A medical consumable whole-process traceability management system

Abstract

The application relates to the technical field of medical resource management, in particular to a medical consumable whole-process traceability management system. The system can realize the following steps through mutual cooperation between multiple modules: determining a target correlation degree between each two kinds of preset medical consumables based on the consumption conditions of the medical consumables in a historical time period; determining an abnormal loss amount and a consumption abnormality index corresponding to each kind of preset medical consumable; determining a target abnormality index corresponding to each kind of preset medical consumable according to the abnormal loss amount and the consumption abnormality index corresponding to each kind of preset medical consumable; and judging whether each kind of preset medical consumable has abnormal loss in a current time period based on the target abnormality index corresponding to each kind of preset medical consumable, so that traceability management of the medical consumables is realized. The application improves the accuracy of abnormal loss detection of the medical consumables, thereby improving the rationality of traceability management of the medical consumables.

Description

Technical Field

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

[0002] Traceability monitoring of medical consumables loss is crucial for medical institutions. It can accurately track the actual use of consumables and, to a certain extent, avoid inventory waste and abnormal loss. This monitoring can strengthen cost control, prevent the misuse or loss of consumables, and ultimately achieve refined management and rational resource allocation. Currently, the commonly used method for detecting abnormal loss of medical consumables is to detect abnormal loss of medical consumables based on the difference in medical consumable consumption between the current month and the previous month. In other words, the greater the difference in medical consumable consumption between the current month and the previous month, the more abnormal loss of medical consumables will occur during the use of medical consumables in that month.

[0003] However, when detecting abnormal consumption of medical consumables based on the difference in consumption between the current month and the previous month, the following technical problems often arise:

[0004] During the actual operation of the surgery, the loss of some medical consumables is often not fixed, and there will often be certain fluctuations in the normal loss quantity. For example, even the quantity of the same medical consumables used each time for the same surgery may be different, and the difference in medical consumables consumption between the current month and the previous month often includes the normal loss quantity fluctuations of some medical consumables. Therefore, when abnormal loss detection of medical consumables is performed directly based on the difference in medical consumables consumption between the current month and the previous month, the accuracy of abnormal loss detection of medical consumables may be poor, thereby resulting in poor rationality of medical consumables traceability management. Summary of the Invention

[0005] In order to solve the technical problem of poor rationality of medical consumables traceability management due to poor accuracy of abnormal loss detection of medical consumables, the present invention proposes a full-process traceability management system for medical consumables.

[0006] In a first aspect, the present invention provides a full-process traceability management system for medical consumables, the system comprising:

[0007] A correlation degree determination module is used to determine a target correlation degree between each two preset medical consumables based on the consumption of each two preset medical consumables in a historical time period;

[0008] The abnormal loss amount determination module is used 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;

[0009] The consumption abnormality indicator determination module is used to determine the consumption abnormality indicator corresponding to each preset medical consumable based on the target correlation degree between each preset medical consumable and other preset medical consumables, as well as the usage of each preset medical consumable and other preset medical consumables in the current time period and the historical time period;

[0010] A target abnormality index determination module is used to determine the target abnormality index corresponding to each preset medical consumable according to the abnormal loss amount and consumption abnormality index corresponding to each preset medical consumable;

[0011] The abnormal loss judgment module is used to judge whether each preset medical consumable has abnormal loss in the current time period based on the target abnormal index corresponding to each preset medical consumable, thereby realizing traceability management of medical consumables.

[0012] In conjunction with the first aspect above, in one possible implementation, determining the target correlation between each two preset medical consumables based on the consumption of each two preset medical consumables within a historical time period includes:

[0013] Determine any one of the preset medical consumables as a marked consumable, and determine any one of all the preset medical consumables except the marked consumable as a reference consumable;

[0014] Determine the surgeries that used both the marked consumables and the reference consumables during the historical time period as marked surgeries;

[0015] The ratio of the amount of marking consumables used in each marking operation to the amount of reference consumables used is determined as a target ratio corresponding to each marking operation;

[0016] The same target ratios among the target ratios corresponding to all the marked surgeries are formed into a target ratio group, and the number of target ratios in each target ratio group is determined as the target ratio number;

[0017] Determine the target sequence indicator based on the order in which the marking consumables and reference consumables are used in all marking operations;

[0018] The degree of target association between the marked consumables and the reference consumables was determined based on the largest number of target ratios, the number of marked surgeries, and the target order index.

[0019] In combination with the first aspect above, in a possible implementation, determining the target sequence indicator based on the usage order of the marking consumables and the reference consumables in all marking surgeries includes:

[0020] The earliest time when the marking consumables are used in each marking operation is determined as the marking time corresponding to each marking operation, and the earliest time when the reference consumables are used in each marking operation is determined as the reference time corresponding to each marking operation;

[0021] If the marked time corresponding to the marked operation is earlier than its corresponding reference time, the marked operation is determined as the first-order operation;

[0022] If the marked time corresponding to the marked operation is later than its corresponding reference time, the marked operation is determined as the second-order operation;

[0023] If the marked time corresponding to the marked operation is equal to its corresponding reference time, the marked operation is determined as the third-order operation;

[0024] The target sequence index is determined according to the maximum value among the number of first-sequence surgeries, the number of second-sequence surgeries, and the number of third-sequence surgeries.

[0025] In combination with the first aspect above, in one possible implementation, determining the abnormal loss amount corresponding to each preset medical consumable based on the usage 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:

[0026] The usage amount of each preset medical consumable in all surgeries within a historical period is used to form a usage set corresponding to each preset medical consumable;

[0027] Round up the mean of all usage amounts in the usage set corresponding to each preset medical consumable to obtain the representative number of surgical usage corresponding to each preset medical consumable;

[0028] Determine the target usage level for each preset medical consumable based on the representative number of surgical procedures for each preset medical consumable;

[0029] Determine other normal fluctuation influencing factors corresponding to each preset medical consumable based on the target correlation degree between each preset medical consumable and other preset medical consumables, as well as the target usage levels corresponding to other preset medical consumables;

[0030] Based on the usage of each preset medical consumable in the current time period and other normal fluctuation influencing factors corresponding to each preset medical consumable, the abnormal loss amount corresponding to each preset medical consumable is determined.

