Medical consumable full-process traceability management system

Abstract

The invention relates to the technical field of medical resource management, in particular to a medical consumable full-process traceability management system which can realize the following steps through mutual cooperation of a plurality of modules: on the basis of consumption conditions of every two preset medical consumables in a historical time period, a traceability management module is established; determining a target association degree between every two preset medical consumables; determining an abnormal loss amount and an abnormal consumption index corresponding to each type of preset medical consumables; determining a target abnormal index corresponding to each type of preset medical consumables according to the abnormal loss amount and the consumption abnormal index corresponding to each type of preset medical consumables; and based on the target abnormal index corresponding to each type of preset medical consumables, judging whether each type of preset medical consumables has abnormal loss in the current time period, thereby realizing traceability management of the medical consumables. According to the invention, the accuracy of abnormal loss detection of the medical consumables is improved, so that the rationality of traceability management of the medical consumables is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical resource management, and particularly relates to a full-process traceability management system for medical consumables. Background Art

[0002] The traceability monitoring of the loss of medical consumables is crucial for medical institutions. It can accurately track the actual usage of consumables, and to a certain extent, avoid inventory waste and abnormal losses. Such monitoring can strengthen cost control, prevent the abuse or loss of consumables, and ultimately achieve refined management and reasonable allocation of resources. Currently, when detecting abnormal losses of medical consumables, the commonly used method is: based on the consumption difference of medical consumables between the current month and the previous month, detecting abnormal losses of medical consumables, that is, it is considered that the greater the consumption difference of medical consumables between the current month and the previous month, the more abnormal losses exist in the usage process of medical consumables in the current month.

[0003] However, when detecting abnormal losses of medical consumables based on the consumption difference of medical consumables between the current month and the previous month, the following technical problems often exist: In the actual operation process of surgeries, the losses of some medical consumables are not always fixed, and there are often certain fluctuations in the normal loss quantity. For example, even for the same type of medical consumable used in the same surgery each time, the quantity may be different. Moreover, the consumption difference of medical consumables between the current month and the previous month often includes the normal loss quantity fluctuations of some medical consumables. Therefore, when directly detecting abnormal losses of medical consumables based on the consumption difference of medical consumables between the current month and the previous month, the accuracy of detecting abnormal losses of medical consumables may be poor, resulting in poor rationality of the traceability management of medical consumables. Summary of the Invention

[0004] In order to solve the technical problem of poor rationality of the traceability management of medical consumables due to poor accuracy of detecting abnormal losses of medical consumables, the present invention proposes a full-process traceability management system for medical consumables.

[0005] In a first aspect, the present invention provides a full-process traceability management system for medical consumables, and the system includes: An association degree determination module, configured to determine the target association degree between every two preset medical consumables based on the consumption situations of every two preset medical consumables in a historical time period; An abnormal loss quantity determination module, configured to determine the abnormal loss quantity corresponding to each preset medical consumable according to the usage quantity of different preset medical consumables in the current time period and the target association degree between each preset medical consumable and other preset medical consumables; A consumption anomaly index determination module, configured to determine a consumption anomaly index corresponding to each preset medical consumable according to the target correlation degree between each preset medical consumable and other preset medical consumables, and the usage conditions of each preset medical consumable and other preset medical consumables in the current time period and the historical time period; A target anomaly index determination module, configured to determine a target anomaly index corresponding to each preset medical consumable according to the abnormal loss amount and the consumption anomaly index corresponding to each preset medical consumable; An abnormal loss judgment module, configured to judge whether there is abnormal loss of each preset medical consumable in the current time period based on the target anomaly index corresponding to each preset medical consumable, thereby realizing the traceability management of medical consumables.

[0006] Combined with the first aspect above, in a possible implementation manner, the determining the target correlation degree between every two preset medical consumables according to the consumption conditions of every two preset medical consumables in the historical time period includes: Determine any one preset medical consumable as a marked consumable, and determine any one preset medical consumable other than the marked consumable among all the preset medical consumables as a reference consumable; Determine the surgeries that use both the marked consumable and the reference consumable in the historical time period as marked surgeries; Determine the ratio of the quantity of the marked consumable used to the quantity of the reference consumable used in each marked surgery as the target ratio corresponding to each marked surgery; Form the same target ratios among the target ratios corresponding to all the marked surgeries into a target ratio group, and determine the quantity of the target ratios in each target ratio group as the target proportion quantity; Determine a target order index according to the usage order of the marked consumable and the reference consumable in all the marked surgeries; Determine the target correlation degree between the marked consumable and the reference consumable according to the maximum target proportion quantity, the quantity of the marked surgeries, and the target order index.

[0007] Combined with the first aspect above, in a possible implementation manner, the determining the target order index according to the usage order of the marked consumable and the reference consumable in all the marked surgeries includes: Determine the earliest moment when the marked consumable is used in each marked surgery as the marked moment corresponding to each marked surgery, and determine the earliest moment when the reference consumable is used in each marked surgery as the reference moment corresponding to each marked surgery; If the marked moment corresponding to the marked surgery is earlier than its corresponding reference moment, then determine the marked surgery as a first-order surgery; If the marked moment corresponding to the marked surgery is later than its corresponding reference moment, then determine the marked surgery as a second-order surgery; If the marked time corresponding to the marked surgery is equal to its corresponding reference time, then determine the marked surgery as the third-order surgery; Determine the target order index according to the maximum value among the quantity of the first-order surgeries, the quantity of the second-order surgeries, and the quantity of the third-order surgeries.

[0008] Combined with the above first aspect, in a possible implementation manner, the determining the abnormal loss amount corresponding to each preset medical consumable according to the usage amount of different preset medical consumables within the current time period and the target correlation degree between each preset medical consumable and other preset medical consumables includes: Form a usage amount set corresponding to each preset medical consumable with the usage amounts of each preset medical consumable in all surgeries within the historical time period; Round up the average value of all usage amounts in the usage amount set corresponding to each preset medical consumable to obtain the representative surgery usage quantity corresponding to each preset medical consumable; Determine the target usage level corresponding to each preset medical consumable according to the representative surgery usage quantity corresponding to each preset medical consumable; Determine the other normal fluctuation influence factor corresponding to each preset medical consumable according to the target correlation degree between each preset medical consumable and other preset medical consumables and the target usage levels corresponding to other preset medical consumables; Determine the abnormal loss amount corresponding to each preset medical consumable according to the usage amount of each preset medical consumable within the current time period and the other normal fluctuation influence factor corresponding to each preset medical consumable.

