Blood collection information management system

Abstract

This invention relates to the field of information management technology, specifically to a blood collection and supply information management system. The system includes a blood collection data analysis module, a blood usage and allocation module, a blood demand trend analysis module, and an inventory assessment and scheduling module. By recording and analyzing blood collection information, and calculating the statistical data on blood collection volume and the daily average collection volume, this invention enables blood centers to accurately grasp the dynamic changes in blood resources, thereby predicting future supply and demand relationships. This allows for more rational allocation of blood resources. Through the analysis of blood usage requests, precise blood allocation is achieved, ensuring effective blood utilization and reducing waste. Based on the daily average usage data and future forecasts, inventory assessment and scheduling optimization are performed, improving the turnover rate of blood products, avoiding surpluses or shortages, ensuring the smooth operation of medical activities, enhancing system response speed, and improving the overall quality of medical services and patient safety.

Description

Technical Field

[0001] This invention relates to the field of information management technology, and in particular to an information management system for blood collection and supply. Background Technology

[0002] Information management technology encompasses the collection, storage, protection, processing, and transmission of data to support organizational operations and decision-making. In the healthcare industry, this includes the management of patient information, medical records, drug information, and data processing for various healthcare services. Information management systems improve data access efficiency and accuracy, reduce human error, and optimize resource allocation by integrating and automating data processing. The core of this technology lies in enhancing information availability and security, supporting rapid and accurate decision-making, and ensuring data consistency and compliance throughout the organization.

[0003] The Blood Collection and Supply Information Management System is a dedicated information system for managing blood resources. Its main functions include tracking and managing the collection, storage, distribution, and use of blood. The system aims to ensure the safety, efficiency, and compliance of blood supply, reducing human error through automated processes and improving the traceability of blood products. Using this system, blood centers can effectively manage inventory, optimize the matching of supply and demand, and enhance transparency to ensure patients receive safe and appropriate blood products. Furthermore, the system supports data analysis capabilities, helping to predict blood demand and optimize resource allocation, thereby improving the efficiency and responsiveness of the entire blood management process.

[0004] Traditional blood resource management systems, while possessing basic data recording and processing capabilities, suffer from limitations in data integration and real-time response. For example, they lack the ability to predict future demand, making them ill-equipped to handle emergencies such as large-scale illness or mass casualty events or surges in blood demand during epidemics. These shortcomings can lead to unstable blood supplies in practice, impacting emergency response efficiency and potentially endangering patient lives. They also hinder rapid responses to emergencies, exposing medical institutions to the risk of blood supply instability and affecting the efficiency and quality of emergency treatment. For instance, without sufficient forecasting and timely updates, situations may arise where urgently needed blood types do not match available stock, delaying patient treatment, increasing medical risks, and causing patient anxiety. Summary of the Invention

[0005] The purpose of this invention is to address the shortcomings of existing technologies by proposing an information management system for blood collection and supply.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a blood collection and supply information management system, the system comprising:

[0007] The blood collection data analysis module records the amount of blood collected each time, the collection time, the blood type and the storage time based on the blood collection information. It also counts the amount of blood collected for each type, analyzes the average daily amount of blood collected for each type, and analyzes the changing trend of the amount of blood collected for each type in combination with blood donation activities in the future, thus obtaining blood collection information.

[0008] Based on the blood collection volume information, the blood usage allocation module analyzes blood usage requests, extracts blood data matching the type, and allocates matching blood bags for blood supply according to the remaining expiration date and size of the blood bags. It also counts the usage of each type of blood, evaluates the average daily usage of each type of blood, and obtains blood supply data.

[0009] Based on the blood supply data, the blood demand trend analysis module analyzes the changing trend of each type of blood usage in the future period according to the average daily usage, the future activity and epidemic situation in the area where the hospital is located, and obtains the blood supply trend analysis results.

[0010] Based on the blood collection volume information, blood supply volume data, and blood supply trend analysis results, the inventory assessment and scheduling module analyzes the daily increase or decrease of each blood type, and, combined with the inventory of each blood type, assesses the available quantity of each blood type 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 as follows:

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

[0013] Based on the blood collection data record set, the collection records for each type of blood are filtered, the total collection volume for each type of blood is calculated, and the total collection volume data is obtained.

