Method, computer device and storage medium for rapid modeling of indicator market

Abstract

The present application relates to a method, computer equipment and storage medium for rapid modeling of an indicator mart, which includes obtaining assessment system data information, obtaining the indicator mart name, indicator mart classification information and indicator mart SN number and other data according to the assessment system data information, arranging the indicator mart according to the indicator mart SN number in a preset order according to the indicator mart classification information; establishing a custom indicator and establishing indicator relationship information with the atomic indicator, and saving the custom indicator to a tree directory hierarchy; matching the corresponding attribute business logic rules according to the indicator relationship information, assigning or supplementing attributes to the custom indicator, and obtaining indicator attribute information; establishing department indicator authorization relationships and indicator meta-field association relationships according to the indicator relationship information; obtaining business system data, and generating indicator configuration parameters according to the business system data; generating an indicator mart model according to the above steps. The present application has the effect of improving the efficiency of modeling the indicator mart.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method for quickly modeling an indicator market, a computer device and a storage medium. Background Art

[0002] At present, new indicator assessment systems are often released in the medical field, which requires us to build many new indicator models.

[0003] The existing indicator mart modeling includes the relationship between indicators, the assignment of values ​​to various attributes of indicators, and the construction of calculation relationships between indicators and metadata. There are hundreds to thousands of indicators in the indicator system, involving a lot of business metadata of existing old systems, which often requires a long time to manually adjust.

[0004] The above-mentioned prior art solutions have the following defects:

[0005] The existing reference models reference many indicators with a high duplication rate. After the indicators are split into numerators and denominators, the number of indicators is large and the reference relationships between indicators are even more complex, resulting in low efficiency in indicator mart modeling.

[0006] With respect to the above-mentioned related technologies, the inventor believes that there is a defect that the efficiency of indicator market modeling is low. Summary of the invention

[0007] In order to improve the efficiency of modeling the indicator mart, the present application provides a method for quickly modeling the indicator mart.

[0008] The above-mentioned invention objective of the present application is achieved through the following technical solutions:

[0009] A method for quickly modeling an indicator market, the method for quickly modeling an indicator market comprising:

[0010] Acquire the assessment system data information, acquire the indicator market name, indicator market classification information, indicator market SN number and atomic indicator according to the assessment system data information, arrange the indicator markets corresponding to the indicator market name according to the corresponding indicator market SN numbers in a preset order according to the indicator market classification information, and establish a tree-like directory hierarchy of the indicator market;

[0011] Establishing a custom indicator, establishing indicator relationship information according to the custom indicator and the atomic indicator, and saving the custom indicator to the tree directory hierarchy;

[0012] Matching the corresponding attribute business logic rules according to the indicator relationship information, assigning or supplementing attributes to the custom indicator according to the attribute business logic rules, and obtaining indicator attribute information;

[0013] Dimensionally define the indicator market according to the assessment system data information, generate dimension definition information, and establish department indicator authorization relationship and indicator meta-field association relationship according to the indicator relationship information;

[0014] Acquire business system data, and generate indicator configuration parameters according to the business system data;

[0015] An indicator mart model is comprehensively generated according to the indicator mart name, the indicator relationship information, the indicator attribute information, the dimension definition information, the department indicator authorization relationship, the indicator meta-field association relationship and the indicator configuration parameters.

[0016] By adopting the above technical solution, the assessment system data information is obtained, and then the indicator market name, indicator market classification information, indicator market SN number and atomic indicator are obtained. According to the indicator market classification information, the indicator market is arranged in a preset order according to the corresponding indicator market SN number, so as to establish a tree directory hierarchy of the indicator market, so as to facilitate subsequent data retrieval, thereby improving the efficiency of indicator market modeling; by establishing custom indicators, the indicator name of the newly created custom indicator is matched with the indicator name of the atomic indicator, so as to establish the relationship between the indicators according to the corresponding relationship establishment rules according to different matching results, generate indicator relationship information, and save the custom indicators in the tree directory hierarchy, avoiding arbitrary references, reducing duplicate data in the model, and improving the simplicity of indicator market modeling; matching the attribute business logic rules corresponding to the custom indicator through the indicator relationship information, and then assigning or supplementing the attributes of the custom indicator according to the attribute business logic rules to generate indicator attribute information, and by adopting strict attribute business logic rules, the error rate of attribute assignment and supplementation is reduced, and the risk of data confusion is reduced; the time dimension information and machine information of other medical system indicator markets are obtained through the assessment system data information analysis. The dimension information is constructed, and then the time dimension and organization dimension of the indicator market to be modeled are defined. Then, according to the business and field classification of the indicator market, the theme dimension of the indicator market is defined, so as to generate dimension definition information by combining the time dimension, organization dimension and theme dimension of the indicator market, obtain the department information and meta-field information to be established, match the indicator relationship information between the corresponding custom indicators, and thus establish the department indicator authorization relationship and the indicator meta-field association relationship in a preset order. The specific relationship information is consistent with the corresponding indicator relationship information. By defining the dimension of the custom indicator and establishing the department indicator authorization relationship and the indicator meta-field association relationship, users can quickly find the custom indicators and atomic indicators they need, thereby improving the convenience of modeling the indicator market; by obtaining the business system data, matching the fields in the business system with the meta-field library, converting the unique fields in each business system into professional fields in the meta-field library, thereby generating indicator detail values, and then generating indicator dimension summary values ​​in combination with the dimension definition information, analyzing and obtaining the indicator configuration parameters, reducing the amount of redundant fields caused by inconsistent naming rules, and finally integrating the above-mentioned data to model the indicator market, thereby improving the efficiency of modeling the indicator market.

[0017] In a preferred example, the present application may be further configured as follows: the establishment of indicator relationship information according to the custom indicator and the atomic indicator specifically includes:

[0018] Performing field matching on the indicator name of the custom indicator and the indicator name of the atomic indicator to obtain a matching result;

[0019] When the matching result is a complete match, obtaining a reference relationship establishment rule, and establishing an inter-indicator reference relationship between the custom indicator and the atomic indicator according to the reference relationship establishment rule;

[0020] When the matching result is that only the core keyword is completely matched, a derivative relationship establishment rule is obtained, and an inter-indicator derivative relationship is established between the custom indicator and the atomic indicator according to the derivative relationship establishment rule;

[0021] Decomposing the calculation method of the atomic indicator to generate a derived indicator, obtaining a derivation relationship establishment rule, and establishing an inter-indicator derivation relationship between the derived indicator and the corresponding atomic indicator according to the derivation relationship establishment rule;

[0022] Indicator relationship information is generated according to the reference relationship between indicators, the derivative relationship between indicators and the derived relationship between indicators.

