Quality management method and system for laboratory of pre-pregnancy prenatal health examination

Abstract

The invention discloses a quality management method and system for a laboratory for pre-pregnancy prenatal health examination, and relates to the technical field of data processing. The method comprises the following steps: acquiring equipment detection data, personnel training data, environment detection data and quality control data of a plurality of pregnancy laboratories in a target period; for each excellent pregnancy laboratory, performing quality inspection evaluation on equipment detection data, personnel training data, environment detection data and quality control data of the excellent pregnancy laboratory to obtain an equipment quality inspection evaluation value, a personnel quality inspection evaluation value, an environment quality inspection evaluation value and a quality control evaluation value, and determining a comprehensive quality inspection evaluation value of each excellent pregnancy laboratory; receiving the number of pregnancy optimization items completed by each pregnancy optimization laboratory, and determining a corresponding quality-effect ratio according to each comprehensive quality inspection evaluation value and the number of pregnancy optimization items; and generating a quality evaluation report based on each quality-effect ratio. By implementing the technical scheme provided by the invention, the effect of improving the quality management accuracy of the laboratory for prepregnancy prenatal health examination is achieved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a quality management method, system, electronic equipment and storage medium for a laboratory for pre-pregnancy eugenics health examination. Background Art

[0002] As society pays more and more attention to eugenics, pre-pregnancy eugenics health examination plays an increasingly important role in preventing birth defects and improving the quality of the population. As an important place for carrying out this work, the quality management of the pre-pregnancy eugenics health examination laboratory, namely the pregnancy eugenics laboratory, is related to the accuracy and reliability of the examination results, which in turn affects the health of the majority of people of childbearing age and the sustainable development of society.

[0003] At present, the existing quality management method of laboratories for pre-pregnancy eugenics health examinations collects various data from the laboratory and conducts separate evaluations to judge the quality of the laboratory. However, in actual applications, it is often difficult to reflect the overall quality of the pregnancy eugenics laboratory by only evaluating data from different dimensions separately, resulting in errors in the laboratory's quality evaluation results, thereby reducing the accuracy of the quality management of laboratories for pre-pregnancy eugenics health examinations. Summary of the invention

[0004] The present application provides a quality management method and system for a laboratory for pre-pregnancy eugenics health examination, which has the effect of improving the accuracy of quality management of the laboratory for pre-pregnancy eugenics health examination.

[0005] In a first aspect, the present application provides a quality management method for a laboratory for pre-pregnancy eugenics health examination, comprising: Obtain equipment testing data, personnel training data, environmental testing data, and quality control data from multiple pregnancy laboratories within the target period; For each of the pregnancy optimization laboratories, quality inspection and evaluation are performed on the equipment testing data, personnel training data, environmental testing data, and quality control data of the pregnancy optimization laboratory to obtain the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value, and quality control evaluation value corresponding to the pregnancy optimization laboratory; Determine the comprehensive quality inspection evaluation value of each pregnancy optimization laboratory by combining the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value and quality control evaluation value of each pregnancy optimization laboratory; Receive the number of pregnancy optimization projects completed by each pregnancy optimization laboratory within the target cycle, and determine the quality-efficiency ratio corresponding to each pregnancy optimization laboratory based on the comprehensive quality inspection evaluation value and the number of pregnancy optimization projects of each pregnancy optimization laboratory; A quality assessment report is generated based on the quality-efficiency ratio of each pregnancy-optimizing laboratory.

[0006] In a second aspect of the present application, a quality management system for a laboratory for pre-pregnancy eugenics health examination is provided, the system comprising: The data acquisition module is used to obtain equipment testing data, personnel training data, environmental testing data, and quality control data of multiple pregnancy laboratories within the target period; An evaluation value determination module is used to perform quality inspection and evaluation on the equipment testing data, personnel training data, environmental testing data and quality control data of each of the pregnancy optimization laboratories, respectively, to obtain the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value and quality control evaluation value corresponding to the pregnancy optimization laboratory; and to determine the comprehensive quality inspection and evaluation value of each of the pregnancy optimization laboratories by combining the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value and quality control evaluation value of each of the pregnancy optimization laboratories; A quality-efficiency ratio determination module is used to receive the number of pregnancy optimization projects completed by each pregnancy optimization laboratory within the target cycle, and determine the quality-efficiency ratio corresponding to each pregnancy optimization laboratory according to the comprehensive quality inspection evaluation value and the number of pregnancy optimization projects of each pregnancy optimization laboratory; The quality assessment module is used to generate a quality assessment report based on the quality-efficiency ratio corresponding to each of the pregnancy-optimizing laboratories.

[0007] In a third aspect of the present application, an electronic device is provided, comprising a memory, a processor, and a program stored in the memory and executable on the processor, wherein the program can implement a quality management method for a laboratory for pre-pregnancy eugenics health examination when loaded and executed by the processor.

[0008] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor implements a quality management method for a laboratory for pre-pregnancy eugenics health examination.

[0009] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: By adopting the above technical scheme, the equipment test data, personnel training data, environmental test data and quality control data of multiple pregnancy laboratories within the target period are obtained to ensure the comprehensiveness and accuracy of the data. Then, the equipment, personnel, environment and quality control data of each laboratory are quality inspected and evaluated respectively, and the corresponding equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value and quality control evaluation value are generated, thereby realizing the quality evaluation of each key link of the laboratory. These quality inspection evaluation values ​​are integrated to obtain the comprehensive quality inspection evaluation value of each laboratory, which reflects the overall quality management level of the laboratory. Subsequently, combined with the number of pregnancy projects completed by each laboratory within the target period, the quality-efficiency ratio is calculated based on the comprehensive quality inspection evaluation value, which effectively measures the work of the laboratory while ensuring quality. Finally, a detailed quality evaluation report is generated based on the quality-efficiency ratio of each laboratory to manage the quality of multiple pregnancy laboratories. This technical scheme quantifies the quality management indicators by combining the four dimensions of equipment, personnel, environment and quality management, and analyzes them in combination with the work situation, thereby realizing the comprehensive quality management of the pre-pregnancy eugenics health examination laboratory, thereby improving the quality management accuracy of the pre-pregnancy eugenics health examination laboratory. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a flow chart of a quality management method for a laboratory of pre-pregnancy eugenics health examination provided in an embodiment of the present application; Figure 2 It is a structural schematic diagram of a quality management system for a laboratory for pre-pregnancy eugenics health examination provided in an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0011] Description of reference numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0012] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0013] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0014] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0015] The present application embodiment provides a quality management method for a laboratory for pre-pregnancy eugenics health examination. In one embodiment, please refer to Figure 1 , Figure 1 This is a flow chart of a quality management method for a laboratory for pre-pregnancy eugenics health examination provided in an embodiment of the present application. The method can be implemented by a computer program, which can be integrated in an application or run as an independent tool application. The method can also be implemented by a single-chip microcomputer or run in a quality management system for a laboratory for pre-pregnancy eugenics health examination based on the von Neumann system. Specifically, the method can include the following steps: Step 101: Obtain equipment testing data, personnel training data, environmental testing data, and quality control data of multiple pregnancy laboratories within a target period.