[0009] Combined with the above first aspect, in a possible implementation manner, the determining the other normal fluctuation influence factor corresponding to each preset medical consumable according to the target correlation degree between each preset medical consumable and other preset medical consumables and the target usage levels corresponding to other preset medical consumables includes: Determine the local fluctuation influence value between each preset medical consumable and each other preset medical consumable according to the target correlation degree between each preset medical consumable and each other preset medical consumable and the target usage levels corresponding to each other preset medical consumable; Determine the other normal fluctuation influence factor corresponding to each preset medical consumable according to the local fluctuation influence value between each preset medical consumable and all other preset medical consumables, the usage amounts of other preset medical consumables within the current time period, and the target usage level corresponding to each preset medical consumable.

[0010] Combined with the above first aspect, in a possible implementation manner, determining the local fluctuation influence value between each preset medical consumable and each other preset medical consumable according to the target correlation degree between each preset medical consumable and each other preset medical consumable, and the target usage level corresponding to each other preset medical consumable includes: Determine any one preset medical consumable as a marked consumable, and determine any one preset medical consumable other than the marked consumable among all preset medical consumables as a reference consumable; Normalize the target usage level corresponding to the reference consumable to obtain the target level index corresponding to the reference consumable; Normalize the product of the target level index corresponding to the reference consumable and the target correlation degree between it and the marked consumable to obtain the local fluctuation influence value between the marked consumable and the reference consumable.

[0011] Combined with the above first aspect, in a possible implementation manner, determining the abnormal loss amount corresponding to each preset medical consumable according to the usage amount of each preset medical consumable in the current time period and other normal fluctuation influence factors corresponding to each preset medical consumable includes: Determine the correction weight corresponding to each preset medical consumable according to other normal fluctuation influence factors corresponding to each preset medical consumable; Determine the product of the usage amount of each preset medical consumable in the current time period and its corresponding correction weight as the abnormal loss amount corresponding to each preset medical consumable.

[0012] Combined with the above first aspect, in a possible implementation manner, determining the consumption abnormal index corresponding to each preset medical consumable according to the target correlation degree between each preset medical consumable and other preset medical consumables, and the usage situations of each preset medical consumable and other preset medical consumables in the current time period and historical time periods includes: Determine the ratio of the usage amount of each preset medical consumable to each other preset medical consumable in the current time period as the candidate ratio value between each preset medical consumable and each other preset medical consumable; Determine the ratio of the usage amount of each preset medical consumable to each other preset medical consumable in the historical time period as the overall representative ratio value between each preset medical consumable and each other preset medical consumable; Determine the consumption abnormal index corresponding to each preset medical consumable according to the candidate ratio value, overall representative ratio value and target correlation degree between each preset medical consumable and other preset medical consumables.

[0013] Combined with the above first aspect, in a possible implementation manner, the system further includes: Based on the current time period, construct an overall reference time period, and divide the overall reference time period with the duration of the current time period as the segmentation duration to obtain target time periods, where the last target time period is the current time period; Determine any one of the preset medical consumables as the marked consumable, and determine the difference between the usage amount of the marked consumable in each target time period and its previous target time period as the usage increment of the marked consumable in each target time period; If the usage increment of the marked consumable in the target time period is greater than 0, then determine this target time period as the reference increasing time period; Based on the current time period and the prediction time period, construct a temporary time period group, where the two time periods in the temporary time period group are adjacent two time periods, and the stages corresponding to the two time periods in the temporary time period group are the same as the stages corresponding to the current time period and the prediction time period respectively; Determine the difference between the usage amounts of the marked consumable in the two time periods in each temporary time period group as the usage increment of the marked consumable in each temporary time period group; According to the number of reference increasing time periods, the difference between the usage amounts of the marked consumable in the last target time period and the first target time period, and the average value of the usage increments of the marked consumable in all temporary time period groups, determine the degree of increase in the loss amount of the marked consumable in the prediction time period; According to the degree of increase in the loss amount of the marked consumable in the prediction time period and the usage amount of the marked consumable in the current time period, obtain the predicted usage amount of the marked consumable in the prediction time period; Adjust the time interval for purchasing the marked consumable according to the predicted usage amount of the marked consumable in the prediction time period.

[0014] Combined with the first aspect above, in a possible implementation manner, the adjusting the time interval for purchasing the marked consumable according to the predicted usage amount of the marked consumable in the prediction time period includes: According to the predicted usage amount of the marked consumable in the prediction time period, the target usage level corresponding to the marked consumable, and the difference between the predicted usage amount of the marked consumable in the prediction time period and the current inventory amount corresponding to the marked consumable, determine the degree of early purchase of the marked consumable in the prediction time period; Adjust the preset purchase time interval according to the degree of early purchase of the marked consumable in the prediction time period to obtain the adjusted time interval corresponding to the marked consumable.

[0015] In the second aspect, a medical consumable full-process traceability management system provided by the present invention implements the steps of a medical consumable full-process traceability management method, and the method includes: Based on the consumption situations of every two preset medical consumables in the historical time period, determine the target correlation degree between every two preset medical consumables; Determine the abnormal loss amount corresponding to each preset medical consumable according to the usage amount of different preset medical consumables in the current time period and the target correlation degree between each preset medical consumable and other preset medical consumables; Determine the consumption abnormal index corresponding to each preset medical consumable according to the target correlation degree between each preset medical consumable and other preset medical consumables, and the usage conditions of each preset medical consumable and other preset medical consumables in the current time period and historical time periods; Determine the target abnormal index corresponding to each preset medical consumable according to the abnormal loss amount and consumption abnormal index corresponding to each preset medical consumable; Based on the target abnormal index corresponding to each preset medical consumable, determine whether there is abnormal loss of each preset medical consumable in the current time period, thereby realizing the traceability management of medical consumables.