[0014] Based on the total collected data, using the formula:

[0015]

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

[0017] Where C is the average daily collection amount, n C It is the number of days collected, V total This represents the total number of data collected.

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

[0019] Based on future blood donation activities, records of similar blood donation activities are extracted, the correlation between blood donation activity data and blood collection volume is analyzed, the impact of blood donation activities on collection volume is assessed, and the results of the activity impact analysis are obtained.

[0020] Based on the analysis results of the daily average collection volume, the changes in the daily average blood collection volume over a period of time are analyzed, the rate of change of blood collection volume is evaluated, and the collection volume rate information is obtained.

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

[0022] T = R T ×(1+α T ×P T );

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

[0024] Where T is the trend index of the collection volume, and α T It is the adjustment factor, P T It is the activity intensity parameter, R T This represents the rate of change in the amount of blood collected.

[0025] The present invention is improved in that the step of allocating and matching blood bags to provide blood supply is as follows:

[0026] Based on the blood collection volume information, the total collection volume and available inventory of each type of blood are analyzed, and blood type data matching the usage request is extracted to obtain a matching type blood dataset;

[0027] Based on the blood dataset of the matching type, blood packs that meet the requirements are filtered according to the blood usage request, and the remaining expiration date and size of the blood packs are extracted to obtain a list of matching blood packs;

[0028] Based on the matched list of blood bags, the formula is used:

[0029]

[0030] Calculate the usage priority index for each blood pack, and allocate matching blood packs for blood supply based on the usage priority index to obtain the blood supply allocation result;

[0031] Where P is the priority index for blood pack usage, and D... v S indicates the remaining shelf life of the blood pack. v This represents the size of the blood bag, and λ is the weighting coefficient.

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

[0033] 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;

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

[0035]

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

[0037] Where A is the average daily usage, S t N represents the total usage. d This indicates the number of days in the statistics.

[0038] The present invention is improved in that the steps for obtaining the blood supply trend analysis results are as follows:

[0039] Based on the blood supply data, the data was processed, including the average daily usage of each type of blood, and data on sports activities and epidemic conditions in the area where the hospital is located were extracted to obtain an impact analysis dataset.

[0040] Based on the aforementioned impact analysis dataset, statistical methods are used to analyze the changes in the usage of each blood type in the future period. Combining the potential impact of seasonal variations and regional events on blood usage, the daily average usage change rate is analyzed to obtain usage change rate information.

[0041] Based on the aforementioned rate of change in usage, using 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 results;

[0044] Where Y is the usage trend index, and α Y It is the adjustment factor, E Y It is a quantitative indicator of activity intensity, β Y It is the epidemic impact coefficient, P Y It is a quantitative indicator of the impact of an epidemic, R Y This represents the rate of change in usage.

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

[0046] 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 the usage dataset of each blood type.

[0047] Based on the usage dataset for each blood type, the formula is used:

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

[0049] Calculate the daily increase or decrease for each blood type to obtain the increase / decrease assessment results;

[0050] Where B represents the daily increase / decrease, C represents the daily average collection volume, T represents the collection volume trend index, A represents the daily average usage volume, Y represents the usage volume trend index, and α represents the daily average usage volume. B and β B It is an adjustment factor.

[0051] The present invention is improved in that the step of obtaining the blood inventory analysis information is as follows:

[0052] Based on the increase / decrease assessment results, by analyzing blood usage records and supply interruption situations, a preset optimal inventory level for each blood type is set to obtain inventory correlation data;

[0053] Based on the aforementioned inventory correlation data, using the formula:

[0054] V = S V +(B×D V )-M V ;

[0055] Calculate the available quantity of each type of blood, and determine whether each type of blood can be allocated and called based on the sign of the available quantity value, thereby obtaining blood inventory analysis information;

[0056] Among them, S V M represents the current inventory level. V A is the preset optimal inventory level, B is the daily increase / decrease, and D is the daily increase / decrease. V V represents the expected number of days of use, and V represents the available amount of blood.

