A method and system for constructing an access index system for medical consumables

Abstract

The present application discloses a method and system for constructing a medical consumables access index system, which relates to the field of medical quality management. The method includes constructing a hierarchical structure of medical consumables access indexes according to the analytic hierarchy process, and obtaining initial access indexes according to the hierarchical structure; using the Delphi analysis method to obtain the access evaluation results and adjustment suggestions of each of the initial access indexes by the target index evaluation group; generating target access indexes according to the access evaluation results and the adjustment suggestions of all the initial access indexes; calculating the combined weights of all access indexes at each level in the target access indexes by using the analytic hierarchy process; and obtaining target access index rules according to the target access indexes at the lowest level of the hierarchical structure and the corresponding combined weights, so as to assist medical institutions in formulating a medical consumables access index system with high scientificity and high feasibility.

Description

Technical Field

[0001] This application relates to the field of medical quality management, and particularly to a method and system for constructing an access index system for medical consumables. Background Art

[0002] Medical consumables refer to consumable devices and materials used in the diagnosis, treatment, healthcare, rehabilitation and other medical processes. Reasonable selection and use of medical consumables are of great significance for improving medical quality and patient experience. With the development of technology, the types of medical consumables are increasing continuously. According to the medical insurance consumables catalog, the number of product specifications of medical consumables has reached more than 20 million in 2023. Establishing a scientific medical consumables access system to assist medical institutions in selecting suitable medical consumables from numerous medical consumable items is crucial.

[0003] Internationally, the access evaluation method for medical consumables mainly refers to the Health Technology Assessment (HTA) method. The HTA systematically sorts out multi-dimensional evidence such as safety, clinical effectiveness, economic evaluation, innovation, ethics, society, and law, and supports the formulation of relevant decisions such as allocation and procurement, budget formulation, rational use, payment pricing, and replacement. However, some indicators in the HTA need to complete scoring with the help of a large amount of literature evidence, which not only has the problem of weak implementability of the indicators, increasing the use difficulty of medical institutions, but also it is difficult for the evaluation personnel of medical institutions to complete the evaluation in a short time, and it is difficult to meet the requirements of medical institutions for rapid and efficient operation. Summary of the Invention

[0004] The purpose of the present invention is to solve the technical problem of how to assist medical institutions in constructing an access index system for medical consumables, and provides a method and system for constructing an access index system for medical consumables to assist medical institutions in completing the construction of the access index system for medical consumables and improving the efficiency and scientificity of the access decision-making for medical consumables in medical institutions.

[0005] According to the first aspect of the present invention, the present invention claims protection for a method for constructing an access index system for medical consumables, including:

[0006] Constructing a hierarchical structure of access indicators for medical consumables according to the analytic hierarchy process, and obtaining initial access indicators according to the hierarchical structure;

[0007] Obtaining the access evaluation results and adjustment suggestions of the target indicator evaluation group for each of the initial access indicators by using the Delphi analysis method; generating target access indicators according to the access evaluation results and the adjustment suggestions of all the initial access indicators;

[0008] Calculating the combined weights of all access indicators at each level in the target access indicators by using the analytic hierarchy process;

[0009] The target entry index rule is obtained according to the target entry index with the lowest hierarchy and the corresponding combined weight.

[0010] In an embodiment of the present application, the method further includes:

[0011] Taking the target entry index with the lowest hierarchy as the first candidate index;

[0012] Obtaining the first evaluation result of the target consumable for the first candidate index;

[0013] Matching the product category of the target consumable and the first candidate index to obtain the corresponding adaptability weight;

[0014] Calculating the verification result component according to the product of each first evaluation result, the corresponding adaptability weight and the corresponding combined weight;

[0015] Taking the parent index of the first candidate index as the second candidate index;

[0016] Calculating the corresponding verification result according to the sum of all the verification result components corresponding to each second candidate index;

[0017] Obtaining the second evaluation result of the target consumable for the second candidate index;

[0018] If there is a verification result whose distance from the second evaluation result is greater than the verification threshold, setting the verification result of the adaptability degree of the target consumable as failed.

[0019] In an embodiment of the present application, after the step of setting the verification result of the adaptability degree of the target consumable as failed, it further includes:

[0020] Taking the second candidate index corresponding to the verification result whose distance from the second evaluation result is greater than the verification threshold as the third candidate index;

[0021] Successively removing each first candidate index of the third candidate index to obtain the first reference index;

[0022] Calculating the corresponding reference weight according to the proportion of the combined weight of each first candidate index in the first reference index to the sum of the combined weights of all the first candidate indexes in the corresponding first reference index;

[0023] Taking all the reference weights corresponding to each first reference index as the new combined weight and calculating the reference verification result;

[0024] Taking the first reference index corresponding to the reference verification result whose distance from the second evaluation result is not greater than the verification threshold as the second reference index;

[0025] Compare the combined weights of the first candidate metrics corresponding to all the second reference metrics that are removed, increase the adaptation weight of the second reference metric corresponding to the minimum value, and decrease the combined weight of the first candidate metric corresponding to the minimum value.

[0026] In an embodiment of the present application, the method further includes: the sum of the total changes in all the increased adaptation weights is the same as the sum of the total changes in all the decreased adaptation weights, and the change amount of all the decreased adaptation weights is less than the preset initial value of the adaptation weight.

