CN107229828A - Data early warning method and device for endocrine detection and analysis - Google Patents
Data early warning method and device for endocrine detection and analysis Download PDFInfo
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- 238000012216 screening Methods 0.000 claims description 27
- VOXZDWNPVJITMN-ZBRFXRBCSA-N 17β-estradiol Chemical compound OC1=CC=C2[C@H]3CC[C@](C)([C@H](CC4)O)[C@@H]4[C@@H]3CCC2=C1 VOXZDWNPVJITMN-ZBRFXRBCSA-N 0.000 claims description 20
- 229960005309 estradiol Drugs 0.000 claims description 20
- 229930182833 estradiol Natural products 0.000 claims description 20
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Abstract
The invention discloses a data early warning method and device for endocrine detection and analysis. The data early warning method for endocrine detection and analysis comprises the following steps: receiving a data checking instruction; obtaining data to be checked of the item to be checked according to the data checking instruction; determining a standard data range according to pre-obtained reference data and a pre-set reference threshold; judging whether the data to be checked is located in the standard data range; and if the data to be checked is not located in the standard data range, generating and displaying corresponding early warning information. By adopting the invention, the efficiency and the accuracy of data checking can be improved, the real-time monitoring of the data is realized, and the correctness of the data is ensured.
Description
Technical Field
The invention relates to the field of medical detection, in particular to a data early warning method and device for endocrine detection and analysis.
Background
Nowadays, with the increase of sample detection items and the increase of sample amount, the sample turnover time can be prolonged according to the original process, but the sample turnover time is required to be shortened as much as possible in real demand, so how to classify samples orderly and reasonably and effectively optimize the laboratory detection process becomes a key for reasonable convenience of the design of a laboratory information system. The categories of the project developed in the current independent laboratory are mainly divided into: physical and chemical mass spectrometry, genome test, pathological diagnosis, biochemical luminescence test, immunological test and other comprehensive tests. Because the sample detection items are increased and the item content is updated quickly, the requirements on auditors of data related to the detection items are continuously improved. However, under the pressure of shortening the sample turnaround time, the auditor may simplify or neglect the due audit processing procedure in order to pursue the speed, which finally results in a large increase in the error rate of the audit result.
Abnormal samples include samples with abnormal experimental results, in addition to those disturbed by lipemia, hemolysis, and the like. The examination of the experimental results of these samples requires manual processing, such as centrifugal retesting, slide microscopy or clinical association. Such a sample experiment result check takes a lot of time, and thus the sending time of other reports is greatly delayed, and therefore, under the pressure of shortening the sample turnaround time, laboratory staff may neglect or simplify the required processing flow, resulting in a greatly increased risk of the result.
Disclosure of Invention
The invention provides a data early warning method and device for endocrine detection and analysis, which can improve the efficiency and accuracy of data checking, realize real-time monitoring on data and ensure the correctness of the data.
The invention provides a data early warning method for endocrine detection and analysis, which specifically comprises the following steps:
receiving a data checking instruction;
obtaining data to be checked of the item to be checked according to the data checking instruction;
determining a standard data range according to pre-obtained reference data and a pre-set reference threshold;
judging whether the data to be checked is located in the standard data range;
and if the data to be checked is not located in the standard data range, generating and displaying corresponding early warning information.
Further, the obtaining, according to the data checking instruction, data to be checked of the item to be checked specifically includes:
searching and obtaining the item to be checked according to the data checking instruction;
acquiring all historical data of the item to be checked;
obtaining a data screening condition according to the data checking instruction, and screening the historical data according to the data screening condition to obtain at least one target historical data meeting the data screening condition; the data screening conditions comprise a data numerical value range, a data generation time range and data contents;
and sequentially setting each target historical data as the data to be checked.
Further, the obtaining, according to the data checking instruction, data to be checked of the item to be checked specifically includes:
searching and obtaining the item to be checked according to the data checking instruction;
acquiring all historical data of the item to be checked, and arranging all the historical data according to the sequence of generation time;
setting each historical data as the data to be checked in sequence;
after the to-be-checked data of the to-be-checked item is obtained according to the data checking instruction, before determining a standard data range according to the pre-obtained standard data and a pre-set standard threshold, the method further includes:
setting the first N historical data of the data to be checked as the reference data; wherein N is more than or equal to 1.
Further, the determining a standard data range according to the reference data obtained in advance and the preset reference threshold specifically includes:
setting the sum of the reference data and the reference threshold as the upper range limit of the standard data range, and setting the difference between the reference data and the reference threshold as the lower range limit of the standard data range; or,
when the reference data is larger than the reference threshold, setting the reference threshold as the lower range limit of the standard data range; or,
and when the reference data is smaller than the reference threshold, setting the reference threshold as the upper range limit of the standard data range.
