Management method and system for operating room storehouse consumables

Abstract

The invention discloses a management method and system for operating room storehouse consumables, relates to the field of operation consumable management, and solves the problem that in operating room storehouse consumable management, a dynamically matched management period and an inventory prediction mode are difficult to set according to consumable requirements; and an operation consumable consumption prediction mode taking an operation type and a doctor behavior mode as double references is difficult to set. According to the method, dynamic time periods are planned, feature consumable data of each dynamic time period is determined based on historical consumable data, standard consumable data of the next dynamic time period are determined, and a purchase list is set based on the standard consumable data of the next dynamic time period; determining a consumption factor of each attending doctor based on the operation consumption data, and determining intra-operation consumable data of the reserved operating room according to the consumption factors of the attending doctors; based on the intraoperative consumable data, the consumables are conveyed to the reserved operating room through a consumable vehicle; according to the invention, the accuracy and foresight of operating room storehouse consumable management can be improved.

Description

Technical Field

[0001] This invention relates to the field of surgical consumables management, specifically a management method and system for consumables in operating room storage. Background Technology

[0002] As one of the most critical and resource-intensive areas in a hospital, the management of consumables in the operating room directly impacts medical quality, patient safety, and operational efficiency. With the rapid development of medical technology and the deepening of medical reforms, traditional operating room consumable management models are no longer sufficient to meet the needs of modern hospital management, making the development of more scientific and efficient management methods and systems imperative.

[0003] Currently, most management methods for surgical consumables in operating room warehouses lack the ability to set up dynamically matched management cycles and inventory forecasting models based on consumable demand. They rely on fixed time periods for replenishment and statistics, failing to reflect the dynamic fluctuations in surgical consumption caused by seasonal changes, differences in surgical types, or the attending physician's usage habits, thus hindering the accuracy of inventory forecasting. Furthermore, most management methods for surgical consumables in operating room warehouses lack a dual-benchmark surgical consumable consumption forecasting model based on both surgical type and physician behavior patterns. They simply allocate surgical consumables based on physician requests, making it difficult to perfectly match actual demand with artificially set quantities, increasing the probability of temporary allocations or waste.

[0004] Therefore, this invention discloses a management method and system for consumables in operating room warehouses, which solves the above-mentioned technical problems. Summary of the Invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a management method and system for operating room warehouse consumables, which is used to solve the technical problems in the management of operating room warehouse consumables, such as the difficulty in setting a dynamically matched management cycle and inventory forecasting mode according to the demand for consumables, and the difficulty in setting a surgical consumable consumption forecasting mode "based on surgical type + doctor behavior mode as dual benchmarks".

[0006] To achieve the above objectives, a first aspect of the present invention provides a method for managing consumables in an operating room warehouse, comprising: Collect hospital consumables data, operating room surgical consumption data, and attending physicians for each scheduled operating room; among them, consumables data includes the types and quantities of consumables, and surgical consumption data includes the types and quantities of consumables used in the corresponding attending physician's surgery. The plan includes dynamic time periods, determining characteristic consumable data for each dynamic time period based on historical consumable data, determining standard consumable data for the next dynamic time period based on the characteristic consumable data for the dynamic time period, and setting up a procurement list based on the standard consumable data for the next dynamic time period. Among these, characteristic consumable data includes the characteristic quantity corresponding to the consumable type, and standard consumable data includes the standard quantity corresponding to the consumable type. Based on surgical consumption data, the consumption factors of each attending physician are determined, and the intraoperative consumable data for the scheduled operating room is determined based on the attending physician's consumption factors. Based on the intraoperative consumable data, the consumables are transported to the scheduled operating room via a consumable cart before the operation. The intraoperative consumable data includes the types and quantities of consumables used in the operation.

[0007] Preferably, the collection of hospital consumables data, operating room surgical consumption data, and attending physicians for each scheduled operating room includes: The types and quantities of consumables remaining in the hospital can be identified by retrieving the types and quantities of consumables from the inventory room, returning the types and quantities of consumables, and identifying the types and quantities of original consumables. By identifying the types and quantities of consumables retrieved from the inventory room by each operating room and returning the types and quantities of consumables, the type and quantity of consumables used in the surgery performed by the corresponding attending physician in each operating room can be determined. The attending physicians for each scheduled operating room are obtained through the hospital's internal appointment database.

[0008] Preferably, the planned dynamic time period includes: When the current time reaches the target time point of the current dynamic period, extract the total consumable consumption of each of the previous n dynamic periods. Based on total consumable consumption The time length of the next dynamic period is determined by formula (1). ; This will set the last time point of the current dynamic time period and the duration of the next dynamic time period. The sums are used to obtain the time range of the next dynamic period; where the target time point is a fixed percentage of the time points in each dynamic period, and the fixed percentage is manually set, such as 60%; This represents the number of the nth dynamic time period preceding the current time, where n is manually set and is typically 10. The calculation formula (1) is: ; In the formula, The maximum number of days within a manually set standard dynamic duration range. The minimum number of days for a manually set standard dynamic duration range. The number of days corresponding to the median value of the manually set standard dynamic duration range, which can be [3,7]. This represents the average total consumption of consumables across various dynamic periods in history. To find the minimum value function, To find the maximum value function, This is the floor symbol; To obtain the mode function, To determine the percentile function, the specific percentage value of the percentile is obtained manually, typically 65%. , and All of these are manually set proportional adjustment coefficients, and , .

