Blood collection and supply informatization management system

Abstract

The invention relates to the technical field of information management, in particular to a blood collection and supply informatization management system which comprises a blood collection data analysis module, a blood use and allocation module, a blood demand trend analysis module and an inventory assessment and scheduling module. By recording and analyzing the blood collection information, counting the blood collection amount and calculating the daily average collection amount, the blood center can accurately grasp the dynamic change of the blood resources, then the future supply and demand relation is predicted, the blood resources can be more reasonably configured, and by analyzing the blood use request, the blood resource utilization rate is improved. According to the invention, accurate blood blending is realized, effective utilization of blood is ensured, waste is reduced, inventory evaluation and scheduling optimization are carried out according to daily average data of usage amount and future prediction, turnover rate of blood products is increased, excess or shortage is avoided, smooth proceeding of medical activities is ensured, response speed of the system is enhanced, and the system is suitable for popularization and application. And the overall medical service quality and the patient safety are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of information management, and in particular to an information management system for blood collection and supply. Background Art

[0002] The field of information management technology involves the collection, storage, protection, processing and delivery of data to support the operation and decision-making of an organization. In the medical industry, it includes the management of patient information, medical records, drug information and data processing of various medical services. Information management systems improve data access efficiency and accuracy, reduce human errors and optimize resource allocation by realizing data integration and automated processing. The core of this technology field is to improve the availability and security of information, support fast and accurate decision-making, and ensure the consistency and compliance of data throughout the organization.

[0003] Among them, the blood collection and supply information management system is an information system specifically used to manage blood resources. Its main functions include tracking and management of blood collection, storage, distribution, and use. The system aims to ensure the safety, efficiency, and compliance of blood supply, reduce human errors through automated processes, and improve the traceability of blood products. Using this system, blood centers can effectively manage inventory, optimize the matching of blood supply and demand, and enhance transparency to ensure that patients receive safe and appropriate blood products. In addition, the system also supports data analysis functions, which helps to predict blood demand and optimize resource allocation, thereby improving the efficiency and responsiveness of the entire blood management process.

[0004] Although traditional management systems have basic data recording and processing functions in dealing with blood resources, they are limited in data integration and real-time response. For example, traditional blood management systems lack the ability to predict future demand and are difficult to respond to emergencies, such as large-scale casualties or surges in blood demand during epidemics. These deficiencies will lead to unstable blood supply in actual operations, affect emergency efficiency, and may even endanger patients' lives. It is difficult to respond quickly to emergencies, causing medical institutions to face the risk of unstable blood supply, affecting the efficiency and quality of emergency treatment. For example, without sufficient predictions and timely updates, there will be a situation where the urgently needed blood type does not match the inventory, which will delay the patient's treatment time, increase medical risks and patient anxiety. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an information management system for blood collection and supply.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a blood collection and supply information management system, the system comprising:

[0007] The blood collection data analysis module records the blood collection volume, collection time, blood type and storage time of each time based on the blood collection information, counts the collection volume of each type of blood, analyzes the daily average collection volume of each type of blood, and analyzes the change trend of each type of blood collection volume in combination with blood donation activities in the future period to obtain blood collection volume information;

[0008] The blood usage allocation module analyzes the blood usage request based on the blood collection volume information, extracts the blood data of the matching type, and allocates the matching blood packs for blood supply according to the remaining validity period and size of the blood packs, and counts the usage of each type of blood, evaluates the daily average usage of each type of blood, and obtains the blood supply volume data;

[0009] The blood demand trend analysis module analyzes the change trend of each type of blood usage in the future period based on the blood supply data, according to the daily average usage, sports activities and epidemiological conditions in the future period of the hospital area, and obtains the blood supply trend analysis results;

[0010] The inventory assessment and scheduling module analyzes the daily increase and decrease of each type of blood based on the blood collection volume information, blood supply volume data and blood supply volume trend analysis results, and evaluates the available volume of each type of blood in combination with the inventory volume of each type of blood to obtain blood inventory analysis information.

[0011] The present invention is improved in that the step of analyzing the average daily collection volume of each type of blood is:

[0012] Based on the blood collection information, blood collection record data is collected and sorted, and the blood collection volume, collection time, blood type and storage time of each time are extracted to obtain a blood collection data record set;

[0013] Based on the blood collection data record set, screening the collection records of each type of blood, calculating the total collection volume of each type of blood, and obtaining total collection volume data;

[0014] Based on the total collection data, the formula:

[0015]

[0016] Calculate the daily average collection volume of each type of blood and obtain the daily average collection volume analysis results;

[0017] Among them, C is the average daily collection volume, n C is the number of collection days, V total Represents the total collection volume.