[0016] In a third aspect, a server is provided, including a memory and a processor. The memory is used to store executable program code, and the processor is used to call and run the executable program code from the memory, so that the device executes the above-mentioned full-process traceability management method for medical consumables.

[0017] In a fourth aspect, a computer program product is provided, which includes: computer program code. When the computer program code runs on a computer, the computer is enabled to execute the above-mentioned full-process traceability management method for medical consumables.

[0018] In a fifth aspect, a computer-readable storage medium is provided. The computer-readable storage medium stores computer program code. When the computer program code runs on a computer, the computer is enabled to execute the above-mentioned full-process traceability management method for medical consumables.

[0019] The present invention has the following beneficial effects: The full-process traceability management system for medical consumables of the present invention solves the technical problem that the rationality of medical consumable traceability management is poor due to the poor accuracy of detecting abnormal loss of medical consumables, improves the accuracy of detecting abnormal loss of medical consumables, and thus improves the rationality of medical consumable traceability management. Specifically, by analyzing the usage and consumption conditions of different preset medical consumables in the current time period and historical time periods, the present invention quantifies a plurality of characteristics related to abnormal loss of medical consumables, such as the target correlation degree, abnormal loss amount, consumption abnormal index, and target abnormal index between different preset medical consumables, and based on the target abnormal index corresponding to each preset medical consumable, determines whether there is abnormal loss of each preset medical consumable in the current time period, thereby improving the accuracy of detecting abnormal loss of medical consumables, and further improving the rationality of medical consumable traceability management. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0021] Figure 1 It is a schematic structural diagram of a full-process traceability management system for medical consumables according to the present invention; Figure 2 It is a flowchart of a full-process traceability management method for medical consumables according to the present invention; Figure 3 It is a schematic structural diagram of a computer device according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following will, in conjunction with the accompanying drawings and preferred embodiments, detail the specific implementation manners, structures, features, and effects of the technical solutions proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0023] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs.

[0024] Reference Figure 1 , which shows a schematic structural diagram of a full-process traceability management system for medical consumables according to the present invention. The full-process traceability management system for medical consumables includes: An association degree determination module 101, configured to determine the target association degree between every two preset medical consumables based on the consumption situation of every two preset medical consumables within a historical time period.

[0025] Among them, the end time of the historical time period can be the start time of the current time period. The duration corresponding to the historical time period can be greater than or equal to the duration corresponding to the current time period. The current time period can be the time period for detecting abnormal consumption of medical consumables to be carried out. Abnormal consumption of medical consumables can include, but is not limited to, abnormal consumption caused by incorrect consumption records of medical consumables and abnormal consumption caused by surgical abnormalities. In actual situations, it is often detected at the end of each month whether there is abnormal consumption of medical consumables within that month. Therefore, the duration corresponding to the current time period can be one month. The duration corresponding to the historical time period can be 1 year. For example, the current time period can be May 2025. The historical time period can be the time period between May 2024 and April 2025. Different preset medical consumables can be different medical consumables set in advance. Medical consumables can be, but are not limited to, steel plates, bone screws, self-breaking plugs, and hemostatic gauzes.

[0026] It should be noted that there is often a certain connection in the usage of various medical consumables during surgery. For example, when using a steel plate, bone screws, self-breaking plugs, and hemostatic gauzes are often used. Among them, the change in the usage quantity of bone screws and self-breaking plugs has a certain consistency with the change in the usage quantity of the steel plate. In different surgeries, the hemostatic gauze will change relatively based on the change in the usage quantity of the steel plate. Therefore, the usage situations of bone screws, self-breaking plugs, and hemostatic gauzes often have a certain correlation with the usage situation of the steel plate, but the usage correlation situations between different medical consumables and the same medical consumable are often different.

[0027] As an example, determining the target correlation degree between every two preset medical consumables can include the following steps: In the first step, any one of the preset medical consumables is determined as the marked consumable, and any one of the preset medical consumables except the above-mentioned marked consumable among all the preset medical consumables is determined as the reference consumable.

[0028] In the second step, the surgeries that use both the marked consumable and the reference consumable within the above-mentioned historical time period are determined as the marked surgeries.

[0029] In the third step, the ratio of the quantity of the marked consumable used to the quantity of the reference consumable used in each marked surgery is determined as the target ratio corresponding to each marked surgery.

[0030] In the fourth step, the same target ratios among all the target ratios corresponding to the marked surgeries are grouped to form a target ratio group, and the number of target ratios in each target ratio group is determined as the target proportion number.

[0031] In the fifth step, according to the usage order of the marked consumable and the reference consumable in all the marked surgeries, determining the target order index can include the following sub-steps: In the first sub-step, determine the earliest moment when the labeled consumables are used in each labeled surgery as the labeled moment corresponding to each labeled surgery, and determine the earliest moment when the reference consumables are used in each labeled surgery as the reference moment corresponding to each labeled surgery.

[0032] In the second sub-step, if the labeled moment corresponding to a labeled surgery is earlier than its corresponding reference moment, then determine the labeled surgery as a first-order surgery.

[0033] In the third sub-step, if the labeled moment corresponding to a labeled surgery is later than its corresponding reference moment, then determine the labeled surgery as a second-order surgery.

[0034] In the fourth sub-step, if the labeled moment corresponding to a labeled surgery is equal to its corresponding reference moment, then determine the labeled surgery as a third-order surgery.

[0035] In the fifth sub-step, determine the target order index according to the maximum value among the number of first-order surgeries, the number of second-order surgeries, and the number of third-order surgeries.

[0036] In the sixth step, determine the target correlation degree between the labeled consumables and the reference consumables according to the maximum target proportion quantity, the number of labeled surgeries, and the target order index.

[0037] For example, the formula corresponding to determining the target correlation degree between the labeled consumables and the reference consumables can be: ; where, Q is the target correlation degree between the labeled consumables and the reference consumables. is the normalization function. n is the number of labeled surgeries. is the maximum target proportion quantity. is the maximum value among the number of first-order surgeries, the number of second-order surgeries, and the number of third-order surgeries. is the target order index.