[0009] Preferably, the determination of characteristic consumable data for each dynamic time period based on historical consumable data includes: Obtain the time range of each dynamic period in the m dynamic periods before the current time, and mark the time range of the dynamic period as the target period in order from time to time. Integrate the consumable data of the target period in the time range of each historical month into a consumable data group; where m is obtained by manual setting, and is generally taken as 8. The quantities of consumables in each consumable data group are integrated into several sub-data groups according to the type of consumables. The variance of the quantity of consumables in each sub-data group is obtained sequentially, and it is determined whether the variance is less than the corresponding variance judgment threshold. If yes, the average quantity of consumables in the sub-data group is calculated to obtain the characteristic quantity. If no, the quantity with the largest absolute value of the difference from the average quantity in the sub-data group is removed, the variance of the sub-data group is recalculated, and the variance judgment is performed again until the variance of the sub-data group is less than the corresponding variance judgment threshold. Then, the average quantity of the remaining consumables in the sub-data group is calculated to obtain the characteristic quantity. The variance judgment threshold is obtained empirically.

[0010] Preferably, the step of determining the standard consumable data for the next dynamic period based on the characteristic consumable data of the dynamic period includes: The feature counts of sub-data groups in each consumables data group are integrated into several feature count groups according to the consumable type. These feature count groups are then extracted sequentially, and the feature counts within each feature count group are marked chronologically from front to back. And based on the calculation formula (2), the average change ratio of the number of adjacent features is determined. Based on average change ratio The standard quantity of consumables corresponding to the characteristic quantity group is determined by formula (3). ;in, Let be the number of each feature in the feature quantity group, and The value range is [1, m]; The calculation formula (2) is: ; The calculation formula (3) is: ; In the formula, This is the average of the last three feature counts in the corresponding feature count group; An adjustment factor is set based on the historical number of shortages for the corresponding consumable type, and The value range is [0, 2].

[0011] Preferably, the step of setting the procurement list based on standard consumable data for the next dynamic time period includes: Extract the standard quantity corresponding to each type of consumable in the next dynamic period. Based on the types of consumables whose stored quantity in the inventory room is less than the standard quantity, and the difference between the standard quantity and the stored quantity of the consumables, a purchase list is established. Purchasing personnel purchase consumables according to the purchase list.

[0012] Preferably, the determination of consumption factors for each attending physician based on surgical consumption data includes: Surgeries performed by the same attending physician were divided into F surgical groups based on their type. The surgical groups were then sequentially extracted, and the quantity of consumables used in each group was further categorized into several quantity groups based on the type of consumables. The percentile of each quantity group was then used to indicate the physician's consumable consumption for that specific type of consumable. And obtain the amount of medical supplies consumed by doctors. Consumables of all attending physicians average The percentile is determined manually, and is typically set to 80% when the quantities are sorted from smallest to largest. This is the serial number of the consumable type corresponding to the current attending physician. The surgical type is indicated by a number. Based on doctors' consumption of consumables and average The consumption factor corresponding to the type of consumables used by the attending physician under the current surgical type is determined by formula (4). ; The calculation formula (4) is: ; In the formula, This is a weighting adjustment factor used to adjust the types of consumables, and The value range is [0,2], which is determined based on the cost of the consumables for each type of consumable.

[0013] Preferably, the step of determining the intraoperative consumable data for the scheduled operating room based on the attending physician's consumption factor includes: The preliminary usage of each type of consumable in the scheduled operating room for this surgery was extracted from the surgical consumable standard comparison database, and the consumption factors corresponding to the types of consumables used by the attending physician were also extracted. Multiply the initial usage of the same type of consumables by the consumption factor. Rounding the value up, we get the quantity of each type of consumable used in the scheduled surgery in the reserved operating room.

[0014] Preferably, the step of transporting consumables to the scheduled operating room before surgery via a consumables cart based on intraoperative consumables data includes: Y minutes before the scheduled surgery begins, the intraoperative consumables data for the scheduled operating room is transmitted to the inventory room. Consumables are then stocked on the consumables cart based on this data. After the consumables cart receives the consumables, the inventory room staff generates a data flow table based on the EPC number of the consumables. Here, Y is obtained through manual setting. The consumables cart transports consumables to the designated scheduled operating room, where staff collect the consumables after identity verification. After the surgery, staff put the unused consumables into the consumables cart, and the cart returns to the inventory room to return the consumables.

[0015] A second aspect of the present invention provides a management system for operating room consumables, comprising: a consumables management module, and a data collection module and an intraoperative circulation module connected to the consumables management module; The data collection module is used to collect hospital consumable data, operating room surgical consumption data, and attending physicians for each scheduled operating room; among which, consumable data includes the types and quantities of consumables, and surgical consumption data includes the types and quantities of consumables used in the corresponding attending physician's surgery. The consumables management module is used to plan dynamic time periods, determine the characteristic consumables data for each dynamic time period based on historical consumables data, determine the standard consumables data for the next dynamic time period based on the characteristic consumables data for the dynamic time period, and set the procurement list based on the standard consumables data for the next dynamic time period. The characteristic consumables data includes the characteristic quantity corresponding to the consumable type, and the standard consumables data includes the standard quantity corresponding to the consumable type. The intraoperative circulation module is used to determine the consumption factors of each attending physician based on surgical consumption data, and to determine the intraoperative consumable data of the scheduled operating room based on the attending physician's consumption factors; based on the intraoperative consumable data, the consumables are transported to the scheduled operating room by a consumable cart before the operation; wherein, the intraoperative consumable data includes the types and quantities of consumables used in the operation.

