be obtained on the display interface of the client device 102.
In practical applications, the part for obtaining the detailed usage information of the medicine may be performed at the server side as described above, i.e. the architecture shown in fig. 1, or all operations may be performed in the client device. Specifically, the selection may be made according to the processing capability of the device, and restrictions of the user's usage scenario, etc. The application is not limited in this regard. If all operations are performed in the client device, the client device may further include a processor for acquiring detailed usage information of the medicine according to the prescription image or the medicine identifier.
The client device can be a terminal device, such as a smart phone, a tablet computer, an intelligent wearable device, a special shooting device and the like. The client can be provided with a communication module (i.e. a communication unit) and can be in communication connection with a remote server to realize data transmission with the server. For example, the communication unit may transmit the prescription image or the drug identifier to the server-side device, so that the server-side device obtains the drug detailed usage information according to the prescription image or the drug identifier. The communication unit can also receive the detailed medicine usage information returned by the server-side equipment. The server may include a server on the side of the task scheduling center, and in other implementations may include a server of an intermediate platform, such as a server of a third party server platform having a communication link with the task scheduling center server. The server may include a single computer device, a server cluster formed by a plurality of servers, or a server structure of a distributed device.
The server and the terminal device may communicate using any suitable network protocol, including one that has not been developed on the filing date of the present application. The network protocols may include, for example, TCP/IP protocol, UDP/IP protocol, HTTP protocol, HTTPS protocol, etc. Of course, the network protocol may also include, for example, RPC protocol (Remote Procedure Call Protocol ), REST protocol (Representational State Transfer, representational state transfer protocol), etc. used above the above-described protocol.
In one or more embodiments of the present application, a first database, a second database, a third database, a fourth database, a fifth database, and other relational databases may be pre-established, where the first database stores a correspondence between a usage keyword sentence and first-level detailed usage information, the second database stores a correspondence between a drug name and first-level detailed usage information, the third database stores a correspondence between a user keyword, a drug keyword, and an enhancement usage description, the fourth database stores a correspondence between a user keyword, a diagnosis result sentence, and a general usage description, and the fifth database stores a correspondence between the drug identifier and the enhancement usage description, and contents stored in each database are specifically referred to in table 1.
TABLE 1
It will be appreciated that the first database, the second database, the third database, the fourth database and the fifth database may be five databases which are stored separately, and the associated databases may be stored in one database. For example: the first database and the second database may be combined into one database storing correspondence between usage keywords, drug names, and primary detailed usage information. In addition, to improve the reliability of data storage, each database may be a distributed database.
In the above description of databases, each database may also be referred to as a respective one in terms of a division of functionality: the first database is: a drug usage translation dictionary; the second database is: dictionary of standard usage of medicines; the third database is: a drug enhancement usage dictionary; the fourth database is: a universal usage dictionary; the fifth database is: the drug enhances the translation dictionary.
It is understood that the medicine refers to a substance for preventing, treating, diagnosing a disease of a person, purposefully regulating physiological functions of a person and prescribing indications or functional indications, usage and dosage, including Chinese medicinal materials, decoction pieces of Chinese medicinal materials, chinese patent medicines, chemical raw medicines and preparations thereof, antibiotics, biochemical medicines, radiopharmaceuticals, serum, vaccines, blood products, diagnostic medicines, and the like. That is, the drug is a generic term for finished and semi-finished products. For example, capsules, oral liquids, etc. which can be taken directly after unpacking are finished products, and are required to be decocted.
In this embodiment of the present disclosure, the drug information refers to related information corresponding to a drug, where the drug information may include drug introduction information of the drug, and the drug introduction information may include a name of the drug. In addition, the source of the medicine information can be related information corresponding to the semi-finished medicine or related information corresponding to the finished medicine.
In the embodiment of the present specification, the drug information may further include drug usage information. The medicine usage information may include any part or all of the processing method information and the administration method information of the medicine, so as to be applicable to medicine information from different sources.
The prescription refers to a medical document which is issued by registered medical practitioners and medical assistant doctors (hereinafter referred to as doctors) for patients in diagnosis and treatment activities, is checked, allocated and checked by a pharmaceutical professional technician (hereinafter referred to as pharmacist) who qualifies for the pharmaceutical professional technical role, and is taken as a medication certificate of the patients.
In one example, the prescription may include three parts:
(1) Prescriptions including hospital scales, subjects, patient names, gender, age, date, etc. Items of special requirements may be added. The narcotic drug and first class psychotropic drug prescriptions should also include patient identification numbers, agent names, identification numbers.
(2) Prescription party, prescription party prescription starts with "R" or "RP" meaning taking the following drugs; the main part of the prescription is next, including the name, dosage form, specification, quantity, usage, etc. of the drug.
(3) Post-prescription notes, including doctor, pharmacy staff, valuator signature to show responsibility, the signature must be signed.
In addition, the prescription may include the finished product medicine or the semi-finished product medicine.
And the user information at least comprises any one or all of gender information and age information of the user.
In this embodiment of the present disclosure, the two-dimensional code or the barcode may be an object code on the outer package of the drug or an electronic administration code of the drug. The medicine identifier is a unique identifier corresponding to the medicine, and can be a lot standard word corresponding to the medicine. Of course, the following description of the embodiments does not limit other scalable solutions based on the application. For example, in other implementation scenarios, the embodiment provided by the application can be applied to implementation scenarios of a method for implementing acquisition of detailed usage information of medicines through interaction with a user provided by a third party service platform, or form a site-specific device integrated with the first database, the second database, the third database, the fourth database, the fifth database and other relational databases.