[0027] In an embodiment of the present application, after obtaining the second evaluation result of the target consumable for the second candidate metric, it further includes:

[0028] If the distances between all the verification results and the second evaluation result are all greater than the verification threshold, use the second candidate metric as the new first candidate metric, and return to execute the step of obtaining the first evaluation result of the target consumable for the first candidate metric until all hierarchical structures are traversed.

[0029] In an embodiment of the present application, the specific value of the verification threshold increases as the level corresponding to the first candidate metric increases.

[0030] According to the second aspect of the present invention, the present invention claims protection for a medical consumable access index system construction system, including:

[0031] A first acquisition module, which is used to construct a hierarchical structure of medical consumable access indexes according to the analytic hierarchy process, and obtain initial access indexes according to the hierarchical structure;

[0032] A second acquisition module, which is used to obtain the access evaluation results and adjustment suggestions of the target index evaluation group for each of the initial access indexes by using the Delphi analysis method;

[0033] A first generation module, which is used to generate target access indexes according to the access evaluation results and the adjustment suggestions of all the initial access indexes;

[0034] A first processing module, which is used to calculate the combined weights of all the access indexes at each level in the target access indexes by using the analytic hierarchy process;

[0035] A second generation module, which is used to obtain target access index rules according to the target access indexes at the lowest level of the hierarchical structure and the corresponding combined weights.

[0036] In an embodiment of the present application, the system further includes a second processing module, which is configured to use the target entry index with the lowest hierarchy as the first candidate index; obtain a first evaluation result of the target consumable at the first candidate index; match the product category of the target consumable and the first candidate index to obtain a corresponding adaptation weight; calculate a verification result component according to the product of each first evaluation result, the corresponding adaptation weight, and the corresponding combined weight; use the parent index of the first candidate index as the second candidate index; calculate a corresponding verification result according to the sum of all the verification result components corresponding to each second candidate index; obtain a second evaluation result of the target consumable at the second candidate index; if there is a verification result whose distance from the second evaluation result is greater than the verification threshold, set the adaptation degree verification result of the target consumable as failed.

[0037] In an embodiment of the present application, the second processing module further includes taking the second candidate index corresponding to the verification result whose distance from the second evaluation result is greater than the verification threshold as the third candidate index; sequentially removing each first candidate index of the third candidate index to obtain a first reference index; calculating a corresponding reference weight according to the proportion of the combined weight of each first candidate index in the first reference index in the sum of the combined weights of all first candidate indexes in the corresponding first reference index; using all the reference weights corresponding to each first reference index as the new combined weights to calculate a reference verification result; taking the first reference index corresponding to the reference verification result whose distance from the second evaluation result is not greater than the verification threshold as the second reference index; comparing the combined weights of the first candidate indexes corresponding to be removed for all second reference indexes, increasing the adaptation weight of the second reference index corresponding to the minimum value, and decreasing the combined weight of the first candidate index corresponding to the minimum value.

[0038] In an embodiment of the present application, the second processing module further includes that the sum of the change amounts of all increased adaptation weights is the same as the sum of the change amounts of all decreased adaptation weights, and the change amount of all decreased adaptation weights is less than the preset initial value of the adaptation weight.

[0039] In an embodiment of the present application, the second processing module further includes that if the distances between all the verification results and the second evaluation result are greater than the verification threshold, taking the second candidate index as the new first candidate index, and returning to execute the step of obtaining the first evaluation result of the target consumable at the first candidate index until all hierarchical structures are traversed.

[0040] In an embodiment of the present application, the second processing module further includes that the specific value of the verification threshold increases as the hierarchy corresponding to the first candidate index increases.

[0041] The present application has the following beneficial effects:

[0042] 1. The goal of the Delphi analysis method is to obtain high-quality responses from the target evaluation group, and through the iterative process of evaluation, modification, and determination by the target evaluation group, the target access indicators for medical consumables are obtained. The evaluation results of each round are fed back to the members of the target evaluation group, who can adjust and modify their opinions based on the feedback information. Through multiple rounds of feedback and correction, the opinions of the target evaluation group tend to converge, and the indicators in the medical consumable access system obtained in this way have high reliability and scientificity. The analytic hierarchy process decomposes the problem of medical consumable access affected by multiple factors into different hierarchical structures, and the weight of each hierarchical structure plan is judged through pairwise comparison, and the weight coefficients of all target access indicators obtained by the Delphi analysis method are characterized by the eigenvector method, so as to assist medical institutions in formulating a highly scientific and feasible medical consumable access indicator system.

[0043] 2. The evaluation criteria for different types of medical consumables vary under different indicators. For example, when evaluating the safety of implantable consumables, in addition to considering their chemical stability, their long-term performance also needs to be considered. If the long-term use effect of implantable consumable A is poor, its score in the access evaluation should be lower than that of other products under the same conditions. Therefore, based on the uniformly formulated access rules for medical consumables, this application further fine-tunes the weights of access indicators through the adaptation weight in an iterative update manner, so as to achieve targeted matching of appropriate access evaluation rules according to the product category of medical consumables. At the same time, this method can dynamically adjust the formulated access indicator rules to adapt to the speed of product replacement of medical consumables.

[0044] 3. Reduce the adverse impact of misoperations in the medical consumable access evaluation process on the access indicator rules. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The drawings herein are incorporated into the specification and form a part of this specification, showing embodiments consistent with the present disclosure, and are used together with the specification to explain the principles of the present disclosure.

