Patient medication guidance and pharmaceutical science popularization pushing method based on hospital medicine codes

By constructing a method for matching drug codes with a knowledge base, and utilizing QR codes and barcodes to achieve one-stop access to pharmaceutical information, the problem of patients having difficulty obtaining pharmaceutical information has been solved. This has improved the pertinence and practicality of medication guidance and pharmaceutical science popularization, and promoted the intelligence and humanization of medical services.

CN121350338APending Publication Date: 2026-01-16ANSTEEL GRP CORP GENERAL HOSPITAL (ANSTEEL EMERGENCY CENT)
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Patent Information

Application Number
CN202510196575.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-21
Publication Date
2026-01-16

AI Technical Summary

Technical Problem

In the current technology, patients have difficulty accessing pharmaceutical information, drug instructions are not user-friendly, pharmaceutical science popularization takes a limited form, and insufficient pharmacist resources lead to poor implementation of medication guidance, making it difficult to improve patient compliance and rational drug use.

Method used

A knowledge base based on hospital drug codes is constructed. Drug codes are entered into the knowledge base through the H25 system and matched to generate an index. Information can be accessed in one stop using QR codes and barcodes. Medication guidance and pharmaceutical science popularization are provided in the form of text, voice and video. Pharmacists conduct regular surveys and update the content.

Benefits of technology

It enables patients to conveniently access personalized medication guidance and pharmaceutical science education, improves medication adherence, reduces adverse reactions, optimizes medical resources, and promotes the precision and humanization of medical services.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the field of medical treatment, and discloses a patient medication guidance and pharmaceutical science popularization pushing method based on hospital medicine codes, comprising the following steps: S1, constructing a knowledge base, the content of the knowledge base comprising characters, voice, videos and information of medicines, and marking keywords; s2, inputting hospital medicine codes into a system by using an H25 system, matching the hospital medicine codes with a knowledge base, and generating indexes according to the medicine codes and the medicine information; and S3, performing organic correlation on the specific information of the medicine and the corresponding medication guidance information or the pharmaceutical science popularization knowledge by using a data correlation technology so as to realize one-stop acquisition of the information. The current situation that pharmacist resources are insufficient is effectively made up, guidance is accurately provided according to drugs used by patients, the pertinence and practicability of pharmaceutical science popularization are greatly enhanced, the patients can conveniently obtain personalized medication information and science popularization knowledge, and the medication safety consciousness and the self-management ability are improved.
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Description

TECHNICAL FIELD

[0001] The present application relates to the medical technology field, in particular to a patient medication guidance and pharmacy popularization pushing method based on hospital drug coding. BACKGROUND

[0002] There are many methods and technologies for obtaining information at present, but due to the professional nature of the medical field, the method for obtaining pharmacy information is still limited. The main shortcomings of the existing method are that if pharmacy professional information is needed, the pharmacy professional APP needs to be consulted or information technology means needs to be used for retrieval. After the query, more content is obtained, which needs to be summarized and focused on, and the key points need to be remembered, which requires the help of professional personnel. Therefore, at present, patients obtain professional drug information mainly through two aspects: on the one hand, through reading the drug instruction manual, and on the other hand, through consulting medical staff and pharmacists. However, sometimes it is not convenient to consult medical staff, and only the drug instruction manual can be used to obtain professional and authoritative drug information. The drug instruction manual is rich in content, but it is not friendly. The font size in the instruction manual is difficult for some patients with poor eyesight or the elderly to read. At the same time, the content in the instruction manual is too much and too professional, and it is difficult to start reading and grasp the key points, and the interest in reading is lost.

[0003] Old people have certain difficulties in complex retrieval and reading, and more and more need pharmacists to provide medication guidance and pharmacy popularization. Medication guidance refers to the adverse reactions that may occur during the medication process and the countermeasures, which scientifically guide patients to correctly and reasonably use drugs. Pharmacy popularization is to popularize the safety of drug use knowledge with simple language. Both of them are of great significance to improve patient compliance.