[0016] Among them, the pregnancy eugenics laboratory refers to a medical laboratory that specializes in undertaking pre-pregnancy eugenics health examination projects. In the embodiments of this application, it can be understood as a medical laboratory that provides services such as pre-pregnancy examinations, prenatal screening, pregnancy monitoring, and eugenics consultation.

[0017] The target cycle refers to the time range for quality assessment, which can be understood as the most recent quarter in the embodiment of the present application, and is used to obtain the laboratory's operating data within this time period, evaluate the laboratory's current quality status, and ensure the timeliness of the quality assessment results.

[0018] Equipment inspection data refers to the quantitative indicators of the operation and maintenance status of various types of testing equipment in the Yunyou laboratory within the target period. Specifically, it can be understood as three indicators including equipment calibration rate, equipment verification rate and equipment maintenance rate, which are used to evaluate the status and usage of laboratory equipment.

[0019] Personnel training data refers to the data generated after the laboratory personnel are trained. In the embodiment of the present application, it can be understood as the employee training completion rate and the training assessment pass rate, which is used to evaluate the training status and mastery level of laboratory personnel.

[0020] Environmental testing data refers to the quantitative data obtained by the Yunyou Laboratory through testing and monitoring of various laboratory environmental parameters during the target period. Specifically, it can be understood as six indicators including the environmental temperature pass rate, humidity pass rate, hazardous waste safe disposal pass rate, sample safe storage and custody and transportation pass rate, biosafety protection facilities and material equipment pass rate, and material and specimen storage temperature pass rate, which are used to evaluate the laboratory's environmental conditions.

[0021] Quality control data refers to the quantitative indicators generated by the quality control and quality evaluation activities carried out by the Pregnancy Laboratory within the target period. Specifically, it can be understood as two indicators: the internal quality control index and the external quality evaluation index. These data are used to evaluate the operating effect of the laboratory quality management system. Through the comprehensive analysis of the internal quality control and external quality evaluation results, the reliability of the laboratory's test results and the level of testing capabilities can be objectively reflected.

[0022] Specifically, in order to comprehensively evaluate the quality level of multiple prenatal eugenics health examination laboratories, it is necessary to obtain various operating data of the laboratories as the basis for evaluation. The target cycle is extracted from the laboratory information management platform, such as the equipment test data, personnel training data and environmental monitoring data uploaded by each laboratory in the past three months. Equipment test data includes the calibration rate and usage rate of major medical equipment; personnel training data includes employee training completion rate and training assessment pass rate; environmental test data includes environmental temperature qualification rate, humidity qualification rate, hazardous waste safe disposal qualification rate, sample safe storage and custody transfer qualification rate, biosafety protection facilities and material equipment qualification rate, and material and specimen storage temperature qualification rate. The purpose of obtaining these three types of data is to evaluate the quality management level of the laboratory in terms of equipment, personnel and environment. By obtaining comprehensive and detailed first-hand data, the accuracy and fairness of subsequent quality evaluation are guaranteed. At the same time, the operation data of the most recent quarter can be selected to evaluate the current quality status of the laboratory.

[0023] Step 102: For each pregnancy optimization laboratory, quality inspection and evaluation are performed on the equipment testing data, personnel training data, environmental testing data and quality control data of the pregnancy optimization laboratory to obtain the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value and quality control evaluation value corresponding to the pregnancy optimization laboratory.

[0024] Among them, the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value and quality control evaluation value refer to the quantitative values ​​obtained after evaluating the laboratory equipment, personnel, environmental quality and quality management. In the embodiments of the present application, it can be understood as the evaluation scores calculated from the equipment detection data, personnel training data, environmental detection data and quality control data.

[0025] Specifically, in order to evaluate the quality level of each pre-pregnancy eugenics laboratory, it is necessary to conduct quality inspection and evaluation on the equipment test data, personnel training data, environmental test data and quality control data of each laboratory item by item, and obtain the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value and quality control evaluation value. Each pre-pregnancy eugenics laboratory is evaluated in turn. For each laboratory, the system reads its equipment test data and calculates the equipment quality inspection evaluation value according to the preset evaluation rules; at the same time, it reads the personnel training data to calculate the personnel quality inspection evaluation value; reads the environmental test data to calculate the environment quality inspection evaluation value; and finally reads the quality control data to calculate the laboratory quality control evaluation value. The equipment quality inspection evaluation value reflects the quality level of the laboratory equipment; the personnel quality inspection evaluation value reflects the comprehensive quality of the staff; the environmental quality inspection evaluation value reflects the compliance of the overall laboratory environment; the quality control evaluation value reflects the reliability of the laboratory test results and the level of test capabilities. By calculating the four quality inspection evaluation values ​​item by item, the management effect of each laboratory in different aspects such as equipment, personnel, environment and quality management can be comprehensively evaluated, laying the foundation for the subsequent determination of the comprehensive quality level of the laboratory.

[0026] Based on the above embodiment, as an optional embodiment, in step 102: the equipment testing data, personnel training data and environmental testing data of the pregnancy optimization laboratory are respectively quality inspected and evaluated to obtain the equipment quality inspection evaluation value, personnel quality inspection evaluation value and environmental quality inspection evaluation value corresponding to the pregnancy optimization laboratory. This step may also include the following steps: Step 201: Based on a preset data weight mapping table, weighted calculation is performed on the equipment calibration rate, equipment verification rate and equipment maintenance rate in the equipment detection data to obtain the equipment quality inspection evaluation value of the Yunyou Laboratory.

[0027] Among them, the preset data weight mapping table refers to a table that stores the correspondence between the weights of different data indicators. In the embodiment of the present application, it can be understood as a table that stores the correspondence between the parameters of equipment data such as equipment calibration rate, equipment verification rate and equipment maintenance rate and their weight coefficients, which is used for the weights of different equipment data parameters to make the quality assessment more comprehensive.

[0028] The equipment calibration rate refers to the ratio of the number of devices that have been calibrated within a certain period of time to the total number of devices. In the embodiment of the present application, it can be understood as the ratio of the number of major medical devices that have been calibrated within the last month to the total number of equipment in the laboratory, which is used to evaluate the calibration and maintenance of laboratory equipment.

[0029] Equipment verification rate and equipment maintenance rate are two important indicators for evaluating the standardization of equipment management in Yunyou Laboratory. Equipment verification rate refers to the ratio of the number of equipment that has completed statutory verification to the total number of equipment that should be verified within the target period.

[0030] The equipment maintenance rate refers to the ratio of the number of equipment that has completed maintenance within the target period to the total number of equipment that needs maintenance.