[0018] The present invention is improved in that the step of obtaining the blood collection volume information is:

[0019] Based on blood donation activities in the future period, extract similar blood donation activity records, analyze the correlation between blood donation activity data and blood collection volume, evaluate the impact of blood donation activities on blood collection volume, and obtain activity impact analysis results;

[0020] Based on the analysis result of the daily average blood collection volume, analyzing the change of the daily average blood collection volume over a period of time, evaluating the change rate of the blood collection volume, and obtaining the collection volume rate information;

[0021] Based on the collection rate information and activity impact analysis results, the formula is:

[0022] T=R T ×(1+α T ×P T );

[0023] Calculate the collection volume trend index to obtain blood collection volume information;

[0024] Among them, T is the collection volume trend index, α T is the adjustment factor, P T is the activity intensity parameter, R T Represents the rate of change of blood collection volume.

[0025] The present invention is improved in that the steps of allocating the matching blood bag to implement blood supply are:

[0026] Based on the blood collection volume information, analyzing the total collection volume and available inventory of each type of blood, extracting blood type data matching the use request, and obtaining a matching type blood data set;

[0027] Based on the matching type blood data set, according to the blood use request, the blood packs meeting the requirements are screened, and the remaining validity period and size of the blood packs are extracted to obtain a matching blood pack list;

[0028] Based on the matching blood pack list, by the formula:

[0029]

[0030] Calculate the usage priority index of each blood bag, and allocate matching blood bags to implement blood supply according to the usage priority index to obtain a blood supply allocation result;

[0031] Among them, P is the priority index of blood pack usage, D v Indicates the remaining validity period of the blood pack, S v represents the blood bag size, and λ is the weight coefficient.

[0032] The present invention is improved in that the step of obtaining the blood supply volume data is:

[0033] Based on the blood supply allocation result, the usage records of each type of blood are summarized, including the date and amount of each use, to obtain the usage statistics of each type of blood;

[0034] Based on the usage statistics of each type of blood, the formula is:

[0035]

[0036] Calculate the average daily usage of each type of blood to obtain blood supply data;

[0037] Among them, A is the average daily usage, S t Indicates the total usage, N d Indicates the statistical days.

[0038] The present invention is improved in that the steps of obtaining the blood supply volume trend analysis result are:

[0039] Based on the blood supply data, data is collated, including the average daily usage of each type of blood, and data on sports activities and epidemiological conditions in the area where the hospital is located are extracted to obtain an impact analysis data set;

[0040] Based on the impact analysis data set, the usage change of each blood type in the future period is analyzed by statistical methods, and the daily average usage change rate is analyzed in combination with the potential impact of seasonal changes and regional events on blood use to obtain usage change rate information;

[0041] Based on the usage change rate information, the formula:

[0042] Y=R Y ×(1+α Y ×E Y +β Y ×P Y );

[0043] Calculate the usage trend index to obtain the blood supply trend analysis result;

[0044] Among them, Y is the usage trend index, α Y is the adjustment factor, E Y is a quantitative indicator of activity intensity, β Y is the epidemic impact coefficient, P Y is a quantitative indicator of the impact of the epidemic, R Y is the rate of change of usage.

[0045] The present invention is improved in that the step of analyzing the daily increase and decrease of each blood type is:

[0046] Based on the blood collection volume information, blood supply volume data and blood supply volume trend analysis results, extract the daily average collection volume, daily average usage volume, collection volume change trend index and usage volume change trend index of each blood type to obtain a usage data set for each blood type;

[0047] Based on the usage data set for each blood type, by the formula:

[0048] B=(C·(1+T+α B ))-(A·(1+Y+β B ));

[0049] Calculate the daily increase and decrease of each blood type to obtain the increase and decrease assessment results;

[0050] Among them, B is the daily increase or decrease, C is the daily average collection volume, T is the collection volume trend index, A is the daily average usage, Y is the usage trend index, α B and β B is the adjustment factor.

[0051] The present invention is improved in that the steps of obtaining the blood inventory analysis information are:

[0052] Based on the increase / decrease evaluation result, by analyzing the blood usage record and supply interruption situation, setting the preset optimal inventory quantity of each blood type, and obtaining inventory related data;

[0053] Based on the inventory association data, by formula:

[0054] V=S V +(B×D V )-M V ;

[0055] Calculate the available amount of each type of blood, and determine whether each type of blood can be allocated and called according to the positive or negative value of the available amount, so as to obtain blood inventory analysis information;

[0056] Among them, S V is the current inventory, M V is the preset optimal inventory quantity, B is the daily increase or decrease, D V is the expected number of days of use and V is the available volume of blood.

