A medical instrument consumable inventory management method and system

Abstract

This invention relates to the field of medical device consumables inventory management technology, and in particular to a method and system for medical device consumables inventory management. The method includes the following steps: obtaining the exposure start time point of the component being removed from a specific storage environment; receiving a release instruction generated for the component in a medical process before the component's available time limit expires, and recording the time point at which the release instruction is received; in response to the release instruction, determining the remaining available time limit of the component based on the exposure start time point and the time point at which the release instruction is received; updating the inventory status of the component to an independent available status that includes the remaining available time limit; by obtaining the time point at which the component is removed from a specific storage environment and the time point at which the release instruction is received, and calculating and updating the independent available status of the component, the method effectively solves the problem that the prior art cannot accurately manage and reuse the inventory of independent components within a medical kit.

Description

Technical Field

[0001] This invention relates to the field of medical device consumables inventory management technology, and in particular to a method and system for medical device consumables inventory management. Background Technology

[0002] In modern medical institutions, pre-configured surgical kits are often used to manage surgical consumables to improve efficiency and standardization. However, the current inventory management model based on kits as the basic unit is inadequate when kits contain high-value components that are sensitive to environmental conditions and have strict availability limits. Once these components are removed from their specific storage environment (such as low temperature or sterility), their performance or effectiveness begins to decline irreversibly. Existing inventory systems typically mark a kit as consumed as a whole after it has been issued and opened, ignoring the independent value and different lifecycles of the individual components within the kit.

[0003] When high-value, time-sensitive components within a suite are not actually used for any reason, the system cannot track their independent status and remaining usable time, potentially leading to mishandling and wasted resources. Particularly when intraoperative clinical decisions result in the component's unuse, the existing system cannot capture the environmental exposure duration the component has already undergone in a timely and accurate manner, and calculate its remaining effective usage time based on this. This prevents the component from being separated from the original suite's accounts and managed as an independent, time-sensitive resource. Consequently, the component's status cannot be queried and matched in a timely manner across the hospital, missing opportunities for reuse and resulting in resource misallocation and waste due to a mismatch between management and value units and delayed information transmission.

[0004] To address the aforementioned issues, existing technologies urgently need improvement. Summary of the Invention

[0005] The purpose of this invention is to address the shortcomings of existing technologies by proposing a method and system for managing medical device consumables inventory.

[0006] In a first aspect, the present invention provides a method for managing the inventory of medical device consumables, for managing components within a medical kit that have a limited availability period, the availability period of which begins to decay after the component is removed from a specific storage environment, the method comprising the following steps:

[0007] Obtain the exposure start point of the component when it is removed from the specific storage environment;

[0008] Before the available time limit of the component expires, receive a release instruction generated for the component in the medical process, and record the time point at which the release instruction is received;

[0009] In response to the release command, the remaining available time of the component is determined based on the exposure start time and the time when the release command is received;

[0010] The inventory status of the component is updated to an independent availability status that includes the remaining availability period, so that it can be deployed independently of the medical kit.

[0011] The core innovation of this application lies in combining the exposure start time of a component out of a specific storage environment with the release instruction time generated in the medical process, thereby accurately calculating and determining the remaining available time of the component, and updating the inventory status of the component to an independent available state that includes the remaining available time. This achieves the effect of enabling high-value, time-sensitive components that were originally managed as suites to be identified in a timely manner, accurately assess their remaining value, and achieve independent allocation when they are not in use, effectively avoiding resource waste.

[0012] Secondly, a medical device consumables inventory management system is provided for managing components within a medical kit that have a limited availability period, the availability period decreasing after the component is removed from a specific storage environment. The system includes:

[0013] The acquisition module is used to acquire the exposure start time point of the component when it is removed from the specific storage environment;

[0014] The receiving module is configured to receive a release instruction generated for the component during the medical process before the component's available time limit expires, and to record the time point at which the release instruction is received.

[0015] A determination module is configured to, in response to the release command, determine the remaining available time of the component based on the exposure start time and the time at which the release command is received;

[0016] An update module is used to update the inventory status of the component to an independent availability status that includes the remaining availability period, so that it can be deployed independently of the medical kit.

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] By obtaining the time point when a component leaves a specific storage environment and the time point when it receives a release command, the independent availability status of the component is calculated and updated. This effectively solves the problem that existing technologies cannot accurately manage and reuse independent components within a medical kit. As a result, it has the advantage of being able to accurately manage and reuse independent components with availability time limits within a medical kit, thus avoiding resource waste. Attached Figure Description

[0019] Figure 1 This is a flowchart of the method of the present invention.

[0020] Figure 2 This is a schematic diagram of the system structure of the present invention.

