Clinical pharmacy intelligent management method based on Internet
Through the Internet-based smart clinical pharmacy management method, the clinical pharmacy management system and big data artificial intelligence technology are used to solve the problems of inefficient efficiency and insufficient drug safety in traditional drug management, and achieve more efficient and safe drug management and optimized therapeutic effects.
Patent Information
- Application Number
- CN202510089933.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-21
- Publication Date
- 2025-05-16
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Traditional clinical pharmacy management faces problems such as inefficient drug management, incomplete tracking of medication usage, and poor communication between pharmacists and doctors, resulting in frequent drug adverse events and drug-derived diseases.
The Internet-based intelligent clinical pharmacy management method is adopted, and the intelligent and informatization of drug management is achieved through multiple modules of the clinical pharmacy management system (drug information management, drug inventory management, prescription review, drug use monitoring and evaluation, patient information management, clinical decision support, etc.).
It improves the efficiency and safety of drug management, optimizes the treatment effect of patients, reduces drug waste and shortage, enhances communication and collaboration between pharmacists and doctors, and improves the safety of patients' medication.
Smart Images
Figure CN120015225A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of medical data processing, and in particular to an Internet-based clinical pharmacy intelligent management method. Background Art
[0002] With the rapid development of global medical technology, various new drugs are emerging in an endless stream, combined drug use has increased significantly, and irrational drug use is also common. In recent years, adverse drug events and drug-induced diseases have occurred frequently, causing great harm to patients and society.
[0003] Traditional clinical pharmacy management faces many challenges, such as inefficient drug management, incomplete tracking of patients' medication use, and poor communication between pharmacists and doctors. With the rapid development of information technology, the "Internet +" model has been widely used in the medical field, bringing new opportunities for clinical pharmacy services. Summary of the invention
[0004] The technical problem to be solved by the present invention is to overcome the defects of the above-mentioned technologies and provide an Internet-based clinical pharmacy intelligent management method, which aims to improve the efficiency and safety of drug management and optimize the treatment effect of patients through intelligent and information-based means.
[0005] In order to solve the above technical problems, the technical solution provided by the present invention is an Internet-based clinical pharmacy intelligent management method: comprising a clinical pharmacy management system, wherein the clinical pharmacy management system comprises the following modules:
[0006] Drug information management module: used to enter and manage basic drug information, including drug name, specification, manufacturer, production date, and expiration date. This information provides accurate data support for drug management;
[0007] Drug inventory management module: real-time monitoring of drug inventory to ensure that drugs are sufficient and not excessive to meet clinical needs. At the same time, the drug expiration date is tracked and managed, and expired drugs are handled in a timely manner to ensure drug quality and safety;
[0008] Prescription review module: Automated review of prescriptions issued by doctors to identify potential medication problems, including drug interactions and dosage errors, and reduce the risk of medication errors;
[0009] Medication monitoring and evaluation module: monitor and evaluate patients' medication use, promptly identify and handle medication problems, ensure patients' medication safety and effectiveness, collect and report adverse drug reaction information, and assist relevant departments in investigation and analysis;
[0010] Patient information management module: input, store, query and update the patient's medical history, diagnosis, treatment plan information, provide comprehensive patient information for medical staff, and the patient information management module links the hospital information system (HIS) and electronic medical record system (EMR);
[0011] Clinical decision support module: provides functions such as drug use analysis, drug efficacy evaluation, and drug interaction detection, providing a basis for doctors to choose more effective drugs in clinical practice:
[0012] The clinical pharmacy wisdom management method comprises the following steps:
[0013] S1. Data acquisition and preprocessing:
[0014] S101. Obtain the patient's medical record information from the hospital information system (HIS) and the electronic medical record system (EMR) through the patient information management module, including basic information, disease diagnosis, allergy history, examination records, and medication records;
[0015] S102. Preprocess the acquired data, including data cleaning and data integration, to ensure the accuracy and completeness of the data;
[0016] S2. Build a disease recognition model:
[0017] S201. Use big data and artificial intelligence technology to conduct in-depth learning and analysis of patients' medical records and build a disease recognition model that can automatically identify patients' diseases and provide corresponding medication recommendations;
[0018] S3. Medication management:
[0019] S301. Formulate a drug purchase table based on the output of the disease recognition model and the drug matching information;
[0020] S302. Real-time tracking of patients’ medication use, including medication compliance, drug interactions, and possible adverse reactions;
[0021] S303. If necessary, adjust the medication regimen in a timely manner to ensure the patient's medication safety.
