Medical drug management system and optimization method

Abstract

The invention provides a medical drug management system and an optimization method, and relates to the technical field of medical information management, the system comprises a medicine management platform, a medicine database and an information technology support module; wherein the medicine management platform adopts a modular design and comprises a medicine inventory management module, a patient information management module, a medicine use process management module and a report statistics module, and information interaction among the modules is realized through interfaces; the medicine database is used for storing medicine information, medicine inventory information and patient medication information; the information technology support module comprises a bar code scanning module, an RFID technology module and a cloud computing module. By integrating the advanced information technology and the medical management concept, the medical drug management system which is comprehensive in function, efficient and safe is provided, the management process is optimized, the drug use safety is improved, the management cost is reduced, and personalized drug use suggestions and decision support are provided.

Description

Technical Field

[0001] The present invention relates to the technical field of medical information management, and in particular to a medical drug management system and an optimization method. Background Art

[0002] Medical drug management occupies a core position in the daily operations of medical institutions and is of great significance to both medical institutions and patients.

[0003] The traditional drug management model has problems such as insufficient information transparency, complicated and cumbersome manual operation processes, and lack of effective closed-loop monitoring in the medication process. In addition, with the continuous advancement of medical technology, the number and types of medical drugs have increased dramatically, the speed of drug information update has accelerated, and the forms of diagnosis and treatment have become increasingly diversified. These changes have made the situation of medical drug management more severe. At present, medical drug management has become a complex task in medical institutions that involves a wide range of difficulties and is extremely challenging.

[0004] Therefore, how to use modern information technology to improve the efficiency of drug management, reduce the risk of medication errors, and provide medical institutions with more efficient management tools through digitalization and automation has become a key issue that needs to be solved urgently. Summary of the invention

[0005] To this end, an embodiment of the present invention provides a medical drug management system and optimization method, which are used to solve the problems existing in the prior art of medical drug management, such as information opacity, cumbersome manual operations, uncontrollable medication process, and difficulty in adapting to the rapid growth in the number and types of drugs, rapid information updates, and diversified forms of diagnosis and treatment.

[0006] In order to solve the above problems, an embodiment of the present invention provides a medical drug management system, which includes a medicine management platform, a medicine database and an information technology support module;

[0007] The pharmaceutical management platform adopts a modular design, including a drug inventory management module, a patient information management module, a medication process management module and a report statistics module, and information interaction is achieved between the modules through interfaces; wherein the drug inventory management module is used to monitor the inventory dynamics of various types of drugs in medical institutions and monitor drug inventory information in real time; the patient information management module is used to manage and synchronize basic patient information, and record the patient's medication information, allergy history and disease history by establishing a patient file; the medication process management module is connected to the patient information management module to achieve digital and visualized closed-loop management of the patient's medication process; the report statistics module is used to generate data reports covering inventory statistics reports and medication effect reports;

[0008] The pharmaceutical database is used to store drug information, drug inventory information, patient medication information, adverse drug reactions, pharmacovigilance information, indications, pharmacological effects, drug efficacy evaluation, medication guidelines, drug delivery information, medical records, and medication experience;

[0009] The information technology support module includes a barcode scanning module, an RFID technology module, a cloud computing module, and a robotic automation technology module; the barcode scanning module and the RFID technology module are used to realize rapid identification and tracking of drugs, and are connected to the pharmaceutical database and the pharmaceutical management platform; the cloud computing module is used to provide remote storage and computing services for drug information, and at the same time uses blockchain and QR code technology to prevent counterfeit drugs from entering medical institutions, and realize a full-process drug traceability system; the robotic automation technology module realizes automatic processing of drug procurement and replenishment applications.

[0010] Preferably, the drug inventory management module includes an intelligent inventory warning unit, which uses a mathematical model to adjust the safety inventory level in real time. Once the inventory quantity of a certain drug is lower than a preset safety threshold, the AI ​​triggers an early warning and automatically sends an inventory notification.

[0011] Preferably, the medication process management module includes a personalized medication recommendation unit, a medication plan and reminder unit, a drug interaction detection unit, an adverse reaction monitoring unit, a dynamic efficacy evaluation unit, and a medication reminder unit. The medication reminder unit notifies the patient to take medication on time, reminds the patient of missed medication, or sends medication precautions in a preset manner.

[0012] Preferably, the system also includes a mobile application terminal for medical staff and patients inside and outside the hospital to access the system through the cloud at any time and anywhere; the mobile application terminal includes a medical staff mobile terminal and a patient mobile terminal. Medical staff use the medical staff mobile terminal to view patient information and handle medication procedures, and patients use the patient mobile terminal to query personal medication records, make appointments to pick up medication, and receive medication reminders.

[0013] Preferably, the system also includes a user authority management module for setting different access and operation permissions for different users; medical staff can comprehensively view various types of patient information and perform drug management operations, including inventory query, warehousing and delivery information viewing; patients can view personal information, make appointments for medication and receive medication reminders on the mobile terminal; system administrators are responsible for system setup maintenance, user management and data management, including initialization, upgrades, account authority operations, data backup and recovery, encryption and decryption, import and export.