[0038] It should be noted that when n is larger, it often indicates that there are more surgeries using both the labeled consumables and the reference consumables during the historical time period, and it often indicates that there is more likely a certain correlation between the labeled consumables and the reference consumables during the usage process. When is larger, it often indicates that the usage proportion of the labeled consumables and the reference consumables is relatively more fixed in more surgeries, and it often indicates that there is more likely a certain correlation between the labeled consumables and the reference consumables during the usage process. When is larger, it often indicates that the usage order of the labeled consumables and the reference consumables is relatively more fixed in more surgeries, and it often indicates that there is more likely a certain correlation between the labeled consumables and the reference consumables during the usage process. Therefore, whenQ When it is larger, it often indicates that there is more likely a certain correlation between the marked consumables and the reference consumables during use.

[0039] The abnormal loss amount determination module 102 is configured to determine the abnormal loss amount corresponding to each preset medical consumable according to the usage amount of different preset medical consumables in the current time period and the target correlation degree between each preset medical consumable and other preset medical consumables.

[0040] Among them, the usage amount of the preset medical consumable in the current time period is the number of times the preset medical consumable is used in the current time period.

[0041] As an example, determining the abnormal loss amount corresponding to each preset medical consumable may include the following steps: In the first step, the usage amounts of each preset medical consumable in all surgeries in the historical time period are used to form a usage amount set corresponding to each preset medical consumable.

[0042] Among them, the usage amount set corresponding to the preset medical consumable may include: the usage amounts of the preset medical consumable in each surgery in the historical time period.

[0043] In the second step, the average value of all usage amounts in the usage amount set corresponding to each preset medical consumable is rounded up to obtain the representative surgery usage quantity corresponding to each preset medical consumable.

[0044] In the third step, according to the representative surgery usage quantity corresponding to each preset medical consumable, the target usage level corresponding to each preset medical consumable is determined.

[0045] For example, taking any one of the preset medical consumables as the marked consumable, the formula for determining the target usage level corresponding to the marked consumable can be: ; Among them, L is the target usage level corresponding to the marked consumable. A is the representative surgery usage quantity corresponding to the marked consumable.

[0046] It should be noted that in actual situations, the higher-level medical consumables tend to be used in relatively smaller quantities in a single surgery, while the lower-level medical consumables tend to be used in relatively larger quantities in a single surgery. For example, high-level medical consumables such as orthopedic steel plates tend to be used in smaller quantities in a single surgery than low-level medical consumables such as hemostatic gauze. When L is larger, it often indicates that the marked consumable is more likely to be a high-level medical consumable.

[0047] Fourthly, according to the target correlation degree between each preset medical consumable and other preset medical consumables, and the target usage level corresponding to other preset medical consumables, determining the other normal fluctuation influence factors corresponding to each preset medical consumable may include the following sub-steps: The first sub-step, according to the target correlation degree between each preset medical consumable and each other preset medical consumable, and the target usage level corresponding to each other preset medical consumable, determining the local fluctuation influence value between each preset medical consumable and each other preset medical consumable may include the following steps: First, determine any one preset medical consumable as the marked consumable, and determine any one preset medical consumable other than the above-mentioned marked consumable among all preset medical consumables as the reference consumable.

[0048] Next, normalize the target usage level corresponding to the reference consumable to obtain the target level index corresponding to the reference consumable.

[0049] Finally, normalize the product of the target level index corresponding to the reference consumable and the target correlation degree between it and the marked consumable to obtain the local fluctuation influence value between the marked consumable and the reference consumable.

[0050] For example, the formula for determining the local fluctuation influence value between the marked consumable and the reference consumable can be: ; Wherein, W is the local fluctuation influence value between the marked consumable and the reference consumable. is the normalization function. xL is the target usage level corresponding to the reference consumable. is the maximum value among the target usage levels corresponding to all preset medical consumables. is the target level index corresponding to the reference consumable. Q is the target correlation degree between the marked consumable and the reference consumable.

[0051] It should be noted that when Q is larger, it often indicates that there is more likely a certain correlation between the marked consumable and the reference consumable during use. When is larger, it often indicates that the reference consumable is more likely to be a high-level medical consumable. Therefore, when W is larger, it often indicates that the reference consumable is more likely to be a medical consumable with a relatively large correlation degree with the marked consumable, and it often indicates that the reference consumable has a greater impact on the normal wear and tear fluctuation of the marked consumable.

[0052] The second sub-step is to determine the other normal fluctuation impact factors corresponding to each preset medical consumable according to the local fluctuation impact value between each preset medical consumable and all other preset medical consumables, the usage amount of other preset medical consumables in the current time period, and the target usage level corresponding to each preset medical consumable.

[0053] For example, the formula for determining the other normal fluctuation impact factor corresponding to a preset medical consumable can be: ; Wherein, is the other normal fluctuation impact factor corresponding to the i th preset medical consumable. i and j are the type numbers of different preset medical consumables. is the target usage level corresponding to the i th preset medical consumable. N is the number of types of preset medical consumables. is the usage amount of the j th preset medical consumable in the current time period. is the local fluctuation impact value between the i th preset medical consumable and the j th preset medical consumable.

[0054] It should be noted that when is larger, it often means that the j th preset medical consumable is more likely to be a medical consumable with a relatively large degree of association with the i th preset medical consumable, and the usage quantity of the j th preset medical consumable is more; it often means that the j th preset medical consumable has a greater impact on the normal loss fluctuation of the i th preset medical consumable. When is smaller, it often means that the i th preset medical consumable is more likely to be a low-level medical consumable, and it often means that the normal usage quantity of the i th preset medical consumable fluctuates more during the actual operation of different surgeries. Therefore, when is larger, it often means that the normal usage quantity of the i th preset medical consumable fluctuates more during the actual operation of different surgeries.