[0023] By adopting the above technical scheme, the indicator name of the custom indicator is matched with the indicator name of the atomic indicator through the field. When there is a complete match, the preset reference relationship establishment rule is obtained, and the inter-indicator reference relationship is established between the custom indicator and the atomic indicator according to the reference relationship establishment rule. When only the core keyword is completely matched, the preset derivative relationship establishment rule is obtained, and the inter-indicator derivative relationship is established between the custom indicator and the atomic indicator according to the derivative relationship establishment rule. The calculation method of the atomic indicator is decomposed to obtain the derived indicator, and then the inter-indicator derivative relationship is established between the derived indicator and the corresponding atomic indicator according to the preset derivative relationship establishment rule. Then, the inter-indicator reference relationship, the inter-indicator derivative relationship and the inter-indicator derivative relationship are integrated to generate indicator relationship information, thereby avoiding arbitrary references, reducing duplicate data in the model, and improving the simplicity of indicator mart modeling.

[0024] In a preferred example, the present application can be further configured as follows: the content of the reference relationship establishment rule specifically includes:

[0025] Obtaining a name similarity threshold, and calculating the name similarity between the indicator name of the custom indicator and the indicator name of the atomic indicator, and comparing the name similarity with the name similarity threshold to obtain a comparison result;

[0026] When the comparison result is that the name similarity is greater than the name similarity threshold, the SN numbers of the atomic indicator and the custom indicator are obtained and compared to obtain a comparison result; when the SN number of the custom indicator is smaller than the SN number of the corresponding atomic indicator, an inter-indicator reference relationship is allowed to be established between the custom indicator and the atomic indicator;

[0027] When the comparison result points to multiple atomic indicators, a reference relationship between the custom indicator and the matched atomic indicator with the smallest SN number in the indicator market is established according to the minimum matching rule;

[0028] When there are nested reference forms and indirect reference forms between the custom indicators or between the custom indicators and the atomic indicators, the nested reference forms and the indirect reference forms are converted into direct reference forms.

[0029] By adopting the above technical solution, a preset name similarity threshold is obtained, and the name similarity between the indicator name of the custom indicator and the indicator name of the atomic indicator is calculated. When the name similarity is greater than the name similarity threshold, the SN number of the atomic indicator and the SN number of the custom indicator are obtained and compared. When the SN number of the custom indicator is smaller than the SN number of its corresponding atomic indicator, it is allowed to establish an inter-indicator reference relationship between the custom indicator and the corresponding atomic indicator, thereby conditionally limiting the establishment of the inter-indicator reference relationship between the custom indicators to prevent data confusion caused by arbitrary references. When the comparison result points to multiple atomic indicators, the atomic indicator with the smallest SN number is selected to establish an inter-indicator reference relationship. When there are nested reference forms and indirect reference forms between custom indicators or between custom indicators and atomic indicators, both are converted into direct reference forms, and only the atomic indicator that is finally referenced is saved, and the complete reference chain is no longer saved, thereby simplifying the storage process.

[0030] In a preferred example, the present application can be further configured as follows: the content of the derivation relationship establishment rule specifically includes:

[0031] When establishing a derivative relationship between indicators, the indicator attribute information of the atomic indicator is obtained, and the custom indicator is assigned a value according to the pre-stored multiple derivative business rule algorithms based on the indicator attribute information of the atomic indicator to obtain the corresponding indicator attribute information;

[0032] The actual value of the atomic indicator is obtained, and the actual value of the custom indicator is calculated according to the actual value of the atomic indicator.

[0033] By adopting the above technical solution, when establishing a derivative relationship between indicators, the indicator attribute information of the atomic indicator is obtained, and the custom indicator is assigned according to multiple pre-stored derivative business rule algorithms to obtain the corresponding indicator attribute information, and the actual value of the atomic indicator is obtained. Then, the actual value of the custom indicator is calculated through a mathematical algorithm. When establishing a derivative relationship between indicators, preliminary rule limitations are made on the attribute assignment and parameter configuration of the custom indicator under the derivative relationship between indicators, so as to facilitate subsequent attribute assignment or supplementation and parameter configuration, thereby improving the efficiency of indicator mart modeling.

[0034] In a preferred example, the present application can be further configured as follows: the derivation relationship establishment rule specifically includes:

[0035] In the tree-like directory hierarchy, the derived index is established under the corresponding atomic index;

[0036] The name of the existing atomic indicator is matched according to the name of the derived indicator, and when the matching result is a complete match, an inter-indicator reference relationship is established between the derived indicator and the corresponding atomic indicator.

[0037] By adopting the above technical solution, when establishing a derived relationship between indicators, the derived indicator is established below the corresponding atomic indicator in the tree directory hierarchy, and the name of the derived indicator and the name of the atomic indicator are matched. When a perfect match is achieved, a reference relationship between indicators is established between the derived indicator and the corresponding atomic indicator, which improves the correlation between the data between indicators, facilitates subsequent retrieval, and improves the efficiency of indicator mart modeling.

[0038] In a preferred example, the present application can be further configured as follows: the attribute business logic rules specifically include:

[0039] Match the indicator relationship information according to the name of the custom indicator to obtain a matching result;

[0040] When the matching result is that the custom indicator has a reference relationship between indicators, the indicator attribute information of the custom indicator is consistent with the indicator attribute information of the referenced atomic indicator;

[0041] When the matching result is that the custom indicator has a derivative relationship between indicators, the derived matching attribute name is obtained, and the derived matching attribute name is compared with the indicator attribute name of the corresponding atomic indicator. If the two are the same, the corresponding indicator attribute information is consistent;

[0042] When the matching result is that there is a derived relationship between the custom indicators, the derived matching attribute name is obtained, and the derived matching attribute name is compared with the indicator attribute name of the corresponding atomic indicator. If the two are the same, the corresponding indicator attribute information remains consistent.