[0057] Compared with the prior art, the advantages and positive effects of the present invention are:

[0058] In the present invention, by recording and analyzing blood collection information, statistics of blood collection volume and calculation of daily average collection volume, the blood center can accurately grasp the dynamic changes of blood resources, and then predict future supply and demand relationships, so that blood resources can be more reasonably allocated. By analyzing blood use requests, accurate blood allocation is achieved, ensuring the effective use of blood and reducing waste. According to the daily average usage data and future forecasts, inventory evaluation and scheduling optimization are carried out, which improves the turnover rate of blood products, avoids surplus or shortage, ensures the smooth progress of medical activities, enhances the response speed of the system, and improves the overall quality of medical services and patient safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 is a system flow chart of the present invention;

[0060] Figure 2 A flow chart for analyzing the average daily collection volume of each type of blood for the present invention;

[0061] Figure 3 A flow chart of obtaining blood collection volume information for the present invention;

[0062] Figure 4 A flow chart for allocating matching blood bags to implement blood supply for the present invention;

[0063] Figure 5 A flow chart for obtaining blood supply data of the present invention;

[0064] Figure 6 A flow chart of obtaining blood supply volume trend analysis results for the present invention;

[0065] Figure 7 A flow chart for analyzing the daily increase and decrease of each blood type for the present invention;

[0066] Figure 8 Flow chart of obtaining blood inventory analysis information for the present invention. DETAILED DESCRIPTION

[0067] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0068] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating positions or positional relationships, are based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0069] See also Figure 1 The present invention provides a technical solution: a blood collection and supply information management system, the system comprising:

[0070] The blood collection data analysis module records the blood collection volume, collection time, blood type and storage time of each time based on the blood collection information, counts the collection volume of each type of blood, analyzes the daily average collection volume of each type of blood, and analyzes the change trend of each type of blood collection volume in combination with blood donation activities in the future period to obtain blood collection volume information;

[0071] The blood usage allocation module analyzes the blood usage request based on the blood collection volume information, extracts the blood data of the matching type, and allocates the matching blood packs for blood supply according to the remaining validity period and size of the blood packs. It also counts the usage of each type of blood, evaluates the daily average usage of each type of blood, and obtains the blood supply volume data;

[0072] The blood demand trend analysis module is based on the blood supply data, according to the daily average usage, sports activities and epidemiological conditions in the future period of the hospital area, and analyzes the changing trend of each type of blood usage in the future period to obtain the blood supply trend analysis results;

[0073] The inventory assessment and scheduling module is based on blood collection volume information, blood supply volume data and blood supply volume trend analysis results. It analyzes the daily increase and decrease of each type of blood according to the daily average collection volume, collection volume change trend, daily average usage and usage change trend of each type of blood. Combined with the inventory volume of each type of blood, it evaluates the available volume of each type of blood and obtains blood inventory analysis information.

[0074] The blood collection volume information includes the daily average collection volume of each blood type, the collection volume change trend during the period and the forecast data of blood donation activities that affect the collection volume. The blood supply volume data includes the number of blood packs allocated according to demand for each blood type, the expiration date information of blood packs and the daily average usage of each blood type. The blood supply volume trend analysis results include the predicted changes in the usage of each blood type in the future period, the impact of regional activities on blood demand and the correlation between usage trends and seasonal changes. The blood inventory analysis information includes the available inventory of each blood type, demand forecast, daily increase and decrease information of inventory and demand, and inventory allocation information.

[0075] See also Figure 2 , the steps to analyze the average daily collection volume of each type of blood are:

[0076] Based on the blood collection information, blood collection record data is collected and sorted, and the blood collection volume, collection time, blood type and storage time of each time are extracted to obtain a blood collection data record set;

[0077] Blood collection records were collected and organized, including the amount of blood collected each time, the time of collection, the blood type and the storage time. Each record recorded in detail the specific information of the amount of blood collected, the time of collection, the blood type and the storage time. The data set consisted of a data input and verification process to ensure the accuracy and completeness of the data. The required information was extracted from the blood collection records through database query and data processing technology. Each blood type record was accurately classified and labeled to facilitate subsequent data analysis and processing. The record set served as the basic data source for analysis and statistics.