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

[0058] In this invention, by recording and analyzing blood collection information, the statistics of blood collection volume, and the calculation of the daily average collection volume, blood centers can accurately grasp the dynamic changes in blood resources, thereby predicting future supply and demand relationships. This allows for more rational allocation of blood resources. Through the analysis of blood usage requests, precise allocation of blood is achieved, ensuring the effective use of blood and reducing waste. Based on the daily average usage data and future forecasts, inventory assessment and scheduling optimization are performed, improving the turnover rate of blood products, avoiding surplus or shortage, ensuring the smooth operation of medical activities, enhancing the system's response speed, and improving the overall quality of medical services and patient safety. Attached Figure Description

[0059] Figure 1 This is a system flowchart of the present invention;

[0060] Figure 2 This is a flowchart illustrating the daily average collection volume of each blood type in this invention;

[0061] Figure 3 This is a flowchart illustrating the process of obtaining blood collection volume information according to the present invention;

[0062] Figure 4 A flowchart illustrating the allocation of matching blood bags for blood supply in accordance with this invention;

[0063] Figure 5 This is a flowchart illustrating the process of obtaining blood supply data according to the present invention;

[0064] Figure 6 This is a flowchart illustrating the process of obtaining blood supply trend analysis results according to the present invention;

[0065] Figure 7 This is a flowchart illustrating the daily increase and decrease in blood type for this invention;

[0066] Figure 8 This is a flowchart illustrating the process of obtaining blood inventory analysis information according to the present invention. Detailed Implementation

[0067] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0068] In the description of this invention, it should be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships, are based on the orientation or positional relationships shown in the accompanying drawings and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, in the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0069] Please see Figure 1 This 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 amount of blood collected each time, the collection time, the blood type and the storage time based on the blood collection information. It also counts the amount of blood collected for each type, analyzes the average daily amount of blood collected for each type, and analyzes the changing trend of the amount of blood collected for each type in combination with blood donation activities in the future, thus obtaining blood collection information.

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

[0072] The blood demand trend analysis module is based on blood supply data. According to the average daily usage, the future activity and epidemic situation in the area where the hospital is located, it analyzes the changing trend of each type of blood usage in the future period and obtains the blood supply trend analysis results.

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

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

[0075] Please see Figure 2 The steps for analyzing the average daily collection volume of each blood type are as follows:

[0076] Based on blood collection information, blood collection record data is collected and organized, and the blood collection volume, collection time, blood type and storage time for each collection 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, collection time, blood type, and storage time. Each record detailed the specific information of the collection amount, collection time, blood type, and storage time. The dataset consisted of data input and verification processes to ensure the accuracy and completeness of the data. Through database query and data processing technologies, the required information was extracted from the blood collection records. Records for each blood type were accurately classified and labeled to facilitate subsequent data analysis and processing. This record set served as the basic data source for analysis and statistics.

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

[0079] From the organized blood collection records, all records for each blood type were selected. Through database query and data processing techniques, data for the corresponding blood type was extracted from the record set, and the total collection volume for a specific blood type was calculated. The total collection volume was obtained by using a summation function, ensuring the accuracy and completeness of the data. This total collection volume data was used to calculate the daily average collection volume, providing necessary input parameters for subsequent steps.

[0080] Based on the total collected data, using the formula:

[0081]

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

[0083] Where C is the average daily collection amount, n C It is the number of days collected, V totalThis represents the total number of data collected.

[0084] formula:

[0085]

[0086] The advantage of the formula is that it can quickly derive the average value from the cumulative data through a simple division operation. This 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 its calculation derivation:

[0088] If, within a specific collection period, the total amount of blood of a specific blood type collected is 500 units, and the collection period is 25 days, then the calculation process for the average daily collection volume is as follows:

[0089]

[0090] The results indicate that the average daily collection volume of this blood type was 20 units during this collection period, which helps to predict future collection demand and inventory maintenance strategies, ensuring a balance between blood supply and demand.

[0091] Please see Figure 3 The steps for obtaining blood collection volume information are as follows:

[0092] Based on future blood donation activities, records of similar blood donation activities are extracted, the correlation between blood donation activity data and blood collection volume is analyzed, the impact of blood donation activities on collection volume is assessed, and the results of the activity impact analysis are obtained.

[0093] Through detailed analysis of historical blood donation data, collection records of specific blood types were collected. The data was obtained from hospital and blood donation center databases, including collection time, blood type, collection volume, and specific date of the collection activity. After screening and preprocessing, the data was used for analysis. For example, data cleaning techniques were used to remove incomplete or erroneous records, and statistical analysis methods, such as mean calculation and standard deviation assessment, were used to analyze the fluctuations in the collection volume of each type of blood over different time periods. The calculations helped to identify significant trends in historical collection data, serving 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 blood collection volume is evaluated, and the collection volume rate information is obtained.