[0055] The fifth step, according to the usage amount of each preset medical consumable in the current time period, and the other normal fluctuation impact factors corresponding to each preset medical consumable, determining the abnormal loss amount corresponding to each preset medical consumable may include the following sub-steps: The first sub-step is to determine the corrected weight corresponding to each preset medical consumable according to the other normal fluctuation influencing factors corresponding to each preset medical consumable.

[0056] The second sub-step is to determine the abnormal loss amount corresponding to each preset medical consumable by multiplying the usage amount of each preset medical consumable in the current time period by its corresponding corrected weight.

[0057] For example, the formula for determining the abnormal loss amount corresponding to a preset medical consumable can be: ; Where is the abnormal loss amount corresponding to the i th preset medical consumable. i is the type number of the preset medical consumable. is the i th usage amount of the preset medical consumable in the current time period. is the i th other normal fluctuation influencing factor corresponding to the preset medical consumable. is the maximum value among the other normal fluctuation influencing factors corresponding to all preset medical consumables. is the i th corrected weight corresponding to the preset medical consumable.

[0058] It should be noted that when is larger, it often indicates that the normal usage quantity fluctuation of the i th preset medical consumable during the actual operation of different surgeries is larger, which often indicates that the loss of the i th preset medical consumable often includes normal loss quantity fluctuations, and it often indicates that normal loss fluctuations should be removed more when detecting abnormal losses. Therefore, can represent the abnormal loss value of the i th preset medical consumable after excluding normal fluctuations in the current time period.

[0059] The consumption anomaly index determination module 103 is used to determine the consumption anomaly index corresponding to each preset medical consumable according to the target correlation degree between each preset medical consumable and other preset medical consumables, and the usage conditions of each preset medical consumable and other preset medical consumables in the current time period and historical time periods.

[0060] As an example, determining the consumption anomaly index corresponding to each preset medical consumable may include the following steps: The first step is to determine the candidate ratio value between each preset medical consumable and each other preset medical consumable by taking the ratio of the usage amounts of each preset medical consumable and each other preset medical consumable in the current time period.

[0061] In the second step, the ratio of the usage amounts of each preset medical consumable to each other preset medical consumable within the historical time period is determined as the overall representative proportion value between each preset medical consumable and each other preset medical consumable.

[0062] In the third step, according to the candidate proportion value, the overall representative proportion value, and the target correlation degree between each preset medical consumable and other preset medical consumables, the consumption anomaly index corresponding to each preset medical consumable is determined.

[0063] For example, the formula for determining the consumption anomaly index corresponding to the preset medical consumable can be: ; where is the consumption anomaly index corresponding to the i th preset medical consumable. i and j are the type numbers of different preset medical consumables. N is the number of types of preset medical consumables. is the absolute value function. is the usage amount of the i th preset medical consumable within the current time period. is the usage amount of the j th preset medical consumable within the current time period. is the usage amount of the i th preset medical consumable within the historical time period. is the usage amount of the j th preset medical consumable within the historical time period. is the target correlation degree between the i th preset medical consumable and the j th preset medical consumable. is the candidate proportion value between the i th preset medical consumable and the j th preset medical consumable. is the overall representative proportion value between the i th preset medical consumable and the j th preset medical consumable.

[0064] It should be noted that when is larger, it often indicates that the first usage proportion and the second usage proportion are less similar, and it often indicates that the i th preset medical consumable is more likely to have abnormal consumption within the current time period. Among them, the first usage proportion is the usage proportion of the i th preset medical consumable and the j th preset medical consumable within the current time period, and the second usage proportion is the iThe usage ratio of the j th type of preset medical consumables within a historical time period. When is larger, it often indicates that there is a greater likelihood of a certain i th type of preset medical consumables being related to the j th type of preset medical consumables during use. Therefore, when is larger, it often indicates that the i th type of preset medical consumables is more likely to have abnormal consumption during the current time period.

[0065] The target abnormal index determination module 104 is used to determine the target abnormal index corresponding to each type of preset medical consumables based on the abnormal loss amount and consumption abnormal index corresponding to each type of preset medical consumables.

[0066] As an example, the formula for determining the target abnormal index corresponding to the preset medical consumables can be: ; where is the target abnormal index corresponding to the i th type of preset medical consumables. i is the type number of the preset medical consumables. is the normalization function. is the consumption abnormal index corresponding to the i th type of preset medical consumables. is the abnormal loss amount corresponding to the i th type of preset medical consumables.

[0067] It should be noted that can represent the abnormal loss value of the i th type of preset medical consumables after excluding normal fluctuations during the current time period. When is larger, it often indicates that the i th type of preset medical consumables is more likely to have abnormal consumption during the current time period. Therefore, when is larger, it often indicates that the i th type of preset medical consumables is more likely to have abnormal consumption during the current time period.

[0068] The abnormal loss judgment module 105 is used to judge whether there is abnormal loss of each type of preset medical consumables during the current time period based on the target abnormal index corresponding to each type of preset medical consumables, thereby realizing the traceability management of medical consumables.

[0069] As an example, if the target abnormal index corresponding to the preset medical consumables is greater than the preset abnormal threshold, it is determined that there is abnormal loss of the preset medical consumables during the current time period, and the corresponding personnel can be notified for investigation, thereby realizing the traceability management of medical consumables.

[0070] Optionally, a whole-process traceability management system for medical consumables can also implement the following steps: In the first step, based on the current time period, construct an overall reference time period, and divide the overall reference time period with the duration of the current time period as the division duration to obtain target time periods.

[0071] Among them, the last target time period can be the current time period.

[0072] For example, if the current time period is May 2025, the overall reference time period can include: December 2024, January 2025, February 2025, March 2025, April 2025, and May 2025. At this time, there can be 6 target time periods, which are in turn: December 2024, January 2025, February 2025, March 2025, April 2025, and May 2025.

[0073] In the second step, determine any one of the preset medical consumables as the marked consumable, and determine the difference between the usage amount of the marked consumable in each target time period and its previous target time period as the usage increment of the marked consumable in each target time period.

[0074] For example, the formula for determining the usage increment of the marked consumable in the target time period can be: ; Among them, is the usage increment of the marked consumable in the a th target time period. a is the serial number of the target time period. is the usage amount of the marked consumable in the a th target time period. is the usage amount of the marked consumable in the a -1th target time period.