[0022] The method also includes communication and collaboration between pharmacists and doctors, as well as patient education and follow-up.
[0023] Compared with the prior art, the advantages of the present invention are as follows: the present invention utilizes the Internet platform and information communication technology to reduce drug waste and shortages and improve the efficiency and safety of drug management; integrates medical resources and utilizes big data analysis and artificial intelligence technology to provide clinical pharmacists with an efficient and intelligent working platform, provides patients with personalized medication plans, optimizes treatment plans, and improves treatment effects; monitors patients' medication in real time, promptly discovers and handles potential medication risks and adverse events, and improves patients' medication safety; communication between pharmacists and doctors is smoother, and the accuracy and timeliness of medical order review are improved. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] Figure 1 This is a schematic diagram of the clinical pharmacy management system. DETAILED DESCRIPTION
[0025] Embodiment 1, in combination with Figure 1 , a clinical pharmacy intelligent management method based on the Internet, including a clinical pharmacy management system, wherein the clinical pharmacy management system includes the following modules:
[0026] Drug information management module: used to enter and manage basic drug information, including drug name, specifications, manufacturer, production date, and expiration date. This information provides accurate data support for drug management. After entering the basic drug information and clicking OK, the drug information management module automatically retrieves the drug instructions from the Internet data and enters the instructions information.
[0027] Drug inventory management module: real-time monitoring of drug inventory to ensure that drugs are sufficient and not excessive to meet clinical needs. At the same time, the drug expiration date is tracked and managed, and expired drugs are handled in a timely manner to ensure drug quality and safety;
[0028] Prescription review module: Automatically review the prescriptions written by doctors, compare them with the instructions of each drug in the drug information management module, identify potential medication problems, including drug interactions and dosage errors, and reduce the risk of medication errors;
[0029] Medication monitoring and evaluation module: monitor and evaluate patients' medication use, promptly identify and handle medication problems, ensure patients' medication safety and effectiveness, collect and report adverse drug reaction information, and assist relevant departments in investigation and analysis;
[0030] Patient information management module: input, store, query and update the patient's medical history, diagnosis, treatment plan information, provide comprehensive patient information for medical staff, and the patient information management module links the hospital information system (HIS) and electronic medical record system (EMR);
[0031] Clinical decision support module: provides functions such as drug use analysis, drug efficacy evaluation, and drug interaction detection, providing a basis for doctors to choose more effective drugs in clinical practice:
[0032] The clinical pharmacy wisdom management method comprises the following steps:
[0033] S1. Data acquisition and preprocessing: Obtain patient medical records from the hospital information system (HIS) and electronic medical record system (EMR) through the patient information management module, including basic information, disease diagnosis, allergy history, examination records, and medication records; preprocess the acquired data, including data cleaning and data integration, to ensure the accuracy and completeness of the data;
[0034] S2. Build a disease recognition model: Use big data and artificial intelligence technology to conduct in-depth learning and analysis of patients' medical records to build a disease recognition model that can automatically identify patients' diseases and provide corresponding medication recommendations;
[0035] S3. Drug management: Based on the output of the disease identification model and combined with drug matching information, a drug purchase list is prepared, and drugs are purchased according to the drug purchase list. The basic information of the purchased drugs is entered into the drug information management module; after the doctor prescribes the prescription, the prescription information enters the prescription review module for review, and the drug is issued after the review is completed and there is no objection. Then the patient's medication situation is tracked in real time, including medication compliance, drug interactions, and possible adverse reactions, and the information is saved in the medication detection and evaluation module; if necessary, the medication plan is adjusted in time to ensure the patient's medication safety. Among them,
[0036] The method also includes communication and collaboration between pharmacists and doctors, as well as patient education and follow-up.