[0078] Based on the blood collection data record set, the collection records of each type of blood are screened, the total collection volume of each type of blood is calculated, and the total collection volume data is obtained;

[0079] All records of each blood type are screened out from the sorted blood collection record data. Through database query and data processing technology, the data of the corresponding blood type is extracted from the record set, and the total collection volume of the specific blood type is calculated. The total collection volume is calculated through the summation function to ensure the accuracy and completeness of the data. The total collection volume data is used to calculate the daily average collection volume, which provides the necessary input parameters for the subsequent steps.

[0080] Based on the total collection data, the formula:

[0081]

[0082] Calculate the daily average collection volume of each type of blood and obtain the daily average collection volume analysis results;

[0083] Among them, C is the average daily collection volume, n C is the number of collection days, V totalRepresents the total collection volume.

[0084] formula:

[0085]

[0086] The benefit of the formula is that it can quickly derive the average value from the accumulated data through a simple division operation, which provides real-time data support for daily medical management and blood inventory scheduling, making the allocation of blood resources more efficient and scientific;

[0087] Detailed explanation of the formula and the process of formula calculation and derivation:

[0088] Assuming that the total amount of blood collected in a specific blood type in a specific collection period is 500 units and the number of collection days is 25 days, the calculation process of the average daily collection volume is as follows:

[0089]

[0090] The results show that the average daily collection volume of this blood type during this collection cycle is 20 units, which helps predict future collection needs and inventory maintenance strategies to ensure a balance between blood supply and demand;

[0091] See also Figure 3 , the steps for obtaining blood collection volume information are:

[0092] Based on blood donation activities in the future period, extract similar blood donation activity records, analyze the correlation between blood donation activity data and blood collection volume, evaluate the impact of blood donation activities on blood collection volume, and obtain activity impact analysis results;

[0093] Through detailed analysis of historical blood donation data, collection records of specific types of blood are collected. The data are obtained through the databases of hospitals and blood donation centers, including collection time, blood type, collection volume and specific dates of collection activities. The data are screened and preprocessed for analysis. For example, data cleaning technology is used to remove incomplete or erroneous records. Statistical analysis methods, such as mean calculation and standard deviation evaluation, are used to analyze the fluctuations in the collection volume of each type of blood in different time periods. The calculations help identify significant changing trends in historical collection data as a basis for predicting the impact of future blood donation activities.

[0094] Based on the analysis results of the daily average blood collection volume, the changes in the daily average blood collection volume over a period of time are analyzed, the rate of change of the blood collection volume is evaluated, and the collection volume rate information is obtained;

[0095] Data was extracted from the results of historical impact analysis, focusing on the daily change rate of blood collection volume. The data was obtained through data analysis techniques, such as time series analysis and regression models. The linear regression model was used to fit the trend line of past daily collection data. Date and collection volume data points were introduced in the calculation process. This method can effectively estimate the increase and decrease trend of blood collection volume in the short term. The trend analysis results are crucial for understanding the periodicity and randomness of blood donation activities, and provide a scientific basis for formulating future blood collection strategies.

[0096] Based on the collection rate information and activity impact analysis results, the formula is:

[0097] T=R T ×(1+α T ×P T );

[0098] Calculate the collection volume trend index to obtain blood collection volume information;

[0099] Among them, T is the collection volume trend index, α T is the adjustment factor, P T is the activity intensity parameter, R T Represents the rate of change of blood collection volume.

[0100] formula:

[0101] T=R T ×(1+α T ×P T );

[0102] Detailed explanation of the formula and the process of formula calculation: Setting R T is the blood collection increase and decrease rate obtained from historical data analysis. Its value is 0.03, that is, the daily change rate is 3%. T As the adjustment coefficient, based on the correlation analysis between historical data and future activity forecasts, its value is set to 0.2, indicating that for every unit increase in future activity intensity, the collection volume trend index increases by 20%, P T The predicted increase in the intensity of blood donation activities in the next month is 0.5, which means that the intensity of the activities is expected to increase by 50%. The calculation process is as follows:

[0103] T=0.03×(1+0.2×0.5)=0.03×1.1=0.033;

[0104] The results show that taking into account the impact of increased intensity of blood donation activities in the future, the average daily collection volume growth rate is expected to increase from 3% to 3.3%. The indicator is crucial for predicting future blood inventory and adjusting collection plans.

[0105] See also Figure 4The steps for allocating matching blood bags to implement blood supply are:

[0106] Based on the blood collection volume information, the total collection volume and available inventory of each type of blood are analyzed, and the blood type data matching the use request is extracted to obtain a matching type blood data set;

[0107] Based on the blood collection volume information, relevant blood collection volume information is retrieved from the blood information management information, including the total collection volume and available inventory of each blood type. This data is synchronized in real time through the database interface of the blood center and the hospital, ensuring the accuracy and timeliness of the information. The blood type that meets the specific usage request is automatically identified and extracted. For example, if an operation requires AB type blood, the system will immediately list all available AB type blood stocks, including the capacity and expiration date of each unit. The process uses data matching and screening algorithms to ensure that the selected blood unit is most suitable for the upcoming medical procedure.