[0031] In combination with the first aspect above, in one possible implementation, determining other normal fluctuation influencing factors corresponding to each preset medical consumable based on 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, includes:

[0032] Determine the local fluctuation impact value between each preset medical consumable and each other preset medical consumable based on 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;

[0033] Determine other normal fluctuation impact factors corresponding to each preset medical consumable based on the local fluctuation impact value between each preset medical consumable and all other preset medical consumables, the usage of other preset medical consumables in the current time period, and the target usage level corresponding to each preset medical consumable.

[0034] In combination with the first aspect above, in one possible implementation, determining the local fluctuation impact value between each preset medical consumable and each other preset medical consumable based on 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:

[0035] Determine any one of the preset medical consumables as a marked consumable, and determine any one of all the preset medical consumables except the marked consumable as a reference consumable;

[0036] Normalizing the target usage level corresponding to the reference consumables to obtain the target level indicator corresponding to the reference consumables;

[0037] The product of the target level index corresponding to the reference consumable and the target correlation degree between the reference consumable and the marked consumable is normalized to obtain the local fluctuation impact value between the marked consumable and the reference consumable.

[0038] In combination with the first aspect above, in one possible implementation, determining the abnormal loss amount corresponding to each preset medical consumable based on the usage amount of each preset medical consumable in the current time period and other normal fluctuation influencing factors corresponding to each preset medical consumable includes:

[0039] Determine the correction weight corresponding to each preset medical consumable based on other normal fluctuation influencing factors corresponding to each preset medical consumable;

[0040] The product of the usage of each preset medical consumable in the current time period and its corresponding correction weight is determined as the abnormal loss amount corresponding to each preset medical consumable.

[0041] In combination with the first aspect above, in one possible implementation, determining the consumption abnormality indicator corresponding to each preset medical consumable based on the target correlation degree between each preset medical consumable and other preset medical consumables, and the usage of each preset medical consumable and other preset medical consumables in the current time period and the historical time period includes:

[0042] Determine the ratio of the usage of each preset medical consumable to that of each other preset medical consumable in the current time period as a candidate ratio value between each preset medical consumable and each other preset medical consumable;

[0043] The ratio of the usage of each preset medical consumable to that of each other preset medical consumable in the historical time period is determined as the overall representative ratio value between each preset medical consumable and each other preset medical consumable;

[0044] Based on the candidate ratio value, overall representative ratio value and target correlation degree between each preset medical consumable and other preset medical consumables, the consumption abnormality index corresponding to each preset medical consumable is determined.

[0045] In combination with the first aspect above, in one possible implementation, the system further includes:

[0046] Based on the current time period, an overall reference time period is constructed, and the overall reference time period is divided into target time periods using the current time period as the segmentation length. The last target time period is the current time period.

[0047] Determine any preset medical consumable as a marked consumable, and determine the difference between the usage of the marked consumable in each target period and its previous target period as the usage increment of the marked consumable in each target period;

[0048] If the usage increment of the marking consumables in the target period is greater than 0, the target period is determined as the reference increment period;

[0049] Based on the current time period and the predicted time period, a temporary time period group is constructed, wherein the two time periods in the temporary time period group are adjacent to each other, and the phases corresponding to the two time periods in the temporary time period group are the same as the phases corresponding to the current time period and the predicted time period respectively;

[0050] Determine the difference between the usage of the marking consumables in two time periods in each temporary time period group as the usage increment of the marking consumables in each temporary time period group;

[0051] Determine the extent of increase in the amount of wastage of the marking consumables in the forecast period based on the number of reference incremental periods, the difference between the usage of the marking consumables in the last target period and the first target period, and the average of the usage increments of the marking consumables in all temporary period groups;

[0052] Obtaining a predicted usage of the marking consumables in the predicted time period according to an increase in the loss of the marking consumables in the predicted time period and the usage of the marking consumables in the current time period;

[0053] Adjust the time interval for purchasing marking consumables based on the predicted usage of marking consumables in the forecast time period.

[0054] In conjunction with the first aspect above, in a possible implementation, adjusting the time interval for purchasing marking consumables according to the predicted usage of the marking consumables in the predicted time period includes:

[0055] Determining the degree of early purchase of the marking consumables during the forecast period based on the forecast usage of the marking consumables during the forecast period, the target usage level corresponding to the marking consumables, and the difference between the forecast usage of the marking consumables during the forecast period and the current inventory level corresponding to the marking consumables;

[0056] According to the advance degree of purchase of the marking consumables in the predicted time period, the preset purchase time interval is adjusted to obtain an adjusted time interval corresponding to the marking consumables.

[0057] In a second aspect, the present invention provides a full-process traceability management system for medical consumables, which implements the steps of a full-process traceability management method for medical consumables, the method comprising:

[0058] Determine the target correlation degree between each two preset medical consumables based on the consumption of each two preset medical consumables in a historical time period;

[0059] Determine the abnormal loss amount corresponding to each preset medical consumable based on the usage 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;

[0060] Determine the consumption abnormality indicator corresponding to each preset medical consumable based on the target correlation degree between each preset medical consumable and other preset medical consumables, as well as the usage of each preset medical consumable and other preset medical consumables in the current time period and historical time period;

[0061] Determine the target abnormality index corresponding to each preset medical consumable based on the abnormal loss amount and consumption abnormality index corresponding to each preset medical consumable;

[0062] Based on the target abnormal indicators corresponding to each preset medical consumable, it is determined whether each preset medical consumable has abnormal loss in the current time period, thereby realizing the traceability management of medical consumables.