[0021] In the diagram: 201, Acquisition module; 202, Receiving module; 203, Confirmation module; 204, Update module. Detailed Implementation

[0022] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0023] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0024] Traditional medical institution inventory management systems, when handling medical consumables managed as kits but containing high-value components with strict environmental exposure limits, cannot immediately identify and independently manage the special status of unused components when intraoperative clinical decisions render them unusable. This management model ignores the independent value and different lifecycles of each component within a kit. When high-value, time-sensitive core components are not actually used for any reason, the lack of system-level information leads to their incorrect disposal along with ordinary waste, resulting in economic losses and waste of medical resources. Specifically, existing systems cannot accurately track the exposure history of individual components after they leave a specific storage environment, nor can they dynamically calculate their remaining usability based on this, nor can they separate them from the original kit and manage and allocate them as an independent inventory unit.

[0025] For example, suppose a medical kit used in a specific surgery in a healthcare facility contains a critical component that is sensitive to ambient temperature. This component must be stored at a cryogenic environment, and its usability begins to decline once removed from this environment. During surgical preparation, the medical kit is removed from cryogenic storage and transported to the operating room. At this point, the exposure timer for the critical component begins. However, during the surgery, due to changes in clinical circumstances, the doctor decides not to use the critical component. After the surgery, according to existing procedures, the entire medical kit is marked as consumed, and the inventory of the kit and all its components is written off on the system's books. At this point, although the unused critical component is physically intact and still has a certain remaining usable time, it is no longer recorded in the inventory system and cannot be identified as a reusable resource. If another surgery urgently needs the same type of component, the existing system cannot provide information about the component's availability, requiring the allocation of a new kit from the total inventory, while the unused component may ultimately be discarded due to exceeding its remaining usable time.

[0026] If these issues are not addressed, healthcare institutions will continue to face the problem of wasting high-value, time-sensitive consumables. The inability to accurately manage and track the status of individual components will lead to a disconnect between inventory information and actual physical condition, causing potentially reusable resources to "disappear" from the information system and resulting in missed allocation opportunities. This will directly increase the operating costs of healthcare institutions and may impact the efficiency of medical processes in emergencies because exposed but still usable components cannot be quickly located and utilized. This management blind spot makes the refined management of environmentally sensitive, high-value consumables a significant technical challenge.

[0027] Therefore, this application is as follows Figure 1 The method shown is a medical device consumable inventory management method for managing components within a medical kit that have a limited availability period, which begins to decay after the component leaves a specific storage environment. The method includes the following steps:

[0028] S101. Obtain the start time point of exposure when the component is removed from the specific storage environment;

[0029] S102. Before the component's available time limit expires, receive the release instruction generated for the component in the medical process and record the time point when the release instruction is received.

[0030] S103. In response to the release command, determine the remaining available time of the component based on the exposure start time and the time when the release command is received;

[0031] S104. Update the inventory status of the component to an independent availability status that includes the remaining availability period, so that it can be allocated independently of the medical kit.

[0032] The exposure start time refers to the specific moment when a component is removed from its specific storage environment and begins to be exposed to environmental conditions that may reduce its usable time. This can be achieved by automatically recording the system time when scanning the component's identification code, for example, scanning when the component is removed from a dedicated refrigerated cabinet. This is primarily used to determine the starting point of the component's environmental exposure. The release command is an instruction issued during the medical procedure for a specific component, indicating that the component may no longer be needed as part of the original medical kit. This can be achieved by medical staff inputting information into the surgical information system, for example, marking the system when it is decided not to use a component in the kit during surgery. This is primarily used to trigger a reassessment and management of the component's status. The remaining usable time refers to the remaining time a component can retain after receiving a release command, based on its existing usage. The remaining time for which a component retains its expected functionality and performance after environmental exposure can be calculated using exposure duration and decay models. For example, the equivalent exposure time can be calculated based on component type and exposure environment and deducted from the initial available time limit. This is mainly used to accurately characterize the current actual availability status of a component. Independent availability status refers to the update of a component's inventory information so that it is no longer managed merely as part of the original medical kit, but as an independent inventory unit with a clearly defined remaining available time limit. This can be achieved by creating a new record for the component in the inventory management system that includes the remaining available time limit attribute. For example, creating an independent inventory entry for an unused bioprosthetic valve and displaying its remaining effective time is mainly used to enable the component to be queried, allocated, and reused independently of the original kit.

[0033] This application's solution establishes a starting point record of a component's environmental exposure history by obtaining the exposure start time point when the component is removed from a specific storage environment. Before the component's available time limit expires, the system receives a release instruction generated for the component in the medical process and records the specific time point when the instruction is received. It is precisely because the instruction is received before the available time limit expires that the component, after subsequent processing, still has reuse value. In response to the received release instruction, the system calculates the actual exposure time of the component from the time it was removed from the specific storage environment until the instruction was received, based on the previously recorded exposure start time point and the time point when the release instruction was received, and determines the component's remaining available time limit accordingly. Subsequently, the system updates the component's inventory status, making it no longer merely attached to the original medical kit, but an independent inventory unit containing its precise remaining available time limit. This independent availability status allows the component to be independently queried, tracked, and allocated throughout the entire inventory system, thereby seizing fleeting reuse opportunities.