[0004] At present, various medical institutions also carry out medication guidance and pharmacy popularization, but due to the reasons such as many patients in medical institutions, lack of pharmacy personnel, and great gap in the business literacy of pharmacists, the implementation of medication guidance in reality is not ideal. The form of pharmacy popularization in some medical institutions is also relatively single, mainly using writing popular articles and medical knowledge question and answer, and issuing reasonable drug use publicity materials. Such a way lacks vitality, and the pharmacy popularization promotion is not satisfactory, and it is difficult to achieve the goal of promoting rational drug use. SUMMARY

[0005] In view of the deficiencies of the prior art, the present application provides a patient medication guidance and pharmacy popularization pushing method based on hospital drug coding, solves the problems that the existing method for obtaining pharmacy information is limited, professional personnel are needed to summarize the key points after querying a professional APP or informationized retrieval, patients mainly obtain information by drug instruction manuals and consulting medical staff, but the instruction manual is not friendly to people with poor eyesight and the content is complicated and it is difficult to grasp the key points, each medical institution has poor medication guidance execution due to many patients, few pharmacy personnel and uneven literacy, and the form of pharmacy popularization is single and lacks vitality, and it is difficult to promote rational drug use.

[0006] To achieve the above object, the present application is implemented by the following technical scheme: a patient medication guidance and pharmacy popularization pushing method based on hospital drug coding, comprising the following steps:

[0007] S1. Construct a knowledge base, the content of the knowledge base includes text, voice and video, the content relates to the information of drugs, and key words are marked;

[0008] S2. Use an H25 system to input the hospital drug coding into the system, and match with the knowledge base, and generate an index according to the drug coding and drug information;

[0009] S3. Use data correlation technology to organically correlate the specific information of the drug with the corresponding medication guidance information or pharmacy popularization knowledge, to realize one-stop information acquisition;

[0010] S4. Convert the correlated rich content into convenient pictures, and the correlated content specifically includes not only concise and clear text content with highlighted key points, but also clear and smooth voice broadcast content which is easy to understand;

[0011] S5. Export the two-dimensional code to make labels, and firmly paste the labels on the outer packaging of the drug, and for inpatient, accurately print the two-dimensional code and the drug infusion sign on the drug infusion bag;

[0012] S6. The pharmacist regularly investigates, improves the medication guidance and pharmacy popularization, and updates the content of the knowledge base.

[0013] Preferably, the step S1 comprises:

[0014] S101. Construct a medication guidance knowledge base, and record and display it in different forms, and mark representative and searchable key words for each important information.

[0015] Preferably, the step S1 further comprises:

[0016] S102. Construct a pharmacy popularization knowledge base, and also mark it in different recording and display modes.

[0017] Preferably, the medication guide knowledge base in step S101 includes indications, usage and dosage, precautions, and adverse reaction information of various drugs.

[0018] Preferably, the recording and presentation in step S101 are in the form of rigorous and accurate text, accompanied by clear and understandable voice explanations and vivid video demonstrations.

[0019] Preferably, the pharmacy popular science knowledge base in step 102 includes the principles of drug treatment for common diseases, the development history of drugs, the basic principles of rational drug use, and the storage and preservation methods of drugs.

[0020] Preferably, the recording and presentation in step 102 are in the form of a combination of text, voice, and video, with detailed keyword annotation.

[0021] Preferably, in step S3, the specific matching algorithm is:

[0022] M(C,K i )=α×f(C,K i )+β×g(I,K i )

[0023] Where: C is the drug code, K i is the unique identifier of each drug knowledge item in the knowledge base, i represents different item numbers, I is the key information of the drug, and M is the matching degree.

[0024] f(C,K i ) is a direct matching function of drug code and knowledge base identifier, f(C,K i ) = 1 when the code is completely consistent, otherwise it is 0.

[0025] g(I,K i ) is a similarity function of drug key information and corresponding information in the knowledge base item, which uses a text similarity algorithm to calculate. Specifically, when using cosine similarity, the drug key information and the corresponding information in the knowledge base item are first converted into vector representations, and then the cosine value of the two vectors is calculated as the value of g(I,K i ), which ranges from 0 to 1.

[0026] α and β are weight coefficients used to adjust the importance of code matching and information matching in the overall matching degree.

[0027] Preferably, in step S4, the picture includes a two-dimensional code and a bar code.

[0028] Preferably, in the step S6, the specific content of the investigation includes: through face-to-face communication with the patient, collecting the feedback of the patient and observing and analyzing the actual medication mode.

[0029] The application provides a patient medication guidance and pharmaceutical popularization pushing method based on hospital drug coding.

[0030] 1. The application effectively makes up for the shortage of pharmacist resources, provides guidance according to the drugs used by patients, greatly enhances the pertinence and practicality of pharmaceutical popularization, enables patients to conveniently obtain personalized medication information and popularization knowledge, and improves medication safety awareness and self-management ability.

[0031] 2. The application effectively promotes the improvement of patient medication compliance, helps patients to correctly and reasonably use drugs, reduces medication errors and adverse reactions, simultaneously shares part of the work pressure of medical staff, optimizes the allocation of medical resources, improves the overall efficiency and quality of medical services, and promotes the development of precision and humanization of medical services.

[0032] 3. The application inputs the hospital drug coding into the system through the calculation formula, and matches with the knowledge base, ensures the accurate matching and rapid indexing of drug information, improves the accuracy and timeliness of drug information pushing, provides authoritative, reliable and easily accessible medication guidance and popularization resources for patients, improves the intelligent level of medical information service, and promotes the digital transformation of medical services. BRIEF DESCRIPTION OF DRAWINGS

[0033] Figure 1 The method flowchart of the application;

[0034] Figure 2 The S1 flowchart of the application. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the specification of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the application.

[0036] Embodiment:

[0037] Please refer to the drawings in the specification of the application Figure 1 , the embodiments of the application provide a patient medication guidance and pharmaceutical popularization pushing method based on hospital drug coding, which comprises the following steps: Figure 2

[0038] ​S1. Construct a knowledge base, the content of which includes text, voice, video, the content relates to the information of the drug, and the key words are marked;

[0039] S101. Construct a medication guidance knowledge base, covering the indications, usage and dosage, precautions, and adverse reaction information of various drugs, and present them in a rigorous and accurate text form, accompanied by clear and understandable voice explanations and vivid video demonstrations, and mark representative and searchable keywords for each important information to facilitate subsequent queries and matching;

[0040] S102. Construct a pharmaceutical popular science knowledge base, the content of which relates to the principles of drug treatment for common diseases, the development history of drugs, the basic principles of rational drug use, and the storage and preservation methods of drugs, and also uses a diversified form of text, voice, and video, and performs meticulous keyword annotation to meet the different levels of demand for pharmaceutical popular science knowledge by patients;

[0041] S2. Use the H25 system to input the hospital drug codes into the system and match them with the knowledge base, and generate an index based on the drug codes and drug information to facilitate patient queries, the specific matching algorithm is:

[0042] M(C,K i )=α×f(C,K i )+β×g(I,K i )

[0043] Where: the drug code is C, each drug knowledge entry in the knowledge base has a unique identifier K i , (i represents different entry numbers), the key information of the drug (including the name, main ingredients) is I, and the matching degree is M;

[0044] f(C,K i ) is a direct matching function of drug code and knowledge base identifier, when the code is completely consistent, f(C,K i ) = 1, otherwise 0;

[0045] g(I,K i ) is a similarity function of drug key information and corresponding information in the knowledge base entry, using a text similarity algorithm (including cosine similarity) to calculate, specifically, when using cosine similarity, first convert the drug key information and the corresponding information in the knowledge base entry into vector representation (through the word vector model), then calculate the cosine value of the two vectors as the value of g(I,K i ), its value range is between 0 and 1;

[0046] Alpha and beta are weight coefficients for adjusting the importance of the encoding matching and the information matching in the overall matching degree, and the specific values can be adjusted and optimized according to actual conditions and experience;

[0047] When the values of all M(C, K i ) are calculated, the knowledge base entry with the highest matching degree is selected as the matching result of the drug code, and an index is generated according to it to facilitate patient query;

[0048] S3. Use data association technology to organically associate the specific information of the drug with the corresponding drug use guidance information or pharmaceutical popular science knowledge, so that the patient can synchronously obtain the detailed use method of the drug and the related popular science knowledge when querying a drug, and realize one-stop information acquisition;

[0049] S4. Convert the associated rich content into convenient pictures, including two-dimensional codes and bar codes. The specific associated content includes not only concise and clear, key highlighted text content, but also clear and smooth, easy to understand voice broadcast content. The patient only needs to perform a simple scanning code operation to select to read the text or listen to the voice according to his own needs, and obtain the required drug information and popular science knowledge, greatly improving the convenience and flexibility of information acquisition;

[0050] S5. The two-dimensional code is exported to make a label, and the label is firmly pasted on the outer packaging of the drug, so that the patient can notice and scan the code at the first time of obtaining the drug. For inpatient, the two-dimensional code is accurately printed on the drug infusion bag together with the drug infusion label, so that the patient can obtain drug use guidance and popular science information at any time during infusion, and realize whole-process drug care;

[0051] S6. The pharmacist regularly investigates, improves the drug use guidance and pharmaceutical popular science, and updates the knowledge base content. The specific content of the investigation includes: through face-to-face communication with the patient, collecting feedback opinions of the patient, and observing and analyzing the actual drug use situation.

[0052] Although the embodiments of the present application have been shown and described, it can be understood by those skilled in the art that various changes, modifications, replacements and variations can be made to the embodiments without departing from the principles and spirits of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A patient medication guidance and pharmacy popularization pushing method based on hospital drug coding, comprising the following steps: S1. Constructing a knowledge base, the content of the knowledge base including text, voice, video, the content relating to drug information, and key words being marked; S2. Using the H25 system to input the hospital drug coding into the system and match with the knowledge base, and generating an index according to the drug coding and drug information; S3. Using data correlation technology to organically correlate the specific information of the drug with the corresponding medication guidance information or pharmacy popularization knowledge, and realizing one-stop information acquisition; S4. Converting the correlated rich content into convenient pictures, the specific correlated content including not only concise and clear, key highlighted text content, but also clear and smooth, easy to understand voice broadcast content; S5. Exporting the two-dimensional code to make labels, and firmly pasting the labels on the outer packaging of the drug, and for inpatient, accurately printing the two-dimensional code and the drug infusion sign on the drug infusion bag; S6. Pharmacists regularly investigate, improve the medication guidance and pharmacy popularization, and update the knowledge base content.

2. The method of claim 1, wherein the method is characterized by: The step S1 comprises: S101. Constructing a medication guidance knowledge base, and recording and presenting in different forms, and marking representative and searchable key words for each important information. 3.The method of claim 1, wherein the method further comprises: receiving a request for a drug guide from a user; and providing the drug guide to the user in response to the request. The step S1 further comprises: S102. Constructing a pharmacy popularization knowledge base, also using different recording and presentation methods for labeling.

4. The method of claim 1, wherein the method further comprises: receiving a request for a drug guide from a user; and providing the drug guide to the user in response to the request. The medication guidance knowledge base in step S101 includes indications, usage and dosage, precautions, and adverse reaction information of various drugs.

5. The method of claim 1, wherein the method further comprises: providing a patient with a drug guide based on the hospital drug code; and providing the patient with a pharmaceutical popularization based on the hospital drug code. The recording and presentation in different forms in step S101 are: presenting in a rigorous and accurate text form, recording clear and easy-to-understand voice explanation, and making vivid and visual video demonstration.

6. The method of claim 1, wherein the method further comprises: providing a patient with a drug guide based on the hospital drug code; and providing the patient with a pharmaceutical popularization based on the hospital drug code. The pharmacy popularization knowledge base in step 102 includes drug treatment principles for common diseases, drug research and development history, basic principles of rational drug use, and drug storage and preservation methods.

7. The method of claim 1, wherein the method further comprises: receiving a request for a drug guide from a user; and providing the drug guide to the user in response to the request. The labeling in different recording and presentation methods in step 102 specifically comprises: using diversified forms of text, voice, and video in combination, and carefully labeling key words. 8.The method of claim 1, wherein the method further comprises: receiving a request for a drug guide from a user; and providing the drug guide to the user in response to the request. In step S3, the specific matching algorithm is: M(C, K i ) = a x f(C, K i ) + b x g(I, K i ) Wherein: the drug code is C, each drug knowledge item in the knowledge base has a unique identifier K i , i represents different item serial numbers, the key information of the drug is I, and the matching degree is M. f(C,K i ) is a direct matching function of drug code and knowledge base article identification. When the code is completely consistent, f(C,K i ) = 1, otherwise 0. g ( I,K i) is a similarity function of the corresponding information in the drug key information and the knowledge base entry, calculated using a text similarity algorithm. Specifically, when using cosine similarity, the corresponding information in the drug key information and the knowledge base entry is first converted into vector representation, and then the cosine value of the two vectors is calculated as g ( I,K i) , the value of which ranges from 0 to 1; α and β are weight coefficients for adjusting the importance of coding matching and information matching in the overall matching degree. 9.The method of claim 1, wherein the method further comprises: determining a drug code of the drug based on the drug name; and searching for a drug code of the drug in a drug code database based on the determined drug code. In step S4, the picture includes a two-dimensional code and a bar code. 10.The method of claim 1, wherein the method further comprises: determining a drug code of the drug based on the drug name; and searching for a drug code of the drug in a drug code database based on the determined drug code. In step S6, the specific content of the investigation includes: through face-to-face communication with patients, collecting feedback from patients, and observing and analyzing the actual medication situation.