Based on the above-mentioned device for acquiring the medicine detailed usage information, the embodiment of the present application executes the process of acquiring the medicine detailed usage information through the server device 101, and executes the acquisition of the prescription image and the two-dimensional code or the bar code of the medicine through the client device 102, and the receiving and displaying of the medicine detailed usage information. The prescription image is collected for the client device 102, and specifically includes two application scenes, namely the following scene one and scene two. The two-dimensional code or the bar code is scanned for the client device 102, and specifically includes two application scenes, namely the following scene three and scene four. The following describes the process of acquiring detailed drug usage information in scenes one to four by using the device for acquiring detailed drug usage information according to the embodiment of the present application.
Scene one
In order to achieve the purpose of obtaining the detailed usage information of the medicine, the embodiment provides a method for obtaining the detailed usage information of the medicine by applying the server device and the client device, which includes 10 processing steps S21 to S210, and the final server outputs and sends the first-level detailed usage information or the general medication instruction to the client device. Referring to fig. 2 and 3, the following are specifically included:
S21-prescription image acquisition: the server side equipment receives the prescription image acquired by the mobile terminal equipment through the image acquisition unit on the server side equipment.
S22-character recognition: and carrying out character recognition on the prescription image, and determining medicine information in the prescription according to the character recognition result. It will be appreciated that the method of text recognition of the prescription image may be implemented using OCR (Optical Character Recognition ) software: firstly, detecting and extracting a text region in an image, then, carrying out text correction by using methods such as Radon conversion or Hough conversion, then, dividing a picture of a text of a single line by using a projection histogram, and finally, carrying out character division on OCR of the single line (segmentation based method). The method of dividing the character may be based on the projection histogram extreme point as a candidate division point and searching for an optimal division point using a classifier.
It will be appreciated that the specific manner of determining the drug information in the prescription based on the results of the text recognition may be determined by way of database word matching. For example, the device for acquiring detailed usage information of the medicine applies a preset database for storing various medical words, and identifies the medical words and sentences from the identification result.
S23-judging the name of the medicine: judging whether the medicine information contains a medicine name or not; if yes, executing S24; if not, S29 is performed. It can be understood that the specific way of judging whether the drug information corresponding to the drug contains the drug name can be judged by using the way of matching the database words. For example, firstly, receiving medicine information, preprocessing the medicine information by using a format conversion mode to obtain a medicine information text field, then, using a preset database for storing various medicine names to identify the medicine names in the medicine information text field, if the medicine names can be identified, judging that the medicine information corresponding to the medicine contains the medicine names, and if the medicine names are not identified, judging that the medicine information corresponding to the medicine does not contain the medicine names. In addition, in another example, the database for storing names of various medicines may be replaced with the second database.
S24, judging medicine usage information: and further judging whether the medicine information contains medicine usage information of the medicine, if so, executing the step S25, otherwise, executing the step S27. It can be understood that the specific way of determining whether the drug information corresponding to the drug includes drug usage information may be determined by using a way of matching database words. For example, firstly, receiving medicine information, preprocessing the medicine information by using a format conversion mode to obtain a medicine information text field, then, using a preset database for storing various medical use words and sentences to identify the medicine information text field, if the medical use words and sentences can be identified, judging that the medicine information corresponding to the medicine contains the medicine use information, and if the medical use words and sentences are not identified, judging that the medicine information corresponding to the medicine does not contain the medicine use information. In addition, in another example, the database for storing words and sentences of various medical use may be replaced with the first database.
S25, extracting key words and sentences by using: extracting usage key words and sentences from the medicine usage information: the medicine detailed usage information acquisition device extracts medicine usage words and sentences from the medicine usage information, and matches the medicine usage words and sentences with usage key words and sentences prestored in a first database, wherein the first database stores corresponding relations between the usage key words and sentences and primary detailed usage information. The usage key sentences, the first-level detailed usage information and the corresponding relations between the usage key sentences and the first-level detailed usage information in the first database can be obtained according to medical usage and medicine usage historical data.
It can be understood that the extraction method keyword sentence mode can be at least one of a natural language processing TF-IDF keyword extraction method, a Topic-model keyword extraction method, and a RAKE keyword extraction method, where the TF-IDF keyword extraction method is described as follows: TF in the method of TF-IDF extracting keywords is used to measure the frequency of occurrence of a word in a document, i.e., tf= (the number of occurrences of the word in the document)/(the total number of words in the drug information), idf=log (the number of documents in the corpus reviewed/(the number of documents containing the word+1)), and TF-idf=tf is the IDF, wherein the larger the TF-IDF value is, the larger the probability that the word becomes a keyword is.
Besides extracting the usage keywords from the medicine usage information by using the keyword extraction method, the database for storing various medical usage keywords can be used, word recognition can be performed on word segments corresponding to the medicine usage information, each recognized word is sequentially searched in the medical usage dictionary database, and if a matching item is searched, the word is judged to be the usage keyword corresponding to the current medicine information.
S26-first database retrieval: and searching in a preset first database according to the usage keywords and sentences to obtain first-level detailed usage information corresponding to the usage keywords and sentences, wherein the first database stores the corresponding relation between the usage keywords and the first-level detailed usage information. And outputting the primary detailed usage information, namely, sending the primary detailed usage information to mobile terminal equipment of a user, so that the primary detailed usage information is displayed on the mobile terminal equipment.
It may be understood that the correspondence between the drug usage words and sentences stored in the first database and the first-level detailed usage information may be a one-to-one correspondence, or may be set to be a non-unique correspondence according to an actual application situation, for example, see table 2, if the drug usage words and sentences in the first database are respectively: "Water decoction" A1, "decoction" A2, "double decoction" A3, "double decoction" A4, "morning and evening administration" A5 and "twice daily administration" A6; the first-level detailed usage information includes 400ml of water, 20-30 minutes of decoction time B1 respectively corresponding to A1 and A2 after boiling with strong fire (strong fire and big fire), 20-30 minutes of first-time decoction, 10-20 minutes of second-time decoction, B2 respectively corresponding to A3 and A4, and B3 respectively corresponding to A5 and A6 after breakfast and evening.