[0063] In a third aspect, a server is provided, comprising a memory and a processor. The memory is configured to store executable program code, and the processor is configured 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.

[0064] In a fourth aspect, a computer program product is provided, which includes: computer program code, which, when running on a computer, enables the computer to execute the above-mentioned full-process traceability management method for medical consumables.

[0065] In a fifth aspect, a computer-readable storage medium is provided, which stores a computer program code. When the computer program code runs on a computer, the computer executes the above-mentioned full-process traceability management method for medical consumables.

[0066] The present invention has the following beneficial effects:

[0067] The present invention provides a full-process traceability management system for medical consumables, which solves the technical problem of poor rationality of medical consumables traceability management due to poor accuracy of abnormal loss detection of medical consumables, improves the accuracy of abnormal loss detection of medical consumables, and thus improves the rationality of medical consumables traceability management. Specifically, the present invention quantifies multiple features related to abnormal loss of medical consumables by analyzing the usage and consumption of different preset medical consumables in the current time period and the historical time period, such as the target correlation degree, abnormal loss amount, consumption abnormality index and target abnormality index between different preset medical consumables, and based on the target abnormality index corresponding to each preset medical consumable, determines whether each preset medical consumable has abnormal loss in the current time period, thereby improving the accuracy of abnormal loss detection of medical consumables and further improving the rationality of medical consumables traceability management. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0069] Figure 1 This is a schematic structural diagram of a full-process traceability management system for medical consumables according to the present invention;

[0070] Figure 2 This is a flow chart of a full-process traceability management method for medical consumables of the present invention;

[0071] Figure 3 The figure is a structural diagram of a computer device of the present invention. DETAILED DESCRIPTION

[0072] To further illustrate the technical means and effects employed by the present invention to achieve its intended objectives, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementations, structures, features, and effects of the technical solutions proposed by the present invention. In the following description, references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0073] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0074] refer to Figure 1 , 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:

[0075] The correlation degree determination module 101 is configured to determine a target correlation degree between each two preset medical consumables based on the consumption of each two preset medical consumables within a historical time period.

[0076] 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 in which abnormal consumption of medical consumables is to be detected. Abnormal consumption of medical consumables can include, but is not limited to, abnormal consumption caused by errors in medical consumable consumption records and abnormal consumption caused by surgical abnormalities. In practice, abnormal consumption of medical consumables within each month is often detected at the end of each month. Therefore, the duration corresponding to the current time period can be one month. The duration corresponding to the historical time period can be one year. For example, the current time period can be May 2025. The historical time period can be the period between May 2024 and April 2025. Different preset medical consumables can be different pre-set medical consumables. Medical consumables can include, but are not limited to, steel plates, bone screws, self-breaking plugs, and hemostatic gauze.

[0077] It should be noted that the usage of various medical consumables during surgery is often related to each other. For example, bone screws, self-breaking screw plugs, and hemostatic gauze are often used when using steel plates. The changes in the number of bone screws and self-breaking screws are consistent with the changes in the number of steel plates used. The use of hemostatic gauze in different surgeries will vary based on the changes in the number of steel plates used. Therefore, the usage of bone screws, self-breaking screw plugs, and hemostatic gauze is often related to the use of steel plates, but the usage correlation between different medical consumables and the same medical consumable is often different.

[0078] As an example, determining the target correlation degree between each two preset medical consumables may include the following steps:

[0079] In the first step, any one of the preset medical consumables is determined as a marked consumable, and any one of the preset medical consumables except the marked consumables is determined as a reference consumable among all the preset medical consumables.

[0080] In the second step, surgeries that used both marked consumables and reference consumables during the above historical time period were identified as marked surgeries.

[0081] In the third step, the ratio of the amount of marking consumables used in each marking operation to the amount of reference consumables used is determined as the target ratio corresponding to each marking operation.

[0082] In the fourth step, the same target ratios among the target ratios corresponding to all the marked surgeries are combined into a target ratio group, and the number of target ratios in each target ratio group is determined as the target ratio number.

[0083] The fifth step is to determine the target sequence indicator based on the order in which the marking consumables and reference consumables are used in all marking operations, which can include the following sub-steps:

[0084] In the first sub-step, the earliest time when the marking consumables are used in each marking operation is determined as the marking time corresponding to each marking operation, and the earliest time when the reference consumables are used in each marking operation is determined as the reference time corresponding to each marking operation.

[0085] In the second sub-step, if the marked time corresponding to the marked operation is earlier than its corresponding reference time, the marked operation is determined as the first-order operation.

[0086] In the third sub-step, if the marked time corresponding to the marked operation is later than its corresponding reference time, the marked operation is determined as the second-order operation.

[0087] In the fourth sub-step, if the marked time corresponding to the marked operation is equal to its corresponding reference time, the marked operation is determined as the third sequence operation.

[0088] The fifth sub-step is to determine the target sequence index according to the maximum value among the number of first-sequence surgeries, the number of second-sequence surgeries, and the number of third-sequence surgeries.

[0089] In the sixth step, the degree of target association between the marked consumables and the reference consumables was determined based on the largest number of target proportions, the number of marked surgeries, and the target order index.

[0090] For example, the formula for determining the target correlation degree between the marked consumable and the reference consumable can be:

[0091] ;

[0092] in, Q is the target degree of correlation between the marked consumable and the reference consumable. is the normalization function. n is the number of marked surgeries. is the maximum target ratio number. It 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 indicator.