[0095] Data was extracted from historical impact analysis results, focusing on the daily rate of change in blood collection volume. The data was obtained through data analysis techniques such as time series analysis and regression models. A linear regression model was applied to fit a trend line to the past daily collection data. Data points for date and collection volume were incorporated into the calculation process. This method can effectively estimate the increase or decrease trend of blood collection volume in the short term. The results of this trend analysis 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 data collection rate information and the results of the activity impact analysis, using the formula:

[0097] T = R T ×(1+α T ×P T );

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

[0099] Where T is the trend index of the collection volume, and α T It is the adjustment factor, P T It is the activity intensity parameter, R T This represents the rate of change in the amount of blood collected.

[0100] formula:

[0101] T = R T ×(1+α T ×P T );

[0102] Detailed explanation of the formula and its calculation derivation: Let R be... T The rate of increase / decrease in blood collection, derived from historical data analysis, has a value of 0.03, representing a daily change rate of 3%. α T To adjust the coefficient, based on the correlation analysis between historical data and future activity predictions, 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 blood donation activity intensity over the next month is set at 0.5, meaning an expected increase of 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 indicate that, taking into account the increased intensity of future blood donation activities, the average daily collection rate is expected to increase from 3% to 3.3%, making this indicator crucial for predicting future blood stocks and adjusting collection plans.

[0105] Please see Figure 4The steps for allocating matching blood bags to provide blood are as follows:

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

[0107] Based on blood collection volume information, relevant blood collection volume information is retrieved from blood information management information, including the total collection volume and available inventory for each blood type. This data is obtained in real time through the database interface between the blood center and the hospital, ensuring the accuracy and timeliness of the information. The system automatically identifies and extracts blood types that meet specific usage requests. For example, if a surgery requires AB type blood, the system will immediately list all available AB type blood inventory, including the capacity and expiration date of each unit. The process uses data matching and filtering algorithms to ensure that the selected blood unit is most suitable for the upcoming medical procedure.

[0108] Based on the blood dataset with matching types, blood bags that meet the requirements are filtered according to blood usage requests, and the remaining expiration date and size of the blood bags are extracted to obtain a list of matching blood bags;

[0109] Based on the matched blood dataset, the selected blood bag data is analyzed, taking into account the remaining expiration date and size of each blood bag. The remaining usage time of each blood bag is calculated, and its physical conditions are checked to see if they are suitable for long-term storage or rapid use. The allocation order of blood bags is automatically optimized. For example, blood bags that are about to expire or are small in size and can be used up in a short period of time are given priority to patients who urgently need surgery or treatment. The optimization process improves the efficiency of resource utilization and also ensures the quality and safety of blood products.

[0110] Based on the matched list of blood bags, using the formula:

[0111]

[0112] Calculate the usage priority index for each blood pack, and allocate matching blood packs for blood supply based on the usage priority index to obtain the blood supply allocation result;

[0113] Where P is the priority index for blood pack usage, and D... v S indicates the remaining shelf life of the blood pack. v This represents the size of the blood bag, and λ is the weighting coefficient.

[0114] formula:

[0115]

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

[0117] Setting D vThis represents the remaining validity period (in days) of the blood pack. A specific blood pack has a remaining validity period of 10 days. v The volume of the blood pack (in liters) is 1 liter. λ is the weighting coefficient of the blood pack size on priority. By analyzing past data, λ = 0.5 is set, meaning that for every liter increase in volume, its impact on priority is half that of the remaining expiration date. The calculation process is as follows:

[0118]

[0119] The results showed that, given the shelf life and volume, the priority index for the use of the blood pack was 0.095. This value is used to guide the specific allocation of blood packs, ensuring that the blood resources that need to be used most urgently are given priority, so as to avoid waste and ensure the timeliness of blood supply.

[0120] Please see Figure 5 The steps for obtaining blood supply data are as follows:

[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 statistical information on the usage of each type of blood;

[0122] Based on the blood supply allocation results, detailed records of each blood type used in the hospital were extracted. Data was collected from various blood-using departments, including operating rooms, emergency rooms, and other key departments. The statistical data included the date and time of use, as well as the blood type and quantity. The data was verified and cleaned to ensure its accuracy and completeness. Then, the data was classified and summarized using automated tools to generate usage statistics for each type of blood, providing basic data for subsequent analysis and ensuring timely data updates and efficient management.