[0046] Figure 1 It is a schematic flowchart of a method for constructing a medical consumable access indicator system according to an embodiment of the present application;

[0047] Figure 2 It is a schematic flowchart of a method for correcting target access indicator rules according to an embodiment of the present application;

[0048] Figure 3 It is a schematic structural diagram of a system for constructing a medical consumable access indicator system according to an embodiment of the present application;

[0049] Figure 4 It is a schematic structural diagram of an electronic device according to an embodiment of the present application. Specific Embodiments

[0050] The present invention provides a method and system for constructing a medical consumables access index system. To make the above objects, features, and advantages of the present application more apparent and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Usually, the components of the embodiments of the present application described and illustrated herein can be arranged and designed in various different configurations. Therefore, referring to terms such as "one embodiment", "some embodiments", "embodiment", "embodiment", "schematic embodiment", "example", "specific example", or "some examples", etc., the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the present application to be protected, but only represents that the specific features, structures, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. And the specific features, structures, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present application.

[0051] It should be noted that similar reference numerals and letters indicate similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of the present application, relational terms such as "first", "second", etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.

[0052] According to the first aspect of the present invention, the present invention claims a method for constructing a medical consumables access index system. Referring to the attached Figure 1 as shown, it includes:

[0053] S1: Construct the hierarchical structure of medical consumables access indicators according to the analytic hierarchy process.

[0054] It should be noted that the hierarchical structure includes a target layer (the highest layer), an index layer one (the first intermediate layer), an index layer two (the second intermediate layer), and a measure layer (the lowest layer). Among them, the target layer includes the establishment of a medical consumables access system; the index layer one includes the primary factors to be considered to achieve the expected effect, that is, the first-level access indicators in the target access indicators; the index layer two includes the factors to be considered that affect the index layer one, that is, the second-level access indicators in the target access indicators; the measure layer includes the factors to be considered to achieve the index layer two, that is, the third-level access indicators in the target access indicators.

[0055] S2: Obtain the initial access indicators according to the said hierarchical structure. The initial access indicators can be obtained by querying literature, national regulations, industry norms, access indicators of medical consumables of other medical institutions, etc.

[0056] In this embodiment, the first-level access indicators include clinical value, economic value, patient value, and management value, and of course, it is not limited thereto. The second-level access indicators include safety, effectiveness, suitability, economy, patient quality of life, or patient psychology and improvement of hospital service capabilities, and of course, it is not limited thereto. The third-level access indicators include occurrence of adverse events, clinical operation risks, contraindications, evidence-based medicine evidence, potential complications, impact on hospital infection management, achieving the expected clinical effect of the product, cure or remission of clinical symptoms, improvement of diagnostic speed or accuracy, shortening of operation time, reduction of reoperation rate or readmission rate, recovery of patient's daily ability (reduction of patient pain and trauma), recommendation by guidelines or industry associations, ease of operation, improvement of material or structural functions, low degree of invasion of consumables, applicability to special application scenarios (such as special populations, special diseases, or special parts), extension of the service life of consumables, irreplaceability due to the existence of supporting previous products, domestic substitutes, impact on the average cost per case, impact on the total cost of the entire course of treatment, additional resource investment (site investment or personnel investment), increase in the medical service volume or income involved in this project, extension of patient life or improvement of daily living ability, reduction of patient pain, patient recognition, promotion of the development of clinical disciplines, increase in the proportion of grade IV surgeries, and impact on hospital reputation, and of course, it is not limited thereto.

[0057] S3: Create a target indicator evaluation group. The target indicator evaluation group is used to construct the access indicator rules for medical consumables. The access indicator rules include several indicators and the correlation relationships between the indicators, and of course, it is not limited thereto. Add all the target evaluators to the target indicator evaluation group.

[0058] It should be noted that the target evaluators can be internal personnel of medical institutions, or other experts in the medical field, etc., or other feasible evaluators. This application does not further limit the selection method of the target evaluators.

[0059] S4: Calculate the target authority index of the target indicator evaluation group by using the Delphi analysis method.

[0060] It should be noted that in the Delphi analysis method, the higher the authority index, the higher the reliability of the evaluation results obtained by this indicator evaluation group. The authority index is calculated based on the mean of the familiarity degree and the judgment coefficient.

[0061] It should be noted that the familiarity level is used to describe the familiarity level of the target index evaluation group with the issue of formulating access indicators for medical consumables. It can be divided into 5 levels, including very familiar, relatively familiar, generally familiar, less familiar, and very unfamiliar, and scores of 1.0, 0.8, 0.6, 0.4, and 0.2 are assigned to each level in turn. Each of the target evaluators conducts a self-evaluation of their familiarity level with the issue of formulating access indicators for medical consumables. The average familiarity level of the target index evaluation group is calculated based on the self-evaluation results of all the target evaluators.