[0016] Compared with the prior art, the beneficial effects of the present invention are: 1. This invention solves the technical problems in operating room consumable management, such as the difficulty in setting dynamically matched management cycles and inventory forecasting models based on consumable demand, and the difficulty in setting a surgical consumable consumption forecasting model based on "surgery type + doctor behavior pattern as dual benchmarks," by collecting hospital consumable data, operating room surgical consumption data, and attending physicians of each scheduled operating room; planning dynamic time periods, determining characteristic consumable data for each dynamic time period based on historical consumable data, determining standard consumable data for the next dynamic time period based on the characteristic consumable data of the dynamic time period, and setting a procurement list based on the standard consumable data of the next dynamic time period; determining the consumption factors of each attending physician based on surgical consumption data, and determining intraoperative consumable data for the scheduled operating room based on the consumption factors of the attending physicians; and transporting consumables to the scheduled operating room before surgery using consumable carts based on intraoperative consumable data. This invention can improve the accuracy and foresight of operating room consumable management.

[0017] 2. This invention not only achieves precise allocation at the level of a single consumable type, but also forms a dynamic matching mechanism at the overall consumable structure level. This ensures that the inventory of consumables in the warehouse remains at an optimal state under different seasons, different types of surgeries, and different attending physicians' operations, reducing stockpiling, minimizing waste due to expiration, and improving the economic efficiency of procurement and warehousing. More importantly, the conversion process from characteristic data to standard data in this invention is scalable and universal. In the future, it can be iteratively optimized with more real-time data sources to gradually form a closed-loop consumable demand prediction model, realizing the upgrade of hospital inventory management from experience-driven to data-driven.

[0018] 3. This invention, on the one hand, can provide more accurate and personalized parameters for intraoperative consumable delivery, avoiding over- or under-delivery of consumables due to standardized procedures; on the other hand, it can form a set of quantitative indicators of physician consumable usage behavior, providing data support for hospitals to optimize subsequent surgical consumable management strategies, conduct cost analysis, and train and improve physician behavior. Furthermore, the factor calculation mechanism in this invention is continuously updated; as new surgical data enters the system, consumption factors can be automatically adjusted, enabling the consumable management system to achieve adaptive optimization. This invention achieves a management upgrade from "based on surgical type" to "based on both surgical type and physician behavior patterns," making consumable prediction more consistent with real-world scenarios and significantly improving the efficiency, accuracy, and economy of the operating room consumable supply chain. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a schematic diagram of the operation steps of the present invention; Figure 2 This invention illustrates the operational steps for determining the consumption factors of the attending physician. Figure 3 This is a schematic diagram of the system modules of the present invention. Detailed Implementation

[0021] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Please see Figure 1 The first aspect of this invention provides a method for managing consumables in an operating room warehouse, comprising: Collect hospital consumables data, operating room surgical consumption data, and attending physicians for each scheduled operating room; among them, consumables data includes the types and quantities of consumables, and surgical consumption data includes the types and quantities of consumables used in the corresponding attending physician's surgery. The plan includes dynamic time periods, determining characteristic consumable data for each dynamic time period based on historical consumable data, determining standard consumable data for the next dynamic time period based on the characteristic consumable data for the dynamic time period, and setting up a procurement list based on the standard consumable data for the next dynamic time period. Among these, characteristic consumable data includes the characteristic quantity corresponding to the consumable type, and standard consumable data includes the standard quantity corresponding to the consumable type. Based on surgical consumption data, the consumption factors of each attending physician are determined, and the intraoperative consumable data for the scheduled operating room is determined based on the attending physician's consumption factors. Based on the intraoperative consumable data, the consumables are transported to the scheduled operating room via a consumable cart before the operation. The intraoperative consumable data includes the types and quantities of consumables used in the operation.

[0023] It should be noted that the scheduled operating room is the operating room where the surgery will be performed.

[0024] It should be noted that consumables include ordinary gauze, catheters, surgical gloves, surgical masks, sterile surgical caps, sterile dressings, and biological agents, etc.

[0025] This application collects data on hospital consumables, surgical consumption data from operating rooms, and attending physicians for each scheduled operating room, including: The types and quantities of consumables remaining in the hospital can be identified by retrieving the types and quantities of consumables from the inventory room, returning the types and quantities of consumables, and identifying the types and quantities of original consumables. By identifying the types and quantities of consumables retrieved from the inventory room by each operating room and returning the types and quantities of consumables, the type and quantity of consumables used in the surgery performed by the corresponding attending physician in each operating room can be determined. The attending physicians for each scheduled operating room are obtained through the hospital's internal appointment database.

[0026] It should be noted that the types and quantities of remaining consumables in the hospital are identified by checking the types and quantities of consumables retrieved from the inventory room, the types and quantities of consumables returned, and the types and quantities of the original consumables. The specific steps are as follows: The remaining types and quantities of hospital consumables are obtained by subtracting the types and quantities of retrieved consumables from the original types and quantities of consumables, and then adding the types and quantities of returned consumables after retrieval. For example, the original consumables: Consumable 1 has a quantity of 200 sets, and Consumable 2 has a quantity of 100 pieces; Requisition of consumables: The requisition quantity of consumable 1 is 9 sets, and the requisition quantity of consumable 2 is 5 pieces; Returned consumables after retrieval: 0 sets of consumable 1 were returned, and 2 pieces of consumable 2 were returned; The hospital's remaining consumables are: Consumable 1 is 200-9+0=191, and Consumable 2 is 100-5+2=97.

