Medical instrument demand management system and method based on big data

Abstract

The invention discloses a medical instrument demand management system and method based on big data, and the system comprises a demand trend module, a demand estimation module, a market analysis module, and a supply module, and relates to the technical field of medical instrument management. The technical key points are as follows: the use proportion of each age group is analyzed according to the deviation condition of the demands of different age groups for various medical instruments, so that the market demand of each medical instrument can be accurately speculated according to the age change condition of population; secondly, the diffusion trend and prevention and control requirements of various infectious diseases in a market area are known by analyzing treatment data, so that adjustment and planning are conveniently made before virus outbreak, the hysteresis quality of medical instrument supply is changed, and the requirements during market change are met; meanwhile, the upper limit of expansion of each supplier in the current market area can be known in combination with competitive product information and the market proportion, so that the production scale can be reasonably adjusted, and excessive competition and resource idleness are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of medical device management, and in particular to a medical device demand management system and method based on big data. Background Art

[0002] Big data medical device management refers to the integration, optimization and upgrading of various links such as the production, circulation and use of medical devices through big data technology to achieve digital management of the entire life cycle of medical devices. Its core is to use advanced technologies such as big data, cloud computing, the Internet of Things, and artificial intelligence to collect, store, analyze and apply relevant information of medical devices to improve the quality, safety and efficiency of medical devices. With the continuous development of society, medical devices are gradually moving towards international development, and the demand management of medical devices is becoming more and more complex. Through big data analysis, market demand can be accurately predicted, resource allocation can be optimized, international competitiveness can be enhanced, and efficient and safe operation of medical devices throughout their life cycle can be ensured.

[0003] At present, the Chinese patent with the existing patent application number "CN202311119878.2" discloses a medical device retail management method and system based on big data, which involves the field of commodity management and data processing technology. The medical device retail management method and system based on big data include: obtaining the product information uploaded by the first user, the product information includes product operation mode, price, and after-sales service; obtaining the second customer's comments or ratings on the product operation mode / price / after-sales service, and the second customer's overall rating of the product; obtaining the second user's query record and identity information; predicting the second user's price expectation range; selecting products for sale that belong to the price expectation range, and adjusting the push priority according to the second customer's rating of the product. Although the medical device retail management method and system based on big data can score the product operation mode, price, after-sales service information, etc., and then select the priority push method based on the rating, it lacks dynamic analysis of market area saturation and transportation costs, and it is difficult to achieve accurate supply and demand matching, resulting in inefficient resource allocation and inability to meet the complex and changing international market needs.

[0004] However, during the implementation of the above technical solution, it was found that there were at least the following technical problems: Not only is it unable to effectively predict market demand, but it also has very large limitations. The existing medical device management system mainly detects the "current" changes in market demand when in use, and lacks the ability to predict future trends, which makes suppliers always in a state of passive adjustment and difficult to respond to emergencies, resulting in an imbalance between supply and demand and affecting the rational allocation of medical resources. For example, a medical institution has purchased 1,000 infusion sets, and the daily consumption is 100 sets. Therefore, the purchased infusion sets can meet the needs for 10 days, and the supplier only needs to meet the goal of supplying at least 1,000 sets to the medical institution within 10 days, and will also reserve 100-200 sets for use in case of abnormalities, thereby achieving "supply and demand balance". However, in the actual use process, there are many uncertainties, the biggest of which is the impact of infectious viruses. Since infectious diseases are contagious and have a latent period, and the movement of virus carriers is irregular, this leads to actual consumption not meeting expectations. For example, during the influenza outbreak, the demand for infusion sets surged, and the existing system could not adjust the supply plan in time, resulting in tight inventory and unable to meet sudden demand; in addition, another major problem is market competition. Due to the existence of multiple suppliers in the market, fierce competition and frequent price fluctuations, there is a situation of "supply exceeding demand". This forms malicious competition, leading to further imbalance in resource allocation and chaotic market order. For some remote areas or other areas, there will be a situation of "supply exceeding demand", resulting in the inability to use resources reasonably and effectively. To this end, we proposed a medical device demand management system and method based on big data. Summary of the invention

[0005] 1. Technical issues to be resolved In view of the deficiencies in the prior art, the present invention provides a medical device demand management system and method based on big data, which solves the problems raised in the background technology.

[0006] (II) Technical solution To achieve the above objectives, the present invention is implemented through the following technical solutions: A medical device demand management system based on big data, the management system comprising: The demand trend module uses the historical usage of medical devices in the market area in the past three years and the population change data to calculate the usage ratio of each medical device in different age groups and the usage proportion of each medical device. Then, based on this, the market demand trend index and market demand of each medical device are analyzed. When the market demand trend index is in a state of rising year after year, a demand estimation instruction is issued, and the corresponding medical device is recorded as a rising demand medical device. The upper limit of market demand is analyzed, and the production strategy of medical devices is formulated according to the degree of deviation between the market demand and the upper limit of market demand; When the market demand trend index is stable year after year, a demand forecast instruction is issued; When the market demand trend index is in a state of continuous decline, a demand warning will be issued, and the market demand × 85% will be used as the current actual demand in the market area; The demand estimation module, upon receiving the demand estimation instruction, retrieves the number of patients with various diseases in the market area recently and the usage of the corresponding medical devices per unit time, estimates the demand change coefficient of medical devices in the market area under the disease spreading state, and then calibrates the market demand in the market area according to the obtained demand change coefficient to obtain the total demand of medical devices; The market analysis module uses the big data analysis model to obtain product information and competitors of the current medical device, and evaluates the market share and current production scale of each competitor's product. It then compares the current market medical device production scale with the total demand for medical devices obtained, and analyzes the saturation of medical devices in the current market area based on the degree of deviation between the two. Similarly, the saturation analysis method is used to obtain the current saturation level of each market area, and then the average saturation level is calculated. When the average saturation level is higher than the current saturation level, an emergency warning is issued, the production volume is increased according to the market share, and the corresponding market area is recorded as a demand area; otherwise, a regulation warning is issued, and the production volume is reduced according to the market share; When receiving an urgent warning, the supply module retrieves the medical equipment reserves and coordinates of each market area, uses the navigation system to generate the distance and transportation costs from each market area to the demand area, and calculates the supply balance ratio and profit value of medical equipment per unit time. If the supply balance ratio is between 95% and 110% and the profit value is greater than 90% of the standard profit, no response is made; otherwise, the total amount of medical equipment that can be transported is calculated, and the medical equipment is delivered to the demand area with the total amount of medical equipment that can be transported.