[0031] Specifically, in order to evaluate the equipment management quality of the Yunyou laboratory, it is necessary to reasonably allocate weights and perform weighted calculations on the three core indicators in the equipment testing data. Specifically, a data weight mapping table is first established, in which the weight values ​​of the equipment calibration rate, equipment verification rate, and equipment maintenance rate are preset, among which the weight value of the equipment calibration rate is 0.4, the weight value of the equipment verification rate is 0.4, and the weight value of the equipment maintenance rate is 0.2. This weight allocation fully considers the influence of various indicators on the accuracy of the test results. Among them, equipment calibration and verification are directly related to the accuracy and traceability of the test data, so they are given a higher weight; although equipment maintenance is also very important, it mainly affects the service life and stability of the equipment, and its relative weight is relatively low. When performing weighted calculations, the equipment calibration rate, equipment verification rate, and equipment maintenance rate are multiplied by their corresponding weight values ​​respectively, and then the three weighted results are added to obtain the final equipment quality inspection evaluation value. For example, the equipment calibration rate of a pregnancy laboratory is 95%, the equipment verification rate is 92%, and the equipment maintenance rate is 88%. The equipment quality inspection evaluation value is calculated as: 0.4×95%+0.4×92%+0.2×88%=92.4%. Through this standardized weight calculation method, a comprehensive evaluation value that can objectively reflect the laboratory equipment management level can be obtained, which is convenient for the laboratory to understand its own equipment management status and to compare horizontally with other laboratories. At the same time, this evaluation method also helps the laboratory to clarify the focus of improvement, give priority to equipment management work that has a greater impact on inspection quality, and thus improve the pertinence and effectiveness of quality management.

[0032] Step 202: Based on a preset data weight mapping table, weighted calculation is performed on the personnel training completion rate and the personnel training assessment pass rate in the personnel training data to obtain the personnel quality inspection evaluation value of the pregnancy laboratory.

[0033] Among them, the personnel training completion rate refers to the ratio of the number of employees who have completed the training within a certain period of time to the total number of employees in the laboratory. In the embodiment of the present application, it can be understood as the ratio of the number of employees who have completed the training within the last month to the total number of employees in the laboratory, which is used to evaluate the training participation of laboratory personnel.

[0034] The personnel training assessment pass rate refers to the ratio of the number of employees who have participated in the training assessment and passed it within a certain period of time to the total number of employees who have participated in the assessment. In the embodiment of the present application, it can be understood as the ratio of the number of employees who have participated in the training assessment and obtained a qualified qualification within the last month to the total number of employees who have participated in the assessment. It is used to evaluate the training effect of laboratory personnel.

[0035] Specifically, in order to evaluate the quality of laboratory personnel, it is necessary to perform weighted calculations on the personnel training completion rate and the assessment pass rate. First, read the preset personnel data weight mapping table, which defines the weight coefficients of the two parameters of personnel training completion rate and assessment pass rate. In order to reasonably reflect the different impacts of training participation and effectiveness on personnel quality, the system pre-sets the weight coefficient of the training completion rate to be greater than the assessment pass rate. Then, the system reads the personnel training completion rate and assessment pass rate data reported by the laboratory. According to the weight coefficients in the mapping table, the system performs weighted calculations on the training completion rate and the assessment pass rate to generate a quality inspection evaluation value for the personnel, which can accurately evaluate the quality of each laboratory personnel team and lay the foundation for the subsequent comprehensive quality grading assessment.

[0036] For example, suppose that the personnel training data of a prenatal eugenics health examination laboratory B in a certain period is as follows: Laboratory B has a total of 10 employees, and there are 8 training sessions required in this period. The employees actually completed 6 training sessions. A total of 10 people participated in the training assessment, and 8 people passed the assessment. Then: Personnel training completion rate = actual number of completed training sessions / number of required training sessions = 6 / 8 = 75%, and personnel training assessment pass rate = number of people who passed the assessment / total number of people who passed the assessment = 8 / 10 = 80%. According to the preset data weight mapping table: the weight coefficient of the personnel training completion rate is 0.7, and the weight coefficient of the personnel training assessment pass rate is 0.3, then the personnel quality inspection evaluation value is: Personnel quality inspection evaluation value = 0.7*75%+0.3*80%=76%. Through this example, the personnel training data is weighted according to the preset weights to obtain the personnel quality inspection evaluation value, which can fully reflect the impact of personnel training on laboratory quality.

[0037] Step 203: Based on the preset data weight mapping table, weighted calculations are performed on the environmental temperature pass rate, humidity pass rate, hazardous waste safe disposal pass rate, sample safe storage and custody and transportation pass rate, biosafety protection facilities and material equipment pass rate, and material and specimen storage temperature pass rate in the environmental testing data to obtain the environmental quality inspection assessment value of the Yunyou Laboratory.

[0038] Among them, the ambient temperature qualification rate refers to the ratio of the number of times the temperature monitoring data meets the standard requirements to the total number of monitoring times within a certain time period. In the embodiment of the present application, it can be understood as the ratio of the number of times the temperature monitoring values ​​in the laboratory are within the standard allowable range to the total number of monitoring times within the most recent month, which is used to evaluate the ambient temperature control effect of the laboratory.

[0039] The humidity qualified rate refers to the ratio of the relative humidity test results of each test area of ​​the pregnancy laboratory that meet the standard requirements within the target period. In the embodiment of the present application, it can be understood that according to the relevant specifications, the humidity detection equipment is used to perform regular detection of each functional area of ​​the laboratory, and the test results are compared with the prescribed humidity standard range, and the percentage of qualified test points to the total number of test points is calculated.

[0040] The qualified rate of safe disposal of hazardous waste refers to the ratio of medical waste, chemical waste liquid and other hazardous wastes generated by Yunyou Laboratory that are collected, temporarily stored, transferred and treated in accordance with regulatory requirements within the target period.

[0041] The pass rate of safe storage, custody and transportation of samples refers to the ratio of biological samples, including blood, urine and other human samples, that meet the regulatory requirements during the storage, custody and transportation process of Yunyou Laboratory within the target period.

[0042] The qualified rate of biosafety protection facilities and supplies refers to the ratio of the biosafety protection facilities and related materials equipped in the Yunyou laboratory that meet the regulatory requirements within the target period. It is used to evaluate the hardware foundation of the laboratory's biosafety protection capabilities, because complete biosafety protection facilities and supplies are important guarantees for ensuring the safety of laboratory personnel, preventing biological contamination, and ensuring the quality of testing.

[0043] The qualified rate of material and specimen storage temperature refers to the quantitative indicator of the compliance of the storage temperature control of test reagents, consumables, specimens and other items in the target period of the Yunyou laboratory. The qualified rate of material and specimen storage temperature can be understood as the ratio of the number of times the storage temperature monitoring results meet the specified temperature range requirements to the total number of monitoring times, which is used to evaluate the laboratory's storage management level of temperature-sensitive items.