[0062] It should be noted that the judgment coefficient is used to describe the basis source of each target evaluator for the issue of formulating access indicators for medical consumables. It can be divided into 4 parts: practical scientific research experience, theoretical analysis, domestic and foreign literature, and subjective judgment. Each part can be set with 3 levels, including large, medium, and small, and scores are assigned to different levels of each part in turn. The judgment basis scoring rules shown in Table 1:

[0063]

[0064] Table 1 Example Table of Assignment for Judgment Basis

[0065] It should be noted that if the self-evaluation results of evaluator A in the above 4 parts are medium, large, medium, and small in turn, it means that evaluator A has relatively rich practical scientific research experience, corresponding to an assignment of 0.4, very in-depth theoretical analysis, corresponding to an assignment of 0.3, can cite a certain number of domestic and foreign relevant literatures, corresponding to an assignment of 0.1, and the judgment of the essence of the problem is general, corresponding to an assignment of 0.1. Therefore, the scoring result of evaluator A in the judgment basis is 0.4 + 0.3 + 0.1 + 0.1 = 0.9. The scoring result of the index evaluation group in the judgment basis is obtained based on the average value of the scoring results of all the target evaluators in the judgment basis.

[0066] S5: Compare the target authority index with the authority index threshold. If the target authority index is not less than the authority index threshold, set the authority verification result of the target index evaluation group to pass. If the target authority index is less than the authority index threshold, set the authority verification result of the target index evaluation group to fail, generate feedback information, and the feedback information is used to remind the user to adjust the members of the target index evaluation group, and return to step S3 to continue execution.

[0067] It should be noted that the specific value of the authority index threshold can be obtained through a pre-set method.

[0068] In this embodiment, the specific value of the authority index threshold is 0.7. When the calculated result of the authority index corresponding to the index evaluation group is not less than 0.7, the authority verification result of the target index evaluation group is set to pass, and step S7 is continued to be executed. When the calculated result of the authority index corresponding to the target index evaluation group is less than 0.7, the authority verification result of the target index evaluation group is set to fail. For the target index evaluation group that fails, the feedback information is generated.

[0069] It should be noted that the user can be the organizational personnel of the project for constructing the access index system of medical consumables this time, or other management personnel of the medical institution. The present application does not further limit the identity of the user who receives the feedback information.

[0070] S6: Obtain the access evaluation results and adjustment suggestions of the target index evaluation group for each initial access index by using the Delphi analysis method; generate the target access index according to the access evaluation results and the adjustment suggestions of all the initial access indexes.

[0071] It should be noted that the access evaluation result can be a scoring result or a classification result, such as a binary classification result of recommended inclusion or recommended non-inclusion.

[0072] In this embodiment, a preliminary evaluation questionnaire is generated according to the initial access index. The preliminary evaluation questionnaire includes items for obtaining whether the filling object thinks each initial access index should be included and the corresponding adjustment suggestions. The adjustment suggestions include the corresponding results of the initial access indexes at different levels and / or recommended newly added access indexes, etc., and of course it is not limited thereto.

[0073] It should be noted that the evaluation questionnaire can be in paper form or electronic form. The present application does not further limit the specific form of the evaluation questionnaire.

[0074] In this embodiment, all the filled preliminary evaluation questionnaires are sorted out and analyzed to obtain the evaluation results and adjustment suggestions of the initial access index. The initial access index is adjusted according to the evaluation results and the adjustment suggestions of the initial access index to obtain the candidate access index. A secondary evaluation questionnaire is generated according to the candidate access index, and at the same time, the secondary evaluation questionnaire and the initial access index are sent to each target evaluator to obtain the evaluation results and adjustment suggestions of the candidate access index. The target access index is obtained according to the evaluation results and adjustment suggestions of the candidate access index.

[0075] It should be noted that the goal of the Delphi method is to obtain high-quality responses from the target evaluation group, and the target access indicators for medical consumables are obtained through the iterative process of evaluating, modifying, and determining the target evaluation group, so as to improve the scientificity of formulating the access indicators for medical consumables.

[0076] S7: Calculate the combined weights of the access indicators at each level in the target access indicators by using the analytic hierarchy process.

[0077] It should be noted that step S7 further includes the following sub-steps: S71. Taking each level as a unit, obtain the pairwise comparisons of the importance of all access indicators in each hierarchical structure by each of the target evaluators to obtain a comparison matrix. S72. Calculate the weights of each access indicator in this level according to the comparison matrix of each hierarchical structure. S73. Verify the consistency of the weights of the access indicators corresponding to each hierarchical structure. If the result of the consistency test fails, return to step S71 and re-obtain the pairwise comparison results of the importance of all indicators in each hierarchical structure by each of the target evaluators until the result of the consistency test passes, and then continue with step S74. S74. Calculate the combined weights.

[0078] It should be noted that in step S71, a comparison scale of 1-9 can be used to obtain the importance evaluation results of each of the target evaluators for each hierarchical structure of the target access indicators, and calculate the mean of the importance evaluation results of all the target evaluators for each hierarchical structure to obtain the comparison matrix corresponding to the hierarchical structure. Denote the comparison matrix as A, A = {A1, A2, A3}. Among them, A1 represents the comparison matrix of index layer 1, A2 represents the comparison matrix of index layer 2, and A3 represents the comparison matrix of the measure layer. For example, if the value of the element in the i-th row and j-th column of the comparison matrix A1 is 1, it means that the importance of the i-th index and the j-th index in index layer 1 is the same; if the value of the element in the i-th row and j-th column of the comparison matrix A1 is greater than 1, it means that the importance of the i-th index in index layer 1 is greater than the importance of the j-th index; if the value of the element in the i-th row and j-th column of the comparison matrix A1 is less than 1, it means that the importance of the i-th index in index layer 1 is less than the importance of the j-th index.

