CN111166675A - Medication reminding method and medication reminding device - Google Patents
Medication reminding method and medication reminding device Download PDFInfo
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- CN111166675A CN111166675A CN201911399872.9A CN201911399872A CN111166675A CN 111166675 A CN111166675 A CN 111166675A CN 201911399872 A CN201911399872 A CN 201911399872A CN 111166675 A CN111166675 A CN 111166675A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61J—CONTAINERS SPECIALLY ADAPTED FOR MEDICAL OR PHARMACEUTICAL PURPOSES; DEVICES OR METHODS SPECIALLY ADAPTED FOR BRINGING PHARMACEUTICAL PRODUCTS INTO PARTICULAR PHYSICAL OR ADMINISTERING FORMS; DEVICES FOR ADMINISTERING FOOD OR MEDICINES ORALLY; BABY COMFORTERS; DEVICES FOR RECEIVING SPITTLE
- A61J7/00—Devices for administering medicines orally, e.g. spoons; Pill counting devices; Arrangements for time indication or reminder for taking medicine
- A61J7/04—Arrangements for time indication or reminder for taking medicine, e.g. programmed dispensers
- A61J7/0409—Arrangements for time indication or reminder for taking medicine, e.g. programmed dispensers with timers
- A61J7/0481—Arrangements for time indication or reminder for taking medicine, e.g. programmed dispensers with timers working on a schedule basis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61J—CONTAINERS SPECIALLY ADAPTED FOR MEDICAL OR PHARMACEUTICAL PURPOSES; DEVICES OR METHODS SPECIALLY ADAPTED FOR BRINGING PHARMACEUTICAL PRODUCTS INTO PARTICULAR PHYSICAL OR ADMINISTERING FORMS; DEVICES FOR ADMINISTERING FOOD OR MEDICINES ORALLY; BABY COMFORTERS; DEVICES FOR RECEIVING SPITTLE
- A61J7/00—Devices for administering medicines orally, e.g. spoons; Pill counting devices; Arrangements for time indication or reminder for taking medicine
- A61J7/04—Arrangements for time indication or reminder for taking medicine, e.g. programmed dispensers
- A61J7/0409—Arrangements for time indication or reminder for taking medicine, e.g. programmed dispensers with timers
- A61J7/0418—Arrangements for time indication or reminder for taking medicine, e.g. programmed dispensers with timers with electronic history memory
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61J—CONTAINERS SPECIALLY ADAPTED FOR MEDICAL OR PHARMACEUTICAL PURPOSES; DEVICES OR METHODS SPECIALLY ADAPTED FOR BRINGING PHARMACEUTICAL PRODUCTS INTO PARTICULAR PHYSICAL OR ADMINISTERING FORMS; DEVICES FOR ADMINISTERING FOOD OR MEDICINES ORALLY; BABY COMFORTERS; DEVICES FOR RECEIVING SPITTLE
- A61J7/00—Devices for administering medicines orally, e.g. spoons; Pill counting devices; Arrangements for time indication or reminder for taking medicine
- A61J7/04—Arrangements for time indication or reminder for taking medicine, e.g. programmed dispensers
- A61J7/0409—Arrangements for time indication or reminder for taking medicine, e.g. programmed dispensers with timers
- A61J7/0454—Arrangements for time indication or reminder for taking medicine, e.g. programmed dispensers with timers for dispensing of multiple drugs
Abstract
The embodiment of the invention provides a medication reminding method and a medication reminding device, and belongs to the technical field of medical artificial intelligence. The method comprises the following steps: acquiring medication information data of a user, wherein the medication information data comprises a medicine name, a dosage and medication times of a corresponding medicine; generating medication reminding data according to the medication information data and a medication knowledge map established in advance, wherein the medication reminding data comprises medication time, medicine name and medicine dosage of each time of medication; and sending medication reminding data to the user side according to the medication time. According to the technical scheme, the medicine taking reminding data comprising the medicine taking time, the medicine name and the medicine amount are generated and sent to the user side by acquiring the medicine taking information data of the user based on the medicine taking knowledge map, so that the user does not need to sort the medicines in advance, the problem that the user forgets the medicine taking time and misses the medicine taking is solved, the medicine dispensing efficiency of the user is effectively improved, and the medicine taking reminding effect of the user is improved.
