Medical instrument consumable inventory management method and system

Abstract

The invention relates to the technical field of medical instrument consumable inventory management, in particular to a medical instrument consumable inventory management method and system, and the method comprises the following steps: obtaining an exposure starting time point when a component is separated from a specific storage environment; before the available time limit of the component is used up, receiving a release instruction generated for the component in the medical process, and recording a time point when the release instruction is received; in response to the release instruction, determining the remaining available time limit of the component based on the exposure starting time point and the time point when the release instruction is received; updating the inventory state of the component into an independent available state containing the residual available time limit; the independent available state of the component is calculated and updated by acquiring the time point when the component is separated from the specific storage environment and the time point when the release instruction is received, so that the problem that the independent component in the medical kit cannot be subjected to accurate inventory management and reutilization in the prior art is effectively solved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical device consumables inventory management, and in particular to a medical device consumables inventory management method and system. Background Art

[0002] In modern medical institutions, preconfigured surgical kits are often used to manage surgical consumables to improve efficiency and standardization. However, when kits contain high-value components that are environmentally sensitive and have strict availability limits, the current inventory management model based on kits is insufficient. Once these components are removed from their specific storage environments (such as low temperature and sterility), their performance or effectiveness begins to irreversibly degrade. Existing inventory systems typically mark the entire kit as consumed after it is received and opened, ignoring the independent value and different lifecycles of each component within the kit.

[0003] When a high-value, time-sensitive component in a kit is not actually used for some reason, the system cannot track its independent status and remaining available time limit, which may cause it to be mishandled and result in resource waste. In particular, when intraoperative clinical decisions result in the component not being used, the existing system is unable to instantly and accurately capture the environmental exposure time that the independent component has experienced and calculate its remaining effective usage time limit based on this. This makes it impossible to separate the component from the original kit's accounts and manage it as an independent available resource with a clear time limit. Therefore, the status of the component cannot be queried and matched immediately across the hospital, missing the opportunity for reuse, resulting in resource mismatch and waste due to the mismatch between management units and value units and delayed information transmission.

[0004] In view of the above problems, the existing technology is in urgent need of improvement. Summary of the Invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a medical device consumables inventory management method and system.

[0006] In a first aspect, the present invention provides a method for managing inventory of medical device consumables, for managing components within a medical kit that have a usable lifespan, wherein the usable lifespan begins to decay after the components are removed from a specific storage environment. The method comprises the following steps: Obtaining a starting time point of exposure of the component from a specific storage environment; Before the available time limit of the component is exhausted, receiving a release instruction generated for the component during the medical procedure, and recording a time point when the release instruction is received; In response to the release instruction, determining a remaining available time limit of the component based on the exposure start time point and the time point of receiving the release instruction; The inventory status of the component is updated to an independent available status including the remaining available time limit, so as to be allocated independently of the medical kit.

[0007] The core innovation of this application lies in that by combining the starting time point of the component's exposure to a specific storage environment with the time point of the release instruction generated in the medical process, the remaining available time limit of the component can be accurately calculated and determined, and the inventory status of the component can be updated to an independent available state that includes the remaining available time limit. This achieves the effect of enabling high-value, time-sensitive components that were originally managed as kits to be promptly identified, their remaining value accurately assessed, and independently allocated when not in use, effectively avoiding waste of resources.

[0008] In a second aspect, a medical device consumables inventory management system is provided for managing components within a medical kit that have a usable time limit, wherein the usable time limit begins to decay after the components are removed from a specific storage environment. The system comprises: An acquisition module, configured to acquire a starting time point of exposure of the component from a specific storage environment; a receiving module, configured to receive a release instruction generated for the component during a medical procedure before the available time limit of the component is exhausted, and record a time point at which the release instruction is received; a determination module, configured to determine, in response to the release instruction, a remaining available time limit of the component based on the exposure start time point and the time point of receiving the release instruction; An updating module is used to update the inventory status of the component to an independent available status including the remaining available time limit, so as to be allocated independently of the medical kit.

[0009] Compared with the prior art, the present invention has the following beneficial effects: By obtaining the time point when the component leaves the specific storage environment and the time point when the release instruction is received, the independent availability status of the component is calculated and updated, which effectively solves the problem that the existing technology cannot accurately manage the inventory and reuse of independent components in the medical kit. It has the advantage of being able to accurately manage the inventory and reuse independent components with availability time limits in the medical kit, avoiding waste of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 Flow chart of the method of the present invention.

[0011] Figure 2 Schematic diagram of the system structure of the present invention.

[0012] In the figure: 201, acquisition module; 202, receiving module; 203, determination module; 204, update module. DETAILED DESCRIPTION

[0013] The 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 throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and are not to be construed as limiting the present invention.

[0014] 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 the technical features being referred to. Thus, a feature specified as "first" or "second" may explicitly or implicitly include one or more of the specified features. In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.