[0043] By adopting the above technical scheme, the relationship between corresponding custom indicators is matched through the name of the custom indicator. When the custom indicator has a reference relationship between indicators, the indicator attribute information of the custom indicator is consistent with the indicator attribute information of the referenced atomic indicator, that is, it is directly copied from the referenced atomic indicator. When the custom indicator has a derived relationship between indicators or a derived relationship between indicators, the corresponding derived matching attribute name or derived matching attribute name is obtained, and then matched with the indicator attribute name of the atomic indicator. If the derived matching attribute name or the derived matching attribute name is consistent with the name of the indicator attribute information of the corresponding atomic indicator, the corresponding indicator attribute information directly copies the indicator attribute information corresponding to the atomic indicator. By adopting strict attribute business logic rules, the error rate of attribute assignment and supplementation is reduced, and the risk of data confusion is reduced.

[0044] In a preferred example, the present application can be further configured as follows: the indicator market is dimensionally defined according to the assessment system data information, dimension definition information is generated, and department indicator authorization relationships and indicator meta-field association relationships are established according to the indicator relationship information, specifically including:

[0045] Acquire time dimension information and organization dimension information of other indicator markets according to the assessment system data information, and define the time dimension and organization dimension of the indicator market according to the time dimension information and the organization dimension information;

[0046] Acquire the business and field classification of the indicator mart, and automatically generate the subject dimension of the indicator mart according to the business and / or the field classification;

[0047] Generate dimension definition information according to the time dimension, the organization dimension and the subject dimension;

[0048] Obtain department information and meta-field information, match the department information and meta-field information with the indicator relationship information of the corresponding atomic indicators or custom indicators, and establish department indicator authorization relationship and indicator meta-field association relationship in a preset order according to the indicator relationship information.

[0049] By adopting the above technical solution, the time dimension information and institutional dimension information of other medical system indicator marts in the system are obtained through the assessment system data information, and then the time dimension and institutional dimension of the indicator mart are defined. The specific content is directly copied from the time dimension information and institutional dimension information of other indicator marts to obtain the business and field classification of the indicator mart, so as to automatically generate the subject dimension of the indicator mart according to business customization or field classification, and further generate dimension definition information according to the time dimension, institutional dimension and subject dimension of the indicator mart. The indicator mart is dimensionally defined through the existing dimension information, which reduces manual operations and further improves the efficiency of indicator mart modeling. By obtaining the department information and meta-field information that need to be established, matching the indicator relationship information between the corresponding atomic indicators, the department indicator authorization relationship and the indicator meta-field association relationship are established in a preset order, and the specific relationship information is consistent with the corresponding indicator relationship information, so that users can quickly find the custom indicators they need, which further improves the convenience of indicator mart modeling.

[0050] In a preferred example, the present application may be further configured as follows: generating indicator configuration parameters according to the business system data specifically includes:

[0051] Obtain a meta-field library, match the business system data according to the meta-field library, and generate an indicator detail value;

[0052] Generate indicator dimension summary values ​​according to the dimension definition information and the indicator detail values, and generate indicator configuration parameters according to the indicator dimension summary value analysis.

[0053] By adopting the above technical solution, by acquiring business system data, matching the fields in the business system with the meta-field library, and converting the unique fields in each business system into professional fields in the meta-field library, the indicator detailed values ​​are generated, and then the indicator dimension summary values ​​are generated in combination with the dimension definition information. The indicator configuration parameters are analyzed to reduce the amount of redundant fields caused by inconsistent naming rules of various medical systems, and further improve the simplicity of indicator mart modeling.

[0054] The above-mentioned second objective of the present application is achieved through the following technical solutions:

[0055] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned method for rapid modeling of an indicator market are implemented.

[0056] The third objective of the present application is achieved through the following technical solutions:

[0057] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for rapid modeling of an indicator market.

[0058] In summary, the present application includes at least one of the following beneficial technical effects:

[0059] 1. Perform field matching between the indicator name of the custom indicator and the indicator name of the atomic indicator. When there is a complete match, obtain the preset reference relationship establishment rule, and establish an indicator reference relationship between the custom indicator and the atomic indicator according to the reference relationship establishment rule. When only the core keyword is completely matched, obtain the preset derivative relationship establishment rule, and establish an indicator derivative relationship between the custom indicator and the atomic indicator according to the derivative relationship establishment rule. Decompose the calculation method of the atomic indicator to obtain the derived indicator, and then establish an indicator derivative relationship between the derived indicator and the corresponding atomic indicator according to the preset derivative relationship establishment rule, and then integrate the indicator reference relationship. The derived relationship between indicators and the derived relationship between indicators generate indicator relationship information, avoiding random references and reducing duplicate data in the model. The SN numbers of atomic indicators and custom indicators are obtained and compared. When the comparison result points to multiple atomic indicators, the atomic indicator with the smallest SN number is selected to establish a reference relationship between indicators. When there are nested references and indirect references between custom indicators or between custom indicators and atomic indicators, the two are converted into direct reference relationships between indicators. Only the atomic indicator that is finally referenced is saved, and the complete reference chain is no longer saved. This simplifies the storage process and improves the simplicity of indicator mart modeling.

[0060] 2. By obtaining the preset name similarity threshold, and calculating the name similarity between the indicator name of the custom indicator and the indicator name of the atomic indicator, when the name similarity is greater than the name similarity threshold, the SN number of the atomic indicator and the SN number of the custom indicator are obtained and compared. When the SN number of the custom indicator is smaller than the SN number of its corresponding atomic indicator, it is allowed to establish an indicator reference relationship between the custom indicator and the corresponding atomic indicator, thereby conditionally limiting the establishment of an indicator reference relationship between the custom indicator or between the custom indicator and the atomic indicator to prevent arbitrary references. By matching the corresponding indicator relationship through the name of the custom indicator, when the custom indicator has an indicator When there is a reference relationship between indicators, the indicator attribute information of the custom indicator is consistent with the indicator attribute information of the referenced atomic indicator, that is, it is directly copied from the referenced atomic indicator. When the custom indicator has a derived relationship between indicators or a derived relationship between indicators, the corresponding derived matching attribute name or derived matching attribute name is obtained, and then matched with the indicator attribute name of the atomic indicator. If the derived matching attribute name or derived matching attribute name is consistent with the indicator attribute name of the corresponding atomic indicator, the corresponding indicator attribute information directly copies the indicator attribute information corresponding to the atomic indicator. By adopting strict attribute business logic rules, the error rate of attribute assignment and supplementation is reduced, and the risk of data confusion is reduced.