[0044] Specifically, in order to comprehensively evaluate the environmental management quality of the pregnancy laboratory, it is necessary to comprehensively consider multiple key indicators of the laboratory environment. Specifically, first obtain the specific indicators in the environmental testing data, including the qualified rate of ambient temperature, the qualified rate of humidity, the qualified rate of safe disposal of hazardous waste, the qualified rate of safe storage and custody and transportation of samples, the qualified rate of biosafety protection facilities and materials, and the qualified rate of materials and specimen storage temperature. These indicators reflect the quality status of different aspects such as laboratory environmental conditions, safety management, and sample management. Due to the different degrees of influence of various indicators on the quality of laboratory environment, it is necessary to use a preset data weight mapping table to manage these indicators differently. In this embodiment, the preset data weight mapping table sets corresponding weight coefficients for the above-mentioned indicators, wherein the weight coefficient of the qualified rate of ambient temperature is 0.2, the weight coefficient of the qualified rate of humidity is 0.15, the weight coefficient of the qualified rate of safe disposal of hazardous waste is 0.2, the weight coefficient of the qualified rate of safe storage and custody and transportation of samples is 0.2, the weight coefficient of the qualified rate of biosafety protection facilities and materials is 0.15, and the weight coefficient of the qualified rate of materials and specimen storage temperature is 0.1. After obtaining the environmental testing data of a pregnancy laboratory, multiply the actual test value of each indicator by its corresponding weight coefficient, and then add all the weighted results to obtain the environmental quality inspection and evaluation value of the pregnancy laboratory. For example, if the environmental temperature qualification rate of a pregnancy laboratory is 95%, the humidity qualification rate is 92%, the safe disposal of hazardous waste is 98%, the safe storage and custody and transportation of samples is 96%, the biosafety protection facilities and material equipment qualification rate is 94%, and the material and specimen storage temperature qualification rate is 93%, then the environmental quality inspection and evaluation value of the pregnancy laboratory is: 95%×0.2+92%×0.15+98%×0.2+96%×0.2+94%×0.15+93%×0.1=95.15%. Through this weighted calculation method, both the actual performance of various environmental indicators and the differences in the importance of different indicators are taken into account, so that the environmental quality inspection and evaluation value can more accurately reflect the environmental management level of the pregnancy laboratory. The implementation effect of this evaluation method is manifested in the following aspects: first, by reasonably setting the weight coefficients, the importance of key indicators that have a greater impact on laboratory quality is highlighted; second, by using quantitative calculation methods, the evaluation results are made more objective and accurate; third, it is convenient for horizontal comparison between different laboratories, which is conducive to discovering problems in environmental management and making targeted improvements.

[0045] Step 204: Based on a preset data weight mapping table, weighted calculation is performed on the indoor quality control index and the external quality assessment index in the quality control data to obtain the quality control evaluation value of the pregnancy laboratory.

[0046] Among them, the indoor quality control index refers to the quantitative indicator of the inspection quality level obtained by the Yunyou laboratory through internal quality control activities within the target period. The indoor quality control index can be understood as the comprehensive score of the quality control results of each inspection item in the laboratory. It is calculated by analyzing the accuracy and precision of the test results of the quality control samples and is used to evaluate the quality control level of the laboratory's daily inspection process.

[0047] The external quality assessment index refers to the quantitative indicator of the external quality assessment level obtained by the Pregnancy Laboratory through participating in the external quality assessment activities. The external quality assessment index can be understood as the comprehensive score obtained by the laboratory in participating in various external quality assessment projects. It is calculated by testing the external quality assessment samples and comparing and analyzing the results with those of other participating laboratories. It is used to objectively evaluate the laboratory's testing capabilities and the accuracy of the test results. Through horizontal comparison with other laboratories, the advantages and disadvantages of the laboratory in terms of testing quality can be understood.

[0048] Step 103: Determine the comprehensive quality inspection evaluation value of each pregnancy optimization laboratory by combining the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value and quality control evaluation value of each pregnancy optimization laboratory.

[0049] Specifically, in order to fully reflect the overall quality level of each prenatal eugenics laboratory, it is necessary to comprehensively consider the data indicators of equipment, personnel, environment and quality management. The equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value and quality control evaluation value of each laboratory have been obtained. Through the pre-set evaluation rules, the data indicators in the four aspects are comprehensively evaluated, so as to select the comprehensive quality inspection evaluation value, which can comprehensively reflect the quality management level and experimental quality assurance capabilities of the laboratory in different dimensions such as equipment, personnel, environment and quality management. Compared with a single quality inspection evaluation value, it provides more accurate quality evaluation results.

[0050] Based on the above embodiment, as an optional embodiment, in step 103: combining the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environment quality inspection evaluation value and quality control evaluation value of each pregnancy optimization laboratory to determine the comprehensive quality inspection evaluation value of each pregnancy optimization laboratory, this step may also include the following steps: Step 301: For each pregnancy optimization laboratory, the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environment quality inspection evaluation value and quality control evaluation value are respectively used as evaluation indicators and compared with the corresponding evaluation value thresholds to determine the number of indicators in each evaluation indicator that exceed the corresponding evaluation value threshold.

[0051] Among them, the evaluation value threshold refers to the lowest acceptable value of each quality evaluation indicator. In the embodiment of the present application, it can be understood as the value of the minimum quality standard requirement set for equipment quality, personnel quality, environmental quality, and laboratory quality management. It is used to compare with the actual quality evaluation value of the laboratory to determine whether the quality indicators meet the standards. It is the basis for judging quality grading.

[0052] Specifically, in order to assess the quality level of each laboratory, it is necessary to determine whether each quality assessment indicator meets the corresponding quality standard requirements. The equipment quality inspection assessment value, personnel quality inspection assessment value, environmental quality inspection assessment value and quality control assessment value of each laboratory have been obtained. The system reads the assessment value thresholds corresponding to these four assessment indicators, that is, the minimum quality requirements for equipment, personnel, environmental quality and quality management. Then the system compares the four quality inspection assessment values ​​of each laboratory with the corresponding thresholds in turn to determine whether the assessment value exceeds the threshold. If exceeded, the corresponding indicator's compliance item is increased by one. By counting the number of indicators that exceed the threshold in the four quality assessment indicators of each laboratory, it can be determined whether the quality status of each laboratory meets the basic requirements, providing a basis for subsequent quality grade assessment.

[0053] Step 302: Evaluate the number of indicators based on preset evaluation rules to obtain a comprehensive quality inspection evaluation value of the pregnancy laboratory.

[0054] Among them, the preset evaluation rules refer to the criteria for determining the correspondence between the number of quality indicators that meet the standards and the quality grade. In the embodiment of the present application, it can be understood as the correspondence rules between the number of quality evaluation indicators such as equipment, personnel and environment that meet the standards and the comprehensive quality grade of the laboratory. It is used to determine the final quality grade of the laboratory based on the compliance of each quality evaluation indicator of the laboratory, and is the basis and standard for quality grading.

[0055] The comprehensive quality inspection evaluation value refers to the laboratory quality grade result determined based on the compliance of quality assessment indicators. In the embodiment of the present application, it can be understood as the laboratory quality grade matched according to the number of equipment, personnel and environmental quality assessment indicators reaching the threshold according to preset rules, such as Grade A, Grade B, etc., which is used to reflect the quality management level of the laboratory and is the final assessment result of the quality grading.