TABLE 2
S27, extracting medicine names: and if the medicine information does not contain the medicine usage information, extracting a medicine name from the medicine information. It can be understood that, since it is currently determined that the drug information includes a drug name, when the drug information does not include drug usage information, the drug name is extracted from the drug information, and the method of extracting the drug name may specifically be determined by using a database word matching method. For example, the server applies a preset database for storing medicine names, and identifies the medicine name keyword in the medicine information text field to obtain the medicine name in the medicine information. In addition, in another example, the database for storing the names of the medicines may be replaced with the second database.
S28-second database retrieval: and searching in a preset second database according to the medicine name, and determining first-level detailed usage information corresponding to the medicine name, wherein the second database stores the corresponding relation between the medicine name and the first-level detailed usage information. And outputting the primary detailed usage information, namely, sending the primary detailed usage information to mobile terminal equipment of a user, so that the primary detailed usage information is displayed on the mobile terminal equipment.
It may be understood that the correspondence between the drug names stored in the second database and the first-level detailed usage information may be a one-to-one correspondence, or may be set to be a non-unique correspondence according to the actual application situation, for example, referring to table 3, if the drug names in the second database are respectively: "aluminum magnesium carbonate" C1, "aluminum magnesium carbonate" and "magnesium stearate" C2, "bacillus subtilis bigeminal living bacteria" C3 and "compound four-dimensional ferrous powder" C4; then "3 times per day" A7 in the first-level detailed usage information corresponds to C1 and C2, respectively, "oral" A8 and "1-2 times per day" A9 each correspond to C3, and "1-2 times per day" A9 also corresponds to C4.
TABLE 3 Table 3
S29, diagnosis and user information acquisition: and if the medicine information does not contain the medicine usage information, determining diagnosis result words and sentences and user keywords in the prescription according to the text recognition result.
S210-fourth database retrieval: and searching in a fourth preset database according to the user keywords and the diagnosis result words and sentences, and determining the general medication instructions corresponding to the user keywords and the diagnosis result words and sentences, wherein the fourth database stores the corresponding relations among the user keywords, the diagnosis result words and sentences and the general medication instructions. And outputting the general medication instruction, namely sending the primary detailed usage information to mobile terminal equipment of a user, so that the primary detailed usage information is displayed on the mobile terminal equipment. It may be understood that the correspondence between the user keywords, the diagnosis result words and sentences and the general medication description stored in the fourth database may be a one-to-one correspondence, or may be set to be a non-unique correspondence according to the actual application situation, for example, see table 4, if the user keywords in the fourth database are respectively: the words and phrases of the diagnosis results corresponding to the terms "men, 20-35 years old", "women, 20-40 years old", "40-60 years old" and the terms "men, 20-35 years old" and "women, 20-40 years old" are "cold", and the corresponding general medication instructions are: "(1) general decocting method of traditional Chinese medicine semi-finished product: the exterior-syndrome-relieving traditional Chinese medicine or the heat-clearing medicine for treating cold is preferably prepared by using strong fire, short time and boiling time of l 0-20 minutes, and is taken while hot. (2) general administration method of finished medicine: taken after breakfast and after breakfast; the corresponding diagnosis result words and phrases of 'between 40 and 60 years old' are 'body deficiency', and the corresponding general medication instruction is as follows: "(1) general decocting method of traditional Chinese medicine semi-finished product: the nourishing traditional Chinese medicine for treating the body deficiency is preferably decocted for 3 times for 40-50 minutes, then decocted for 20-30 minutes and decocted for l 0-20 minutes. Minerals, horns, shells, crustaceans and tonic drugs which are not easy to decoct the effective components are usually decocted with slow fire for a long time, so that the effective components are fully dissolved. Frequent stirring is required in the above decocting process. (2) general administration method of finished medicine: taken after breakfast and after breakfast in evening.
TABLE 4 Table 4
(II) scene two
In order to further obtain the detailed degree of the medicine detailed usage information, the embodiment provides a method for obtaining the medicine detailed usage information by applying the server device and the client device, S41 to S43 are added on the basis of the first scene, 13 processing steps are added in total, and finally the server outputs and sends the first-level detailed usage information, the enhancement usage description or the second-level detailed usage information to the client device. Referring to fig. 4 and 5, the following are specifically included:
s41-user keyword extraction: and determining the user keywords in the prescription according to the text recognition result.
S42-third database retrieval: and after step S25 or S27, searching in a preset third database according to the user keywords and the medicine keywords, and obtaining the enhanced usage description of the medicine corresponding to the user keywords and the medicine keywords, wherein the third database stores the corresponding relation among the user keywords, the medicine keywords and the enhanced usage description, and the medicine keywords are the usage keywords and/or the medicine names of the medicine. Outputting the enhancement instruction, that is, transmitting the enhancement instruction to the mobile terminal device of the user, so that the enhancement instruction is displayed on the mobile terminal device.
It can be understood that the correspondence between the user keywords, the drug keywords and the enhancement usage instruction stored in the third database may be a one-to-one correspondence, or may be set as a non-unique correspondence according to an actual application situation. It will be appreciated that the enhanced usage instructions provide more accurate information based on the user information, and, either, the drug usage information or the drug name, than the first level detailed usage information. For example, referring to table 5, if it is known from the user information that the age group of the user belongs to the age group of children and the drug usage information is "taking the traditional Chinese medicine particles", the corresponding enhancement usage instruction may specifically be: taking 100ml of warm boiled water at 40 ℃ with the Chinese medicinal granules, uniformly stirring the Chinese medicinal granules, and adding white granulated sugar or sucrose; if the child has no allergic reaction to protein, proper milk can be added, and after the child drinks, a small amount of honey water or donkey-hide gelatin drink can be fed to the child.