[0093] It should be noted that when n The larger the value is, the more surgeries that used both the marked consumables and the reference consumables during the historical period, which often indicates that there is a high probability that there is a certain correlation between the marked consumables and the reference consumables during use. The larger the value is, the more likely it is that the usage ratio of the marking consumables and the reference consumables in more surgeries is relatively fixed, and the more likely it is that there is a certain correlation between the marking consumables and the reference consumables during use. The larger the value, the more fixed the order of use of the marking consumables and the reference consumables in more surgeries, and the more likely there is a certain correlation between the marking consumables and the reference consumables during use. Q The larger the value is, the more likely it is that there is a certain correlation between the marked consumables and the reference consumables during use.

[0094] The abnormal loss amount determination module 102 is used to determine the abnormal loss amount corresponding to each preset medical consumable based on the usage 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.

[0095] The preset usage of medical consumables in the current time period refers to the amount of medical consumables used in the current time period.

[0096] As an example, determining the abnormal loss amount corresponding to each preset medical consumable may include the following steps:

[0097] In the first step, the usage of each preset medical consumable in all surgeries within a historical time period is combined to form a usage set corresponding to each preset medical consumable.

[0098] The usage set corresponding to the preset medical consumables may include: the usage of the preset medical consumables in various surgeries within a historical time period.

[0099] In the second step, the mean of all usage amounts in the usage set corresponding to each preset medical consumable is rounded up to obtain the representative number of surgical usage corresponding to each preset medical consumable.

[0100] The third step is to determine the target usage level for each preset medical consumable based on the representative number of surgical uses corresponding to each preset medical consumable.

[0101] For example, any preset medical consumable is determined as a marked consumable, and the formula for determining the target usage level corresponding to the marked consumable can be:

[0102] ;

[0103] in, L It is the target usage level corresponding to the marked consumables. A It is the representative quantity of surgical usage corresponding to the marked consumables.

[0104] It should be noted that in actual situations, the higher the level of medical consumables, the less they are used in a single operation, and the lower the level of medical consumables, the more they are used in a single operation. For example, the number of high-level medical consumables such as orthopedic plates used in a single operation is often less than the number of low-level medical consumables such as hemostatic gauze used in a single operation. L The larger the value, the more likely the marked consumables are high-grade medical consumables.

[0105] The fourth step is to determine other normal fluctuation influencing factors corresponding to each preset medical consumable based on the target correlation degree between each preset medical consumable and other preset medical consumables, as well as the target usage levels corresponding to other preset medical consumables, which may include the following sub-steps:

[0106] The first sub-step, based on 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 impact value between each preset medical consumable and each other preset medical consumable may include the following steps:

[0107] First, any one of the preset medical consumables is determined as a marked consumable, and any one of the preset medical consumables except the marked consumable among all the preset medical consumables is determined as a reference consumable.

[0108] Next, the target usage level corresponding to the reference consumables is normalized to obtain a target level indicator corresponding to the reference consumables.

[0109] Finally, the product of the target level index corresponding to the reference consumable and the target correlation degree between it and the marked consumable is normalized to obtain the local fluctuation impact value between the marked consumable and the reference consumable.

[0110] For example, the formula for determining the local fluctuation impact value between the marking consumable and the reference consumable can be:

[0111] ;

[0112] in, W It is the local fluctuation between the marked consumable and the reference consumable that affects the value. is the normalization function. xL is the target usage level corresponding to the reference consumable. It is the maximum value among the target usage levels corresponding to all preset medical consumables. It is the target level indicator corresponding to the reference consumables. Q is the target degree of correlation between the marked consumable and the reference consumable.

[0113] It should be noted that when Q The larger the value is, the more likely it is that there is a certain correlation between the marking consumables and the reference consumables during use. The larger the value is, the more likely the reference consumables are to be high-grade medical consumables. W The larger the value, the more likely the reference consumable is to be a medical consumable that is highly correlated with the marked consumable, and the greater the impact of the reference consumable on the normal loss fluctuation of the marked consumable.

[0114] The second sub-step is to determine other normal fluctuation impact factors corresponding to each preset medical consumable based on the local fluctuation impact value between each preset medical consumable and all other preset medical consumables, the usage of other preset medical consumables in the current time period, and the target usage level corresponding to each preset medical consumable.

[0115] For example, the formula for determining other normal fluctuation influencing factors corresponding to preset medical consumables can be:

[0116] ;

[0117] in, It isi Other normal fluctuation influencing factors corresponding to the preset medical consumables. i and j It is the type number of different preset medical consumables. It is i The target usage levels for the preset medical consumables are as follows: N It is the number of preset medical consumables. It is j The usage of preset medical consumables in the current time period. It is i Preset medical consumables and j Local fluctuations between preset medical consumables affect the value.

[0118] It should be noted that when The larger the j The more likely the preset medical consumables are to be i A kind of medical consumables with a high degree of correlation with the preset medical consumables, and the first j The more the number of preset medical consumables is used, the more likely it is that j Preset medical consumables for the first i The greater the impact of normal loss fluctuations of preset medical consumables. The smaller the time, the more likely it is that i The more likely the preset medical consumables are low-level medical consumables, the more likely they are to be low-level medical consumables. i The greater the fluctuation of the normal usage quantity of the preset medical consumables in the actual operation of different surgeries. The larger the i The greater the fluctuation in the normal usage quantity of the preset medical consumables during the actual operation of different surgeries.

[0119] The fifth step is to determine the abnormal loss amount corresponding to each preset medical consumable based on the usage of each preset medical consumable in the current time period and other normal fluctuation influencing factors corresponding to each preset medical consumable, which may include the following sub-steps:

[0120] The first sub-step is to determine the correction weight corresponding to each preset medical consumable according to other normal fluctuation influencing factors corresponding to each preset medical consumable.

[0121] In the second sub-step, the product of the usage of each preset medical consumable in the current time period and its corresponding correction weight is determined as the abnormal loss amount corresponding to each preset medical consumable.