[0056] Specifically, in order to determine the comprehensive evaluation results of the laboratory based on the number of quality indicators that meet the standards, it is necessary to preset evaluation rules to judge the number of indicators. The number of quality evaluation indicators that meet the standards for each laboratory has been counted. The system reads the preset evaluation rules, that is, the correspondence between the number of indicators that meet the standards and the comprehensive evaluation value. The system matches the corresponding relationship in the rules based on the number of indicators that meet the standards for each laboratory, and can directly obtain the comprehensive quality evaluation results of the laboratory. This method can be used to conduct a comprehensive evaluation from multiple dimensions to obtain a comprehensive evaluation value to reflect the comprehensive quality level of the pregnancy laboratory.

[0057] Based on the above embodiment, as an optional embodiment, in step 302: the number of indicators is evaluated based on the preset evaluation rules to obtain the comprehensive quality inspection evaluation value of the pregnancy laboratory. This step may also include the following steps: Step 312: If the number of indicators is four or zero, the average value of each evaluation indicator is calculated as the comprehensive quality inspection evaluation value.

[0058] Specifically, when the number of quality assessment indicators that meet the standards of the laboratory is 4 or 0, the quality grade cannot be determined directly according to the preset rules. At this time, it is necessary to calculate the average value of the assessment indicators as the comprehensive quality inspection evaluation value. The system determines that the four quality assessment indicators of the laboratory's equipment, personnel, environment and quality management are either all up to standard or all fail to meet the standards. In these two cases, the preset quality grade rules cannot be directly matched. Therefore, the system reads the four quality inspection evaluation values ​​that have been obtained and calculates their average value. This average value is used as the new comprehensive quality inspection evaluation value of the laboratory. This calculation method can judge the average quality level of the laboratory under boundary conditions, making the quality grading results more accurate. Compared with directly setting the default grade, the calculated average value can better reflect the actual quality status of the laboratory.

[0059] Step 322: If the number of indicators is two or three, the smallest evaluation indicator among the evaluation indicators that exceed the corresponding evaluation value threshold is used as the comprehensive quality inspection evaluation value.

[0060] Specifically, when the number of quality assessment indicators that meet the standards of a laboratory is 2 or 3, the quality level cannot be directly determined according to the preset rules. At this time, an alternative plan is needed to determine the comprehensive quality inspection evaluation value. The system determines that 2 or 3 of the 4 quality assessment indicators of the laboratory have reached the threshold requirements. In this case, the preset grade rules cannot be matched. Therefore, the system reads the 2 or 3 evaluation indicators that exceed the threshold and finds the indicator with the smaller value. The system uses this smaller evaluation indicator value as the new comprehensive quality inspection evaluation value of the laboratory. This calculation method can select indicators with poorer quality to reflect the overall quality of the laboratory when multiple indicators are only partially met.

[0061] Step 332: If the number of indicators is one, the product of the evaluation indicator exceeding the corresponding evaluation value threshold and the preset ratio is used as the comprehensive quality inspection evaluation value.

[0062] Specifically, when the number of quality assessment indicators that meet the standards in a laboratory is only one, the quality level cannot be directly determined according to the preset rules. At this time, an alternative solution is needed to calculate the comprehensive quality inspection evaluation value. The system determines that of the four quality assessment indicators of the laboratory, only one has reached the threshold requirement. In this case, the preset grade rules cannot be matched, so the system reads the only evaluation indicator that exceeds the threshold. The system also reads the preset proportional coefficient, such as 0.8. Finally, the system multiplies this evaluation indicator by the proportional coefficient to generate a new comprehensive quality inspection evaluation value. This calculation method can best reflect the overall quality status of the laboratory when only a single indicator meets the standard. The introduction of the proportional coefficient can adjust the results more flexibly.

[0063] Step 104: Receive the number of pregnancy optimization projects completed by each pregnancy optimization laboratory within the target period, and determine the quality-efficiency ratio corresponding to each pregnancy optimization laboratory based on the comprehensive quality inspection evaluation value and the number of pregnancy optimization projects of each pregnancy optimization laboratory.

[0064] Among them, the number of pre-pregnancy eugenics projects refers to the number of pre-pregnancy eugenics-related experimental projects completed by the laboratory within a specific time period. In the embodiment of the present application, it can be understood as the total number of various pre-pregnancy eugenics laboratory tests and other projects completed by the laboratory in the past 3 months. It is used to reflect the experimental output effect of the laboratory, and is combined with the quality management level indicators to calculate the quality-efficiency ratio of the laboratory.

[0065] The quality-efficiency ratio refers to a combined indicator that reflects the laboratory's quality level and experimental output effects. In the embodiments of the present application, it can be understood as the ratio of the laboratory's comprehensive quality inspection evaluation value to the number of pregnancy-optimizing projects it has completed. It is used to simultaneously consider the laboratory's quality management effect and actual work output, and serves as an important evaluation result for judging the quality of the laboratory.

[0066] Specifically, in order to comprehensively evaluate the quality level of the laboratory, it is necessary to consider both the quality management situation and the experimental output effect. The system has obtained the number of prenatal eugenics projects completed by each laboratory within a specified period, such as the last 3 months. The system also obtains the comprehensive quality inspection evaluation value of each laboratory, that is, the quality level indicator calculated based on multiple aspects such as equipment, personnel, and environment. Then, the system combines the number of projects in each laboratory with its quality inspection evaluation value to generate a quality-efficiency ratio result. A high quality-efficiency ratio means that the experimental output effect is good under the premise of ensuring quality. The dual-indicator evaluation result can fully reflect the laboratory's quality management level and actual operation effect.

[0067] Based on the above embodiment, as an optional embodiment, in step 104: determining the quality-efficiency ratio of each pregnancy optimization laboratory according to the comprehensive quality inspection evaluation value and the number of pregnancy optimization items of each pregnancy optimization laboratory, this step may also include the following steps: Step 401: For each pregnancy optimization laboratory, calculate the ratio between the comprehensive quality inspection evaluation value and the benchmark quality inspection evaluation value as the quality inspection pass rate, and calculate the ratio between the number of pregnancy optimization items and the number of standard pregnancy optimization items corresponding to the pregnancy optimization laboratory as the project completion rate.

[0068] Among them, the quality inspection pass rate refers to the degree of match between the laboratory's quality management level and the standard requirements. In the embodiment of the present application, it can be understood as the ratio of the laboratory's comprehensive quality inspection evaluation value to the preset benchmark quality inspection evaluation value, which is used to reflect whether the laboratory's quality control effect meets the requirements.

[0069] The project completion rate refers to the degree of match between the actual output of the laboratory and the standard requirements. In the embodiment of the present application, it can be understood as the ratio of the number of pre-pregnancy eugenics projects completed by the laboratory within a certain period of time to the number of projects specified in the standard, which is used to reflect whether the experimental output effect of the laboratory meets the requirements.

