Regional drug management system

Abstract

The invention discloses a regional medicine management system, and aims to optimize medicine inventory management, use monitoring and distribution processes and ensure timeliness and safety of medicine supply. The system covers a plurality of modules of inventory acquisition and management, use condition acquisition, predicted use, distribution management and coordination and the like, predicts a drug consumption trend through an intelligent algorithm, and realizes accurate replenishment and efficient distribution. Meanwhile, a medicine locking and auditing mechanism is arranged in the system, and reasonable distribution of the shortage medicine is guaranteed. In addition, the system further comprises a disease treatment knowledge graph module, an intelligent treatment scheme recommendation module and the like, and scientific treatment decision support is provided for doctors. The system also has macroscopic distribution and disease development trend analysis functions to deal with emergencies such as sudden epidemic situations and ensure efficient allocation of drug resources. On the whole, the system significantly improves the efficiency and level of regional drug management through an informatization means.

Description

Technical Field

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

[0002] In today's complex and ever-changing healthcare environment, drug management faces numerous challenges. With the continuous advancement of medical technology and the increasing diversity of patient needs, the types and quantities of drugs have increased dramatically, placing higher demands on drug management systems. However, traditional drug management models have many limitations, as reflected in the following aspects:

[0003] Inventory information asymmetry:

[0004] Inventory information between hospitals, drug manufacturers, and distribution centers is often isolated and lacks an effective sharing mechanism. This leads to the inability to rationally allocate drug resources, resulting in drug shortages in some hospitals and backlogs in others.

[0005] Delayed drug preparation:

[0006] Due to poor information flow, when a hospital runs out of medicine, it's difficult to promptly dispatch medication from other hospitals or distribution centers, hindering timely patient treatment. Furthermore, the lack of intelligent optimization in the distribution process leads to low delivery efficiency and increased costs.

[0007] Medication decisions lack scientific basis:

[0008] When choosing treatments and medications, doctors often rely on personal experience or limited information resources, lacking a comprehensive disease treatment knowledge base and the support of intelligent recommendation systems. This can lead to inaccurate treatment plans and compromise treatment outcomes.

[0009] Insufficient drug resistance monitoring and treatment efficacy assessment:

[0010] Insufficient attention has been paid to the development of bacterial or viral resistance to drugs, leading to the gradual weakening of the effectiveness of some drugs during treatment. Furthermore, the evaluation of treatment effectiveness lacks systematic and scientific analysis, making it difficult to provide a solid basis for adjusting treatment plans.

[0011] Inadequate emergency response mechanism:

[0012] When faced with emergencies such as drug shortages and quality accidents, there is a lack of a rapid and effective emergency response mechanism, making it impossible to deal with them in a timely manner and reduce losses.

[0013] In summary, the traditional drug management mode has been unable to meet the needs of the modern medical system. Therefore, it is particularly important to develop a regional drug management system that can monitor drug inventory in real time, intelligently predict drug demand, optimize drug distribution processes, and provide scientific treatment decision support. This system will help improve the efficiency and quality of drug management, ensure the rational allocation and effective use of drug resources, and better protect patient medication safety and treatment effectiveness. SUMMARY

[0014] A regional drug management system, characterized in that the system comprises:

[0015] Inventory acquisition and management module: for real-time acquisition and updating of current hospital, regional drug comprehensive management center and drug manufacturer inventory information, while ensuring the accuracy and privacy of inventory data; the inventory acquisition and management

[0016] Module is further subdivided into:

[0017] a. Local inventory query sub-module, focusing on querying and updating the drug inventory status within the hospital;

[0018] b. Regional drug comprehensive management center inventory query sub-module, for querying and updating the drug inventory information of the region or other medical institutions, when the drug is sufficient, only the "sufficient" state is displayed, without showing the specific quantity, to promote resource

[0019] Sharing while protecting privacy;

[0020] c. Manufacturer inventory query sub-module, for querying and updating the inventory status, inventory information and production

[0021] Dynamic of drug manufacturers, providing necessary inventory information under the premise of protecting the privacy and security of manufacturers;

[0022] Usage acquisition module: configured to continuously monitor and record the specific usage of drugs in the current hospital, including usage quantity, usage frequency and usage trend analysis;

[0023] Predicted use module: based on inventory information and usage data, using intelligent algorithms to determine the predicted availability of drugs

[0024] Use time;

[0025] Specific implementation steps:

[0026] Data collection and integration

[0027] Inventory information: obtain the inventory quantity of the current hospital, regional drug comprehensive management center and drug manufacturer from the inventory acquisition and management module;

[0028] Usage Data: Collecting specific usage data of the medicine in the current hospital from the usage acquisition module, including the quantity used, frequency of use, and trend analysis of usage.

[0029] Smart Algorithm Application

[0030] Algorithm Selection: Using time series analysis, machine learning algorithms (such as regression analysis, neural networks, etc.), or other advanced prediction models.

[0031] Model Training: Using historical inventory data and usage data, the selected smart algorithm is trained to learn and capture the regularity of medicine consumption.

[0032] Estimated Available Time Calculation

[0033] Current Inventory Assessment: Based on the latest inventory quantity, assess the total amount of available medicine.

[0034] Future Demand Forecast: According to the usage trend in the usage data, predict the amount of medicine needed in the future (such as a week, a month, etc.).

[0035] Time Calculation: Combine the current inventory and future demand to calculate the estimated available time of the medicine. For example, if the current inventory is 1000 units and the average daily consumption is predicted to be 100 units in the future, the estimated available time is 10 days.

[0036] Result Output and Alarm

[0037] Result Display: Display the estimated available time in an intuitive way (such as charts, dashboards, etc.) to physicians or relevant management personnel.

[0038] Alarm Mechanism: When the estimated available time approaches or falls below the preset safety threshold (such as 5 days), automatically trigger the alarm mechanism and send reminder information to relevant personnel through SMS, email or system notification. The reminder information should include the medicine name, estimated depletion time, current inventory quantity and suggested measures (such as applying for replenishment, adjusting medication regimen, etc.).

[0039] Notification Module: When the estimated available time of the medicine approaches or falls below the preset safety threshold, automatically send reminder information to physicians or relevant management personnel to ensure the timeliness of medicine supply.

[0040] Further, characterized in that the system further comprises:

[0041] The distribution management and coordination module is configured to obtain and update the inventory details of the regional medicine integrated management center, the time of expected distribution to the hospital, and the distribution status, and specifically configured to perform real-time distribution monitoring, intelligent distribution optimization, abnormality processing, and distribution feedback and improvement, to ensure timely and safe delivery of medicines; the distribution management and coordination module further comprises:

[0042] The real-time distribution monitoring submodule is configured to update the distribution center information in real time, to ensure the accuracy and timeliness of the information;

[0043] The intelligent distribution optimization submodule is configured to use advanced algorithms and models to optimize the distribution route, sequence, and vehicle allocation, to improve the distribution efficiency;

[0044] The abnormality processing mechanism submodule is configured to monitor and identify abnormal situations in the distribution process in real time, and automatically trigger the emergency handling process, to reduce losses;

[0045] The distribution feedback and improvement submodule is configured to collect user feedback and data, evaluate the distribution efficiency and service quality, and make improvements.