[0015] When traditional existing medical institution inventory management systems deal with medical consumables that are uniformly managed in the form of kits but contain high-value components with strict environmental exposure time limits, when intraoperative clinical decisions result in the high-value component no longer being used, the existing management method of inventory write-offs based on kits is unable to immediately identify and independently manage the special status of this unused component. This management model ignores the independent value and different life cycles of each component in the kit. When a high-value, time-sensitive core component is not actually used for some reason, the lack of system-level information will cause it to be mistakenly disposed of with ordinary waste, resulting in economic losses and waste of medical resources. Specifically, the existing system cannot accurately track the exposure history of a single component after it leaves a specific storage environment, nor can it dynamically calculate its remaining available time limit based on this, let alone separate it from the original kit and manage and allocate it as an inventory unit with an independent status.

[0016] For example, consider a healthcare facility where a medical kit used for a specific procedure contains a critical component that is sensitive to ambient temperature. This component must be stored in a cold environment, and its useful life begins to decline once removed from the cold. During preparation for a surgery, the medical kit is removed from cold storage and brought to the operating room. At this point, the critical component's exposure timer begins. However, during the procedure, due to a change in clinical circumstances, the surgeon decides not to use the critical component. After the surgery, according to the existing process, the entire medical kit is marked as consumed, and the inventory of the kit and all its components is written off from the system's records. At this point, the unused critical component, while physically intact and still having a certain remaining useful life, is no longer recorded in the inventory system and cannot be identified as a reusable resource. If another surgery urgently requires the same component, the existing system has no information about its availability, necessitating the allocation of a new kit from the main inventory. The unused component may eventually be discarded due to exceeding its remaining useful life.

[0017] If these issues are not addressed, medical 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 status, causing reusable resources to become "invisible" in information systems and miss deployment opportunities. This will directly increase medical institutions' operating costs and may also affect the efficiency of medical processes in emergency situations, as exposed, but still valid components cannot be quickly located and utilized. This management blind spot makes the refined management of environmentally sensitive, high-value consumables a technical challenge.

[0018] To this end, this application Figure 1 A medical device consumables inventory management method is shown, which is used to manage components with a usable time limit in a medical kit. The usable time limit begins to decay after the components are removed from a specific storage environment. The method includes the following steps: S101, obtaining a starting time point when a component is exposed from a specific storage environment; S102. Before the available time limit of the component expires, receiving a release instruction generated for the component in the medical process, and recording the time point of receiving the release instruction; S103, 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 of receiving the release instruction; S104. Update the inventory status of the component to an independent available status including a remaining available time limit, so as to be deployed independently of the medical kit.

[0019] Among them, the exposure starting time point refers to the specific moment when the component leaves the specific storage environment and begins to be exposed to environmental conditions that may cause its usable time limit to decay. It can be achieved by automatically recording the system time when scanning the component identification code, such as scanning when the component is taken out of a dedicated refrigerator. It is mainly used to determine the starting point of the component's environmental exposure; the release instruction refers to an instruction issued to a specific component during the medical process, indicating that the component may no longer need to be used as part of the original medical kit. It can be achieved by medical staff performing operational input in the surgical information system, such as system marking when deciding not to use a component in the kit during surgery. It is mainly used to trigger re-evaluation and management of the status of the component; the remaining usable time limit refers to the time when the component receives the release instruction based on its The remaining length of time that a component can maintain its expected function and performance after experiencing environmental exposure can be achieved by calculation based on the exposure duration and attenuation model. For example, the equivalent exposure time is calculated according to the component type and exposure environment and deducted from the initial available time limit. It is mainly used to accurately characterize the current actual available status of the component; the independent available status means that the inventory information of the component is updated so that it is no longer managed only as part of the original medical kit, but as an independent inventory unit with a clear remaining available time limit. It can be achieved by creating a new record for the component in the inventory management system that contains the remaining available time limit attribute. For example, an independent inventory entry is created for an unused biological valve and its remaining effective time is displayed. It is mainly used to enable the component to be queried, deployed and reused independently of the original kit.

[0020] The solution of this application establishes a starting point record of a component's environmental exposure history by capturing the start time of a component's exposure outside a specific storage environment. Before the component's usable lifespan has expired, the system receives a release instruction generated for the component during the medical process and records the specific time of receipt. Receiving the instruction before the usable lifespan ensures that the component remains valuable for subsequent processing. In response to the release instruction, the system calculates the actual exposure time of the component from the time it left the specific storage environment until the instruction was received, based on the previously recorded exposure start time and the time the release instruction was received. Based on this, the system determines the component's remaining usable lifespan. The system then updates the component's inventory status, making it no longer solely attached to the original medical kit but an independent inventory unit with its precise remaining usable lifespan. This independent usable status enables the component to be independently queried, tracked, and deployed throughout the inventory system, thereby seizing fleeting reuse opportunities.