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

[0124]

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

[0126] Where A is the average daily usage, S t N represents the total usage. d This indicates the number of days in the statistics.

[0127] formula:

[0128]

[0129] Detailed explanation of the formula and its calculation derivation: Let S be... tFor a specific blood type, the total usage during the observation period is given. Let AB blood type be used in the past 30 days at 600 units, N. d This indicates the number of days for the statistical analysis, which is 30 days. The calculation process is as follows:

[0130]

[0131] The results showed that the average daily usage of AB blood was 20 units. The data helps hospitals better manage blood resources. By using the data on average daily usage, hospitals can predict future blood demand, optimize blood inventory and allocation strategies, and ensure that blood demand can be met in both routine and emergency situations.

[0132] Please see Figure 6 The steps for obtaining the blood supply trend analysis results are as follows:

[0133] Based on blood supply data, data processing was carried out, including the average daily usage of each type of blood, and data on sports activities and epidemic conditions in the area where the hospital is located were extracted to obtain an impact analysis dataset.

[0134] Based on blood supply data, various blood usage data recorded in the hospital system were integrated, and records of epidemic occurrences and sports activities in relevant areas were collected. These data were used to predict factors affecting future blood demand. Through data cleaning and preprocessing, the accuracy and usability of the data used were ensured. The analysis process included identifying outliers and filling in missing values ​​in the data to ensure the accuracy of the analysis and obtain the impact analysis dataset, which provided basic input data for the blood demand prediction model.

[0135] Based on the impact analysis dataset, statistical methods are used to analyze the changes in the usage of each blood type in the future period. 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 dataset, time series analysis methods are used in conjunction with historical blood usage data to perform trend analysis to predict future demand. This includes identifying seasonal factors and other cyclical changes. Moving averages are calculated for each blood type to smooth short-term fluctuations. Exponential smoothing techniques are used to weight recent data to improve the speed of prediction. Through these steps, the possible future rate of change R in average daily usage is estimated. Y For example, if the usage of type A blood has increased by 10% per month over the past three months, then calculate R. Y To calculate the expected growth rate for the coming months, the calculations are based not only on past actual data but also on events that may cause a surge in demand, such as holidays or flu season. This analysis helps hospitals make more accurate inventory plans and contingency strategies to adapt to changing future demands.

[0137] Based on the rate of change in usage, using the formula:

[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 results;

[0140] Where Y is the usage trend index, and α Y It is the adjustment factor, E Y It is a quantitative indicator of activity intensity, β Y It is the epidemic impact coefficient, P Y It is a quantitative indicator of the impact of an epidemic, R Y This represents the rate of change in usage.

[0141] formula:

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

[0143] The advantage of this formula lies in its ability to more accurately predict blood usage and reflect the impact of impending events in real time by incorporating quantitative parameters of exercise intensity and the effects of epidemics. The α value in the formula... Y and β Y By separately modulating the effects of activity and disease on blood demand, the adaptability and sensitivity of the predictive model were improved, ensuring that hospitals could respond quickly in the face of public health emergencies.

[0144] Detailed explanation of the formula and its calculation derivation: Let R be the rate of change in usage over the past 30 days. Y The activity intensity assessment value is 0.5%, and a large-scale sports event is expected in the future. Y The value is 0.1, and a moderate epidemic outbreak is predicted. The epidemic impact assessment value P is... Y The adjustment coefficient α is 0.05. Y β is 0.3 Y The value 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 indicate that, taking into account upcoming sporting events and pandemic outbreaks, the growth rate of blood usage is expected to increase from 0.5% to 0.52%, which will help hospitals make more accurate predictions and adjustments in resource allocation.

[0149] Please see Figure 7 The steps for analyzing the daily increase or decrease for each blood type are as follows:

[0150] Based on 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 the usage dataset of each blood type.

[0151] Based on blood collection volume information, blood supply volume data, and blood supply volume trend analysis results, we collected and organized the daily average collection volume and daily average usage volume for each blood type, as well as the collection volume change trend index and usage volume change trend index. The data comes from existing blood collection and usage records. Through data cleaning and standardization, we ensured that the data quality met the analysis requirements, and obtained the usage dataset for each blood type to prepare for the analysis.

