Reverse intelligent recommendation method for home individualized medication guidance based on medicine specification
By building an AI-powered home medication recommendation platform, which automatically matches individualized medication plans based on drug instructions, the platform solves the problems of low efficiency and insufficient accuracy in existing medication guidance technologies, and achieves safe and convenient individualized medication guidance.
Patent Information
- Application Number
- CN202511650676.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-12
- Publication Date
- 2026-02-10
AI Technical Summary
Existing medication guidance methods are inefficient, inaccurate, and prone to errors, especially in home medication scenarios, particularly for special populations such as the elderly, children, and patients with liver or kidney dysfunction.
An AI-powered home medication recommendation platform is built based on drug instructions. It collects information on various drugs, formulates usage and dosage rules, and automatically matches individualized medication plans through the system. This includes adjusting the frequency and dosage of medication according to age, weight, and specific diseases, thereby reducing human intervention.
It improves the accuracy and applicability of medication regimens, reduces the probability of medication accidents, ensures medication safety, and achieves convenient operation throughout the entire process.
Smart Images
Figure CN121506362A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of individualized medication guidance, in particular to a reverse intelligent recommendation method for home individualized medication guidance based on drug instructions. BACKGROUND
[0002] The current medication guidance is mainly guided by the hospital doctors after diagnosing and prescribing drugs, referring to the drug instructions or relying on experience to guide the patients to take medicine, such as 3 times a day, 1 pill each time, after meals. Since the doctors can not remember so many drug instructions, it is easy to write or remember the wrong usage when prescribing drugs, which will cause miscommunication. If the pharmacist or intelligent system prints the medication guidance according to the doctor's prescription, it will also cause errors. The same reason exists in the online diagnosis and offline medication guidance. The medication guidance of patients buying medicine in the pharmacy is mainly guided by the pharmacist according to the drug instructions or the patients checking the instructions by themselves. Similarly, the pharmacist is also easy to remember the wrong usage and cause miscommunication, and the patients checking the drug instructions by themselves are difficult to understand due to the lack of professional knowledge, which is easy to use incorrectly. Such medication guidance mode is not only low in efficiency, but also inaccurate, which is easy to cause medication accidents.
[0003] In addition, some drugs need to calculate the specific dosage and frequency according to the age and weight, such as the dosage of the elderly and children. In addition, some drugs need to develop specific medication guidance programs according to diseases, such as patients with liver dysfunction and kidney dysfunction. The medication of these special groups needs to be individualized. In the face of such complex medication, it is difficult to solve by artificial means, which is low in efficiency, inaccurate and easy to make mistakes, especially for the patients at home. SUMMARY
[0004] The purpose of the present application is to provide a reverse intelligent recommendation method for home individualized medication guidance based on drug instructions, which solves the problem of low efficiency and inaccuracy of the existing medication guidance mode.
[0005] To achieve the above purpose, the present application provides a reverse intelligent recommendation method for home individualized medication guidance based on drug instructions, which comprises the following steps: S1, collecting the drug information of various drugs on the market; S2, based on the drug information of various drugs, obtaining the instructions of each drug, formulating the usage and dosage rules of the drug according to the original instructions of the drug, and uploading the usage and dosage rules to the medication guidance database; S3, constructing an AI home medication recommendation platform based on the medication guidance database; S4, when the user completes the registration and submits the health information and drug information in the AI home medication recommendation platform, the AI home medication recommendation platform provides individualized medication guidance for the user.
[0006] In some embodiments of the present application, in S1, collecting drug information of a plurality of drugs on the market currently includes: Collecting original manufacturer's instructions and drug information of a plurality of drugs on the market recorded by medical insurance, and uploading the original manufacturer's instructions and drug information to a medication guidance database; Wherein, the types of the plurality of drugs are at least 140,000, and the drug information at least includes the name, trade name, dosage form, specification, manufacturer, national standard code, and medical insurance type of the drug.
[0007] In some embodiments of the present application, in S2, based on the drug information of the plurality of drugs, obtaining the instructions of each drug includes: Based on the drug information of the plurality of drugs, collecting the instructions of each drug corresponding to different manufacturers' specifications in hospitals and on the network, and the types of the instructions are at least 300.
[0008] In some embodiments of the present application, in S2, formulating the usage and dosage rules of the drug for the original manufacturer's instructions of the drug includes: For general rules, setting according to the general medication frequency, medication dosage, and medication instructions specified in the instructions; For age rules, setting different age ranges according to the instructions and determining the corresponding medication frequency and medication dosage; For weight rules, setting different weight ranges according to the instructions and determining the medication frequency, entering the dosage per kilogram, and calculating the total dosage corresponding to the weight.