[0046] The distribution management module can automatically or manually trigger order submission to the regional medicine integrated management center according to the local inventory situation and expected use demand of the hospital, to realize efficient management of the distribution process.

[0047] Further, the system comprises a medicine locking and auditing module, which is specifically configured as follows:

[0048] The inventory shortage monitoring unit is configured to monitor and analyze the inventory data of the hospital and the regional medicine integrated management center in real time, and automatically trigger the medicine locking early warning mechanism when the inventory level falls below the preset low inventory threshold;

[0049] The intelligent locking operation unit is configured to automatically lock the remaining required amount of medicines in advance if the inventory is insufficient, to ensure the medication needs of patients with previously issued medical orders; and allows physicians or relevant management personnel to select the medicines and their quantities to be locked through the system interface for each patient or in batches when issuing medicine orders, and submit a locking request; the built-in intelligent auditing function automatically checks the matching of the locking request and the disease treatment course, to ensure the rationality of the locking operation;

[0050] The specific implementation method of the intelligent locking operation unit comprises the following steps:

[0051] Advance locking of medicines for previously issued medical orders:

[0052] For patients who have already issued medicine orders, the system automatically locks the remaining required amount of medicines in advance according to the order information, to ensure that these patients can continue to take medicines;

[0053] Lock request submission:

[0054] Allow physicians or relevant management personnel to select the drugs and their quantities to be locked for each patient or in batches when prescribing medical orders through the system interface, and submit a lock request;

[0055] Intelligent audit and matching check:

[0056] The system has an intelligent audit function built-in, which automatically checks the matching of the lock request and the disease treatment course to ensure the rationality of the lock operation. Specifically, it includes:

[0057] Verify whether the drug selection conforms to the disease treatment guidelines or standards;

[0058] Check whether the quantity requested matches the patient's treatment needs to avoid over-locking;

[0059] If the request is reasonable, the system automatically approves the lock request; if it is not reasonable, the system prompts the physician to resubmit or adjust the request;

[0060] Inventory update and lock execution:

[0061] After the lock request is approved, the system immediately updates the inventory information, deducting the locked drug quantity from the available inventory to ensure that other physicians or management personnel cannot repeatedly lock the same quantity of drugs;

[0062] At the same time, the system generates a lock record, detailing the relevant information of the lock operation;

[0063] Lock information record and management:

[0064] The system is responsible for recording detailed information of each drug lock, including lock time, drug name, quantity, lock reason, locking physician, and medical order information corresponding to the locked drug, etc.

[0065] These records provide data support for subsequent analysis, audit, and inventory management.

[0066] Lock information record and management unit: responsible for recording detailed information of each drug lock, including lock time, drug name, quantity, lock reason, locking physician, and medical order information corresponding to the locked drug, providing data support for subsequent analysis and audit.

[0067] Further, it is characterized in that the system further extends to include:

[0068] Disease treatment knowledge graph module: used to build and maintain a detailed disease diagnosis and treatment plan knowledge base, providing scientific basis and knowledge support for doctors to select appropriate drugs during treatment;

[0069] Intelligent treatment recommendation module: using advanced algorithm technology, according to the patient's disease diagnosis results and inspection results, quickly recommend the optimal or recommended treatment plan, to improve the accuracy and efficiency of treatment drug selection; At the same time, when the patient needs drug treatment due to a certain disease, the system can provide the drugs that the current hospital, regional drug comprehensive management center and drug manufacturers can provide for medical staff and patients to choose, and at the same time provide the drug efficacy evaluation, advantages and disadvantages, price and medical insurance reimbursement of different drugs to assist decision-making;

[0070] The intelligent treatment recommendation module, the specific implementation method of the module includes the following steps:

[0071] Data collection and integration:

[0072] Obtain detailed information about the disease from the disease treatment knowledge graph module, including etiology, symptoms, diagnostic criteria and treatment plan, etc.

[0073] From the current hospital, regional drug comprehensive management center and drug manufacturers' inventory acquisition and management module, real-time acquisition of drug inventory quantity, variety, drug efficacy evaluation, advantages and disadvantages, price and medical insurance reimbursement, etc.

[0074] From the use situation acquisition module, collect and analyze historical treatment data, patient feedback and drug use effect evaluation, etc.

[0075] Intelligent algorithm application:

[0076] Using advanced machine learning algorithms (such as deep learning, decision tree, random forest, etc.) or knowledge reasoning technology, combined with the patient's disease diagnosis results, inspection results and historical treatment data, quickly recommend the optimal or appropriate treatment plan;

[0077] The algorithm needs to consider the availability of drugs, delivery time, price factors and patient individual differences (such as age, gender, allergy history, etc.), to ensure the individualization and effectiveness of the recommended plan;

[0078] Drug selection and supply time prediction:

[0079] The system automatically matches the drugs that the current hospital, regional drug comprehensive management center and drug manufacturers can provide according to the treatment plan recommended by the intelligent algorithm;

[0080] If the recommended drug is not enough in the current hospital inventory, the system further queries the inventory status of the regional drug comprehensive management center and other medical institutions, and predicts the time when the drug can be delivered and used;

[0081] The system also needs to consider the delivery route, traffic conditions and delivery vehicle information provided by the delivery management and coordination module to accurately estimate the drug delivery time;

[0082] For cases requiring shipment from drug manufacturers, the system needs to combine production dynamics, inventory information, and procurement cycles to predict drug production and delivery times.

[0083] Result output and selection:

[0084] The system presents the recommended treatment plan and a list of alternative drugs (including drug name, drug efficacy assessment, advantages and disadvantages, price, medical insurance reimbursement, and estimated arrival time) in an intuitive manner (such as charts, lists, etc.) to medical personnel and patients.

[0085] Medical personnel and patients can jointly select the most appropriate treatment plan and drugs based on the information provided by the system, taking into account treatment effectiveness, economic affordability, drug side effects, and supply time.

[0086] The system supports online confirmation of the selected treatment plan and drugs by medical personnel and patients, and generates electronic treatment plans for subsequent treatment and delivery tracking.

[0087] Subsequent monitoring and adjustment:

[0088] The system continuously monitors the implementation effect of the selected treatment plan and drugs, collects patient feedback and treatment data through the efficacy assessment module.

[0089] If the treatment effect is not good or drug side effects occur, the system supports medical personnel to flexibly adjust the treatment plan or drug selection, and re-predict the drug supply time.

[0090] The system regularly assesses the operational efficiency and service quality of the intelligent treatment plan recommendation module, and optimizes and improves it based on user feedback and data analysis results.

[0091] Treatment cost calculation and insurance interface system: can accurately calculate the total cost of the required drugs for treatment, and real-time information interface with the insurance system, so that patients can immediately understand the personal cost after insurance reimbursement, and enhance the cost transparency;

[0092] Treatment plan confirmation and informed consent management module: ensures that the selected treatment plan and the drugs it contains are confirmed by medical personnel and patients, and provides electronic informed consent form generation and printing functions to fully protect patients' right to know and consent.