[0007] Furthermore, the analysis process of the market demand trend index is as follows: According to the set age span value D, the patients are divided into different age groups according to the set D; Obtain the medical information of patients in each age group. The medical information includes the type of medical device used, the average number of the same medical device used per person, and the number of patients in the current age group, which are recorded as , , , where the average number of medical devices used per person is <0.6, the medical device type is recorded as a discardable medical device type and removed from the types of medical devices used. The removed medical device type is recorded as ; By analyzing the formula Get the usage ratio of the jth medical device , where represents the average number of medical devices used by each person in the current age group. represents the number of patients who need the jth type of medical device in the current age group, represents the total demand for the jth medical device in the i-th age group, M represents the number of age groups divided, represents the total demand for medical devices used in the i-th age group; By analyzing the formula Get the usage ratio of the jth medical device in the current age group , where , then it will be The corresponding medical devices are recorded as high-demand medical devices for the current age group; otherwise, no response is made; Obtain the population change data in the market area in the past three years. The population change data includes the growth rate of the number of people in each age group and the change in the number of patients, which are recorded as , ; By analyzing the formula Get the market demand trend index of the kth medical device And the sum of usage ratio and usage percentage , where Indicates the correction factor of the preset market demand trend index, represents the usage proportion of the kth medical device, represents the usage ratio of the kth medical device, e represents a preset constant, a represents a preset constant, a>1, Ka represents a preset constant, 5>ka≥3, Respectively represent the sum of the preset usage ratio and usage proportion and the weight of the change ratio, and , Z represents the total number of age groups with the kth medical device as a high-demand medical device, represents the growth rate of the i-th age group, represents the change in the number of patients in the i-th age group, represents the total number of patients who need the kth type of medical device, represents the average number of medical devices used per person of the kth type, where When <0.5%, Recorded as 1; The market demand trend index of the kth medical device Based on the total amount of medical devices on the market and the total amount of the kth medical device purchased in the market area last time , and obtain the market demand for the kth medical device per unit time .

[0008] Furthermore, the market demand trend index analysis method is used to obtain the market demand trend index of the kth medical device in the past three years, which are recorded as , , ,when > ×120% and > ×120%, the market demand for the k-th medical device is recorded as a continuous increase year by year, and the k-th medical device is recorded as a rising demand medical device, and the upper limit of the market demand is analyzed; when ×90%≤ ≤ ×120% and ×90%≤ ≤ ×120%, the market demand for the kth medical device is recorded as being stable year after year; when < ×90% and < ×90%, the market demand for the kth medical device is recorded as a continuous decline; The specific process of analyzing the upper limit of market demand is as follows: Retrieve the historical market area data where the demand for the k-th medical device is in a stable state for consecutive years. The historical market area data includes the total number of people in the historical market area, the purchase volume of the k-th medical device, and the purchase time interval, which are recorded as , , ; By analyzing the formula Get the upper limit of market demand for the kth medical device , where R represents the number of historical market regions where the demand for the k-th medical device is stable year after year, represents the purchase volume of the kth medical device in the ith historical market area, represents the time interval between the purchase of the kth medical device in the i-th historical market area, represents the total number of people in the i-th historical market area, Indicates the total number of people in the current market area.

[0009] Furthermore, the specific process of the medical device production strategy is as follows: When the market demand limit ≥ Market demand ×2, a production optimization instruction is issued to call the medical device production line that has been in a state of continuous decline to produce the kth medical device; When market demand ×2>Market demand ceiling ≥ Market demand ×1.2, no response; When market demand ×1.2>Market demand ceiling When the production backup instruction is received, the production line of the kth medical device (10-20)% is recorded as the callable production line. If the production optimization instruction is not received, the callable production line can continue to execute the production of the kth medical device; otherwise, the callable production line can execute the production of the medical device corresponding to the production optimization instruction.

[0010] Furthermore, the process of estimating the coefficient of change in demand for medical devices in the market area under the state of disease spread is as follows: Randomly select a medical institution in the market area, obtain the medical conditions for which the medical institution uses the kth medical device, and divide them into a communicable disease set and a non-communicable disease set according to whether they are communicable; By analyzing the formula Get the demand change coefficient of the kth medical device under the disease diffusion state , where X represents the number of types of non-communicable diseases in the non-communicable disease set, represents the total number of patients who visited medical institutions for non-communicable diseases. It indicates the total number of people within 2km of a medical institution. represents the average number of k-th medical devices required per person for the i-th disease, represents the number of patients using the kth medical device in the communicable disease set, represents the average incubation period of communicable diseases in the communicable disease set, Indicates the duration of the communicable disease in the communicable disease collection.

[0011] Furthermore, using the demand change coefficient of the kth medical device under the disease diffusion state Correct the market demand, when the demand change coefficient ≥ the preset deviation threshold, As the total demand for medical devices after proofreading; On the contrary, As the total demand for medical devices after proofreading.

[0012] Furthermore, the analysis process of the degree of saturation of medical devices in the current market area is as follows: Input the information of the medical device to be queried, and obtain the product information of the existing medical devices in the market area, wherein the product information includes the function, the storage quantity in the market area, and the selling price. When the functional overlap between the existing medical devices in the market area and the input medical devices is greater than 75%, the existing medical devices are recorded as competing products, and the suppliers selling competing products are recorded as competitors; otherwise, no response is made; Obtain the total amount of competing products sold by each competitor per unit time and the current production scale, and use the average sales volume of each competitor in the market area in the previous quarter to calculate the market share of each competitor , where W represents the number of competitors, represents the average sales volume of the ith competitor in the previous quarter. ≤ When , the competitor is recorded as a first-level competitor; when > > When , the competitor is recorded as a secondary competitor; when ≥ , then the competitor is recorded as a third-level competitor; Similarly, using the total production scale of each competitor Compared with the total demand for medical devices, when the total production scale When the total demand for medical devices is exceeded, the current market area is in an oversaturated state; otherwise, it is in an unsaturated state, and the current saturation degree is calculated, where: represents the daily production of the ith competitor; By analyzing the formula Get the saturation level of the current market area , where Respectively represent the number of first-level competitors, the number of second-level competitors, and the number of third-level competitors. represents the average sales volume of the xth competitor among the first-level competitors in the previous quarter, represents the average sales volume of the yth competitor among the second-level competitors in the previous quarter, represents the average sales volume of the zth competitor in the three-level competitors in the previous quarter, Respectively represent the weights of the preset first-level competitors, second-level competitors, and third-level competitors. When it is greater than 2, an additional command will be issued to increase production; otherwise, no response will be given.

[0013] Furthermore, the saturation analysis method is used to calculate the saturation level of each market area and the average saturation level , where B represents the number of market areas, represents the saturation level of the i-th market area. When the average saturation level > Saturation If the market share is higher than the target, an emergency warning will be issued and the production volume will be increased according to the market share; otherwise, a regulatory warning will be issued and the production volume will be reduced according to the market share; the details are as follows: When receiving an urgent warning, As the production volume is increased, the available production line is activated, where: represents the average sales volume of the current supplier in the previous quarter, Indicates that the current supplier has production capacity; when receiving the regulation warning, As the production volume after the reduction, the production lines that are free after the reduction are recorded as available production lines.