[0027] It should be noted that the identification of the types and quantities of consumables used in the surgeries performed by the corresponding attending physicians in each operating room is based on the types and quantities of consumables retrieved and returned from the inventory room. The specific steps are as follows: The types and quantities of consumables used in the surgeries performed by the corresponding attending physicians in each operating room are obtained by subtracting the types and quantities of consumables returned after being retrieved from the inventory room.

[0028] The dynamic time periods planned in this application include: When the current time reaches the target time point of the current dynamic period, extract the total consumable consumption of each of the previous n dynamic periods. Based on total consumable consumption The time length of the next dynamic period is determined by formula (1). ; This will set the last time point of the current dynamic time period and the duration of the next dynamic time period. The sums are used to obtain the time range of the next dynamic period; where the target time point is a fixed percentage of the time points in each dynamic period, and the fixed percentage is manually set, such as 60%; This represents the number of the nth dynamic time period preceding the current time, where n is manually set and is typically 10. The calculation formula (1) is: ; In the formula, The maximum number of days within a manually set standard dynamic duration range. The minimum number of days for a manually set standard dynamic duration range. The number of days corresponding to the median value of the manually set standard dynamic duration range, which can be [3,7]. This represents the average total consumption of consumables across various dynamic periods in history. To find the minimum value function, To find the maximum value function, This is the floor symbol; To obtain the mode function, To determine the percentile function, the specific percentage value of the percentile is obtained manually, typically 65%. , and All of these are manually set proportional adjustment coefficients, and , .

[0029] It is worth noting that by designing dynamic time-segmentation steps, this invention enables intelligent and dynamic control of the operating room consumables management process, thereby significantly improving the scientific and accurate allocation of consumables. Traditional consumables management models often rely on fixed time periods for replenishment and statistics, failing to reflect the dynamic fluctuations in surgical consumption caused by seasonal changes, differences in surgical types, or the attending physician's material usage habits. This leads to management contradictions such as stockpiling of some consumables nearing their expiration date and short-term shortages of others. However, through the dynamic time-segmentation planning steps of this invention, the total historical consumable consumption can be considered. The system automatically calculates and corrects the duration DC of the next dynamic period at each target time point, based on the changing trend of the consumables. This allows the system to automatically adjust the replenishment and statistical cycles according to the actual fluctuations in consumable usage, achieving flexible control in the time dimension and avoiding the "resource allocation lag caused by fixed cycles". Secondly, this invention introduces the multi-dimensional fusion of mode, percentile and mean through calculation formula (1), and uses... , and As an adjustment weight, the setting of dynamic time periods not only takes into account the central tendency and distribution characteristics of historical consumables, but also considers the suppression effect of abnormal fluctuations, thus improving the statistical robustness and prediction accuracy of time division. Based on this, the system uses an exponential function... Achieving nonlinear dynamic convergence allows for automatic shortening of time periods and more agile data response when total consumable consumption is high; conversely, when consumption stabilizes, time periods automatically extend, reducing unnecessary calculations and management actions and achieving adaptive adjustment of the system. Furthermore, through a dynamic time period planning and update mechanism, the system can achieve higher-frequency information collection and inventory adjustments during peak surgical periods, ensuring timely supply of surgical consumables and reducing the risks associated with temporary allocation; during off-peak surgical periods, the statistical cycle is extended, reducing data processing frequency and further conserving management resources. This method effectively balances management accuracy and resource input, ensuring a high degree of match between the time scale of consumable management and the consumption rhythm. Through scientific calculation and continuous correction of the dynamic time period length, this invention can automatically generate a data-driven consumable demand forecasting rhythm, providing more accurate time dimension input for subsequent standard consumable data formulation, procurement list generation, and intraoperative consumable delivery, improving the system's predictive foresight and responsiveness. In summary, the steps of planning dynamic time periods transform the entire consumables management system from static, manual experience-based decision-making to dynamic, intelligent, and adaptive decision-making. This has significant beneficial effects on improving the efficiency of surgical material scheduling, reducing the risk of inventory backlog, optimizing warehousing and maintenance costs, and enhancing the overall intelligence level of the hospital's supply chain.

[0030] It should be noted that the target time point is a fixed percentage of each dynamic time period, such as the time point located at 60% of the dynamic time period. Setting the target time point is to give purchasing personnel enough time for purchasing.

[0031] It should be noted that, To determine the percentile function, the specific percentage value of the percentile is obtained manually. For example, the total consumption of consumables... Sort the data from smallest to largest. If the manually set percentile is 65%, then the data at the 65th position is the percentile. If there is no data at the 65th position, then the data closest to the 65th position is taken as the percentile.

[0032] It should be noted that the proportional adjustment coefficient Because: What is multiplied is the total consumption of consumables. percentile value, What is multiplied is the total consumption of consumables. The mode, What is multiplied is the total consumption of consumables. The average value; for a set of data, manually set percentile values ​​can more specifically reflect the manager's preference for the data. Therefore, percentile values ​​can better represent the manager's desired values. Thus, the proportional adjustment coefficient set for percentile values ​​in this invention is greater than the proportional adjustment coefficients for the mode and the mean. Among the mode and the mean, the mode can indirectly reflect the center of gravity of the current data group. Compared with the mean, it can more accurately identify the natural tendency of the current data group. Therefore, the proportional adjustment coefficient set for the mode in this invention is greater than the proportional adjustment coefficient for the mean.