[0070] Specifically, in order to reflect the quality management level and experimental output effect of each laboratory, it is necessary to calculate the two important indicators of quality inspection pass rate and project completion rate. The system has obtained the comprehensive quality inspection evaluation value of each laboratory. The system also presets a benchmark quality inspection evaluation value as a common quality management requirement standard for all laboratories. The system compares the comprehensive quality inspection evaluation value of each laboratory with the benchmark value, calculates the ratio of the two, and generates the quality inspection pass rate. At the same time, the system obtains the actual number of pregnancy projects completed by each laboratory, as well as the standard number of projects. The system calculates the ratio of the actual number to the standard number, generates the project completion rate, and the two key indicators of quality inspection pass rate and project completion rate can reflect the achievement of each laboratory in terms of quality management and experimental output.

[0071] Step 402: The ratio of the quality inspection pass rate to the project completion rate is used as the quality-efficiency ratio of the pregnancy laboratory.

[0072] Specifically, in order to comprehensively judge the quality and effectiveness of the laboratory, it is necessary to calculate the ratio of the quality inspection pass rate to the project completion rate as the quality-efficiency ratio. The system has obtained the two core indicators of the quality inspection pass rate and the project completion rate of each laboratory. The system compares the quality inspection pass rate with the project completion rate, calculates the ratio of the two, and generates the comprehensive indicator of the quality-efficiency ratio. The quality-efficiency ratio can simultaneously reflect the performance of the laboratory in both quality control and experimental output. It intuitively shows the work output efficiency of the laboratory under the premise of ensuring quality. Compared with a single quality or output indicator, the quality-efficiency ratio provides a more comprehensive analysis of the laboratory's operating status. It provides decision-making departments with richer dimensional support for evaluating the pros and cons of different laboratories.

[0073] Step 105: Generate a quality assessment report based on the quality-efficiency ratio of each pregnancy-optimization laboratory.

[0074] Among them, the quality assessment report refers to a visual display of the laboratory quality assessment results. In the embodiment of the present application, it can be understood as a report automatically generated by the system that contains laboratory quality-efficiency ratio rankings, comparative analysis, etc., which is used to intuitively reflect the laboratory quality assessment results and facilitate decision-making departments to quickly judge the quality status of different laboratories.

[0075] Specifically, in order to display the quality assessment results, it is necessary to generate a quality assessment report based on the quality-efficiency ratio. The system has calculated the quality-efficiency ratio corresponding to each laboratory. As an important indicator for judging the quality of the laboratory, the system reads these quality-efficiency ratio data and automatically generates a quality assessment report in combination with the basic information of the laboratory. The report contains the quality-efficiency ratio values ​​of each laboratory, the quality-efficiency ratio ranking, and the comparison with the industry average. The report uses tables, charts and other forms to intuitively display the results. The quality assessment report comprehensively presents the quality analysis results of each laboratory in a concise and intuitive manner. It facilitates decision-making departments to quickly judge the quality of different laboratories. At the same time, the report results can also be provided to each laboratory so that it can clearly understand its own quality status and existing deficiencies, so as to improve quality management in a targeted manner.

[0076] Based on the above embodiment, as an optional embodiment, in step 105: generating a quality assessment report based on the quality-efficiency ratio corresponding to each pregnancy optimization laboratory, this step may also include the following steps: Step 501: Determine the quality inspection grade of each pregnancy optimization laboratory according to the preset quality-efficiency ratio grading standard and each quality-efficiency ratio.

[0077] Among them, in order to judge the quality of different laboratories, it is necessary to determine the quality inspection level based on the quality-efficiency ratio results.

[0078] The system has calculated the quality-efficiency ratio of each laboratory. The system also presets the corresponding rules between the quality-efficiency ratio and the quality inspection grade, such as a quality-efficiency ratio of 0.9-1 is mapped to grade A, 0.8-0.9 is mapped to grade B, etc. The system reads the quality-efficiency ratio data of each laboratory and matches the preset quality-efficiency ratio grading standards in turn, and can directly obtain the corresponding quality inspection grade of each laboratory. The quality inspection grade uses an intuitive ABC grade division, which can quickly determine the quality ranking of different laboratories. Compared with specific values, the grade results are more convenient for decision-makers to grasp the overall quality status.

[0079] Based on the above embodiment, as an optional embodiment, in step 501: according to the preset quality-efficiency ratio grading standard and each quality-efficiency ratio, the quality inspection level of each pregnancy-optimizing laboratory is determined. This step may also include the following steps: Step 511: Compare each quality-efficiency ratio with a plurality of quality-efficiency ratio thresholds in a preset quality-efficiency ratio grading standard, and determine the interval in which each quality-efficiency ratio is located in the preset quality-efficiency ratio grading standard. The preset quality-efficiency ratio grading standard includes intervals consisting of a plurality of different quality-efficiency ratio thresholds, and different intervals correspond to different quality inspection levels.

[0080] Among them, the preset quality-efficiency ratio grading standard refers to the preset judgment rule for the correspondence between the quality-efficiency ratio value and the corresponding quality inspection grade. In the embodiment of the present application, it can be understood as a matching rule for multiple quality-efficiency ratio value intervals and their corresponding quality inspection grades, which is used to automatically determine the quality inspection grade according to the actual quality-efficiency ratio results of the laboratory by matching them with the standard interval range.

[0081] Specifically, in order to obtain the quality inspection grade result, it is necessary to determine which interval of the preset grading standard the quality-efficiency ratio is in, so as to match the corresponding grade. The system has calculated the quality-efficiency ratio of each laboratory, such as 0.85, 0.92, etc. The system also presets a quality-efficiency ratio grading standard, which contains multiple intervals consisting of quality-efficiency ratio thresholds, and each interval corresponds to a quality inspection grade. For example, 0.9-1 maps to grade A, and 0.8-0.9 maps to grade B. The system compares the quality-efficiency ratio of each laboratory with the multiple thresholds in the preset standard one by one to determine which interval the quality-efficiency ratio is in. For example, if 0.92 is in the 0.9-1 interval, it is matched to grade A. By comparing one by one with the preset grading standards, the system can automatically determine the corresponding quality inspection grade for each laboratory.

[0082] Step 521: Determine the quality inspection level of each pregnancy laboratory based on the intervals in which they are located.

[0083] Specifically, by judging the grading standard interval in which the quality-efficiency ratio is located, the corresponding quality inspection grade can be directly matched. The system has determined which interval of the preset grading standard the quality-efficiency ratio of each laboratory belongs to, for example, 0.85 belongs to the 0.8-0.9 interval. According to the interval in which the quality-efficiency ratio is located, the system can directly determine the corresponding quality inspection grade. For example, if 0.85 is in the 0.8-0.9 interval, it is matched to Grade B. This method avoids the need to set additional corresponding rules between the quality-efficiency ratio and the grade. The system can automatically generate quality inspection grade results only by judging the belonging relationship of the interval. This way of generating quality inspection grades has a higher degree of standardization and reduces the intervention of human factors. It also makes the quality grade results more unique and accurate, which is conducive to standardized management.

[0084] Step 502: Determine the number of pregnancy optimization laboratories of each quality level and the proportion of the number of pregnancy optimization laboratories of each quality level in the total number of pregnancy optimization laboratories, and generate a quality assessment report based on the number and proportion of pregnancy optimization laboratories of each quality level.

[0085] Specifically, in order to fully reflect the distribution of laboratories of different quality levels, it is necessary to count the proportion of laboratories of each level and present it in the report. The system has obtained the quality inspection level results of each laboratory. The system counts the number of laboratories of different quality inspection levels, for example, there are 5 A-level laboratories, 8 B-level laboratories, etc. At the same time, the system calculates the proportion of the number of laboratories of each quality inspection level in all laboratories, such as 15% for A-level and 25% for B-level. The system organizes the above statistical results and the quality inspection level, and finally automatically generates a quality assessment report. The report presents the number distribution and proportion of laboratories of different quality inspection levels through intuitive charts, so that the decision-makers can quickly grasp the proportion of laboratories at each quality level. Compared with a single ranking result, this statistical analysis provides a richer decision support dimension, which is conducive to the rational planning and allocation of departmental resources.

[0086] Reference Figure 2 , is a quality management system for a laboratory for pre-pregnancy eugenics health examination provided in an embodiment of the present application, the system comprises: a data acquisition module, an evaluation value determination module, a quality-efficiency ratio determination module, and a quality assessment module, wherein: The data acquisition module is used to obtain equipment testing data, personnel training data, environmental testing data, and quality control data of multiple pregnancy laboratories within the target period; The evaluation value determination module is used to conduct quality inspection and evaluation on the equipment testing data, personnel training data, environmental testing data and quality control data of each pregnancy optimization laboratory, and obtain the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value and quality control evaluation value corresponding to the pregnancy optimization laboratory; and determine the comprehensive quality inspection evaluation value of each pregnancy optimization laboratory by combining the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value and quality control evaluation value of each pregnancy optimization laboratory; The quality-efficiency ratio determination module is used to receive the number of pregnancy optimization projects completed by each pregnancy optimization laboratory within the target period, and determine the quality-efficiency ratio corresponding to each pregnancy optimization laboratory based on the comprehensive quality inspection evaluation value and the number of pregnancy optimization projects of each pregnancy optimization laboratory; The quality assessment module is used to generate a quality assessment report based on the quality-efficiency ratio of each pregnancy laboratory.

[0087] On the basis of the above embodiment, the evaluation value determination module is also used to perform weighted calculation on the equipment calibration rate, equipment verification rate and equipment maintenance rate in the equipment detection data based on a preset data weight mapping table to obtain the equipment quality inspection evaluation value of the pregnancy optimization laboratory; based on the preset data weight mapping table, the personnel training completion rate and the personnel training assessment pass rate in the personnel training data are weightedly calculated to obtain the personnel quality inspection evaluation value of the pregnancy optimization laboratory; based on the preset data weight mapping table, the environmental temperature pass rate, humidity pass rate, hazardous waste safe disposal pass rate, sample safe storage and custody transportation pass rate, biosafety protection facilities and material equipment pass rate and material and specimen storage temperature pass rate in the environmental detection data are weightedly calculated to obtain the environmental quality inspection evaluation value of the pregnancy optimization laboratory.

[0088] On the basis of the above embodiment, the evaluation value determination module is also used to compare the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value and quality control evaluation value as evaluation indicators for each pregnancy optimization laboratory with the corresponding evaluation value thresholds, and determine the number of indicators in each evaluation indicator that exceeds the corresponding evaluation value threshold; evaluate the number of indicators based on preset evaluation rules to obtain the comprehensive quality inspection evaluation value of the pregnancy optimization laboratory; based on the preset data weight mapping table, perform weighted calculation on the indoor quality control index and the inter-laboratory quality assessment index in the quality control data to obtain the quality control evaluation value of the pregnancy optimization laboratory.

[0089] Based on the above embodiment, the evaluation value determination module is also used to calculate the average value of each evaluation indicator as the comprehensive quality inspection evaluation value if the number of indicators is four or zero; if the number of indicators is two or three, the smallest evaluation indicator among the evaluation indicators that exceed the corresponding evaluation value threshold is used as the comprehensive quality inspection evaluation value; if the number of indicators is one, the product of the evaluation indicator that exceeds the corresponding evaluation value threshold and the preset ratio is used as the comprehensive quality inspection evaluation value.

[0090] On the basis of the above embodiment, the quality-efficiency ratio determination module is also used to calculate the ratio between the comprehensive quality inspection evaluation value and the benchmark quality inspection evaluation value for each pregnancy optimization laboratory as the quality inspection pass rate, and calculate the ratio between the number of pregnancy optimization projects and the number of standard pregnancy optimization projects corresponding to the pregnancy optimization laboratory as the project completion rate; the ratio of the quality inspection pass rate to the project completion rate is used as the quality-efficiency ratio corresponding to the pregnancy optimization laboratory.

[0091] On the basis of the above embodiment, the quality assessment module is also used to determine the quality inspection level of each pregnancy test laboratory according to the preset quality-efficiency ratio grading standard and each quality-efficiency ratio; determine the number of pregnancy test laboratories of each quality level and the proportion of the number of pregnancy test laboratories of each quality level in the total number of pregnancy test laboratories, and generate a quality assessment report based on the number and proportion of pregnancy test laboratories of each quality level.

[0092] On the basis of the above embodiment, the quality assessment module is also used to compare each quality-efficiency ratio with multiple quality-efficiency ratio thresholds in the preset quality-efficiency ratio grading standard, and determine the interval in which each quality-efficiency ratio is located in the preset quality-efficiency ratio grading standard. The preset quality-efficiency ratio grading standard includes intervals composed of multiple different quality-efficiency ratio thresholds, and different intervals correspond to different quality inspection levels; based on each interval, the quality inspection level of each pregnancy optimization laboratory is determined.

[0093] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0094] The present application also discloses an electronic device. Figure 3 , Figure 3 The electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0095] The communication bus 302 is used to realize the connection and communication between these components.

[0096] The user interface 303 may include a display interface and a camera interface. Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0097] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0098] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface diagrams and applications, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0099] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally also be at least one storage device located away from the aforementioned processor 301. Refer to Figure 3 , the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module and an application program of a quality management method for a laboratory of pre-pregnancy eugenics health examination.

[0100] exist Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user to obtain the data input by the user; and the processor 301 can be used to call the application program of the quality management method of the laboratory for pre-pregnancy eugenics health examination stored in the memory 305, when executed by one or more processors 301, so that the electronic device 300 executes one or more methods in the above-mentioned embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described order of actions, because according to the present application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0101] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0102] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0103] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0104] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0105] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0106] The above are only exemplary embodiments of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0107] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not recorded in the present disclosure. The description and examples are to be regarded as exemplary only.