Description
Technical Field
The invention relates to the technical field of medical artificial intelligence, in particular to a medication reminding method and a medication reminding device.
Background
The warning system of using medicine that uses on the existing market is mostly the hardware devices that regularly reminds, and common form is an electron powder charge box and a timer with this electron powder charge box electric connection, and electron powder charge box includes a plurality of medicine check of mutual interval and the pilot lamp that corresponds with each medicine check, timer and each pilot lamp electric connection, and when the time of using medicine, the pilot lamp scintillation through timer control reminds the patient to use medicine. At present, the market also has some mobile phone APP programs with timing reminding functions for setting medication time, which is similar to the function of an alarm clock and reminds patients of taking medicine at an arrival point.
The electronic reminding medication device and the mobile phone APP program in the current market have the following disadvantages:
the structure is complex, the setting steps are complex, the medicines need to be sorted in advance, the patient is easy to forget to carry, and the flexibility is lacked;
the existing electronic reminding medicine taking device and the mobile phone APP program cannot intelligently generate medicine taking information for a user, the user is required to take medicine by manually contrasting a medicine taking prescription after being reminded, the relation between medicine and diet opportunity and sleep is not considered, the reminding effect is poor, and the user can easily take medicine mechanically according to preset time, so that the medicine taking device is separated from the practice of medicine taking science.
Disclosure of Invention
The embodiment of the invention aims to automatically generate medication reminding data according to medication information data and a medication knowledge map of a user and push the medication reminding data to a user side by pre-establishing the medication knowledge map so as to solve the problem of poor reminding effect of the existing reminding device or APP.
In order to achieve the above object, in a first aspect of the present invention, there is provided a medication reminding method, including:
acquiring medication information data of a user, wherein the medication information data comprises a medicine name, a dosage and medication times of a corresponding medicine;
generating medication reminding data according to the medication information data and a medication knowledge map established in advance, wherein the medication reminding data comprises medication time, medicine name and medicine dosage of each medication;
and sending the medication reminding data to a user side according to the medication time.
Optionally, after the medication reminding data is sent to the user side according to the medication time, the method further includes:
receiving medication confirmation information fed back by a user side;
generating and storing medication record data according to the medication confirmation information, wherein the medication record data comprises the actual medication time or the missed medication record of the user;
wherein the actual medication time is the time when the medication confirmation information is received;
the missing record is as follows: and if the medication confirmation information fed back by the user side is not received within the preset time, the sent medication reminding data is marked as missed medication.
Optionally, the generating medication reminding data according to the medication information data and a medication knowledge graph established in advance includes:
identifying an entity to be processed included in the medication information data;
identifying target entity data corresponding to the entity to be processed in the medication knowledge graph;
and generating the medication reminding data according to the target entity data.
Optionally, the medication knowledge graph characterizes different dimensional information of the drug in the form of a structured graph, the different dimensional information of the drug including at least one of:
interaction between any two medicines, taking interval time of the medicines, first basic medication time representing the relationship between the taking time of the medicines and the time before and after eating and second basic medication time representing the relationship between the medicines and sleep;
each target entity data comprises one dimension information of the medicine corresponding to the target entity data.
Optionally, the medication time is generated by:
acquiring diet time data preset by a user, and determining medication time offset according to the diet time data;
acquiring a first basic medication time corresponding to the entity to be processed from target entity data corresponding to the entity to be processed;
acquiring sleep time data preset by a user;
acquiring a second basic medication time corresponding to the entity to be processed from target entity data corresponding to the entity to be processed;
and generating the medication time according to the diet time data, the medication time offset, the first basic medication time, the sleep time data and the second basic medication time.
In a second aspect of the present invention, there is provided a medication reminding device comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring medication information data of a user, and the medication information data comprises medicine names, dosage and medication times of corresponding medicines;
the processing module is used for generating medication reminding data according to the medication information data and a medication knowledge map which is established in advance, wherein the medication reminding data comprises medication time, a medicine name and medicine dosage of each medication;
and the sending module is used for sending the medication reminding data to the user side according to the medication time.