[0122] For example, the formula for determining the abnormal loss amount corresponding to the preset medical consumables can be:

[0123] ;

[0124] in, It is i The abnormal loss amount corresponding to the preset medical consumables. i It is the type of preset medical consumables. It is i The usage of preset medical consumables in the current time period. It is i Other normal fluctuation influencing factors corresponding to the preset medical consumables. It is the maximum value among other normal fluctuation influencing factors corresponding to all preset medical consumables. It is i The correction weights corresponding to the preset medical consumables.

[0125] It should be noted that when The larger the i The greater the fluctuation in the normal usage of a preset medical consumable during the actual operation of different surgeries, the greater the fluctuation in the normal usage of the preset medical consumables during the actual operation of different surgeries. i The loss of these preset medical consumables often includes normal loss fluctuations, which often means that normal loss fluctuations should be removed when performing abnormal loss detection. Can characterize the i The abnormal loss value of preset medical consumables after excluding normal fluctuations in the current time period.

[0126] The consumption abnormality indicator determination module 103 is used to determine the consumption abnormality indicator corresponding to each preset medical consumable based on the target correlation degree between each preset medical consumable and other preset medical consumables, and the usage of each preset medical consumable and other preset medical consumables in the current time period and the historical time period.

[0127] As an example, determining the consumption abnormality indicator corresponding to each preset medical consumable may include the following steps:

[0128] In the first step, the usage ratio of each preset medical consumable to each other preset medical consumable in the current time period is determined as a candidate ratio value between each preset medical consumable and each other preset medical consumable.

[0129] In the second step, the usage ratio of each preset medical consumable to each other preset medical consumable in the historical time period is determined as the overall representative ratio value between each preset medical consumable and each other preset medical consumable.

[0130] The third step is to determine the consumption abnormality index corresponding to each preset medical consumable based on the candidate ratio value, overall representative ratio value and target correlation degree between each preset medical consumable and other preset medical consumables.

[0131] For example, the formula for determining the consumption abnormality index corresponding to the preset medical consumables may be:

[0132] ;

[0133] in, It is i The system can also set consumption abnormality indicators corresponding to preset medical consumables. i and j It is the type number of different preset medical consumables. N It is the number of preset medical consumables. It is the absolute value function. It is i The usage of preset medical consumables in the current time period. It is j The usage of preset medical consumables in the current time period. It is i The usage of preset medical consumables in a historical period. It is j The usage of preset medical consumables in a historical period. It is i Preset medical consumables and j The target correlation degree between the preset medical consumables. It is i Preset medical consumables and j Candidate ratio values ​​between preset medical consumables. It is i Preset medical consumables and j The overall representative ratio value between the preset medical consumables.

[0134] It should be noted that when When the value is larger, it often means that the first usage ratio is more different from the second usage ratio, and it often means that the i The more likely the type of preset medical consumables is to have abnormal consumption in the current time period, among which the first usage ratio is the i Preset medical consumables and j The first preset usage ratio of medical consumables in the current time period, the second usage ratio is i Preset medical consumables and j The usage ratio of the preset medical consumables in the historical time period. The larger the i Preset medical consumables and j The more likely it is that there is a certain correlation between the types of preset medical consumables during use. The larger the iThe more types of preset medical consumables are likely to have abnormal consumption in the current time period.

[0135] The target abnormality index determination module 104 is used to determine the target abnormality index corresponding to each preset medical consumable according to the abnormal loss amount and consumption abnormality index corresponding to each preset medical consumable.

[0136] As an example, the formula for determining the target abnormality index corresponding to the preset medical consumables may be:

[0137] ;

[0138] in, It is i Target abnormal indicators corresponding to preset medical consumables. i It is the type of preset medical consumables. is the normalization function. It is i The system can also set consumption abnormality indicators corresponding to preset medical consumables. It is i The abnormal loss amount corresponding to the preset medical consumables.

[0139] It should be noted that Can characterize the i This is the abnormal loss value of medical consumables after excluding normal fluctuations in the current time period. The larger the i The more preset medical consumables are, the more likely they are to have abnormal consumption in the current time period. The larger the i The more types of preset medical consumables are likely to have abnormal consumption in the current time period.

[0140] The abnormal loss judgment module 105 is used to judge whether each preset medical consumable has abnormal loss in the current time period based on the target abnormal index corresponding to each preset medical consumable, thereby realizing traceability management of medical consumables.

[0141] As an example, if the target abnormality index corresponding to the preset medical consumables is greater than the preset abnormality threshold, it is determined that the preset medical consumables have abnormal loss within the current time period, and the corresponding personnel can be notified to conduct an investigation, thereby realizing traceability management of medical consumables.

[0142] Optionally, a full-process traceability management system for medical consumables can also implement the following steps:

[0143] The first step is to construct an overall reference time period based on the current time period, and use the duration of the current time period as the segmentation duration to segment the overall reference time period to obtain the target time period.

[0144] The last target period may be the current time period.

[0145] For example, if the current time period is May 2025, the overall reference time period may 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: December 2024, January 2025, February 2025, March 2025, April 2025 and May 2025.

[0146] In the second step, any preset medical consumable is determined as a marked consumable, and the difference between the usage of the marked consumable in each target period and its previous target period is determined as the usage increment of the marked consumable in each target period.

[0147] For example, the formula for determining the usage increment of marking consumables in the target period can be:

[0148] ;

[0149] in, Is the marking consumables a The usage increment under the target period. a is the sequence number of the target period. Is the marking consumables a Usage during the target period. Is the marking consumables a - Usage within 1 target period.

[0150] It should be noted that when The larger the size, the more likely it is that the marking consumables are a The more likely the usage in a target period is to increase compared to the previous target period.

[0151] In the third step, if the usage increment of the marking consumables in the target period is greater than 0, the target period is determined as a reference incremental period.

[0152] The fourth step is to build a temporary time period group based on the current time period and the forecast time period.