[0061] 3. When establishing a derivative relationship between indicators, by obtaining the indicator attribute information of the atomic indicator, assign values ​​to the custom indicator according to multiple pre-stored derivative business rule algorithms, obtain the corresponding indicator attribute information, obtain the actual value of the atomic indicator, and then calculate the actual value of the custom indicator through a mathematical algorithm. When establishing a derivative relationship between indicators, preliminary rule limitations are made on the attribute assignment and parameter configuration of the custom indicator under the derivative relationship between indicators to facilitate subsequent attribute assignment or supplementation and parameter configuration. When establishing a derivative relationship between indicators, the derived indicator is established under the corresponding atomic indicator in the tree directory hierarchy, and the name of the derived indicator and the name of the atomic indicator are matched. When a perfect match is achieved, a rule is defined between the derived indicator and the corresponding atomic indicator. Establishing reference relationships between indicators improves the relevance of data between custom indicators, facilitates subsequent retrieval, obtains time dimension information and institutional dimension information of other medical system indicator marts in the system through assessment system data information, and then defines the time dimension and institutional dimension of the indicator mart. The specific content is directly copied from the time dimension information and institutional dimension information of the indicator mart, and the business and field classification of the indicator mart is obtained, so as to automatically generate the subject dimension of the indicator mart according to business customization or field classification, and further generate dimension definition information according to the time dimension, institutional dimension and subject dimension of the indicator mart. The dimension of the indicator mart is defined through the existing dimension information, which reduces manual operations and improves the efficiency of indicator mart modeling.

[0062] 4. By obtaining the department information and meta-field information that need to be established, and matching the indicator relationship information between the corresponding atomic indicators, the department indicator authorization relationship and the indicator meta-field association relationship are established in a preset order. The specific relationship information is consistent with the corresponding indicator relationship information, allowing users to quickly find the indicators they need, thereby improving the convenience of indicator mart modeling. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is a flow chart of a method for rapid modeling of an indicator market in one embodiment of the present application.

[0064] Figure 2 It is a flowchart for implementing step S20 in the method for rapid modeling of the indicator mart in one embodiment of the present application.

[0065] Figure 3 It is a flowchart for implementing step S22 in the method for rapid modeling of the indicator mart in one embodiment of the present application.

[0066] Figure 4 It is a flowchart for implementing step S23 in the method for rapid modeling of the indicator market in one embodiment of the present application.

[0067] Figure 5 It is a flowchart for implementing step S24 in the method for rapid modeling of the indicator mart in one embodiment of the present application.

[0068] Figure 6 It is a flowchart for implementing step S30 in the method for rapid modeling of the indicator mart in one embodiment of the present application.

[0069] Figure 7 It is a flowchart for implementing step S40 in the method for rapid modeling of the indicator mart in one embodiment of the present application.

[0070] Figure 8 It is a flowchart for implementing step S50 in the method for rapid modeling of the indicator mart in one embodiment of the present application.

[0071] Fig. 9 It is a schematic diagram of a device in an embodiment of the present application. DETAILED DESCRIPTION

[0072] The present application is further described in detail below in conjunction with the accompanying drawings.

[0073] In one embodiment, if Figure 1 As shown, the present application discloses a method for quickly modeling an indicator market, which specifically includes the following steps:

[0074] S10: Obtain the assessment system data information, obtain the indicator market name, indicator market classification information, indicator market SN number and atomic indicators in the indicator market according to the assessment system data information, arrange the indicator market according to the corresponding indicator market SN number in a preset order according to the indicator market classification information, and establish a tree-like directory hierarchy of the indicator market.

[0075] In this embodiment, the assessment system data information refers to an indicator assessment system data set in the medical field; the atomic indicator refers to an assessment indicator; and the tree-like directory hierarchy refers to a tree-like directory hierarchy.

[0076] Specifically, by obtaining the assessment system data information, and then obtaining the indicator market name, indicator market classification information, indicator market SN number and atomic indicators in the indicator market, the indicator market is arranged from large to small according to the corresponding indicator market SN number such as "SN3-SN2-SN1" according to the indicator market classification information, thereby establishing a tree-like directory hierarchy of the indicator market to facilitate subsequent data retrieval.

[0077] S20: Create a custom indicator, establish indicator relationship information based on the custom indicator and the atomic indicator, and save the custom indicator to a tree directory hierarchy.

[0078] In this embodiment, the indicator relationship information refers to the relationship information between custom indicators and custom indicators, and between custom indicators and atomic indicators.

[0079] Specifically, by establishing a custom indicator, the indicator name of the newly created custom indicator is matched with the indicator name of the atomic indicator, so that the relationship between the indicators is established using corresponding relationship establishment rules based on different matching results, indicator relationship information is generated, and the custom indicator is saved in a tree directory hierarchy.

[0080] S30: Match the corresponding attribute business logic rules according to the indicator relationship information, assign or supplement attributes to the custom indicator according to the attribute business logic rules, and obtain indicator attribute information.

[0081] In this embodiment, the attribute business logic rule refers to a logic rule for limiting the method of assigning the attributes of the custom indicator.

[0082] Specifically, the preset attribute business logic rules corresponding to the custom indicator are matched through the indicator relationship information, and then the name of the custom indicator and the indicator relationship information are matched according to the attribute business logic rules, and the attributes of the custom indicator are correspondingly assigned or supplemented according to different matching results to generate indicator attribute information.

[0083] S40: Dimensions of the indicator mart are defined according to the assessment system data information, dimension definition information is generated, and department indicator authorization relationships and indicator meta-field association relationships are established according to the indicator relationship information.