[0079] It should be noted that in step S72, the root method or the sum method can be used to calculate the weights, or other feasible calculation methods can be used.

[0080] It should be noted that in step S74, the combined weight of the secondary access indicators is equal to the product of the weight of the primary access indicator and the weight of the secondary access indicator, and the combined weight of the tertiary access indicator is equal to the combined weight of the secondary indicator and the weight of the tertiary access indicator. For example, if the weight of "clinical value" (which belongs to the primary access indicator) calculated according to steps S71 - S74 is 0.4085, the weight of its corresponding secondary access indicator "safety" is 0.5111, and the weight of the tertiary access indicator "occurrence of adverse events" corresponding to "safety" is 0.1754, then the combined weight of the secondary access indicator "safety" is 0.4085 * 0.5111, and the combined weight of the tertiary access indicator "occurrence of adverse events" is 0.2088 * 0.1754.

[0081] S8: Obtain the target access indicator rule according to the preset score, the lowest - level target access indicator, and the corresponding combined weight. The specific value of the preset score is obtained through pre - setting.

[0082] In this embodiment, the higher the total score of the medical consumables, the higher the access priority. The full score of all tertiary access indicators is set to 5 points. If medical consumable A rarely has adverse events, the score of this medical consumable in the tertiary access indicator "occurrence of adverse events" is 5 points; if medical consumable A occasionally has adverse events, the score of this medical consumable in the tertiary access indicator "occurrence of adverse events" is 3 points; if medical consumable A is prone to have adverse events, the score of this medical consumable in the tertiary access indicator "occurrence of adverse events" is 0 points. When using the target access indicator system to conduct access evaluation on medical consumables, obtain the scoring results of the consumable evaluator for this medical consumable in each tertiary access indicator, and perform weighted calculation on the scoring results of the consumable evaluator according to the combined weight of the tertiary access indicator to obtain the access evaluation score of this medical consumable.

[0083] It should be noted that the goal of the Delphi analysis method is to obtain high - quality answers from the target evaluation group. The target access indicators of medical consumables are obtained through the process of iterative evaluation, modification, and determination of the target evaluation group. The evaluation results of each round are fed back to the members of the target evaluation group, and the members of the target evaluation group can adjust and modify their opinions according to the feedback information. Multiple rounds of feedback and correction make the opinions of the target evaluation group tend to be consistent. In this way, the indicators in the medical consumable access system obtained have high reliability and scientificity. The analytic hierarchy process decomposes the problem of medical consumable access affected by multiple factors into different hierarchical structures. The weight of each hierarchical structure's plan is judged through pairwise comparison, and the weight coefficients of all target access indicators obtained by the Delphi analysis method are characterized by the method of eigenvectors, so as to assist medical institutions in formulating a medical consumable access indicator system with high scientificity and high feasibility.

[0084] In a feasible embodiment, referring to the attached Figure 2 As shown, the method further includes step S9: calibrating the target access index rule after each medical consumable access assessment is completed.

[0085] In this embodiment, step S9 further includes the following sub-steps: S91. Take the target access index with the lowest hierarchy as the first candidate index, that is, initialize the first candidate index as the third-level access index in the target access index. S92. Obtain the first evaluation result of the target consumable on the first candidate index, that is, obtain the scoring result of the consumable access assessment personnel on the target consumable according to the first candidate index. S93. The corresponding adaptability weight can be obtained by querying the database according to the product category of the target consumable and the first candidate index. Target consumables with the same product category have the same adaptability weight on the same first candidate index. S94. Calculate the verification result component according to the product of each first evaluation result, the corresponding adaptability weight, and the corresponding combination weight. S95. Take the parent index of the first candidate index as the second candidate index, that is, initialize the second candidate index as the second-level access index in the target access index. S96. Calculate the corresponding verification result according to the sum of all the verification result components corresponding to each second candidate index. S97. Obtain the second evaluation result of the target consumable on the second candidate index. S98. Calculate the distance between each verification result and the second evaluation result, compare each distance with the verification threshold. If there is a verification result whose distance from the second evaluation result is greater than the verification threshold, set the verification result of the adaptability degree of the target consumable as failed, and continue to execute step S99; if the distances between all the verification results and the second evaluation result are greater than the verification threshold, take the second candidate index as the new first candidate index, and return to step S92 to execute until all hierarchical structures are traversed.

[0086] It should be noted that in step S98, the distance between the verification result and the second evaluation result is equal to the absolute value of the difference between the verification result and the second evaluation result.

[0087] It should be noted that if there is no verification result whose distance from the second evaluation result is greater than the verification threshold among all the verification results corresponding to all hierarchical structures, set the verification result of the adaptability degree of the target consumable as passed, and do not adjust the corresponding adaptability weight.

[0088] In this embodiment, denote the second candidate index as S, S = {s1,..., s q …, s m}, where m represents the number of second candidate indicators. The adaptation weight of all product categories on the evaluation results of all the first candidate indicators is preset to 1. Initialize the sub - level first candidate indicators of the q - th second candidate indicator as the third - level access indicators in the target access indicators, denoted as T, T = {t1,..., t k …, t n}, where is the number of the sub - level first candidate indicators of the q - th second candidate indicator. The sum of the numbers of all the first candidate indicators corresponding to all the second candidate indicators is equal to the number of the third - level access indicators in the target access indicators.