TABLE 5
S43-second-level detailed usage information acquisition: and combining the first-level detailed usage information of the medicine with the enhancement usage instruction to obtain second-level detailed usage information of the medicine. And outputting the secondary detailed usage information, namely, sending the secondary detailed usage information to mobile terminal equipment of a user, so that the secondary detailed usage information is displayed on the mobile terminal equipment. It will be appreciated that the specific process of combining the first-level detailed usage information of the drug with the enhancement usage instructions may be: and directly attaching the enhancement usage description to the primary detailed usage information to form a new information segment which is the secondary detailed usage information.
(III) scene III
In order to further provide application universality and applicability of the medicine detailed usage information acquisition, the embodiment provides a mode of acquiring the medicine detailed usage information by applying the server device and the client device, and S61 to S66 are further added on the basis of the first scene, 6 processing steps are added in total, and finally, the server outputs and sends the first-level detailed usage information, the enhancement usage description or the second-level detailed usage information to the client device. Referring to fig. 6 and 7, the following are specifically included:
s61-medicine identification acquisition: and acquiring a two-dimensional code or a bar code of the medicine, and acquiring a medicine identifier of the medicine.
S62, medicine usage information acquisition: and acquiring medicine usage information of the medicine according to the medicine identifier of the medicine.
S63, extracting key words and sentences: and step S25, extracting usage keywords from the medicine usage information.
S64-first database retrieval: step S26 is the same, searching is carried out in a preset first database according to the usage keywords, and first-level detailed usage information corresponding to the usage keywords is obtained, wherein the first database stores the corresponding relation between the usage keywords and the first-level detailed usage information. And outputting the primary detailed usage information, namely, sending the primary detailed usage information to mobile terminal equipment of a user, so that the secondary detailed usage information is displayed on the mobile terminal equipment.
In one example, a user scans a drug electronic supervision code of donkey-hide gelatin and matches it to an approval document, and then obtains first-level detailed usage information: "1, milk is taken with water: pulverizing colla Corii Asini into fine powder, placing 3 g into a milk cup each time, stirring while adding to make colla Corii Asini powder fully dissolved in milk, and warm taking to obtain fragrant, sweet, soft and long-lasting aftertaste. 2. Puffing and eating: the donkey-hide gelatin puffing test is carried out by a microwave oven to obtain crisp, fragrant and delicious donkey-hide gelatin beads, the direct interface contains the donkey-hide gelatin beads, the pure fragrance is durable, the effect is satisfactory, and the method comprises the following steps: putting the clams powder on a carrying tray of a microwave oven uniformly to be about 0.5 cm thick, then scattering the donkey-hide gelatin blocks which are crushed into soybean sizes and are spaced by 0.5 cm on the clams powder, pressing a microwave start key, setting fire power to be 10 times, and timing for 3 minutes. 3. Stewed and taken. "
S65-fifth database retrieval: and searching in a fifth preset database according to the medicine identifier, and determining the enhancement instruction of the medicine corresponding to the medicine identifier, wherein the fifth database stores the corresponding relation between the medicine identifier and the enhancement instruction. And outputting the enhancement usage instruction, namely sending the enhancement usage instruction to the mobile terminal equipment of the user, so that the secondary detailed usage information is displayed on the mobile terminal equipment.
S66-second-level detailed usage information acquisition: and step S43, combining the first-level detailed usage information of the medicine with the enhancement usage instruction to obtain second-level detailed usage information of the medicine. And outputting the secondary detailed usage information, namely, sending the secondary detailed usage information to mobile terminal equipment of a user, so that the secondary detailed usage information is displayed on the mobile terminal equipment.
The application of the third scene can enable a user to view specific usage information, enhanced usage instructions or secondary detailed usage information in a medicine instruction book without looking at the specific usage information. The present application also provides a fourth scenario, in which a user who has already known the detailed usage of the medicine through the medicine package or the instruction manual can directly display the enhanced usage instruction of the medicine, and the enhanced usage instruction manual can directly obtain the enhanced usage instruction of the medicine, see fig. 8 and 9, and specifically includes two steps S81 and S82.
S81-medicine identification acquisition: in the same way as in step S61, a two-dimensional code or a bar code of the medicine is acquired, and a medicine identifier of the medicine is acquired.
S82-fifth database retrieval: step S65 is the same as step S65, and the drug identification is searched in a fifth preset database, so as to determine an enhancement instruction of the drug corresponding to the drug identification, where the fifth database stores the correspondence between the drug identification and the enhancement instruction.
For the terminal, referring to fig. 10, a method for acquiring detailed usage information of a drug is provided, which may include the following steps:
s101: and acquiring medicine usage information of the medicine.
S102: and extracting usage keywords from the medicine usage information.
S103: and acquiring first-level detailed usage information corresponding to the usage keywords and sentences based on a preset first database, wherein the first database stores the corresponding relation between the usage keywords and the first-level detailed usage information.
As can be seen from the above description, the method for acquiring detailed usage information of a drug provided by the embodiment of the method of the present application acquires the usage information of the drug; extracting usage keywords from the medicine usage information; based on a preset first database, first-level detailed usage information corresponding to the usage keywords and sentences is obtained, wherein the corresponding relation between the usage keywords and the first-level detailed usage information is stored in the first database, so that the reliability of the detailed usage information of the medicine can be effectively improved, the accurate detailed usage information of the medicine can be obtained by a user, the time cost of the user is effectively saved, and the user experience is improved.
In the software layer, there is also provided a device for acquiring detailed drug usage information, see fig. 11, which may include: a medicine usage information acquisition module 1201, a usage keyword sentence extraction module 1202 and a first database retrieval module 1203, wherein:
the medicine usage information obtaining module 1201 is configured to obtain medicine usage information of a medicine.
