Medical consumable access index system construction method and system

Abstract

The invention discloses a medical consumable access index system construction method and system, and relates to the field of medical quality management.The medical consumable access index system construction method comprises the steps that a hierarchical structure of medical consumable access indexes is constructed according to an analytic hierarchy process, and initial access indexes are obtained according to the hierarchical structure; adopting a Delphi analysis method to obtain an admission evaluation result and an adjustment suggestion of a target index evaluation group for each initial admission index; generating a target admission index according to the admission evaluation results of all the initial admission indexes and the adjustment suggestions; calculating by adopting an analytic hierarchy process to obtain a combined weight of all the admission indexes of each hierarchy in the target admission indexes; and obtaining a target admission index rule according to the target admission index with the lowest hierarchical structure and the corresponding combination weight so as to assist a medical institution in formulating a medical consumable admission index system with high scientificity and high feasibility.

Description

Technical Field

[0001] The present application relates to the field of medical quality management, and specifically to a method and system for constructing a medical consumables access indicator system. Background Art

[0002] Medical consumables refer to consumable devices and materials used in the diagnosis, treatment, health care, rehabilitation and other treatment processes in medical activities. The rational selection and use of medical consumables is of great significance to improving medical quality and improving patient experience. With the development of technology, the types of medical consumables are increasing. According to the catalog of medical insurance consumables, the number of medical consumables in 2023 has reached more than 20 million. It is crucial to establish a scientific medical consumables access system to assist medical institutions in selecting suitable medical consumables from a large number of medical consumables.

[0003] The international access assessment method for medical consumables mainly refers to the Health Technology Assessment (HTA) method. HTA systematically sorts out multi-dimensional evidence such as safety, clinical effectiveness, economic evaluation, innovation, ethics, society, and law to support relevant decision-making such as configuration procurement, budget formulation, reasonable use, payment pricing, and upgrading. However, some indicators in HTA require a large amount of literature evidence to complete the scoring. This not only has the problem of weak feasibility of indicators, which increases the difficulty of use for medical institutions, but also makes it difficult for medical institution evaluators to complete the evaluation in a short period of time, and it is difficult to meet the requirements of medical institutions for speed and efficiency. 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 indicator system for medical consumables, and to provide a method and system for constructing an access indicator system for medical consumables to assist medical institutions in completing the construction of the access indicator system for medical consumables and improve the efficiency and scientificity of the medical institutions' medical consumables access decision-making.

[0005] According to the first aspect of the present invention, the present invention claims a method for constructing a medical consumables access index system, comprising: Constructing a hierarchical structure of medical consumables access indicators according to the analytic hierarchy process, and obtaining initial access indicators according to the hierarchical structure; Using the Delphi analysis method to obtain the admission evaluation results and adjustment suggestions of the target indicator evaluation group for each of the initial admission indicators; generating target admission indicators based on the admission evaluation results and adjustment suggestions of all the initial admission indicators; The combined weights of all the admission indicators at each level of the target admission indicators are calculated using the analytic hierarchy process; The target entry indicator rule is obtained according to the target entry indicator at the lowest level of the hierarchy and the corresponding combination weight.

[0006] In an embodiment of the present application, the method further includes: The objective with the lowest level in the hierarchy is selected as the first candidate indicator; Obtaining a first evaluation result of the target consumable on the first candidate indicator; Obtaining a corresponding fitness weight according to the product category of the target consumables and the first candidate indicator; The verification result component is calculated according to the product of each first evaluation result, the corresponding fitness weight and the corresponding combination weight; The parent indicator of the first candidate indicator is used 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 a second evaluation result of the target consumable on the second candidate indicator; If there is a verification result whose distance from the second evaluation result is greater than the verification threshold, the adaptation degree verification result of the target consumable is set to fail.

[0007] In an embodiment of the present application, after the step of setting the result of the adaptation degree verification of the target consumable to be failed, the method further includes: Taking the second candidate indicator corresponding to the verification result whose distance from the second evaluation result is greater than the verification threshold as the third candidate indicator; Remove each first candidate indicator of the third candidate indicator in turn to obtain a first reference indicator; The corresponding reference weight is calculated according to the proportion of the combined weight of each first candidate indicator in the first reference indicator to the sum of the combined weights of all first candidate indicators in the corresponding first reference indicator; Taking all reference weights corresponding to each of the first reference indicators as new combined weights, and calculating a reference verification result; Taking the first reference indicator corresponding to the reference verification result whose distance from the second evaluation result is not greater than the verification threshold as the second reference indicator; The combined weights of all the second reference indicators corresponding to the removed first candidate indicators are compared, the fitness weight of the second reference indicator corresponding to the minimum value is increased, and the combined weight of the first candidate indicators corresponding to the minimum value is reduced.