[0108] Based on the matching type blood data set, according to the blood use request, the blood packs that meet the requirements are screened, and the remaining validity period and size of the blood packs are extracted to obtain a matching blood pack list;

[0109] Based on the matching type blood data set, the screened blood pack data is analyzed, considering the remaining validity period and volume of each blood pack, calculating the remaining usage time of each blood pack and checking whether its physical condition is suitable for long-term storage or rapid use. The distribution order of blood packs is automatically optimized. For example, blood packs that are about to expire or are small in volume and easy to use up in a short period of time will be given priority to patients who urgently need surgery or treatment. The optimization process improves the efficiency of resource utilization and ensures the quality and safety of blood products.

[0110] Based on the matching blood pack list, by formula:

[0111]

[0112] Calculate the usage priority index of each blood bag, and allocate matching blood bags to implement blood supply according to the usage priority index to obtain a blood supply allocation result;

[0113] Among them, P is the priority index of blood pack usage, D v Indicates the remaining validity period of the blood pack, S v represents the blood bag size, and λ is the weight coefficient.

[0114] formula:

[0115]

[0116] Detailed explanation of the formula and the process of formula calculation and derivation:

[0117] Setting D vRepresents the remaining validity period of the blood pack (in days). The remaining validity period of a specific blood pack is 10 days. v Represents the volume of the blood bag (liters), the blood bag volume is 1 liter, λ is the weight coefficient of the blood bag size on the priority. By analyzing past data, λ=0.5 is set, which means that for every liter increase in volume, its impact on the priority is half of the impact of the remaining validity period. The calculation process is as follows:

[0118]

[0119] The results show that under a given validity period and volume, the blood pack's usage priority index is 0.095. This value is used to guide the specific distribution operations of blood packs, ensuring that blood resources that are most needed and used quickly are used first to avoid waste and ensure the timeliness of blood supply.

[0120] See also Figure 5 , the steps for obtaining blood supply data are:

[0121] Based on the blood supply allocation results, the usage records of each type of blood are summarized, including the date and amount of each use, to obtain the usage statistics of each type of blood;

[0122] Based on the blood supply allocation results, detailed records of the use of each blood type in the hospital are extracted, and data is collected from various blood-using departments, including blood usage in operating rooms, emergency departments and other key departments. The statistical data includes the date, time, type and quantity of blood used. The data is verified and cleaned to ensure its accuracy and completeness, and then classified and summarized through automated tools to generate statistical information on the usage of each type of blood, providing basic data for subsequent analysis and ensuring timely updating and efficient management of data.

[0123] Based on the usage statistics of each type of blood, the formula is:

[0124]

[0125] Calculate the average daily usage of each type of blood to obtain blood supply data;

[0126] Among them, A is the average daily usage, S t Indicates the total usage, N d Indicates the statistical days.

[0127] formula:

[0128]

[0129] Detailed explanation of the formula and the process of formula calculation: Set S tis the total usage of a specific blood type during the observation period. Assume that the usage of AB type blood in the past 30 days is 600 units. d Indicates the number of statistical days, which is 30 days. The calculation process is as follows:

[0130]

[0131] The results show that the average daily usage of AB type blood is 20 units. The data helps hospitals better manage blood resources. Through the data on average daily usage, hospitals can predict future blood needs, optimize blood inventory and allocation strategies, and ensure that blood needs in daily and emergency situations can be met.

[0132] See also Figure 6 , the steps for obtaining the blood supply volume trend analysis results are:

[0133] Based on the blood supply data, data were collated, including the average daily usage of each type of blood, and data on sports activities and epidemiological conditions in the area where the hospital is located were extracted to obtain an impact analysis data set;

[0134] Based on the blood supply data, various blood usage data recorded in the hospital system are integrated, and the epidemic occurrence records and sports activity arrangements in the relevant areas are collected. These data are used to predict the factors that affect future blood demand. Through data cleaning and preprocessing, the accuracy and availability of the data used are ensured. The analysis process includes identifying outliers in the data and filling in missing values ​​to ensure the accuracy of the analysis, and obtaining the impact analysis data set, which provides basic input data for the blood demand prediction model.