Optionally, the medication reminding device further comprises:
the recording module is used for receiving the medication confirmation information fed back by the user side, generating and storing medication record data according to the medication confirmation information, wherein the medication record data comprises the actual medication time or the missed medication record of the user;
wherein the actual medication time is the time when the medication confirmation information is received;
the missing record is as follows: and if the medication confirmation information fed back by the user side is not received within the preset time, the sent medication reminding data is marked as missed medication.
Optionally, the generating medication reminding data according to the medication information data and a medication knowledge graph established in advance includes:
identifying an entity to be processed included in the medication information data;
identifying target entity data corresponding to the entity to be processed in the medication knowledge graph;
and generating the medication reminding data according to the target entity data.
Optionally, the medication knowledge graph characterizes different dimensional information of the drug in the form of a structured graph, the different dimensional information of the drug including at least one of:
interaction between any two medicines, taking interval time of the medicines, first basic medication time representing the relationship between the taking time of the medicines and the time before and after eating and second basic medication time representing the relationship between the medicines and sleep;
each target entity data comprises one dimension information of the medicine corresponding to the target entity data.
Optionally, the medication time is generated by:
acquiring diet time data preset by a user, and determining medication time offset according to the diet time data;
acquiring a first basic medication time corresponding to the entity to be processed from target entity data corresponding to the entity to be processed;
acquiring sleep time data preset by a user;
acquiring a second basic medication time corresponding to the entity to be processed from target entity data corresponding to the entity to be processed;
and generating the medication time according to the diet time data, the medication time offset, the first basic medication time, the sleep time data and the second basic medication time.
According to the technical scheme, the medicine taking information data of the user are acquired, the medicine taking reminding data corresponding to the medicine taking time, the medicine name and the medicine using amount are generated by utilizing the knowledge data in the medicine taking knowledge map according to the preset medicine taking knowledge map, and the medicine taking reminding data are sent to the user side according to the medicine taking time to remind the user of taking the medicine, so that the user can intuitively acquire the medicine and the using amount which are required to be taken at present, the user does not need to pre-configure the medicine and the using amount which are taken each time or manually dispense the medicine according to the prescription every time the reminding is received, the medicine dispensing efficiency of the user is effectively improved, and the medicine taking reminding effect of the user is improved.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
FIG. 1 is a flowchart of a method for providing medication reminding in accordance with an alternative embodiment of the present invention;
FIG. 2 is a block diagram of a system architecture for a medication reminder method according to an alternative embodiment of the present invention;
fig. 3 is a schematic diagram of an application example of an alternative embodiment of the present invention applied to a mobile terminal APP end;
fig. 4 is a block diagram of a medication reminding device according to an alternative embodiment of the present invention.
Description of the reference numerals
110-acquisition module, 120-processing module, 130-sending module, 140-recording module.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
In the embodiments of the present invention, unless otherwise specified, the use of directional terms such as "upper, lower, top, and bottom" is generally used with respect to the orientation shown in the drawings or the positional relationship of the components with respect to each other in the vertical, or gravitational direction.
In order to achieve the above object, as shown in fig. 1, an embodiment of the present invention provides a medication reminding method, including:
s100, acquiring medication information data of a user, wherein the medication information data comprises medicine names, dosage and medication times of corresponding medicines;
s200, generating medication reminding data according to the medication information data and a medication knowledge map which is established in advance, wherein the medication reminding data comprises medication time, a medicine name and medicine dosage of each medication;
s300, sending medication reminding data to the user side according to the medication time.
Therefore, the embodiment of the invention generates the medication reminding data comprising the corresponding medication time, the medicine name and the medicine dosage by acquiring the medication information data of the user and utilizing the knowledge data in the medication knowledge map according to the medication knowledge map established in advance, and sends the medication reminding data to the user side according to the medication time to remind the user to take the medicine, so that the user can intuitively acquire the medicine and the dosage which should be taken currently, the user does not need to configure the medicine and the dosage for each medication in advance or manually dispense the medicine according to the prescription every time the user receives the reminding, the medicine dispensing efficiency of the user is effectively improved, and the medicine taking reminding effect of the user is improved.