[0008] In one embodiment of the present application, the method also includes: the sum of the total changes of all increased fitness weights is the same as the sum of the total changes of all reduced fitness weights, and the changes of all reduced fitness weights are less than the preset initial value of the fitness weights.

[0009] In an embodiment of the present application, after obtaining the second evaluation result of the second candidate indicator of the target consumable, the method further includes: If the distances between all the verification results and the second evaluation result are greater than the verification threshold, the second candidate indicator is used as the new first candidate indicator, and the process returns to the step of obtaining the first evaluation result of the target consumable under the first candidate indicator until all hierarchical structures are traversed.

[0010] In an embodiment of the present application, the specific value of the verification threshold increases as the level corresponding to the first candidate indicator increases.

[0011] According to the second aspect of the present invention, the present invention claims protection for a system for constructing a medical consumables access indicator system, comprising: A first acquisition module, the first acquisition module is used to construct a hierarchical structure of medical consumables access indicators according to the hierarchical analysis method, and obtain initial access indicators according to the hierarchical structure; A second acquisition module, the second acquisition module is used to obtain the admission evaluation results and adjustment suggestions of the target indicator evaluation group for each of the initial admission indicators by using the Delphi analysis method; A first generating module, the first generating module is used to generate a target admission indicator according to the admission evaluation results and the adjustment suggestions of all the initial admission indicators; A first processing module, the first processing module is used to calculate the combined weight of all admission indicators at each level of the target admission indicators by using the hierarchical analysis method; The second generating module is used to obtain the target entry indicator rule according to the target entry indicator with the lowest hierarchy and the corresponding combination weight.

[0012] In one embodiment of the present application, the system also includes a second processing module, which is used to take the target standard entry indicator with the lowest hierarchy as the first candidate indicator; obtain the first evaluation result of the target consumable in the first candidate indicator; obtain the corresponding fitness weight according to the product category of the target consumable and the first candidate indicator; calculate the verification result component according to the product of each first evaluation result, the corresponding fitness weight and the corresponding combination 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 in the second candidate indicator; if there is a verification result whose distance from the second evaluation result is greater than the verification threshold, the fitness verification result of the target consumable is set to failed.

[0013] In one embodiment of the present application, the second processing module also includes taking the second candidate indicator corresponding to the verification result whose distance from the second evaluation result is greater than the verification threshold as the third candidate indicator; removing each first candidate indicator of the third candidate indicator in turn to obtain the first reference indicator; calculating the corresponding reference weight according to the proportion of the combined weight of each first candidate indicator in the first reference indicator to the sum of the combined weights of all first candidate indicators in the corresponding first reference indicator; taking all the reference weights corresponding to each of the first reference indicators as new combined weights to calculate the reference verification result; taking the first reference indicator corresponding to the reference verification result whose distance from the second evaluation result is not greater than the verification threshold as the second reference indicator; comparing the combined weights of all second reference indicators corresponding to the removed first candidate indicators, increasing the fitness weight of the second reference indicator corresponding to the minimum value, and reducing the combined weight of the first candidate indicators corresponding to the minimum value.

[0014] In one embodiment of the present application, the second processing module also includes that the sum of the total changes of all increased fitness weights is equal to the sum of the total changes of all reduced fitness weights, and the change of all reduced fitness weights is less than the preset initial value of the fitness weight.

[0015] In one embodiment of the present application, the second processing module also includes taking the second candidate indicator as a new first candidate indicator if the distance between all the verification results and the second evaluation result is greater than a verification threshold, and returning to the step of obtaining the first evaluation result of the target consumable under the first candidate indicator until all hierarchical structures are traversed.

[0016] In an embodiment of the present application, the second processing module further includes a specific value of the verification threshold that increases as the level corresponding to the first candidate indicator increases.

[0017] This application has the following beneficial effects: 1. The goal of the Delphi analysis method is to obtain high-quality answers from the target evaluation group, and obtain the target access indicators of medical consumables through the process of iterative evaluation, modification and determination by the target evaluation group. The evaluation results of each round are fed back to the members of the target evaluation group. The members of the target evaluation group can adjust and modify their opinions based on the feedback information. Multiple rounds of feedback and correction make the opinions of the target evaluation group consistent, so that the indicators in the medical consumables access system obtained in this way have high reliability and scientificity. The hierarchical analysis method decomposes the medical consumables access problem affected by multiple factors into different hierarchical structures. The weight of each hierarchical structure is judged by pairwise comparison. The characteristic vector method is used to characterize the weight coefficients of all target access indicators obtained by the Delphi analysis method, so as to assist medical institutions in formulating a medical consumables access indicator system with high scientificity and feasibility.