Claims

1. A quality management method for a laboratory for pre-pregnancy eugenics health examination, characterized in that: include: Obtain equipment testing data, personnel training data, environmental testing data, and quality control data from multiple pregnancy laboratories within the target period; For each of the pregnancy optimization laboratories, quality inspection and evaluation are performed on the equipment testing data, personnel training data, environmental testing data, and quality control data of the pregnancy optimization laboratory to obtain the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value, and quality control evaluation value corresponding to the pregnancy optimization laboratory; Determine the comprehensive quality inspection evaluation value of each pregnancy optimization laboratory by combining the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value and quality control evaluation value of each pregnancy optimization laboratory; Receive the number of pregnancy optimization projects completed by each pregnancy optimization laboratory within the target cycle, and determine the quality-efficiency ratio corresponding to each pregnancy optimization laboratory based on the comprehensive quality inspection evaluation value and the number of pregnancy optimization projects of each pregnancy optimization laboratory; A quality assessment report is generated based on the quality-efficiency ratio of each pregnancy-optimizing laboratory.

2. The quality management method for laboratories of pre-pregnancy eugenics health examination according to claim 1, characterized in that: The preset data weight mapping table includes the weight coefficients corresponding to the parameters in the equipment testing data, personnel training data, environmental testing data and quality control data of the pregnancy optimization laboratory. The equipment testing data, personnel training data, environmental testing data and quality control data of the pregnancy optimization laboratory are respectively quality inspected and evaluated to obtain the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value and quality control evaluation value corresponding to the pregnancy optimization laboratory, including: Based on a preset data weight mapping table, a weighted calculation is performed on the equipment calibration rate, equipment verification rate, and equipment maintenance rate in the equipment detection data to obtain the equipment quality inspection evaluation value of the pregnancy laboratory; Based on the preset data weight mapping table, a weighted calculation is performed on the personnel training completion rate and the personnel training assessment pass rate in the personnel training data to obtain the personnel quality inspection evaluation value of the pregnancy laboratory; Based on the preset data weight mapping table, the qualified rate of environmental temperature, qualified rate of humidity, qualified rate of safe disposal of hazardous waste, qualified rate of safe storage and custody and transportation of samples, qualified rate of biosafety protection facilities and material configuration, and qualified rate of material and specimen storage temperature in the environmental testing data are weighted and calculated to obtain the environmental quality inspection assessment value of the pregnancy laboratory; Based on the preset data weight mapping table, the indoor quality control index and the inter-laboratory quality assessment index in the quality control data are weightedly calculated to obtain the quality control evaluation value of the pregnancy laboratory.

3. The quality management method for laboratories of pre-pregnancy eugenics health examination according to claim 1, characterized in that: The comprehensive quality inspection evaluation value of each pregnancy optimization laboratory is determined by combining the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value and quality control evaluation value of each pregnancy optimization laboratory, including: For each of the pregnancy laboratories, the equipment quality inspection evaluation value, the personnel quality inspection evaluation value, the environment quality inspection evaluation value and the quality control evaluation value are respectively used as evaluation indicators and compared with the corresponding evaluation value thresholds to determine the number of indicators in each of the evaluation indicators that exceed the corresponding evaluation value threshold; The number of indicators is evaluated based on preset evaluation rules to obtain a comprehensive quality inspection evaluation value of the pregnancy laboratory.

4. The quality management method for laboratories of pre-pregnancy eugenics health examination according to claim 3, characterized in that: The indicator quantity is evaluated based on the preset evaluation rules to obtain the comprehensive quality inspection evaluation value of the pregnancy laboratory, including: If the number of the indicators is four or zero, the average value of each evaluation indicator is calculated as the comprehensive quality inspection evaluation value; If the number of the indicators is two or three, the smallest evaluation indicator among the evaluation indicators exceeding the corresponding evaluation value threshold is used as the comprehensive quality inspection evaluation value; If the number of the indicator is one, the product of the evaluation indicator exceeding the corresponding evaluation value threshold and the preset ratio is used as the comprehensive quality inspection evaluation value.

5. The quality management method for laboratories of pre-pregnancy eugenics health examination according to claim 1, characterized in that: According to the comprehensive quality inspection evaluation value and the number of pregnancy optimization projects of each pregnancy optimization laboratory, the quality-efficiency ratio corresponding to each pregnancy optimization laboratory is determined, including: For each of the pregnancy optimization laboratories, the ratio between the comprehensive quality inspection evaluation value and the benchmark quality inspection evaluation value is calculated as the quality inspection pass rate, and the ratio between the number of pregnancy optimization projects and the number of standard pregnancy optimization projects corresponding to the pregnancy optimization laboratory is calculated as the project completion rate; The ratio of the quality inspection pass rate to the project completion rate is taken as the quality-efficiency ratio of the pregnancy laboratory.

6. The quality management method for laboratories of pre-pregnancy eugenics health examination according to claim 1, characterized in that: The quality assessment report is generated based on the quality-efficiency ratio of each pregnancy laboratory, including: Determine the quality inspection grade of each pregnancy test laboratory according to the preset quality-efficiency ratio grading standard and each quality-efficiency ratio; Determine the number of pregnancy optimization laboratories of each quality level and the proportion of the number of pregnancy optimization laboratories of each quality level in the total number of pregnancy optimization laboratories, and generate a quality assessment report based on the number and proportion of pregnancy optimization laboratories of each quality level.

7. The quality management method for laboratories of pre-pregnancy eugenics health examination according to claim 6, characterized in that: Determining the quality inspection level of each pregnancy test laboratory according to the preset quality-efficiency ratio grading standard and each quality-efficiency ratio includes: Compare each of the quality-efficiency ratios with a plurality of quality-efficiency ratio thresholds in the preset quality-efficiency ratio grading standard, respectively, and determine the interval in which each of the quality-efficiency ratios is located in the preset quality-efficiency ratio grading standard, wherein the preset quality-efficiency ratio grading standard includes intervals consisting of a plurality of different quality-efficiency ratio thresholds, and different intervals correspond to different quality inspection levels; Based on the respective intervals, the quality inspection level of each pregnancy laboratory is determined.

8. A quality management system for a laboratory for pre-pregnancy eugenics health examination, characterized in that: The system comprises: The data acquisition module is used to obtain equipment testing data, personnel training data, environmental testing data, and quality control data of multiple pregnancy laboratories within the target period; An evaluation value determination module is used to perform quality inspection and evaluation on the equipment testing data, personnel training data, environmental testing data and quality control data of each of the pregnancy optimization laboratories, respectively, to obtain the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value and quality control evaluation value corresponding to the pregnancy optimization laboratory; and to determine the comprehensive quality inspection and evaluation value of each of the pregnancy optimization laboratories by combining the equipment quality inspection evaluation value, personnel quality inspection evaluation value, environmental quality inspection evaluation value and quality control evaluation value of each of the pregnancy optimization laboratories; A quality-efficiency ratio determination module is used to receive the number of pregnancy optimization projects completed by each pregnancy optimization laboratory within the target cycle, and determine the quality-efficiency ratio corresponding to each pregnancy optimization laboratory according to the comprehensive quality inspection evaluation value and the number of pregnancy optimization projects of each pregnancy optimization laboratory; The quality assessment module is used to generate a quality assessment report based on the quality-efficiency ratio corresponding to each of the pregnancy-optimizing laboratories.

9. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the laboratory quality management method for pre-pregnancy eugenics health examination as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the quality management method for the laboratory of pre-pregnancy eugenics health examination according to any one of claims 1 to 7 is executed.

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