[0089] In this embodiment, for the q - th second candidate indicator s q the corresponding verification result r q is calculated as follows:

[0090] ;

[0091] where N represents the number of the first candidate indicators of the sub - hierarchy corresponding to the q - th second candidate indicator, α i represents the combined weight of the second candidate indicator s q corresponding to the i - th first candidate indicator t i , β i represents the adaptation weight of the second candidate indicator s q corresponding to the i - th first candidate indicator t i , and score i represents the first evaluation result of the second candidate indicator s q corresponding to the i - th first candidate indicator t i .

[0092] In this embodiment, if there exists an absolute value of the difference between r q and the second candidate indicator greater than the verification threshold, set the verification result of the adaptation degree of this product category and the corresponding second candidate indicator as failed; if there does not exist an absolute value of the difference between r q and the second candidate indicator greater than the verification threshold, update the first candidate indicator to the second - level access indicator in the target access indicator, update the second candidate indicator to the first - level access indicator in the target access indicator, and increase the value of the verification threshold, then return to step S93 for execution.

[0093] In this embodiment, as shown in the attached Figure 2 figure, the method further includes step S99: correcting the target access indicator rule corresponding to this product type through the adaptation weight.

[0094] In this embodiment, step S99 further includes the following sub - steps:

[0095] S991. Select the second candidate index corresponding to the verification result whose distance from the second evaluation result is greater than the verification threshold as the third candidate index. If the verification result r of the second candidate index s q is greater than the verification threshold from the second evaluation result, then the third candidate index includes the second candidate index s q ; otherwise, the third candidate index does not include the second candidate index s q . q .

[0096] S992. Remove each first candidate index of the third candidate index in turn to obtain the first reference index. Calculate the corresponding reference weight according to the proportion of the combined weight of each first candidate index in the first reference index to the sum of the combined weights of all first candidate indexes in the first reference index.

[0097] It should be noted that after removing the I-th first candidate index from the sub-level of the second candidate index, the remaining first to (I - 1)-th first reference indexes and the (I + 1)-th to n-th first reference indexes form the first reference index F I . Obtain the combined weight corresponding to the first reference index F I to get the combined weight set, denoted as , , where represents the combined weight of the p-th first reference index in the first reference index F I . For example, the first reference index F2 represents the set composed of the remaining first candidate indexes after removing the second first candidate index from the sub-level of the second candidate index, that is, F2 = {t1, t3,..., t n}, and the corresponding combined weight set , where represents the combined weight of the first first candidate index in the first reference index F2, that is, the combined weight of t1; represents the combined weight of the second first candidate index in the first reference index F2, that is, the combined weight of t3.

[0098] In this embodiment, taking the p-th first candidate index in the first reference index F I as an example, the calculation method of the corresponding reference weight is described in detail:

[0099] ;

[0100] where is the reference weight corresponding to the p-th first candidate index in the first reference index F I , is the combined weight of the p-th first candidate index, is the first reference index F I The sum of the combined weights of all first candidate indices.

[0101] S993. Take all the reference weights corresponding to each of the first reference indices as the new combined weights, and calculate the reference verification result. The calculation method is similar to that in step S94 and will not be described in detail here.

[0102] S994. Take the first reference index corresponding to the reference verification result whose distance from the second evaluation result is not greater than the verification threshold as the second reference index.

[0103] S995. Compare the combined weights of the first candidate indices corresponding to all the second reference indices that are removed, increase the adaptation weight of the second reference index corresponding to the minimum value, and decrease the combined weight of the first candidate index corresponding to the minimum value.

[0104] It should be noted that it is preset that the change amount of each adaptation weight is Δβ. After the adaptation weight of the removed first candidate index is updated, it is equal to the difference between the adaptation weight before the update and Δβ. After the sum of the adaptation weights of the first candidate indices that are not removed (i.e., the first reference indices) is updated, it is equal to the sum of the weights before the update plus Δβ. When the specific value of Δβ is less than the preset initial value of the adaptation weight, that is, less than 1, through multiple updates and iterations of the adaptation weight, collect the opinions of at least two consumable access evaluation personnel to reduce the influence of subjective factors on the formulation of the access index rules, so as to reduce the adverse impact of misoperations in the access evaluation process of medical consumables on the access index rules.

[0105] It should be noted that there are differences in the evaluation criteria of different types of medical consumables under different indices. For example, when evaluating the safety of implantable consumables, in addition to considering their chemical stability, their long-term performance also needs to be considered. If the long-term use effect of implantable consumable A is poor, its score in the access evaluation should be lower than that of other products under the same conditions. Therefore, based on the uniformly formulated access rules for medical consumables, this application further fine-tunes the weights of the access indices through the adaptation weight in an iterative update manner, so as to achieve targeted matching of appropriate access evaluation rules according to the product category of medical consumables. At the same time, this method can make the formulated access index rules dynamically adjustable to adapt to the speed of product replacement of medical consumables.