[0018] 2. There are differences in the evaluation standards of different types of medical consumables under different indicators. For example, when evaluating the safety of implantable consumables, in addition to considering their chemical stability, their long-term nature 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 other products with the same conditions. Therefore, based on the uniformly formulated access rules for medical consumables, this application further fine-tunes the weights of the access indicators through the adaptability weights through iterative updates, so as to achieve targeted matching of appropriate access evaluation rules according to the product categories of medical consumables. At the same time, this method enables the formulated access indicator rules to be dynamically adjusted to adapt to the speed of renewal of medical consumables.

[0019] 3. Reduce the adverse effects of misoperation on access indicator rules during the access assessment process of medical consumables. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0021] Figure 1 A schematic diagram of a process for constructing a medical consumables access index system according to an embodiment of the present application; Figure 2 A flowchart of a target access indicator rule correction method according to an embodiment of the present application; Figure 3 A schematic diagram of the structure of a system for constructing a medical consumables access index system according to an embodiment of the present application; Figure 4 This is a schematic diagram of the structure of an electronic device involved in an embodiment of the present application. DETAILED DESCRIPTION

[0022] The present invention provides a method and system for constructing a medical consumables access index system. In order to make the above-mentioned purposes, features and advantages of the present application more obvious and understandable, the technical scheme in the embodiment of the present application will be clearly and completely described below in conjunction with the drawings in the embodiment of the present application. Obviously, the described embodiment is only a part of the embodiment of the present application, not all embodiments. The components of the embodiment of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, with reference to the terms "one embodiment", "some embodiments", "implementation", "embodiment", "illustrative embodiment", "example", "specific example" or "some examples", the following detailed description of the embodiment of the present application provided in the drawings is not intended to limit the scope of the present application for protection, but only indicates that the specific features, structures or characteristics described in conjunction 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 any one or more embodiments or examples in a suitable manner. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0023] It should be noted that similar reference numerals and letters represent similar items in the following figures, so once an item is defined in one figure, it does not need to be further defined and explained in the subsequent figures. At the same time, in the description of this application, the terms "first", "second" and other relational terms are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0024] 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, including: S1: Construct a hierarchical structure of medical consumables access indicators based on the analytic hierarchy process.

[0025] It should be noted that the hierarchical structure includes the target layer (the highest layer), indicator layer 1 (middle layer 1), indicator layer 2 (middle layer 2) and measure layer (the lowest layer). Among them, the target layer includes the establishment of a medical consumables access system; indicator layer 1 includes the primary factors that need to be considered to achieve the expected effect, that is, the first-level access indicators in the target access indicators; indicator layer 2 includes factors that need to be considered to affect indicator layer 1, that is, the second-level access indicators in the target access indicators; the measure layer includes factors to be considered to achieve indicator layer 2, that is, the third-level access indicators in the target access indicators.

[0026] S2: Obtaining initial access indicators according to the hierarchical structure. The initial access indicators can be obtained by querying literature, national regulations, industry specifications, and access indicators of medical consumables of other medical institutions.

[0027] In this embodiment, the primary access indicators include clinical value, economic value, patient value and management value, but they are not limited thereto. The secondary access indicators include safety, effectiveness, suitability, economy, patient life quality or patient psychology and hospital service capacity improvement, but they are not limited thereto. The third-level access indicators include the occurrence of adverse events, clinical operation risks, contraindications, evidence-based medicine, potential complications, impact on hospital infection management, achieving the expected clinical effect of the product, cure or relief of clinical symptoms, improved diagnostic speed or accuracy, shortened operation time, reduced reoperation rate or re-hospitalization rate, recovery of patients' daily abilities (reduced patient pain and trauma), recommendation by guidelines or industry associations, ease of operation, improvement in material or structural functions, light invasiveness of consumables, suitability for special application scenarios (such as special populations, special conditions or special parts), extended service life of consumables, irreplaceable due to supporting predecessor products, domestic substitutes, impact on average cost per visit, impact on total cost of the whole course of treatment, additional resource investment (site investment or personnel investment), increase in medical business volume or income involved in the project, extension of patient life or improvement of daily living ability, relief of patient pain, patient recognition, promotion of clinical discipline development, increase in the proportion of Level 4 surgeries and impact on hospital reputation. Of course, it is not limited to these.

[0028] 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 a number of indicators and the relationship between indicators, but it is not limited to this. Add all target evaluation personnel to the target indicator evaluation group.

[0029] It should be noted that the target evaluator may be an internal staff of a medical institution, or other experts in the medical field, or other feasible evaluators. This application does not further limit the selection method of the target evaluator.

[0030] S4: The Delphi analysis method is used to calculate the target authority index of the target indicator evaluation group.

[0031] 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 the indicator evaluation group. The authority index is calculated based on the mean of familiarity and judgment coefficient.