[0093] Further, the system further comprises a flexible adjustment and optimization module, which is specifically configured as:

[0094] Flexible adjustment unit: allows flexible adjustment of drug selection, dosage or usage in the original treatment plan during the treatment process according to the actual efficacy evaluation results of patients, economic affordability, drug side effects or other reasonable factors, to ensure the individualization and effectiveness of the treatment plan;

[0095] Change reason recording and analysis unit: comprehensively and detailedly records the specific reasons for each treatment plan adjustment, including but not limited to poor efficacy, patient economic pressure, drug side effects, new drug listing or cost-effectiveness analysis, etc. These records provide valuable data reference and experience for subsequent treatment plan optimization, patient case study and medical research;

[0096] Intelligent optimization suggestion unit: using advanced algorithms and data analysis techniques, combining patients' historical treatment data and current conditions, to provide intelligent treatment plan optimization suggestions for doctors. These suggestions may include replacing drugs, adjusting dosages, changing medication frequency or recommending new treatment plans, aiming to improve treatment effectiveness and patient satisfaction.

[0097] Further, the system further comprises:

[0098] Regular reminder module, for regularly sending reminder information to doctors and patients about drug use, review, efficacy evaluation, etc. to improve treatment safety and compliance;

[0099] Efficacy evaluation module, configured to objectively evaluate the treatment effect of a specific disease, to provide basis for adjusting the treatment plan;

[0100] Efficacy determination mechanism module, responsible for setting and managing the standards and mechanisms of efficacy evaluation, to ensure the impartiality and authority of the evaluation results.

[0101] Further, the system further comprises:

[0102] Electronic supervision code scanning module, for scanning and verifying the electronic supervision code of the drug, realizing drug traceability, to ensure the authenticity and legality of the drug;

[0103] Drug return module, to standardize the handling of drug return due to various reasons, and to record the drug return reasons and process in detail, to protect the legal rights and interests of patients.

[0104] Further, the system further comprises a regional drug comprehensive management center function module, which has the following specific functions:

[0105] Inventory overall management submodule: responsible for overall management of inventory information of hospitals and drug manufacturers in the region, to realize rational allocation and optimal allocation of inventory resources, to ensure balance and stability of regional drug supply;

[0106]

[0106] Order processing and distribution submodule: configured to receive and process drug orders from various hospitals, intelligently formulate distribution plans according to inventory and distribution capacity, and timely distribute orders to corresponding distribution centers, hospitals or drug manufacturers for distribution;

[0107] Drug quality supervision submodule: used for quality supervision of drugs entering the regional drug comprehensive management center, to ensure that the quality of drugs meets relevant standards and regulations, and to ensure patient medication safety;

[0108] Information sharing and collaboration submodule: establishes an information sharing platform to promote information exchange and collaborative cooperation among hospitals, drug manufacturers and distribution centers in the region, to improve drug management efficiency and service level;

[0109] Emergency response and disposal submodule: configured to develop emergency response plans, and when drug shortages, quality accidents and other emergencies occur, the emergency response mechanism can be quickly started to timely handle and reduce losses.

[0110] Further, the system further comprises:

[0111] Drug use trend analysis submodule: focuses on analyzing the usage, frequency and trend of drug use in a specific period, providing data support for drug inventory management and procurement planning;

[0112] Drug resistance monitoring and analysis submodule: continuously monitors the drug resistance of bacteria or viruses to specific drugs and analyzes the development trend of drug resistance, providing important reference for developing antibacterial drug treatment strategies and adjusting drug regimens;

[0113] Therapeutic effect difference analysis submodule:

[0114] Different drug treatment effect difference analysis function, used to compare the effect difference of different drugs in the treatment of the same or similar diseases, including cure rate, remission rate, adverse reaction rate and other indicators, to provide data support for optimizing drug selection;

[0115] Different manufacturer treatment effect difference analysis function, used to compare the difference in treatment effect of the same drug produced by different manufacturers, to evaluate the influence of production quality, process stability and bioequivalence, etc., to provide reference for drug procurement and selection.

[0116] Further, the system further comprises:

[0117] The macro distribution and disease development trend analysis module is configured to analyze the use of medicine data in various regions by integrating big data processing technology to obtain the development trend of the disease when a particular disease suddenly prevails, and based on the development trend, the macro distribution of drugs in various regions is adjusted to ensure that drugs can be reasonably distributed according to the actual situation of disease development to meet the demand for drugs in various regions, and to ensure the balance and stability of drug supply.

[0118] The macro distribution and disease development trend analysis module specifically includes the following steps:

[0119] Data collection and integration: real-time collection of drug use data, inventory data, disease diagnosis data and patient treatment data from various hospitals, regional drug comprehensive management centers and drug manufacturers;

[0120] Disease development trend analysis: using big data processing technology and data mining algorithms, the integrated data is analyzed in depth to identify the prevalence trend of a particular disease; and combining historical data and current actual situation, the future development trend of the disease is predicted;

[0121] Drug demand prediction: based on the analysis results of the disease development trend, the demand for drugs in the future and the demand type in each region are predicted; and considering the inventory situation, procurement cycle and distribution time of the drugs, a reasonable drug procurement and distribution plan is made;

[0122] Macro distribution strategy formulation: according to the results of drug demand prediction, the distribution route, distribution sequence and distribution vehicle are planned; and the supply of drugs in disease high-incidence areas and emergency needs is prioritized;

[0123] Real-time monitoring and adjustment: real-time monitoring of the distribution status and progress of the drugs to ensure the smooth implementation of the distribution plan; and according to the actual situation and unexpected situation, the distribution strategy is flexibly adjusted to cope with drug shortages or surpluses;

[0124] Feedback and improvement: collect user feedback and data, evaluate the distribution efficiency and service quality, and make improvements; and regularly summarize and analyze the operation of the module to provide experience and reference for subsequent optimization and upgrading. BRIEF DESCRIPTION OF DRAWINGS DETAILED DESCRIPTION

[0125] Taking "X medicine" as an example, the specific implementation process of the use module is as follows:

[0126] Data collection: the system obtains that the current inventory of X medicine in the hospital is 500 bottles, and the average daily consumption of X medicine in the past week is 50 bottles.

[0127] Algorithm application: the system uses time series analysis algorithm to predict that the daily consumption of X medicine in the next week will remain stable based on historical consumption data.

[0128] Time calculation: The system calculates that, based on current consumption trends, the hospital's existing supply of 500 bottles of drug X is expected to last for 10 days (500 bottles / 50 bottles / day = 10 days).

[0129] Result Output and Alert: The system displays the estimated usable time to the pharmacy manager. Since the preset safety threshold is 7 days, the system automatically sends an alert, notifying the pharmacy manager that drug X is expected to run out in 3 days and recommending an immediate restock request.