[0106] According to the second aspect of the present invention, the present invention claims to protect a system for constructing a medical consumable access index system, as shown in the attached Figure 3 It includes:

[0107] The first acquisition module is used to construct the hierarchical structure of the medical consumable access index according to the analytic hierarchy process, and obtain the initial access index according to the hierarchical structure;

[0108] A second acquisition module, which is configured to use the Delphi analysis method to obtain the admission evaluation results and adjustment suggestions of the target index evaluation group for each of the initial admission indicators;

[0109] A first generation module, which is configured to generate target admission indicators according to the admission evaluation results and the adjustment suggestions of all the initial admission indicators;

[0110] A first processing module, which is configured to calculate the combined weights of all the admission indicators at each level in the target admission indicators by using the analytic hierarchy process;

[0111] A second generation module, which is configured to obtain target admission indicator rules according to the target admission indicators at the lowest level of the hierarchical structure and the corresponding combined weights.

[0112] In a feasible implementation manner, the system further includes a second processing module, which is configured to use the target admission indicators at the lowest level of the hierarchical structure as the first candidate indicators; obtain the evaluation results of the first candidate indicators of the target consumables; match the product category of the target consumables with the first candidate indicators to obtain the corresponding adaptability weights; calculate the verification result components according to the product of the evaluation results of the first candidate indicators, the adaptability weights, and the combined weights; calculate the corresponding verification results according to the sum of all the verification result components corresponding to the second candidate indicators; if there is a verification result whose distance from the target consumables in the corresponding second candidate indicator is greater than the verification threshold, set the verification result of the adaptability degree of the product category and the corresponding second candidate indicator as failed.

[0113] In a feasible implementation manner, the second processing module further includes obtaining first reference indicators by removing each of the first candidate indicators; updating the combined weights of all the first reference indicators so that the sum of the combined weights of all the first reference indicators is equal to the combined weight of the corresponding second candidate indicator, and the ratio between all the first reference indicators is the same as that before the update; calculating the updated verification result components according to the updated combined weights; calculating the updated verification results according to all the updated verification result components corresponding to the second candidate indicator, increasing the adaptability weights corresponding to the first reference indicators with the verification result of the adaptability degree being passed, and decreasing the adaptability weights of the remaining first candidate indicators.

[0114] In a feasible implementation manner, the second processing module further includes that the sum of the change amounts of all the increased adaptability weights is the same as the sum of the change amounts of all the decreased adaptability weights, and the change amount of all the decreased adaptability weights is less than the minimum value of the corresponding adaptability weights before the update.

[0115] In a feasible embodiment, the second processing module further includes the steps of: if there is no check result with a distance greater than the check threshold from the target consumable for the corresponding second candidate index, updating the first candidate index to the second candidate index, obtaining a new second candidate index, and returning to execute until all hierarchical structures are traversed.

[0116] In a feasible embodiment, the second processing module further includes that the specific value of the check threshold increases as the level corresponding to the first candidate index increases.

[0117] Refer to the attached Figure 4 As shown in the figure, an embodiment of the present application provides an electronic device, including: a processor and a memory. The processor and the memory are interconnected and communicate with each other through a communication bus and / or other forms of connection mechanisms (not marked). The memory stores a computer program executable by the processor. When the computing device runs, the processor executes the computer program to execute the system in any optional implementation manner of the above embodiments.

[0118] An embodiment of the present application provides a storage medium. When the computer program is executed by the processor, it executes the system in any optional implementation manner of the above embodiments. Among them, the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (abbreviated as SRAM), electrically erasable programmable read-only memory (abbreviated as EEPROM), erasable programmable read-only memory (abbreviated as EPROM), programmable read-only memory (abbreviated as PROM), read-only memory (abbreviated as ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0119] In the embodiments provided by the present application, it should be understood that the disclosed system can be implemented in other ways. The system embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division. In actual implementation, there may be other division methods. For another example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some communication interfaces. The indirect coupling or communication connection of the system or unit can be in an electrical, mechanical or other form.

[0120] In addition, the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or may be distributed across multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0121] Furthermore, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist alone, or two or more modules can be integrated to form an independent part.

[0122] Flowcharts are used herein to illustrate the steps of the methods of the embodiments of the present disclosure. It should be understood that the steps before or after do not necessarily have to be carried out precisely in sequence. On the contrary, they can be carried out in reverse order or evaluated simultaneously. At the same time, other operations can also be added to these processes.

[0123] Unless otherwise defined, all terms used herein have the same meaning as commonly understood by those of ordinary skill in the art to which the present disclosure belongs. It should also be understood that terms such as those defined in a common dictionary should be interpreted as having a meaning consistent with their meaning in the context of the relevant art, and should not be interpreted in an idealized or overly formal sense unless explicitly defined as such herein.

[0124] The above has introduced in detail a method and system for constructing a medical consumable access index system. Specific examples are used herein to elaborate on the principles and implementation manners of the present application. The description of the above embodiments is only for the embodiments of the present application, and is only used to help understand a method and system for constructing a medical consumable access index system of the present application, and does not limit the protection scope of the present application; at the same time, for those skilled in the art, the present application can have various changes and modifications. Any modification or equivalent replacement made within the spirit and principle of the present application shall be included within the protection scope of the present application.