[0032] It should be noted that the familiarity is used to describe the familiarity of the target indicator assessment group with the issue of setting the 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 each level is assigned a score of 1.0, 0.8, 0.6, 0.4 and 0.2 respectively. Each of the target assessors conducts a self-assessment of the familiarity with the issue of setting the access indicators for medical consumables. The average familiarity of the target indicator assessment group is calculated based on the self-assessment results of all the target assessors.

[0033] It should be noted that the judgment coefficient is used to describe the basis for each target evaluator to formulate the access indicators of medical consumables. It can be divided into four parts: practical scientific research experience, theoretical analysis, domestic and foreign literature, and subjective judgment. Each part can be set to three 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 are:

[0034] Table 1 Example table of judgment basis assignment It should be noted that if the self-evaluation results of assessor A in the above four parts are medium, large, medium and small, respectively, it means that assessor A has rich practical scientific research experience, with a corresponding value of 0.4, very in-depth theoretical analysis, with a corresponding value of 0.3, can cite a certain number of relevant domestic and foreign literature, with a corresponding value of 0.1, and has a general judgment on the nature of the problem, with a corresponding value of 0.1. Therefore, the score result of assessor A in the judgment basis is 0.4+0.3+0.1+0.1=0.9. The score result of the indicator evaluation group in the judgment basis is obtained according to the average value of the score results of all the target assessors in the judgment basis.

[0035] S5: Compare the target authority index with the authority index threshold. If the target authority index is not less than the authority index threshold, the authority verification result of the target indicator evaluation group is set to pass. If the target authority index is less than the authority index threshold, the authority verification result of the target indicator evaluation group is set to fail, and feedback information is generated. The feedback information is used to remind the user to adjust the members of the target indicator evaluation group, and return to step S3 to continue execution.

[0036] It should be noted that the specific value of the authority index threshold can be obtained by presetting.

[0037] In this embodiment, the specific value of the authority index threshold is 0.7. When the calculation result of the authority index corresponding to the indicator evaluation group is not less than 0.7, the authority verification result of the target indicator evaluation group is set to pass, and step S7 is continued. When the calculation result of the authority index corresponding to the target indicator evaluation group is less than 0.7, the authority verification result of the target indicator evaluation group is set to fail. For the target indicator evaluation group that fails, the feedback information is generated.

[0038] It should be noted that the user may be the organizer of the medical consumables admission index system construction project or other management personnel of the medical institution. This application does not further limit the identity of the user who receives the feedback information.

[0039] S6: using the Delphi analysis method to obtain the admission evaluation results and adjustment suggestions of the target indicator evaluation group for each of the initial admission indicators; generating a target admission indicator based on the admission evaluation results and adjustment suggestions of all the initial admission indicators.

[0040] It should be noted that the admission evaluation result may be a scoring result or a classification result, such as a binary classification result of recommending inclusion or recommending non-inclusion.

[0041] In this embodiment, an initial evaluation questionnaire is generated according to the initial admission indicators, and the initial evaluation questionnaire includes information for obtaining whether the fill-in object considers each of the initial admission indicators to be included and corresponding adjustment suggestions. The adjustment suggestions include corresponding results of the initial admission indicators at different levels and / or recommended newly added admission indicators, etc., but of course it is not limited to this.

[0042] It should be noted that the evaluation questionnaire can be in paper form or electronic form, and this application does not further limit the specific form of the evaluation questionnaire.

[0043] In this embodiment, all completed initial evaluation questionnaires are collated and analyzed to obtain evaluation results and adjustment suggestions for the initial access indicators. The initial access indicators are adjusted according to the evaluation results and adjustment suggestions for the initial access indicators to obtain candidate access indicators. A secondary evaluation questionnaire is generated according to the candidate access indicators, and the secondary evaluation questionnaire and the initial access indicators are sent to each target evaluation personnel to obtain the evaluation results and adjustment suggestions for the candidate access indicators. The target access indicators are obtained according to the evaluation results and adjustment suggestions for the candidate access indicators.

[0044] It should be noted that the goal of the Delphi analysis method is to obtain high-quality answers from the target evaluation group, and to obtain the target access indicators for medical consumables through an iterative process of evaluation, modification and determination by the target evaluation group, so as to improve the scientific nature of the formulation of the access indicators for medical consumables.

[0045] S7: Calculate the combined weight of each level of the admission indicators of the target admission indicators by using the hierarchical analysis method.

[0046] It should be noted that step S7 also includes the following sub-steps: S71. Taking the level as the unit, obtain the pairwise comparison of the importance of all the access indicators in each hierarchical structure by each target evaluator to obtain a comparison matrix. S72. Calculate the weight of each access indicator in the 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 consistency test result is not passed, return to step S71, and re-obtain the pairwise comparison results of the importance of all the indicators in each hierarchical structure by each target evaluator until the consistency test result is passed, and continue with step S74. S74. Calculate the combined weight.