[0037] Regarding the communication and collaboration between pharmacists and doctors, pharmacists can review the medical orders issued by doctors, communicate with doctors in a timely manner and make modification suggestions when problems are found; doctors adjust the treatment plan based on the pharmacist's feedback to ensure the rationality and safety of the medical orders.
[0038] For the patient education and follow-up, medication guidance and health education are provided to patients through the Internet platform; patients are followed up regularly to understand the effects of medication and possible problems; according to the follow-up results, medication regimens are adjusted in a timely manner to improve the patient's treatment effect. Follow-up is conducted in a variety of ways: telephone follow-up, where pharmacists / doctors contact patients by phone to understand the patient's medication and treatment status; patients fill in the form and can follow up with patients via text messages. The follow-up text message contains a link to the clinical pharmacy management system website. After the patient clicks in, he or she can fill in the form according to the prompts.
[0039] The present invention and its implementation methods are described above. Such description is not restrictive. If a person skilled in the art is inspired by it and creatively designs an embodiment similar to the technical solution without departing from the purpose of the present invention, all such embodiments shall fall within the protection scope of the present invention.
Claims
1. A clinical pharmacy intelligent management method based on the Internet, characterized in that: A clinical pharmacy management system is included, wherein the clinical pharmacy management system includes the following modules: Drug information management module: used to enter and manage basic drug information, including drug name, specification, manufacturer, production date, and expiration date. This information provides accurate data support for drug management; Drug inventory management module: real-time monitoring of drug inventory to ensure that drugs are sufficient and not excessive to meet clinical needs. At the same time, the drug expiration date is tracked and managed, and expired drugs are handled in a timely manner to ensure drug quality and safety; Prescription review module: Automated review of prescriptions issued by doctors to identify potential medication problems, including drug interactions and dosage errors, and reduce the risk of medication errors; Medication monitoring and evaluation module: monitor and evaluate patients' medication use, promptly identify and handle medication problems, ensure patients' medication safety and effectiveness, collect and report adverse drug reaction information, and assist relevant departments in investigation and analysis; Patient information management module: input, store, query and update the patient's medical history, diagnosis, treatment plan information, provide comprehensive patient information for medical staff, and the patient information management module links the hospital information system (HIS) and electronic medical record system (EMR); Clinical decision support module: provides functions such as drug use analysis, drug efficacy evaluation, and drug interaction detection, providing a basis for doctors to choose more effective drugs in clinical practice: The clinical pharmacy wisdom management method comprises the following steps: S1. Data acquisition and preprocessing: S101. Obtain the patient's medical record information from the hospital information system (HIS) and the electronic medical record system (EMR) through the patient information management module, including basic information, disease diagnosis, allergy history, examination records, and medication records; S102. Preprocess the acquired data, including data cleaning and data integration, to ensure the accuracy and completeness of the data; S2. Build a disease recognition model: S201. Use big data and artificial intelligence technology to conduct in-depth learning and analysis of patients' medical records and build a disease recognition model that can automatically identify patients' diseases and provide corresponding medication recommendations; S3. Medication management: S301. Formulate a drug purchase table based on the output of the disease recognition model and the drug matching information; S302. Real-time tracking of patients’ medication use, including medication compliance, drug interactions, and possible adverse reactions; S303. If necessary, adjust the medication regimen in a timely manner to ensure the patient's medication safety. The method also includes communication and collaboration between pharmacists and doctors, as well as patient education and follow-up.
2. According to claim 1, a clinical pharmacy intelligent management method based on the Internet is characterized in that: Regarding the communication and collaboration between pharmacists and doctors, pharmacists can review the medical orders issued by doctors, communicate with doctors in a timely manner and make modification suggestions when problems are found; doctors adjust the treatment plan based on the pharmacist's feedback to ensure the rationality and safety of the medical orders.
3. The Internet-based clinical pharmacy intelligent management method according to claim 1, characterized in that: Regarding the patient education and follow-up, medication guidance and health education are provided to patients through the Internet platform; patients are followed up regularly to understand the effects of medication and possible problems; and based on the follow-up results, medication plans are adjusted in a timely manner to improve patient treatment effects.