And a usage keyword sentence extraction module 1202, configured to extract usage keywords from the drug usage information.
The first database retrieving module 1203 is configured to obtain first-level detailed usage information corresponding to the usage keyword and sentence based on a preset first database, where a correspondence between the usage keyword and the first-level detailed usage information is stored in the first database.
The embodiment of the device for acquiring the medicine detailed usage information provided by the application can be particularly used for executing the processing flow of the embodiment of the method for acquiring the medicine detailed usage information in the embodiment, and the functions of the embodiment are not repeated herein, and can be referred to in the detailed description of the embodiment of the method.
As can be seen from the above description, the device for acquiring detailed usage information of medicines provided by the embodiment of the method of the present application acquires the usage information of medicines; extracting usage keywords from the medicine usage information; based on a preset first database, first-level detailed usage information corresponding to the usage keywords and sentences is obtained, wherein the corresponding relation between the usage keywords and the first-level detailed usage information is stored in the first database, so that the reliability of the detailed usage information of the medicine can be effectively improved, the accurate detailed usage information of the medicine can be obtained by a user, the time cost of the user is effectively saved, and the user experience is improved.
In one embodiment, the device for acquiring medicine detailed usage information further specifically includes:
the prescription image acquisition module is used for acquiring prescription images of prescriptions.
And the character recognition module is used for carrying out character recognition on the prescription image and determining medicine information in the prescription according to the character recognition result.
And the medicine name extraction module is used for extracting the medicine name from the medicine information if the medicine information does not contain the medicine usage information.
And the second database retrieval module is used for determining the first-level detailed usage information corresponding to the medicine name based on a preset second database, wherein the second database stores the corresponding relation between the medicine name and the first-level detailed usage information.
And the user keyword extraction module is used for determining the user keywords in the prescription according to the text recognition result.
And the third database retrieval module is used for acquiring the enhancement usage description of the medicine corresponding to the user keyword and the medicine keyword based on a preset third database, wherein the third database stores the corresponding relation among the user keyword, the medicine keyword and the enhancement usage description, and the medicine keyword is the usage keyword sentence and/or the medicine name of the medicine.
And the second-level detailed usage information acquisition module is used for combining the first-level detailed usage information of the medicine with the enhanced usage instruction to obtain the second-level detailed usage information of the medicine.
And the diagnosis and user information acquisition module is used for determining diagnosis result words and sentences and user keywords in the prescription according to the text recognition result if the medicine information does not contain the medicine usage information.
And the fourth database retrieval module is used for determining the general medication instruction corresponding to the user keyword and the diagnosis result word sentence based on a preset fourth database, wherein the fourth database stores the corresponding relation among the user keyword, the diagnosis result word sentence and the general medication instruction.
And the code scanning module is used for acquiring a two-dimensional code or a bar code of the medicine and acquiring a medicine identification of the medicine.
And the fifth database retrieval module is used for determining the enhancement usage instruction of the medicine corresponding to the medicine identifier based on a preset fifth database, wherein the fifth database stores the corresponding relation between the medicine identifier and the enhancement usage instruction.
Based on the foregoing description, the embodiment of the application further provides an electronic device, which includes a display screen, a processor, and a memory storing instructions executable by the processor. Fig. 12 is a schematic structural view of an embodiment of an electronic device provided in the present description. The display screen may include a touch screen, a liquid crystal display, a projection device, or the like, which displays information content. The electronic equipment types can comprise mobile terminals, special car insurance equipment, car machine interaction equipment, personal computers and the like. The processor, when executing the instructions, may implement:
S101: and acquiring medicine usage information of the medicine.
S102: and extracting usage keywords from the medicine usage information.
S103: and acquiring first-level detailed usage information corresponding to the usage keywords and sentences based on a preset first database, wherein the first database stores the corresponding relation between the usage keywords and the first-level detailed usage information.
As can be seen from the above description, the electronic device provided by the embodiment of the method of the present application obtains the drug usage information of the drug; extracting usage keywords from the medicine usage information; based on a preset first database, first-level detailed usage information corresponding to the usage keywords and sentences is obtained, wherein the corresponding relation between the usage keywords and the first-level detailed usage information is stored in the first database, so that the reliability of the detailed usage information of the medicine can be effectively improved, the accurate detailed usage information of the medicine can be obtained by a user, the time cost of the user is effectively saved, and the user experience is improved.
An embodiment of the present application also provides a computer-readable storage medium capable of realizing all steps in the method for acquiring medicine detailed usage information in the above embodiment, the computer-readable storage medium storing thereon a computer program which, when executed by a processor, realizes all steps in the method for acquiring medicine detailed usage information in the above embodiment, for example, the processor realizes the following steps when executing the computer program:
S101: and acquiring medicine usage information of the medicine.
S102: and extracting usage keywords from the medicine usage information.
S103: and acquiring first-level detailed usage information corresponding to the usage keywords and sentences based on a preset first database, wherein the first database stores the corresponding relation between the usage keywords and the first-level detailed usage information.
As can be seen from the above description, the computer readable storage medium provided by the method embodiments of the present application obtains the drug usage information of the drug; extracting usage keywords from the medicine usage information; based on a preset first database, first-level detailed usage information corresponding to the usage keywords and sentences is obtained, wherein the corresponding relation between the usage keywords and the first-level detailed usage information is stored in the first database, so that the reliability of the detailed usage information of the medicine can be effectively improved, the accurate detailed usage information of the medicine can be obtained by a user, the time cost of the user is effectively saved, and the user experience is improved.