[0033] This application determines characteristic consumable data for each dynamic period based on historical consumable data, including: Obtain the time range of each dynamic period in the m dynamic periods before the current time, and mark the time range of the dynamic period as the target period in order from time to time. Integrate the consumable data of the target period in the time range of each historical month into a consumable data group; where m is obtained by manual setting, and is generally taken as 8. The quantities of consumables in each consumable data group are integrated into several sub-data groups according to the type of consumables. The variance of the quantity of consumables in each sub-data group is obtained sequentially, and it is determined whether the variance is less than the corresponding variance judgment threshold. If yes, the average quantity of consumables in the sub-data group is calculated to obtain the characteristic quantity. If no, the quantity with the largest absolute value of the difference from the average quantity in the sub-data group is removed, the variance of the sub-data group is recalculated, and the variance judgment is performed again until the variance of the sub-data group is less than the corresponding variance judgment threshold. Then, the average quantity of the remaining consumables in the sub-data group is calculated to obtain the characteristic quantity. The variance judgment threshold is obtained empirically.

[0034] It should be noted that consumable data for the target period within the historical monthly time ranges are integrated into a consumable data group. For example: If the target time period is from the 5th to the 10th of the current month, then the consumable data for the time period from the 5th to the 10th of each month in history will be integrated into a consumable data group; the consumable data group includes the type of consumable and the corresponding quantity.

[0035] It should be noted that if month B1 in the past cannot meet the target period, then month B1 will not be included in the calculation of the characteristic consumables data for the target period. For example, if the target period is from the 26th to the 31st of the current month, and month B1 only has 30 days, then month B1 cannot meet the target period. Therefore, the data of month B1 will not be considered when calculating the characteristic consumables data for the current target period.

[0036] It should be noted that if the target period spans two months, the dates corresponding to both months will be included in the calculation of the characteristic consumable data for the target period. For example, if this month has 31 days and the target period is from the 28th of this month to the 1st of next month, then when calculating the characteristic consumable data for the current target period, the 28th to the 31st of each historical month, as well as the 1st of the corresponding next month, will be included in the calculation of the characteristic consumable data for the target period.

[0037] It should be noted that in the process of removing the number with the largest absolute value of the difference from the average value of the number in the sub-data group, recalculating the variance of the sub-data group and re-judging the variance, the average value of the number is the average value of the number retained in the current variance judgment step.

[0038] It should be noted that when removing the number with the largest absolute difference from the average number in the sub-data group, if there is a maximum and a minimum number of the number with the largest absolute difference from the average number in the sub-data group, the minimum number will be removed first.

[0039] It should be noted that if, after removing 90% of the quantity data, the variance of the remaining quantity is still not less than the variance judgment threshold, then the average value of the original quantity of this sub-data group is used as the feature quantity.

[0040] In this application, the standard consumable data for the next dynamic period is determined based on the characteristic consumable data of the dynamic period, including: The feature counts of sub-data groups in each consumables data group are integrated into several feature count groups according to the consumable type. These feature count groups are then extracted sequentially, and the feature counts within each feature count group are marked chronologically from front to back. And based on the calculation formula (2), the average change ratio of the number of adjacent features is determined. Based on average change ratio The standard quantity of consumables corresponding to the characteristic quantity group is determined by formula (3). ;in, Let be the number of each feature in the feature quantity group, and The value range is [1, m]; The calculation formula (2) is: ; The calculation formula (3) is: ; In the formula, This is the average of the last three feature counts in the corresponding feature count group; An adjustment factor is set based on the historical number of shortages for the corresponding consumable type, and The value range is [0, 2].

[0041] It is worth noting that this invention first determines the characteristic consumable data for each dynamic period based on historical consumable data, and then determines the standard consumable data for the next dynamic period based on the characteristic consumable data for the dynamic period. This enables accurate prediction and scientific allocation of consumable demand in the operating room warehouse, significantly improving the level of intelligence in hospital consumable management.

[0042] First, the acquisition of characteristic consumable data involves merging time ranges and grouping consumable types, followed by a gradual elimination of outliers using variance thresholds. This process effectively eliminates data biases caused by occasional operations, special cases, or statistical errors, while retaining core data that reflects the true usage patterns of consumables. This results in a more representative and stable number of characteristics. This process ensures the high reliability of the data source, laying the analytical foundation for the subsequent calculation of standard consumable quantities.

[0043] Secondly, by further calculating the average change rate (TB) based on the characteristic consumable data, and incorporating historical shortage counts, the following was introduced. The adjustment coefficient can reasonably integrate trend changes and risk prevention factors in the setting of standard quantities, so that the standard consumable quantity BL not only reflects the actual usage trend, but also makes redundant configurations in advance for possible consumable shortages, thereby effectively reducing the risks caused by insufficient consumables during surgery. At the same time, calculation formulas (2) and (3) combine proportional changes with logarithmic functions to realize non-linear dynamic adjustment of consumable allocation. When the usage changes significantly, the standard quantity can be flexibly expanded, while when the changes are small, excessive reserves are avoided, thus fully balancing inventory costs and supply security.