[0084] In this embodiment, dimension definition information refers to the definition information of each dimension of the indicator market; department indicator authorization relationship refers to the relationship between the department and the custom indicator or atomic indicator; indicator meta-field association relationship refers to the relationship between the custom indicator or atomic indicator and the meta-field.

[0085] Specifically, through the business and field classification of the assessment system data information and the indicator mart, the time dimension, institutional dimension and subject dimension of the indicator mart are defined, and then the dimension definition information is generated, the department information and meta-field information that need to be established are obtained, and the indicator relationship information between the corresponding atomic indicators is matched, and the department indicator authorization relationship and the indicator meta-field association relationship are established in a preset order.

[0086] S50: Obtain business system data, and generate indicator dimension summary values ​​according to the business system data.

[0087] In this embodiment, the business system data refers to the assessment system data in the business system of each hospital; the indicator dimension summary value refers to the result value of summarizing the indicator data in a specific dimension.

[0088] Specifically, by acquiring business system data, matching the fields in the business system with the meta-field library, and converting the unique fields in each business system into professional fields in the meta-field library, detailed indicator values ​​are generated, and then combined with dimension definition information to generate indicator dimension summary values.

[0089] S60: Generate an indicator mart model based on the indicator mart name, indicator relationship information, indicator attribute information, dimension definition information, department indicator authorization relationship, indicator meta-field association relationship and indicator dimension summary value.

[0090] Specifically, the results generated in the previous steps are integrated and modeled to generate an indicator mart model.

[0091] In one embodiment, if Figure 2 As shown, in step S20, indicator relationship information is established according to the custom indicator and the atomic indicator, specifically including:

[0092] S21: Perform field matching on the indicator name of the custom indicator and the indicator name of the atomic indicator to obtain a matching result.

[0093] In this embodiment, the indicator name refers to the professional name of the custom indicator and the atomic indicator.

[0094] Specifically, according to the indicator name of the custom indicator and the indicator name of the atomic indicator, such as "number of outpatient patients", field matching is performed to obtain a matching result.

[0095] S22: When the matching result is a complete match, a reference relationship establishment rule is obtained, and an inter-indicator reference relationship is established between the custom indicator and the atomic indicator according to the reference relationship establishment rule.

[0096] In this embodiment, the reference relationship establishment rule refers to the rule that needs to be followed to establish the reference relationship between indicators.

[0097] Specifically, when the matching result is a complete match, such as "custom indicator: number of outpatients, atomic indicator: number of outpatients", a preset reference relationship establishment rule is obtained, and an inter-indicator reference relationship is established between the custom indicator and the atomic indicator according to the reference relationship establishment rule.

[0098] S23: When the matching result is that only the core keyword is completely matched, a derivative relationship establishment rule is obtained, and an inter-indicator derivative relationship is established between the custom indicator and the atomic indicator according to the derivative relationship establishment rule.

[0099] In this embodiment, the derivative relationship establishment rule refers to the rule that needs to be followed to establish the derivative relationship between indicators.

[0100] Specifically, only when the core keywords are completely matched, such as "custom indicator: number of emergency outpatient patients, atomic indicator: number of outpatient patients", the preset derivative relationship establishment rules are obtained, and the inter-indicator derivative relationship is established between the custom indicator and the atomic indicator according to the derivative relationship establishment rules.

[0101] S24: Decomposing the calculation method of the atomic indicator to generate a derived indicator, obtaining a derivation relationship establishment rule, and establishing an inter-indicator derivation relationship between the derived indicator and the corresponding atomic indicator according to the derivation relationship establishment rule.

[0102] In this embodiment, the derivation relationship establishment rule refers to the rule that needs to be followed to establish the derivation relationship between indicators.

[0103] Specifically, the calculation method of decomposing atomic indicators is used to obtain derived indicators, such as "the ratio of outpatient visits to discharges = the number of outpatients / the number of outpatients / the number of discharged patients in the same period, the latter two are derived indicators of the atomic indicator 'the ratio of outpatient visits to discharges'", and then a derivation relationship is established between the derived indicators "the number of outpatients / the number of outpatients" and "the number of discharged patients in the same period" and the corresponding atomic indicator "the ratio of outpatient visits to discharges" according to the preset derivation relationship establishment rules.

[0104] S25: Generate indicator relationship information according to the reference relationship between indicators, the derivative relationship between indicators and the derived relationship between indicators.

[0105] Specifically, indicator relationship information is generated based on the inter-indicator reference relationship, inter-indicator derivative relationship and inter-indicator derived relationship of the custom indicators.

[0106] In one embodiment, if Figure 3 As shown, in step S22, the content of the reference relationship establishment rule specifically includes:

[0107] S221: Obtain a name similarity threshold, calculate the name similarity between the indicator name of the custom indicator and the indicator name of the atomic indicator, compare the name similarity with the name similarity threshold, and obtain a comparison result.

[0108] In this embodiment, the name similarity threshold refers to the minimum value of the name similarity for establishing a reference relationship between indicators.

[0109] Specifically, a preset name similarity threshold, such as 80%, is obtained, and the name similarity between the indicator name of the custom indicator and the indicator name of the atomic indicator is calculated, and the name similarity is compared with the name similarity threshold of 80% to obtain a comparison result.

[0110] S222: When the comparison result is that the name similarity is greater than the name similarity threshold, the SN numbers of the atomic indicator and the custom indicator are obtained and compared to obtain the comparison result. When the SN number of the custom indicator is smaller than the SN number of the corresponding atomic indicator, a reference relationship between the custom indicator and the atomic indicator is allowed to be established.

[0111] Specifically, when the name similarity is greater than the name similarity threshold, such as the name similarity is 90%, the SN number of the atomic indicator and the SN number of the custom indicator are obtained and compared. When the SN number of the custom indicator is smaller than the SN number of its corresponding atomic indicator, such as "custom indicator SN1, atomic indicator SN3", it is allowed to establish an inter-indicator reference relationship between the custom indicator and the corresponding atomic indicator.

[0112] S223: When the comparison result points to multiple atomic indicators, a reference relationship between the custom indicator and the matched atomic indicator with the smallest SN number in the indicator market is established according to the minimum matching rule.