[0021] As a specific implementation, let's take a bioprosthetic valve contained in a medical kit as an example. When a nurse removes the medical kit containing the bioprosthetic valve from a dedicated refrigerator, the system automatically records this moment as the valve's exposure start time by scanning the kit's or valve's identification code. The valve has a room temperature usable time limit of, for example, four hours. If, during the procedure, the surgeon decides not to use the valve, the nurse marks the valve as "unused" in the surgical information system. The system receives this mark as a release instruction and records the time of receipt. The system then calculates the time difference between the exposure start time and the time of receipt of the release instruction, for example, three hours. Based on the initial four-hour usable time limit and the three hours of exposure, the system determines that the valve's remaining usable time limit is one hour. The system then updates the valve's inventory status, separating it from the original kit's inventory and placing it as a separate inventory item with the status "Independently available, 1 hour remaining." This independent status allows other surgeries requiring this type of valve and scheduled for implantation within one hour to query the inventory system and request the valve for use.

[0022] The above technical solution accurately tracks the environmental exposure history of independent components with a limited availability within a medical kit, and promptly captures their unused information during the medical process. Based on the precisely calculated remaining available time limit, 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 problem of resource waste caused by the loss and inability to reuse information on unused, time-sensitive components under the existing kit-based management model, thereby improving the utilization efficiency of medical consumables.

[0023] As an embodiment of the present invention, before the available time limit of the component expires, the steps of receiving a release instruction generated for the component during the medical procedure and recording the time point of receiving the release instruction include: Based on a preset association rule representing the functional dependency between the dominant component and the subordinate components in the medical suite, a release instruction received for the dominant component during the medical procedure is identified as a first release instruction, and a time point at which the first release instruction is received is recorded; In response to identifying the first release instruction, triggering generation of a second release instruction for the slave component; 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 dominant component in the inventory status change.

[0024] Among them, the preset association rules that characterize the functional dependencies between the dominant components and subordinate components in the medical kit refer to pre-defined logical or data structures that describe the functional interdependence between different components in the medical kit. They can be implemented using association tables in the database, mapping relationship lists in the configuration files, or logical judgment rules in the software code. Their purpose is to provide a basis for the system to identify and process the dependencies between components; the first release instruction refers to the release operation instruction received by the system during the medical process, which is clearly for the release operation instruction defined as the dominant component in the medical kit. It can be implemented using the data message generated by the system when scanning the dominant component identification code or the operation record for the dominant component on the user interface. Its purpose is to mark that the dominant component has entered the use process; the second release instruction refers to the release operation instruction received by the system when identifying the dominant component identification code. After the first release instruction of the component, a simulated release operation instruction is automatically generated for the subordinate component with which it has a functional dependency according to the preset association rules. This can be implemented using data records or messages generated within the system. The purpose is to ensure that the status of the subordinate component is updated synchronously with the dominant 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 record of the first release instruction and the data record of the second release instruction in the inventory management system to reflect the triggering and dependency relationship between them. This can be implemented by setting a foreign key in the database record, using a unique transaction ID, or through an associated data structure. The purpose is to enhance the traceability of inventory status changes and to clarify that the reason for the status change of the subordinate component is that the dominant component on which it depends is released.

[0025] The solution of this application introduces association rules for functional dependencies between components, enabling the system to identify the inherent connections between the lead and subordinate components in a medical kit. When a release command for a lead component is received and identified as a first release command, the system no longer processes only that command. Instead, based on pre-set association rules, it automatically triggers the generation of a second release command for the associated subordinate component. The system then associates and stores records of these two types of commands. Thanks to this dependency-based command identification, triggering, and association mechanism, the system can simultaneously reflect the release status of both the lead and subordinate components when updating inventory status, even if the subordinate component itself is not directly operated. This allows inventory information to more accurately reflect the actual availability status of components within the medical kit, particularly for consumables that are functionally dependent on other components. This approach, combined with the basic solution's approach of processing only individual component commands, enables the entire inventory management process to more precisely track time-sensitive components, whether they exist independently or as part of a medical kit. It also takes into account the functional relationships between components, leading to more accurate inventory management and avoiding resource waste caused by delayed or inaccurate information.

[0026] As an embodiment of the present invention, in response to a release instruction, the step of determining the remaining available time limit of the component based on the exposure start time point and the time point of receiving the release instruction includes: Obtaining preset association rules that characterize the impact of environmental physical parameters on the attenuation rate of component usable time limit; Obtaining the values ​​of the physical parameters of the environment in which the component is located after leaving the specific storage environment and receiving the release instruction; Based on the exposure start time and the time when the release command is received, the actual exposure duration of the component is calculated; Based on the association rules and the values ​​of environmental physical parameters, the actual exposure duration is converted into equivalent exposure duration; Determine the remaining useful life of the component based on the equivalent exposure duration.