[0014] Preferably, the system also includes a security mechanism module, which uses data encryption, user authentication and access control technology to ensure the security of drug management data and to protect the privacy and integrity of patient information and drug data.

[0015] The embodiment of the present invention further provides a method for optimizing a medical drug management system, the method being used to optimize the medical drug management system described above, and specifically comprising:

[0016] Establish data analysis and decision-making models, analyze and mine a large amount of medication data, discover potential medication trends and adverse drug reactions, and provide personalized medication recommendations independently;

[0017] Introduce artificial intelligence algorithms, build a drug inventory forecasting model, forecast drug inventory in the pharmaceutical database, and provide a decision-making basis for inventory adjustment;

[0018] Build a medication analysis and early warning model, analyze medication data through algorithms, promptly detect abnormal medication situations and issue alarm prompts.

[0019] Preferably, the data analysis and decision-making model, drug inventory prediction model and medication analysis and early warning model are all constructed based on machine learning or deep learning algorithms, and are continuously optimized and improved as system data accumulates.

[0020] Preferably, the data analysis and decision-making model generates personalized medication recommendations based on the patient's condition, past medication records and health status by using statistical methods and machine learning algorithms.

[0021] Preferably, the medication analysis and early warning model uses an algorithm to monitor medication data in real time and issues alarm prompts for abnormal situations, including improper medication dosage, risk of drug interaction, and patients not taking medication on time.

[0022] It can be seen from the above technical solutions that the present invention has the following beneficial effects:

[0023] (1) The present invention constructs a medical drug management system with scientific and reasonable architecture, concise and efficient through a modularly designed medicine management platform, a large and reliable medicine database, and an information technology support module based on RFID technology and cloud computing. The system has complete functional modules and can achieve accurate management of drug inventory, reliable tracing of the medication process, and real-time updating of patient medication information, thereby optimizing the drug management process, improving drug safety, and reducing management costs.

[0024] (2) The medical drug management system optimization method of the present invention can discover potential drug use trends, adverse reactions and other information by analyzing and mining a large amount of drug use data, and independently provide personalized drug use recommendations. This provides more accurate decision support for medical staff, helps to improve diagnosis and treatment effects and patient satisfaction. At the same time, through the prediction of drug inventory, the system can assist medical staff in making inventory adjustments in advance, avoiding waste or shortage of medical resources due to inventory problems.

[0025] (3) The present invention can timely detect abnormal medication situations and issue alarm prompts through the medication data analysis and early warning function, thereby effectively ensuring the medication safety of patients. In addition, the entire optimization method also significantly improves the operational efficiency of the medical institution's medical drug management system and reduces the medication error rate. This not only provides patients with a better medication experience, but also further enhances the comprehensive competitiveness of medical institutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the implementation cases of the present invention or the technical solutions in the prior art, the following is a brief description of the drawings required for use in the embodiments. By referring to the drawings, the features and advantages of the present invention will be more clearly understood. The drawings are schematic and should not be understood as limiting the present invention in any way. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0027] Figure 1 A block diagram of a medical drug management system optimization system provided in an embodiment;

[0028] Figure 2 This is a flow chart of a medical drug management system optimization method provided in an embodiment. DETAILED DESCRIPTION

[0029] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] Embodiment 1

[0031] In order to solve the problems of opaque information, cumbersome manual operation, uncontrollable medication process, and difficulty in adapting to the rapid growth of the number and types of drugs, rapid information updates, and diversified forms of diagnosis and treatment in the existing TCM drug management technology. Figure 1 As shown, an embodiment of the present invention provides a medical drug management system, which includes a medicine management platform, a medicine database and an information technology support module;

[0032] The pharmaceutical management platform adopts a modular design, including a drug inventory management module, a patient information management module, a medication process management module and a report statistics module. The modules interact with each other through interfaces. The drug inventory management module is used to monitor the inventory dynamics of various drugs in medical institutions and monitor drug inventory information in real time. The patient information management module is used to manage and synchronize basic patient information, and to record the patient's medication information, allergy history and disease history by establishing patient files. The medication process management module is connected to the patient information management module to achieve digital and visual closed-loop management of the patient's medication process. The report statistics module is used to generate data reports covering inventory statistics reports and medication effect reports.

[0033] The pharmaceutical database is used to store drug information, drug inventory information, patient medication information, adverse drug reactions, pharmacovigilance information, indications, pharmacological effects, drug efficacy evaluation, medication guidelines, drug distribution information, medical records, and medication experience;

[0034] The information technology support module includes a barcode scanning module, an RFID technology module, a cloud computing module, and a robotic automation technology module; the barcode scanning module and the RFID technology module are used to realize rapid identification and traceability of drugs, and are connected to the pharmaceutical database and the pharmaceutical management platform; the cloud computing module is used to provide remote storage and computing services for drug information, and at the same time uses blockchain and QR code technology to prevent counterfeit drugs from entering medical institutions and realize a full-process drug traceability system; the robotic automation technology module realizes automatic processing of drug procurement and replenishment applications.