[0075] It should be noted that when is larger, it often means that the usage amount of the marked consumable in the a th target time period is more likely to increase compared to the previous target time period.

[0076] In the third step, if the usage increment of the marked consumable in the target time period is greater than 0, then determine this target time period as the reference increasing time period.

[0077] In the fourth step, construct a temporary time period group based on the current time period and the prediction time period.

[0078] Among them, the prediction time period can be the next time period of the current time period. For example, if the current time period is May 2025, the prediction time period can be June 2025. The two time periods in the temporary time period group can be two adjacent time periods, and the stages corresponding to the two time periods in the temporary time period group are the same as the stages corresponding to the current time period and the prediction time period respectively. The time periods within the temporary time period group are often time periods that have passed. The number of temporary time period groups can be a preset number, which can be 5.

[0079] For example, if the current time period is May 2025 and the prediction time period is June 2025, 3 temporary time period groups can be constructed. These 3 temporary time period groups can be, in sequence: {May 2022, June 2022}, {May 2023, June 2023}, and {May 2024, June 2024}.

[0080] Step 5, determine the usage increment of the marking consumable under each temporary time period group as the difference between the usage amounts of the marking consumable within the two time periods of each temporary time period group.

[0081] For example, if a certain temporary time period group is {May 2022, June 2022}, the usage increment of the marking consumable under this temporary time period group can be: the difference between the usage amount of the marking consumable in June 2022 and its usage amount in May 2022.

[0082] Step 6, determine the degree of increase in the loss amount of the marking consumable under the prediction time period according to the number of reference increasing time periods, the difference between the usage amounts of the marking consumable within the last target time period and the first target time period, and the average value of the usage increments of the marking consumable under all temporary time period groups.

[0083] For example, the formula for determining the degree of increase in the loss amount of the marking consumable under the prediction time period can be: ; Among them, Y is the degree of increase in the loss amount of the marking consumable under the prediction time period. is the normalization function. T is the number of reference increasing time periods. is the usage amount of the marking consumable within the last target time period. is the usage amount of the marking consumable within the first target time period. is the average value of the usage increments of the marking consumable under all temporary time period groups.

[0084] It should be noted that when T is larger, it often indicates that the usage amounts of the marking consumable in many time periods in the near future show an increasing trend, and it often indicates that the loss amount of the marking consumable under the prediction time period is more likely to show an increasing trend. When When it is larger, it often indicates that the usage amount of the marking consumables is more likely to show an increasing trend in the recent period, and it often indicates that the loss amount of the marking consumables is more likely to show an increasing trend in the predicted time period. When When it is larger, it often indicates that the usage amount of the marking consumables in the same stage of the predicted time period as the past time period is more likely to show an increasing trend compared to the previous time period. Therefore, when Y When it is larger, it often indicates that the usage amount of the marking consumables in the predicted time period is more likely to be higher than its usage amount in the current time period.

[0085] Step 7: Obtain the predicted usage amount of the marking consumables in the predicted time period according to the increasing degree of the loss amount of the marking consumables in the predicted time period and the usage amount of the marking consumables in the current time period.

[0086] For example, the formula for determining the predicted usage amount of the marking consumables in the predicted time period can be: ; Wherein, is the predicted usage amount of the marking consumables in the predicted time period. S is the usage amount of the marking consumables in the current time period. Y is the increasing degree of the loss amount of the marking consumables in the predicted time period.

[0087] It should be noted that when Y When it is larger, it often indicates that the usage amount of the marking consumables in the predicted time period is more likely to be higher than its usage amount in the current time period. Therefore, can represent the possible usage amount of the marking consumables in the predicted time period.

[0088] Step 8: Adjusting the time interval for purchasing the marking consumables according to the predicted usage amount of the marking consumables in the predicted time period may include the following sub-steps: The first sub-step: Determine the degree of early purchase of the marking consumables in the predicted time period according to the predicted usage amount of the marking consumables in the predicted time period, the target usage level corresponding to the marking consumables, and the difference between the predicted usage amount of the marking consumables in the predicted time period and the current inventory amount corresponding to the marking consumables.

[0089] Wherein, the current inventory amount corresponding to the marking consumables may be the inventory amount of the marking consumables at the end of the current time period.

[0090] For example, the formula for determining the degree of early purchase of the marking consumables in the predicted time period can be: ; Wherein, D is the degree of early purchase of the marking consumables in the predicted time period. is a normalization function. is the predicted usage of the marking consumable during the prediction period. f is the current inventory of the corresponding marking consumable. L is the target usage level of the corresponding marking consumable.

[0091] It should be noted that can characterize the possible usage of the marking consumable during the prediction period. The larger its value is, the more it often indicates that the marking consumable needs to be replenished as soon as possible. When is larger, it often indicates that the inventory of the marking consumable is consumed relatively more, and it often indicates that the marking consumable needs to be replenished as soon as possible. When L is smaller, it often indicates that the marking consumable is more likely to be a low-level medical consumable. Therefore, when D is larger, it often indicates that the marking consumable needs to be replenished as soon as possible.

[0092] The second sub-step is to adjust the preset restocking time interval according to the early restocking degree of the marking consumable during the prediction period to obtain the adjusted time interval corresponding to the marking consumable.

[0093] Among them, the preset restocking time interval can be a pre-set restocking time interval, which can be 1 week.

[0094] For example, the formula for determining the adjusted time interval corresponding to the marking consumable can be: ; Among them, is the adjusted time interval corresponding to the marking consumable. t is the preset restocking time interval. D is the early restocking degree of the marking consumable during the prediction period.

[0095] It should be noted that when D is larger, it often indicates that the marking consumable needs to be replenished as soon as possible, and it often indicates that the restocking interval of the marking consumable should be adjusted smaller. Therefore, can characterize the current restocking interval required for the marking consumable.