[0130] A regional drug management system, taking a certain drug (such as "Drug X") as an example, the specific implementation process is as follows

[0131] Inventory Acquisition and Management:

[0132] Local Inventory Query Submodule: The system automatically queries and updates the inventory status of drug X within the hospital, ensuring that the hospital pharmacy can grasp the current quantity of drug X in real time;

[0133] Regional Drug Comprehensive Management Center Inventory Query Submodule: When the inventory of drug X in the hospital is tight, the system queries the inventory of drug X in the regional drug comprehensive management center. If the inventory is sufficient, the system will only display the "sufficient" status to protect the specific inventory.

[0134] It preserves the privacy of quantity while promoting resource sharing.

[0135] Manufacturer Inventory Query Submodule: The system queries the inventory status, stocking information, and production dynamics of drug manufacturer X. While ensuring the manufacturer's privacy, the system obtains necessary inventory information, such as displaying only "sufficient" status, to facilitate timely replenishment when needed.

[0136] Usage acquisition:

[0137] The system continuously monitors and records the specific usage of drug X in the current hospital, including daily usage, frequency of use, and usage trend analysis. For example, the system finds that the usage of drug X has gradually increased recently, and the frequency of use has increased.

[0138] Expected modules:

[0139] Based on inventory information and usage data, the system uses intelligent algorithms to determine the estimated time until the availability of drug X. For example, the system predicts that based on current usage trends, the hospital's existing stock of drug X will be depleted in five days.

[0140] Tell the module:

[0141] When the system predicts that the projected available time of X drug is close to or below the preset safety threshold (e.g., 5 days), an alert message is automatically sent to the physician or relevant management personnel. The alert message includes the projected depletion time of X drug, the current inventory, and suggested measures (e.g., applying for replenishment, adjusting the medication regimen, etc.).

[0142] Example: Application of the Distribution Management and Coordination Module in a Hospital

[0143] Background: A hospital is using a regional drug management system to monitor and manage its drug inventory and usage, particularly for a specific drug "Y drug". The hospital's drug inventory is tight and needs to be replenished in a timely manner through the regional drug comprehensive management center.

[0144] Implementation process of the distribution management and coordination module

[0145] Data collection and update

[0146] Real-time distribution monitoring submodule: The system updates the information of the distribution center in real time, including the current location of the delivery vehicle, the estimated time of arrival, etc., to ensure the accuracy and timeliness of the information.

[0147] System status: The system shows that there are currently 3 delivery vehicles operating in the distribution center, and one of them is expected to arrive at the hospital within 2 hours.

[0148] Intelligent distribution optimization

[0149] Intelligent distribution optimization submodule: The system uses advanced algorithms and models to analyze current traffic conditions, distribution routes, vehicle loading conditions, etc., to optimize the distribution route and sequence to improve distribution efficiency.

[0150] System operation: The system calculates the optimal distribution route and suggests that delivery vehicle A, after completing the delivery to the previous hospital, directly go to the hospital to deliver Y drug, in order to save time and cost.

[0151] Abnormality handling

[0152] Abnormality handling mechanism submodule: The system monitors and identifies abnormal situations in real time during the distribution process, such as traffic congestion, vehicle breakdown, etc., and automatically triggers the emergency handling process.

[0153] Actual situation: Delivery vehicle A encounters traffic congestion on the way, the system immediately notifies the distribution center and re-plans the route, and allocates another idle delivery vehicle B to go to the hospital to ensure that the drug is delivered in time.

[0154] Distribution feedback and improvement

[0155] Delivery Feedback and Improvement Submodule: After the delivery is completed, the system collects feedback and data from the user (hospital) to evaluate the delivery efficiency and service quality and make improvements.

[0156] Feedback Collection: The hospital evaluates this delivery service and believes that the timely arrival of delivery vehicle B saved the crisis of drug shortage, but expresses dissatisfaction with the delay of delivery vehicle A.

[0157] System Improvement: The system optimizes the delivery algorithm according to the feedback, improves the prediction accuracy of traffic conditions, and enhances the response speed of the emergency handling mechanism.

[0158] Specific Example

[0159] Time: April 5, 2023, 10:00 am

[0160] Location: Pharmacy of Hospital Y

[0161] Event: Hospital Y's drug inventory is in crisis and needs emergency replenishment.

[0162] Inventory Inquiry and Order Submission

[0163] The hospital discovers that the inventory of drug Y is insufficient through the local inventory inquiry submodule of the regional drug management system and immediately submits an emergency replenishment order to the regional drug comprehensive management center through the delivery management module.

[0164] Delivery Management and Coordination

[0165] After receiving the order, the real-time delivery monitoring submodule of the delivery management and coordination module displays the status of the current delivery center and the estimated time of arrival.

[0166] The intelligent delivery optimization submodule optimizes the delivery route according to the current traffic conditions and vehicle loading conditions and allocates delivery vehicle A to the hospital.

[0167] When delivery vehicle A encounters traffic congestion, the abnormal handling mechanism submodule automatically triggers the emergency handling process and allocates delivery vehicle B to the hospital.

[0168] Drug Delivery and Feedback

[0169] Delivery vehicle B arrives at the hospital within the estimated time and delivers drug Y to the pharmacy in a timely manner.

[0170] The hospital evaluates the delivery service and provides feedback to the system.

[0171] The delivery feedback and improvement submodule optimizes the delivery algorithm and emergency handling mechanism according to the feedback.

[0172] Specific Embodiment of Drug Locking and Auditing Module:

[0173] Scenario setting: Time: May 10, 2023 Place: A large general hospital Event: Due to the recent outbreak of a certain epidemic (such as influenza), the demand for a certain medicine (such as "antiviral oral liquid") has surged, and the inventory is tight.

[0174] Implementation process

[0175] 1. Inventory shortage monitoring and early warning

[0176] Inventory shortage monitoring unit: The system automatically monitors the "antiviral oral liquid" inventory data of the hospital's internal and regional medicine comprehensive management center. When the inventory falls below the preset low inventory threshold (such as remaining inventory only meeting the demand for the next 3 days), the system automatically triggers the medicine lock early warning mechanism;

[0177] Early warning notification: The system sends early warning information to the hospital's pharmacy director and all relevant physicians, prompting that the "antiviral oral liquid" inventory is tight and measures need to be taken as soon as possible.

[0178] 1. Medicine lock and review

[0179] Advance locking of already prescribed medicines: For patients who have already been prescribed "antiviral oral liquid" (such as 10 patients under the care of physician A), 30 bottles have been used, and 70 bottles are needed to complete the current course of treatment. The system automatically locks the remaining required number of medicines, 70 bottles, to ensure that these patients can continue to take medicine.