[0047] 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 target evaluation personnel for each hierarchical structure of the target input indicators, and the average value of the importance evaluation results of all target evaluation personnel for each hierarchical structure is calculated to obtain the comparison matrix of the corresponding hierarchical structure. The comparison matrix is ​​denoted as A, A={A1, A2, A3}. Among them, A1 represents the comparison matrix of indicator layer one, A2 represents the comparison matrix of indicator layer two, and A3 represents the comparison matrix of measure layer. For example, if the value of the jth element of the i-th row in the comparison matrix A1 is 1, it means that the importance of the i-th indicator of indicator layer one is the same as the importance of the j-th indicator; if the value of the jth element of the i-th row in the comparison matrix A1 is greater than 1, it means that the importance of the i-th indicator of indicator layer one is greater than the importance of the j-th indicator; if the value of the jth element of the i-th row in the comparison matrix A1 is less than 1, it means that the importance of the i-th indicator of indicator layer 1 is less than the importance of the j-th indicator.

[0048] It should be noted that, in step S72, the weight may be calculated by using the square root method, the sum method, or other feasible calculation methods.

[0049] 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 indicators and the weight of the secondary access indicators, and the combined weight of the tertiary access indicators is equal to the combined weight of the secondary indicators and the weight of the tertiary access indicators. For example, if the weight of "clinical value" (belonging to the primary access indicators) calculated according to steps S71-S74 is 0.4085, the weight of the secondary access indicator "safety" corresponding to it is 0.5111, and the weight of the tertiary access indicator "adverse event occurrence" 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 "adverse event occurrence" is 0.2088*0.1754.

[0050] S8: Obtaining a target entry indicator rule according to a preset score, the target entry indicator of the lowest level and a corresponding combination weight. The specific value of the preset score is obtained by presetting.

[0051] In this embodiment, the higher the total score of the medical consumables, the higher the access priority corresponding to them. The full score of all three-level access indicators is set to 5 points. If medical consumable A rarely has adverse events, the score of the medical consumable in the three-level access indicator "adverse event occurrence" is 5 points; if medical consumable A occasionally has adverse events, the score of the medical consumable in the three-level access indicator "adverse event occurrence" is 3 points; if medical consumable A is prone to adverse events, the score of the medical consumable in the three-level access indicator "adverse event occurrence" is 0 points. When using the standard access indicator system to conduct access assessment on medical consumables, obtain the scoring results of the consumables assessor for the medical consumables in each of the three-level access indicators, and perform weighted calculation on the scoring results of the consumables assessor according to the combined weights of the three-level access indicators to obtain the access assessment score of the medical consumables.

[0052] It should be noted that the goal of the Delphi analysis method is to obtain high-quality answers from the target evaluation group, and to obtain the target access indicators of medical consumables through the process of iterative evaluation, modification and determination by the target evaluation group. The evaluation results of each round are fed back to the members of the target evaluation group. The members of the target evaluation group can adjust and modify their opinions based on the feedback information. Multiple rounds of feedback and correction make the opinions of the target evaluation group consistent, so that the indicators in the medical consumables access system obtained in this way have high reliability and scientificity. The hierarchical analysis method decomposes the medical consumables access problem affected by multiple factors into different hierarchical structures. The weight of each hierarchical structure is judged by pairwise comparison. The characteristic vector method is used to characterize the weight coefficients of all target access indicators obtained by the Delphi analysis method, so as to assist medical institutions in formulating a medical consumables access indicator system with high scientificity and feasibility.

[0053] In a possible implementation, refer to the attached Figure 2 As shown, the method further includes step S9: correcting the target admission index rule after each admission evaluation of medical consumables is completed.

[0054] In this embodiment, step S9 also includes the following sub-steps: S91, taking the target entry indicator with the lowest hierarchy as the first candidate indicator, that is, initializing the first candidate indicator as the third-level entry indicator in the target entry indicator. S92, obtaining the first evaluation result of the target consumables on the first candidate indicator, that is, obtaining the scoring result of the consumables access assessor on the target consumables according to the first candidate indicator. S93, by querying the database, the corresponding fitness weight can be obtained according to the product category of the target consumables and the first candidate indicator. The target consumables with the same product category have the same fitness weight on the same first candidate indicator. S94, calculating the verification result component according to the product of each first evaluation result, the corresponding fitness weight and the corresponding combination weight. S95, taking the parent indicator of the first candidate indicator as the second candidate indicator, that is, initializing the second candidate indicator as the second-level entry indicator in the target entry indicator. S96, calculating the corresponding verification result according to the sum of all the verification result components corresponding to each second candidate indicator. S97, obtaining the second evaluation result of the target consumables on the second candidate indicator. S98. Calculate the distance between each verification result and the second evaluation result, compare each distance with the verification threshold, and 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 to failed, and continue to execute step S99; if the distance between all the verification results and the second evaluation result is greater than the verification threshold, use the second candidate indicator as the new first candidate indicator, and return to step S92 to execute until all hierarchical structures are traversed.