[0035] It can be seen from the above technical scheme that the present invention provides a medical drug management system, which integrates a modularly designed medicine management platform, a comprehensive medicine database, and an advanced information technology support module based on RFID technology and cloud computing. The system realizes accurate inventory monitoring through the drug inventory management module, the patient information management module ensures that the patient data is detailed and updated in real time, the medication process management module realizes digital management of medication, and the report statistics module provides multi-dimensional data reports. At the same time, barcode scanning and RFID technology are used to realize rapid identification and tracking of drugs, and the cloud computing module is responsible for data storage and intelligent analysis. This technical solution not only realizes the accurate management of drug inventory, reliable traceability of medication process, and real-time update of patient medication information, but also mines medication trends through big data analysis, provides personalized medication recommendations, predicts inventory demand, and warns of medication anomalies, thereby optimizing the drug management process, significantly improving medication safety and medical institution operating efficiency, reducing management costs and medication error rates, and bringing patients a safer and more efficient medication experience.

[0036] In this embodiment, the pharmaceutical management platform adopts a highly modular architecture design, covering multiple core components such as the drug inventory management module, the medication process management module, the patient information management module, and the report statistics module. Each module performs its own duties, and through the carefully designed interface, efficient information flow and collaborative operation are achieved, which jointly support the overall function of the platform. The following is a detailed description of each module:

[0037] The drug inventory management module is used to monitor the inventory dynamics of various drugs in medical institutions and monitor drug inventory information in real time. It is the core component of internal drug management in medical institutions. Its management process is as follows:

[0038] 1. Drug storage management

[0039] Barcode scanning module: When the drugs arrive at the warehouse, the barcode scanning module is first enabled to scan the drugs. The module will automatically enter key information such as the batch number, production date, expiration date, etc. of the drugs to ensure the accuracy and traceability of the drug information.

[0040] Weighing module: At the same time, the weighing module will check the weight of the drugs and compare it with the order information to ensure the accuracy of the quantity of the drugs entering the warehouse and further verify the integrity of the drugs.

[0041] Drug classification management: Finally, according to the category of drugs (such as prescription drugs, over-the-counter drugs, special drugs, etc.), the drugs are stored in designated warehouse areas, and the drug information of each area is recorded in detail through the system to facilitate subsequent management and search.

[0042] 2. Real-time inventory management

[0043] Real-time database update: With the help of advanced IoT technology and real-time database update mechanism, the system can grasp the inventory dynamics of drugs in real time, including detailed information such as drug quantity, batch, production date and expiration date.

[0044] Smart inventory warning: The system's built-in smart inventory warning unit plays a key role. When the inventory quantity of a certain drug falls below the preset safety threshold, the warning mechanism will be automatically triggered. Inventory reminders are sent to relevant personnel through various means such as email and SMS to ensure timely replenishment and avoid affecting medical services due to out-of-stock.

[0045] 3. Drug delivery management

[0046] In the drug outbound process, the system strictly follows the first-in, first-out (FIFO) or first-in, first-out (FEFO) strategy. According to the drug's storage time and expiration date, it automatically selects drugs that meet the strategy for outbound operations, thereby ensuring the safety and continuity of patients' medication.

[0047] Barcode scanning verification: Before delivery, use the barcode scanning module to scan and verify the drugs again, and carefully check the delivery drug information with the order information to ensure that the two are consistent, effectively preventing the wrong drugs from being delivered.

[0048] Distribution route optimization: Optimizing the route of drugs from the warehouse to the department is a key link to improve drug distribution efficiency, reduce distribution time and cost, and ensure timely medication for patients. Specifically, it includes:

[0049] Intelligent path planning: Optimizing the drug distribution route from the warehouse to the department is crucial to improving drug distribution efficiency, reducing distribution time and cost, and ensuring timely medication for patients. Specifically, using geographic information systems (GIS) and intelligent algorithms (such as Dijkstra, A*, ant colony algorithms, etc.), we comprehensively consider multiple factors such as drug demand, department location, and internal traffic conditions in the hospital to dynamically calculate and optimize the distribution path. In addition, the system can adjust the distribution plan in real time according to dynamic factors such as changes in internal hospital traffic and elevator usage. The intelligent algorithm used in this embodiment is used for path planning, and its in-hospital drug path design formula is:

[0050] f(x)=w1·T(x)-w2·E(x)+w3·U(x)-w4·Q(x)+w5·P(x)+w6·N(x);