[0113] Specifically, when performing a comparison, if there are multiple matched atomic indicator names and the name similarity is greater than 80%, then according to the minimum matching principle, an inter-indicator reference relationship is established between the matched atomic indicator with the smallest SN number in the indicator mart and the custom indicator, such as: custom indicator: number of patients discharged from outpatient clinics, atomic indicator: SN1 number of patients discharged from emergency outpatient clinics, atomic indicator: SN2 number of patients discharged from pediatric outpatient clinics, then an inter-indicator reference relationship is established between the custom indicator "number of patients discharged from outpatient clinics" and the atomic indicator with the smallest SN number "number of patients discharged from emergency outpatient clinics".

[0114] S224: When there are nested reference forms and indirect reference forms between custom indicators or between custom indicators and atomic indicators, the nested reference forms and indirect reference forms are converted into direct reference forms.

[0115] Specifically, when there are nested reference forms and indirect reference forms between custom indicators or between custom indicators and atomic indicators, the two are converted into direct reference relationships between indicators, and only the atomic indicator that is finally referenced is saved, and the complete reference chain is no longer saved. For example, "custom indicator ID1 references custom indicator ID3, and custom indicator ID3 references custom indicator ID5, then only custom indicator ID1 references custom indicator ID5, then finally only custom indicator ID1 references custom indicator ID5" is saved.

[0116] In one embodiment, if Figure 4 As shown, in step S23, the content of the derivation relationship establishment rule specifically includes:

[0117] S231: When establishing a derivative relationship between indicators, obtain the indicator attribute information of the atomic indicator, assign values ​​to the custom indicator according to the indicator attribute information of the atomic indicator according to multiple pre-stored derivative business rule algorithms, and obtain corresponding indicator attribute information.

[0118] In this embodiment, the indicator attribute information refers to information including custom indicator attributes;

[0119] Specifically, when establishing the derivative relationship between indicators, the indicator attribute information of the atomic indicator is obtained, and the calculation is performed according to the pre-stored multiple derivative business rule algorithms. The custom indicator is assigned a value according to the calculation result to obtain the corresponding indicator attribute information.

[0120] S232: Obtain the actual value of the atomic indicator, and calculate the actual value of the custom indicator based on the actual value of the atomic indicator.

[0121] In this embodiment, the actual value of the atomic indicator refers to the specific parameter value of the atomic indicator.

[0122] Specifically, under the derivative relationship between indicators, the actual value of the custom indicator is calculated using a mathematical algorithm based on the actual value of the atomic indicator.

[0123] In one embodiment, if Figure 5 As shown, in step S24, the content of the derivation relationship establishment rule specifically includes:

[0124] S241: In the tree directory hierarchy, derived indicators are established under corresponding atomic indicators.

[0125] Specifically, when decomposing the atomic indicators to generate derived indicators, the derived indicators such as "number of outpatients" are directly established under the corresponding atomic indicator "ratio of outpatients to discharges" in the tree directory hierarchy.

[0126] S242: Match the name of the existing atomic indicator according to the name of the derived indicator, and when the matching result is a complete match, establish an inter-indicator reference relationship between the derived indicator and the corresponding atomic indicator.

[0127] Specifically, a search is performed in the indicator market according to the name of the derived indicator to match the names of the existing atomic indicators therein, the first complete match is returned and the corresponding atomic indicator is returned, and an inter-indicator reference relationship is established between the derived indicator and the matched atomic indicator.

[0128] In one embodiment, if Figure 6 As shown, in step S30, the content of the attribute business logic rule specifically includes:

[0129] S31: Match indicator relationship information according to the name of the custom indicator to obtain a matching result.

[0130] Specifically, according to the name of the custom indicator, such as "number of outpatient patients", the corresponding indicator relationship information is matched to obtain a matching result.

[0131] S32: When the matching result is that there is a reference relationship between indicators in the custom indicator, the indicator attribute information of the custom indicator is consistent with the indicator attribute information of the referenced atomic indicator.

[0132] Specifically, when the matching result is that there is a reference relationship between indicators for custom indicators, all indicator attribute information of the custom indicators is consistent with the indicator attribute information of the referenced atomic indicators. For example, "the indicator attribute information of the atomic indicator 'number of discharged patients' is 'time, quantity', then the indicator attribute information of the corresponding custom indicator 'number of discharged patients per month' is also 'time, quantity'".

[0133] S33: When the matching result is that there is a derivative relationship between indicators in the custom indicator, the derived matching attribute name is obtained, and the derived matching attribute name is compared with the indicator attribute name of the corresponding atomic indicator. If the two are the same, the corresponding indicator attribute information remains consistent.

[0134] In this embodiment, the derived matching attribute name refers to an attribute name that needs to remain consistent under the derived relationship between indicators.

[0135] Specifically, when the matching result is that there is a derivative relationship between indicators in the custom indicator, the derived matching attribute name is obtained, and the derived matching attribute name is compared with the indicator attribute name of the corresponding atomic indicator. If the two are the same, the corresponding indicator attribute information, such as "frequency of use, responsible department, verification department, audit department, and summary algorithm" remains consistent.

[0136] S34: When the matching result is that there is a derivation relationship between indicators for the custom indicator, the derived matching attribute name is obtained, and the derived matching attribute name is compared with the indicator attribute name of the corresponding atomic indicator. If the two are the same, the corresponding indicator attribute information remains consistent.

[0137] In this embodiment, the derived matching attribute name refers to an attribute name that needs to remain consistent under the derived relationship between indicators.

[0138] Specifically, when the matching result is that there is a derivation relationship between indicators in a custom indicator, the derived matching attribute name is obtained, and the derived matching attribute name is compared with the indicator attribute name of the corresponding atomic indicator. If the two are the same, the corresponding indicator attribute information, such as "importance, frequency of use, responsible department, verification department, review department, and summary algorithm" remains consistent.

[0139] In one embodiment, if Figure 7 As shown, in step S40, the indicator market corresponding to the indicator market name is dimensionally defined according to the assessment system data information, dimension definition information is generated, and department indicator authorization relationship and indicator meta-field association relationship are established according to the indicator relationship information, specifically including:

[0140] S41: Obtain the time dimension information and the institutional dimension information of the indicator market of other medical systems according to the data information of the assessment system, and define the time dimension and the institutional dimension of the indicator market according to the time dimension information and the institutional dimension information.