[0055] 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.

[0056] 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 verification results corresponding to all hierarchical structures, the fitness verification result of the target consumable is set to pass, and the corresponding fitness weight is not adjusted.

[0057] In this embodiment, the second candidate index is denoted as S, where S={s1, ..., s q …,s m}, where m represents the number of second candidate indicators. The fitness weights of all product categories on the evaluation results of all first candidate indicators are preset to 1. The first candidate indicator of the qth sub-level of the second candidate indicator is initialized as the third-level admission indicator in the target admission indicator, denoted as T, T={t1,…,t k …, t n}, wherein the number of the first candidate indicators of the qth sub-level of the second candidate indicator. The sum of the number of all first candidate indicators corresponding to all second candidate indicators is equal to the number of the third-level admission indicators in the target admission indicator.

[0058] In this embodiment, the qth second candidate indicator s q The corresponding verification result r q The calculation methods include: ; Wherein, N represents the number of the first candidate indicators of the sub-hierarchy corresponding to the qth second candidate indicator, α i Represents the second candidate index s q In the i-th first candidate index t i The corresponding combination weight, β i Represents the second candidate index s q In the i-th first candidate index t i The corresponding fitness weight, score i Represents the second candidate index s q In the i-th first candidate index t i The corresponding first evaluation result.

[0059] In this embodiment, if there is r q If the absolute value of the difference between the product category and the second candidate indicator is greater than the verification threshold, the verification result of the degree of adaptation between the product category and the corresponding second candidate indicator is set to fail; if there is no r q If the absolute value of the difference between the first candidate indicator and the second candidate indicator is greater than the verification threshold, the first candidate indicator is updated to the secondary admission indicator in the target admission indicator, the second candidate indicator is updated to the primary admission indicator in the target admission indicator, and the value of the verification threshold is increased, and the process returns to step S93 to execute.

[0060] In this embodiment, refer to the attached Figure 2 As shown, the method further includes step S99: correcting the target entry indicator rule corresponding to the product type by using the adaptability weight.

[0061] In this embodiment, step S99 further includes the following sub-steps: S991. Take the second candidate indicator corresponding to the verification result whose distance from the second evaluation result is greater than the verification threshold as the third candidate indicator. q The verification result r q The distance from the second evaluation result is greater than the verification threshold, 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 .

[0062] S992: Remove each first candidate indicator from the third candidate indicator in turn to obtain a first reference indicator. Calculate the corresponding reference weight according to the proportion of the combined weight of each first candidate indicator in the first reference indicator to the sum of the combined weights of all first candidate indicators in the first reference indicator.

[0063] It should be noted that after removing the first candidate indicator of the first candidate from the sub-level of the second candidate indicator, the remaining first reference indicators of the first candidate indicator from the first candidate indicator to the first candidate indicator and the first reference indicators of the first candidate indicator from the first candidate indicator to the second candidate indicator constitute the first reference indicator F. I , get the first reference index F I The corresponding combination weights are obtained, and the combination weight set is recorded as , ,in, Indicates the first reference index F I For example, the first reference indicator F2 represents the set of remaining first candidate indicators after removing the second first candidate indicator from the sub-level of the second candidate indicator, that is, F2={t1, t3, ..., t n}, the corresponding combination weight set ,in, represents the combined weight of the first first candidate indicator in the first reference indicator F2, that is, the combined weight of t1; It represents the combined weight of the second first candidate indicator in the first reference indicator F2, that is, the combined weight of t3.

[0064] In this embodiment, the first reference index F I Taking the pth candidate indicator as an example, the calculation method of the corresponding reference weight is described in detail: ; in, The first reference index F I The reference weight corresponding to the pth candidate indicator in the equation, is the combined weight of the pth first candidate indicator, The first reference index F IThe sum of the combined weights of all first candidate indicators.

[0065] S993: Take all reference weights corresponding to each of the first reference indicators as new combined weights and calculate to obtain a reference verification result. The calculation method is similar to step S94 and will not be described in detail here.

[0066] S994. Take the first reference indicator corresponding to the reference verification result whose distance from the second evaluation result is not greater than the verification threshold as the second reference indicator.

[0067] S995. Compare the combined weights of all the second reference indicators corresponding to the removed first candidate indicators, increase the fitness weight of the second reference indicator corresponding to the minimum value, and decrease the combined weight of the first candidate indicators corresponding to the minimum value.