[0009] In some embodiments of the present application, in S2, formulating the usage and dosage rules of the drug for the original manufacturer's instructions of the drug further includes: For special disease calculation, entering special disease information, determining the corresponding medication frequency and medication dosage, and performing system matching according to the age and weight conditions, and entering the instructions.
[0010] In some embodiments of the present application, in S2, the expression of the total dosage corresponding to the weight is: D; Wherein, is the weight, is the dosage per kilogram, and D is the total dosage.
[0011] In some embodiments of the present application, in S4, after the user completes registration and submits health information and drug information on the AI home medication recommendation platform, the individualized medication guidance for the user by the AI home medication recommendation platform includes: The user fills in the personal health record information when registering, including name, gender, pregnancy state, birthday, height, weight, and region, and submits the drug information after completing the registration, and the system matches the usage and dosage of the selected drug in the medication guidance database according to the user's personal health record information, and sends it to the user for confirmation.
[0012] In some embodiments of the present application, in S4, further comprising: When the user needs to adjust the medication, click the adjustment button in the drug interface of the platform, and select the corresponding regular usage, special disease, age group, and different medication adjustment state from the corresponding disease list. After the user selects the above state, the platform will automatically match the corresponding medication rules and output the adjusted medication frequency, dosage, and instructions.
[0013] The advantages and beneficial effects of the present application over the prior art are: 1. The present application takes the original factory specification of the national market circulating drugs as the only data basis to ensure the authority and accuracy of the medication information from the source. At the same time, through automatic matching of usage and dosage (such as automatic calculation of dosage according to age and weight, and association of special rules according to special diseases), the risk of manual intervention, manual memory deviation, and calculation errors is reduced, and finally a safe closed loop of "accurate information → automatic matching → clear guidance" is formed, which effectively reduces the probability of medication accidents and provides core protection for patient medication safety.
[0014] 2. The present application constructs a hierarchical adaptation system of "general rules + age rules + weight rules + special disease rules": different medication ranges are preset according to age, the total dosage is automatically calculated according to "weight x dosage per kilogram", and medication rules are separately set for diseases such as liver dysfunction. The system can automatically match the corresponding scheme according to the age, weight, and disease information in the patient's health record, solve the problem of complex individualized medication scenarios that are difficult for manual processing, ensure that special groups can obtain medication guidance that meets their physiological or pathological conditions, and improve the accuracy and applicability of the medication scheme.
[0015] 3. The present application realizes full-process convenient operation through the AI home medication recommendation platform: the patient fills in the health record information such as name, birthday, weight, and disease, and the system can automatically generate the usage and dosage (including frequency, dosage, and taking time) after adding the drug. When the user needs to adjust, the medication recommendation scheme can also be automatically updated.
[0016] The technical solutions of the present application will be further described in detail below through the drawings and embodiments. BRIEF DESCRIPTION OF DRAWINGS
[0017] Figure 1 It is a flowchart of a home individualized medication guidance reverse intelligent recommendation method based on drug instructions in the embodiments of the present application. Figure 2 Fig. 1 is a schematic diagram of an adding medicine interface according to an embodiment of the present application; Figure 3 Fig. 2 is a schematic diagram of a disease adjustment selection interface according to an embodiment of the present application. DETAILED DESCRIPTION
[0018] In the description of the present application, it should be noted that the terms “upper”, “lower”, “inner”, “outer” and the like indicate the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the product of the present application is usually placed, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. In the description of the present application, it should be noted that, unless otherwise explicitly specified and limited, the terms “arrangement”, “installation”, “connection” should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or integrally connected; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium, or it can be the communication between two elements inside. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.
[0019] The embodiments of the present application will be described in detail below with reference to the accompanying drawings.
[0020] As shown in Figure 1 The present application provides a home individual medication guidance reverse intelligent recommendation method based on drug instructions, comprising the following steps: S1, collecting drug information of various drugs on the market.
[0021] S2, based on the drug information of various drugs, obtaining the instructions of each drug, formulating the usage and dosage rules of the drug according to the original instructions of the drug, and uploading the usage and dosage rules to the medication guidance database.
[0022] S3, constructing an AI home medication recommendation platform based on the medication guidance database.
[0023] S4, after the user completes registration and submits health information and drug information on the AI home medication recommendation platform, the AI home medication recommendation platform provides individualized medication guidance for the user.