[0153] The predicted time period may be the period following the current time period. For example, if the current time period is May 2025, the predicted time period may be June 2025. The two time periods in a temporary time period group may be adjacent time periods, and the phases corresponding to the two time periods in the temporary time period group are the same as the phases corresponding to the current time period and the predicted time period, respectively. The time periods in a temporary time period group are often past time periods. The number of temporary time period groups may be a preset number, which may be 5.

[0154] For example, if the current time period is May 2025 and the predicted time period is June 2025, three temporary time period groups can be constructed, and these three temporary time period groups can be: {May 2022, June 2022}, {May 2023, June 2023} and {May 2024, June 2024} respectively.

[0155] In the fifth step, the difference between the usage of the marking consumables in two time periods in each temporary time period group is determined as the usage increment of the marking consumables in each temporary time period group.

[0156] For example, if a temporary time period group is {May 2022, June 2022}, the usage increment of the marking consumables under the temporary time period group can be: the difference between the usage of the marking consumables in June 2022 and its usage in May 2022.

[0157] In the sixth step, the degree of increase in the loss of marking consumables in the predicted time period is determined based on the number of reference incremental time periods, the difference between the usage of marking consumables in the last target period and the first target period, and the average of the usage increments of marking consumables in all temporary time period groups.

[0158] For example, the formula for determining the degree of increase in the loss of marking consumables in the predicted time period may be:

[0159] ;

[0160] in, Y It is the degree of increase in the loss of marking consumables in the predicted time period. is the normalization function. T is the number of reference increment periods. is the amount of marking supplies used in the last target period. is the amount of marking supplies used in the first target period. It is the mean of the usage increments of the marked consumables under all temporary period groups.

[0161] It should be noted that when T The larger the value is, the more likely it is that the usage of marking consumables has increased in recent periods, and the more likely it is that the loss of marking consumables in the predicted time period will increase. The larger the value is, the more likely it is that the recent usage of marking consumables will show an increasing trend, and the more likely it is that the loss of marking consumables in the predicted time period will show an increasing trend. The larger the value is, the more likely it is that the usage of marking consumables in the same period of the forecast period in the past is to show an increasing trend compared with the previous period.Y The larger the value is, the more likely it is that the usage of the marking consumables in the predicted time period is higher than its usage in the current time period.

[0162] In the seventh step, a predicted usage of the marking consumables in the predicted time period is obtained according to the increase in the loss of the marking consumables in the predicted time period and the usage of the marking consumables in the current time period.

[0163] For example, the formula for determining the predicted usage of marking consumables in the predicted time period may be:

[0164] ;

[0165] in, It is the predicted usage of the marking consumables in the forecast period. S It indicates the usage of the marked consumables in the current time period. Y It is the degree of increase in the loss of marking consumables in the predicted time period.

[0166] It should be noted that when Y The larger the value is, the more likely it is that the usage of marking consumables in the forecast period will be higher than that in the current period. The likely usage of marking consumables over a forecast period can be characterized.

[0167] Step 8, adjusting the time interval for purchasing marking consumables based on the predicted usage of marking consumables in the forecast time period, may include the following sub-steps:

[0168] The first sub-step is to determine the degree of advance purchase of marking consumables during the forecast time period based on the forecast usage of marking consumables during the forecast time period, the target usage level corresponding to the marking consumables, and the difference between the forecast usage of marking consumables during the forecast time period and the current inventory corresponding to the marking consumables.

[0169] The current inventory quantity corresponding to the marking consumables may be the inventory quantity of the marking consumables at the end of the current time period.

[0170] For example, the formula for determining the degree of early purchase of marking consumables in the forecast period can be:

[0171] ;

[0172] in, D It is the degree of advance purchase of marking consumables in the forecast period. is the normalization function. It is the predicted usage of the marking consumables in the forecast period. f It is the current inventory quantity corresponding to the marked consumables.L It is the target usage level corresponding to the marked consumables.

[0173] It should be noted that It can represent the possible usage of marking consumables in the forecast period. The larger the value, the more likely it is that the marking consumables need to be replenished as soon as possible. The larger the value is, the more the inventory of marking consumables is consumed, which often means that the marking consumables need to be replenished as soon as possible. L The smaller the value, the more likely the marked consumables are to be low-grade medical consumables. D The larger the value, the more likely it is that marking supplies need to be replenished sooner.

[0174] In the second sub-step, the preset purchase time interval is adjusted according to the advance degree of purchase of the marking consumables in the predicted time period to obtain an adjusted time interval corresponding to the marking consumables.

[0175] The preset purchase time interval may be a preset purchase time interval, which may be 1 week.

[0176] For example, the formula for determining the adjusted time interval corresponding to the marking consumable may be:

[0177] ;

[0178] in, is the adjusted time interval corresponding to the marking consumables. t It is the preset time interval for restocking. D It is the degree of advance purchase of marking consumables in the forecast period.

[0179] It should be noted that when D The larger the value, the more urgent it is to replenish the marking consumables, and the shorter the purchase interval of marking consumables should be. The current required restocking interval for marking consumables can be characterized.

[0180] By adjusting the time interval for purchasing, the supply and demand balance of medical consumables can be guaranteed to a certain extent, and the occurrence of excessive storage or insufficient use of medical consumables can be avoided to a certain extent. Through the consumables usage records in the medical system, the full process of various medical consumables can be traced and the corresponding statistical data can be obtained. Through the above operations, the accuracy of the traceability data of different consumables usage statistics transmitted to the central processor can be inferred, possible false alarms of consumables usage can be judged, and the time interval for purchasing consumables can be analyzed to obtain the adjusted time intervals corresponding to different consumables. The obtained data can be transmitted to the database for storage.

[0181] refer to Figure 2 The present invention provides a full-process traceability management method for medical consumables, comprising the following steps:

[0182] Step S1: determining a target correlation degree between each two preset medical consumables based on the consumption of each two preset medical consumables in a historical time period.