[0141] In this embodiment, the time dimension information refers to the time dimension of other medical system indicator marts; the institution dimension information refers to the institution dimension of other medical system indicator marts.

[0142] Specifically, the time dimension information and institutional dimension information of the indicator marts of other medical systems in the system are obtained through the assessment system data information, and then the time dimension and institutional dimension of the indicator mart corresponding to the indicator name are defined, and the specific content is directly copied from the time dimension information and institutional dimension information of the indicator marts of other medical systems.

[0143] S42: Obtain the business and field classification of the indicator mart, and automatically generate the subject dimension of the indicator mart according to the business and / or field classification.

[0144] In this embodiment, the field classification refers to the classification of the field in which the indicator mart is located based on the tree-like directory hierarchy.

[0145] Specifically, the business and field classification of the indicator mart is obtained, so as to automatically generate the subject dimension of the indicator mart according to business customization or according to field classification.

[0146] S43: Generate dimension definition information according to the time dimension, the organization dimension and the subject dimension.

[0147] Specifically, dimension definition information is further generated based on the time dimension, institutional dimension and subject dimension of the indicator mart.

[0148] S44: Obtain department information and meta-field information, match the indicator relationship information between the department information and meta-field information and the corresponding atomic indicators, and establish department indicator authorization relationship and indicator meta-field association relationship in a preset order according to the indicator relationship information.

[0149] In this embodiment, department information refers to the information of hospital departments to which the indicator mart will be applied; meta-field information refers to the information of professional fields in the meta-field library mapped to fields in each business system.

[0150] Specifically, obtain the department information and meta-field information that need to be established, match the indicator relationship information between the corresponding atomic indicators, and then establish the department indicator authorization relationship and indicator meta-field association relationship in a preset order, such as "reference relationship between indicators > derivation relationship between indicators > derivation relationship between indicators", and the specific relationship information should be consistent with the corresponding indicator relationship information.

[0151] In one embodiment, if Figure 8 As shown, in step S50, the indicator configuration parameters are generated according to the business system data, specifically including:

[0152] S51: Obtain a meta-field library, match the meta-field library according to the business system data, and generate an indicator detail value.

[0153] In this embodiment, the indicator detail value refers to the specific numerical value of each data point on a specified dimension of a single custom indicator or atomic indicator.

[0154] Specifically, obtain the meta-field library, match the business system data according to the meta-field library, convert the fields in the business system into professional fields in the meta-field library, and then obtain the indicator details corresponding to the names of the professional fields, such as scheduled tasks, monitoring, and logs for indicator calculation.

[0155] S52: Generate indicator dimension summary values ​​according to dimension definition information and indicator detail values, and generate indicator configuration parameters according to indicator dimension summary value analysis.

[0156] In this embodiment, the indicator configuration parameter refers to parameter information configured for a custom indicator or an atomic indicator.

[0157] Specifically, summary analysis is performed based on the indicator detail values ​​and dimension definition information to generate indicator dimension summary values. The parameter information of custom indicators or atomic indicators in the data flow process, i.e., indicator configuration parameters, is obtained through analysis. For example, "the frequency of use of custom indicators = monthly, then 'scheduled tasks' can be defined according to cron rules as: 1, 1, *, *, indicating execution at 1:00 on the 1st of each month".

[0158] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0159] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Fig. 9 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store a tree directory hierarchy, established custom indicators and indicator market names, indicator relationship information, department indicator authorization relationships, indicator meta-field association relationships and various rules used in the modeling process. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for rapid modeling of the indicator market is implemented.

[0160] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0161] Acquire the assessment system data information, acquire the indicator market name, indicator market classification information, indicator market SN number and the atomic indicators in the indicator market according to the assessment system data information, arrange the indicator market according to the corresponding indicator market SN number in a preset order according to the indicator market classification information, and establish a tree directory hierarchy of the indicator market;

[0162] Establishing a custom indicator, establishing indicator relationship information according to the custom indicator and the atomic indicator, and saving the custom indicator to the tree directory hierarchy;

[0163] Matching the corresponding attribute business logic rules according to the indicator relationship information, assigning or supplementing attributes to the custom indicator according to the attribute business logic rules, and obtaining indicator attribute information;

[0164] Dimensionally define the indicator market according to the assessment system data information, generate dimension definition information, and establish department indicator authorization relationship and indicator meta-field association relationship according to the indicator relationship information;

[0165] Obtaining business system data, and generating indicator dimension summary values ​​based on the business system data;

[0166] An indicator mart model is generated according to the indicator mart name, the indicator relationship information, the indicator attribute information, the dimension definition information, the department indicator authorization relationship, the indicator meta-field association relationship and the indicator dimension summary value.

[0167] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0168] Acquire assessment system data information, acquire indicator markets, indicator market classification information, indicator market SN numbers, and atomic indicators in the indicator markets according to the assessment system data information, arrange the indicator markets according to the corresponding indicator market SN numbers in a preset order according to the indicator market classification information, and establish a tree-like directory hierarchy of the indicator markets;

[0169] Establishing a custom indicator, establishing indicator relationship information according to the custom indicator and the atomic indicator, and saving the custom indicator to the tree directory hierarchy;

[0170] Matching the corresponding attribute business logic rules according to the indicator relationship information, assigning or supplementing attributes to the custom indicator according to the attribute business logic rules, and obtaining indicator attribute information;

[0171] Dimensionally define the indicator market according to the assessment system data information, generate dimension definition information, and establish department indicator authorization relationship and indicator meta-field association relationship according to the indicator relationship information;

[0172] Obtaining business system data, and generating indicator dimension summary values ​​based on the business system data;