[0044] Furthermore, the combination of these two steps not only achieves precise allocation at the level of individual consumable types but also forms a dynamic matching mechanism across the overall consumable structure. This ensures that the inventory of consumables in the warehouse remains optimal under different seasons, types of surgeries, and operating procedures by different attending physicians, reducing stockpiling, minimizing waste due to expiration, and improving the economic efficiency of procurement and warehousing. More importantly, this conversion process from characteristic data to standard data is scalable and universal. In the future, iterative optimization can be carried out with more real-time data sources to gradually form a closed-loop consumable demand forecasting model, enabling the hospital's inventory management to upgrade from experience-driven to data-driven. In summary, these two steps work synergistically in eliminating data noise, preserving usage patterns, integrating trends and risk parameters, and dynamically optimizing inventory. This significantly improves the accuracy and adaptability of consumable allocation during dynamic periods, and has outstanding beneficial effects on improving the efficiency of operating room warehouse management, ensuring the smooth conduct of clinical surgeries, and reducing operating costs.

[0045] It should be noted that when hour, The value is 0.

[0046] This application sets up a procurement list based on standard consumable data for the next dynamic time period, including: Extract the standard quantity corresponding to each type of consumable in the next dynamic period. Based on the types of consumables whose stored quantity in the inventory room is less than the standard quantity, and the difference between the standard quantity and the stored quantity of the consumables, a purchase list is established. Purchasing personnel purchase consumables according to the purchase list.

[0047] Please see Figure 2 In this application, the consumption factors for each attending physician are determined based on surgical consumption data, including: Surgeries performed by the same attending physician were divided into F surgical groups based on their type. The surgical groups were then sequentially extracted, and the quantity of consumables used in each group was further categorized into several quantity groups based on the type of consumables. The percentile of each quantity group was then used to indicate the physician's consumable consumption for that specific type of consumable. And obtain the amount of medical supplies consumed by doctors. Consumables of all attending physicians average The percentile is determined manually, and is typically set to 80% when the quantities are sorted from smallest to largest. This is the serial number of the consumable type corresponding to the current attending physician. The surgical type is indicated by a number. Based on doctors' consumption of consumables and average The consumption factor corresponding to the type of consumables used by the attending physician under the current surgical type is determined by formula (4). ; The calculation formula (4) is: ; In the formula, This is a weighting adjustment factor used to adjust the types of consumables, and The value range is [0,2], which is determined based on the cost of the consumables for each type of consumable.

[0048] It is worth noting that this invention, by determining the consumption factors of each attending physician based on surgical consumption data, enables personalized and precise analysis of surgical consumable needs, significantly improving the scientific nature of operating room inventory management and the targeted nature of resource allocation. Traditional consumable management often allocates resources based on surgical type or overall statistics, ignoring the differences in consumable usage habits that different attending physicians may exhibit in the same type of surgery. These differences may be influenced by factors such as the physician's operating style and safety margin habits, leading to consumable supply plans failing to fully match actual needs and increasing the probability of ad-hoc allocation, emergency procurement, or waste. This invention divides surgeries performed by the same attending physician into F surgical groups according to type, groups the quantity of consumables used by each group according to consumable type, and extracts percentiles as the physician's consumable consumption. This approach fully considers the higher consumption levels of a surgeon in specific surgical scenarios, making the determined consumption level more aligned with safety boundaries and reducing the risk of insufficient consumables during surgery. Simultaneously, it incorporates the average consumption (PCH) of the same consumables by all attending physicians in similar surgeries, comparing it with the consumption of an individual physician to calculate the consumption factor. Provide a benchmark reference. The nonlinear function of calculation (4) can smoothly reflect the magnitude of the difference and can also be combined with the weight adjustment coefficient. Adjusting the impact of differences in consumable costs makes individual differences more sensitive for high-cost consumables, while the differences for low-cost consumables are appropriately weakened, ensuring a balance between cost control and supply security.

[0049] This step provides more precise, personalized parameters for the delivery of consumables in the intraoperative circulation module, avoiding over- or under-dispensing of consumables due to standardized procedures. Furthermore, it establishes a set of quantifiable indicators of physician consumable usage behavior, providing data support for subsequent hospital strategies to optimize surgical consumable management, cost analysis, physician training, and behavioral improvement. In addition, the factor calculation mechanism in this step is continuously updated; as new surgical data enters the system, consumption factors automatically adjust, enabling the consumable management system to achieve adaptive optimization. This invention achieves a management upgrade from "based on surgical type" to "based on both surgical type and physician behavior patterns," making consumable prediction more aligned with real-world scenarios and significantly improving the efficiency, accuracy, and economy of the operating room consumable supply chain.

[0050] It should be noted that obtaining doctors' consumption of medical supplies... Consumables of all attending physicians average The specific steps are as follows: If the doctor consumes consumables If the corresponding surgical group is h, then retrieve the medical consumables consumption of all attending physicians in the same type of surgery corresponding to the h-th surgical group in history. Then calculate the consumption of several of the doctor's consumables. The average value is obtained from the average value. ; where h takes values ​​in the range [1, F].

[0051] It should be noted that the percentiles of the aforementioned quantity groups are marked as the corresponding doctor's consumption of consumables for each type. In this context, percentiles are determined manually. For example, if the data of a category number group is sorted from smallest to largest, and the set percentile is 80%, then the data at the 80th position of the category number group is the percentile BSi of that category number group. If there is no data at the 80th position of that category number group, then the data closest to the 80th position is taken as the percentile of that category number group.

[0052] This application determines the intraoperative consumable data for the scheduled operating room based on the attending physician's consumption factor, including: The preliminary usage of each type of consumable in the scheduled operating room for this surgery was extracted from the surgical consumable standard comparison database, and the consumption factors corresponding to the types of consumables used by the attending physician were also extracted. Multiply the initial usage of the same type of consumables by the consumption factor. Rounding the value up, we get the quantity of each type of consumable used in the scheduled surgery in the reserved operating room.