[0180] Physician B (respiratory physician): After receiving the early warning information, physician B reviews the list of patients under his care and finds that there are 10 influenza patients in urgent need of "antiviral oral liquid" treatment. Physician B inputs the estimated time of use when prescribing medicine for patients, and the system automatically calculates the required number of medicines based on the prescription information and estimated use time, checks whether the current inventory meets the demand, and locks the "antiviral oral liquid" and its quantity (assuming 10 bottles), and submits the lock request. Physician B prescribes medicine for patients one by one and submits the lock request, a total of 10 patients (assuming a total of 100 bottles); or selects 10 patients in bulk on the system interface, locks "antiviral oral liquid" and its quantity (assuming 10 bottles per patient, a total of 100 bottles), and submits the lock request;

[0181] Intelligent lock operation unit: The system automatically checks the matching of physician B's lock request and disease treatment course, confirms that the request is reasonable, and locks 100 bottles of "antiviral oral liquid" for use by physician B's patients. At the same time, the system updates the inventory information and displays the remaining inventory;

[0182] Doctor C (Pediatrician): After receiving the warning message, Doctor C finds that the 5 influenza patients under his care also need "Antiviral Oral Liquid" treatment. Doctor C also submits a lock request, but finds that the inventory is insufficient. The system prompts Doctor C to wait for inventory updates or consider other alternative drugs;

[0183] 3. Lock Information Recording and Management

[0184] Lock Information Recording and Management Unit: Detailed records of each drug lock information, including lock time, drug name ("Antiviral Oral Liquid"), quantity (170 bottles), lock reason (influenza outbreak, surge in patient treatment needs), lock doctor (Doctor A, Doctor B), and lock drug corresponding to the doctor's order information (patient list and medication regimen);

[0185] 4. Subsequent Processing and Feedback

[0186] Pharmacy Director: Based on the lock information provided by the system, the pharmacy director communicates with the regional drug comprehensive management center in a timely manner, applies for emergency replenishment, and prioritizes the supply of locked drugs;

[0187] Patient Medication Guarantee: Patients under the care of Doctor A and Doctor B receive the required "Antiviral Oral Liquid" on time, and treatment proceeds smoothly. After learning of the inventory replenishment, Doctor C also successfully uses the required drug for his patients;

[0188] System Feedback and Improvement: After the completion of this incident, the system collects feedback and data from users (doctors, pharmacy directors, etc.), evaluates the running efficiency and service quality of the drug lock and audit module, and makes necessary improvements. For example, optimizing the lock request audit process and improving the convenience of lock operation.

[0189] Embodiments of Disease Treatment Knowledge Graph Module, Intelligent Treatment Plan Recommendation Module, Treatment Cost Calculation and Insurance Interface System, and Treatment Plan Confirmation and Informed Consent Management Module

[0190] Scenario Setting: Time: June 15, 2023 Place: A certain third-grade hospital Event: A patient with "hypertension" comes for treatment, and the doctor needs to develop a treatment plan.

[0191] Detailed Implementation Process:

[0192] Application of Disease Treatment Knowledge Graph Module:

[0193] After the doctor receives a patient with hypertension, through the disease treatment knowledge graph module of the regional drug management system, detailed information about hypertension is quickly obtained, including etiology, symptoms, diagnostic criteria, treatment plans, etc.

[0194] The knowledge graph also provides the selection and use principles of first-line and second-line drugs for the treatment of hypertension, providing a scientific basis for doctors to formulate preliminary treatment plans.

[0195] Application of intelligent treatment plan recommendation module:

[0196] After a preliminary understanding of the patient's condition, the doctor enters the patient's disease diagnosis (hypertension) and examination and test results (such as blood pressure level, heart function, etc.) into the system;

[0197] The system uses advanced algorithm technology to quickly recommend the best or appropriate treatment plan. For example, the system may recommend a specific antihypertensive drug to a patient and provide the drug's usage, dosage, and expected therapeutic effect.

[0198] At the same time, the system also provides information on the antihypertensive drugs that can be provided by current hospitals, regional comprehensive drug management centers and drug manufacturers, including efficacy evaluation, advantages and disadvantages, prices and medical insurance reimbursement, for doctors and patients to choose.

[0199] Application of treatment cost calculation and insurance docking system:

[0200] After the doctor selects the appropriate treatment plan based on the system's recommendation, the system immediately and accurately calculates the total cost of the drugs required for treatment;

[0201] At the same time, the system connects with the insurance system in real time to provide patients with personal expenses after insurance reimbursement. For example, the system shows that the total cost of the antihypertensive drug is 500 yuan, of which medical insurance can reimburse 300 yuan and the patient needs to bear 200 yuan;

[0202] This increases cost transparency and helps patients better understand treatment costs, allowing them to make more informed treatment choices.

[0203] Application of treatment plan confirmation and informed consent management module:

[0204] The selected treatment plan and the drugs it includes are confirmed by both the doctor and the patient;

[0205] The system provides the function of generating and printing electronic informed consent forms. Patients can read and sign the informed consent forms on the system to ensure that they fully understand the content, risks and possible costs of the treatment plan.

[0206] Doctors also confirm treatment plans on the system to ensure the legality and compliance of the treatment process;

[0207] After signing, the system automatically saves the electronic informed consent form to provide legal protection for subsequent treatment.

[0208] Below is a detailed implementation example of the flexible adjustment and optimization module of a plan:

[0209] Scenario setting

[0210] Time: July 20, 2023

[0211] Location: A comprehensive hospital in a certain city

[0212] Event: A patient with diabetes needs to adjust the treatment plan due to drug side effects and economic pressure during treatment.

[0213] Specific implementation process

[0214] Initial treatment plan and problems

[0215] Patient situation: Mr. Zhang, 55 years old, diagnosed with type 2 diabetes, initial treatment plan: oral hypoglycemic drug A, twice a day, one tablet each time;

[0216] Problem: After a month of treatment, Mr. Zhang has obvious gastrointestinal discomfort (drug side effects), and due to long-term medication, economic pressure gradually increases;

[0217] Application of flexible adjustment unit

[0218] Adjustment demand: Mr. Zhang reflects the above problems to the attending physician, Dr. Li, hoping to adjust the treatment plan;

[0219] Plan adjustment: Dr. Li uses the flexible adjustment and optimization module of the regional drug management system to consider Mr. Zhang's actual efficacy evaluation results (blood sugar control is acceptable but side effects are obvious), economic affordability, and drug side effect reactions, and decides to adjust the treatment plan;

[0220] New plan: replace oral hypoglycemic drug A with a less side effect and partially reimbursable hypoglycemic drug B, and adjust the medication frequency to once a day, two tablets each time, to reduce the patient's economic burden and side effects;

[0221] Change reason recording and analysis unit

[0222] Record change reasons: the system records the specific reasons for this treatment plan adjustment, including Mr. Zhang's drug side effects (gastrointestinal discomfort), economic pressure, and the advantages of new drug B (small side effects, partially reimbursable by medical insurance);

[0223] Data analysis: these records provide valuable data references for further optimization of subsequent treatment plans, patient case studies, and medical research. For example, the system can analyze different patients' side effect reactions to specific drugs, providing a basis for future treatment plan adjustments for similar situations;

[0224] Intelligent optimization suggestion unit

[0225] Data analysis and suggestions: The system utilizes advanced algorithms and data analysis techniques to provide intelligent treatment plan optimization suggestions for Dr. Li based on Mr. Zhang's historical treatment data and current condition. For example, the system recommends adding appropriate dietary control and exercise therapy to the current treatment plan with drug B to further improve treatment effectiveness and patient satisfaction;

[0226] Doctor decision: Dr. Li, after communicating with Mr. Zhang, decides to adopt the optimization plan and confirms and records it in the system;

[0227] Subsequent treatment and effect evaluation

[0228] Treatment implementation: Mr. Zhang follows the adjusted treatment plan and gradually alleviates gastrointestinal discomfort and economic pressure;

[0229] Effect evaluation: Dr. Li regularly evaluates Mr. Zhang's treatment effect through the system's efficacy evaluation module and finds that blood sugar levels are stable and side effects have significantly decreased;

[0230] Patient feedback: Mr. Zhang is satisfied with the adjusted treatment plan and believes it is both effective and economical.