[0024] The application takes the original factory specification of the national market circulating medicine as the only data basis, ensures the authority and accuracy of the drug information from the source, and at the same time, through automatic matching of the usage and dosage (such as automatic calculation of the dose according to the age and weight, association of special rules according to special diseases), reduces the manual intervention link, avoids the risk of manual memory deviation and calculation error, and finally forms a safe closed loop of "accurate information-automatic matching-clear guidance", effectively reduces the probability of drug accidents, and provides core protection for patient safety.
[0025] In some embodiments of the application, in S1, the drug information of a plurality of drugs on the market is collected, including: The original factory specification and drug information of a plurality of drugs on the market are collected, and the original factory specification and drug information are uploaded to the drug use guidance database; Among them, the types of a plurality of drugs are at least 140,000, and the drug information at least includes the name, picture, trade name, dosage form, specification, manufacturer, national standard code, and medical insurance type of the drug.
[0026] In some embodiments of the application, in S2, based on the drug information of a plurality of drugs, the specification of each drug is obtained, including: Based on the drug information of a plurality of drugs, the specifications of each drug corresponding to different manufacturers are collected in hospitals and on the network, and the types of the specifications are at least 300.
[0027] In some embodiments of the application, in S2, for the original factory specification of the drug, the usage and dosage rules of the drug are developed, including: For the general rule, the general medication frequency specified in the specification is set; for example, 3 times a day, 1 pill each time, take before meals, and check the general rule.
[0028] For the age rule, different age ranges are set according to the specification, and the corresponding medication frequency and medication dose are determined; For the weight rule, different weight ranges are set according to the specification, the medication frequency is determined, the dose per kilogram is entered, and the total dose corresponding to the weight is calculated.
[0029] In some embodiments of the application, in S2, for the original factory specification of the drug, the usage and dosage rules of the drug are developed, including: For special disease calculation, special disease information is entered, the corresponding medication frequency and medication dose are determined, the system is matched according to the age and weight conditions, and the order is entered. For example, liver dysfunction, first enter the keyword of liver dysfunction, select the corresponding medication frequency and medication dose, and according to the age and weight conditions, the system is matched, the order is entered, and the disease name liver dysfunction is checked. If there are many diseases, the diseases can be added according to the above situation, and the corresponding rules are set.
[0030] The application constructs a hierarchical adaptation system of "general rules + age rules + weight rules + special disease rules": different medication ranges are preset according to age, the total dose is automatically calculated according to "body weight x dose per kilogram", and medication rules are separately set for diseases such as liver dysfunction. The system can automatically match the corresponding scheme according to the age, weight and disease information in the patient's health record, solve the problem that manual processing of complex individualized medication scenarios is difficult to be accurate, and ensure that special groups can obtain medication guidance that meets their own physiological or pathological conditions, thereby improving the accuracy and applicability of the medication scheme.
[0031] In some embodiments of the application, in S2, the expression for calculating the total dose corresponding to the body weight is: D; wherein, is the body weight, is the dose per kilogram, and D is the total dose.
[0032] In some embodiments of the application, in S4, after the user completes registration and submits health information and drug information on the AI home medication recommendation platform, the AI home medication recommendation platform provides individualized medication guidance for the user, including: The user fills in the personal health record information when registering, including name, gender, pregnancy status, birthday, height, weight, region, and submits drug information after completing registration, such as Figure 2 As shown, the system matches the usage and dosage of the selected drug, the order, and sends them to the user for confirmation according to the user's personal health record information in the medication guidance database.
[0033] In some embodiments of the application, in S4, it also includes: When the user needs to adjust, click the adjustment button in the platform drug list column, and select the disease and other special medication states in the corresponding disease list, and the platform automatically matches the rules according to the user's selected disease information, adjusts the usage and dosage of the drug, and outputs the adjusted usage and dosage of the drug.
[0034] In a specific embodiment, when the user needs to adjust the medication, click the adjustment button in the platform drug interface, select the corresponding general usage, special disease, age group, and other different medication adjustment states in the corresponding disease list, and after the user selects the above states, the platform will automatically match the corresponding medication rules and output the adjusted medication frequency, medication dose, and order.
[0035] In another specific embodiment, the patient can click the adjustment button to pop up a list of corresponding diseases, and the patient can directly select the disease, such as Figure 3If the disease is shown, the usage and dosage are automatically adjusted to the usage corresponding to the disease, realizing the individualized intelligent medication guidance of the disease.