[0034] As a specific implementation method, a bioprosthetic valve included in a medical kit is used as an example. When the nurse retrieves the medical kit containing the bioprosthetic valve from a dedicated refrigerated cabinet, the system automatically records this moment as the valve's exposure start time by scanning the kit's or valve's identification code. This valve has a room temperature availability period of, for example, 4 hours. If, during the procedure, the surgeon decides not to use the valve, the nurse marks it as "unused" in the surgical information system. The system receives this mark as a release instruction and records the time the instruction is received. The system then calculates the time difference between the exposure start time and the time the release instruction is received, for example, 3 hours. Based on the initial 4-hour availability period and the 3 hours already exposed, the system determines the valve's remaining availability period to be 1 hour. The system then updates the valve's inventory status, removing it from the original kit's inventory as an independent inventory item with the status "Independently Available, 1 Hour Remaining Availability." This independent status allows other surgeries requiring this type of valve and expected to complete the implantation process within 1 hour to search the inventory system and request the valve's allocation.

[0035] The above technical solution enables precise tracking of the environmental exposure history of independent components with limited availability within medical kits, and timely capture of their unused information during the medical process. Based on the accurately calculated remaining availability, the component can be separated from the original kit and updated to an independently available inventory status, allowing this high-value component to be independently identified and allocated within the inventory system. This effectively solves the resource waste problem caused by the loss of information on unused, time-limited components and their inability to be reused under the existing kit-based management model, thus improving the utilization efficiency of medical consumables.

[0036] As one embodiment of the present invention, the step of receiving a release command generated for the component during a medical procedure and recording the time point at which the release command is received before the component's available time limit expires includes:

[0037] Based on the preset association rules representing the functional dependencies between the dominant and subordinate components within the medical kit, a release instruction received in the medical process for the dominant component will be identified as the first release instruction, and the time point when the first release instruction is received will be recorded.

[0038] In response to the recognition of the first release command, a second release command for the subordinate component is generated.

[0039] The record of the second release instruction is associated with the record of the first release instruction to reflect the functional dependency of the subordinate component on the master component in inventory status changes.

[0040] Among them, the preset association rules representing the functional dependencies between the dominant and subordinate components within the medical suite refer to predefined logical or data structures that describe the functional interdependencies between different components in the medical suite. These can be implemented using association tables in a database, mapping lists in configuration files, or logical judgment rules in software code. Their purpose is to provide a basis for the system to identify and process dependencies between components. The first release instruction refers to a release operation instruction received by the system during the medical process, specifically targeting the dominant component within the medical suite. This can be implemented using data messages generated by the system when scanning the dominant component's identifier code or operation records for the dominant component on the user interface. Its purpose is to mark that the dominant component has entered the usage process. The second release instruction refers to a release operation instruction received by the system when it identifies the dominant component... Following the first release instruction of a component, simulated release operation instructions are automatically generated for subordinate components with which it has a functional dependency, based on preset association rules. These instructions can be implemented using data records or messages generated internally by the system. The purpose is to ensure that the status of subordinate components is updated synchronously with that of the master component. Associating the record of the second release instruction with the record of the first release instruction means establishing a logical connection between the data records of the first and second release instructions in the inventory management system to reflect their triggering and dependency relationships. This can be achieved by setting foreign keys in database records, using unique transaction IDs, or through associated data structures. The purpose is to enhance the traceability of inventory status changes and clarify that the reason for the status change of a subordinate component is that the master component it depends on has been released.

[0041] This application's solution introduces association rules based on functional dependencies between components, enabling the system to identify the inherent relationships between dominant and subordinate components in a medical kit. When a release command for the dominant component is received and identified as the first release command, the system no longer processes this single command but automatically triggers the generation of a second release command for the related subordinate component based on preset association rules. Subsequently, the system stores the records of these two types of commands in association. Due to this dependency-based command identification, triggering, and association mechanism, the system can simultaneously reflect the release status of both the dominant and subordinate components when updating inventory status, even if the subordinate component itself is not directly manipulated. This allows inventory information to more accurately reflect the true availability of components within the medical kit, especially for consumables that functionally depend on other components. This approach, combined with the basic solution's processing of only single-component commands, allows for more refined tracking of time-sensitive components, whether they exist independently or as part of a medical kit, and considers the functional relationships between components, thereby managing inventory more accurately and avoiding resource waste caused by information lag or inaccuracy.

[0042] As one embodiment of the present invention, in response to a release command, the step of determining the remaining available time of a component based on the exposure start time and the time of receiving the release command includes:

[0043] Obtain the association rules for the influence of preset characterization environment physical parameters on the decay rate of component usability;

[0044] Get the physical parameter values ​​of the environment in which the component is located from the time it leaves the specific storage environment until it receives the release command;

[0045] The actual exposure time of the component is calculated based on the exposure start time and the time when the release command is received;

[0046] Based on association rules and environmental physical parameter values, the actual exposure duration is converted into an equivalent exposure duration;

[0047] The remaining usable time of the component is determined based on the equivalent exposure duration.