[0231] Implementation of regional drug comprehensive management center function modules

[0232] A regional drug comprehensive management center in a certain region adopts an advanced regional drug management system to achieve efficient management of regional drugs. The following is the process of the center utilizing each sub-module of the system for specific implementation:

[0233] Inventory coordination management sub-module

[0234] The center collects and updates real-time inventory information of each hospital and drug manufacturer in the region through the inventory coordination management sub-module;

[0235] The system analyzes the drug demand and inventory of each hospital and intelligently determines which hospitals have excess drugs and which hospitals have drug shortages, and accordingly proposes inventory allocation suggestions;

[0236] For example, if hospital A has excess antibiotics and hospital B is in urgent need of antibiotics, the system will automatically suggest allocating some of hospital A's antibiotics to hospital B to achieve rational allocation of inventory resources;

[0237] Order processing and distribution sub-module

[0238] When hospitals submit drug orders through the system, the order processing and distribution submodule automatically receives and processes these orders; the system intelligently formulates a distribution plan based on the inventory of each hospital, the distribution capacity of the distribution center, and the supply situation of drug manufacturers;

[0239] For example, hospital C submits an urgent order for a certain drug, and the system will prioritize the distribution of the drug from the distribution center to hospital C based on current inventory and distribution capacity, ensuring that the urgent demand is met;

[0240] Drug quality supervision submodule

[0241] The drug quality supervision submodule is responsible for strict quality supervision of drugs entering the regional drug comprehensive management center;

[0242] The system verifies the authenticity and legality of the drug by scanning its electronic supervision code and records key information such as the source, production date, and expiration date of the drug;

[0243] For example, before a batch of newly arrived drugs is warehoused, the system will require quality inspection and scanning of the electronic supervision code for verification to ensure that the drug quality meets relevant standards and regulations;

[0244] Information sharing and collaboration submodule

[0245] The information sharing and collaboration submodule establishes an information sharing platform to promote information exchange and collaborative cooperation among hospitals, drug manufacturers, and distribution centers within the region;

[0246] Through this platform, hospitals can share real-time drug inventory and usage information, drug manufacturers can timely understand market demand, and distribution centers can optimize distribution routes and improve distribution efficiency;

[0247] For example, hospital D finds that the usage of a certain drug has suddenly increased, suspecting that it may be due to the outbreak of a certain disease. Through the information sharing platform, hospital D can quickly pass this information to other hospitals and drug manufacturers so that they can adjust their inventory and production plans in a timely manner;

[0248] Emergency response and disposal submodule

[0249] The emergency response and disposal submodule is responsible for formulating emergency response plans to deal with drug shortages, quality accidents, and other emergencies; when an emergency occurs, the system can quickly activate the emergency response mechanism, notify relevant personnel for disposal, and track the progress and results in real time;

[0250] For example, due to weather reasons, the distribution center cannot deliver medicines to hospital E on time. After the system detects this situation, it immediately starts the emergency response mechanism, notifies the standby distribution center to deliver, and ensures that the medicine supply of hospital E is not affected.

[0251] The following is a detailed example of specific embodiments of the drug use trend analysis submodule, drug resistance monitoring and analysis submodule, and treatment effect difference analysis submodule:

[0252] Drug use trend analysis submodule Specific embodiments:

[0254] Suppose the regional medicine management system is monitoring the use of a commonly used antibiotic "Z medicine".

[0255] Data collection: the system continuously collects data such as the amount of Z medicine used and the frequency of use in each hospital over the past year;

[0256] Trend analysis: the system uses data analysis tools to generate a Z medicine use trend chart. For example, it is found that the use of Z medicine increases significantly in winter due to the high incidence of respiratory diseases, while it is relatively low in summer;

[0257] Inventory management recommendations: based on this trend, the system recommends increasing the inventory of Z medicine before the arrival of winter to ensure adequate supply; while appropriately reducing inventory in summer to avoid overstocking of medicines;

[0258] Purchasing plan adjustment: based on the results of trend analysis, hospitals or regional medicine comprehensive management centers can adjust the purchasing plan of Z medicine to ensure sufficient supply of medicines during the peak demand period;

[0259] Drug resistance monitoring and analysis submodule Specific embodiments:

[0261] Data collection: the system regularly collects data on the resistance of Z medicine from various hospitals, including the resistance rate of bacteria or viruses to Z medicine, the distribution of drug-resistant strains, etc.;

[0262] Drug resistance analysis: the system uses data analysis algorithms to analyze the development trend of drug resistance of Z medicine. For example, it is found that the resistance rate of a certain bacteria to Z medicine is increasing year by year, which needs to be paid attention to;

[0263] Treatment strategy adjustment: based on the results of drug resistance analysis, the system suggests that doctors consider using other sensitive antibiotics or adjusting the dosage and course of Z medicine when facing infections caused by the bacteria to slow down the development of drug resistance;

[0264] Early Warning Mechanism: When the system detects that the resistance rate of a certain bacteria to Z medicine reaches a preset threshold, an early warning mechanism is automatically triggered, sending reminder information to doctors and management personnel to take timely measures to respond.

[0265] Treatment Effect Difference Analysis Submodule

[0266] Specific Implementation Example (Different Medicine Treatment Effect Difference Analysis):

[0267] Data Collection: The system collects data on the effects of Z medicine and other similar antibiotics (such as "A medicine") in the treatment of the same or similar diseases, including cure rate, remission rate, adverse reaction rate, and other indicators.

[0268] Effect Comparison: The system uses statistical analysis methods to compare the treatment effects of Z medicine and A medicine. For example, it is found that Z medicine has a higher cure rate in the treatment of a certain respiratory infection, but the adverse reaction rate is also slightly higher.

[0269] Medicine Selection Suggestions: Based on the results of the effect comparison, the system provides medicine selection suggestions for doctors. For cases that pursue high cure rates, Z medicine can be considered; while for patients who are more sensitive to adverse reactions, A medicine may be more suitable. Specific Implementation Example (Different Treatment Effect Difference Analysis of the Same Medicine by Different Manufacturers):

[0270] Data Collection: The system collects data on the effects of Z medicine produced by different manufacturers in the treatment of the same disease, including cure rate, remission rate, bioequivalence, and other indicators.