[0014] Furthermore, the calculation formula for calculating the supply balance ratio and profit value of medical devices per unit time is as follows: ;

[0015] In the formula, represents the supply balance ratio of medical devices within a unit time, G represents the total number of market areas within 50km around the current market area, S represents the number of abandoned market areas, represents the number of the kth type of medical devices stored in the i-th market area, represents the delivery ratio of the kth medical device per unit time, represents the profit value of medical device supply, represents the selling price of the kth medical device, represents the production cost of the kth medical device, represents the distance from the ith market area to the current market area, Represents the cost per unit transport length, where ≥( ) × 12%, the corresponding market area will be recorded as a discardable area and the quantity will be recorded as S; otherwise, no response will be made.

[0016] A medical device demand management method based on big data includes the following steps: Using the historical usage of each medical device in the market area in the past three years and the population change data, calculate the usage ratio of each medical device in different age groups and the usage proportion of each medical device, and then analyze the market demand trend index and market demand of each medical device based on this; Retrieve the number of patients with various diseases in the market area recently and the usage of the corresponding medical devices per unit time, estimate the demand change coefficient of medical devices in the market area under the disease spreading state, and then calibrate the market demand in the market area according to the obtained demand change coefficient to obtain the total demand for medical devices; Obtain product information and competitors of current medical devices based on big data analysis models, and evaluate the market share and current production scale of each competitor's products. Then compare the current market medical device production scale with the total demand for medical devices obtained, and analyze the saturation of medical devices in the current market area based on the degree of deviation between the two. The medical equipment reserves and coordinates of each market area are retrieved, and the navigation system is used to generate the distance and transportation costs from each market area to the demand area. The supply balance ratio and profit value of medical equipment per unit time are calculated. If the supply balance ratio is between 95% and 110% and the profit value is greater than 90% of the standard profit, no response is made; otherwise, the total amount of medical equipment that can be transported is calculated, and the medical equipment is delivered to the demand area based on the total amount of medical equipment that can be transported.

[0017] (III) Beneficial effects The present invention provides a medical device demand management system and method based on big data, which has the following beneficial effects: By utilizing the deviations in demand for various medical devices among different age groups and analyzing the usage ratios of each age group, we can accurately infer the market demand for various medical devices based on changes in population age, meet the daily resource needs of medical institutions, and effectively avoid waste and shortages of resources. Secondly, by analyzing medical treatment data, we can understand the spread trends and prevention and control needs of various infectious diseases in the market area, so as to make adjustments and plans before the virus breaks out, ensure timely and efficient emergency response, and thus change the "lag" in the supply of medical devices to meet the needs of market changes. At the same time, combined with competitor information and market share, we can understand the upper limit of what each supplier can expand in the current market area, so as to reasonably adjust the scale of production and avoid excessive competition and idle resources. Finally, by real-time monitoring of transportation costs and supply and demand balance, we can ensure efficient deployment of medical devices, reduce operational risks, and improve overall economic benefits.

[0018] By obtaining product information and competitors that compete with current medical devices in the market area, evaluating their market share and production scale, we can determine the current competition difficulty of medical devices in the market area, so as to provide manufacturers with an objective evaluation standard to avoid unnecessary resource loss and economic investment due to lack of understanding of the market. Then, we can combine the market demand and production scale for comparative analysis, accurately adjust the production plan, ensure the balance between supply and demand, optimize resource allocation, reduce the risk of blind production, improve market response speed, and maximize economic benefits. At the same time, monitor data changes in real time and adjust strategies flexibly. In addition, we can carry out regional sales according to the saturation of different market areas, reasonably allocate resources, avoid local surplus or shortage, further optimize the supply chain and supplier production management, effectively prevent the "involution" phenomenon, and help open up new markets. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flowchart of the overall structure of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0021] There are two major problems with the existing medical device management system: first, it is impossible to effectively predict market demand; due to the lack of dynamic data analysis, resource allocation is unreasonable and supply and demand imbalances often occur; second, the degree of saturation of each market area is not understood; due to the different supply relationships in different market areas, and for external suppliers, it is impossible to effectively understand whether there is still room for development in the current market area, which makes market development very difficult, severely limiting the company's expansion potential, thus forming a serious "involution" phenomenon.

[0022] Taking medical institutions in the market area as an example, suppose a medical institution has purchased 1,000 infusion sets, and the daily consumption is 100 sets. Therefore, the purchased infusion sets can meet the needs for 10 days, and the supplier only needs to meet the goal of supplying at least 1,000 sets to the medical institution within 10 days. At the same time, 100-200 sets will be reserved for use in case of abnormalities, thereby achieving "supply and demand balance". However, in actual use, there are many uncertainties, the biggest of which is the impact of infectious viruses. Because infectious diseases are contagious and have incubation periods, and the movement of virus carriers is irregular, this leads to actual consumption not meeting expectations. For example, during an influenza outbreak, the demand for infusion sets surges, and the existing system is unable to adjust the supply plan in time, resulting in tight inventory and inability to meet sudden demand.

[0023] In addition, due to the existence of multiple suppliers in the market, fierce competition and frequent price fluctuations, there is a situation of "supply exceeding demand". This leads to malicious competition ("involution"), further imbalance in resource allocation and market disorder. For some remote areas or other areas, there will be a situation of "supply exceeding demand", resulting in the inability to use resources reasonably and effectively.

[0024] From the above, we can see that the existing medical device management system, when in use, mainly detects the "current" changes in market demand, lacks the ability to predict future trends, and makes suppliers always in a state of passive adjustment, making it difficult to respond to emergencies, resulting in an imbalance between supply and demand, and affecting the rational allocation of medical resources. Therefore, not only can it not effectively predict market demand, but it also has very large limitations.

[0025] Example 1: Please refer to Figure 1 This embodiment provides a medical device demand management system based on big data, the management system comprising: 1. Define the market area Since medical institutions are limited by location and size, they are regional, that is, the scope of influence of medical institutions is limited, which is also the reason why medical institutions are densely distributed. It is also based on this influence that in order to accurately obtain the demand for medical devices by user institutions, it is necessary to divide them into different regions. Common division methods include division by administrative region, national region, and population density, etc., and this application is aimed at "national regional division". For example, the United States has 50 states and 1 special district, and each state or special district has its own unique medical needs and resource distribution. And each state is an independent "market area". Therefore, the United States has 51 "market areas". The reason for adopting the market area division method is to facilitate the system to more accurately predict the specific needs of each region and avoid waste or shortage of resources. Through big data analysis, the system can monitor the medical needs and resource usage of each region in real time, combine historical data and epidemiological models, and predict future demand trends, so as to adjust the supply plan in advance, ensure the balance of supply and demand, reduce resource waste and shortages, and improve the efficiency of medical resource utilization.

[0026] 2. Market demand analysis Through big data analysis, the system can monitor the medical needs and resource usage in each region in real time, and combine historical data and epidemiological models to predict future demand trends, so as to adjust the supply plan in advance, ensure the balance between supply and demand, reduce resource waste and shortages, and improve the efficiency of medical resource utilization. At the same time, the system must also consider patient privacy protection and algorithm transparency, avoid infringements, and ensure fairness. Through this precise regional division and demand analysis, the system can effectively avoid the phenomenon of "oversupply" or "shortage of supply" and ensure that medical resources in each region are reasonably allocated. In addition, combined with the application of AI technology, the system can also provide more personalized medical services while protecting patient privacy, further improving diagnosis and treatment efficiency and patient satisfaction.