[0152] Based on the usage dataset for each blood type, using the formula:

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

[0154] Calculate the daily increase or decrease for each blood type to obtain the increase / decrease assessment results;

[0155] Where B represents the daily increase / decrease, C represents the daily average collection volume, T represents the collection volume trend index, A represents the daily average usage volume, Y represents the usage volume trend index, and α represents the daily average usage volume. B and β B It is an adjustment factor.

[0156] formula:

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

[0158] The advantage of the formula is that it can comprehensively consider the changing trends of the amount of data collected and used, as well as the impact of external activities, to ensure the accuracy and adaptability of the predicted data.

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

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

[0161] Formula calculation derivation process:

[0162] Calculate the predicted value after adjusting the collected data:

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

[0164] Calculate the usage-adjusted forecast:

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

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

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

[0168] Please see Figure 8 The steps for obtaining blood inventory analysis information are as follows:

[0169] Based on the results of the increase / decrease assessment, by analyzing blood usage records and supply interruption situations, a preset optimal inventory level for each blood type is set to obtain inventory correlation data;

[0170] Based on the assessment results of increases and decreases, inventory records from the past 12 months are collected. Using data analysis techniques, such as time series analysis, demand fluctuations for each blood type and potential supply chain disruption risks are predicted. Combined with hospital consumption rates and insurance storage standards, an 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 the necessary treatment, and will provide inventory correlation data.

[0171] Based on inventory correlation data, using the formula:

[0172] V = S V +(B×D V )-M V;

[0173] Calculate the available quantity of each type of blood, and determine whether each type of blood can be allocated and called based on the sign of the available quantity value, thereby obtaining blood inventory analysis information;

[0174] Among them, S V M represents the current inventory level. V A is the preset optimal inventory level, B is the daily increase / decrease, and D is the daily increase / decrease. V V represents the expected number of days of use, and V represents the available amount of blood.

[0175] formula:

[0176] V = S V +(B×D V )-M V ;

[0177] The advantage 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 conditions, enabling hospitals to make more strategic resource allocations based on forecast data.

[0178] Detailed explanation of the formula and its calculation derivation: The current inventory S... V A) Daily increase / decrease; B) Number of days considered; D) V And the preset optimal inventory level M V Substituting these values ​​into the formula, we can calculate the available quantity V at a future point in time. For example, assuming the current inventory is 100 units, the daily increase / decrease is 5 units, the consideration period is 30 days, and the preset optimal inventory level is 120 units, the calculation process is as follows:

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

[0180] The results indicate that, considering daily increases and decreases and the preset optimal inventory level, the available supply over the next 30 days is 130 units. This value is crucial for hospitals, directly impacting their emergency response capabilities and long-term blood supply plans.

[0181] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments that can be applied to other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A blood collection and supply information management system, characterized in that, The system includes: The blood collection data analysis module records the amount of blood collected each time, the collection time, the blood type and the storage time based on the blood collection information. It also counts the amount of blood collected for each type, analyzes the average daily amount of blood collected for each type, and analyzes the changing trend of the amount of blood collected for each type in combination with blood donation activities in the future, thus obtaining blood collection information. Based on the blood collection volume information, the blood usage allocation module analyzes blood usage requests, extracts blood data matching the type, and allocates matching blood bags for blood supply according to the remaining expiration date and size of the blood bags. It also calculates the usage volume of each type of blood, evaluates the average daily usage volume of each type of blood, and obtains blood supply volume data. Based on the blood supply data, the blood demand trend analysis module analyzes the changing trend of each type of blood usage in the future period according to the average daily usage, the future activity and epidemic situation in the area where the hospital is located, and obtains the blood supply trend analysis results. Based on the blood collection volume information, blood supply volume data, and blood supply trend analysis results, the inventory assessment and scheduling module analyzes the daily increase or decrease of each blood type, and, combined with the inventory of each blood type, assesses the available quantity of each blood type to obtain blood inventory analysis information. The steps for obtaining the blood supply trend analysis results are as follows: Based on the blood supply data, the data was processed, including the average daily usage of each type of blood, and data on sports activities and epidemic conditions in the area where the hospital is located were extracted to obtain an impact analysis dataset. Based on the aforementioned impact analysis dataset, statistical methods are used to analyze the changes in the usage of each blood type in the future period. Combining the potential impact of seasonal variations and regional events on blood usage, the daily average usage change rate is analyzed to obtain usage change rate information. Based on the aforementioned rate of change in usage, using the formula: ； Calculate the usage trend index to obtain the blood supply trend analysis results; in, This is a usage trend index. It is an adjustment factor. It is a quantitative indicator of activity intensity. It is the impact coefficient of the epidemic. It is a quantitative indicator of the impact of the epidemic. This represents the rate of change in usage.