Specifically, the present embodiment constructs the knowledge graph by a server, which is referred to as a knowledge graph server hereinafter. The knowledge graph server extracts relevant data of the medicine from network resources through technical means such as network crawlers or manual addition, different entity data of the medicine are established, each entity data comprises relevant information of the medicine corresponding to the entity, all medicine information is fused through establishing different entity data of different medicines, knowledge units of different sources, different types and different structures relevant to the medicine are linked and associated into a graph, and knowledge data relevant to the medicine are systematized and related, so that the medicine-using knowledge graph is established.
As shown in fig. 2, the embodiment is described below by taking an example of applying the embodiment to a mobile terminal APP end, in the embodiment, a management platform is built based on a cloud server, and the cloud server is in communication connection with a knowledge graph server, so that the management platform can access knowledge data in a medicine knowledge graph through the knowledge graph server. The user accesses the management platform through the APP installed on the mobile terminal, wherein the mobile terminal can be a smart phone, a tablet computer or a notebook computer. The user uploads the medication scheme to the management platform in advance through the APP, so that the management platform can generate medication reminding data according to the medication scheme uploaded by the user. For example, a user can upload a medication prescription prescribed by a doctor through APP photographing, and the cloud server extracts medication information data such as a medicine name, a dosage and medication times in prescription information from the medication prescription photographed by the user through a natural language processing technology; or the medicine information data such as the medicine name, the dosage and the medicine taking times in the prescription information are manually input on a human-computer interaction interface provided by the APP, as shown in fig. 3, after the user uploads the medicine prescription photo, the management platform identifies that the medicine prescription contains the kallidinogenase enteric-coated tablet through the natural language processing technology, and identifies and extracts the related characteristic data: the medicine taking information data of the kallidinogenase enteric-coated tablet is obtained through oral administration for 2 tablets per time and 3 times per 1 day, the kallidinogenase enteric-coated tablet, 2 tablets per time and 3 times per 1 day is obtained, the medicine taking information data of the kallidinogenase enteric-coated tablet is displayed through a user side APP, the medicine taking information data of all medicines in a medicine taking prescription uploaded by a user is obtained, all the obtained medicine taking information data are displayed through the user side APP to be displayed to the user, and the user can check the medicine taking information data. If the user needs to modify the medication information data of the kallidinogenase enteric-coated tablet or needs to add new medication information data, corresponding operation can be carried out through a modification control or an addition control provided by the user side APP. After acquiring the medication information data uploaded by the user, the management platform queries knowledge data related to the corresponding medicine in the identified medication information data in the medication knowledge map, and generates medication reminding data according to the acquired knowledge data and the medication information data. The medication knowledge map stores information related to all medicines in the form of entity data, each medicine corresponds to a plurality of pieces of entity data, and each piece of entity data comprises one piece of related information corresponding to the medicine. For example, related entity data representing that the kallidinogenase enteric-coated tablet and the protease inhibitor cannot be used simultaneously is acquired through a medication knowledge map, the management platform judges whether the acquired medication information data comprises medicines of protease inhibitors, if yes, the administration time of the protease inhibitors and the kallidinogenase enteric-coated tablet is intelligently separated when medication reminding data is generated, for example, if the acquired medication information data comprises the kallidinogenase enteric-coated tablet and the medicines of the protease inhibitors, the management platform generates medication reminding data of 07:00, kallidinogenase enteric-coated tablet, X tablet, 08:00, the protease inhibitors and X tablet, sends the medication reminding data of 07:00, kallidinogenase enteric-coated tablet and X tablet to a user terminal at 7 points, and sends the medication reminding data of 08:00, X tablet to the user terminal at 8 points, And sending the protease inhibitor medicine and the X-ray to a user side. The time for sending the medication reminding data to the user terminal may be set according to the medication time, for example, the time for sending the medication reminding data may be