[0048] Among them, association rules refer to pre-established relationships describing how specific environmental physical parameters (such as temperature, humidity, and light) affect the rate of degradation of the available life of a component. Specifically, these can be mathematical models, lookup tables, or rule sets established through experimental testing, accelerated aging studies, or data analysis provided by the manufacturer. Their purpose is to quantify the relative rate of component performance degradation under different environmental conditions. Environmental physical parameter values ​​refer to the quantitative data of environmental conditions experienced by the component during actual exposure. Specifically, these can be temperature, humidity, and other numerical records obtained from real-time monitoring by sensors or from environmental monitoring systems. Their purpose is to provide actual input for assessing environmental impact. Equivalent exposure time refers to the exposure time of the component in the actual environment, corrected for the impact of the environmental conditions on the rate of degradation of the available life, and is equivalent to the exposure time under standard conditions. Specifically, this can be achieved by dividing the actual exposure time into time periods, calculating the equivalent degradation amount within each time period based on the environmental physical parameter values ​​and their corresponding association rules, and then summing the equivalent degradation amounts of all time periods to obtain the total equivalent exposure time. The purpose is to unify the exposure time under different environments under a standardized metric to more accurately assess the total degradation degree of the component.

[0049] This application's solution determines the remaining usable time of a component by introducing the impact of environmental physical parameters on the decay rate of the component's usable lifespan and converting the actual exposure time into an equivalent exposure time based on preset association rules. Specifically, firstly, association rules describing how environmental physical parameters affect the decay rate are obtained; these rules form the basis for assessing environmental impact. Simultaneously, the environmental physical parameter values ​​of the component during the actual exposure period are obtained; these values ​​reflect the actual environmental conditions experienced by the component. Based on the time point when the component leaves the specific storage environment and the time point when the release command is received, the actual exposure time of the component is calculated; this is the physical time length for the component to leave the controlled environment. The key is to use the obtained association rules and environmental physical parameter values ​​to correct the actual exposure time, converting it into an equivalent exposure time. For example, if the component's decay rate may be faster under high temperature and high humidity conditions than under standard conditions, then 1 hour of actual exposure may be equivalent to 1.5 hours of exposure under standard conditions. Conversely, if the decay rate may be slower under low temperature and dry conditions, 1 hour of actual exposure may be equivalent to 0.8 hours of exposure under standard conditions. Finally, based on the calculated equivalent exposure time, this equivalent exposure time is subtracted from the total equivalent available time of the component to determine the remaining equivalent available time of the component. This method takes into account the accelerating or decelerating effects of environmental factors on component degradation, making the assessment of the remaining available time more closely reflect the actual state of the component.

[0050] As one embodiment of the present invention, the step of obtaining the association rule of the preset characterizing environmental physical parameters on the decay rate of the component's usable time includes:

[0051] Obtain historical data records of a reference component of the same type as the component. The reference component has ended its usage period. The historical data records characterize the actual decay process of the reference component in a real environment.

[0052] Based on historical data records and preset association rules, determine the deviation of the preset association rules;

[0053] The preset association rules are corrected based on the deviation to generate corrected association rules, and the corrected association rules are used as the obtained association rules.

[0054] The historical data records of the reference component refer to the records of environmental physical parameters (such as temperature, humidity, and light) experienced by components of the same model or batch as the component under evaluation during actual use or storage, as well as the final actual usable lifespan or degree of degradation of the component. These records are derived from reference components that have completed their life cycle, and their purpose is to provide degradation data under real-world conditions. The preset association rules refer to the mathematical models or lookup tables that are initially established before the historical data of the reference component is introduced to describe how specific environmental physical parameters (or combinations thereof) affect the degradation rate of the component's usable lifespan. They can be based on theoretical derivation, laboratory accelerated aging test data, or expert experience, and their purpose is to preliminarily quantify the impact of environmental parameters on the degradation rate. The deviation refers to the degree of difference between the preset association rules and the actual situation, quantified by comparing the actual degradation process of the reference component in a real environment (reflected by historical data records) with the degradation process predicted based on the preset association rules. The deviation can be a single numerical value, a function, a vector, or an error distribution model. It characterizes the degree to which the preset rules deviate from the actual situation under different environmental conditions, aiming to quantify the shortcomings of the preset rules. Correction refers to adjusting or optimizing the preset association rules based on the determined deviation to reduce the difference between them and the actual decay process. Correction can be achieved by adjusting the parameters in the preset rules, modifying the functional form of the rules, establishing a deviation compensation model, or updating the lookup table, with the aim of improving the accuracy of the association rules.