[0096] By adjusting the purchase time interval, the supply-demand balance of medical consumables can be ensured to a certain extent, and the situations of excessive storage or insufficient use of medical consumables can be avoided to a certain extent. Through the consumption records of consumables in the medical system, the whole process traceability of various medical consumables can be realized, and the corresponding statistical data can be obtained. Through the above operations, the accuracy of the traceability data of different consumable usage statistical data transmitted to the central processing unit is inferred, the possible misreporting situations of consumable usage are judged, and the appropriate purchase time interval of the consumables is analyzed to obtain the adjusted time intervals corresponding to different consumables. The obtained data can be transmitted to the database for storage correspondingly.

[0097] Reference Figure 2 , the present invention provides a whole-process traceability management method for medical consumables, including the following steps: Step S1, based on the consumption situations of every two preset medical consumables in the historical time period, determine the target correlation degree between every two preset medical consumables.

[0098] Step S2, according to the usage amounts of different preset medical consumables in the current time period, and the target correlation degree between each preset medical consumable and other preset medical consumables, determine the abnormal loss amount corresponding to each preset medical consumable.

[0099] Step S3, according to the target correlation degree between each preset medical consumable and other preset medical consumables, and the usage situations of each preset medical consumable and other preset medical consumables in the current time period and the historical time period, determine the consumption abnormal index corresponding to each preset medical consumable.

[0100] Step S4, according to the abnormal loss amount and the consumption abnormal index corresponding to each preset medical consumable, determine the target abnormal index corresponding to each preset medical consumable.

[0101] Step S5, based on the target abnormal index corresponding to each preset medical consumable, judge whether there is abnormal loss of each preset medical consumable in the current time period, thereby realizing the traceability management of medical consumables.

[0102] Figure 3 is a schematic structural diagram of a computer device provided by an embodiment of the present invention. Exemplarily, as Figure 3 shown, the computer device 300 includes: a memory 301, a processor 302, and a computer program 303 stored in the memory 301 and running on the processor 302. Among them, when the processor 302 executes the computer program 303, the computer device can execute a whole-process traceability management method for medical consumables introduced above.

[0103] Based on the same inventive concept as the above method embodiments, the present invention provides a server, comprising a memory and a processor. The memory is used for storing executable program codes, and the processor is used for calling and running the executable program codes from the memory, so that the device executes the above method for the whole-process traceability management of medical consumables.

[0104] Based on the same inventive concept as the above method embodiments, the present invention provides a computer program product, which comprises: computer program codes, when the computer program codes run on a computer, enabling the computer to execute the above method for the whole-process traceability management of medical consumables.

[0105] Based on the same inventive concept as the above method embodiments, the present invention provides a computer-readable storage medium, which stores computer program codes, when the computer program codes run on a computer, enabling the computer to execute the above method for the whole-process traceability management of medical consumables.

[0106] In summary, the present invention analyzes the usage and consumption situations of different preset medical consumables in the current time period and historical time periods, quantifies a plurality of features related to the abnormal loss of medical consumables, such as the target correlation degree between different preset medical consumables, the abnormal loss amount, the consumption abnormality index, and the target abnormality index, and determines whether there is an abnormal loss of each preset medical consumable in the current time period based on the target abnormality index corresponding to each preset medical consumable, thereby improving the accuracy of the detection of the abnormal loss of medical consumables, and further improving the rationality of the traceability management of medical consumables.

[0107] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A full-process traceability management system for medical consumables, characterized in that, The system includes: An association degree determination module, configured to determine the target association degree between every two preset medical consumables based on the consumption conditions of every two preset medical consumables in a historical time period; An abnormal loss amount determination module, configured to determine the abnormal loss amount corresponding to each preset medical consumable according to the usage amount of different preset medical consumables in the current time period and the target association degree between each preset medical consumable and other preset medical consumables; A consumption abnormal index determination module, configured to determine the consumption abnormal index corresponding to each preset medical consumable according to the target association degree between each preset medical consumable and other preset medical consumables, and the usage conditions of each preset medical consumable and other preset medical consumables in the current time period and the historical time period; A target abnormal index determination module, configured to determine the target abnormal index corresponding to each preset medical consumable according to the abnormal loss amount and the consumption abnormal index corresponding to each preset medical consumable; An abnormal loss judgment module, configured to determine whether there is an abnormal loss of each preset medical consumable in the current time period based on the target abnormal index corresponding to each preset medical consumable, thereby realizing the traceability management of medical consumables.

2. The whole-process traceability management system for medical consumables according to claim 1, wherein, The determining the target association degree between every two preset medical consumables based on the consumption conditions of every two preset medical consumables in a historical time period includes: Determining any one of the preset medical consumables as a marked consumable, and determining any one of the preset medical consumables except the marked consumable among all the preset medical consumables as a reference consumable; Determining the surgeries that use both the marked consumable and the reference consumable in the historical time period as marked surgeries; Determining the ratio of the quantity of the marked consumable used in each marked surgery to the quantity of the reference consumable used as the target ratio corresponding to each marked surgery; Forming the same target ratios among the target ratios corresponding to all the marked surgeries into a target ratio group, and determining the quantity of the target ratios in each target ratio group as the target proportion quantity; Determining the target order index according to the usage order of the marked consumable and the reference consumable in all the marked surgeries; Determining the target association degree between the marked consumable and the reference consumable according to the maximum target proportion quantity, the quantity of the marked surgeries, and the target order index.

3. The whole-process traceability management system for medical consumables according to claim 2, characterized in that The determining the target order index according to the usage order of the marked consumable and the reference consumable in all the marked surgeries includes: Determining the earliest moment when the marked consumable is used in each marked surgery as the marked moment corresponding to each marked surgery, and determining the earliest moment when the reference consumable is used in each marked surgery as the reference moment corresponding to each marked surgery; If the marked moment corresponding to the marked surgery is earlier than its corresponding reference moment, determining the marked surgery as a first-order surgery; If the marked moment corresponding to the marked surgery is later than its corresponding reference moment, determining the marked surgery as a second-order surgery; If the marked moment corresponding to the marked surgery is equal to its corresponding reference moment, determining the marked surgery as a third-order surgery; Determining the target order index according to the maximum value among the quantity of the first-order surgeries, the quantity of the second-order surgeries, and the quantity of the third-order surgeries.