[0036] The present application realizes the whole-process convenient operation through the AI home medication recommendation platform: the patient fills in the health record information such as name, birthday, weight and disease, and the system can automatically generate the usage and dosage (including frequency, dose and taking time) after adding the medicine. When the user needs to adjust, the medication recommendation scheme can also be automatically updated.
[0037] In the present application, unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs. If there is any inconsistency, the meaning described in the specification or derived from the content described in the specification shall prevail. In addition, the terms used herein are only for the purpose of describing the embodiments of the present application and are not intended to limit the present application.
[0038] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application and not to limit it, although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand: it can still modify or equivalently replace the technical solutions of the present application, and these modifications or equivalent replacements cannot make the modified technical solutions deviate from the spirit and scope of the technical solutions of the present application.
Claims
1. A reverse intelligent recommendation method for personalized home medication guidance based on drug instructions, characterized in that, Includes the following steps: S1. Collect drug information for various drugs currently on the market; S2. Based on drug information for multiple drugs, obtain the instructions for each drug, formulate usage and dosage rules for the drugs based on the original manufacturer's instructions, and upload the usage and dosage rules to the drug guidance database. S3. Build an AI-powered home medication recommendation platform based on a medication guidance database; S4. After a user completes registration and submits health and medication information on the AI-powered home medication recommendation platform, the platform will provide the user with personalized medication guidance.
2. The method for reverse intelligent recommendation of home-based personalized medication guidance based on drug instructions, as described in claim 1, is characterized in that, In step S1, the collection of drug information for various drugs currently on the market includes: Collect original manufacturer's instructions and drug information for various drugs covered by medical insurance, and upload the original manufacturer's instructions and drug information to the medication guidance database; The variety of drugs mentioned includes at least 140,000 types, and the drug information includes at least the drug name, image, trade name, dosage form, specifications, manufacturer, national standard code, and medical insurance type.
3. The method for reverse intelligent recommendation of home-based personalized medication guidance based on drug instructions, as described in claim 2, is characterized in that... In step S2, obtaining the instruction manual for each drug based on drug information for multiple drugs includes: Based on drug information for various medications, instruction manuals corresponding to different manufacturers and specifications of each medication are collected from hospitals and the internet, with at least 300 different types of instruction manuals.
4. The method for reverse intelligent recommendation of home-based personalized medication guidance based on drug instructions, as described in claim 3, is characterized in that... In step S2, the usage and dosage rules for the drug are formulated based on the original manufacturer's instructions for use, including: For general rules, set them according to the general medication frequency, dosage, and medication instructions specified in the instructions; Based on age rules, different age ranges are set according to the instructions, and the corresponding frequency and dosage of medication are determined. Based on the weight rules, different weight ranges are set according to the instructions, the frequency of medication is determined, the dosage per kilogram is entered, and the total dosage for the corresponding weight is calculated.
5. The method for reverse intelligent recommendation of home-based personalized medication guidance based on drug instructions, as described in claim 4, is characterized in that... In step S2, the formulation of usage and dosage rules for the drug based on the original manufacturer's instructions also includes: For specific diseases, calculate and enter the specific disease information, determine the corresponding medication frequency and dosage, match the medication according to age and weight conditions, and enter the instructions.
6. The method for reverse intelligent recommendation of home-based personalized medication guidance based on drug instructions, as described in claim 5, is characterized in that... In S2, the expression for calculating the total dose corresponding to body weight is: D； in, For weight, D represents the dose per kilogram, and D represents the total dose.
7. The method for reverse intelligent recommendation of home-based personalized medication guidance based on drug instructions, as described in claim 6, is characterized in that, In step S4, after the user completes registration and submits health and medication information on the AI-powered home medication recommendation platform, the platform provides the user with personalized medication guidance recommendations, including: When registering, users fill in their personal health record information, including name, gender, pregnancy status, date of birth, height, weight, and region. After completing registration, users submit their medication information. The system matches the usage, dosage, and instructions of the selected medication in the medication guidance database based on the user's personal health record information and sends it to the user for confirmation.
8. The method for reverse intelligent recommendation of home-based personalized medication guidance based on drug instructions, as described in claim 7, is characterized in that... S4 also includes: When a user needs to adjust their medication, they can click the "Adjust" button on the medication interface within the platform. A list of corresponding diseases will pop up, allowing the user to select the appropriate medication usage, specific disease, age group, or other status that requires adjustment. Once a user selects the above status, the platform will automatically match the corresponding medication rules and output the adjusted medication frequency, dosage, and instructions.