The method embodiments provided by the embodiments of the present application may be performed in a mobile terminal, a computer terminal, a server, or similar computing device. Taking the operation on the server as an example, fig. 13 is a block diagram of a hardware structure of the server for implementing a method for acquiring detailed usage information of a medicine according to an embodiment of the present application. As shown in fig. 13, the server 10 may include one or more (only one is shown in the figure) processors 103 (the processors 103 may include, but are not limited to, a microprocessor MCU or a processing device such as a programmable logic device FPGA), a memory 104 for storing data, and a transmission module 106 for communication functions. It will be appreciated by those of ordinary skill in the art that the configuration shown in fig. 13 is merely illustrative and is not intended to limit the configuration of the electronic device described above. For example, the server 10 may also include more or fewer components than shown in fig. 13, for example, may also include other processing hardware, such as a GPU (Graphics Processing Unit, image processor), or have a different configuration than shown in fig. 13.
The memory 104 may be used for storing software programs and modules of application software, such as program instructions/modules corresponding to the examination method of the application passing rate in the embodiment of the present application, and the processor 103 executes the software programs and modules stored in the memory 104 to perform various functional applications and data processing, that is, to implement the examination method of the application passing rate. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further comprise memory located remotely from the processor 103, which may be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission module 106 is used to receive or transmit data via a network. The specific examples of the network described above may include a wireless network provided by a communication provider of the computer terminal 10. In one example, the transmission module 106 includes a network adapter (Network Interface Controller, NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission module 106 may be a Radio Frequency (RF) module for communicating with the internet wirelessly.
Although the application provides method operational steps as described in the examples or flowcharts, more or fewer operational steps may be included based on conventional or non-inventive labor. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When implemented by an actual device or client product, the instructions may be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment) as shown in the embodiments or figures.
The apparatus or module set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. For convenience of description, the above devices are described as being functionally divided into various modules, respectively. The functions of the various modules may be implemented in the same piece or pieces of software and/or hardware when implementing the present application. Of course, a module that implements a certain function may be implemented by a plurality of sub-modules or a combination of sub-units.
The methods, apparatus or modules described in the present application may be implemented in computer readable program code means and a controller may be implemented in any suitable manner, for example, the controller may take the form of a microprocessor or processor and a computer readable medium storing computer readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable logic controllers and embedded microcontrollers, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, atmel AT91SAM, microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic of the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller in a pure computer readable program code, it is well possible to implement the same functionality by logically programming the method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Such a controller can be regarded as a hardware component, and means for implementing various functions included therein can also be regarded as a structure within the hardware component. Or even means for achieving the various functions may be regarded as either software modules implementing the methods or structures within hardware components.
Some of the modules of the apparatus of the present application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, classes, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
From the above description of embodiments, it will be apparent to those skilled in the art that the present application may be implemented in software plus necessary hardware. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product or may be embodied in the implementation of data migration. The computer software product may be stored on a storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., comprising instructions for causing a computer device (which may be a personal computer, mobile terminal, server, or network device, etc.) to perform the methods described in the various embodiments or portions of the embodiments of the application.
Various embodiments in this specification are described in a progressive manner, and identical or similar parts are all provided for each embodiment, each embodiment focusing on differences from other embodiments. All or portions of the present application are operational with numerous general purpose or special purpose computer system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet devices, mobile communication terminals, multiprocessor systems, microprocessor-based systems, programmable electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
Although the present application has been described by way of examples, one of ordinary skill in the art appreciates that there are many variations and modifications that do not depart from the spirit of the application, and it is intended that the appended claims encompass such variations and modifications as fall within the spirit of the application.
Claims (18)
1. A method for acquiring detailed usage information of medicines comprises the following steps:
acquiring medicine usage information of medicines, wherein the medicine usage information comprises any part of or all of the contents of processing method information and taking method information of the medicines;
Extracting usage keywords from the medicine usage information;
and acquiring first-level detailed usage information corresponding to the usage keywords and sentences based on a preset first database, wherein the first database stores the corresponding relation between the usage keywords and the first-level detailed usage information.
2. The acquisition method according to claim 1, further comprising, before the acquisition of the medicine usage information of the medicine:
acquiring a prescription image of a prescription;
and carrying out character recognition on the prescription image, and determining medicine information in the prescription according to the character recognition result.
3. The acquisition method according to claim 2, further comprising:
if the medicine information does not contain the medicine usage information, extracting a medicine name from the medicine information;
and determining the first-level detailed usage information corresponding to the medicine name based on a preset second database, wherein the second database stores the corresponding relation between the medicine name and the first-level detailed usage information.
4. The acquisition method according to claim 3, further comprising:
determining user keywords in the prescription according to the text recognition result;
And acquiring the enhancement usage description of the medicine corresponding to the user keyword and the medicine keyword based on a preset third database, wherein the third database stores the corresponding relation among the user keyword, the medicine keyword and the enhancement usage description, and the medicine keyword is the usage keyword sentence and/or the medicine name of the medicine.
5. The acquisition method according to claim 4, further comprising:
and combining the first-level detailed usage information of the medicine with the enhancement usage instruction to obtain second-level detailed usage information of the medicine.
6. The acquisition method according to claim 2, further comprising:
if the medicine information does not contain the medicine usage information, determining diagnosis result words and sentences and user keywords in the prescription according to the text recognition result;
and determining the general medication instruction corresponding to the user keyword and the diagnosis result word and sentence based on a preset fourth database, wherein the fourth database stores the corresponding relation among the user keyword, the diagnosis result word and sentence and the general medication instruction.
7. The acquisition method according to claim 1, further comprising:
Acquiring a two-dimensional code or a bar code of a medicine, and acquiring a medicine identification of the medicine;
and determining an enhancement usage instruction of the medicine corresponding to the medicine identifier based on a preset fifth database, wherein the fifth database stores the corresponding relation between the medicine identifier and the enhancement usage instruction.
8. The acquisition method according to claim 1, 3 or 6, wherein the drug usage information includes processing method information and/or administration method information of a drug.