Claims

1. A method for constructing an access index system for medical consumables, characterized in that, Including: Construct a hierarchical structure of medical consumables access indicators according to the analytic hierarchy process, and obtain initial access indicators according to the hierarchical structure; Adopt the Delphi analysis method to obtain the access evaluation results and adjustment suggestions of the target indicator evaluation group for each of the initial access indicators; generate target access indicators according to the access evaluation results and the adjustment suggestions of all the initial access indicators; Use the analytic hierarchy process to calculate the combined weights of all access indicators at each level in the target access indicators; Obtain the target access indicator rules according to the target access indicators at the lowest level of the hierarchical structure and the corresponding combined weights; The method further includes: taking the target access indicators at the lowest level of the hierarchical structure as the first candidate indicators; Obtain the first evaluation results of the target consumables on the first candidate indicators; Match the product category of the target consumables with the first candidate indicators to obtain the corresponding adaptability weights; Calculate the verification result components according to the product of each first evaluation result, the corresponding adaptability weight, and the corresponding combined weight; Take the parent indicators of the first candidate indicators as the second candidate indicators; Calculate the corresponding verification results according to the sum of all the verification result components corresponding to each second candidate indicator; Obtain the second evaluation results of the target consumables on the second candidate indicators; If there is a verification result whose distance from the second evaluation result is greater than the verification threshold, set the adaptability verification result of the target consumables as failed; where the distance between the verification result and the second evaluation result is the absolute value of the difference between the verification result and the second evaluation result; After the step of setting the adaptability verification result of the target consumables as failed, it further includes: Take the second candidate indicators corresponding to the verification results whose distance from the second evaluation result is greater than the verification threshold as the third candidate indicators; Remove each first candidate indicator of the third candidate indicators in turn to obtain the first reference indicators; Calculate the corresponding reference weights according to the proportion of the combined weight of each first candidate indicator in the first reference indicators in the sum of the combined weights of all first candidate indicators in the corresponding first reference indicators; Take all the reference weights corresponding to each first reference indicator as the new combined weights and calculate the reference verification results; Take the first reference indicators corresponding to the reference verification results whose distance from the second evaluation result is not greater than the verification threshold as the second reference indicators; Compare the combined weights of the first candidate indicators corresponding to all the second reference indicators that are removed, increase the adaptability weight of the second reference indicator corresponding to the minimum value, and decrease the combined weight of the first candidate indicator corresponding to the minimum value; The method further includes: the sum of the change amounts of all increased adaptability weights is the same as the sum of the change amounts of all decreased adaptability weights, and the change amount of all decreased adaptability weights is less than the preset initial value of the adaptability weight.

2. The method for constructing a medical consumables access index system according to claim 1, wherein After obtaining the second evaluation results of the target consumables on the second candidate indicators, it further includes: If the distances between all the verification results and the second evaluation result are all greater than the verification threshold, take the second candidate indicator as the new first candidate indicator, and return to execute the step of obtaining the first evaluation result of the target consumable at the first candidate indicator until all hierarchical structures are traversed.

3. A method for constructing an access index system for medical consumables according to claim 2, characterized in that, The specific value of the verification threshold increases as the level corresponding to the first candidate indicator increases.

4. A system for constructing a medical consumables access index system, characterized in that, It includes: A first acquisition module, which is used to construct a hierarchical structure of medical consumable access indicators according to the analytic hierarchy process, and obtain initial access indicators according to the hierarchical structure; A second acquisition module, which is used to obtain the access evaluation results and adjustment suggestions of the target indicator evaluation group for each of the initial access indicators by using the Delphi method; A first generation module, which is used to generate target access indicators according to the access evaluation results and the adjustment suggestions of all the initial access indicators; A first processing module, which is used to calculate the combined weights of all access indicators at each level in the target access indicators by using the analytic hierarchy process; A second generation module, which is used to obtain target access indicator rules according to the target access indicators at the lowest level of the hierarchical structure and the corresponding combined weights; The system further includes a second processing module, which is used to take the target access indicator at the lowest level of the hierarchical structure as the first candidate indicator; obtain the first evaluation result of the target consumable at the first candidate indicator; match the product category of the target consumable with the first candidate indicator to obtain the corresponding adaptability weight; Calculate the verification result component according to the product of each first evaluation result, the corresponding adaptability weight, and the corresponding combined weight; Take the parent indicator of the first candidate indicator as the second candidate indicator; Calculate the corresponding verification result according to the sum of all the verification result components corresponding to each second candidate indicator; Obtain the second evaluation result of the target consumable at the second candidate indicator; if there is a verification result whose distance from the second evaluation result is greater than the verification threshold, set the verification result of the adaptability degree of the target consumable to failed; where the distance between the verification result and the second evaluation result is the absolute value of the difference between the verification result and the second evaluation result. The second processing module further includes taking the second candidate indicators corresponding to the verification results whose distances from the second evaluation result are greater than the verification threshold as the third candidate indicators; sequentially removing each first candidate indicator of the third candidate indicators to obtain the first reference indicators; calculating the corresponding reference weights according to the proportion of the combined weight of each first candidate indicator in the first reference indicators in the sum of the combined weights of all first candidate indicators in the corresponding first reference indicators; taking all the reference weights corresponding to each first reference indicator as the new combined weights and calculating the reference verification results; taking the first reference indicators corresponding to the reference verification results whose distances from the second evaluation result are not greater than the verification threshold as the second reference indicators; comparing the combined weights of the first candidate indicators corresponding to all the second reference indicators that are removed, increasing the adaptation weight of the second reference indicator corresponding to the minimum value, and decreasing the combined weight of the first candidate indicator corresponding to the minimum value. The second processing module further includes that the sum of the total changes of all increased adaptation weights is the same as the sum of the total changes of all decreased adaptation weights, and the change amount of all decreased adaptation weights is less than the preset initial value of the adaptation weight.

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