[0183] Step S2: Determine the abnormal loss amount corresponding to each preset medical consumable according to the usage 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.

[0184] Step S3, determining the consumption abnormality index corresponding to each preset medical consumable based on the target correlation degree between each preset medical consumable and other preset medical consumables, and the usage of each preset medical consumable and other preset medical consumables in the current time period and the historical time period.

[0185] Step S4: determining a target abnormality index corresponding to each preset medical consumable according to the abnormal loss amount and abnormal consumption index corresponding to each preset medical consumable.

[0186] Step S5, based on the target abnormality index corresponding to each preset medical consumable, it is determined whether each preset medical consumable has abnormal loss in the current time period, thereby realizing traceability management of medical consumables.

[0187] Figure 3 FIG. 1 is a schematic diagram of the structure of a computer device provided by an embodiment of the present invention. For example, Figure 3 As 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, wherein when the processor 302 executes the computer program 303, the computer device can execute a full-process traceability management method for medical consumables introduced above.

[0188] Based on the same inventive concept as the above-mentioned method embodiment, the present invention provides a server comprising 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 implements the above-mentioned full-process traceability management method for medical consumables.

[0189] Based on the same inventive concept as the above-mentioned method embodiment, the present invention provides a computer program product, which includes: computer program code, which, when running on a computer, enables the computer to execute the above-mentioned full-process traceability management method for medical consumables.

[0190] Based on the same inventive concept as the above method embodiments, the present application provides a computer readable storage medium storing computer program code, which, when executed on a computer, causes the computer to perform the above medical consumable full-process traceability management method.

[0191] To sum up, the present application quantifies a plurality of features related to abnormal consumption of medical consumables, such as target correlation degree between different preset medical consumables, abnormal consumption amount, consumption abnormality index and target abnormality index, by analyzing the use and consumption of different preset medical consumables in the current time period and the historical time period, and determines whether each preset medical consumable has abnormal consumption 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 abnormal consumption of medical consumables, and further improving the rationality of the traceability management of medical consumables.

[0192] The above embodiments are only used to illustrate the technical solutions of the present application, but not to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part 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 application, and should be included in the protection scope of the present application.

Claims

1. A full-process traceability management system for medical consumables, characterized by: The system comprises: A correlation degree determination module is configured to determine a target correlation degree between each two preset medical consumables based on the consumption of each two preset medical consumables within a historical time period; the target correlation degree is determined by a target ratio, the number of marked surgeries, and a target sequence index; wherein the marked surgeries are surgeries that use both marked consumables and reference consumables; the target ratio represents the usage ratio of the marked consumables and the reference consumables in the marked surgeries; the target sequence index represents the usage sequence of the marked consumables and the reference consumables; and the marked consumables and the reference consumables are different preset medical consumables. The formula corresponding to the target association degree is: ； in, Q is the degree of target association between the marked consumable and the reference consumable; is the normalization function; n is the number of labeled surgeries; is the maximum target ratio number; is the maximum of the number of first-order surgeries, the number of second-order surgeries, and the number of third-order surgeries; is the target sequence indicator; the first-order surgery, the second-order surgery, and the third-order surgery are surgeries in which the order of use of the marked consumables and the reference consumables is different; An abnormal loss amount determination module is used to determine the abnormal loss amount corresponding to each preset medical consumable based on the usage 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; the abnormal loss amount is determined by the usage of the preset medical consumables in the current time period and other normal fluctuation influencing factors corresponding to the preset medical consumables; wherein the other normal fluctuation influencing factors corresponding to the preset medical consumables represent the fluctuation of the normal usage quantity of the preset medical consumables during the actual operation of different surgeries; The formula corresponding to the abnormal loss is: ； in, It is i The abnormal loss amount corresponding to the preset medical consumables; i It is the type number of the preset medical consumables; It is i The usage of preset medical consumables in the current time period; It is i Other normal fluctuation influencing factors corresponding to the preset medical consumables; It is the maximum value among other normal fluctuation influencing factors corresponding to all preset medical consumables; The consumption abnormality indicator determination module is used to determine the consumption abnormality indicator corresponding to each preset medical consumable based on the target correlation degree between each preset medical consumable and other preset medical consumables, as well as the usage of each preset medical consumable and other preset medical consumables in the current time period and the historical time period; A target abnormality index determination module is used to determine the target abnormality index corresponding to each preset medical consumable according to the abnormal loss amount and consumption abnormality index corresponding to each preset medical consumable; The abnormal loss judgment module is used to judge whether each preset medical consumable has abnormal loss in the current time period based on the target abnormal index corresponding to each preset medical consumable, thereby realizing traceability management of medical consumables.

2. A full-process traceability management system for medical consumables according to claim 1, characterized in that: The determining of the target correlation degree between each two preset medical consumables based on the consumption of each two preset medical consumables within a historical time period includes: Determine any one of the preset medical consumables as a marked consumable, and determine any one of all the preset medical consumables except the marked consumable as a reference consumable; Determine the surgeries that used both the marked consumables and the reference consumables during the historical time period as marked surgeries; The ratio of the amount of marking consumables used in each marking operation to the amount of reference consumables used is determined as a target ratio corresponding to each marking operation; The same target ratios among the target ratios corresponding to all the marked surgeries are formed into a target ratio group, and the number of target ratios in each target ratio group is determined as the target ratio number; Determine the target sequence indicator based on the order in which the marking consumables and reference consumables are used in all marking operations; The degree of target association between the marked consumables and the reference consumables was determined based on the largest number of target ratios, the number of marked surgeries, and the target order index.