[0173] The indicator mart model is comprehensively generated according to the indicator mart name, the indicator relationship information, the custom indicator attribute value, the dimension definition information, the department indicator authorization relationship, the indicator meta-field association relationship and the indicator dimension summary value. A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it may include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0174] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0175] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for rapid modeling of an indicator market, characterized in that: The method for quickly modeling the indicator market includes: Acquire the assessment system data information, acquire the indicator market name, indicator market classification information, indicator market SN number and atomic indicator according to the assessment system data information, arrange the indicator market name according to the corresponding indicator market SN number in a preset order according to the indicator market classification information, and establish a tree directory hierarchy of the indicator market; Establishing a custom indicator, establishing indicator relationship information according to the custom indicator and the atomic indicator, and storing the custom indicator in the tree directory hierarchy according to the indicator relationship information, wherein establishing indicator relationship information according to the custom indicator and the atomic indicator specifically includes: Performing field matching on the indicator name of the custom indicator and the indicator name of the atomic indicator to obtain a matching result; When the matching result is a complete match, obtaining a reference relationship establishment rule, and establishing an inter-indicator reference relationship between the custom indicator and the atomic indicator according to the reference relationship establishment rule; When the matching result is that only the core keyword is completely matched, a derivative relationship establishment rule is obtained, and an inter-indicator derivative relationship is established between the custom indicator and the atomic indicator according to the derivative relationship establishment rule; Decomposing the calculation method of the atomic indicator to generate a derived indicator, obtaining a derivation relationship establishment rule, and establishing an inter-indicator derivation relationship between the derived indicator and the corresponding atomic indicator according to the derivation relationship establishment rule; Generate indicator relationship information according to the reference relationship between indicators, the derivative relationship between indicators and the derived relationship between indicators; According to the indicator relationship information, the corresponding attribute business logic rule is matched, and the attribute of the custom indicator is assigned or supplemented according to the attribute business logic rule to obtain the indicator attribute information, wherein the content of the attribute business logic rule specifically includes: Match the indicator relationship information according to the name of the custom indicator to obtain a matching result; When the matching result is that the custom indicator has a reference relationship between indicators, the indicator attribute information of the custom indicator is consistent with the indicator attribute information of the referenced atomic indicator; When the matching result is that the custom indicator has a derivative relationship between indicators, the derived matching attribute name is obtained, and the derived matching attribute name is compared with the name of the indicator attribute information of the corresponding atomic indicator. If the two are the same, the corresponding indicator attribute information is consistent; When the matching result is that there is a derived relationship between indicators among the custom indicators, the derived matching attribute name is obtained, and the derived matching attribute name is compared with the name of the indicator attribute information of the corresponding atomic indicator. If the two are the same, the corresponding indicator attribute information is consistent; Performing dimension definition on the indicator market corresponding to the indicator market name according to the assessment system data information, generating dimension definition information, and establishing department indicator authorization relationship and indicator meta-field association relationship according to the indicator relationship information; Acquire business system data, and generate indicator configuration parameters according to the business system data; An indicator mart model is generated according to the indicator mart name, the indicator relationship information, the indicator attribute information, the dimension definition information, the department indicator authorization relationship, the indicator meta-field association relationship and the indicator configuration parameters.

2. The method for rapid modeling of an indicator market according to claim 1, characterized in that: The content of the reference relationship establishment rule specifically includes: Obtaining a name similarity threshold, and calculating the name similarity between the indicator name of the custom indicator and the indicator name of the atomic indicator, and comparing the name similarity with the name similarity threshold to obtain a comparison result; When the comparison result is that the name similarity is greater than the name similarity threshold, the SN numbers of the atomic indicator and the custom indicator are obtained and compared to obtain a comparison result; when the SN number of the custom indicator is smaller than the SN number of the corresponding atomic indicator, an inter-indicator reference relationship is allowed to be established between the custom indicator and the atomic indicator; When the comparison result points to multiple atomic indicators, a reference relationship between the custom indicator and the matched atomic indicator with the smallest SN number in the indicator market is established according to the minimum matching rule; When there are nested reference forms and indirect reference forms between the custom indicators or between the custom indicators and the atomic indicators, the nested reference forms and the indirect reference forms are converted into direct reference forms.

3. The method for rapid modeling of an indicator market according to claim 1, characterized in that: The content of the derivative relationship establishment rule specifically includes: When establishing a derivative relationship between indicators, the indicator attribute information of the atomic indicator is obtained, and the custom indicator is assigned a value according to the pre-stored multiple derivative business rule algorithms based on the indicator attribute information of the atomic indicator to obtain the corresponding indicator attribute information; The actual value of the atomic indicator is obtained, and the actual value of the custom indicator is calculated according to the actual value of the atomic indicator.

4. The method for rapid modeling of an indicator market according to claim 1, characterized in that: The content of the derivation relationship establishment rule specifically includes: In the tree-like directory hierarchy, the derived index is established under the corresponding atomic index; The name of the existing atomic indicator is matched according to the name of the derived indicator, and when the matching result is a complete match, an inter-indicator reference relationship is established between the derived indicator and the corresponding atomic indicator.

5. The method for rapid modeling of an indicator market according to claim 1, characterized in that: The step of defining the dimension of the indicator market corresponding to the indicator market name according to the assessment system data information, generating dimension definition information, and establishing the department indicator authorization relationship and indicator meta-field association relationship according to the indicator relationship information specifically includes: Acquire the time dimension information and the institutional dimension information of the indicator market of other medical systems according to the assessment system data information, and define the time dimension and the institutional dimension of the indicator market according to the time dimension information and the institutional dimension information; Acquire the business and field classification of the indicator mart, and automatically generate the subject dimension of the indicator mart according to the business and / or the field classification; Generate dimension definition information according to the time dimension, the organization dimension and the subject dimension; Acquire department information and meta-field information, match the department information and meta-field information with the indicator relationship information of the corresponding atomic indicators, and establish department indicator authorization relationship and indicator meta-field association relationship in a preset order according to the indicator relationship information.

6. The method for rapid modeling of an indicator market according to claim 1, characterized in that: The generating of indicator configuration parameters according to the business system data specifically includes: Obtain a meta-field library, match the business system data according to the meta-field library, and generate an indicator detail value; Generate indicator dimension summary values ​​according to the dimension definition information and the indicator detail values, and generate indicator configuration parameters according to the indicator dimension summary value analysis.

7. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method for rapid modeling of the indicator mart are implemented as described in any one of claims 1 to 6.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for rapid modeling of an indicator mart as claimed in any one of claims 1 to 6 are implemented.

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