set to be 10 minutes before the medication time in the medication reminding data. In this embodiment, the management platform further acquires the medication course information of the user by identifying the medication prescription uploaded by the user, and generates a medication schedule according to the medication reminding data and the medication course information, for example, if the number of times of use of a certain medicine in the medication prescription is twice a day, the medicine is scheduled to be taken once in the morning and at night each day when the schedule is generated. The management platform can regularly send corresponding warning data of using medicine to the user according to the calendar of using medicine, and the user can look over the calendar of using medicine through removing end APP simultaneously, knows the calendar condition of using medicine of oneself. The management platform stores the data of the medication schedule into the database, the data are added into the cloud server as timing tasks, the reminding time of the medication reminding data is monitored through a crontab timing task tool, and the medication reminding data is triggered to be sent when the time comes. For example, in the medication schedule, the medication time of the kallidinogenase enteric-coated tablet is 1 month 1 day 07:00, 1 month 1 day 20:00, 1 month 2 day 07:00 and 1 month 2 day 20:00, the set reminding time is 10 minutes before the medication time in each piece of medication reminding data, the crontab timing task tool monitors four triggering times of 06:50 in 1 month 1 day, 19:50 in 1 month 1 day, 06:50 in 1 month 2 day and 19:50 in 1 month 2 day, and triggers the corresponding medication reminding data to be sent to the user terminal when the triggering time is reached. The management platform can also send medication reminding data to the user in units of days according to the medication schedule. For example, if 1 month and 1 day includes 2 pieces of medication reminding data of "07: 00, kallidinogenase enteric-coated tablets, 2 tablets" and "20: 00, kallidinogenase enteric-coated tablets, 2 tablets", all the medication reminding data in 1 month and 1 day can be sent to the user terminal together by the crontab timing task tool at 06:50 of 1 month and 1 day.
In order to further improve the monitoring of the medication course of the user, after the medication reminding data is sent to the user terminal according to the medication time in the embodiment, the method further includes:
receiving medication confirmation information fed back by a user side;
generating and storing medication record data according to the medication confirmation information, wherein the medication record data comprises the actual medication time or the missed medication record of the user;
wherein, the actual medication time is the time when the medication confirmation information is received;
the missing clothes record is: and if the medication confirmation information fed back by the user side is not received within the preset time, the sent medication reminding data is marked as missed medication.
The management platform sends medication reminding data to the user side in a message template mode, and after receiving the medication reminding data, the user confirms medication by clicking related controls in the message template. After receiving the confirmation information of the user, the management platform generates medication record data and stores the medication record data in the database, for example, records the medication reminding data as "medication", takes the time of receiving the confirmation information of the user as the actual medication time of the user, and marks the medication time in the medication schedule so as to be convenient for the user to view. If the confirmation information of the user is not received within the preset waiting time after the medication reminding data are sent to the user, marking the medication reminding data as 'missing' and generating corresponding medication record data to be stored in the database, and meanwhile, marking in the medication schedule. Therefore, the user can know the own medication record through the management platform, and more accurate medication information can be provided for a doctor in the next visit so as to assist the doctor in making more accurate diagnosis.
Different entity data of different medicines are stored in the medicine taking knowledge map, each entity data is a piece of knowledge data, each entity data represents an attribute related to medicine taking of the corresponding medicine, and the medicine taking information of the corresponding medicine can be obtained by obtaining the entity data in the medicine taking knowledge map, so that the medicine taking reminding data are intelligently generated for a user according to the medicine taking information, therefore, the medicine taking reminding data are generated according to the medicine taking information data and the medicine taking knowledge map which is established in advance, and the medicine taking reminding data comprise:
identifying an entity to be processed included in the medication information data;
identifying target entity data corresponding to the entity to be processed in the medication knowledge map;
and generating medication reminding data according to the target entity data.