2. The blood collection and supply information management system according to claim 1, characterized in that, The steps for analyzing the average daily collection volume of each blood type are as follows: Based on blood collection information, blood collection record data is collected and organized, and the blood collection volume, collection time, blood type and storage time for each collection are extracted to obtain a blood collection data record set; Based on the blood collection data record set, the collection records for each type of blood are filtered, the total collection volume for each type of blood is calculated, and the total collection volume data is obtained. Based on the total collected data, using the formula: ； Calculate the average daily collection volume for each type of blood and obtain the analysis results of the average daily collection volume; in, This represents the average daily collection volume. It is the number of days of data collection. This represents the total number of data collected.

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 as follows: Based on future blood donation activities, records of similar blood donation activities are extracted, the correlation between blood donation activity data and blood collection volume is analyzed, the impact of blood donation activities on collection volume is assessed, and the results of the activity impact analysis are obtained. Based on the analysis results of the daily average collection volume, the changes in the daily average blood collection volume over a period of time are analyzed, the rate of change of blood collection volume is evaluated, and the collection volume rate information is obtained. Based on the aforementioned data collection rate information and activity impact analysis results, using the formula: ； Calculate the collection volume trend index to obtain blood collection volume information; in, This is a trend index for the amount of data collected. It is an adjustment factor. It is an activity intensity parameter. This represents the rate of change in the amount of blood collected.

4. The blood collection and supply information management system according to claim 1, characterized in that, The steps for allocating and matching blood bags to provide blood are as follows: Based on the blood collection volume information, the total collection volume and available inventory of each type of blood are analyzed, and blood type data matching the usage request is extracted to obtain a matching type blood dataset; Based on the blood dataset of the matching type, blood packs that meet the requirements are filtered according to the blood usage request, and the remaining expiration date and size of the blood packs are extracted to obtain a list of matching blood packs; Based on the matched list of blood bags, the formula is used: ； Calculate the usage priority index for each blood pack, and allocate matching blood packs for blood supply based on the usage priority index to obtain the blood supply allocation result; in, This is a priority index for the use of blood packs. This indicates the remaining shelf life of the blood pack. Indicates the size of the blood bag. It is the weighting coefficient.

5. The blood collection and supply information management system according to claim 4, characterized in that, The steps for obtaining the blood supply data are as follows: 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; Based on the usage statistics for each type of blood, using the formula: ； Calculate the average daily usage of each type of blood to obtain blood supply data; in, This represents the average daily usage. Indicates total usage. This indicates the number of days in the statistics.

6. The blood collection and supply information management system according to claim 1, characterized in that, The steps for analyzing the daily increase or decrease in each blood type are as follows: 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 the usage dataset of each blood type. Based on the usage dataset for each blood type, the formula is used: ； Calculate the daily increase or decrease for each blood type to obtain the increase / decrease assessment results; in, For daily increases and decreases, Average daily collection volume It is a data collection trend index. Average daily usage It is a usage trend index. and It is an adjustment factor.

7. The blood collection and supply information management system according to claim 6, characterized in that, The steps for obtaining the blood inventory analysis information are as follows: Based on the increase / decrease assessment results, by analyzing blood usage records and supply interruption situations, a preset optimal inventory level for each blood type is set to obtain inventory correlation data; Based on the aforementioned inventory correlation data, using the formula: ； Calculate the available quantity of each type of blood, and determine whether each type of blood can be allocated and called based on the sign of the available quantity value, thereby obtaining blood inventory analysis information; in, This is the current inventory level. It is the preset optimal inventory level. Daily increase or decrease This is the expected number of days of use. This refers to the amount of blood available for use.

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