9. An apparatus for acquiring detailed drug usage information, comprising:
the medicine usage information acquisition module is used for acquiring medicine usage information of medicines, wherein the medicine usage information can comprise any part of or all of the contents of processing method information and taking method information of the medicines;
the usage keyword sentence extraction module is used for extracting usage keyword sentences from the medicine usage information;
the first database retrieval module is used for acquiring first-level detailed usage information corresponding to the usage keywords and sentences based on a preset first database, wherein the first database stores the corresponding relation between the usage keywords and the first-level detailed usage information.
10. The acquisition device of claim 9, further comprising:
the prescription image acquisition module is used for acquiring prescription images of prescriptions;
and the character recognition module is used for carrying out character recognition on the prescription image and determining medicine information in the prescription according to the character recognition result.
11. The acquisition device of claim 10, further comprising:
the medicine name extraction module is used for extracting a medicine name from the medicine information if the medicine information does not contain the medicine usage information;
and the second database retrieval module is used for determining the first-level detailed usage information corresponding to the medicine name based on a preset second database, wherein the second database stores the corresponding relation between the medicine name and the first-level detailed usage information.
12. The acquisition device of claim 11, further comprising:
the user keyword extraction module is used for determining user keywords in the prescription according to the text recognition result;
and the third database retrieval module is used for acquiring the enhancement usage description of the medicine corresponding to the user keyword and the medicine keyword based on a preset third database, wherein the third database stores the corresponding relation among the user keyword, the medicine keyword and the enhancement usage description, and the medicine keyword is the usage keyword sentence and/or the medicine name of the medicine.
13. The acquisition device of claim 12, further comprising:
and the second-level detailed usage information acquisition module is used for combining the first-level detailed usage information of the medicine with the enhanced usage instruction to obtain the second-level detailed usage information of the medicine.
14. The acquisition device of claim 10, further comprising:
the diagnosis and user information acquisition module is used for determining diagnosis result words and sentences and user keywords in the prescription according to the text recognition result if the medicine information does not contain the medicine usage information;
and the fourth database retrieval module is used for determining the general medication instruction corresponding to the user keyword and the diagnosis result word sentence based on a preset fourth database, wherein the fourth database stores the corresponding relation among the user keyword, the diagnosis result word sentence and the general medication instruction.
15. The acquisition device of claim 9, further comprising:
the code scanning module is used for acquiring a two-dimensional code or a bar code of the medicine and acquiring a medicine identification of the medicine;
and the fifth database retrieval module is used for determining the enhancement usage instruction of the medicine corresponding to the medicine identifier based on a preset fifth database, wherein the fifth database stores the corresponding relation between the medicine identifier and the enhancement usage instruction.
16. The acquisition device according to claim 9, 11 or 14, wherein the medicine usage information includes processing method information and/or administration method information of a medicine.
17. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of obtaining drug detail usage information of any one of claims 1 to 8 when the program is executed.
18. A computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method of acquiring drug detail usage information according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811013160.4A CN110874359B (en) | 2018-08-31 | 2018-08-31 | Method and device for acquiring detailed medicine usage information |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811013160.4A CN110874359B (en) | 2018-08-31 | 2018-08-31 | Method and device for acquiring detailed medicine usage information |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110874359A CN110874359A (en) | 2020-03-10 |
| CN110874359B true CN110874359B (en) | 2023-09-08 |
Family
ID=69715421
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811013160.4A Active CN110874359B (en) | 2018-08-31 | 2018-08-31 | Method and device for acquiring detailed medicine usage information |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110874359B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113409909A (en) * | 2020-03-16 | 2021-09-17 | 阿里健康信息技术有限公司 | Identification article, information interaction method and terminal equipment |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010073079A (en) * | 2008-09-22 | 2010-04-02 | Bms:Kk | Pharmaceutical product information providing system |
| CN101877036A (en) * | 2009-04-30 | 2010-11-03 | 索尼公司 | Medicine information treating apparatus and medicine information disposal route |
| CN104598740A (en) * | 2015-01-26 | 2015-05-06 | 曹庆恒 | Method, system and equipment for intelligent medication guidance |
| CN204390285U (en) * | 2014-12-11 | 2015-06-10 | 江苏迅捷装具科技有限公司 | A kind of Quick Response Code scan-type medicine management system |
| CN106296347A (en) * | 2016-08-03 | 2017-01-04 | 苏州浩悦商业管理有限公司 | A kind of E-commerce transaction platform |
| CN106446541A (en) * | 2016-09-21 | 2017-02-22 | 李小波 | Medicine taking explanation retrieving and automatically generating system |
| CN106651393A (en) * | 2016-12-19 | 2017-05-10 | 广东技术师范学院 | Drug appearance identification-based drug guiding method and system |
| CN106821761A (en) * | 2015-12-04 | 2017-06-13 | 北大医疗信息技术有限公司 | Dosing prompt method and prompting apparatus used for taking medicine |
| CN107169281A (en) * | 2017-05-11 | 2017-09-15 | 杭州逸曜信息技术有限公司 | Adverse drug reaction information acquisition method |
| CN107180156A (en) * | 2017-05-11 | 2017-09-19 | 杭州逸曜信息技术有限公司 | Medication information processing method |