[0055] This application's solution acquires historical data records from a reference component of the same type as the component itself. These records characterize the actual degradation process of the reference component in a real-world environment. By introducing degradation data from a real-world environment, it can more accurately reflect the actual situation and avoid errors caused by idealized models. Based on these historical data records and preset association rules, the deviation of the preset association rules can be determined. By comparing the actual degradation data with the prediction results of the preset rules, the degree of deviation of the rules can be quantified, providing a basis for subsequent corrections. Considering the deviation in the preset association rules, the preset association rules are corrected according to the determined deviation to generate corrected association rules, which are then used as the acquired association rules. It is precisely because of this correction that the association rules are closer to reality, improving prediction accuracy and thus more accurately assessing the remaining usable time of the component. This corrected association rule can more reliably reflect the actual impact of environmental physical parameters on the degradation rate of the component's usable time.

[0056] As one embodiment of the present invention, the step of determining the deviation of the preset association rule based on historical data records and preset association rules includes:

[0057] The range of values ​​for environmental physical parameters is divided into multiple parameter intervals;

[0058] Based on the environmental physical parameter values ​​recorded in the historical data records, the data segments in the historical data records are assigned to their corresponding parameter ranges;

[0059] For each parameter interval, based on the data segment allocated to that parameter interval and the preset association rules, the interval deviation corresponding to that parameter interval is determined;

[0060] The interval deviations corresponding to all parameter intervals are collectively determined as the deviations of the preset association rule.

[0061] The division of environmental physical parameters into multiple parameter intervals refers to dividing the possible numerical range of environmental physical parameters into several continuous or discrete sub-ranges. This can be achieved through equal-interval division, non-equal-interval division based on data distribution, or division based on expert experience. The purpose is to decompose the complex parameter space for segmented analysis. The data segments in historical data records refer to a set of data associated with a specific time period or environmental conditions. These segments may contain information such as environmental physical parameter values ​​and the actual attenuation of components, providing a data foundation for analysis. Assigning data segments from historical data records to their corresponding parameter intervals refers to assigning them to the environmental physical parameter values ​​recorded in the historical data records. The purpose of classifying the data segment into a parameter interval containing the parameter value is to establish a correlation between historical data and the parameter interval. The interval deviation refers to the difference between the attenuation predicted by the preset association rule and the actual attenuation reflected in historical data records within a specific parameter interval. Its purpose is to quantify the accuracy of the preset rule within a specific parameter interval. Furthermore, determining the interval deviation of all parameter intervals as the deviation of the preset association rule involves comprehensively processing the interval deviations calculated from each parameter interval to obtain an overall deviation value. This can be achieved by averaging, weighted averaging, or aggregation calculation based on a specific model. The purpose is to obtain a global deviation value used to correct the preset association rule.

[0062] This application's solution achieves a structured decomposition of a complex parameter space by dividing the range of environmental physical parameters into multiple parameter intervals. Based on the environmental physical parameter values ​​recorded in historical data records, data segments from these records are assigned to their corresponding parameter intervals, ensuring that the analysis of each parameter interval is based on relevant real data. For each parameter interval, based on the data segments assigned to that interval and the preset association rules, the interval deviation corresponding to that interval is determined. This allows for a precise evaluation of the performance of the preset rules across different parameter value ranges. The interval deviations corresponding to all parameter intervals are collectively determined as the deviation of the preset association rules. By synthesizing the analysis results of each interval, a more comprehensive and accurate overall deviation is obtained. This segmented analysis and synthesis method based on parameter intervals overcomes the inaccuracy that may result from simply comparing all historical data, enabling the determined deviation to more realistically reflect the impact of environmental physical parameters on the component's usable lifespan decay rate under different conditions. The deviation determined in this way is used to correct the preset association rule, so that the corrected association rule can more accurately characterize the impact of environmental physical parameters on the component decay rate, thereby improving the accuracy of subsequent calculation of the remaining usable time of the component based on the association rule and improving the reliability of the entire inventory management method.

[0063] As one embodiment of the present invention, for each parameter interval, the step of determining the interval deviation corresponding to that parameter interval based on the data segment allocated to that parameter interval and the preset association rule includes:

[0064] Divide the parameter interval into multiple sub-intervals;

[0065] For a subinterval containing a data segment, the local deviation corresponding to the subinterval is determined based on the data segment and the preset association rules.

[0066] Based on the local deviation and the corresponding environmental physical parameter values ​​of the sub-interval, establish the correspondence between the local deviation and the environmental physical parameters within the parameter interval;

[0067] Based on the correspondence, the interval deviation corresponding to the parameter interval is calculated.

[0068] Among them, the local deviation refers to the deviation value calculated based on actual data and preset rules within a smaller sub-interval of the parameter interval. It can be achieved by calculating the average deviation of all data segments within the sub-interval, with the aim of obtaining more granular deviation information. The correspondence refers to a certain correlation pattern between the local deviation and the environmental physical parameter values ​​within the parameter interval. It can be achieved using functions, curves, or sets of discrete points, with the aim of revealing the inherent law between parameter changes and deviation. The interval deviation refers to the comprehensive deviation value representing the impact of environmental physical parameters on the decay of available time within the entire parameter interval. It can be obtained by summarizing or fitting the local deviation information of sub-intervals, with the aim of providing a deviation value representing the entire parameter interval.

[0069] This application's solution further divides the parameter range into multiple sub-ranges and calculates local deviations within the sub-ranges containing data segments, obtaining more refined deviation information than a single interval deviation. Based on these local deviations and their corresponding environmental physical parameter values, a correspondence between the local deviations and the environmental physical parameters within the parameter range is established. This reveals the deviation pattern of the impact of environmental physical parameters changing within the parameter range on the decay rate of available time. Finally, the interval deviation corresponding to the parameter range is calculated based on the established correspondence. This method, building upon the above embodiment which divides the range of environmental physical parameter values ​​into multiple parameter ranges and allocates data segments, further refines the process of determining the deviation within each parameter range. By capturing the changing trends within the parameter range, rather than simply using a single value to represent the entire range, the determined interval deviation can more accurately reflect the true impact of environmental physical parameters on the decay rate of component available time within that range. This provides a more precise basis for subsequently revising the preset association rules, thereby improving the accuracy of the revised association rules and ultimately making the remaining available time of the component determined based on these association rules more reliable.

[0070] As one embodiment of the present invention, the step of establishing the correspondence between local deviation and environmental physical parameters within a parameter interval based on the environmental physical parameter values ​​corresponding to the local deviation and sub-interval includes:

[0071] Obtain the local deviation and the corresponding environmental physical parameter values ​​for the sub-intervals;

[0072] Analyze the changing trend between local deviation and environmental physical parameter values;

[0073] Based on the changing trend, a correspondence between local deviation and environmental physical parameters within the parameter range is constructed.

[0074] Among them, the local deviation refers to the deviation value calculated based on the data segment within a sub-interval and the preset association rule within that sub-interval, reflecting the difference between the actual performance and the predicted value of the preset association rule within that sub-interval; the environmental physical parameter value corresponding to the sub-interval refers to the value used to characterize the level of the environmental physical parameter within that sub-interval, which can be represented by the average, median, or a representative sample value of the environmental physical parameter within that sub-interval; the trend of change refers to the regularity of the local deviation as the environmental physical parameter value changes, which can be linear, nonlinear, monotonically increasing, monotonically decreasing, or more complex; the correspondence refers to the established mathematical model or lookup table that can describe the interdependence or influence between the local deviation and the environmental physical parameter value, which can be represented by function expressions, graphs, or discrete data point sets.

[0075] This application's solution provides a data foundation for subsequent analysis by acquiring the local deviations determined for each sub-interval in a prior step, along with the corresponding environmental physical parameter values ​​for these sub-intervals. Next, these data are analyzed in depth to explore how the local deviations change with the environmental physical parameter values, identifying the inherent patterns or trends between the two. Based on this precise understanding of the relationship between actual attenuation data (reflected by local deviations) and environmental factors (reflected by environmental physical parameter values), this application can construct a correspondence that accurately reflects the interaction between local deviations and environmental physical parameters throughout the entire parameter interval, based on the analyzed trends. This correspondence is no longer a simple discrete data point, but a continuous or structured model that can more precisely describe the influence of environmental physical parameters at different value levels on the component's attenuation deviation. By establishing such a correspondence, a solid and refined foundation is provided for subsequently calculating the interval deviation corresponding to the parameter interval based on this correspondence. This allows the finally determined interval deviation to more accurately reflect the comprehensive impact of environmental physical parameters on the component's usable time attenuation rate within that parameter interval, thereby improving the accuracy of the association rule correction and ultimately enhancing the precision of determining the component's remaining usable time.

[0076] As one embodiment of the present invention, the step of calculating the interval deviation corresponding to the parameter interval based on the correspondence includes:

[0077] Based on the correspondence, the deviation of environmental physical parameters at multiple preset value points within the parameter range is obtained;

[0078] Based on the distribution of the deviations corresponding to multiple preset value points within the parameter range, determine the representative value of the deviation within the parameter range;

[0079] The representative value is used as the interval deviation corresponding to the parameter interval.

[0080] Among them, the correspondence refers to the function or mapping relationship established between the local deviation and the environmental physical parameter value, which can be realized by statistical regression and other methods; the preset value point refers to a series of environmental physical parameter values ​​that are predetermined within the parameter range, which can be uniformly or non-uniformly distributed within the parameter range as needed; the deviation refers to the difference between the preset association rule and the actual attenuation process under a specific environmental physical parameter value; the distribution refers to the dispersion, concentration or change trend of the deviation corresponding to multiple preset value points in terms of values; the representative value refers to a value that can reflect the overall deviation level within the parameter range, which can be determined by statistical measures such as the mean, median, and weighted average.

[0081] This application's solution obtains the deviation of environmental physical parameters at multiple preset points within a parameter range by establishing a correspondence between local deviations and environmental physical parameter values. This allows for multi-point sampling within the parameter range, more comprehensively capturing the variation of deviations with environmental physical parameters. Next, based on the distribution of these deviations at multiple preset points within the parameter range, a representative value is determined to represent the deviation level of the entire parameter range. Finally, this representative value is used as the interval deviation for the parameter range. This method of determining a representative value through multi-point sampling and distribution analysis, compared to calculating the deviation at a single environmental physical parameter value based solely on the correspondence, more accurately reflects the deviation level within the entire parameter range, effectively avoiding the influence of local errors or outliers that may arise from single-point calculations. This makes the calculated interval deviation more robust and representative, providing a more reliable basis for subsequent correction of preset association rules. The interval deviation calculated in this way can more accurately reflect the actual impact of environmental physical parameters on the component's usable time decay rate within the parameter range, thereby improving the accuracy of the corrected association rules.

[0082] As one embodiment of the present invention, the step of analyzing the changing trend between local deviation and environmental physical parameter values ​​includes:

[0083] Statistical regression analysis was performed on the local deviation and the environmental physical parameter values ​​to obtain a functional relationship characterizing the variation law between the local deviation and the environmental physical parameter values.

[0084] Statistical regression is a statistical method that studies the relationships between variables by establishing mathematical models. It can be implemented using various specific algorithms such as linear regression, multinomial regression, and nonlinear regression. Its purpose is to extract a universally meaningful and continuous functional relationship from discrete observation data. The functional relationship is a mathematical expression that describes how one or more independent variables (environmental physical parameter values) determine the value of the dependent variable (local deviation). It can be represented by various forms such as linear functions, multinomial functions, and exponential functions. Its purpose is to express the changing law between local deviation and environmental physical parameter values ​​in a precise and calculable way.

[0085] The proposed solution employs statistical regression processing between local deviations and environmental physical parameter values. This allows for the fitting of a functional model from observed discrete data points that reflects the overall trend and inherent laws governing both. This statistical regression method effectively filters out random noise in the data, capturing the more fundamental correlation between variables. Because of this functional relationship characterizing the changing patterns, the local deviation corresponding to any environmental physical parameter value can be predicted or calculated based on this model across the entire parameter range, thus establishing a precise correspondence between local deviations and environmental physical parameters within the parameter range. This precise correspondence, compared to merely analyzing the changing trends of discrete data points, provides a more stable and reliable basis for deviation assessment, thereby improving the accuracy of revising correlation rules based on environmental physical parameters and ultimately making the calculation of the remaining usable time of components more accurate. This approach, combined with the basic approach of obtaining local deviations and environmental physical parameter values ​​and conducting preliminary analysis of changing trends, overcomes the limitations of simple trend analysis by introducing statistical regression, a more advanced data analysis method. It achieves a leap from discrete data to continuous, accurate function models, thereby significantly improving the accuracy of deviation assessment and remaining available time calculation.

[0086] like Figure 2 The illustrated medical device consumables inventory management system is used to manage components within a medical kit that have a limited availability period, which begins to decay after the component leaves a specific storage environment. The system includes:

[0087] Module 201 is used to obtain the exposure start time point of a component when it is removed from a specific storage environment;

[0088] The receiving module 202 is used to receive a release instruction generated for the component in the medical process before the component's available time limit expires, and to record the time point when the release instruction is received.

[0089] The determination module 203 is used to determine the remaining available time of the component in response to the release command, based on the exposure start time and the time when the release command is received;

[0090] Update module 204 is used to update the inventory status of components to an independent availability status that includes the remaining availability period, so that they can be deployed independently of medical kits.

[0091] The solution presented in this application forms a complete system by setting up an acquisition module 201, a receiving module 202, a determination module 203, and an update module 204. The acquisition module 201 is responsible for capturing the starting point information of component exposure, which is the basis for all subsequent calculations. The receiving module 202 monitors release commands generated during the medical process in real time and accurately records the time when a command is received, indicating that the component's state needs to be reassessed. After receiving this key time information, the determination module 203 calculates the remaining available time limit of the component in its current state according to preset logic or algorithms. Finally, the update module 204 integrates this dynamically changing remaining available time limit information into the component's inventory record, marking it as an independent available state. Due to this modular design and information flow mechanism, the system can automatically and in real-time track and manage time-sensitive components, eliminating the reliance on manual operation and information lag problems of traditional methods. By transforming method steps into system functions, the system solution presented in this application provides an efficient and reliable execution platform for medical device consumable inventory management methods, enabling the method to be truly implemented and solve management problems in practical applications.

[0092] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention.

Claims

1. A method for managing medical device consumable inventory, used to manage components within a medical kit that have a limited availability period, wherein the availability period begins to decrease after the component is removed from a specific storage environment, characterized in that, The method includes the following steps: Obtain the exposure start point of the component when it is removed from the specific storage environment; Before the available time limit of the component expires, receive a release instruction generated for the component in the medical process, and record the time point at which the release instruction is received; In response to the release command, the remaining available time of the component is determined based on the exposure start time and the time when the release command is received; The inventory status of the component is updated to an independent availability status that includes the remaining availability period, so that it can be deployed independently of the medical kit; The step of determining the remaining availability time of the component in response to the release command, based on the exposure start time and the time of receiving the release command, includes: Obtain the association rules for the influence of preset characterizing environmental physical parameters on the decay rate of the available time of the component; Obtain the environmental physical parameter values ​​of the component during the period from when it leaves the specific storage environment until the release command is received; The actual exposure duration of the component is calculated based on the exposure start time and the time when the release command is received. Based on the association rules and the environmental physical parameter values, the actual exposure time is converted into an equivalent exposure time; Based on the equivalent exposure duration, determine the remaining available time of the component; The step of obtaining the association rule for the influence of preset characterizing environmental physical parameters on the decay rate of the component's usable time includes: Acquire historical data records of a reference component of the same type as the component, wherein the reference component has ended its usage period, and the historical data records characterize the actual attenuation process of the reference component in a real environment; Based on the historical data records and the preset association rules, the deviation of the preset association rules is determined; The preset association rules are corrected based on the deviation to generate corrected association rules, and the corrected association rules are used as the acquired association rules. The step of receiving a release command generated for the component during the medical process before the component's available time expires, and recording the time point at which the release command is received, includes: Based on a preset association rule that characterizes the functional dependency between the dominant component and the subordinate components in the medical kit, a release instruction received in the medical process for the dominant component will be identified as a first release instruction, and the time point when the first release instruction is received will be recorded. In response to recognizing the first release command, a second release command for the subordinate component is generated. The record of the second release instruction is associated with the record of the first release instruction to reflect the functional dependency of the subordinate component on the master component in inventory status changes.

2. The method for managing medical device consumables inventory according to claim 1, characterized in that, The step of determining the deviation of the preset association rule based on the historical data records and the preset association rule includes: The range of values ​​for the environmental physical parameters is divided into multiple parameter intervals; Based on the environmental physical parameter values ​​recorded in the historical data records, the data segments in the historical data records are assigned to their corresponding parameter ranges; For each parameter interval, based on the data segment allocated to that parameter interval and the preset association rules, the interval deviation corresponding to that parameter interval is determined; The deviation values ​​of all parameter intervals are collectively determined as the deviation values ​​of the preset association rule.

3. The method for managing medical device consumables inventory according to claim 2, characterized in that, The step of determining the interval deviation corresponding to each parameter interval based on the data segment assigned to that parameter interval and the preset association rules includes: Divide the parameter interval into multiple sub-intervals; For a subinterval containing the data segment, the local deviation corresponding to the subinterval is determined based on the data segment and the preset association rule; Based on the local deviation and the corresponding environmental physical parameter values ​​of the sub-interval, a correspondence between the local deviation and the environmental physical parameters within the parameter interval is established. Based on the correspondence, the interval deviation corresponding to the parameter interval is calculated.

4. The method for managing medical device consumables inventory according to claim 3, characterized in that, The step of establishing the correspondence between the local deviation and the environmental physical parameter values ​​corresponding to the sub-interval within the parameter interval includes: Obtain the local deviation amount and the corresponding environmental physical parameter values ​​of the sub-interval; Analyze the changing trend between the local deviation and the environmental physical parameter values; Based on the aforementioned trend, a correspondence is established between the local deviation and the environmental physical parameters within the specified parameter range.

5. The method for managing medical device consumables inventory according to claim 3, characterized in that, The step of calculating the interval deviation corresponding to the parameter interval based on the correspondence includes: Based on the correspondence, the deviation of the environmental physical parameters at multiple preset value points within the parameter range is obtained; Based on the distribution of the deviations corresponding to the multiple preset value points within the parameter interval, a representative value of the deviation within the parameter interval is determined. The representative value is used as the interval deviation corresponding to the parameter interval.

6. The method for managing medical device consumables inventory according to claim 4, characterized in that, The steps for analyzing the changing trend between the local deviation and the environmental physical parameter values ​​include: Statistical regression processing is performed on the local deviation and the environmental physical parameter values ​​to obtain a functional relationship characterizing the variation law between the local deviation and the environmental physical parameter values.

7. A medical device consumables inventory management system for managing components within a medical kit that have a limited availability period, the availability period decreasing after the component leaves a specific storage environment, for executing a medical device consumables inventory management method as described in any one of claims 1-6, characterized in that, The system includes: The acquisition module is used to acquire the exposure start time point of the component when it is removed from the specific storage environment; The receiving module is configured to receive a release instruction generated for the component during the medical process before the component's available time limit expires, and to record the time point at which the release instruction is received. A determination module is configured to, in response to the release command, determine the remaining available time of the component based on the exposure start time and the time at which the release command is received; An update module is used to update the inventory status of the component to an independent availability status that includes the remaining availability period, so that it can be deployed independently of the medical kit.

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