[0027] Association rules refer to pre-established relationships that describe how specific environmental physical parameters (such as temperature, humidity, and light) affect the rate of component usable life degradation. These can be mathematical models, lookup tables, or rule sets established through experimental testing, accelerated aging studies, or analysis of manufacturer-provided data. Their purpose is to quantify the relative rate of component performance degradation under different environmental conditions. Environmental physical parameter values ​​refer to quantified data on the environmental conditions experienced by a component during actual exposure. These can be temperature, humidity, and other numerical values ​​monitored in real time by sensors or obtained from an environmental monitoring system. Their purpose is to provide practical input for assessing environmental impacts. Equivalent exposure time refers to the duration of exposure to the actual environment, corrected for the effect of these environmental conditions on the rate of usable life degradation, resulting in a duration equivalent to exposure under standard conditions. This can be achieved by dividing the actual exposure time into time periods, calculating the equivalent degradation within each time period based on the environmental physical parameter values ​​and their corresponding association rules, and then summing the equivalent degradation across all time periods to obtain the total equivalent exposure time. The goal is to standardize exposure times under different environments into a standardized metric to more accurately assess the overall degradation of a component.

[0028] The solution of this application considers the impact of environmental physical parameters on the decay rate of a component's usable lifespan and converts the actual exposure duration into an equivalent exposure duration based on preset association rules, thereby determining the remaining usable lifespan of a component. Specifically, association rules describing how environmental physical parameters influence the decay rate are first obtained; these rules serve as the basis for assessing environmental impacts. Simultaneously, the values ​​of the environmental physical parameters to which the component was exposed during the actual exposure period are obtained, reflecting the environmental conditions the component actually experienced. Based on the time the component was removed from the specific storage environment and the time the release command was received, the actual exposure duration of the component is calculated, representing the physical length of time the component has been out of the controlled environment. The key is to use the obtained association rules and environmental physical parameter values ​​to correct the actual exposure duration and convert it into an equivalent exposure duration. For example, if a component in a high-temperature, high-humidity environment may decay faster than under standard conditions, then an actual exposure of one hour may be equivalent to 1.5 hours under standard conditions. Conversely, if a component in a low-temperature, dry environment may decay more slowly, then an actual exposure of one hour may be equivalent to 0.8 hours under standard conditions. Finally, the calculated equivalent exposure time is subtracted from the total equivalent usable life of the component to determine the remaining equivalent usable life of the component. This approach takes into account the acceleration or deceleration of component degradation caused by environmental factors, making the assessment of the remaining usable life more accurate to the actual condition of the component.

[0029] As an embodiment of the present invention, the step of obtaining a preset association rule representing the influence of environmental physical parameters on the decay rate of the component's available time limit includes: Obtain historical data records of reference components of the same type as the component, where the reference components have reached the end of their life cycle and the historical data records represent the actual attenuation process of the reference components in real-world environments; Based on historical data records and preset association rules, determining the deviation amount of the preset association rules; The preset association rule is modified according to the deviation to generate a modified association rule, and the modified association rule is used as the acquired association rule.

[0030] The historical data records for reference components refer to the changes over time in environmental physical parameters (such as temperature, humidity, and light) experienced by components of the same model or batch as the component being evaluated during actual use or storage, as well as the component's ultimate actual service life or degradation. These records are derived from reference components that have completed their lifecycles and are intended to provide degradation data under real-world conditions. Pre-defined association rules are mathematical models or lookup tables, initially established before the reference component's historical data is modified, that describe how specific environmental physical parameters (or combinations thereof) affect the degradation rate of the component's service life. These models can be based on theoretical derivation, laboratory accelerated aging test data, or expert experience, and are intended to provide a preliminary quantification of the impact of environmental parameters on degradation rates. The deviation is the degree of discrepancy between the preset association rules and the actual degradation process of the reference component under real-world conditions (as reflected in the historical data) and the predicted degradation process based on the preset association rules. The deviation can be a single value, a function, a vector, or an error distribution model, representing the degree to which the preset rule deviates from the actual situation under different environmental conditions. Its purpose is to quantify the shortcomings of the preset rule. Correction refers to adjusting or optimizing the preset association rule based on the determined deviation to reduce the difference between it and the actual attenuation process. Correction can be achieved by adjusting parameters in the preset rule, modifying the functional form of the rule, establishing a deviation compensation model, or updating the lookup table. Its purpose is to improve the accuracy of the association rule.

[0031] The solution of the present application obtains historical data records of reference components of the same type as the component. These records represent the actual attenuation process of the reference component under real-world conditions. It is precisely because of the introduction of attenuation data from real-world conditions that the actual situation can be more accurately reflected, avoiding errors caused by idealized models. Based on these historical data records and the preset association rules, the deviation of the preset association rules can be determined. By comparing the actual attenuation data with the predicted results of the preset rules, the degree of deviation of the rules can be quantified, providing a basis for subsequent corrections. Considering the deviation of the preset association rules, the preset association rules are corrected according to the determined deviation to generate corrected association rules, and the corrected association rules are used as the obtained association rules. It is precisely because of this correction that the association rules are closer to the actual situation, improving the prediction accuracy, and thus more accurately assessing the remaining useful life of the component. This corrected association rule can more reliably reflect the actual impact of environmental physical parameters on the attenuation rate of the component's useful life.