For example, if the management platform recognizes that the entity to be processed included in the medication information data is a kallidinogenase enteric-coated tablet, the management platform queries target entity data related to the kallidinogenase enteric-coated tablet through a medication knowledge graph. In the knowledge graph, each piece of entity data is stored by using a triple structure, taking a kallidinogenase enteric-coated tablet as an example, (kallidinogenase enteric-coated tablet, taking time before meal) as one piece of entity data, which indicates that the taking time of the kallidinogenase enteric-coated tablet is before meal, if the management platform inquires the item target entity data through the medication knowledge graph, the management platform intelligently generates corresponding medication reminding data by analyzing information in the obtained target entity data, for example, the medication reminding data of the kallidinogenase enteric-coated tablet generated by the management platform is 'kallidinogenase enteric-coated tablet, 2 tablets per time, 3 times per day, oral administration and before meal'. By establishing the medication knowledge map, relevant medication information of various medicines can be stored, and when medication reminding data are generated by the management platform, medication information such as medication time can be intelligently adjusted for a user according to information in the obtained entity data, so that the user can intuitively obtain the information such as medication time and medication amount, and the user can be guided to take medication more effectively and scientifically.
The medication knowledge graph is composed of entity data of medication related information with different dimensions corresponding to the medicine, the medication knowledge graph represents the information with different dimensions of the medicine in a structural graph mode, and the information with different dimensions of the medicine comprises at least one of the following information:
interaction between any two medicines, taking interval time of the medicines, first basic medication time representing the relationship between the taking time of the medicines and the time before and after eating and second basic medication time representing the relationship between the medicines and sleep;
each target entity data comprises one dimension information of the medicine corresponding to the target entity data.
The construction of the medication knowledge graph requires a large amount of relevant data of medication use to establish entity data, and the embodiment crawls the medication use relevant data of the medication from a relevant database through a web crawler. For example, interaction between any two medicines, taking interval time of the medicines, first basic taking time representing the relationship between taking time of the medicines and time before and after eating and second basic taking time representing the relationship between the medicines and sleep can be mined from a medicine specification, a medicine information dictionary and a medical paper relevant database or a webpage, each medicine is corresponding to the mined knowledge and established into triple entity data which are stored in a graph database to form a medicine taking knowledge graph, and similarly, taking a kallidinogenase enteric-coated tablet as an example, (the kallidinogenase enteric-coated tablet is prohibited from being used simultaneously, protease inhibitor medicines) as one entity data to indicate that the kallidinogenase enteric-coated tablet is prohibited from being used simultaneously with protease inhibitor medicines, so that a management platform can intelligently separate the two medicines to generate medicine taking reminding data when the medicine taking reminding data are generated, the user is prevented from taking two medicines at the same time.
Because the drug effects of different medicines are influenced by the dining time and the sleeping time of a user, in order to enable the user to take medicine more scientifically, the medicine taking time of the embodiment is generated according to the following steps:
acquiring diet time data preset by a user, and determining medication time offset according to the diet time data;
acquiring a first basic medication time corresponding to the entity to be processed from target entity data corresponding to the entity to be processed;
acquiring sleep time data preset by a user;
acquiring a second basic medication time corresponding to the entity to be processed from the target entity data corresponding to the entity to be processed;
and generating the medication time according to the diet time data, the medication time offset, the first basic medication time, the sleep time data and the second basic medication time.
The user can upload the diet time and the sleep time of the user through a human-computer interaction interface provided by the APP, and the management platform generates medication reminding data according to the diet time and the sleep time set by the user. For example, the user inputs the meal time as breakfast 08:00, lunch 12:00, dinner 18:00, the management platform may determine an offset for the medication time based on the dietary time data uploaded by the user, for example, the management platform recognizes that the prescription information of the medicine comprises a to-be-processed entity 'compound aluminum hydroxide sheet', the target entity data related to the entity to be processed, namely the compound aluminum hydroxide tablet, is inquired through a medicine knowledge map, for example, the target entity data (the compound aluminum hydroxide tablet, the taking time and one hour after meal) is obtained through inquiry, then, extracting the first basic medication time 'one hour after meal' of the compound aluminum hydroxide sheet from the target entity data, and inquiring to obtain the target entity data (the compound aluminum hydroxide sheet, the administration time, one hour before sleep), the second basal medication time of compound aluminum hydroxide tablets, one hour before sleep, was extracted from the target entity data. The management platform determines that the medication time offset is 30 minutes based on the user-entered meal time of 18:00, and then the medication time is offset backwards by the meal time (30 minutes) plus 1 hour, resulting in a medication time of 19: 30. Similarly, the medicine taking time is 21:00 according to the sleeping time 22:00 set by the user and the obtained entity data (compound aluminum hydroxide tablet, taking time, one hour before sleep), and the medicine taking time is between 19:30 and 21:00 according to the obtained entity data (compound aluminum hydroxide tablet, taking time, one hour after sleep) and the obtained entity data (compound aluminum hydroxide tablet, taking time, one hour before sleep) or one of the two entity data is prioritized according to the preset weight. The optimal taking time of the medicine for exerting the best curative effect can be obtained by correlating the medicine taking time with the diet time and the sleep time, and the optimal time corresponding to each medicine taking is calculated according to the diet time and the sleep time provided by the user.