| CN107292112A (en) * | 2017-06-29 | 2017-10-24 | 深圳透云物联网科技有限公司 | A kind of patient compliance instruction method, system and computer-processing equipment |
| CN107332882A (en) * | 2017-06-08 | 2017-11-07 | 华中科技大学 | A kind of safe medication system for prompting and method |
| CN107402949A (en) * | 2017-04-28 | 2017-11-28 | 西安电子科技大学 | A kind of medicine video specification book and specification generation method |
| CN107885888A (en) * | 2017-12-11 | 2018-04-06 | 北京百度网讯科技有限公司 | Information processing method and device, terminal device and computer-readable recording medium |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070173971A1 (en) * | 2006-01-26 | 2007-07-26 | Prairiestone Pharmacy, Llc | System and method of providing medication compliance packaging |
| US20160357919A1 (en) * | 2011-04-29 | 2016-12-08 | Humana Inc. | Centralized formulary system and method |
| CA2873902A1 (en) * | 2012-05-18 | 2013-11-21 | Georgetown University | Methods and systems for populating and searching a drug informatics database |
| US20150248527A1 (en) * | 2014-03-03 | 2015-09-03 | International Business Machines Corporation | Prompting medication safety technology |
-
2018
- 2018-08-31 CN CN201811013160.4A patent/CN110874359B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010073079A (en) * | 2008-09-22 | 2010-04-02 | Bms:Kk | Pharmaceutical product information providing system |
| CN101877036A (en) * | 2009-04-30 | 2010-11-03 | 索尼公司 | Medicine information treating apparatus and medicine information disposal route |
| CN204390285U (en) * | 2014-12-11 | 2015-06-10 | 江苏迅捷装具科技有限公司 | A kind of Quick Response Code scan-type medicine management system |
| CN104598740A (en) * | 2015-01-26 | 2015-05-06 | 曹庆恒 | Method, system and equipment for intelligent medication guidance |
| CN106821761A (en) * | 2015-12-04 | 2017-06-13 | 北大医疗信息技术有限公司 | Dosing prompt method and prompting apparatus used for taking medicine |
| CN106296347A (en) * | 2016-08-03 | 2017-01-04 | 苏州浩悦商业管理有限公司 | A kind of E-commerce transaction platform |
| CN106446541A (en) * | 2016-09-21 | 2017-02-22 | 李小波 | Medicine taking explanation retrieving and automatically generating system |
| CN106651393A (en) * | 2016-12-19 | 2017-05-10 | 广东技术师范学院 | Drug appearance identification-based drug guiding method and system |
| CN107402949A (en) * | 2017-04-28 | 2017-11-28 | 西安电子科技大学 | A kind of medicine video specification book and specification generation method |
| CN107169281A (en) * | 2017-05-11 | 2017-09-15 | 杭州逸曜信息技术有限公司 | Adverse drug reaction information acquisition method |
| CN107180156A (en) * | 2017-05-11 | 2017-09-19 | 杭州逸曜信息技术有限公司 | Medication information processing method |
| CN107332882A (en) * | 2017-06-08 | 2017-11-07 | 华中科技大学 | A kind of safe medication system for prompting and method |
| CN107292112A (en) * | 2017-06-29 | 2017-10-24 | 深圳透云物联网科技有限公司 | A kind of patient compliance instruction method, system and computer-processing equipment |
| CN107885888A (en) * | 2017-12-11 | 2018-04-06 | 北京百度网讯科技有限公司 | Information processing method and device, terminal device and computer-readable recording medium |
Non-Patent Citations (1)
| Title |
|---|
| "我国药品说明书老年用药标示情况研究";张雅婷等;《中国药物评价》;第33卷(第05期);第440-442页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110874359A (en) | 2020-03-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Sim et al. | The use, perceived effectiveness and safety of herbal galactagogues during breastfeeding: a qualitative study | |
| Carter et al. | Effect of intermittent compared with continuous energy restricted diet on glycemic control in patients with type 2 diabetes: a randomized noninferiority trial | |
| Dunn et al. | On orthorexia nervosa: A review of the literature and proposed diagnostic criteria | |
| Sowers et al. | Elevated parathyroid hormone-related peptide associated with lactation and bone density loss | |
| Barnes et al. | Complementary medicine products used in pregnancy and lactation and an examination of the information sources accessed pertaining to maternal health literacy: a systematic review of qualitative studies | |
| Paunio et al. | Measles history and atopic diseases: a population-based cross-sectional study | |
| De Pee et al. | Role of nutrition in HIV infection: review of evidence for more effective programming in resource-limited settings | |
| Gözüm et al. | Complementary alternative treatments used by patients with cancer in eastern Turkey | |
| Frerichs et al. | Framing breastfeeding and formula-feeding messages in popular US magazines | |
| Sharma et al. | Biotin-induced biochemical Graves disease: a teachable moment | |
| Møen et al. | Effect of an intervention in general practice to increase the participation of immigrants in cervical cancer screening: a cluster randomized clinical trial | |
| Moeil Tabaghdehi et al. | Designing a minimum data set for major thalassemia patients: Towards electronic personal health record | |
| Grimsrud et al. | The case for family-centered differentiated service delivery for HIV | |
| CN110874359B (en) | Method and device for acquiring detailed medicine usage information | |
| Punzalan et al. | Swallowing problems and dietary supplements: data from US Food and drug administration adverse event reports, 2006–2015 | |
| He et al. | Meddialog: Two large-scale medical dialogue datasets | |
| Meyer et al. | 20: Maternal diet structures the breast milk microbiome in association with human milk oligosaccharides and gut-associated bacteria | |
| Dechartres et al. | Characteristics and public availability of results of clinical trials on rare diseases registered at clinicaltrials. gov | |
| Sumankuuro et al. | Women's motivation and associated factors for herbal medicine use during pregnancy and childbirth: a systematic review | |
| JP6323925B1 (en) | Receipt data analysis device, method and program | |
| Balkam | Galactagogues and Lactation: Considerations for Counseling Breastfeeding Mothers | |
| JP2003223510A (en) | Taking medicine instructions and system for creating taking medicine instructions | |
| WO2020235028A1 (en) | Health information management system, mobile terminal device, health information management method, and health information management program for mobile terminal device | |
| Meier zu Biesen et al. | Bridging gaps in health care and healing: Traditional medicine and the biomedical health care sector in Zanzibar | |
| Wang et al. | Less than one-fifth of people aged 75 years or older in the real world were suitable for SPRINT results |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |