Prescription compatibility analysis method for drug clinical correlation degree

Abstract

The invention provides a prescription compatibility analysis method for the clinical correlation degree of medicines, and relates to the technical field of traditional Chinese medicine informatics research. The method comprises the following steps: acquisition of initial data of compatibility, evaluation and judgment of standard degree, evaluation and judgment of processing effect, and evaluation and feedback of sharing effect. According to the invention, the compatibility initial data of the preset medical institution is obtained, and then the standardization degree of the compatibility initial data is evaluated to judge whether to execute the compatibility initial data preprocessing; then, acquiring compatibility data after the compatibility initial data preprocessing is executed, evaluating the effect of the compatibility initial data preprocessing to judge whether compatibility data sharing is executed or not, and finally, performing comprehensive evaluation to obtain a comprehensive evaluation result and feeding back the comprehensive evaluation result. The data quality in the prescription compatibility analysis process of the drug clinical correlation degree is improved, and the problem that in the prior art, the data quality is not high in the prescription compatibility analysis process of the drug clinical correlation degree is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of research on Chinese medicine informatics, and in particular to a prescription compatibility analysis method for drug clinical correlation. Background Art

[0002] With the rapid development of big data and artificial intelligence technology, prescription compatibility analysis methods are also constantly improving. Modern research has begun to use complex network analysis, association rule mining and other methods to deeply explore and analyze the laws and patterns of prescription compatibility, which can not only discover the compatibility relationship between drugs, but also reveal the potential mechanism and principle of prescription compatibility. At the same time, modern research also focuses on combining prescription compatibility analysis methods with clinical practice to promote the modernization and internationalization of traditional Chinese medicine.

[0003] The existing prescription compatibility analysis method of drug clinical correlation systematically analyzes the compatibility relationship of drugs in prescriptions through the combination of modern data analysis technology and traditional Chinese medicine theory. The specific analysis process usually relies on clinical data, drug databases, and complex mathematical and statistical models to evaluate the correlation between drugs and their impact on the overall efficacy of prescriptions, thereby revealing the drug action rules in complex prescription compatibility, optimizing prescription efficacy, promoting personalized treatment and new drug research and development, and also providing a new path for the modernization, standardization and internationalization of traditional Chinese medicine.

[0004] The prescription data of traditional Chinese medicine often come from different literature, clinical reports or medical records, and these data have heterogeneity and non-standardization problems. The drug name, dosage, compatibility ratio, symptom description, etc. are often not unified, which limits the comparability and accuracy of the analysis results. At the same time, during the data entry process, human factors (such as fatigue, negligence, etc.) may lead to data entry errors, such as spelling errors of drug names, confusion of dosage units, etc. In the data processing process, such as data cleaning, conversion and standardization, if improperly handled, it may also lead to a decline in data quality, such as data loss, data duplication or data conversion errors.

[0005] In the existing technology, due to the lack of an effective data sharing mechanism among hospitals, research institutions and pharmaceutical companies, data is difficult to integrate and utilize, and there is a problem of low data quality in the process of drug clinical correlation prescription compatibility analysis. Summary of the invention

[0006] The present invention solves the problem of low data quality in the prior art during the analysis of prescription compatibility with clinical drug correlation by providing a prescription compatibility analysis method with clinical drug correlation, thereby achieving improvement of data quality in the analysis of prescription compatibility with clinical drug correlation.

[0007] The present invention provides a prescription compatibility analysis method for drug clinical correlation, comprising the following steps: S1, obtaining the initial compatibility data of a preset medical institution, wherein the initial compatibility data includes initial drug data, initial prescription compatibility data, and initial clinical data; S2, evaluating the standardization degree of the initial compatibility data to obtain a compatibility data standard quality index, judging whether to perform initial compatibility data preprocessing based on the compatibility data standard quality index and a preset standard evaluation threshold range, wherein the compatibility data standard quality index is used to comprehensively quantify the standardization degree of the initial compatibility data; S3, obtaining the compatibility data after the initial compatibility data preprocessing is performed, and evaluating the compatibility data standard quality index. S5, evaluating the effect of initial data preprocessing to obtain a compatibility data processing evaluation index, judging whether to execute compatibility data sharing based on the compatibility data processing evaluation index and a preset processing effect threshold range, the compatibility data processing evaluation index is used to evaluate the effect of compatibility initial data preprocessing; S6, obtaining the compatibility data sharing evaluation index after executing compatibility data sharing, performing a comprehensive evaluation based on the compatibility data sharing evaluation index and the preset sharing effect threshold range in combination with the compatibility data standard quality index and the compatibility data processing evaluation index to obtain a comprehensive evaluation result and provide feedback, the compatibility data sharing evaluation index is used to evaluate the effect of compatibility data sharing.

[0008] Optionally, the initial drug data includes the drug name, drug efficacy information and drug dosage; the initial prescription compatibility data includes the prescription name, prescription component names, prescription component dosage and prescription efficacy information; the initial clinical data includes the clinical prescription name, clinical prescription dosage, clinical prescription use time interval and clinical prescription use course.

[0009] Optionally, the specific steps of evaluating the degree of standardization of the initial compatibility data to obtain the compatibility data standard quality index are as follows: numbering the category format fields of the initial compatibility data and comparing them with the preset standard category format fields to obtain the format standard compliance value; obtaining the compatibility total amount related value of the initial compatibility data, the compatibility total amount related value includes the total data volume of the initial compatibility data, the total data volume of the initial compatibility data values, the total number of compatibility initial data values ​​that meet the compatibility, the total number of compatibility missing values ​​and the numerical standard degree evaluation value, the total number of the initial compatibility data values ​​that meet the quantification The degree of compliance between the total number of the initial compatibility data values ​​and the preset data value range; obtaining the compatibility time series related value of the preset prescription in the initial compatibility data, the compatibility time series related value includes The method comprises the following steps: the first step is to obtain a compatibility standard related evaluation score according to the compatibility total amount related value, the compatibility time series related value and the compatibility time series standard time series; the compatibility standard related evaluation score comprises the compatibility standard numerical evaluation score and the compatibility standard time series evaluation score according to the compatibility total amount related value, the compatibility time series related value and the reference value obtained from the preset database; the compatibility data standard quality index is obtained by combining the format standard compliance value, the compatibility total amount related value, the compatibility standard related evaluation score and the standard evaluation weight obtained from the preset database, and the standard evaluation weight comprises the format standard weight, the data integrity weight, the numerical standard weight and the time series standard weight.

[0010] Optionally, the method for obtaining the compatibility data standard quality index is as follows:

[0011]

[0012]

[0013]

[0014]

[0015] In the formula, Y represents the standard quality index of the compatibility data, α represents the format standardization weight, i represents the category format field number of the compatibility initial data, i=1,2,...,N, N represents the total number of category format fields, and F i Indicates the format standard compliance value of the format field of the i-th category, f i represents the i-th category format field of the initial data of compatibility, β represents the data integrity weight, k represents the total amount of initial data of compatibility, h represents the total number of missing values ​​of compatibility, γ represents the numerical standard weight, A ′ represents the numerical standard degree evaluation value, δ represents the standard weight of the time series, q represents the compatibility time series number, q=1,2,...,Q-1, Q represents the total number of compatibility time series, represents the compatibility time series interval between the qth compatibility time series and the q+1th compatibility time series, Δt represents the compatibility time series standard time interval, A0 represents the numerical standard degree reference value, B0 represents the time series standard degree reference value, A represents the compatibility standard numerical evaluation score, B represents the compatibility standard time series evaluation score, f ’ Indicates the preset standard category format field.

[0016] Optionally, the specific steps of judging whether to perform compatibility initial data preprocessing based on the compatibility data standard quality index and the preset standard evaluation threshold range are as follows: compare the compatibility data standard quality index with the preset standard evaluation threshold range: if the compatibility data standard quality index is within the preset standard evaluation threshold range, the compatibility initial data preprocessing is not performed, and the compatibility initial data is transmitted to the preset prescription compatibility analysis database and automatically backed up; if the compatibility data standard quality index exceeds the preset standard evaluation threshold range, the compatibility initial data preprocessing is performed.

[0017] Optionally, the specific steps of performing preprocessing of the initial compatibility data are as follows: obtaining first compatibility data by performing data standardization, data cleaning and data conversion on the initial compatibility data; obtaining second compatibility data by performing data integration on the first compatibility data; and obtaining compatibility data by performing data normalization and data compression on the second compatibility data.

[0018] Optionally, the specific steps of evaluating the effect of preprocessing the initial data of the compatibility to obtain the compatibility data processing evaluation index are as follows: obtaining the initial processing evaluation data of the compatibility, the initial processing evaluation data of the compatibility includes the initial processing missing rate of the compatibility, the repetition rate of the compatibility and the accuracy rate of the initial processing of the compatibility; obtaining the compatibility processing evaluation data after performing the preprocessing of the initial data of the compatibility, the compatibility processing evaluation data includes the missing rate of the compatibility, the repetition rate of the compatibility and the accuracy rate of the compatibility; obtaining the corresponding processing evaluation related values ​​according to the initial processing evaluation data of the compatibility and the compatibility processing evaluation data, the processing evaluation related values ​​include the processing missing rate related value, the processing repetition rate related value and the processing accuracy related value, the processing missing rate related value represents the ratio of the difference between the initial processing missing rate of the compatibility and the compatibility processing missing rate to the initial processing missing rate of the compatibility, the processing repetition rate related value represents the ratio of the difference between the initial processing repetition rate of the compatibility and the compatibility processing repetition rate to the initial processing repetition rate of the compatibility, and the processing accuracy related value represents the ratio of the difference between the initial processing repetition rate of the compatibility and the compatibility processing repetition rate to the initial processing repetition rate of the compatibility. The invention relates to a method for preparing a preprocessing data set comprising a preprocessing data set comprising a reference data set, a reference data set and a corresponding reference data set; a method for preparing ...

[0019] Optionally, the specific steps of judging whether to execute compatibility data sharing based on the compatibility data processing evaluation index and the preset treatment effect threshold range are as follows: compare the compatibility data processing evaluation index with the preset treatment effect threshold range: if the compatibility data processing evaluation index exceeds the preset treatment effect threshold range, compatibility data sharing is not executed, and the compatibility data is backed up in real time and uploaded to cloud storage; if the compatibility data processing evaluation index is within the preset treatment effect threshold range, compatibility data sharing is executed, and the compatibility data is desensitized and transmitted to the preset prescription compatibility sharing database.

[0020] Optionally, the specific steps of obtaining the compatibility data sharing evaluation index after executing the compatibility data sharing are as follows: obtaining the sharing situation related values ​​after executing the compatibility data sharing within a preset time interval, and the sharing situation related values ​​include the total number of medical institutions to be shared, the actual number of shared medical institutions, and the number of data accesses; obtaining the timeliness situation related values ​​of the preset medical institutions within the preset time interval, and the timeliness situation related values ​​include the data upload frequency, the data valid time, and the data lag time; taking the logarithm of the ratio of the actual number of shared medical institutions to the total number of medical institutions to be shared and the number of data accesses, and then multiplying them, and then combining them with the data sharing impact factor obtained from the preset database A data sharing evaluation score is obtained by multiplication. A timeliness frequency evaluation score is obtained by multiplying the ratio of the data upload frequency to the reference upload frequency with the upload frequency influence weight obtained from the preset database. The complement of the data valid time and the data lag time is multiplied and then the ratio is calculated with the reference upload time obtained from the preset database, and then the timeliness time evaluation score is obtained by multiplication. The timeliness frequency evaluation score and the timeliness time evaluation score are added together, and then the multiplication is performed with the data sharing influence factor obtained from the preset database, and then the addition is performed with the data sharing evaluation score to obtain the compatibility data sharing evaluation index.

[0021] Optionally, the specific process of performing a comprehensive evaluation based on the compatibility data sharing evaluation index and the preset sharing effect threshold range in combination with the compatibility data standard quality index and the compatibility data processing evaluation index to obtain a comprehensive evaluation result and provide feedback is as follows: determine whether the obtained compatibility data standard quality index is within the preset standard evaluation threshold range. If the obtained compatibility data standard quality index is within the preset standard evaluation threshold range, the compatibility data quality result is recorded as qualified in the quality evaluation and no preprocessing is performed; otherwise, the compatibility data quality result is recorded as unqualified in the quality evaluation and preprocessing is performed and compatibility initial data sharing is performed; determine whether the obtained compatibility data processing evaluation index is within the preset processing effect threshold range. If the compatibility data processing evaluation index is within the preset processing effect threshold range, the compatibility data processing result is recorded as qualified in the quality evaluation and no preprocessing is performed. It is recorded as unqualified quality assessment and qualified pre-processing assessment, and compatibility data sharing is executed; otherwise, the compatibility data processing result is recorded as unqualified quality assessment and unqualified pre-processing assessment, and compatibility data sharing is not executed, and the preset personnel are reminded to obtain the initial compatibility data again; it is judged whether the obtained compatibility data sharing evaluation index is within the preset sharing effect threshold range, if the compatibility data sharing evaluation index is within the preset sharing effect threshold range, the compatibility data sharing result is recorded as normal compatibility data sharing evaluation, otherwise, the compatibility data sharing result is recorded as abnormal compatibility data sharing evaluation, and the preset personnel are reminded to perform compatibility data sharing again until the compatibility data sharing evaluation index is within the preset sharing effect threshold range; the comprehensive evaluation result includes the compatibility data quality result, the compatibility data processing result and the compatibility data sharing result.

[0022] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0023] 1. By obtaining the initial compatibility data of the preset medical institution, and then evaluating the standardization degree of the initial compatibility data to determine whether to perform the initial compatibility data preprocessing, then obtaining the compatibility data after the initial compatibility data preprocessing and evaluating the effect of the initial compatibility data preprocessing to determine whether to perform compatibility data sharing, finally obtaining the compatibility data sharing evaluation index after the compatibility data sharing is performed and performing a comprehensive evaluation, thereby realizing the evaluation and processing of the standardization degree of the initial compatibility data, and then realizing the improvement of data quality in the process of drug clinical correlation prescription compatibility analysis, effectively solving the problem of low data quality in the process of drug clinical correlation prescription compatibility analysis in the prior art.

[0024] 2. By obtaining the initial treatment evaluation data of the compatibility and the treatment evaluation data of the compatibility, the corresponding treatment evaluation related values ​​and the reference treatment related evaluation scores are obtained at the same time, and then the reference treatment related evaluation scores are multiplied and summed with the corresponding treatment evaluation weights to obtain the preprocessing mapping parameters, and finally the compatibility data processing evaluation index is obtained according to the complement of the preprocessing mapping parameters and the preprocessing influencing factors obtained from the preset database, thereby realizing the numerical evaluation of the preprocessing effect of the compatibility initial data, and then realizing a more accurate evaluation of the preprocessing effect of the compatibility initial data.

[0025] 3. By obtaining the relevant values ​​of the sharing situation and the timeliness situation, the data sharing evaluation score, the timeliness frequency evaluation score and the timeliness time evaluation score are obtained at the same time, and then the timeliness frequency evaluation score and the timeliness time evaluation score are added and multiplied with the data sharing impact factor obtained from the preset database, and finally added with the data sharing evaluation score to obtain the compatibility data sharing evaluation index, thereby realizing the numerical evaluation of the compatibility data sharing effect, and then realizing a more accurate evaluation of the compatibility data sharing effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0027] Figure 1 A flow chart of a prescription compatibility analysis method for drug clinical relevance provided in an embodiment of the present application;

[0028] Figure 2 A schematic diagram of changes in the compatibility data sharing evaluation index provided in an embodiment of the present application. DETAILED DESCRIPTION

[0029] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] Unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. Similarly, words such as "one", "one" or "the" do not indicate a quantitative limitation, but indicate the existence of at least one. Words such as "include" or "comprise" mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. Words such as "connect" or "connected" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect.

[0031] It should be noted that the terms "up", "down", "left", "right", "front", "back", etc. used in the present invention are only used to indicate relative position relationships. When the absolute position of the object being described changes, the relative position relationship may also change accordingly.

[0032] The present invention aims at the problem of low data quality in the process of drug clinical correlation prescription compatibility analysis in the prior art, and provides a drug clinical correlation prescription compatibility analysis method, thereby achieving improvement of data quality in the process of drug clinical correlation prescription compatibility analysis.

[0033] like Figure 1As shown, it is a flow chart of a prescription compatibility analysis method for drug clinical correlation provided by the present invention, and a prescription compatibility analysis method for drug clinical correlation provided by the present invention comprises the following steps: S1, acquisition of initial compatibility data: acquiring initial compatibility data of a preset medical institution, wherein the initial compatibility data comprises initial drug data, initial prescription compatibility data and initial clinical data; S2, evaluation and judgment of standardization degree: evaluating the standardization degree of the initial compatibility data to obtain a standard quality index of the compatibility data, judging whether to perform initial compatibility data preprocessing based on the standard quality index of the compatibility data and a preset standard evaluation threshold range, wherein the standard quality index of the compatibility data is used to comprehensively quantify the standardization degree of the initial compatibility data; S3, evaluation and judgment of processing effect Evaluation and judgment: obtain the compatibility data after executing the preprocessing of the initial data of the compatibility, evaluate the effect of the preprocessing of the initial data of the compatibility to obtain the compatibility data processing evaluation index, and judge whether to execute the compatibility data sharing based on the compatibility data processing evaluation index and the preset processing effect threshold range. The compatibility data processing evaluation index is used to evaluate the effect of the preprocessing of the initial data of the compatibility; S4, sharing effect evaluation feedback: obtain the compatibility data sharing evaluation index after executing the compatibility data sharing, and conduct a comprehensive evaluation based on the compatibility data sharing evaluation index and the preset sharing effect threshold range in combination with the compatibility data standard quality index and the compatibility data processing evaluation index to obtain a comprehensive evaluation result and provide feedback. The compatibility data sharing evaluation index is used to evaluate the effect of the compatibility data sharing.

[0034] In this embodiment, the initial compatibility data is obtained from the database of the preset medical institution. Since the initial compatibility data obtained from the database may be missing data or have incorrect format, and the composition and dosage of the same prescription may also differ in the representation method, the initial compatibility data is tested and judged whether to perform preprocessing through standardization evaluation. When different medical institutions share data, if the data is not standardized, it may lead to a decrease in the accuracy of clinical decisions due to incompatibility. By evaluating and processing the standardization degree of the initial compatibility data, the data reliability is improved in the prescription compatibility analysis process of drug clinical correlation.

[0035] The initial drug data includes the drug name, drug efficacy information, and drug dosage. The initial drug data covers the key information of a single drug. For example, the drug name refers to the standard name of the drug, the drug efficacy information refers to the main effects of the drug such as clearing away heat and detoxification, nourishing and strengthening the body, and regulating qi and blood, and the drug dosage refers to the standard dosage of the drug.

[0036] The initial data of prescription compatibility includes the name of the prescription, the name of the prescription components, the dosage of the prescription components, and the efficacy information of the prescription. The initial data of prescription compatibility involves the various components in the prescription and their related information, where, for example, the name of the prescription refers to the standardized name of the prescription, the name of the prescription components refers to the name of the ingredients of each drug in the prescription, the dosage of the prescription components refers to the relative content of each drug in the prescription, and the efficacy information of the prescription refers to the overall efficacy description of the prescription, such as treating colds and colds, regulating spleen and stomach weakness, etc.

[0037] Clinical initial data include the name of the clinically used prescription, the dosage of the clinical prescription, the time interval of the clinical prescription, and the course of clinical prescription use. Clinical initial data include the use information of the prescription in actual medical practice, where, for example, the name of the clinically used prescription refers to the name of the prescription used in actual medical practice, the dosage of the clinical prescription refers to the dosage of the prescription actually given to the patient in the clinic, the time interval of the clinical prescription refers to the frequency of prescription use, and the course of clinical prescription use refers to the total duration of prescription use.

[0038] Through the comprehensive integration of initial drug data, initial prescription compatibility data and initial clinical data, a reliable decision-making basis is provided for the prescription compatibility analysis process of drug clinical correlation.

[0039] Among them, the specific steps of evaluating the standardization degree of the initial data of compatibility to obtain the standard quality index of the compatibility data are as follows: numbering the category format fields of the initial data of compatibility and comparing them with the preset standard category format fields to obtain the format standard compliance value; obtaining the total amount of compatibility related values ​​of the initial data of compatibility, the total amount of compatibility related values ​​including the total amount of initial data of compatibility, the total amount of numerical data of the initial data of compatibility, the total number of numerical compliance of the initial data of compatibility, the total number of missing values ​​of compatibility and the numerical standard degree evaluation value, the total number of numerical compliance of the initial data of compatibility is used to quantify the degree of compliance between the total number of numerical values ​​of the initial data of compatibility and the preset data numerical range; obtaining the compatibility time series related values ​​of the preset prescriptions in the initial data of compatibility, the compatibility time series related values ​​including the compatibility The total number of compatibility time series, the compatibility time interval series and the standard time interval of the compatibility time series are combined; the compatibility standard related evaluation score is obtained according to the compatibility total amount related value, the compatibility time series related value and the reference value obtained from the preset database, the compatibility standard related evaluation score includes the compatibility standard numerical evaluation score and the compatibility standard time series evaluation score, the reference value includes the numerical standard degree reference value and the time series standard degree reference value; the format standard compliance value, the compatibility total amount related value, the compatibility standard related evaluation score and the standard evaluation weight obtained from the preset database are combined to obtain the compatibility data standard quality index, the standard evaluation weight includes the format standard weight, the data integrity weight, the numerical standard weight and the time series standard weight.

[0040] The method for obtaining the standard quality index of compatibility data is as follows:

[0041]

[0042]

[0043]

[0044]

[0045] In the formula, Y represents the standard quality index of the compatibility data, α represents the format standardization weight, i represents the category format field number of the compatibility initial data, i=1,2,...,N, N represents the total number of category format fields, and F i Indicates the format standard compliance value of the format field of the i-th category, f i represents the i-th category format field of the initial data of compatibility, β represents the data integrity weight, k represents the total amount of initial data of compatibility, h represents the total number of missing values ​​of compatibility, γ represents the numerical standard weight, A ′ represents the numerical standard degree evaluation value, δ represents the standard weight of the time series, q represents the compatibility time series number, q=1,2,...,Q-1, Q represents the total number of compatibility time series, represents the compatibility time series interval between the qth compatibility time series and the q+1th compatibility time series, Δt represents the compatibility time series standard time interval, A0 represents the numerical standard degree reference value, B0 represents the time series standard degree reference value, A represents the compatibility standard numerical evaluation score, B represents the compatibility standard time series evaluation score, f ’ Indicates the preset standard category format field.

[0046] In this embodiment, the category format field refers to the field or attribute in the data table used to represent the initial data of the compatibility, and each field represents a specific type of data (such as unit, drug name field, prescription composition field, etc.); if the category format field of the initial data of the compatibility is the same as the preset standard category format field, the format standard compliance value is recorded as 1, if different, it is recorded as 0; wherein, the total number of numerical compliances of the initial data of the compatibility is obtained by the count function, and the numerical standard degree evaluation value represents the ratio of the total number of numerical compliances of the initial data of the compatibility to the total amount of numerical data of the initial data of the compatibility.

[0047] Among them, the format standardization weight is used to describe the influence of the standardization of the initial data format of the compatibility on the standard quality index of the compatibility data. Specifically, the format standardization weight is the weight corresponding to the format standardization preset in the preset database, which represents the numerical value of the influence of the standardization of the initial data format of the compatibility on the standard quality index of the compatibility data. When used, the weight corresponding to the preset format standardization can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the standardization of the initial data format of the compatibility and the weight corresponding to the preset format standardization in the preset database form a mapping set, and the standardization of the real-time initial data format of the compatibility is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0048] The data integrity weight is used to describe the degree of influence of the integrity of the initial data of the compatibility on the standard quality index of the compatibility data. Specifically, the data integrity weight is the weight corresponding to the data integrity preset in the preset database, which represents the numerical value of the influence of the integrity of the initial data of the compatibility on the standard quality index of the compatibility data. When used, the weight corresponding to the preset data integrity can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the integrity of the initial data of the compatibility and the weight corresponding to the data integrity preset in the preset database form a mapping set, and the integrity of the real-time initial data of the compatibility is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0049] The numerical standardization weight is used to describe the degree of influence of the standardization of the numerical value in the initial data of compatibility on the standard quality index of the compatibility data. Specifically, the numerical standardization weight is the weight corresponding to the numerical standardization preset in the preset database, which represents the numerical value of the influence of the standardization of the numerical value in the initial data of compatibility on the standard quality index of the compatibility data. When used, the weight corresponding to the preset numerical standardization can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the standardization of the numerical value in the initial data of compatibility and the weight corresponding to the numerical standardization preset in the preset database form a mapping set, and the standardization of the numerical value in the real-time initial data of compatibility is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0050] In this example, the sum of the format standardization weight, data integrity weight, numerical standardization weight and time series standardization weight is 1. The time series standardization weight is used to describe the degree of influence of the standardization of the time series in the initial data of the compatibility on the standard quality index of the compatibility data.

[0051] The compatibility data standard quality index is used to comprehensively quantify the standardization degree of the initial compatibility data. The compatibility data standard quality index includes multiple parameters, and each parameter is related to each other. It does not exist independently and is not obtained by simple combination and addition. For example, as the total number of missing values ​​in the compatibility decreases, it indicates that the total number of missing values ​​in the initial compatibility data decreases, and the compatibility data standard quality index increases accordingly. In addition, it is also necessary to consider the format standard compliance value, the numerical standard degree evaluation value, and the compatibility time series interval. For example, when the total number of missing values ​​in the compatibility gradually decreases, it indicates that the number of missing values ​​in the initial compatibility data decreases, thereby increasing the format standard compliance value. When the total number of missing values ​​in the compatibility increases, that is, the number of missing data increases, it makes it impossible to judge whether the format of some fields meets the standard. That is, if the data of some key fields is missing, the overall format standardization cannot be accurately evaluated, resulting in a small format standard compliance value, thereby increasing the total number of missing values ​​in the compatibility. Therefore, multiple factors have an impact on the compatibility data standard quality index. In a quantitative way, the correlation and mutual influence between various factors are considered, and the compatibility data standard quality index is obtained through comprehensive analysis. The numerical evaluation of the standardization degree of the initial compatibility data is realized.

[0052] Among them, the specific steps of judging whether to perform the preprocessing of the initial data of compatibility based on the standard quality index of the compatibility data and the preset standard evaluation threshold range are as follows: compare the standard quality index of the compatibility data with the preset standard evaluation threshold range: if the standard quality index of the compatibility data is within the preset standard evaluation threshold range, the initial data preprocessing of the compatibility will not be performed, and the initial data of the compatibility will be transmitted to the preset prescription compatibility analysis database and automatically backed up; if the standard quality index of the compatibility data exceeds the preset standard evaluation threshold range, the initial data preprocessing of the compatibility will be performed.

[0053] In this embodiment, the preset standard evaluation threshold range is set by professionals according to standards in the field. For example, the preset standard evaluation threshold range is generally set to 0.8 to 1; wherein, the initial compatibility data is transmitted to a preset prescription compatibility analysis database through a database connection (such as Java Database Connectivity, Open Database Connectivity) or an API (Application Programming Interface) interface, and the initial compatibility data is backed up in real time and encrypted and stored in a local server, thereby achieving an accurate evaluation of the degree of standardization of the initial compatibility data.

[0054] It should be understood that the specific steps for performing preprocessing of the initial compatibility data are as follows: obtaining the first compatibility data by performing data standardization, data cleaning and data conversion on the initial compatibility data; obtaining the second compatibility data by performing data integration on the first compatibility data; and obtaining the compatibility data by performing data normalization and data compression on the second compatibility data.

[0055] Among them, data standardization is used to ensure the consistency of the format and unit of the initial data of the compatibility, for example, unifying the numerical unit (unifying the dosage unit such as mg to g); data cleaning is used to remove noise in the initial data of the compatibility and handle missing values, for example, filling missing values ​​by the mean filling method; data conversion converts text data into numerical representation (such as word vector) by using text encoding or word segmentation technology; data integration is used to merge data from different sources to ensure field consistency and merge using primary keys or field names; the second compatibility data is normalized by minimum-maximum normalization and then compressed; the compatibility data is obtained by preprocessing the initial data of the compatibility, thereby improving the data processing efficiency in the process of prescription compatibility analysis of drug clinical correlation.

[0056] Among them, the specific steps of evaluating the effect of preprocessing of the initial data of compatibility to obtain the compatibility data processing evaluation index are as follows: obtaining the initial processing evaluation data of the compatibility, the initial processing evaluation data of the compatibility includes the missing rate of the initial processing of the compatibility, the repetition rate of the initial processing of the compatibility and the accuracy rate of the initial processing of the compatibility; obtaining the compatibility processing evaluation data after performing the preprocessing of the initial data of the compatibility, the compatibility processing evaluation data includes the missing rate of the compatibility processing, the repetition rate of the compatibility processing and the accuracy rate of the compatibility processing; obtaining the corresponding processing evaluation related values ​​according to the initial processing evaluation data of the compatibility and the compatibility processing evaluation data, the processing evaluation related values ​​include the processing missing rate related value, the processing repetition rate related value and the processing accuracy related value, the processing missing rate related value represents the ratio of the difference between the initial processing missing rate of the compatibility and the compatibility processing missing rate to the initial processing missing rate of the compatibility, the processing repetition rate related value represents the ratio of the difference between the initial processing repetition rate of the compatibility and the compatibility processing repetition rate to the initial processing repetition rate of the compatibility, and the processing accuracy related value represents the compatibility The ratio of the difference between the processing accuracy and the initial processing accuracy of the compatibility to the complement of the initial processing accuracy of the compatibility; the reference processing related evaluation score is obtained according to the reference processing maximum standard value and the processing evaluation related value obtained from the preset database, the reference processing related evaluation score represents the ratio of the difference between the reference processing maximum standard value and the corresponding processing evaluation related value to the corresponding reference processing maximum standard value, the reference processing maximum standard value includes the maximum missing amount of the reference standard, the maximum consistent amount of the reference standard and the maximum accurate amount of the reference standard, the reference processing related evaluation score includes the missing processing evaluation score, the consistent processing evaluation score and the accurate processing evaluation score; the reference processing related evaluation score is multiplied and summed with the corresponding processing evaluation weight to obtain the preprocessing mapping parameter, and the compatibility data processing evaluation index is obtained according to the complement of the preprocessing mapping parameter and the preprocessing influencing factor obtained from the preset database, the processing evaluation weight includes the processing integrity weight, the processing consistency weight and the processing accuracy weight.

[0057] The method for obtaining the compatibility data processing evaluation index is as follows:

[0058]

[0059]

[0060]

[0061]

[0062] In the formula, L represents the compatibility data processing evaluation index, c1 represents the processing integrity weight, c2 represents the processing consistency weight, c3 represents the processing accuracy weight, ΔC max represents the maximum missing value of the reference standard, ΔC represents the relevant value of the treatment missing rate, and ΔU maxrepresents the maximum agreement with the reference standard, ΔU represents the processing repetition rate related value, ΔA max represents the maximum accuracy of the reference standard, ΔA represents the processing accuracy related value, σ represents the pretreatment influence factor, L C represents the missing processing evaluation score, L U represents the consistent processing evaluation score, L A Indicates accurate processing of evaluation scores.

[0063] In this embodiment, the preprocessing influence factor is used to describe the influence degree of the influencing factors such as noise conditions in the preprocessing process of the compatibility initial data on the compatibility data processing evaluation index. Specifically, the preprocessing influence factor is the influence factor corresponding to the preprocessing preset in the preset database, which represents the numerical value of the influence degree of the influencing factors such as noise conditions in the preprocessing process of the compatibility initial data on the compatibility data processing evaluation index. When used, the preset preprocessing influence factor can be directly obtained from the preset database, and the corresponding relationship can be a preset mapping relationship. For example, the influencing factors such as noise conditions in the preprocessing process of the compatibility initial data and the influence factors corresponding to the preprocessing preset in the preset database form a mapping set, and the influencing factors such as noise conditions in the preprocessing process of the real-time compatibility initial data are input into the mapping set to obtain the corresponding weights. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0064] The processing integrity weight is used to describe the degree of influence of the integrity of the initial data preprocessing of the compatibility on the processing evaluation index of the compatibility data. Specifically, the processing integrity weight is the weight corresponding to the processing integrity preset in the preset database, which represents the numerical value of the influence of the integrity of the initial data preprocessing of the compatibility on the processing evaluation index of the compatibility data. When used, the weight corresponding to the preset processing integrity can be directly obtained from the preset database, and the corresponding relationship can be a preset mapping relationship. For example, the integrity of the initial data preprocessing of the compatibility and the weight corresponding to the processing integrity preset in the preset database form a mapping set, and the integrity of the real-time initial data preprocessing is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0065] The processing consistency weight is used to describe the influence of the consistency of the initial data preprocessing of the compatibility on the compatibility data processing evaluation index. Specifically, the processing consistency weight is the weight corresponding to the processing consistency preset in the preset database, which represents the numerical value of the influence of the consistency of the initial data preprocessing of the compatibility on the compatibility data processing evaluation index. When used, the weight corresponding to the preset processing consistency can be directly obtained from the preset database, and the corresponding relationship can be a preset mapping relationship. For example, the consistency of the initial data preprocessing of the compatibility and the weight corresponding to the preset processing consistency in the preset database form a mapping set, and the consistency of the real-time initial data preprocessing of the compatibility is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0066] In this example, the sum of the processing integrity weight, processing consistency weight, and processing accuracy weight is 1. The processing accuracy weight is used to describe the degree of influence of the accuracy of the initial data preprocessing of the compatibility on the compatibility data processing evaluation index.

[0067] Specific assumptions: the processing integrity weight is 0.3, the processing consistency weight is 0.4, the processing accuracy weight is 0.3, the preprocessing influence factor is 0.9, the maximum missing amount of the reference standard is 10, the maximum consistency of the reference standard is 100, and the maximum accuracy of the reference standard is 100; the above method can be used to calculate the compatibility data processing evaluation index, and the statistical table of the changes in the compatibility data processing evaluation index is shown in Table 1:

[0068] Table 1 Statistics of changes in the evaluation index of compatibility data processing

[0069]

[0070] As can be seen from Table 1, with the changes in the treatment missing rate related values, treatment repetition rate related values ​​and treatment accuracy related values, the missing treatment evaluation score, consistent treatment evaluation score and accurate treatment evaluation score will change accordingly, and the missing treatment evaluation score, consistent treatment evaluation score and accurate treatment evaluation score will directly affect the compatibility data processing evaluation index; when the treatment missing rate related values, treatment repetition rate related values ​​and treatment accuracy related values ​​are all equal to the corresponding reference treatment maximum standard values, the compatibility data processing evaluation index reaches the optimal value; as shown in the first and second groups of data in the table, when the treatment repetition rate related values ​​and the treatment accuracy related values ​​are both fixed values, with the increase of the treatment missing rate related values, the missing treatment evaluation score will change accordingly, thereby causing the compatibility data processing evaluation index to gradually decrease.

[0071] In addition, the compatibility data processing evaluation index includes parameters from multiple aspects, and each parameter is related to each other. It does not exist independently and is not obtained by simple combination and addition. If the amount of missing data is large (the processing missing rate correlation value is large), it may lead to the introduction of more inconsistencies, thereby affecting the processing repetition rate correlation value and causing the processing repetition rate correlation value to increase. When the data consistency is poor, the corresponding consistent processing evaluation score will decrease. There may be a large number of repeated values, or data from different time periods are contradictory, which will directly affect the accuracy of the data. High repetition rate (low consistency) will lead to data redundancy and confuse the true value, thereby affecting the accuracy evaluation and reducing the accurate processing evaluation score. Therefore, through quantitative methods, the correlation and mutual influence between various factors are considered, and the compatibility data processing evaluation index is obtained through comprehensive analysis; the numerical evaluation of the effect of the initial data preprocessing of the compatibility is realized.

[0072] Among them, the specific steps of judging whether to execute compatibility data sharing based on the compatibility data processing evaluation index and the preset treatment effect threshold range are as follows: compare the compatibility data processing evaluation index with the preset treatment effect threshold range: if the compatibility data processing evaluation index exceeds the preset treatment effect threshold range, data sharing will not be executed, and the compatibility data will be backed up in real time and uploaded to cloud storage; if the compatibility data processing evaluation index is within the preset treatment effect threshold range, compatibility data sharing will be executed, and the compatibility data will be desensitized and transmitted to the preset prescription compatibility sharing database.

[0073] In this embodiment, the preset treatment effect threshold range is set by professionals according to standards in the field. For example, the missing treatment evaluation score range (generally -0.3 to 0.3), the consistent treatment evaluation score range (generally 0 to 0.5) and the accurate treatment evaluation score range (generally 0 to 0.5) are set to determine the preset treatment effect threshold range; accurate evaluation of the preprocessing effect of the initial data of the combination is achieved.

[0074] Among them, the specific steps of obtaining the compatibility data sharing evaluation index after the execution of compatibility data sharing are as follows: obtain the sharing situation related values ​​after the execution of compatibility data sharing within the preset time interval, and the sharing situation related values ​​include the total number of medical institutions to be shared, the actual number of shared medical institutions and the number of data accesses; obtain the timeliness situation related values ​​of the preset medical institutions within the preset time interval, and the timeliness situation related values ​​include the data upload frequency, the data valid time and the data lag time; multiply the ratio of the actual number of shared medical institutions to the total number of medical institutions to be shared by the number of data accesses after taking the logarithm operation, and then multiply it with the data sharing impact factor obtained from the preset database. The data sharing evaluation score is obtained by calculation; the timeliness frequency evaluation score is obtained by multiplying the ratio of the data upload frequency to the reference upload frequency with the upload frequency influence weight obtained from the preset database; the complement of the data effective time and the data lag time is multiplied and the ratio is calculated with the reference upload time obtained from the preset database, and then the timeliness time evaluation score is obtained by multiplying the upload time influence weight obtained from the preset database; the timeliness frequency evaluation score and the timeliness time evaluation score are added, and then the data sharing influence factor obtained from the preset database is multiplied, and then the data sharing evaluation score is added to obtain the compatibility data sharing evaluation index.

[0075] The method for obtaining the compatibility data sharing evaluation index is as follows:

[0076]

[0077] In the formula, G represents the compatibility data sharing evaluation index, C g represents the data sharing impact factor, G s represents the actual number of shared medical institutions, G a Indicates the number of data accesses, G z represents the total number of medical institutions to be shared, C s represents the data timeliness impact factor, f u represents the data upload frequency, Δf represents the reference upload frequency, Indicates the upload frequency influence weight, t y Indicates the data valid time, t h represents the data lag time, Δt represents the reference upload time, Indicates that the upload time affects the weight.

[0078] In this embodiment, the data sharing impact factor is used to describe the degree of influence of the compatibility data sharing situation on the compatibility data sharing evaluation index. Specifically, the data sharing impact factor is the impact factor corresponding to the compatibility data sharing situation preset in the preset database, which represents the numerical value of the influence of the compatibility data sharing situation on the compatibility data sharing evaluation index. When used, the impact factor corresponding to the preset data sharing can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the compatibility data sharing situation and the impact factor corresponding to the preset data sharing in the preset database form a mapping set, and the real-time compatibility data sharing situation is input into the mapping set to obtain the corresponding impact factor. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0079] In this example, the sum of the data sharing impact factor and the data timeliness impact factor is 1. The data timeliness impact factor is used to describe the degree of influence of the compatibility data timeliness on the compatibility data sharing evaluation index.

[0080] The upload frequency impact weight is used to describe the degree of influence of the upload frequency of the compatibility data on the data timeliness impact factor. Specifically, the upload frequency impact weight is the weight corresponding to the upload frequency impact preset in the preset database, which represents the numerical value of the influence of the upload frequency of the compatibility data on the data timeliness impact factor. When used, the weight corresponding to the preset upload frequency impact can be directly obtained from the preset database, and the corresponding relationship can be a pre-set mapping relationship. For example, the upload frequency of the compatibility data and the weight corresponding to the preset upload frequency impact in the preset database form a mapping set, and the upload frequency of the real-time compatibility data is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0081] In this example, the sum of the upload frequency impact weight and the upload time impact weight is the data timeliness impact factor; the upload time impact weight is the degree of influence of the upload time of the data on the data timeliness impact factor.

[0082] like Figure 2As shown, it is a change graph of the compatibility data sharing evaluation index provided in an embodiment of the present application, wherein the following settings are set: the data sharing impact factor is 0.3, the data timeliness impact factor is 0.7, the total number of medical institutions to be shared is 100, the data upload frequency is 5 times / day, the reference upload frequency is 1 time / day, the upload frequency impact weight is 0.5, the data validity time is 10 days, the data lag time is 2 days, the reference upload time is 1 day, and the upload time impact weight is 0.2; it can be seen from the figure that when the total number of medical institutions to be shared and the number of data accesses are both fixed values ​​(the number of data accesses is set to 100 in the figure), as the actual number of shared medical institutions increases, the compatibility data sharing evaluation index increases accordingly. At the same time, when the total number of medical institutions to be shared and the actual number of shared medical institutions are both fixed values ​​(the actual number of shared medical institutions is set to 50 in the figure), as the number of data accesses increases, the compatibility data sharing evaluation index also increases accordingly.

[0083] The compatibility data sharing evaluation index includes parameters from multiple aspects, and each parameter is related to each other. It does not exist independently and is not obtained by simple combination and addition. For example, with the increase in the number of data accesses and the number of actual shared medical institutions, it shows that when the total number of medical institutions to be shared is a fixed value, the better the effect of compatibility data sharing, the larger the compatibility data sharing evaluation index. In addition, the data upload frequency and data lag time need to be considered. The greater the data upload frequency and the smaller the data lag time, the better the effect of compatibility data sharing and the larger the compatibility data sharing evaluation index. Therefore, the correlation and mutual influence between various factors are taken into consideration. Frequent uploads mean high data update frequency and low lag time, that is, the increase in data upload frequency leads to a decrease in data lag time. When the data upload frequency is high, the number of data accesses will also increase. At the same time, a high number of data accesses may reflect a high demand for certain data, which will prompt the data provider to increase the frequency of data upload. Therefore, the compatibility data sharing evaluation index is obtained through comprehensive analysis, and the numerical evaluation of the compatibility data sharing effect is realized.

[0084] Among them, the specific process of obtaining the comprehensive evaluation result and providing feedback by conducting a comprehensive evaluation based on the compatibility data sharing evaluation index and the preset sharing effect threshold range in combination with the compatibility data standard quality index and the compatibility data processing evaluation index is as follows: judging whether the obtained compatibility data standard quality index is within the preset standard evaluation threshold range; if the obtained compatibility data standard quality index is within the preset standard evaluation threshold range, the compatibility data quality result is recorded as qualified in the quality evaluation, no preprocessing is performed and the initial data sharing of the compatibility is performed; otherwise, the compatibility data quality result is recorded as unqualified in the quality evaluation and preprocessing is performed; judging whether the obtained compatibility data processing evaluation index is within the preset processing effect threshold range; if the compatibility data processing evaluation index is within the preset processing effect threshold range, the compatibility data processing result is recorded. If the quality assessment is unqualified, the pre-processing assessment is qualified and the compatibility data sharing is executed, otherwise the compatibility data processing result is recorded as unqualified quality assessment, unqualified pre-processing assessment and no compatibility data sharing is executed, and the preset personnel are reminded to obtain the initial compatibility data again; determine whether the obtained compatibility data sharing evaluation index is within the preset sharing effect threshold range. If the compatibility data sharing evaluation index is within the preset sharing effect threshold range, the compatibility data sharing result is recorded as normal compatibility data sharing evaluation, otherwise the compatibility data sharing result is recorded as abnormal compatibility data sharing evaluation and the preset personnel are reminded to perform compatibility data sharing again until the compatibility data sharing evaluation index is within the preset sharing effect threshold range; the comprehensive evaluation results include compatibility data quality results, compatibility data processing results and compatibility data sharing results.

[0085] In this embodiment, the preset sharing effect threshold range is set by professionals according to standards in the field. For example, the preset sharing effect threshold range is generally set to 0 to 5, thereby achieving an accurate evaluation of the sharing effect of the compatibility data.

[0086] There are a few points to note:

[0087] (1) The drawings of the embodiments of the present invention only relate to the structures related to the embodiments of the present invention, and other structures may refer to the general design.

[0088] (2) For the sake of clarity, in the drawings used to describe the embodiments of the present invention, the thickness of the layers or regions is exaggerated or reduced, that is, these drawings are not drawn according to the actual scale. It is understood that when an element such as a layer, film, region or substrate is referred to as being "on" or "under" another element, the element may be "directly" "on" or "under" the other element or there may be intermediate elements.

[0089] (3) In the absence of conflict, the embodiments of the present invention and the features therein may be combined with each other to obtain new embodiments.

[0090] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. The protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A prescription compatibility analysis method for drug clinical relevance, characterized in that: The following steps are involved: S1, obtaining the initial compatibility data of the preset medical institution, wherein the initial compatibility data includes initial drug data, initial prescription compatibility data and initial clinical data; S2, evaluating the standardization degree of the initial compatibility data to obtain a standard quality index of the compatibility data, and judging whether to perform preprocessing of the initial compatibility data based on the standard quality index of the compatibility data and a preset standard evaluation threshold range, wherein the standard quality index of the compatibility data is used to comprehensively quantify the standardization degree of the initial compatibility data; S3, obtaining the compatibility data after the preprocessing of the initial data of the compatibility is performed, evaluating the effect of the preprocessing of the initial data of the compatibility to obtain a compatibility data processing evaluation index, and judging whether to perform the compatibility data sharing based on the compatibility data processing evaluation index and a preset processing effect threshold range, wherein the compatibility data processing evaluation index is used to evaluate the effect of the preprocessing of the initial data of the compatibility; S4, obtaining a compatibility data sharing evaluation index after executing compatibility data sharing, performing a comprehensive evaluation based on the compatibility data sharing evaluation index and a preset sharing effect threshold range in combination with a compatibility data standard quality index and a compatibility data processing evaluation index to obtain a comprehensive evaluation result and provide feedback, wherein the compatibility data sharing evaluation index is used to evaluate the effect of compatibility data sharing.

2. The method for analyzing prescription compatibility of drug clinical correlation according to claim 1, characterized in that: The initial drug data includes drug name, drug efficacy information and drug dosage; The prescription compatibility initial data includes prescription name, prescription component name, prescription component dosage and prescription efficacy information; The clinical initial data include the name of the clinically used prescription, the clinical prescription dosage, the clinical prescription use time interval and the clinical prescription use course.

3. The method for analyzing prescription compatibility of drug clinical correlation according to claim 1, characterized in that: The specific steps of evaluating the standardization degree of the initial compatibility data to obtain the compatibility data standard quality index are as follows: The category format fields of the initial data of the compatibility are numbered and compared with the preset standard category format fields to obtain the format standard compliance value; Obtaining a total amount of compatibility related values ​​of the initial data of compatibility, wherein the total amount of compatibility related values ​​includes the total amount of the initial data of compatibility, the total amount of the numerical values ​​of the initial data of compatibility, the total number of numerical compliance of the initial data of compatibility, the total number of missing values ​​of compatibility, and the numerical standard degree evaluation value, wherein the total number of numerical compliance of the initial data of compatibility is used to quantify the degree of compliance between the total number of numerical values ​​of the initial data of compatibility and the preset data numerical range; Obtaining a compatibility time series related value of a preset prescription in the initial compatibility data, wherein the compatibility time series related value includes a total number of compatibility time series, a compatibility time interval series, and a standard time interval of the compatibility time series; Obtaining a compatibility standard related evaluation score according to the compatibility total amount related value, the compatibility time series related value and the reference value obtained from the preset database, wherein the compatibility standard related evaluation score includes a compatibility standard numerical evaluation score and a compatibility standard time series evaluation score, and the reference value includes a numerical standard degree reference value and a time series standard degree reference value; The format standard compliance value, the total amount of compatibility related value, the compatibility standard related evaluation score and the standard evaluation weight obtained from the preset database are combined to obtain the compatibility data standard quality index, wherein the standard evaluation weight includes the format standard weight, the data integrity weight, the numerical standard weight and the time series standard weight.

4. The method for analyzing prescription compatibility of drug clinical correlation according to claim 3, characterized in that: The method for obtaining the standard quality index of the compatibility data is as follows: In the formula, Y represents the standard quality index of the compatibility data, α represents the format standardization weight, i represents the category format field number of the compatibility initial data, i=1,2,...,N, N represents the total number of category format fields, and F i Indicates the format standard compliance value of the format field of the i-th category, f i represents the i-th category format field of the initial data of compatibility, β represents the data integrity weight, k represents the total amount of initial data of compatibility, h represents the total number of missing values ​​of compatibility, γ represents the numerical standard weight, A ′ represents the numerical standard degree evaluation value, δ represents the standard weight of the time series, q represents the compatibility time series number, q=1,2,...,Q-1, Q represents the total number of compatibility time series, represents the compatibility time series interval between the qth compatibility time series and the q+1th compatibility time series, Δt represents the compatibility time series standard time interval, A0 represents the numerical standard degree reference value, B0 represents the time series standard degree reference value, A represents the compatibility standard numerical evaluation score, B represents the compatibility standard time series evaluation score, f ’ Indicates the preset standard category format field.

5. The method for analyzing prescription compatibility of drug clinical correlation according to claim 1, characterized in that: The specific steps of judging whether to perform the initial compatibility data preprocessing based on the compatibility data standard quality index and the preset standard evaluation threshold range are as follows: Compare the compatibility data standard quality index with the preset standard evaluation threshold range: If the standard quality index of the compatibility data is within the preset standard evaluation threshold range, the initial compatibility data preprocessing is not performed, and the initial compatibility data is transmitted to the preset prescription compatibility analysis database and automatically backed up; If the standard quality index of the compatibility data exceeds the preset standard evaluation threshold range, the initial compatibility data preprocessing is performed.

6. The method for analyzing prescription compatibility of drug clinical correlation according to claim 5, characterized in that: The specific steps of performing the initial data preprocessing of the compatibility are as follows: The first compatibility data is obtained by performing data standardization, data cleaning and data conversion on the initial compatibility data; Performing data integration on the first compatibility data to obtain second compatibility data; The second compatibility data is normalized and compressed to obtain the compatibility data.

7. The method for analyzing prescription compatibility of drug clinical correlation according to claim 1, characterized in that: The specific steps of evaluating the effect of the preprocessing of the initial data of the compatibility to obtain the compatibility data processing evaluation index are as follows: Acquiring initial treatment evaluation data of the compatibility, wherein the initial treatment evaluation data of the compatibility includes a missing rate of the initial treatment of the compatibility, a duplication rate of the initial treatment of the compatibility, and an accuracy rate of the initial treatment of the compatibility; Acquiring compatibility processing evaluation data after performing compatibility initial data preprocessing, wherein the compatibility processing evaluation data includes a compatibility processing missing rate, a compatibility processing duplication rate, and a compatibility processing accuracy rate; Obtaining corresponding treatment evaluation related values ​​according to the initial treatment evaluation data of the compatibility and the treatment evaluation data of the compatibility, wherein the treatment evaluation related values ​​include treatment missing rate related values, treatment repetition rate related values ​​and treatment accuracy related values, wherein the treatment missing rate related value represents the ratio of the difference between the initial treatment missing rate of the compatibility and the treatment missing rate of the compatibility to the initial treatment missing rate of the compatibility, the treatment repetition rate related value represents the ratio of the difference between the initial treatment repetition rate of the compatibility and the treatment repetition rate of the compatibility to the initial treatment repetition rate of the compatibility, and the treatment accuracy related value represents the ratio between the difference between the treatment accuracy rate of the compatibility and the initial treatment accuracy rate of the compatibility and the complement of the initial treatment accuracy rate of the compatibility; Obtaining a reference treatment-related assessment score according to a reference treatment maximum standard value and a treatment assessment-related value obtained from a preset database, wherein the reference treatment-related assessment score represents a ratio of a difference between the reference treatment maximum standard value and the corresponding treatment assessment-related value to the corresponding reference treatment maximum standard value, wherein the reference treatment maximum standard value includes a reference standard maximum missing amount, a reference standard maximum consistent amount, and a reference standard maximum accurate amount, and the reference treatment-related assessment score includes a missing treatment assessment score, a consistent treatment assessment score, and an accurate treatment assessment score; The reference treatment-related evaluation score is multiplied and summed with the corresponding treatment evaluation weight to obtain the pretreatment mapping parameter, and the compatibility data processing evaluation index is obtained according to the complement of the pretreatment mapping parameter and the pretreatment influencing factor obtained from the preset database. The treatment evaluation weight includes a treatment integrity weight, a treatment consistency weight, and a treatment accuracy weight.

8. The method for analyzing prescription compatibility of drug clinical correlation according to claim 1, characterized in that: The specific steps of judging whether to perform compatibility data sharing based on the compatibility data processing evaluation index and the preset processing effect threshold range are as follows: Compare the compatibility data processing evaluation index with the preset treatment effect threshold range: If the compatibility data processing evaluation index exceeds the preset processing effect threshold range, the compatibility data sharing will not be performed, and the compatibility data will be backed up in real time and uploaded to the cloud storage; If the compatibility data processing evaluation index is within the preset treatment effect threshold range, the compatibility data sharing is executed, and the compatibility data is desensitized and transmitted to the preset prescription compatibility sharing database.

9. The method for analyzing prescription compatibility of drug clinical correlation according to claim 1, characterized in that: The specific steps of obtaining the compatibility data sharing evaluation index after executing the compatibility data sharing are as follows: Obtaining a sharing status related value after the compatibility data sharing is performed within a preset time interval, wherein the sharing status related value includes the total number of medical institutions to be shared, the actual number of shared medical institutions, and the number of data accesses; Obtaining relevant values ​​of the timeliness of a preset medical institution within a preset time interval, wherein the relevant values ​​of the timeliness include data upload frequency, data validity time, and data lag time; The ratio of the actual number of shared medical institutions to the total number of shared medical institutions is multiplied by the number of data accesses after taking the logarithm operation, and then multiplied by the data sharing impact factor obtained from the preset database to obtain the data sharing evaluation score; The timeliness frequency evaluation score is obtained by multiplying the ratio of the data upload frequency to the reference upload frequency by the upload frequency impact weight obtained from the preset database; The complement of the data validity time and the data lag time are multiplied and then the ratio is calculated with the reference upload time obtained from the preset database, and then the upload time influence weight obtained from the preset database is multiplied to obtain the timeliness evaluation score; The aging frequency evaluation score and the aging time evaluation score are added together, multiplied by the data sharing impact factor obtained from the preset database, and then added to the data sharing evaluation score to obtain the compatibility data sharing evaluation index.

10. The method for analyzing prescription compatibility of drug clinical correlation according to claim 1, characterized in that: The specific process of performing a comprehensive evaluation based on the compatibility data sharing evaluation index and the preset sharing effect threshold range in combination with the compatibility data standard quality index and the compatibility data processing evaluation index to obtain a comprehensive evaluation result and provide feedback is as follows: Determine whether the obtained compatibility data standard quality index is within the preset standard evaluation threshold range. If the obtained compatibility data standard quality index is within the preset standard evaluation threshold range, the compatibility data quality result is recorded as qualified in the quality evaluation and no preprocessing is performed. Otherwise, the compatibility data quality result is recorded as unqualified in the quality evaluation and preprocessing is performed and the initial compatibility data sharing is performed. Determine whether the obtained compatibility data processing evaluation index is within the preset processing effect threshold range. If the compatibility data processing evaluation index is within the preset processing effect threshold range, the compatibility data processing result is recorded as unqualified in quality assessment and qualified in pre-processing assessment, and compatibility data sharing is performed; otherwise, the compatibility data processing result is recorded as unqualified in quality assessment and unqualified in pre-processing assessment, and compatibility data sharing is not performed, and the preset personnel are reminded to obtain the initial compatibility data again; Determine whether the obtained compatibility data sharing evaluation index is within the preset sharing effect threshold range. If the compatibility data sharing evaluation index is within the preset sharing effect threshold range, the compatibility data sharing result is recorded as the compatibility data sharing evaluation is normal. Otherwise, the compatibility data sharing result is recorded as the compatibility data sharing evaluation is abnormal and remind the preset personnel to perform compatibility data sharing again until the compatibility data sharing evaluation index is within the preset sharing effect threshold range. The comprehensive evaluation results include compatibility data quality results, compatibility data processing results and compatibility data sharing results.

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