4. A full-process traceability management system for medical consumables according to claim 1, characterized in that, Determining the abnormal loss amount corresponding to each preset medical consumable according to the usage amount of different preset medical consumables in the current time period and the target correlation degree between each preset medical consumable and other preset medical consumables, includes: The usage amounts of each preset medical consumable in all surgeries within the historical time period are used to form a usage amount set corresponding to each preset medical consumable; Round up the average value of all usage amounts in the usage amount set corresponding to each preset medical consumable to obtain the representative surgery usage quantity corresponding to each preset medical consumable; Determine the target usage level corresponding to each preset medical consumable according to the representative surgery usage quantity corresponding to each preset medical consumable; Determine the other normal fluctuation influence factors corresponding to each preset medical consumable according to the target correlation degree between each preset medical consumable and other preset medical consumables and the target usage levels corresponding to other preset medical consumables; Determine the abnormal loss amount corresponding to each preset medical consumable according to the usage amount of each preset medical consumable in the current time period and the other normal fluctuation influence factors corresponding to each preset medical consumable.

5. The whole-process traceability management system for medical consumables according to claim 4, wherein The determining of the other normal fluctuation influence factors corresponding to each preset medical consumable according to the target correlation degree between each preset medical consumable and other preset medical consumables and the target usage levels corresponding to other preset medical consumables, includes: Determine the local fluctuation influence value between each preset medical consumable and each other preset medical consumable according to the target correlation degree between each preset medical consumable and each other preset medical consumable and the target usage levels corresponding to each other preset medical consumable; Determine the other normal fluctuation influence factors corresponding to each preset medical consumable according to the local fluctuation influence values between each preset medical consumable and all other preset medical consumables, the usage amounts of other preset medical consumables in the current time period, and the target usage levels corresponding to each preset medical consumable.

6. The whole-process traceability management system for medical consumables according to claim 5, wherein, The determining of the local fluctuation influence value between each preset medical consumable and each other preset medical consumable according to the target correlation degree between each preset medical consumable and each other preset medical consumable and the target usage levels corresponding to each other preset medical consumable, includes: Determine any one preset medical consumable as the marked consumable, and determine any one preset medical consumable other than the marked consumable among all preset medical consumables as the reference consumable; Normalize the target usage level corresponding to the reference consumable to obtain the target level index corresponding to the reference consumable; Normalize the product of the target level index corresponding to the reference consumable and the target correlation degree between it and the marked consumable to obtain the local fluctuation influence value between the marked consumable and the reference consumable.

7. A full-process traceability management system for medical consumables according to claim 4, characterized in that, The determining of the abnormal loss amount corresponding to each preset medical consumable according to the usage amount of each preset medical consumable in the current time period and the other normal fluctuation influence factors corresponding to each preset medical consumable, includes: Determine the correction weight corresponding to each preset medical consumable according to the other normal fluctuation influence factors corresponding to each preset medical consumable; Multiply the usage amount of each preset medical consumable in the current time period by its corresponding correction weight, and determine the abnormal loss amount corresponding to each preset medical consumable.

8. The whole-process traceability management system for medical consumables according to claim 1, characterized in that The method for determining the consumption abnormal index corresponding to each preset medical consumable according to the target correlation degree between each preset medical consumable and other preset medical consumables, and the usage conditions of each preset medical consumable and other preset medical consumables in the current time period and historical time periods includes: Determine the candidate ratio value between each preset medical consumable and each other preset medical consumable as the ratio of the usage amounts of each preset medical consumable and each other preset medical consumable in the current time period; Determine the overall representative ratio value between each preset medical consumable and each other preset medical consumable as the ratio of the usage amounts of each preset medical consumable and each other preset medical consumable in the historical time period; Determine the consumption abnormal index corresponding to each preset medical consumable according to the candidate ratio value, overall representative ratio value and target correlation degree between each preset medical consumable and other preset medical consumables.

9. The whole-process traceability management system for medical consumables according to claim 4, characterized in that The steps implemented by the system further include: Based on the current time period, construct an overall reference time period, and divide the overall reference time period with the duration of the current time period as the segmentation duration to obtain target time periods, where the last target time period is the current time period; Determine any one preset medical consumable as the marked consumable, and determine the usage increment of the marked consumable in each target time period as the difference between the usage amounts of the marked consumable in each target time period and its previous target time period; If the usage increment of the marked consumable in the target time period is greater than 0, then determine this target time period as the reference increasing time period; Based on the current time period and the prediction time period, construct a temporary time period group, where the two time periods in the temporary time period group are adjacent time periods, and the stages corresponding to the two time periods in the temporary time period group are the same as the stages corresponding to the current time period and the prediction time period respectively; Determine the usage increment of the marked consumable in each temporary time period group as the difference between the usage amounts of the marked consumable in the two time periods in each temporary time period group; Determine the degree of increase in the loss amount of the marked consumable in the prediction time period according to the number of reference increasing time periods, the difference between the usage amounts of the marked consumable in the last target time period and the first target time period, and the average value of the usage increments of the marked consumable in all temporary time period groups; Obtain the predicted usage amount of the marked consumable in the prediction time period according to the degree of increase in the loss amount of the marked consumable in the prediction time period and the usage amount of the marked consumable in the current time period; Adjust the time interval for purchasing the marked consumable according to the predicted usage amount of the marked consumable in the prediction time period.

10. The whole-process traceability management system for medical consumables according to claim 9, characterized in that, The adjustment of the time interval for purchasing the marked consumable according to the predicted usage amount of the marked consumable in the prediction time period includes: Determine the degree of early purchase of the marked consumable in the prediction time period according to the predicted usage amount of the marked consumable in the prediction time period, the target usage level corresponding to the marked consumable, and the difference between the predicted usage amount of the marked consumable in the prediction time period and the current inventory amount corresponding to the marked consumable; Adjust the preset restocking time interval according to the degree of early restocking of the marking consumables in the predicted time period to obtain the adjusted time interval corresponding to the marking consumables.

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