[0051] Among them, f(x) represents a comprehensive index value used to evaluate the quality of the in-hospital drug logistics path. It is a function expression of multiple key factors in the drug distribution process (such as total distribution time T(x), distribution efficiency E(x), drug urgency U(x), total distribution volume Q(x), personnel load balance P(x), and number of distributions N(x)). T(x) is the total distribution time, and the calculation formula is E(x) is the distribution efficiency, which is the ratio of the number of completed distributions to the time. The calculation formula is: U(x) is the urgency of the drug, reflecting the urgency of the drug in clinical treatment. The calculation formula is: (where t i is the maximum acceptable time for drug i, q i is the distribution volume, n represents the number of drug types involved in the calculation), and through the standardized formula Map it to the uniform interval [0,1](U min is the minimum value of all drug urgency levels, U max is the maximum value); Q(x) is the total delivery volume, that is, the total number of drugs involved in a delivery task, and the calculation formula is P(x) is the personnel load balance, which is used to measure the uniformity of the delivery personnel's load during the delivery process. The calculation formula is: (Where L j is the load of the j-th deliveryman, is the average load, m is the total number of couriers); N(x) is the number of deliveries, which records the number of delivery rounds within a certain period of time or in a specific delivery task. The calculation formula is N(x) = k (k is a value representing the specific number of deliveries), and is standardized by the formula Mapped to the [0,1] interval (N min Represents the minimum possible value of the total number of deliveries, N max represents the maximum value). w1,w2,w3,w4,w5,w6 are the weights of each factor and satisfy These weight coefficients are adjusted according to actual needs and are used to determine the relative importance of each factor in path selection.

[0052] Use IoT technologies (such as RFID, GPS, etc.) to track the location of delivery personnel and drugs in real time to ensure that the delivery process is transparent and controllable. Monitor the delivery progress and promptly detect and handle abnormal situations, such as delivery timeouts and delivery errors. Automatically assign delivery tasks based on factors such as the current location and task volume of the delivery personnel to ensure the rationality and efficiency of task allocation. Set task priorities to ensure that emergency drugs are delivered first to meet clinical needs. Collect and analyze delivery data to evaluate the effectiveness of route planning, task allocation, delivery efficiency, etc. Based on the analysis results, continuously optimize route planning, task allocation strategies, etc. to improve delivery efficiency and service quality.

[0053] 4. Application of Computer Vision Module

[0054] Inventory counting: During inventory counting, the computer vision module is regularly used to capture images of medicines in the warehouse through cameras, and then compare them with the medicine data stored in the system to ensure the accuracy of inventory data and promptly detect abnormalities in the quantity or status of medicines.

[0055] Drug status monitoring: The computer vision module also has the function of monitoring the status of drugs. It can monitor in real time whether the drug packaging is intact, whether it is expired, etc. Once a potential problem is found, it will promptly notify relevant personnel to deal with it, effectively ensuring the quality of the drug.

[0056] 5. Predictive management of drugs

[0057] Data analysis and forecasting: Use the drug sales data, inventory data and other information collected by the system to conduct data analysis and forecasting, predict the demand for drugs in the future, and provide a scientific basis for purchasing decisions. The drug inventory forecasting formula is:

[0058]

[0059] in represents the predicted value of drug demand at future time t+k, f represents the prediction model, and D t-1 represents the demand for medicines in the past t-1 period, S t-1 represents the inventory data for the past t-1 period, H t-1 represents the sales data for the past t-1 period, C t-1 represents the seasonal fluctuation index in the past t-1 period, V t-1 represents the holiday effect in the past t-1 period. At the same time, the actual demand for drugs D t By the trend component T t (reflecting the long-term trend of demand, such as growth or decline), seasonal component S t (used to capture cyclical fluctuations in drug demand, related to time periods such as seasons, months or quarters) and the random component R t (including abnormal fluctuations or short-term influencing factors), namely D t =T t +S t +R t .

[0060] Optimize inventory management: Based on the forecast results, the system can scientifically and rationally adjust the inventory of drugs, effectively avoid inventory backlogs or shortages, improve inventory turnover, reduce inventory management costs, and ensure the timeliness and rationality of drug supply.

[0061] 6. Drug warehouse management

[0062] Environmental monitoring: Real-time monitoring of environmental parameters such as temperature and humidity in the warehouse to ensure that the drug storage environment remains stable and meets the requirements for drug storage. For example, for certain drugs that are sensitive to temperature and humidity, strict control of environmental conditions is required to prevent the drugs from deteriorating and becoming ineffective.

[0063] Safety management: Strengthen the safety management of the warehouse, take a series of necessary measures such as fire prevention, theft prevention, moisture prevention, etc. to ensure the safety of drugs during storage and avoid drug loss or quality problems due to accidents.

[0064] In summary, by integrating technical means such as weighing modules, barcode scanning modules, computer vision modules, and combining management strategies such as drug classification management, intelligent inventory warning, and drug forecasting, an efficient, accurate, and safe drug management process can be built to provide strong support for medical institutions.

[0065] Patient Information Management Module: This module is dedicated to building a comprehensive and accurate patient health record, covering key information such as allergy history, medical history, and previous medication records. The patient information management module is a comprehensive system that integrates information collection, secure storage, convenient access, and patient self-health management. The detailed management process is as follows:

[0066] 1. Information collection and filing

[0067] Initial information collection: When a patient first visits a doctor or registers to use the medical system, the system collects the patient's key health information in a variety of ways, including allergy history, medical history, previous medication records, etc. This can be done by filling out questionnaires, face-to-face interviews, or automatically importing existing medical records to ensure the comprehensiveness and accuracy of information collection.