3. A full-process traceability management system for medical consumables according to claim 2, characterized in that: The target sequence index is determined based on the usage sequence of the marking consumables and the reference consumables in all marking operations, including: The earliest time when the marking consumables are used in each marking operation is determined as the marking time corresponding to each marking operation, and the earliest time when the reference consumables are used in each marking operation is determined as the reference time corresponding to each marking operation; If the marked time corresponding to the marked operation is earlier than its corresponding reference time, the marked operation is determined as the first-order operation; If the marked time corresponding to the marked operation is later than its corresponding reference time, the marked operation is determined as the second-order operation; If the marked time corresponding to the marked operation is equal to its corresponding reference time, the marked operation is determined as the third-order operation; The target sequence index is determined according to the maximum value among the number of first-sequence surgeries, the number of second-sequence surgeries, and the number of third-sequence surgeries.

4. A full-process traceability management system for medical consumables according to claim 1, characterized in that: The determining of 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 amount of each preset medical consumable in all surgeries within a historical period is used to form a usage set corresponding to each preset medical consumable; Round up the mean of all usage amounts in the usage set corresponding to each preset medical consumable to obtain the representative number of surgical usage corresponding to each preset medical consumable; Determine the target usage level for each preset medical consumable based on the representative number of surgical procedures for each preset medical consumable; Determine other normal fluctuation influencing factors corresponding to each preset medical consumable based on the target correlation degree between each preset medical consumable and other preset medical consumables, as well as the target usage levels corresponding to other preset medical consumables; Based on the usage of each preset medical consumable in the current time period and other normal fluctuation influencing factors corresponding to each preset medical consumable, the abnormal loss amount corresponding to each preset medical consumable is determined.

5. A full-process traceability management system for medical consumables according to claim 4, characterized in that: Determining other normal fluctuation influencing factors corresponding to each preset medical consumable based on 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 impact value between each preset medical consumable and each other preset medical consumable based on 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; Determine other normal fluctuation impact factors corresponding to each preset medical consumable based on the local fluctuation impact value between each preset medical consumable and all other preset medical consumables, the usage of other preset medical consumables in the current time period, and the target usage level corresponding to each preset medical consumable.

6. A full-process traceability management system for medical consumables according to claim 5, characterized in that: The determining of the local fluctuation impact value between each preset medical consumable and each other preset medical consumable based on 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 of the preset medical consumables as a marked consumable, and determine any one of all the preset medical consumables except the marked consumable as a reference consumable; Normalizing the target usage level corresponding to the reference consumables to obtain the target level indicator corresponding to the reference consumables; The product of the target level index corresponding to the reference consumable and the target correlation degree between the reference consumable and the marked consumable is normalized to obtain the local fluctuation impact 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: Determining the abnormal loss amount corresponding to each preset medical consumable based on the usage amount of each preset medical consumable in the current time period and other normal fluctuation influencing factors corresponding to each preset medical consumable includes: Determine the correction weight corresponding to each preset medical consumable based on other normal fluctuation influencing factors corresponding to each preset medical consumable; The product of the usage of each preset medical consumable in the current time period and its corresponding correction weight is determined as the abnormal loss amount corresponding to each preset medical consumable.

8. The full-process traceability management system for medical consumables according to claim 1 is characterized in that: The determination of the consumption abnormality indicator corresponding to each preset medical consumable based on the target correlation degree between each preset medical consumable and other preset medical consumables, and the usage of each preset medical consumable and other preset medical consumables in the current time period and the historical time period, includes: Determine the ratio of the usage of each preset medical consumable to that of each other preset medical consumable in the current time period as a candidate ratio value between each preset medical consumable and each other preset medical consumable; The ratio of the usage of each preset medical consumable to that of each other preset medical consumable in the historical time period is determined as the overall representative ratio value between each preset medical consumable and each other preset medical consumable; Based on the candidate ratio value, overall representative ratio value and target correlation degree between each preset medical consumable and other preset medical consumables, the consumption abnormality index corresponding to each preset medical consumable is determined.

9. A full-process traceability management system for medical consumables according to claim 4, characterized in that: The steps for implementing the system also include: Based on the current time period, an overall reference time period is constructed, and the overall reference time period is divided into target time periods using the current time period as the segmentation length. The last target time period is the current time period. Determine any preset medical consumable as a marked consumable, and determine the difference between the usage of the marked consumable in each target period and its previous target period as the usage increment of the marked consumable in each target period; If the usage increment of the marking consumables in the target period is greater than 0, the target period is determined as the reference increment period; Based on the current time period and the predicted time period, a temporary time period group is constructed, wherein the two time periods in the temporary time period group are adjacent to each other, and the phases corresponding to the two time periods in the temporary time period group are the same as the phases corresponding to the current time period and the predicted time period respectively; Determine the difference between the usage of the marking consumables in two time periods in each temporary time period group as the usage increment of the marking consumables in each temporary time period group; Determine the extent of increase in the amount of wastage of the marking consumables in the forecast period based on the number of reference incremental periods, the difference between the usage of the marking consumables in the last target period and the first target period, and the average of the usage increments of the marking consumables in all temporary period groups; Obtaining a predicted usage of the marking consumables in the predicted time period according to an increase in the loss of the marking consumables in the predicted time period and the usage of the marking consumables in the current time period; Adjust the time interval for purchasing marking consumables based on the predicted usage of marking consumables in the forecast time period.

10. A full-process traceability management system for medical consumables according to claim 9, characterized in that: The adjusting the time interval for purchasing marking consumables according to the predicted usage of the marking consumables in the predicted time period includes: Determining the degree of early purchase of the marking consumables during the forecast period based on the forecast usage of the marking consumables during the forecast period, the target usage level corresponding to the marking consumables, and the difference between the forecast usage of the marking consumables during the forecast period and the current inventory level corresponding to the marking consumables; According to the advance degree of purchase of the marking consumables in the predicted time period, the preset purchase time interval is adjusted to obtain an adjusted time interval corresponding to the marking consumables.

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