[0271] Quality Assessment: The system uses data analysis tools to assess the treatment quality and process stability of Z medicine produced by different manufacturers. For example, it is found that the Z medicine produced by a certain manufacturer performs better in terms of bioequivalence.

[0272] Purchase Suggestions: Based on the results of the quality assessment, the system provides purchase suggestions for hospitals or medicine procurement departments. In the case of similar prices, preferentially consider purchasing Z medicine produced by manufacturers with better quality.

[0273] Manufacturer Feedback: The system can also feedback the evaluation results to manufacturers, encouraging them to continuously improve production processes and improve medicine quality.

[0274] Specific Implementation Example of Macro Distribution and Disease Development Trend Analysis Module

[0275] Background Setting: Suppose in a certain region, an influenza epidemic (called "H influenza") suddenly breaks out, which spreads rapidly and leads to a sharp increase in demand for a specific antiviral medicine (such as "T medicine"). In order to effectively respond to this epidemic, the regional medicine management system starts the macro distribution and disease development trend analysis module.

[0276] Specific implementation steps

[0277] Data collection and integration

[0278] The system collects real-time diagnosis data of H influenza, patient treatment data, and usage data and inventory data of T medicine from various hospitals;

[0279] At the same time, the total inventory, procurement cycle, and distribution capacity of T medicine are obtained from the regional medicine comprehensive management center; the production dynamics and inventory information of medicine manufacturers are also included in the data collection range;

[0280] Disease development trend analysis

[0281] Using big data processing technology and data mining algorithms, the system deeply analyzes the collected data to identify the epidemic trend of H influenza;

[0282] Combined with historical influenza epidemic data and current actual situation, the system predicts the development trend of H influenza in the next few weeks, including the possible outbreak area, the number of infected people, etc;

[0283] Medicine demand prediction

[0284] Based on the development trend of H influenza, the system predicts the demand for T medicine in each region in the future;

[0285] Considering the inventory of T medicine, the procurement cycle (assuming 2 weeks) and the distribution time (assuming 1 week), the system calculates the total amount of T medicine needed in each region in the next 4 weeks;

[0286] Macro distribution strategy formulation

[0287] According to the medicine demand prediction results, the system plans the distribution route, prioritizes the supply of medicines in high-incidence areas and emergency needs;

[0288] Arrange the delivery sequence to ensure that T medicine can be delivered to the most needed place in time;

[0289] Allocate vehicles to ensure that the distribution capacity meets the demand, and consider backup vehicles to deal with unexpected situations;

[0290] Real-time monitoring and adjustment

[0291] The system monitors the distribution status and progress of T medicine in real time to ensure the smooth implementation of the distribution plan;

[0292] During the distribution process, the system finds that the epidemic in a certain area suddenly intensifies, and the demand for T medicine far exceeds the prediction. The system immediately adjusts the distribution strategy and allocates additional T medicine from other areas to this area;

[0293] Meanwhile, the system detects that a certain hospital has an excess of T medicine inventory, and suggests that some of the T medicine from this hospital be allocated to other hospitals that have more urgent needs.

[0294] Feedback and Improvement

[0295] Collect feedback and data from users (hospitals, doctors, patients, etc.), evaluate the efficiency of distribution and the quality of service.

[0296] User feedback shows that the overall execution of the distribution plan is smooth, but in some areas, the distribution is delayed due to traffic congestion. The system records this problem and considers adding traffic condition prediction and alternative route planning in subsequent optimization;

[0297] The system regularly summarizes and analyzes the operation of the module, and finds that the accuracy of disease development trend prediction is relatively high, but there is still room for improvement in medicine demand prediction. Therefore, the system plans to introduce more advanced prediction algorithms and data models to improve prediction accuracy.

Claims

1. A regional drug management system, characterized in that: The system includes: Inventory Acquisition and Management Module: This module is used to acquire and update inventory information of hospitals, regional integrated drug management centers, and drug manufacturers in real time, while ensuring the accuracy and privacy of inventory data. The Inventory Acquisition and Management Module is further divided into: a. Local inventory query submodule, focusing on querying and updating the drug inventory status within the hospital; b. The Regional Drug Comprehensive Management Center Inventory Query submodule is used to query and update drug inventory information within the region or other medical institutions. When drugs are sufficient, only the "sufficient" status is displayed without the specific quantity, to promote resource sharing while protecting privacy; c. Manufacturer Inventory Query submodule, used to query and update the inventory status, stocking information and production dynamics of pharmaceutical manufacturers, and provide necessary inventory information while protecting the privacy of manufacturers; Usage acquisition module: configured to continuously monitor and record the specific usage of drugs in the current hospital, including usage quantity, usage frequency and usage trend analysis; Estimated usage module: Based on inventory information and usage data, it uses intelligent algorithms to determine the estimated time of use of drugs; Notification module: When the estimated usage time of a drug is close to or below the preset safety threshold, a reminder message will be automatically sent to the physician or relevant management personnel to ensure the timeliness of drug supply.

2. The regional drug management system according to claim 1, characterized in that: The system also includes: The delivery management and coordination module is used to obtain and update the inventory details, estimated delivery time to hospitals, and delivery status of the regional integrated drug management center. It is specifically configured to perform real-time delivery monitoring, intelligent delivery optimization, exception handling, and delivery feedback and improvement to ensure timely and safe delivery of drugs. The delivery management and coordination module further includes: Real-time distribution monitoring submodule is used to update distribution center information in real time to ensure the accuracy and timeliness of the information; The intelligent delivery optimization submodule uses advanced algorithms and models to optimize delivery routes, sequences, and vehicle allocation to improve delivery efficiency; The exception handling mechanism submodule is configured to monitor and identify abnormal situations during the delivery process in real time and automatically trigger emergency response processes to reduce losses; The delivery feedback and improvement submodule is used to collect user feedback and data, evaluate delivery efficiency and service quality, and make improvements. The distribution management module can automatically or manually trigger order submission to the regional drug integrated management center based on the hospital's local inventory status and expected usage needs, thereby achieving efficient management of the distribution process.

3. The regional drug management system according to claim 1, characterized in that: The system includes a drug locking and review module, with the following specific configurations: Inventory shortage monitoring unit: used to monitor and analyze inventory data within the hospital and the regional drug integrated management center in real time. When the inventory level drops to the preset low inventory threshold, the drug lock-out warning mechanism is automatically triggered; Intelligent locking operation unit: For pre-ordered medications, if inventory is insufficient, the system automatically locks the remaining quantity of medications in advance to ensure medication needs for patients who have already received pre-orders. Furthermore, when issuing medication orders, physicians or relevant management personnel can select the medications and quantities to be locked, either patient by patient or in batches, through the system interface and submit a locking request. The built-in intelligent audit function automatically checks the matching between the lock request and the disease treatment course to ensure the rationality of the lock operation; Locking information recording and management unit: responsible for recording the detailed information of each drug lock, including the lock time, drug name, quantity, lock reason, locking physician and the corresponding medical order information of the locked drug, to provide data support for subsequent analysis and review.