[0068] It should be noted that the change in the fitness weight each time is preset to be Δβ, and the fitness weight of the first candidate indicator that is removed is updated to be equal to the difference between the fitness weight before the update and Δβ, and the sum of the fitness weights of the first candidate indicator that is not removed (i.e., the first reference indicator) is updated to be 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 fitness weight, i.e., less than 1, the opinions of at least two consumables access assessment personnel are collected through multiple iterations of fitness weight updates to reduce the influence of subjective factors on the formulation of access indicator rules, so as to reduce the adverse effects of misoperation on access indicator rules during the access assessment of medical consumables.

[0069] It should be noted that different types of medical consumables have different evaluation standards under different indicators. For example, when evaluating the safety of implantable consumables, in addition to considering their chemical stability, their long-term nature 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 other products with the same conditions. Therefore, based on the uniformly formulated access rules for medical consumables, this application further fine-tunes the weights of the access indicators through the adaptability weights through iterative updates, so as to achieve targeted matching of appropriate access evaluation rules according to the product categories of medical consumables. At the same time, this method enables the formulated access indicator rules to be dynamically adjusted to adapt to the speed of renewal of medical consumables.

[0070] According to the second aspect of the present invention, the present invention claims a system for constructing a medical consumables access index system, referring to the attached Figure 3 As shown, including: A first acquisition module, the first acquisition module is used to construct a hierarchical structure of medical consumables access indicators according to the hierarchical analysis method, and obtain initial access indicators according to the hierarchical structure; A second acquisition module, the second acquisition module is used to obtain the admission evaluation results and adjustment suggestions of the target indicator evaluation group for each of the initial admission indicators by using the Delphi analysis method; A first generating module, the first generating module is used to generate a target admission indicator according to the admission evaluation results and the adjustment suggestions of all the initial admission indicators; A first processing module, the first processing module is used to calculate the combined weight of all admission indicators at each level of the target admission indicators by using the hierarchical analysis method; The second generating module is used to obtain the target entry indicator rule according to the target entry indicator with the lowest hierarchy and the corresponding combination weight.

[0071] In a feasible embodiment, the system also includes a second processing module, which is used to take the target standard entry indicator with the lowest hierarchy as the first candidate indicator; obtain the evaluation result of the first candidate indicator of the target consumable; obtain the corresponding fitness weight according to the product category of the target consumable and the first candidate indicator; calculate the verification result component according to the product of the evaluation result of the first candidate indicator, the fitness weight and the combination weight; calculate the corresponding verification result according to the sum of all the verification result components corresponding to the second candidate indicator; if there is a verification result and the distance between the target consumable and the corresponding second candidate indicator is greater than the verification threshold, the fitness verification result of the product category and the corresponding second candidate indicator is set to failed.

[0072] In a feasible embodiment, the second processing module also includes obtaining a first reference indicator after removing each of the first candidate indicators respectively; 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 weights of the corresponding second candidate indicators, and the ratio between all the first reference indicators is consistent with that before the update; calculating the corresponding verification result component after the update according to the updated combined weight; calculating the updated verification result according to all the verification result components corresponding to the corresponding second candidate indicators after the update, increasing the fitness weight corresponding to the first reference indicator whose fitness verification result is passed, and reducing the fitness weights of the remaining first candidate indicators.

[0073] In a feasible embodiment, the second processing module also includes that the total amount of changes of all increased fitness weights is equal to the total amount of changes of all reduced fitness weights, and the amount of change of all reduced fitness weights is less than the minimum value of the corresponding fitness weights before updating.

[0074] In a feasible embodiment, the second processing module also includes updating the first candidate indicator to the second candidate indicator if there is no verification result and the distance between the target consumable and the corresponding second candidate indicator is greater than the verification threshold, obtaining the new second candidate indicator, and returning to execute the step until all hierarchical structures are traversed.

[0075] In a feasible implementation manner, the second processing module further includes a specific value of the verification threshold that increases as the level corresponding to the first candidate indicator increases.

[0076] Refer to the attached Figure 4 As shown, 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 shown), the memory stores a computer program executable by the processor, and when the computing device is running, the processor executes the computer program to execute the system in any optional implementation of the above embodiments.

[0077] The embodiment of the present application provides a storage medium, and when the computer program is executed by the processor, the system in any optional implementation of the above embodiment is executed. 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 (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic storage, flash memory, disk or optical disk.

[0078] In the embodiments provided in the present application, it should be understood that the disclosed system can be implemented in other ways. The system embodiments described above are merely schematic. For example, the division of the modules is only a logical function division, and can be implemented in another way. For 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 mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some communication interface, system or unit, which can be electrical, mechanical or other forms.

[0079] 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 distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0080] Furthermore, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0081] Flowcharts are used herein to illustrate the steps of the method of the embodiments of the present disclosure. It should be understood that the preceding or following steps are not necessarily performed precisely in order. On the contrary, various steps may be evaluated in reverse order or simultaneously. At the same time, other operations may also be added to these processes.