As shown in fig. 4, in a second aspect of the present invention, there is provided a medication reminding device, comprising:
the acquiring module 110 is configured to acquire medication information data of a user, where the medication information data includes a medicine name, a dosage, and a medication frequency of a corresponding medicine;
the processing module 120 is configured to generate medication reminding data according to the medication information data and a medication knowledge graph established in advance, where the medication reminding data includes medication time, a drug name, and a drug dosage for each medication;
the sending module 130 is configured to send medication reminding data to the user side according to the medication time.
Optionally, the medication reminding device further comprises:
the recording module 140 is configured to receive the medication confirmation information fed back by the user side, generate and store medication record data according to the medication confirmation information, where the medication record data includes actual medication time or missed medication record of the user;
wherein, the actual medication time is the time when the medication confirmation information is received;
the missing clothes record is: and if the medication confirmation information fed back by the user side is not received within the preset time, the sent medication reminding data is marked as missed medication.
Optionally, the generating of medication reminding data according to the medication information data and the medication knowledge graph established in advance includes:
identifying an entity to be processed included in the medication information data;
identifying target entity data corresponding to the entity to be processed in the medication knowledge map;
and generating medication reminding data according to the target entity data.
Optionally, the medication knowledge graph characterizes different dimensional information of the drug in the form of a structured graph, the different dimensional information of the drug including at least one of:
interaction between any two medicines, taking interval time of the medicines, first basic medication time representing the relationship between the taking time of the medicines and the time before and after eating and second basic medication time representing the relationship between the medicines and sleep;
each target entity data comprises one dimension information of the medicine corresponding to the target entity data.
Optionally, the medication time is generated by:
acquiring diet time data preset by a user, and determining medication time offset according to the diet time data;
acquiring a first basic medication time corresponding to the entity to be processed from target entity data corresponding to the entity to be processed;
acquiring sleep time data preset by a user;
acquiring a second basic medication time corresponding to the entity to be processed from the target entity data corresponding to the entity to be processed;
and generating the medication time according to the diet time data, the medication time offset, the first basic medication time, the sleep time data and the second basic medication time.
In summary, in the embodiment of the present invention, the medication time of the drugs is intelligently adjusted through the correlation data and the medication time data of the drugs in the medication knowledge map, so as to effectively prevent the drugs from affecting the curative effect. The implementation mode of the invention can be realized by the smart phone carried by the user, and the problem that the user forgets the medication time and misses the medication can be avoided to the maximum extent; the user can automatically generate the medication schedule by uploading the name of the medicine, the medication period and the dosage, the operation is simple, the user does not need to sort the medicine in advance, and the problem of lack of flexibility is solved; the optimal time for the user to take the medicine is deduced through the knowledge graph, the pre-meal and post-meal time transition of the medicine can be performed in a customized manner according to the variety and the class characteristics of the medicine taken by the user, and the problem that the medicine taking opportunity conflicts with the diet time or the treatment effect is seriously weakened due to conflicts among medicines caused by mistakenly reminding the medicine taking by the traditional mechanical alarm clock type APP at the improper time is solved.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A medication reminding method is characterized by comprising the following steps:
acquiring medication information data of a user, wherein the medication information data comprises a medicine name, a dosage and medication times of a corresponding medicine;
generating medication reminding data according to the medication information data and a medication knowledge map established in advance, wherein the medication reminding data comprises medication time, medicine name and medicine dosage of each medication;
and sending the medication reminding data to a user side according to the medication time.