[0032] As an embodiment of the present invention, the step of determining the deviation amount of the preset association rule based on the historical data record and the preset association rule includes: Divide the value range of environmental physical parameters into multiple parameter intervals; Based on the environmental physical parameter values ​​recorded in the historical data record, the data segments in the historical data record are assigned to their corresponding parameter intervals; For each parameter interval, based on the data segments assigned to the parameter interval and the preset association rules, determine the interval deviation corresponding to the parameter interval; The interval deviations corresponding to all parameter intervals are collectively determined as the deviations of the preset association rules.

[0033] Among them, dividing the value range of environmental physical parameters into multiple parameter intervals means dividing the possible numerical range of environmental physical parameters into several continuous or discrete sub-ranges, which can be achieved by equal interval division, non-equal interval division based on data distribution or division based on expert experience, and its purpose is to decompose the complex parameter space for segmented analysis; wherein, the data segment in the historical data record refers to a group of data associated with a specific time period or specific environmental conditions in the historical data record, which may contain information such as the value of the environmental physical parameter, the actual attenuation of the component, and its purpose is to provide a data basis for analysis; wherein, allocating the data segment in the historical data record to its corresponding parameter interval means allocating the data segment in the historical data record to its corresponding parameter interval according to the environmental physical parameter value recorded in the historical data record. , classifying the data segment into the parameter interval containing the parameter value, with the purpose of establishing an association between historical data and the parameter interval; wherein, the interval deviation refers to the difference measure between the attenuation predicted by the preset association rule and the actual attenuation reflected by the historical data record within a specific parameter interval, with the purpose of quantifying the accuracy of the preset rule within the specific parameter interval; wherein, jointly determining the interval deviations corresponding to all parameter intervals as the deviation of the preset association rule means comprehensively processing the interval deviations calculated for each parameter interval to obtain an overall deviation value, which can be achieved by averaging, weighted average or aggregation calculation based on a specific model, with the purpose of obtaining a global deviation value for correcting the preset association rule.

[0034] The solution of the present application realizes the structured decomposition of the complex parameter space by dividing the value range of the environmental physical parameters 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 intervals, ensuring that the analysis of each parameter interval is based on the real data related to it. For each parameter interval, the interval deviation corresponding to the parameter interval is determined based on the data segments assigned to the parameter interval and the preset association rules, which enables a fine evaluation of the performance of the preset rules within different parameter value ranges. The interval deviations corresponding to all parameter intervals are jointly determined as the deviation of the preset association rules, and a more comprehensive and accurate overall deviation is obtained by combining the analysis results of each interval. This segmented analysis and synthesis method based on parameter intervals overcomes the problem of inaccurate deviation that may result from a simple comparison of all historical data, so that the determined deviation can more realistically reflect the impact of environmental physical parameters on the component's usable time limit attenuation rate under different conditions. The deviation thus determined is used to modify the preset association rules, so that the modified association rules can more accurately characterize the impact of environmental physical parameters on the component attenuation rate, thereby improving the accuracy of subsequent calculations of the remaining useful life of the components based on the association rules and enhancing the reliability of the entire inventory management method.

[0035] As an embodiment of the present invention, for each parameter interval, based on the data segments assigned to the parameter interval and the preset association rules, the step of determining the interval deviation corresponding to the parameter interval includes: Divide the parameter interval into multiple subintervals; For a subinterval containing a data segment, determining a local deviation corresponding to the subinterval based on the data segment and a preset association rule; Based on the local deviation amount and the environmental physical parameter value corresponding to the sub-interval, a corresponding relationship between the local deviation amount and the environmental physical parameter within the parameter interval is established; According to the corresponding relationship, the interval deviation corresponding to the parameter interval is calculated.

[0036] Among them, the local deviation refers to the deviation value calculated based on actual data and preset rules in a smaller sub-interval within the parameter interval. It can be achieved by calculating the average deviation of all data segments in the sub-interval, with the aim of obtaining more fine-grained deviation information; the corresponding relationship refers to a certain correlation pattern between the local deviation and the environmental physical parameter value within the parameter interval, which can be achieved by a set of functions, curves or discrete points, with the aim of revealing the inherent law between parameter changes and deviations; the interval deviation refers to the comprehensive deviation value representing the influence of environmental physical parameters on the available time limit attenuation within the entire parameter interval, which can be obtained by summarizing or fitting the local deviation information of the sub-interval, with the aim of providing a deviation value representing the entire parameter interval.