[0027] Since the use of medical devices is closely related to age, we can analyze the medical needs of people of different age groups and accurately predict the demand for medical devices in each age group. Then, combined with the changing trend of the population age in the region, we can timely understand the future demand trend for different medical devices in the market area, so as to formulate a more targeted supply strategy. For example, areas with a large elderly population have a higher demand for cardiovascular devices, while areas with a concentrated young population may have a greater need for fertility and rehabilitation devices. Through this detailed demand forecast, we can not only optimize resource allocation, but also improve the quality of medical services and meet the personalized needs of different groups of people.

[0028] 21. Proportion The proportion of medical device usage varies significantly in different regions. In areas with a dense elderly population, cardiovascular devices are used more frequently; in areas with a concentrated young population, there is a large demand for fertility and rehabilitation devices (cardiovascular devices account for 45% in elderly areas, and fertility devices account for 30% in young areas). Accurate analysis of the usage proportion in each region will help to rationally allocate resources, ensure that the supply of medical devices is highly matched to actual demand, and improve the overall level of medical services.

[0029] Before analysis, the population in the market area needs to be divided into detailed age structures to facilitate clear population proportions in each age group, thereby more accurately predicting the demand for various types of medical devices.

[0030] Enter the age span value D into the system, and then according to the D value, the system automatically divides the age groups, and combines the population data in the area to generate the population proportion of each age group. Assuming that the set age span value is 10 years old, the system divides the population into age groups such as 0-10 years old and 11-20 years old, and displays the proportion of each age group, such as 0-10 years old accounts for 15%, and 11-20 years old accounts for 20%. Based on this data, the demand for medical devices in each age group is predicted, such as 0-10 years old requires children's health care equipment, and 11-20 years old requires sports rehabilitation equipment, so as to formulate precise supply strategies. Through this detailed age structure division, the system can more accurately predict the specific needs of each age group for medical devices, and then optimize supply chain management, ensure that the supply of medical devices is highly consistent with actual demand, reduce inventory backlogs and shortages, and improve the overall efficiency and quality of medical services.

[0031] After age classification, collect the medical information of patients in each age group, including the types of medical devices used , the average number of medical devices used by each person And the number of patients in the current age group , count the specific needs of patients of different ages for medical devices, and combine the frequency and quantity of use to form a detailed data report. Through the analysis report, we can accurately grasp the actual use of medical devices in different age groups, provide a scientific basis for subsequent procurement and allocation, ensure efficient use of resources, and further improve the accuracy of medical services and patient satisfaction.

[0032] In order to reduce the amount of calculation and interference during calculation, the average number of times the same medical device is used per person is <0.6, the medical device type is recorded as a discardable medical device type and removed from the types of medical devices used. The removed medical device type is recorded as . Usage ratio and usage ratio The calculation formula is as follows: (1-1) (1-2) In formulas (1-1) to (1-2), represents the usage proportion of the jth medical device, represents the usage ratio of the jth medical device in the current age group, represents the average number of medical devices used by each person in the current age group. represents the number of patients who need the jth type of medical device in the current age group, represents the total demand for the jth medical device in the i-th age group, M represents the number of age groups divided, It represents the total demand for medical devices used in the i-th age group. When the proportion of medical devices used is less than 0.6, the system automatically removes them.

[0033] when , then it will be The corresponding medical devices are recorded as high-demand medical devices for the current age group; otherwise, no response is made.

[0034] This will enable us to accurately analyze the usage ratio of various medical devices in the current market area, optimize resource allocation, avoid resource waste, ensure that the needs of patients of all ages are effectively met, and further improve the level of medical services. At the same time, it will be convenient to analyze the demand trend of corresponding medical devices according to population changes, dynamically adjust procurement plans, ensure that the supply of medical devices matches actual demand, and improve resource utilization efficiency. Through this refined management model, medical institutions can not only make efficient use of existing resources, but also accurately connect with the research and development and promotion of innovative drugs and medical devices.

[0035] 22. Market demand trends By accurately analyzing the proportion of medical device use in each age group, medical institutions can dynamically adjust procurement plans to ensure efficient use of resources. After that, they only need to analyze the age change trend of the population in the market area (using census data) to predict the changes in demand for medical devices in different age groups in the future, so as to make procurement preparations in advance and avoid imbalances between supply and demand. At the same time, combined with historical data and market research, the demand forecasting model is further refined to more accurately grasp market dynamics, optimize inventory management, reduce operating costs, improve service quality, ensure that patients' needs are met in a timely manner, and enhance the competitiveness of medical institutions.

[0036] In order to analyze the future population change trend, we use the population change data in the market area in the past three years. The population change data includes the growth rate of the number of people in each age group. and the change in the number of patients ,Through these data, a dynamic population change model can be constructed, and ,combined with the analysis of the proportion of medical ,device usage, the specific demand for medical devices in each age group in the future can be ,predicted.

[0037] Based on the above population change data, we analyze the correlation between population growth in each age group and demand for medical devices, refine the forecast model, and ensure that procurement plans are more forward-looking, resource allocation is more reasonable, and medical services are more efficient. Combined with real-time data dynamic adjustment, we can accurately respond to market changes and enhance the comprehensive competitiveness of medical institutions. Among them, the market demand trend index of medical devices The calculation formula is as follows: (1-3) (1-4) In formulas (1-3) to (1-4), It represents the sum of usage ratio and usage proportion. represents the market demand trend index of the kth medical device, Indicates the correction factor of the preset market demand trend index, represents the usage proportion of the kth medical device, represents the usage ratio of the kth medical device, e represents a preset constant, a represents a preset constant, a>1, Ka represents a preset constant, 5>ka≥3, Respectively represent the sum of the preset usage ratio and usage proportion and the weight of the change ratio, and , Z represents the total number of age groups with the kth medical device as a high-demand medical device, represents the growth rate of the i-th age group, represents the change in the number of patients in the i-th age group, represents the total number of patients who need the kth type of medical device, represents the average number of medical devices used per person of the kth type, where When <0.5%, Recorded as 1; The market demand trend index of the kth medical device Based on the total amount of medical devices on the market and the total amount of the kth medical device purchased in the market area last time , and obtain the market demand for the kth medical device per unit time , the formula is as follows: (1-5) By accurately calculating each parameter, the accuracy of the forecast is ensured, which in turn guides production and procurement strategies, optimizes resource allocation, and improves market response speed. At the same time, it comprehensively considers demand trends, usage ratios, and age group changes to accurately reflect market demand dynamics, help companies make efficient decisions, reduce inventory risks, and enhance market competitiveness. Through this formula, companies can accurately grasp the pulse of the market, combined with survey data that nearly 94% of consumers choose cost-effective products and 90.72% choose high-quality products, further optimize the supply chain, reduce costs, ensure product cost-effectiveness, meet consumer needs, improve user experience, and consolidate market share.

[0038] Using the market demand trend index analysis method, the market demand trend index of the kth medical device in the past three years is obtained, which are recorded as , , ,when > ×120% and > ×120%, the market demand for the kth medical device is recorded as a continuous increase, the kth medical device is recorded as a rising demand medical device, the upper limit of the market demand is analyzed, a demand estimation instruction is issued, and the corresponding medical device is recorded as a rising demand medical device, the upper limit of the market demand is analyzed, and the production strategy of the medical device is formulated according to the degree of deviation between the market demand and the upper limit of the market demand; when ×90%≤ ≤ ×120% and ×90%≤ ≤ ×120%, the market demand for the kth medical device is recorded as a stable state year after year, and a demand estimation instruction is issued; when < ×90% and < ×90%, the market demand for the kth medical device will be recorded as a declining state year after year; a demand warning will be issued, and the market demand × 85% will be taken as the current actual demand in the market area.

[0039] According to different demand conditions, we adjust production plans, optimize inventory management, ensure reasonable resource allocation, reduce operating costs, and enhance corporate competitiveness. Through accurate data analysis, we dynamically adjust market strategies, ensure supply and demand balance, and achieve sustainable development. At the same time, we establish a real-time monitoring mechanism, pay close attention to market trends, capture demand changes in a timely manner, ensure the timeliness and accuracy of decision-making, further consolidate market position, and enhance brand influence.

[0040] Market demand ceiling: Taking the kth medical device in the market area as an example, in order to obtain more representative data, it is necessary to first obtain data from other market areas in a stable state, that is, market areas where the demand for the kth medical device is in a balanced supply and demand state (stable year after year). The historical market area data includes the total number of people in the historical market area. , the purchase volume of the kth medical device and the time interval between purchases , using the data of the market area being in a stable state for consecutive years, analyze the upper limit of market demand. The formula for calculating the upper limit of market demand is as follows: (1-6) The above formula is the upper limit analysis formula of market demand, where: represents the upper limit of the market demand for the k-th medical device, R represents the number of historical market regions where the demand for the k-th medical device is stable year after year, represents the purchase volume of the kth medical device in the ith historical market area, represents the time interval between the purchase of the kth medical device in the i-th historical market area, represents the total number of people in the i-th historical market area, Indicates the total number of people in the current market area.

[0041] When the market demand limit ≥ Market demand ×2, a production optimization instruction is issued to call the medical device production line that has been in a state of continuous decline to produce the kth medical device; When market demand ×2>Market demand ceiling ≥ Market demand ×1.2, no response; When market demand ×1.2>Market demand ceiling , a production backup instruction is issued, and 10%-20% of the k-th medical device production line is recorded as the callable production line (10% or 20% of the k-th medical device production line can be freely selected as the callable production line according to the needs). If no production optimization instruction is received, the callable production line can continue to execute the production of the k-th medical device; otherwise, the callable production line can execute the production of the medical device corresponding to the production optimization instruction. For example, when there are 10 production lines for the k-th medical device, 1-2 production lines can be called, if 10% is selected, it is 1, and if 20% is selected, it is 2, ensuring that production flexibility matches market demand.

[0042] This method can accurately predict the upper limit of market demand, provide scientific basis for enterprises in resource allocation, market expansion, etc., help enterprises make efficient decisions, ensure maximum utilization of resources, and enhance market competitiveness.

[0043] 3. Market demand forecast Market demand forecasting needs to combine historical data and market dynamics, and accurately predict future demand trends through multi-dimensional analysis to ensure that production is highly matched with market demand, avoid waste of resources, and enhance the ability of enterprises to cope with market changes. The factor that has the greatest impact on medical devices in the existing market area is "infectious" diseases. For "non-infectious" diseases, their demand is in a stable state. For example, the demand for medical devices for chronic diseases such as hypertension and diabetes is relatively stable, and there will basically be no significant demand changes. On the contrary, for "infectious" diseases, due to their uncontrollability and suddenness, demand fluctuates violently. It is necessary to monitor the epidemic dynamics in real time, flexibly adjust production strategies, ensure timely supply, and reduce market risks. Therefore, when estimating market demand, enterprises must focus on the epidemic trends of infectious diseases. We use the recent medical information of patients in the market area, combined with key factors such as age, gender, and disease type, to build a demand forecasting model, update data in real time, retrieve the number of patients with various diseases in the market area recently and the corresponding medical device usage per unit time, estimate the demand change coefficient of medical devices in the market area under the state of disease diffusion, and then calibrate the market demand in the market area based on the obtained demand change coefficient.

[0044] Randomly select a medical institution (or multiple medical institutions) in the market area, obtain the medical conditions for the medical institution using the kth medical device, and divide them into a communicable disease set and a non-communicable disease set according to whether they are communicable. For example, common masks are non-communicable diseases for chronic respiratory diseases such as asthma, and the demand is stable. For some small clinics, only 10 boxes may be consumed per day; while the mask machine during the epidemic is a communicable disease-related device, and the demand fluctuates greatly. Assuming that each person needs one box during the infection, as the number of sick people continues to increase, the demand will increase exponentially, and 50 boxes or even more may be consumed per day. Through classification analysis, we can more accurately predict the demand trends of various types of equipment and optimize production plans. On this basis, we further refine the data granularity, combine seasonal factors and regional differences, and dynamically adjust the prediction model parameters to ensure the accuracy and reliability of the prediction results. Through this refined management and forward-looking layout, enterprises can not only effectively respond to market fluctuations, but also seize the initiative in a highly competitive market environment and achieve sustainable development.

[0045] ;

[0046] In the formula, represents the demand change coefficient of the kth medical device under the disease diffusion state, X represents the number of non-communicable diseases in the non-communicable disease set, represents the total number of patients who visited medical institutions for non-communicable diseases. It indicates the total number of people within 2km of the medical institution (can be adjusted freely as needed and not limited to 2km). represents the average number of k-th medical devices required per person for the i-th disease, represents the number of patients using the kth medical device in the communicable disease set, represents the average incubation period of communicable diseases in the communicable disease set, Indicates the duration of the communicable disease in the communicable disease collection.

[0047] After data verification, the model prediction results are highly consistent with actual demand, which verifies the scientificity and practicality of the method and provides strong support for corporate decision-making. By real-time monitoring of data changes, timely adjustment of inventory and supply chain strategies can ensure supply and demand balance and reduce operational risks. Combined with big data analysis, high-demand areas can be accurately located, resource allocation can be optimized, and market response speed can be improved. Driven by refined data, enterprises can flexibly respond to sudden demands, improve service quality, enhance customer satisfaction, and consolidate their market position. Continuously optimize the model and improve prediction accuracy to help enterprises operate efficiently and achieve long-term stable development.

[0048] Using the demand change coefficient of the kth medical device under the disease diffusion state Correct the market demand, when the demand change coefficient ≥ the preset deviation threshold, As the total demand for medical devices after proofreading; On the contrary, As the total demand for medical devices after proofreading, the model can ensure efficient use of resources, reduce waste, and improve emergency response capabilities by dynamically adjusting strategies. The application of the model not only optimizes supply chain management, but also enhances the company's adaptability to market fluctuations, providing a strong guarantee for public health safety.

[0049] Through the above methods, the real demand in the market area can be accurately obtained, thereby avoiding the supply and demand deviation caused by the rapid changes in market demand, and then formulating more targeted marketing strategies and inventory management plans, effectively reducing inventory backlogs and out-of-stock risks, and improving capital turnover efficiency.

[0050] 4. Market saturation analysis Although the market demand can be obtained by using the market demand forecast data, when facing the market, due to the existence of various "competitive products" in the market, market share is prioritized. In order to have a comprehensive understanding of the market, it is necessary to consider whether the current market area has reached saturation. If the market saturation is high, it is necessary to adjust the marketing strategy, open up new markets or launch differentiated products to avoid excessive competition; if the saturation is low, increase investment, increase market share, and seize market opportunities. Therefore, it is necessary to analyze according to the market saturation situation. The steps for market saturation analysis are as follows: S001. Input the medical device information to be queried, and obtain the product information of existing medical devices in the market area, where the product information includes function, storage volume in the market area, and selling price. According to the big data analysis model, when the functional overlap between the existing medical devices in the market area and the input medical devices is greater than 75%, the existing medical devices will be recorded as competing products, and the suppliers selling competing products will be recorded as competitors; otherwise, no response will be made.

[0051] For example, ordinary medical masks and N95 masks are interchangeable in function. Ordinary medical masks are mainly suitable for daily protection, can block larger particles such as droplets and dust, and are suitable for general medical environments and daily wear. N95 masks are particulate protection masks with higher filtration efficiency. They can effectively block at least 95% of non-oily particles, including tiny particles such as viruses and bacteria, and are often used in high-risk medical environments and industrial protection. It can be seen from this that ordinary medical masks are inferior substitutes for N95 masks, and the functions of the two overlap. Therefore, when analyzing market saturation, ordinary medical masks and N95 masks need to be regarded as competing products, and their market share and supply and demand conditions need to be evaluated in order to formulate market strategies more accurately. Through this method, companies can more effectively judge market saturation, optimize resource allocation, and enhance market competitiveness.

[0052] S002. Obtain the total amount of competing products sold by each competitor per unit time and the current production scale, and calculate the market share of each competitor using the average sales volume of each competitor in the market area in the previous quarter (the last three months) , where W represents the number of competitors, represents the average sales volume of the ith competitor in the previous quarter. ≤ When , the competitor is recorded as a first-level competitor; when > > When , the competitor is recorded as a secondary competitor; when ≥ , then the competitor is recorded as a third-level competitor. This allows the competitors to be classified, facilitating subsequent classification analysis.

[0053] S003, Similarly, using the total production scale of each competitor Compared with the total demand for medical devices, when the total production scale When the total demand for medical devices is exceeded, the current market area is in an oversaturated state; otherwise, it is in an unsaturated state, and the current saturation degree is calculated, where: represents the daily production of the ith competitor; S004, by analyzing the formula Get the saturation level of the current market area , where Respectively represent the number of first-level competitors, the number of second-level competitors, and the number of third-level competitors. represents the average sales volume of the xth competitor among the first-level competitors in the previous quarter, represents the average sales volume of the yth competitor among the second-level competitors in the previous quarter, represents the average sales volume of the zth competitor in the three-level competitors in the previous quarter, Respectively represent the weights of the preset first-level competitors, second-level competitors, and third-level competitors. When it is greater than 2, an additional command will be issued to increase production; otherwise, no response will be given.

[0054] S005. Use the saturation analysis method to calculate the saturation level of each market area and calculate the average saturation level , where B represents the number of market areas, represents the saturation level of the i-th market area. When the average saturation level > Saturation If the market share is positive, an emergency warning will be issued and the production volume will be increased according to the market share; otherwise, a regulatory warning will be issued and the production volume will be reduced according to the market share. When receiving an urgent warning, As the production volume is increased, the available production line is activated, where: represents the average sales volume of the current supplier in the previous quarter, Indicates that the current supplier has production capacity; When receiving a regulatory warning, As the production volume after the reduction, the production lines that are free after the reduction are recorded as available production lines.

[0055] Through the above methods, we can see that market dynamics are closely linked to the competitive landscape. Accurate classification and saturation analysis provide a strong basis for decision-making, ensuring the rational allocation of resources and balanced market development. At the same time, this method can also effectively predict future market trends, make arrangements in advance, avoid imbalances in supply and demand, enhance corporate competitiveness, and achieve sustainable development. Accurate market classification and saturation analysis not only help companies make scientific decisions, but also provide data support for the government to formulate future industrial policies.

[0056] 5. Supply Chain Analysis Supply chain analysis retrieves the medical equipment reserves and coordinates of each market area, uses the navigation system to generate the distance and transportation costs from each market area to the demand area, and calculates the supply balance ratio and profit value of medical equipment per unit time. If the supply balance ratio is between 95% and 110% and the profit value is greater than 90% of the standard profit, no response will be made; otherwise, the total amount of medical equipment that can be transported is calculated, and the medical equipment is delivered to the demand area based on the total amount of medical equipment that can be transported.

[0057] The calculation formula for calculating the supply balance ratio and profit value of medical devices per unit time is as follows: (5-1) (5-2) In formula (5-1), It represents the supply balance ratio of medical devices per unit time. G represents the total number of market areas within 50km (can be adjusted freely as needed and not limited to 50km) around the current market area. S represents the number of abandoned market areas. represents the number of the kth type of medical devices stored in the i-th market area, It represents the delivery ratio of the kth medical device per unit time; In formula (5-2), represents the profit value of medical device supply, represents the selling price of the kth medical device, represents the production cost of the kth medical device, represents the distance from the ith market area to the current market area, Indicates the cost per unit transport length.

[0058] Among them, if ≥( ) × 12%, the corresponding market area will be recorded as a discardable area and the quantity will be recorded as S; otherwise, no response will be made.

[0059] By calculating the supply balance ratio and profit value of medical devices per unit time, combined with real-time market data and historical demand trends, the medical device allocation strategy of each market area is dynamically adjusted to ensure supply and demand balance and maximize profits. The system automatically identifies high-risk areas, prioritizes their medical device supply, and reduces operational risks. At the same time, the system monitors inventory changes in each region in real time, predicts future demand fluctuations, and adjusts distribution plans in a timely manner to ensure efficient use of resources and improve overall operational efficiency. Through intelligent algorithms to optimize resource allocation, the system accurately allocates medical devices based on real-time data and forecasting models to reduce inventory backlogs and transportation costs. Combined with "artificial intelligence +" technology, efficient coordination of all links in the supply chain is achieved, response speed is improved, and timely supply of medical devices at critical moments is ensured, further strengthening the transparency of cooperation and professional division of labor between organizations, and promoting the healthy development of the industrial ecosystem.

[0060] The weight coefficient is determined by the coefficient of variation method, which is a method of weighting each indicator according to the degree of variation between the current value of each evaluation indicator and the target value. If the numerical difference of an indicator is large, it can clearly distinguish the evaluated objects, indicating that the indicator has rich discrimination information, and thus the indicator should be given a larger weight. On the contrary, if the numerical difference of each evaluated object on a certain indicator is small, then the ability of this indicator to distinguish the evaluation objects is weak, and thus the indicator should be given a smaller weight. This method directly uses the information contained in each indicator to obtain the weight of the indicator through calculation, so it is objective.

[0061] Example 2: Based on Example 1, this example also provides a medical device demand management method based on big data, including the following specific steps: Using the historical usage of medical devices in the market area in the past three years and population change data, calculate the usage ratio of each medical device in different age groups and the usage proportion of each medical device, and then analyze the market demand trend index and market demand of each medical device based on this. When the market demand trend index is in a state of rising year after year, issue a demand estimation instruction, and record the corresponding medical device as a rising demand medical device. Analyze the upper limit of market demand, and formulate a medical device production strategy according to the degree of deviation between the market demand and the upper limit of market demand; When the market demand trend index is stable year after year, a demand forecast instruction is issued; When the market demand trend index is in a state of continuous decline, a demand warning will be issued, and the market demand × 85% will be used as the current actual demand in the market area; When receiving the demand estimation instruction, the number of patients with various diseases in the market area in recent time and the usage of the corresponding medical devices per unit time are retrieved to estimate the demand change coefficient of medical devices in the market area under the disease spreading state, and then the market demand in the market area is corrected according to the obtained demand change coefficient to obtain the total demand of medical devices; Obtain product information and competitors of current medical devices based on big data analysis models, and evaluate the market share and current production scale of each competitor's products. Then compare the current market medical device production scale with the total demand for medical devices obtained, and analyze the saturation of medical devices in the current market area based on the degree of deviation between the two. Similarly, the saturation analysis method is used to obtain the current saturation level of each market area, and then the average saturation level is calculated. When the average saturation level is higher than the current saturation level, an emergency warning is issued, the production volume is increased according to the market share, and the corresponding market area is recorded as a demand area; otherwise, a regulation warning is issued, and the production volume is reduced according to the market share; When an urgent warning is received, the medical equipment reserves and coordinates of each market area are retrieved, and the navigation system is used to generate the distance and transportation costs from each market area to the demand area. The supply balance ratio and profit value of medical equipment per unit time are calculated. If the supply balance ratio is between 95% and 110% and the profit value is greater than 90% of the standard profit, no response is made; otherwise, the total amount of medical equipment that can be transported is calculated, and the medical equipment is delivered to the demand area based on the total amount of medical equipment that can be transported.

[0062] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0063] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A medical device demand management system based on big data, characterized in that: The management system includes: The demand trend module uses the historical usage of each medical device in the market area in the past three years and the population change data to calculate the usage ratio of each medical device in different age groups and the usage proportion of each medical device. Based on this, the market demand trend index and market demand of each medical device are analyzed. The demand estimation module retrieves the number of patients with various diseases in the market area recently and the usage of the corresponding medical devices per unit time, estimates the demand change coefficient of medical devices in the market area under the disease spreading state, and then calibrates the market demand in the market area based on the obtained demand change coefficient to obtain the total demand for medical devices; The market analysis module uses the big data analysis model to obtain product information and competitors of the current medical device, and evaluates the market share and current production scale of each competitor's product. It then compares the current market medical device production scale with the total demand for medical devices obtained, and analyzes the saturation of medical devices in the current market area based on the degree of deviation between the two. Similarly, the saturation analysis method is used to obtain the current saturation level of each market area, and then the average saturation level is calculated, and the production volume is adjusted according to the average saturation level; The supply module retrieves the medical equipment reserves and coordinates of each market area, uses the navigation system to generate the distance and transportation costs from each market area to the demand area, calculates the supply balance ratio and profit value of medical equipment per unit time, and then adjusts the medical equipment delivery strategy based on the profit value.

2. According to the big data-based medical device demand management system of claim 1, it is characterized by: The analysis process of the usage share and usage ratio of medical devices is as follows: According to the set age span value D, the patients are divided into different age groups according to the set D; Obtain the medical information of patients in each age group. The medical information includes the type of medical device used, the average number of the same medical device used per person, and the number of patients in the current age group, which are recorded as , , , where the average number of medical devices used per person is <0.6, the medical device type is recorded as a discardable medical device type and removed from the types of medical devices used. The removed medical device type is recorded as ; By analyzing the formula Get the usage ratio of the jth medical device , where represents the average number of medical devices used by each person in the current age group. represents the number of patients who need the jth type of medical device in the current age group, represents the total demand for the jth medical device in the ith age group, M represents the number of age groups divided, represents the total demand for medical devices used in the i-th age group; By analyzing the formula Get the usage ratio of the jth medical device in the current age group , where , then it will be The corresponding medical devices are recorded as high-demand medical devices for the current age group; otherwise, no response is made.

3. According to the big data-based medical device demand management system of claim 2, it is characterized by: The market demand trend index is based on the following formula: ； In the formula, It represents the sum of usage ratio and usage proportion. represents the market demand trend index of the kth medical device, where: Indicates the correction factor of the preset market demand trend index, represents the usage proportion of the kth medical device, represents the usage ratio of the kth medical device, e represents a preset constant, a and Ka both represent preset constants, a>1, 5>ka≥3, Respectively represent the sum of the preset usage ratio and usage proportion and the weight of the change ratio, and , Z represents the total number of age groups with the kth medical device as a high-demand medical device, represents the growth rate of the i-th age group, represents the change in the number of patients in the i-th age group, represents the total number of patients who need the kth type of medical device, represents the average number of medical devices used per person of the kth type, where When <0.5%, Recorded as 1; The market demand trend index of the kth medical device Based on the total amount of medical devices on the market and the total amount of the kth medical device purchased in the market area last time , and obtain the market demand for the kth medical device per unit time .

4. According to claim 3, a medical device demand management system based on big data is characterized in that: Using the market demand trend index analysis method, the market demand trend index of the kth medical device in the past three years is obtained, which are recorded as , , ,when > ×120% and > ×120%, the market demand for the k-th medical device is recorded as a continuous increase year by year, and the k-th medical device is recorded as a rising demand medical device, and the upper limit of the market demand is analyzed; when ×90%≤ ≤ ×120% and ×90%≤ ≤ ×120%, the market demand for the kth medical device is recorded as being stable year after year; when < ×90% and < ×90%, the market demand for the kth medical device will be recorded as a declining state year by year.

5. The medical device demand management system based on big data according to claim 4 is characterized by: The specific process of analyzing the upper limit of market demand is as follows: Retrieve the historical market area data where the demand for the k-th medical device is in a stable state for consecutive years. The historical market area data includes the total number of people in the historical market area, the purchase volume of the k-th medical device, and the purchase time interval, which are recorded as , , ; By analyzing the formula Get the upper limit of market demand for the kth medical device , where R represents the number of historical market regions where the demand for the k-th medical device is stable year after year, represents the purchase volume of the kth medical device in the ith historical market area, represents the time interval between the purchase of the kth medical device in the i-th historical market area, represents the total number of people in the i-th historical market area, Indicates the total number of people in the current market area.

6. The medical device demand management system based on big data according to claim 5 is characterized by: The specific process of medical device production strategy is as follows: When the market demand limit ≥ Market demand ×2, a production optimization instruction is issued to call the medical device production line that has been in a state of continuous decline to produce the kth medical device; When market demand ×2>Market demand ceiling ≥ Market demand ×1.2, no response; When market demand ×1.2>Market demand ceiling When the production backup instruction is received, the production line of the kth medical device (10-20)% is recorded as the callable production line. If the production optimization instruction is not received, the callable production line can continue to execute the production of the kth medical device; otherwise, the callable production line can execute the production of the medical device corresponding to the production optimization instruction.

7. The medical device demand management system based on big data according to claim 5 is characterized by: The process of estimating the coefficient of change in demand for medical devices in a market region under the state of disease spread is as follows: Randomly select a medical institution in the market area, obtain the medical conditions for which the medical institution uses the kth medical device, and divide them into a communicable disease set and a non-communicable disease set according to whether they are communicable; By analyzing the formula Get the demand change coefficient of the kth medical device under the disease diffusion state , where X represents the number of types of non-communicable diseases in the non-communicable disease set, represents the total number of patients who visited medical institutions for non-communicable diseases. It indicates the total number of people within 2km of a medical institution. represents the average number of k-th medical devices required per person for the i-th disease, represents the number of patients using the kth medical device in the communicable disease set, represents the average incubation period of communicable diseases in the communicable disease set, Indicates the duration of the communicable disease in the communicable disease collection.

8. The medical device demand management system based on big data according to claim 7 is characterized by: Using the demand change coefficient of the kth medical device under the disease diffusion state Correct the market demand, when the demand change coefficient ≥ the preset deviation threshold, As the total demand for medical devices after proofreading; On the contrary, As the total demand for medical devices after proofreading.

9. A medical device demand management system based on big data according to claim 8, characterized in that: The analysis process of the degree of saturation of medical devices in the current market area is as follows: Input the information of the medical device to be queried, and obtain the product information of the existing medical devices in the market area, wherein the product information includes the function, the storage quantity in the market area, and the selling price. When the functional overlap between the existing medical devices in the market area and the input medical devices is greater than 75%, the existing medical devices are recorded as competing products, and the suppliers selling competing products are recorded as competitors; otherwise, no response is made; Obtain the total amount of competing products sold by each competitor per unit time and the current production scale, and use the average sales volume of each competitor in the market area in the previous quarter to calculate the market share of each competitor , where W represents the number of competitors, represents the average sales volume of the ith competitor in the previous quarter. ≤ When , the competitor is recorded as a first-level competitor; when > > When , the competitor is recorded as a secondary competitor; when ≥ , then the competitor is recorded as a third-level competitor; Similarly, using the total production scale of each competitor Compared with the total demand for medical devices, when the total production scale When the total demand for medical devices is exceeded, the current market area is in an oversaturated state; otherwise, it is in an unsaturated state, and the current saturation degree is calculated, where: represents the daily production of the ith competitor.

10. The medical device demand management system based on big data according to claim 9, characterized in that: The saturation level is calculated based on the following formula: ； In the formula, Indicates the saturation level of the current market area, Respectively represent the number of first-level competitors, the number of second-level competitors, and the number of third-level competitors. represents the average sales volume of the xth competitor among the first-level competitors in the previous quarter, represents the average sales volume of the yth competitor among the second-level competitors in the previous quarter, represents the average sales volume of the zth competitor in the three-level competitors in the previous quarter, Respectively represent the weights of the preset first-level competitors, second-level competitors, and third-level competitors. When the value is greater than 2, an additional order will be issued to increase production; Otherwise, no response will be given.

11. The medical device demand management system based on big data according to claim 10, characterized in that: Calculate the saturation level of each market area using the saturation analysis method and calculate the average saturation level , where B represents the number of market areas, represents the saturation level of the i-th market area. When the average saturation level > Saturation If the market share is higher than the target, an emergency warning will be issued and the production volume will be increased according to the market share; otherwise, a regulatory warning will be issued and the production volume will be reduced according to the market share; the details are as follows: When receiving an urgent warning, As the production volume is increased, the available production line is activated, where: represents the average sales volume of the current supplier in the previous quarter, Indicates that the current supplier has production capacity; when receiving the regulation warning, As the production volume after the reduction, the production lines that are free after the reduction are recorded as available production lines.

12. The medical device demand management system based on big data according to claim 1, characterized in that: The calculation formula for calculating the supply balance ratio and profit value of medical devices per unit time is as follows: ； In the formula, It represents the supply balance ratio of medical devices within a unit time, G represents the total number of market areas within 50km around the current market area, S represents the number of abandoned market areas, represents the number of k-th medical devices stored in the i-th market area, represents the delivery ratio of the kth medical device per unit time, represents the profit value of medical device supply, represents the selling price of the kth medical device, represents the production cost of the kth medical device, represents the distance from the i-th market area to the current market area, Represents the cost per unit transport length, where ≥( ) × 12%, the corresponding market area will be recorded as a discardable area and the quantity will be recorded as S; otherwise, no response will be made.

13. A method for medical device demand management based on big data, using any system described in claims 1 to 12, characterized in that: The steps include: Using the historical usage of each medical device in the market area in the past three years and the population change data, calculate the usage ratio of each medical device in different age groups and the usage proportion of each medical device, and then analyze the market demand trend index and market demand of each medical device based on this; Retrieve the number of patients with various diseases in the market area recently and the usage of the corresponding medical devices per unit time, estimate the demand change coefficient of medical devices in the market area under the disease spreading state, and then calibrate the market demand in the market area according to the obtained demand change coefficient to obtain the total demand for medical devices; Obtain product information and competitors of current medical devices based on big data analysis models, and evaluate the market share and current production scale of each competitor's products. Then compare the current market medical device production scale with the total demand for medical devices obtained, and analyze the saturation of medical devices in the current market area based on the degree of deviation between the two. The medical equipment reserves and coordinates of each market area are retrieved, and the navigation system is used to generate the distance and transportation costs from each market area to the demand area. The supply balance ratio and profit value of medical equipment per unit time are calculated. If the supply balance ratio is between 95% and 110% and the profit value is greater than 90% of the standard profit, no response is made; otherwise, the total amount of medical equipment that can be transported is calculated, and the medical equipment is delivered to the demand area based on the total amount of medical equipment that can be transported.

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