[0082] 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 common dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an idealized or highly formal sense, unless explicitly defined as such herein.

[0083] The above is a detailed introduction to a method and system for constructing a medical consumables access index system. This article uses specific examples to illustrate the principles and implementation methods of this application. The above embodiments are only examples of this application, which are only used to help understand the method and system for constructing a medical consumables access index system of this application, and are not used to limit the scope of protection of this application. At the same time, for those skilled in the art, this application can have various changes and variations. Any modifications and equivalent substitutions made within the spirit and principles of this application should be included in the scope of protection of this application.

Claims

1. A method for constructing a medical consumables access index system, characterized in that: include: Constructing a hierarchical structure of medical consumables access indicators according to the analytic hierarchy process, and obtaining initial access indicators according to the hierarchical structure; Using the Delphi analysis method to obtain the admission evaluation results and adjustment suggestions of the target indicator evaluation group for each of the initial admission indicators; generating target admission indicators based on the admission evaluation results and adjustment suggestions of all the initial admission indicators; The combined weights of all the admission indicators at each level of the target admission indicators are calculated using the analytic hierarchy process; The target entry indicator rule is obtained according to the target entry indicator at the lowest level of the hierarchy and the corresponding combination weight.

2. A method for constructing a medical consumables access index system according to claim 1, characterized in that: The method further comprises: The objective with the lowest level in the hierarchy is selected as the first candidate indicator; Obtaining a first evaluation result of the target consumable on the first candidate indicator; Obtaining a corresponding fitness weight according to the product category of the target consumables and the first candidate indicator; The verification result component is calculated according to the product of each first evaluation result, the corresponding fitness weight and the corresponding combination weight; The parent indicator of the first candidate indicator is used 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 a second evaluation result of the target consumable on the second candidate indicator; If there is a verification result whose distance from the second evaluation result is greater than the verification threshold, the adaptation degree verification result of the target consumable is set to fail.

3. A method for constructing a medical consumables access index system according to claim 2, characterized in that: After the step of setting the result of the adaptation degree verification of the target consumable to be failed, the step further includes: Taking the second candidate indicator corresponding to the verification result whose distance from the second evaluation result is greater than the verification threshold as the third candidate indicator; Remove each first candidate indicator of the third candidate indicator in turn to obtain a first reference indicator; The corresponding reference weight is calculated according to the proportion of the combined weight of each first candidate indicator in the first reference indicator to the sum of the combined weights of all first candidate indicators in the corresponding first reference indicator; Taking all reference weights corresponding to each of the first reference indicators as new combined weights, and calculating a reference verification result; Taking the first reference indicator corresponding to the reference verification result whose distance from the second evaluation result is not greater than the verification threshold as the second reference indicator; The combined weights of all the second reference indicators corresponding to the removed first candidate indicators are compared, the fitness weight of the second reference indicator corresponding to the minimum value is increased, and the combined weight of the first candidate indicators corresponding to the minimum value is reduced.

4. A method for constructing a medical consumables access index system according to claim 3, characterized in that: The method further includes: the sum of the total changes of all increased fitness weights is the same as the sum of the total changes of all decreased fitness weights, and the changes of all decreased fitness weights are less than the preset initial values ​​of the fitness weights.

5. A method for constructing a medical consumables access index system according to claim 2, characterized in that: After obtaining the second evaluation result of the second candidate indicator of the target consumable, the method further includes: If the distances between all the verification results and the second evaluation result are greater than the verification threshold, the second candidate indicator is used as the new first candidate indicator, and the process returns to the step of obtaining the first evaluation result of the target consumable under the first candidate indicator until all hierarchical structures are traversed.

6. A method for constructing a medical consumables access index system according to claim 5, characterized in that: The specific value of the verification threshold increases as the level corresponding to the first candidate indicator increases.

7. A system for constructing a medical consumables access index system, characterized in that: include: A first acquisition module, the first acquisition module is used to construct a hierarchical structure of medical consumables access indicators according to the hierarchical analysis method, and obtain initial access indicators according to the hierarchical structure; A second acquisition module, wherein the second acquisition module is used to obtain the admission evaluation results and adjustment suggestions of the target indicator evaluation group for each of the initial admission indicators by using the Delphi analysis method; A first generating module, the first generating module is used to generate a target admission indicator according to the admission evaluation results and the adjustment suggestions of all the initial admission indicators; A first processing module, the first processing module is used to calculate the combined weight of all admission indicators at each level of the target admission indicators by using the hierarchical analysis method; The second generating module is used to obtain the target entry indicator rule according to the target entry indicator with the lowest hierarchy and the corresponding combination weight.

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