[0037] The solution of this application further divides the parameter interval into multiple subintervals and calculates local deviations within the subintervals containing data segments, obtaining more detailed deviation information than a single interval deviation. Based on these local deviations and the corresponding environmental physical parameter values, a corresponding relationship between the local deviations and the environmental physical parameters within the parameter interval is established. This reveals the deviation pattern of the impact of environmental physical parameters on the availability time decay rate when they vary within the parameter interval. Ultimately, the interval deviation corresponding to the parameter interval is calculated based on the established corresponding relationship. This method, building on the previously described embodiment of dividing the range of environmental physical parameters into multiple parameter intervals and assigning data segments, further refines the process of determining the deviation within each parameter interval. By capturing the changing trends within the parameter interval, rather than simply representing the entire interval with a single value, the determined interval deviation more accurately reflects the actual impact of the environmental physical parameters on the component availability time decay rate within that interval. This provides a more precise basis for subsequent revisions to the pre-set association rules, thereby improving the accuracy of the revised association rules and ultimately making the component remaining availability time determined based on the association rules more reliable.

[0038] As an embodiment of the present invention, the step of establishing a correspondence between the local deviation amount and the environmental physical parameter within the parameter interval based on the local deviation amount and the environmental physical parameter value corresponding to the subinterval includes: Obtain the environmental physical parameter value corresponding to the local deviation amount and the subinterval; Analyze the changing trend between local deviation and environmental physical parameter values; According to the changing trend, the corresponding relationship between the local deviation and the environmental physical parameters within the parameter range is constructed.

[0039] Among them, the local deviation refers to the deviation value calculated for a sub-interval within the parameter interval based on the data segment within the sub-interval and the preset association rule, which reflects the difference between the actual performance of the preset association rule in the sub-interval and the predicted value; the environmental physical parameter value corresponding to the sub-interval refers to the value used to characterize the level of the environmental physical parameter in the sub-interval, which can be expressed by the average value, median or a representative sampling value of the environmental physical parameter in the sub-interval; the change trend refers to the regular trend of the local deviation as the environmental physical parameter value changes, which can be expressed as a linear, nonlinear, monotonically increasing, monotonically decreasing or more complex relationship; the corresponding relationship refers to a mathematical model or lookup table established to describe the mutual dependence or influence between the local deviation and the environmental physical parameter value, which can be expressed in the form of a function expression, a curve graph or a set of discrete data points.

[0040] The solution of this application obtains the local deviation values ​​determined for each subinterval in the previous step, along with the corresponding environmental physical parameter values ​​for these subintervals, providing a data foundation for subsequent analysis. This data is then analyzed in depth to explore how the local deviation values ​​change with changes in the environmental physical parameter values, identifying the underlying patterns or trends between the two. Based on this precise understanding of the relationship between actual attenuation data (reflected by the local deviation values) and environmental factors (reflected by the environmental physical parameter values), the application is able to construct a corresponding relationship based on the analyzed changing trends that accurately reflects the interaction between the local deviation values ​​and the environmental physical parameters across the entire parameter range. This corresponding relationship is no longer a simple discrete data point, but a continuous or structured model that more precisely describes the impact of different values ​​of the environmental physical parameters on the component attenuation deviation. Establishing this corresponding relationship provides a solid and refined foundation for the subsequent calculation of the interval deviation values ​​corresponding to each parameter range. This ultimately determines the interval deviation values ​​that more accurately reflect the combined impact of the environmental physical parameters on the component's usable lifespan within that parameter range, thereby improving the accuracy of association rule modification and ultimately the precision of the component's remaining usable lifespan determination.

[0041] As an embodiment of the present invention, the step of calculating the interval deviation corresponding to the parameter interval according to the corresponding relationship includes: According to the corresponding relationship, the deviation of the environmental physical parameter corresponding to multiple preset value points within the parameter range is obtained; Determine a representative value of the deviation within the parameter interval based on the distribution of the deviations corresponding to the plurality of preset value points within the parameter interval; The representative value is used as the interval deviation corresponding to the parameter interval.

[0042] Among them, the corresponding relationship refers to the function or mapping relationship established between the local deviation and the environmental physical parameter value, which can be implemented by methods such as statistical regression; the preset value points refer to a series of environmental physical parameter values ​​determined in advance within the parameter interval, which can be evenly distributed or non-uniformly distributed within the parameter interval as needed; the deviation refers to the difference between the preset association rule and the actual attenuation process under specific environmental physical parameter values; the distribution refers to the numerical dispersion, concentration or change trend of the deviation corresponding to multiple preset value points; the representative value refers to a value that can reflect the overall deviation level within the parameter interval, which can be determined by statistical quantities such as the mean, median, and weighted average.

[0043] The solution of this application obtains the deviation of the environmental physical parameter at multiple preset value points within the parameter range based on the correspondence between local deviation and the value of the environmental physical parameter. This allows for multi-point sampling within the parameter range to more comprehensively capture the variation of the deviation with the environmental physical parameter. Next, based on the distribution of the deviations corresponding to these multiple preset value points within the parameter range, a representative value is determined that represents the deviation level for the entire parameter range. Finally, this representative value is used as the interval deviation for the parameter range. Compared to the method of calculating the deviation at a single environmental physical parameter value based on the correspondence, this method of determining the representative value through multi-point sampling and distribution analysis can more accurately reflect the deviation level within the entire parameter range and effectively avoid the local errors or outliers that may be caused by single-point calculations. This makes the calculated interval deviation more robust and representative, providing a more reliable basis for subsequent revisions to the preset association rules. The interval deviation calculated in this way can more accurately reflect the actual impact of the environmental physical parameter on the component's usable time limit decay rate within the parameter range, thereby improving the accuracy of the revised association rules.

[0044] As an embodiment of the present invention, the step of analyzing the change trend between the local deviation amount and the environmental physical parameter value includes: Statistical regression processing is performed on the local deviation amount and the environmental physical parameter value to obtain a functional relationship that characterizes the change law between the local deviation amount and the environmental physical parameter value.

[0045] Among them, statistical regression processing refers to a statistical method that studies the relationship between variables by establishing a mathematical model. It can be implemented by various specific algorithms such as linear regression, polynomial regression, and nonlinear regression. Its purpose is to extract a universally meaningful and continuous functional relationship from discrete observation data; among them, the functional relationship refers to a mathematical expression that can describe 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, polynomial functions, and exponential functions. Its purpose is to express the changing law between the local deviation and the environmental physical parameter value in an accurate and computable way.

[0046] The solution of the present application performs statistical regression processing on the local deviation and the environmental physical parameter value, and can fit a function model that can reflect the overall change trend and internal law of the two from the actual observed discrete data points. This statistical regression method can effectively filter out random noise in the data and capture the more essential relationship between variables. It is precisely because of the functional relationship that characterizes this change law that the local deviation corresponding to any environmental physical parameter value can be predicted or calculated based on this function model within the entire parameter range of the environmental physical parameter, thereby establishing an accurate correspondence between the local deviation and the environmental physical parameter within the parameter range. This accurate correspondence, compared to simply analyzing the change trend of discrete data points, can provide a more stable and reliable basis for deviation assessment, thereby improving the accuracy of the association rules based on the environmental physical parameters, and ultimately making the calculation of the remaining available time limit of the component more accurate. This solution is combined with the basic solution of obtaining local deviations and environmental physical parameter values ​​and preliminarily analyzing change trends. By introducing statistical regression, a more advanced data analysis method, it overcomes the limitations of simple trend analysis and achieves a leap from discrete data to continuous and precise function models, thereby significantly improving the accuracy of deviation assessment and remaining available time limit calculation.

[0047] like Figure 2 A medical device consumables inventory management system is shown, which is used to manage components with a usable time limit in a medical kit. The usable time limit begins to decay after the components are out of a specific storage environment. The system includes: An acquisition module 201 is used to acquire a starting time point when a component is exposed from a specific storage environment; A receiving module 202 is configured to receive a release instruction generated for a component in a medical procedure before the available time limit of the component expires, and record a time point when the release instruction is received; A determination module 203 is configured to determine, in response to the release instruction, a remaining available time limit of the component based on the exposure start time point and the time point of receiving the release instruction; The updating module 204 is configured to update the inventory status of the component to an independent available status including a remaining available time limit, so as to be deployed independently of the medical kit.

[0048] The solution of this application forms a complete system by configuring an acquisition module 201, a receiving module 202, a determination module 203, and an update module 204. Acquisition module 201 is responsible for capturing the starting point of component exposure, which serves as the basis for all subsequent calculations. Receiving module 202 monitors release instructions generated during the medical process in real time and accurately records the time of receipt, indicating that the component's status needs to be reassessed. After receiving this critical time information, determination module 203 calculates the component's remaining usable time in its current state based on pre-set logic or algorithms. Finally, update module 204 integrates this dynamically changing remaining usable time information into the component's inventory record, marking it as independently available. Precisely due to this modular design and information flow mechanism, the system is able to automatically and in real time track and manage time-sensitive components, eliminating the reliance on manual operations and information lags inherent in traditional methods. By transforming method steps into system functions, the system solution of this application provides an efficient and reliable execution platform for medical device consumables inventory management methods, enabling the method to be truly implemented and solving management challenges in practical applications.

[0049] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. Various changes and improvements are possible without departing from the spirit and scope of the present invention, and such changes and improvements fall within the scope of the invention as claimed.

Claims

1. A method for managing inventory of medical device consumables, for managing components within a medical kit that have a usable lifespan, wherein the usable lifespan begins to decay after the components are removed from a specific storage environment, characterized in that: The method comprises the following steps: Obtaining a starting time point of exposure of the component from a specific storage environment; Before the available time limit of the component is exhausted, receiving a release instruction generated for the component during the medical procedure, and recording a time point when the release instruction is received; In response to the release instruction, determining a remaining available time limit of the component based on the exposure start time point and the time point of receiving the release instruction; The inventory status of the component is updated to an independent available status including the remaining available time limit, so as to be allocated independently of the medical kit.