4. The regional drug management system according to claim 1, characterized in that: The system is further expanded to include: Disease treatment knowledge graph module: used to build and maintain a detailed knowledge base of disease diagnosis and treatment plans, providing scientific basis and knowledge support for doctors to select appropriate drugs during the treatment process; Intelligent treatment plan recommendation module: Utilizing advanced algorithm technology, the system quickly recommends the optimal or recommended treatment plan based on the patient's disease diagnosis and examination results, thereby improving the accuracy and efficiency of drug selection. Furthermore, when a patient requires medication for a certain disease, the system provides available drugs from current hospitals, regional drug management centers, and drug manufacturers for medical staff and patients to choose from. It also provides efficacy evaluations, advantages and disadvantages, prices, and medical insurance reimbursement information for different drugs to assist in decision-making. Treatment cost calculation and insurance connection system: This system can accurately calculate the total cost of medications required for treatment and connect information with the insurance system in real time, so that patients can immediately understand their personal expenses after insurance reimbursement, enhancing cost transparency. Treatment plan confirmation and informed consent management module: ensures that the selected treatment plan and the drugs it contains are double-confirmed by medical staff and patients, and provides the function of generating and printing electronic informed consent forms to fully protect patients' rights to know and consent.

5. The regional drug management system according to claim 4, characterized in that: The system further includes a flexible solution adjustment and optimization module, which is specifically configured as follows: Flexible Adjustment Unit: Allows for flexible adjustments to the drug selection, dosage, or usage in the original treatment plan during the treatment process based on the patient's actual efficacy evaluation results, financial affordability, drug side effects, or other reasonable factors to ensure the personalized and effective treatment plan. Change Reason Recording and Analysis Unit: Comprehensively and in detail records the specific reasons for each treatment plan adjustment, including but not limited to poor efficacy, patient financial pressure, drug side effects, new drug launches, or cost-effectiveness analysis. These records provide valuable data references and experience for subsequent treatment plan optimization, patient case studies, and medical research. Intelligent Optimization Recommendation Unit: Leveraging advanced algorithms and data analysis technologies, combined with a patient's historical treatment data and current condition, the unit provides doctors with intelligent treatment optimization recommendations. These recommendations may include medication substitutions, dosage adjustments, changes in medication frequency, or new treatment options, aiming to improve treatment outcomes and patient satisfaction.

6. The regional drug management system according to claim 5, characterized in that: The system also includes: Regular reminder module, used to send regular reminders to doctors and patients about drug use, review, efficacy evaluation, etc., to improve treatment safety and compliance; The efficacy assessment module is configured to objectively assess the therapeutic effects of specific diseases and provide a basis for adjusting treatment plans; The efficacy determination agency module is responsible for setting and managing the standards and institutions for efficacy evaluation to ensure the fairness and authority of the evaluation results.

7. The regional drug management system according to claim 6, characterized in that: The system further comprises: The electronic supervision code scanning module is used to scan and verify the electronic supervision code of drugs, realize drug traceability, and ensure the authenticity and legality of drugs; The drug return module standardizes the handling of situations where patients need to return drugs for various reasons, and records the reasons and procedures for drug returns in detail to protect the legitimate rights and interests of patients.

8. The regional drug management system according to any one of claims 1 to 7, characterized in that: The system also includes a regional drug integrated management center functional module, with specific functions including: Inventory Overall Management Submodule: Responsible for the overall management of inventory information of hospitals and drug manufacturers in the region, achieving reasonable allocation and optimal configuration of inventory resources to ensure a balanced and stable regional drug supply; Order processing and distribution submodule: This module is configured to receive and process drug orders from various hospitals, intelligently formulate distribution plans based on inventory status and distribution capabilities, and promptly distribute the orders to the corresponding distribution centers, hospitals, or drug manufacturers for delivery; Drug quality supervision submodule: used to supervise the quality of drugs entering the regional drug integrated management center to ensure that the quality of drugs meets relevant standards and regulations and ensure the safety of patients' medication; Information Sharing and Collaboration Submodule: Establish an information sharing platform to promote information exchange and collaboration among hospitals, drug manufacturers and distribution centers in the region to improve drug management efficiency and service levels; Emergency response and disposal submodule: It is configured to formulate emergency response plans. When emergencies such as drug shortages and quality accidents occur, the emergency response mechanism can be quickly activated to deal with them in a timely manner and reduce losses.

9. The regional drug management system according to any one of claims 1 to 8, characterized in that: The system also includes: Medication trend analysis submodule: focuses on analyzing the usage volume, frequency, and usage trends of drugs within a specific time period, providing data support for drug inventory management and procurement planning; Drug resistance monitoring and analysis submodule: Continuously monitors the resistance of bacteria or viruses to specific drugs and analyzes the development trend of drug resistance, providing important reference for formulating antimicrobial treatment strategies and adjusting medication regimens; Treatment effect difference analysis submodule: including: The function of analyzing the difference in therapeutic effects of different drugs is used to compare the differences in the effects of different drugs in treating the same or similar diseases, including indicators such as cure rate, remission rate, and adverse reaction rate, providing data support for optimizing drug selection; The function of analyzing the differences in therapeutic effects among different manufacturers is used to compare the differences in therapeutic effects of the same drug among different manufacturers, evaluate the impact of their production quality, process stability, and bioequivalence, and provide a reference for drug procurement and selection.

10. A regional drug management system, characterized in that: The system also includes: Macro-distribution and disease development trend analysis module: When a specific disease suddenly becomes prevalent, it is configured to conduct in-depth analysis of medication data from various regions through integrated big data processing technology to obtain the development trend of the disease; based on the development trend, it macro-adjusts the distribution of drugs in various regions to ensure that drugs can be reasonably allocated according to the actual development of the disease to meet the drug needs of each region and ensure the balance and stability of drug supply. The macro-distribution and disease development trend analysis module specifically includes the following steps: Data collection and integration: Real-time collection of drug usage data, inventory data, disease diagnosis data, and patient treatment data from hospitals, regional drug integrated management centers, and drug manufacturers; Disease development trend analysis: Utilizing big data processing technology and data mining algorithms, we conduct in-depth analysis of integrated data to identify epidemic trends of specific diseases. We also combine historical data with current actual conditions to predict future development trends of diseases. Drug demand forecasting: Based on the analysis of disease development trends, we predict the future demand for drugs in each region and the types of demand. We also comprehensively consider the inventory status, procurement cycle, and delivery time of drugs to formulate reasonable drug procurement and delivery plans. Macro-distribution strategy formulation: Based on drug demand forecasts, we plan distribution routes, arrange distribution sequences, and allocate vehicles; and prioritize the supply of drugs to high-incidence areas and those in urgent need. Real-time monitoring and adjustment: Real-time monitoring of drug delivery status and progress to ensure smooth implementation of delivery plans; and flexible adjustment of delivery strategies based on actual conditions and emergencies to address drug shortages or surpluses; Feedback and Improvement: Collect user feedback and data, evaluate delivery efficiency and service quality, and make improvements; and regularly summarize and analyze the operation of the module to provide experience and reference for subsequent optimization and upgrades.