2. The medication reminding method according to claim 1, wherein after sending the medication reminding data to the user terminal according to the medication time, the method further comprises:
receiving medication confirmation information fed back by a user side;
generating and storing medication record data according to the medication confirmation information, wherein the medication record data comprises the actual medication time or the missed medication record of the user;
wherein the actual medication time is the time when the medication confirmation information is received;
the missing record is as follows: and if the medication confirmation information fed back by the user side is not received within the preset time, the sent medication reminding data is marked as missed medication.
3. The medication reminding method according to claim 1, wherein the generating medication reminding data based on the medication information data and a pre-established knowledge map of medication comprises:
identifying an entity to be processed included in the medication information data;
identifying target entity data corresponding to the entity to be processed in the medication knowledge graph;
and generating the medication reminding data according to the target entity data.
4. The medication reminding method according to claim 3, wherein the medication knowledge graph represents different dimensional information of the medicine in the form of a structured graph, and the different dimensional information of the medicine comprises at least one of the following:
interaction between any two medicines, taking interval time of the medicines, first basic medication time representing the relationship between the taking time of the medicines and the time before and after eating and second basic medication time representing the relationship between the medicines and sleep;
each target entity data comprises one dimension information of the medicine corresponding to the target entity data.
5. The medication reminding method according to claim 4, wherein the medication time is generated by the following steps:
acquiring diet time data preset by a user, and determining medication time offset according to the diet time data;
acquiring a first basic medication time corresponding to the entity to be processed from target entity data corresponding to the entity to be processed;
acquiring sleep time data preset by a user;
acquiring a second basic medication time corresponding to the entity to be processed from target entity data corresponding to the entity to be processed;
and generating the medication time according to the diet time data, the medication time offset, the first basic medication time, the sleep time data and the second basic medication time.
6. A medication intake reminder device, comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring medication information data of a user, and the medication information data comprises medicine names, dosage and medication times of corresponding medicines;
the processing module is used for generating medication reminding data according to the medication information data and a medication knowledge map which is established in advance, wherein the medication reminding data comprises medication time, a medicine name and medicine dosage of each medication;
and the sending module is used for sending the medication reminding data to the user side according to the medication time.
7. The medication reminder device of claim 6, further comprising:
the recording module is used for receiving the medication confirmation information fed back by the user side, generating and storing medication record data according to the medication confirmation information, wherein the medication record data comprises the actual medication time or the missed medication record of the user;
wherein the actual medication time is the time when the medication confirmation information is received;
the missing record is as follows: and if the medication confirmation information fed back by the user side is not received within the preset time, the sent medication reminding data is marked as missed medication.
8. The medication reminding device according to claim 6, wherein the generating medication reminding data based on the medication information data and a pre-established knowledge map of medication comprises:
identifying an entity to be processed included in the medication information data;
identifying target entity data corresponding to the entity to be processed in the medication knowledge graph;
and generating the medication reminding data according to the target entity data.
9. A medication reminder device in accordance with claim 8, wherein the medication knowledge graph characterizes different dimensional information of a medication in the form of a structured graph, the different dimensional information of the medication including at least one of:
interaction between any two medicines, taking interval time of the medicines, first basic medication time representing the relationship between the taking time of the medicines and the time before and after eating and second basic medication time representing the relationship between the medicines and sleep;
each target entity data comprises one dimension information of the medicine corresponding to the target entity data.
10. The medication reminder device of claim 9, wherein the medication time is generated by:
acquiring diet time data preset by a user, and determining medication time offset according to the diet time data;
acquiring a first basic medication time corresponding to the entity to be processed from target entity data corresponding to the entity to be processed;
acquiring sleep time data preset by a user;
acquiring a second basic medication time corresponding to the entity to be processed from target entity data corresponding to the entity to be processed;
and generating the medication time according to the diet time data, the medication time offset, the first basic medication time, the sleep time data and the second basic medication time.
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Application publication date: 20200519 |