2. A method for managing inventory of medical device consumables according to claim 1, characterized in that: The step of receiving a release instruction generated for the component during a medical procedure before the available time limit of the component expires and recording the time point of receiving the release instruction includes: Based on a preset association rule characterizing the functional dependency between the leading component and the subordinate components in the medical kit, identifying a release instruction received during the medical procedure for the leading component as a first release instruction, and recording a time point at which the first release instruction is received; In response to identifying the first release instruction, triggering generation of a second release instruction for the slave component; 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 dominant component in the inventory status change.

3. A method for managing inventory of medical device consumables according to claim 1, characterized in that: The step of determining, in response to the release instruction, a remaining available time limit of the component based on the exposure start time point and the time point of receiving the release instruction includes: Obtaining a preset association rule representing the influence of environmental physical parameters on the attenuation rate of the component's available time limit; Obtaining a value of a physical parameter of the environment in which the component is located during a period from when the component leaves the specific storage environment to when the component receives the release instruction; Calculating an actual exposure duration of the component based on the exposure start time point and the time point of receiving the release instruction; Based on the association rule and the environmental physical parameter value, converting the actual exposure duration into an equivalent exposure duration; Based on the equivalent exposure time, a remaining usable time limit of the component is determined.

4. A method for managing inventory of medical device consumables according to claim 3, characterized in that: The step of obtaining a preset association rule representing the influence of environmental physical parameters on the attenuation rate of the component's available time limit includes: Obtaining historical data records of a reference component of the same type as the component, the reference component having reached the end of its life cycle, the historical data records representing an actual attenuation process of the reference component under a real environment; Determining a deviation from the preset association rule based on the historical data record and the preset association rule; The preset association rule is modified according to the deviation to generate a modified association rule, and the modified association rule is used as the acquired association rule.

5. A method for managing inventory of medical device consumables according to claim 4, characterized in that: The step of determining the deviation of the preset association rule based on the historical data record and the preset association rule includes: Dividing the value range of the environmental physical parameter into multiple parameter intervals; Allocating data segments in the historical data record to corresponding parameter intervals based on the environmental physical parameter values ​​recorded in the historical data record; For each parameter interval, determining an interval deviation corresponding to the parameter interval based on the data segments assigned to the parameter interval and a preset association rule; The interval deviations corresponding to all parameter intervals are collectively determined as the deviations of the preset association rule.

6. A method for managing inventory of medical device consumables according to claim 5, characterized in that: The step of determining, for each parameter interval, the interval deviation corresponding to the parameter interval based on the data segments assigned to the parameter interval and the preset association rules includes: Dividing the parameter interval into a plurality of subintervals; For a subinterval containing the data segment, determining a local deviation corresponding to the subinterval based on the data segment and the preset association rule; Based on the local deviation amount and the environmental physical parameter value corresponding to the sub-interval, establishing a corresponding relationship between the local deviation amount and the environmental physical parameter within the parameter interval; The interval deviation corresponding to the parameter interval is calculated based on the corresponding relationship.

7. A method for managing inventory of medical device consumables according to claim 6, characterized in that: The step of establishing a correspondence between the local deviation and the environmental physical parameter within the parameter interval based on the local deviation and the environmental physical parameter value corresponding to the subinterval includes: Obtaining the environmental physical parameter value corresponding to the local deviation amount and the subinterval; Analyzing the variation trend between the local deviation amount and the environmental physical parameter value; According to the change trend, a corresponding relationship between the local deviation amount and the environmental physical parameter within the parameter range is constructed.

8. A method for managing inventory of medical device consumables according to claim 6, characterized in that: The step of calculating the interval deviation corresponding to the parameter interval based on the corresponding relationship includes: According to the corresponding relationship, obtaining the deviation of the environmental physical parameter corresponding to a plurality of preset value points within the parameter range; Determining a representative value of the deviation amount within the parameter interval according to a distribution of the deviation amounts corresponding to the plurality of preset value points within the parameter interval; The representative value is used as the interval deviation corresponding to the parameter interval.

9. A method for managing inventory of medical device consumables according to claim 7, characterized in that: The step of analyzing the change trend between the local deviation amount and the environmental physical parameter value includes: Statistical regression processing is performed on the local deviation amount and the environmental physical parameter value to obtain a functional relationship that characterizes the change law between the local deviation amount and the environmental physical parameter value.

10. A medical device consumables inventory management system for managing components in a medical kit that have a usable time limit, wherein the usable time limit begins to decay after the component leaves a specific storage environment, characterized in that: The system includes: An acquisition module, configured to acquire a starting time point of exposure of the component from a specific storage environment; a receiving module, configured to receive a release instruction generated for the component during a medical procedure before the available time limit of the component is exhausted, and record a time point at which the release instruction is received; a determination module, configured to determine, in response to the release instruction, a remaining available time limit of the component based on the exposure start time point and the time point of receiving the release instruction; An updating module is used to update the inventory status of the component to an independent available status including the remaining available time limit, so as to be allocated independently of the medical kit.

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