[0135] Based on the impact analysis data set, the usage changes of each blood type in the future period are analyzed by statistical methods. Combined with the potential impact of seasonal changes and regional events on blood usage, the daily average usage change rate is analyzed to obtain usage change rate information;

[0136] Based on the impact analysis data set, time series analysis methods are used to combine historical blood usage data to perform trend analysis to predict future demand, including the identification of seasonal factors and other cyclical changes. The moving average of each blood type is calculated to smooth short-term fluctuations. The exponential smoothing technique is used to weight recent data to improve the responsiveness of the forecast. Through these steps, the possible future daily average usage change rate R is estimated. Y For example, if the use of type A blood has increased by 10% month-on-month over the past three months, then calculate R Y The expected growth rate for the following months is calculated not only based on past actual data, but also taking into account events such as holidays or flu season that may cause a surge in demand. The analysis helps hospitals make more accurate inventory planning and preparation strategies to adapt to future changes in demand.

[0137] Based on the usage change rate information, the formula is:

[0138] Y=R Y ×(1+α Y ×E Y +β Y ×P Y );

[0139] Calculate the usage trend index to obtain the blood supply trend analysis result;

[0140] Among them, Y is the usage trend index, α Y is the adjustment factor, E Y is a quantitative indicator of activity intensity, β Y is the epidemic impact coefficient, P Y is a quantitative indicator of the impact of the epidemic, R Y is the rate of change of usage.

[0141] formula:

[0142] Y=R Y ×(1+α Y ×E Y +β Y ×P Y );

[0143] The formula is beneficial in that it introduces quantitative parameters of sports activity intensity and epidemic impact, making the prediction of blood usage more accurate and reflecting the impact of upcoming events in real time. Y and β Y Separately adjusting the effects of activity and disease on blood demand improves the adaptability and sensitivity of the prediction model, ensuring that hospitals can respond quickly when faced with public health emergencies.

[0144] Formula explanation and formula calculation process: Assume that in the past 30 days, the usage change rate R Y 0.5%, it is expected that there will be a large-scale sports event in the future, and the activity intensity assessment value is E Y is 0.1, and a moderate epidemic outbreak is predicted. The epidemic impact assessment value P Y is 0.05, adjustment coefficient α Y is 0.3, β Y is 0.2, substitute it into the formula to calculate:

[0145] Y=0.5×(1+0.3×0.1+0.2×0.05)

[0146] =0.5×(1+0.03+0.01)

[0147] =0.5×1.04=0.52%;

[0148] The results show that considering the upcoming sports activities and epidemic outbreaks, the growth rate of blood usage is expected to increase from 0.5% to 0.52%, which can help hospitals make more accurate predictions and adjustments in resource allocation.

[0149] See also Figure 7 , the steps to analyze the daily increase and decrease of each blood type are:

[0150] Based on the blood collection volume information, blood supply volume data and blood supply volume trend analysis results, the daily average collection volume, daily average usage volume, collection volume change trend index and usage volume change trend index of each blood type are extracted to obtain a usage data set for each blood type;

[0151] Based on the blood collection volume information, blood supply volume data and blood supply volume trend analysis results, the daily average collection volume and daily average usage of each blood type, as well as the collection volume change trend index and usage volume change trend index are collected and organized. The data comes from the existing blood collection and usage records. Through data cleaning and standardization processing, it is ensured that the data quality meets the analysis requirements, and the usage data set of each blood type is obtained to provide preparation for the analysis.

[0152] Based on the usage data set for each blood type, by the formula:

[0153] B=(C·(1+T+α B ))-(A·(1+Y+β B ));

[0154] Calculate the daily increase and decrease of each blood type to obtain the increase and decrease assessment results;

[0155] Among them, B is the daily increase or decrease, C is the daily average collection volume, T is the collection volume trend index, A is the daily average usage, Y is the usage trend index, α B and β B is the adjustment factor.

[0156] formula:

[0157] B=(C·(1+T+α B ))-(A·(1+Y+β B ));

[0158] The benefit of the formula is that it can comprehensively consider the changing trends of collection and usage, as well as the impact of external activities, to ensure the accuracy and adaptability of the forecast data.

[0159] Detailed explanation of the formula and the process of formula calculation and derivation:

[0160] C is the average daily collection volume, which can be set to 100 units. T is the collection volume trend index, and the growth rate is set to 5%, that is, T = 0.05. A is the average daily usage, which is set to 80 units. Y is the usage trend index, and the growth rate is set to 3%, that is, Y = 0.03. B and β B are coefficients adjusted due to special events (such as local holidays or epidemic outbreaks) and are set to 0.02 and 0.01, respectively.