[0068] Information verification and improvement: The collected information needs to be strictly reviewed and verified by medical staff to ensure the accuracy and completeness of the information. During the patient's subsequent medical treatment, the system will continue to update and improve their health records to ensure that the file information keeps pace with the times and truly reflects the patient's health status.

[0069] 2. Encrypted storage and access control

[0070] Encrypted storage: Use advanced encryption technology to encrypt and store patient health records to ensure the security of data during transmission and storage, and prevent patient information from being illegally obtained or tampered with.

[0071] Access control: Implement strict access rights management measures. Only authorized medical staff can access patients' sensitive information. At the same time, detailed logs are recorded for each access for subsequent tracking and auditing to ensure the legality and security of information use.

[0072] 3. Use of medical staff information

[0073] Medication Reference: When medical staff prescribe or develop treatment plans, they can quickly check the patient's health records to fully understand the patient's allergy history, medical history and previous medication use, so as to make more accurate and safe medical decisions and avoid medication errors or improper treatment due to incomplete information.

[0074] Information sharing: When cross-departmental or multidisciplinary collaboration is required, efficient sharing of patient information can be achieved through a secure internal system, breaking down information barriers, improving diagnosis and treatment efficiency and quality, and providing patients with more comprehensive and high-quality medical services.

[0075] 4. Patient mobile terminal connection

[0076] The patient's health record is seamlessly connected with the dedicated APP or mini program to ensure real-time synchronization and update of patient information. Patients can view personal medication records, prescription details, appointment registration and other information anytime and anywhere through the mobile terminal, which allows them to quickly and easily master their medical information and enhance their awareness and ability of self-health management.

[0077] APPs or mini-programs can also provide practical functions such as health reminders and medication guidance. According to the patient's medication plan and health status, they can promptly remind patients to take medication on time, pay attention to medication contraindications, etc., effectively improving patients' medication compliance and treatment effects.

[0078] 5. Information maintenance and update

[0079] Regular review: Regularly review and update the patient's health records to ensure the timeliness and accuracy of the information. For example, regularly verify the patient's allergy history, disease progression and other information, and update the file content in a timely manner.

[0080] Patient feedback: Patients are encouraged to provide feedback on medication experience, changes in condition, and other information through mobile devices so that medical staff can understand the patient's condition in a timely manner, adjust treatment plans based on feedback, and improve the pertinence and effectiveness of medical services.

[0081] 6. Privacy Protection and Compliance

[0082] Privacy Policy: Clearly inform patients of the privacy policy regarding information collection, storage and usage to ensure their right to know and allow them to confidently provide personal information.

[0083] Compliance check: Conduct compliance checks regularly to ensure that the patient information management module strictly complies with the requirements of relevant laws and regulations, protect the legitimate rights and interests of patients, and avoid legal risks caused by illegal operations.

[0084] Through the above management process, the patient information management module can build a comprehensive, accurate and secure patient health record system, provide strong decision-making support for medical staff, and enhance patients' self-health management capabilities and experience.

[0085] Medication process management module: As the central part of the medical management system, this module is closely connected with the patient information management module to achieve comprehensive digital and intelligent management of the patient's medication process. It covers multiple functional units such as personalized medication recommendation unit, medication plan and reminder unit, drug interaction detection unit, adverse reaction monitoring unit, dynamic efficacy evaluation unit and medication reminder unit. The medication reminder unit notifies patients to take medication on time, reminds them of missed medications, or sends medication precautions in a preset way. Specifically, the medication process management module can not only record and display the patient's medication history and current prescription details in detail, but also has powerful medication guidance and reminder functions. Using big data analysis technology, this module can accurately predict patients' medication needs, and send personalized medication reminders to patients through mobile applications, SMS push and other means, including medication time, dosage, precautions, etc., effectively promoting patients to follow the doctor's advice and improve the treatment effect.

[0086] Report statistics module: This module uses data mining and visualization technology to automatically generate various types of data reports covering inventory statistics, drug effect analysis, etc. The report content is detailed and intuitive, and clearly presents data information in the form of charts, tables, etc., providing data support for scientific decision-making for the management of medical institutions. Through in-depth analysis of these data reports, medical institutions can accurately grasp the trend of drug consumption, understand the frequency of use of different drugs, changes in dosage, etc., and provide a basis for the formulation of drug procurement plans; evaluate the effect of medication, judge the effectiveness of treatment plans, discover possible problems and make timely improvements; optimize drug procurement strategies, reasonably arrange procurement quantity and time according to inventory conditions and consumption trends, avoid drug backlogs or shortages, and achieve reasonable allocation and efficient use of resources, thereby improving the quality and efficiency of medical services.

[0087] By integrating multiple advanced technologies, the pharmaceutical management platform has achieved comprehensive upgrades in drug management, patient services, data analysis, and other aspects, providing medical institutions with efficient, intelligent, and safe pharmaceutical management solutions.

[0088] In this embodiment, the pharmaceutical database is the core component of the medical drug management system, and is responsible for storing detailed drug information, real-time inventory status, and accurate patient medication records. The database not only covers the basic properties of drugs (such as name, specification, manufacturer, expiration date, etc.), but also records in detail the real-time changes in inventory and the medication history of individual patients, providing a solid data foundation for pharmaceutical management and patient services.

[0089] In order to ensure the security and integrity of data, the pharmaceutical database adopts the industry's leading high-security storage technology. This includes but is not limited to encrypted storage technology, which prevents unauthorized access and leakage by performing high-intensity encryption on sensitive data; at the same time, data integrity verification mechanisms such as hash verification and digital signatures are also used to ensure that data is not tampered with during transmission and storage, thereby fully guaranteeing the authenticity and reliability of the data. In addition, the database system is also equipped with advanced backup and recovery strategies to deal with possible hardware failures or human errors, ensuring the long-term availability of data.

[0090] By building this huge and reliable pharmaceutical database, the system realizes the full life cycle management of drugs from procurement to sales.

[0091] The pharmaceutical database, with its highly secure, comprehensive and detailed data storage capabilities and full life cycle management features, provides a solid foundation for the pharmaceutical management system and promotes the accurate management and efficient use of pharmaceutical information.

[0092] In this embodiment, the information technology support module integrates the barcode scanning module, computer vision module, weighing module, RFID technology module and cloud computing module, which together constitute the technical foundation of the medical drug management system. These modules perform their respective functions and work together to achieve accurate identification, efficient tracking and intelligent management of drug information.

[0093] Barcode scanning modules and RFID technology modules play a key role in the rapid identification and tracking of drugs. Specifically, each box or bottle of medicine is equipped with a unique RFID tag, which stores detailed information about the drug, including but not limited to the drug name, specifications, batch number, expiration date, and manufacturer. In each link of drug storage, delivery, inventory, and distribution, you only need to use a dedicated RFID reader to scan the label to quickly read and verify the drug information and realize real-time monitoring of its flow and storage. The application of this technology not only improves the accuracy and efficiency of drug management, but also ensures the traceability of drug information, providing a strong guarantee for drug quality control and patient medication safety.

[0094] At the same time, the data from RFID tags and barcode scanning technology is seamlessly integrated into the pharmaceutical database and pharmaceutical management platform, achieving real-time synchronization and sharing of information. This integration mechanism ensures that the system can instantly reflect the latest status of drugs and provide comprehensive decision-making support for management.

[0095] As the data processing center of the entire system, the cloud computing module provides powerful data storage and analysis capabilities. It uses distributed storage and parallel computing technology to achieve efficient storage and rapid processing of massive data. The cloud computing module is not only responsible for storing all the data generated by the system, but also analyzes and predicts drug sales trends, inventory status, patient medication behavior, etc. through advanced algorithms such as data mining and machine learning, providing a scientific basis for the intelligent decision-making of the pharmaceutical management platform.

[0096] The application of these advanced technologies not only improves the intelligence and automation level of medical drug management systems, but also significantly reduces the errors and risks caused by human operations. By integrating cutting-edge technologies such as barcode scanning, RFID technology and cloud computing, the system can achieve comprehensive, accurate and real-time management of drug information, providing medical institutions and patients with a safer, more efficient and convenient medical service experience.

[0097] In addition, in the medical drug management system of the present invention, a mobile application terminal is introduced, and the terminal is designed to realize real-time and remote access to system resources by medical staff and patients, which greatly improves the availability and convenience of the system.

[0098] Specifically, the mobile application terminal is divided into two modules: the medical staff mobile terminal and the patient mobile terminal. Through their exclusive mobile terminal applications, medical staff can easily access detailed patient information, including but not limited to allergy history, disease diagnosis, current treatment plan, etc., providing strong support for making quick and accurate medical decisions. At the same time, the mobile terminal also supports the comprehensive management of the medication process. From prescription issuance, drug review to issuance confirmation, medical staff can complete each link of the operation online, which significantly improves work efficiency and accuracy and reduces human errors.

[0099] For patients, the patient mobile application provides personalized health management services. Patients can check their personal medication records at any time, clearly understand past and current medication situations, and easily master their own treatment progress. In addition, patients can also conveniently make appointments for medication pick-up times through the application, avoiding the inconvenience of traditional waiting in line, saving time and energy. The medication reminder function integrated in the patient mobile terminal uses intelligent algorithms to predict patients' medication needs, and promptly reminds patients to take medication on time and pay attention to medication contraindications in the form of push notifications and text messages, effectively improving patients' medication compliance and treatment effects, and helping patients better manage their health conditions.

[0100] To ensure the security of the system, the present invention also designs a user authority management module and a security mechanism module. The user authority management module sets different access rights and operation ranges according to user roles (such as medical staff, patients, administrators, etc.), effectively preventing information leakage and misoperation. The security mechanism module adopts advanced encryption technology and firewall strategies to fully protect the privacy and integrity of patient information and drug data, providing an indestructible security barrier for the system.

[0101] By integrating advanced technologies such as mobile application terminals, user authority management and security mechanisms, the present invention not only realizes the instant sharing and efficient management of medical information, but also greatly improves the quality and efficiency of medical services, bringing unprecedented convenience and safety experience to patients and medical staff.

[0102] Embodiment 2

[0103] like Figure 2 As shown, the present invention provides a medical drug management system optimization method, which is used to optimize the medical drug management system of the above-mentioned embodiment 1, and specifically includes:

[0104] Establish data analysis and decision-making models, analyze and mine a large amount of medication data, discover potential medication trends and adverse drug reactions, and provide personalized medication recommendations independently;

[0105] Introduce artificial intelligence algorithms, build a drug inventory forecasting model, forecast drug inventory in the pharmaceutical database, and provide a decision-making basis for inventory adjustment;

[0106] Build a medication analysis and early warning model, analyze medication data through algorithms, promptly detect abnormal medication situations and issue alarm prompts.

[0107] In addition, data analysis and decision-making models, drug inventory forecasting models, and medication analysis and early warning models are all built based on machine learning or deep learning algorithms, and are continuously optimized and improved as system data accumulates to improve the intelligence level of medication management and medication safety. The data analysis and decision-making model uses statistical methods and machine learning algorithms to generate personalized medication recommendations based on the patient's condition, past medication records, and health status. The medication analysis and early warning model uses algorithms to monitor medication data in real time and alarm for abnormal situations, including improper medication dosage, drug interaction risks, and patients not taking medication on time.

[0108] Specifically, the present invention first constructs a data analysis and decision-making model, which deeply mines and analyzes massive amounts of medication data, aiming to reveal potential trends in medication and identify patterns of adverse drug reactions. By using advanced statistical methods and machine learning algorithms, the model can autonomously generate personalized medication recommendations based on the patient's specific condition, past medication records, and current health status, providing medical staff with more accurate and scientific medication guidance, thereby optimizing treatment plans and improving treatment outcomes.

[0109] Secondly, we introduced advanced artificial intelligence algorithms to build a drug inventory forecasting model. This model predicts the demand and consumption trends of various drugs in the future through deep learning and analysis of historical inventory data in the pharmaceutical database. This forecasting capability provides a forward-looking decision-making basis for the inventory management department, enabling them to plan inventory adjustment strategies in advance, effectively avoid drug shortages or surpluses, ensure the stability and timeliness of drug supply, and reduce inventory costs and improve operational efficiency.

[0110] Finally, a medication analysis and early warning model was designed, which uses complex algorithms to monitor and analyze medication data in real time, aiming to promptly detect and warn of potential medication anomalies. These anomalies may include improper medication dosage, risk of drug interactions, and patients not taking medication on time. Once the model detects an anomaly, it will immediately trigger an alarm mechanism to alert relevant medical staff through system notifications, text messages or emails, so that they can quickly take intervention measures to ensure patient medication safety and reduce the occurrence of medication errors.

[0111] In summary, the optimization method of the present invention not only enhances the intelligence level of the medical drug management system, but also significantly improves the efficiency and safety of drug management by comprehensively using advanced technologies such as data analysis, artificial intelligence and early warning mechanisms, providing patients with a better quality and more personalized medical service experience.

[0112] A medical drug management system optimization method of this embodiment is used to optimize the aforementioned medical drug management system. Therefore, the specific implementation method of the medical drug management system optimization method can be found in the embodiment section of the medical drug management system above. In order to avoid redundancy, it will not be repeated here.

[0113] Embodiment 3

[0114] An embodiment of the present invention provides an electronic device, which includes a processor, a memory and a bus system. The processor and the memory are connected through the bus system. The memory is used to store instructions, and the processor is used to execute the instructions stored in the memory. It monitors the temperature and humidity, light of the warehouse in real time, especially the storage area of ​​cold chain drugs, and automatically adjusts air conditioners, humidifiers and other equipment according to preset conditions to realize the above-mentioned medical drug management system optimization method.

[0115] Specifically, various IoT sensors are deployed inside the warehouse, especially in the storage area of ​​cold chain drugs, including temperature and humidity sensors, light sensors, etc. These sensors are connected to the processors of electronic devices wirelessly or wiredly to form a complete IoT sensor network.

[0116] The temperature and humidity sensors monitor the temperature and humidity in the warehouse in real time to ensure that the drugs are stored under appropriate conditions. The light sensor is used to monitor the light intensity in the warehouse to prevent the drugs from being damaged by improper lighting. All sensor data is transmitted to the processor in real time through the bus system for analysis and processing.

[0117] The processor automatically determines whether the warehouse environment meets the drug storage requirements based on preset conditions (such as temperature range, humidity range, light intensity, etc.) and sensor data. If it does not meet the requirements, the processor will send instructions to environmental conditioning equipment such as air conditioners and humidifiers to automatically adjust the warehouse environment to a suitable state. For example, when the warehouse temperature is too high, the processor will instruct the air conditioner to lower the temperature; when the warehouse humidity is too low, it will instruct the humidifier to increase the humidity.

[0118] In summary, the electronic device proposed in the embodiment of the present invention realizes real-time monitoring and intelligent adjustment of the warehouse environment by integrating the Internet of Things technology and the sensor network, thereby significantly optimizing the medical drug management system. This innovative solution not only improves the quality of drug storage, reduces energy consumption and costs, but also improves management efficiency, bringing a new revolution to medical drug management.

Claims

1. A medical drug management system, characterized in that: Including medicine management platform, medicine database and information technology support modules; The pharmaceutical management platform adopts a modular design, including a drug inventory management module, a patient information management module, a medication process management module and a report statistics module, and information interaction is achieved between the modules through interfaces; wherein the drug inventory management module is used to monitor the inventory dynamics of various types of drugs in medical institutions and monitor drug inventory information in real time; the patient information management module is used to manage and synchronize basic patient information, and record the patient's medication information, allergy history and disease history by establishing a patient file; the medication process management module is connected to the patient information management module to achieve digital and visualized closed-loop management of the patient's medication process; the report statistics module is used to generate data reports covering inventory statistics reports and medication effect reports; The pharmaceutical database is used to store drug information, drug inventory information, patient medication information, adverse drug reactions, pharmacovigilance information, indications, pharmacological effects, drug efficacy evaluation, medication guidelines, drug delivery information, medical records, and medication experience; The information technology support module includes a barcode scanning module, an RFID technology module, a cloud computing module, and a robotic automation technology module; the barcode scanning module and the RFID technology module are used to realize rapid identification and traceability of drugs, and are connected to the pharmaceutical database and the pharmaceutical management platform; the cloud computing module is used to provide remote storage and computing services for drug information, and at the same time uses blockchain and QR code technology to prevent counterfeit drugs from entering medical institutions, and realize a full-process drug traceability system; the robotic automation technology module realizes automatic processing of drug procurement and replenishment applications.

2. The medical drug management system according to claim 1, characterized in that: The drug inventory management module includes an intelligent inventory warning unit, which uses a mathematical model to adjust the safety inventory level in real time. Once the inventory quantity of a certain drug falls below a preset safety threshold, the AI ​​triggers an early warning and automatically sends an inventory notification.

3. The medical drug management system according to claim 1, characterized in that: The medication process management module includes a personalized medication recommendation unit, a medication plan and reminder unit, a drug interaction detection unit, an adverse reaction monitoring unit, a dynamic efficacy evaluation unit, and a medication reminder unit. The medication reminder unit notifies patients to take medication on time, reminds them of missed medications, or sends medication precautions in a preset manner.

4. The medical drug management system according to claim 1, characterized in that: The system also includes a mobile application terminal for medical staff and patients inside and outside the hospital to access the system through the cloud; the mobile application terminal includes a medical staff mobile terminal and a patient mobile terminal. Medical staff use the medical staff mobile terminal to view patient information and handle medication procedures, and patients use the patient mobile terminal to query personal medication records, make appointments to pick up medication, and receive medication reminders.

5. The medical drug management system according to claim 1, characterized in that: The system also includes a user rights management module for setting different access and operation rights for different users; medical staff can fully view all kinds of patient information and perform drug management operations, including inventory query, inbound and outbound storage and delivery information viewing; Patients can view their personal information, make appointments to pick up medications, and receive medication reminders on mobile devices; system administrators are responsible for system setup and maintenance, user management, and data management, including initialization, upgrades, account permission operations, data backup and recovery, encryption and decryption, and import and export.

6. The medical drug management system according to claim 1, characterized in that: The system also includes a security mechanism module that uses data encryption, user authentication and access control technology to ensure the security of drug management data and to protect the privacy and integrity of patient information and drug data.

7. A method for optimizing a medical drug management system, characterized in that: The optimization method is used to optimize the medical drug management system according to any one of claims 1 to 6, and specifically comprises: Establish data analysis and decision-making models, analyze and mine a large amount of medication data, discover potential medication trends and adverse drug reactions, and provide personalized medication recommendations independently; Introduce artificial intelligence algorithms, build a drug inventory forecasting model, forecast drug inventory in the pharmaceutical database, and provide a decision-making basis for inventory adjustment; Build a medication analysis and early warning model, analyze medication data through algorithms, promptly detect abnormal medication situations and issue alarm prompts.

8. The method for optimizing a medical drug management system according to claim 7, characterized in that: The data analysis and decision-making model, drug inventory prediction model and medication analysis and early warning model are all constructed based on machine learning or deep learning algorithms, and are continuously optimized and improved as system data accumulates.

9. The method for optimizing a medical drug management system according to claim 7, characterized in that: The data analysis and decision-making model generates personalized medication recommendations based on the patient's condition, past medication records and health status by using statistical methods and machine learning algorithms.

10. The method for optimizing a medical drug management system according to claim 7, characterized in that: The medication analysis and early warning model uses an algorithm to monitor medication data in real time and issue an alarm for abnormal situations, including improper medication dosage, risk of drug interaction, and patients not taking medication on time.

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