[0053] It should be noted that the surgical consumables standard comparison database is a preliminary usage of various types of consumables for various types of surgeries, set manually based on historical surgical data.

[0054] This application describes the transportation of consumables to the scheduled operating room before surgery via a consumables cart based on intraoperative consumables data, including: Y minutes before the scheduled surgery begins, the intraoperative consumables data for the scheduled operating room is transmitted to the inventory room. Consumables are then stocked on the consumables cart based on this data. After the consumables cart receives the consumables, the inventory room staff generates a data flow table based on the EPC number of the consumables. Here, Y is obtained through manual setting. The consumables cart transports consumables to the designated scheduled operating room, where staff collect the consumables after identity verification. After the surgery, staff put the unused consumables into the consumables cart, and the cart returns to the inventory room to return the consumables.

[0055] Please see Figure 3 A second aspect of the present invention provides a management system for operating room consumables, comprising: a consumables management module, and a data collection module and an intraoperative circulation module connected to the consumables management module; Data collection module: used to collect hospital consumable data, operating room surgical consumption data, and attending physicians for each scheduled operating room; among them, consumable data includes the types and quantities of consumables, and surgical consumption data includes the types and quantities of consumables used in the corresponding attending physician's surgery. Consumables Management Module: Used to plan dynamic time periods, determine characteristic consumables data for each dynamic time period based on historical consumables data, determine standard consumables data for the next dynamic time period based on the characteristic consumables data of the dynamic time period, and set up a procurement list based on the standard consumables data of the next dynamic time period; wherein, characteristic consumables data includes characteristic quantities corresponding to consumable types, and standard consumables data includes standard quantities corresponding to consumable types. Intraoperative circulation module: used to determine the consumption factors of each attending physician based on surgical consumption data, and to determine the intraoperative consumable data of the scheduled operating room based on the attending physician's consumption factors; based on the intraoperative consumable data, the consumables are transported to the scheduled operating room by consumable cart before the operation; the intraoperative consumable data includes the types and quantities of consumables used in the operation.

[0056] Some of the data in the above formula are calculated by removing dimensions and taking their numerical values. The formula is the closest to the real situation obtained by software simulation of a large amount of collected data. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through simulation of a large amount of data.

[0057] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A method for managing consumables in an operating room warehouse, characterized in that, include: Collect hospital consumables data, operating room surgical consumption data, and attending physicians for each scheduled operating room; among them, consumables data includes the types and quantities of consumables, and surgical consumption data includes the types and quantities of consumables used in the corresponding attending physician's surgery. The plan includes dynamic time periods, determining characteristic consumable data for each dynamic time period based on historical consumable data, determining standard consumable data for the next dynamic time period based on the characteristic consumable data for the dynamic time period, and setting up a procurement list based on the standard consumable data for the next dynamic time period. Among these, characteristic consumable data includes the characteristic quantity corresponding to the consumable type, and standard consumable data includes the standard quantity corresponding to the consumable type. Based on surgical consumption data, the consumption factors of each attending physician are determined, and the intraoperative consumable data for the scheduled operating room is determined based on the attending physician's consumption factors. Based on the intraoperative consumable data, the consumables are transported to the scheduled operating room via a consumable cart before the operation. The intraoperative consumable data includes the types and quantities of consumables used in the operation.

2. The method for managing consumables in an operating room warehouse according to claim 1, characterized in that, The data collected includes hospital consumables data, operating room surgical consumption data, and attending physicians for each scheduled operating room, including: The types and quantities of consumables remaining in the hospital can be identified by retrieving the types and quantities of consumables from the inventory room, returning the types and quantities of consumables, and identifying the types and quantities of original consumables. By identifying the types and quantities of consumables retrieved from the inventory room by each operating room and returning the types and quantities of consumables, the type and quantity of consumables used in the surgery performed by the corresponding attending physician in each operating room can be determined. The attending physicians for each scheduled operating room are obtained through the hospital's internal appointment database.

3. A method for managing consumables in an operating room warehouse according to claim 1, characterized in that, The planned dynamic time period includes: When the current time reaches the target time point of the current dynamic period, extract the total consumable consumption of each of the previous n dynamic periods. Based on total consumable consumption The time length of the next dynamic period is determined by formula (1). ; This will set the last time point of the current dynamic time period and the duration of the next dynamic time period. The sums are used to obtain the time range of the next dynamic period; where the target time point is a fixed proportion of the time points of each dynamic period. This refers to the numbers of the nth dynamic time period preceding the current time. The calculation formula (1) is: ； In the formula, The maximum number of days within the standard dynamic duration range. The minimum number of days for the standard dynamic duration range. This refers to the number of days corresponding to the median value of the standard dynamic duration range; This represents the average total consumption of consumables across various dynamic periods in history. To find the minimum value function, To find the maximum value function, This is the floor symbol; To obtain the mode function, To determine the percentile function; , and All are proportional adjustment coefficients, and , .