[0161] Formula calculation derivation process:

[0162] Calculate the forecast value after adjusting the collection volume:

[0163] C·(1+T+α B ) = 100·(1+0.05+0.02) = 100·1.07 = 107 units;

[0164] Calculate usage-adjusted forecasts:

[0165] A·(1+Y+β B ) = 80·(1+0.03+0.01) = 80·1.04 = 83.2 units;

[0166] Calculate the daily increase or decrease B: B = 107-83.2 = 23.8 units;

[0167] The results show that considering the current trends and external influences, a certain amount of blood inventory accumulation is expected, which is a positive sign for future peak demand.

[0168] See also Figure 8 , the steps to obtain blood inventory analysis information are:

[0169] Based on the increase and decrease evaluation results, by analyzing the blood usage records and supply interruptions, the preset optimal inventory quantity of each blood type is set to obtain inventory-related data;

[0170] Based on the results of the increase and decrease assessment, inventory records from the past 12 months are collected, and data analysis techniques, such as time series analysis, are used to predict demand fluctuations and possible supply chain disruption risks for each blood type. Combined with the hospital's consumption rate and insurance storage standards, the optimal inventory level is set to minimize supply risks while meeting daily medical needs. The inventory standards will support hospitals in maintaining operational efficiency when responding to emergencies, while ensuring that patients receive necessary treatment and obtain inventory-related data.

[0171] Based on inventory association data, through the formula:

[0172] V=S V +(B×D V )-M V;

[0173] Calculate the available amount of each type of blood, and determine whether each type of blood can be allocated and called according to the positive or negative value of the available amount, so as to obtain blood inventory analysis information;

[0174] Among them, S V is the current inventory, M V is the preset optimal inventory quantity, B is the daily increase or decrease, D V is the expected number of days of use and V is the available volume of blood.

[0175] formula:

[0176] V=S V +(B×D V )-M V ;

[0177] The benefit of the formula is that, by integrating key blood inventory management parameters, it provides a method for quickly estimating future available inventory. The formula not only simplifies the inventory management process, but also enhances the ability to predict future inventory status, enabling hospitals to make more strategic resource allocations based on predictive data.

[0178] Detailed explanation of the formula and the process of formula calculation: V , daily increase or decrease B, number of days to consider D V , and the preset optimal inventory M V By substituting this into the formula, we can calculate the available inventory V at a certain point in the future. For example, if the current inventory is 100 units, the daily increase or decrease is 5 units, the number of days considered is 30, and the preset optimal inventory is 120 units, the calculation process is as follows:

[0179] V=100+(5×30)-120=100+150-120=130;

[0180] The results show that in the next 30 days, considering the daily increase and decrease and the preset optimal inventory, the available amount is 130 units. This value is very important for the hospital, which directly affects the hospital's emergency response capability and long-term blood supply plan.

[0181] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A blood collection and supply information management system, characterized in that: The system comprises: The blood collection data analysis module records the blood collection volume, collection time, blood type and storage time of each time based on the blood collection information, counts the collection volume of each type of blood, analyzes the daily average collection volume of each type of blood, and analyzes the change trend of each type of blood collection volume in combination with blood donation activities in the future period to obtain blood collection volume information; The blood usage allocation module analyzes the blood usage request based on the blood collection volume information, extracts the blood data of the matching type, and allocates the matching blood packs for blood supply according to the remaining validity period and size of the blood packs, and counts the usage of each type of blood, evaluates the daily average usage of each type of blood, and obtains the blood supply volume data; The blood demand trend analysis module analyzes the change trend of each type of blood usage in the future period based on the blood supply data, according to the daily average usage, sports activities and epidemiological conditions in the future period of the hospital area, and obtains the blood supply trend analysis results; The inventory assessment and scheduling module analyzes the daily increase and decrease of each type of blood based on the blood collection volume information, blood supply volume data and blood supply volume trend analysis results, and evaluates the available volume of each type of blood in combination with the inventory volume of each type of blood to obtain blood inventory analysis information.

2. The blood collection and supply information management system according to claim 1, characterized in that: The steps of analyzing the average daily collection volume of each type of blood are: Based on the blood collection information, blood collection record data is collected and sorted, and the blood collection volume, collection time, blood type and storage time of each time are extracted to obtain a blood collection data record set; Based on the blood collection data record set, screening the collection records of each type of blood, calculating the total collection volume of each type of blood, and obtaining total collection volume data; Based on the total collection data, the formula: Calculate the daily average collection volume of each type of blood and obtain the daily average collection volume analysis results; Among them, C is the average daily collection volume, n C is the number of collection days, V total Represents the total collection volume.

3. The blood collection and supply information management system according to claim 2, characterized in that: The steps for obtaining the blood collection volume information are: Based on blood donation activities in the future period, extract similar blood donation activity records, analyze the correlation between blood donation activity data and blood collection volume, evaluate the impact of blood donation activities on blood collection volume, and obtain activity impact analysis results; Based on the analysis result of the daily average blood collection volume, analyzing the change of the daily average blood collection volume over a period of time, evaluating the change rate of the blood collection volume, and obtaining the collection volume rate information; Based on the collection rate information and activity impact analysis results, the formula is: T=R T ×(1+a T ×P T ); Calculate the collection volume trend index to obtain blood collection volume information; Among them, T is the collection volume trend index, α T is the adjustment factor, P T is the activity intensity parameter, R T Represents the rate of change of blood collection volume.

4. The blood collection and supply information management system according to claim 1, characterized in that: The steps of allocating the matching blood bag to implement blood supply are: Based on the blood collection volume information, analyzing the total collection volume and available inventory of each type of blood, extracting blood type data matching the use request, and obtaining a matching type blood data set; Based on the matching type blood data set, according to the blood use request, the blood packs meeting the requirements are screened, and the remaining validity period and size of the blood packs are extracted to obtain a matching blood pack list; Based on the matching blood pack list, by the formula: Calculate the usage priority index of each blood bag, and allocate matching blood bags to implement blood supply according to the usage priority index to obtain a blood supply allocation result; Among them, P is the priority index of blood pack usage, D v Indicates the remaining validity period of the blood pack, S v represents the blood bag size, and λ is the weight coefficient.

5. The blood collection and supply information management system according to claim 4, characterized in that: The steps for obtaining the blood supply volume data are as follows: Based on the blood supply allocation result, the usage records of each type of blood are summarized, including the date and amount of each use, to obtain the usage statistics of each type of blood; Based on the usage statistics of each type of blood, the formula is: Calculate the average daily usage of each type of blood to obtain blood supply data; Among them, A is the average daily usage, S t Indicates the total usage, N d Indicates the statistical days.

6. The blood collection and supply information management system according to claim 1, characterized in that: The steps for obtaining the blood supply volume trend analysis result are: Based on the blood supply data, data is collated, including the average daily usage of each type of blood, and data on sports activities and epidemiological conditions in the area where the hospital is located are extracted to obtain an impact analysis data set; Based on the impact analysis data set, the usage change of each blood type in the future period is analyzed by statistical methods, and the daily average usage change rate is analyzed in combination with the potential impact of seasonal changes and regional events on blood use to obtain usage change rate information; Based on the usage change rate information, the formula: Y=R Y ×(1+a Y ×E Y +b Y ×P Y ); Calculate the usage trend index to obtain the blood supply trend analysis result; Among them, Y is the usage trend index, α Y is the adjustment factor, E Y is a quantitative indicator of activity intensity, β Y is the epidemic impact coefficient, P Y is a quantitative indicator of the impact of the epidemic, R Y is the rate of change of usage.

7. The blood collection and supply information management system according to claim 1, characterized in that: The steps of analyzing the daily increase and decrease of each blood type are: Based on the blood collection volume information, blood supply volume data and blood supply volume trend analysis results, extract the daily average collection volume, daily average usage volume, collection volume change trend index and usage volume change trend index of each blood type to obtain a usage data set for each blood type; Based on the usage data set for each blood type, by the formula: B=(C·(1+T+α B ))-(A·(1+Y+β B )); Calculate the daily increase and decrease of each blood type to obtain the increase and decrease assessment results; Among them, B is the daily increase or decrease, C is the daily average collection volume, T is the collection volume trend index, A is the daily average usage, Y is the usage trend index, α B and β B is the adjustment factor.

8. The blood collection and supply information management system according to claim 7, characterized in that: The steps for obtaining the blood inventory analysis information are: Based on the increase / decrease evaluation result, by analyzing the blood usage record and supply interruption situation, setting the preset optimal inventory quantity of each blood type, and obtaining inventory related data; Based on the inventory association data, by formula: V=S V +(B×D V )-M V ; Calculate the available amount of each type of blood, and determine whether each type of blood can be allocated and called according to the positive or negative value of the available amount, so as to obtain blood inventory analysis information; Among them, S V is the current inventory, M V is the preset optimal inventory quantity, B is the daily increase or decrease, and D V is the expected number of days of use and V is the available volume of blood.

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