4. A method for managing consumables in an operating room warehouse according to claim 1, characterized in that, The determination of characteristic consumable data for each dynamic period based on historical consumable data includes: Obtain the time range of each dynamic period in the first m dynamic periods of the current time, mark the time range of the dynamic period as the target period in order from time to time, and integrate the consumable data of the target period in the time range of each historical month into a consumable data group. The quantities of consumables in each consumable data group are integrated into several sub-data groups according to the type of consumables. The variance of the quantity of consumables in each sub-data group is obtained in turn. It is determined whether the variance is less than the corresponding variance judgment threshold. If yes, the average quantity of consumables in the sub-data group is calculated to obtain the characteristic quantity. If no, the quantity with the largest absolute value of the difference from the average quantity in the sub-data group is removed, the variance of the sub-data group is recalculated and the variance judgment is performed again, until the variance of the sub-data group is less than the corresponding variance judgment threshold. Then, the average quantity of the remaining consumables in the sub-data group is calculated to obtain the characteristic quantity.

5. A method for managing consumables in an operating room warehouse according to claim 4, characterized in that, The determination of standard consumable data for the next dynamic period based on the characteristic consumable data of the dynamic period includes: The feature counts of sub-data groups in each consumables data group are integrated into several feature count groups according to the consumable type. These feature count groups are then extracted sequentially, and the feature counts within each feature count group are marked chronologically from front to back. And based on the calculation formula (2), the average change ratio of the number of adjacent features is determined. Based on average change ratio The standard quantity of consumables corresponding to the characteristic quantity group is determined by formula (3). ;in, Let be the number of each feature in the feature quantity group, and The value range is [1, m]; The calculation formula (2) is: ； The calculation formula (3) is: ； In the formula, This is the average of the last three feature counts in the corresponding feature count group; An adjustment factor is set based on the historical number of shortages for the corresponding consumable type, and The value range is [0, 2].

6. A method for managing consumables in an operating room warehouse according to claim 1, characterized in that, The process of setting up a procurement list based on standard consumable data for the next dynamic time period includes: Extract the standard quantity corresponding to each type of consumable in the next dynamic period. Based on the types of consumables whose stored quantity in the inventory room is less than the standard quantity, and the difference between the standard quantity and the stored quantity of the consumables, a purchase list is established. Purchasing personnel purchase consumables according to the purchase list.

7. A method for managing consumables in an operating room warehouse according to claim 1, characterized in that, The determination of consumption factors for each attending physician based on surgical consumption data includes: Surgeries performed by the same attending physician were divided into F surgical groups based on their type. The surgical groups were then sequentially extracted, and the quantity of consumables used in each group was further categorized into several quantity groups based on the type of consumables. The percentile of each quantity group was then used to indicate the physician's consumable consumption for that specific type of consumable. And obtain the amount of medical supplies consumed by doctors. Consumables of all attending physicians average ;in, This is the serial number of the consumable type corresponding to the current attending physician. The surgical type is indicated by a number. Based on doctors' consumption of consumables and average The consumption factor corresponding to the type of consumables used by the attending physician under the current surgical type is determined by formula (4). ; The calculation formula (4) is: ； In the formula, This is a weighting adjustment factor used to adjust the types of consumables, and The value range is [0,2], which is determined based on the cost of the consumables for each type of consumable.

8. A method for managing consumables in an operating room warehouse according to claim 1, characterized in that, The data on intraoperative consumables for the scheduled operating room, determined based on the attending physician's consumption factor, includes: The preliminary usage of each type of consumable in the scheduled operating room for this surgery was extracted from the surgical consumable standard comparison database, and the consumption factors corresponding to the types of consumables used by the attending physician were also extracted. Multiply the initial usage of the same type of consumables by the consumption factor. Rounding the value up, we get the quantity of each type of consumable used in the scheduled surgery in the reserved operating room.

9. A method for managing consumables in an operating room warehouse according to claim 1, characterized in that, The method of transporting consumables to the scheduled operating room before surgery via a consumables cart based on intraoperative consumables data includes: Y minutes before the scheduled surgery begins, the intraoperative consumables data for the scheduled operating room is transmitted to the inventory room. Consumables are then prepared for the consumables cart based on the intraoperative consumables data. After the consumables cart receives the consumables, the inventory room staff generates a data flow table based on the EPC number of the consumables. The consumables cart transports consumables to the designated scheduled operating room, where staff collect the consumables after identity verification. After the surgery, staff put the unused consumables into the consumables cart, and the cart returns to the inventory room to return the consumables.

10. A management system for operating room storage consumables, used to operate the management method for operating room storage consumables as described in any one of claims 1 to 9, characterized in that, include: Consumables management module, and data collection module and intraoperative circulation module connected to the consumables management module; The data collection module is used to collect hospital consumable data, operating room surgical consumption data, and attending physicians for each scheduled operating room; among which, consumable data includes the types and quantities of consumables, and surgical consumption data includes the types and quantities of consumables used in the corresponding attending physician's surgery. The consumables management module is used to plan dynamic time periods, determine the characteristic consumables data for each dynamic time period based on historical consumables data, determine the standard consumables data for the next dynamic time period based on the characteristic consumables data for the dynamic time period, and set the procurement list based on the standard consumables data for the next dynamic time period. The characteristic consumables data includes the characteristic quantity corresponding to the consumable type, and the standard consumables data includes the standard quantity corresponding to the consumable type. The intraoperative circulation module is used to determine the consumption factors of each attending physician based on surgical consumption data, and to determine the intraoperative consumable data of the scheduled operating room based on the attending physician's consumption factors; based on the intraoperative consumable data, the consumables are transported to the scheduled operating room by a consumable cart before the operation; wherein, the intraoperative consumable data includes the types and quantities of consumables used in the operation.

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