Further, the items to be checked are estradiol detection items; the reference threshold comprises a first threshold, a second threshold and a third threshold; the first threshold is 20%; the second threshold is 10%; the third threshold is 8%; the standard data range comprises a first standard data range, a second standard data range and a third standard data range;
determining a standard data range according to the pre-obtained reference data and a pre-set reference threshold, specifically including:
respectively calculating products of the reference data and the first threshold, the second threshold and the third threshold, and correspondingly obtaining a fourth threshold, a fifth threshold and a sixth threshold;
setting the sum of the reference data and the fourth threshold as the upper range limit of the first standard data range, and setting the difference between the reference data and the fourth threshold as the lower range limit of the first standard data range;
setting the sum of the reference data and the fifth threshold as the upper range limit of the second standard data range, and setting the difference between the reference data and the fifth threshold as the lower range limit of the second standard data range;
setting the sum of the reference data and the sixth threshold as the upper range limit of the third standard data range, and setting the difference between the reference data and the sixth threshold as the lower range limit of the third standard data range;
judging whether the data to be checked is located in the standard data range, specifically including:
judging the size of the reference data;
if the reference data is larger than 10, judging whether the data to be checked is located in the first standard data range;
if the reference data is more than or equal to 5 and less than or equal to 10, judging whether the data to be checked is located in the second standard data range;
and if the reference data is less than 5, judging whether the data to be checked is located in the third standard data range.
Further, the items to be checked are estradiol detection items; the reference threshold value is 3;
determining a standard data range according to the pre-obtained reference data and a pre-set reference threshold, specifically including:
setting the sum of the reference data and the reference threshold as the upper range limit of the standard data range, and setting the difference between the reference data and the reference threshold as the lower range limit of the standard data range;
judging whether the data to be checked is located in the standard data range, specifically including:
judging whether the reference data is larger than 2;
and if the reference data is larger than 2, judging whether the data to be checked is located in the standard data range.
Further, the items to be checked are estradiol detection items; the reference threshold value is 10;
determining a standard data range according to the pre-obtained reference data and a pre-set reference threshold, specifically including:
judging whether the reference data is larger than the reference threshold value;
if yes, setting the reference threshold as the lower limit of the standard data range;
and if not, setting the reference threshold as the upper limit of the standard data range.
Correspondingly, the invention also provides a data early warning device for endocrine detection and analysis, which specifically comprises:
the data checking instruction receiving module is used for receiving a data checking instruction;
the data to be checked obtaining module is used for obtaining the data to be checked of the item to be checked according to the data checking instruction;
the standard data range determining module is used for determining a standard data range according to pre-obtained reference data and a pre-set reference threshold;
the data checking module is used for judging whether the data to be checked is located in the standard data range; and the number of the first and second groups,
and the early warning information generation and display module is used for generating and displaying corresponding early warning information when the data to be checked is not in the standard data range.
Further, the module for obtaining data to be checked specifically includes:
a to-be-checked item obtaining unit, configured to search for and obtain the to-be-checked item according to the data checking instruction;
a historical data sequence obtaining unit, configured to obtain all historical data of the item to be checked, and arrange all the historical data according to a sequence of generation time; and the number of the first and second groups,
the data to be checked setting unit is used for sequentially setting each historical data as the data to be checked;
the data early warning apparatus for endocrine detection and analysis further includes:
the benchmark data setting module is used for setting the first N historical data of the data to be checked as the benchmark data; wherein N is more than or equal to 1.
Further, the items to be checked are estradiol detection items; the reference threshold comprises a first threshold, a second threshold and a third threshold; the first threshold is 20%; the second threshold is 10%; the third threshold is 8%; the standard data range comprises a first standard data range, a second standard data range and a third standard data range;
the standard data range determining module specifically includes:
a threshold calculation obtaining unit, configured to calculate products between the reference data and the first threshold, the second threshold, and the third threshold, respectively, and obtain a fourth threshold, a fifth threshold, and a sixth threshold in a corresponding manner;
a first standard data range setting unit configured to set a sum of the reference data and the fourth threshold as an upper range limit of the first standard data range, and set a difference between the reference data and the fourth threshold as a lower range limit of the first standard data range;
a second standard data range setting unit configured to set a sum of the reference data and the fifth threshold as an upper range limit of the second standard data range, and set a difference between the reference data and the fifth threshold as a lower range limit of the second standard data range; and the number of the first and second groups,
a third standard data range setting unit configured to set a sum of the reference data and the sixth threshold as an upper range limit of the third standard data range, and set a difference between the reference data and the sixth threshold as a lower range limit of the third standard data range.
The data checking module specifically includes:
the data size judging unit to be checked is used for judging the size of the reference data; and the number of the first and second groups,
the first data checking unit is used for judging whether the data to be checked is located in the first standard data range or not when the reference data is larger than 10; or,
the second data checking unit is used for judging whether the data to be checked is located in the second standard data range or not when the reference data is more than or equal to 5 and less than or equal to 10; or,
and the third data checking unit is used for judging whether the data to be checked is located in the third standard data range or not when the reference data is smaller than 5.
The implementation of the invention has the following beneficial effects:
according to the data early warning method and device for endocrine detection and analysis, provided by the invention, the system can automatically judge the consistency between the data to be checked and the reference data according to the reference threshold value by setting the reference threshold value, so that whether the data to be checked is normal or not is judged, and the intervention of artificial factors in the data checking process is greatly reduced or even avoided, so that the efficiency and accuracy of data checking can be improved, the real-time monitoring of the data can be realized, and the correctness of the data is ensured.
Drawings
Fig. 1 is a schematic flow chart of a preferred embodiment of a data early warning method for endocrine detection analysis provided in the present invention;
fig. 2 is a schematic structural diagram of a preferred embodiment of the data early warning apparatus for endocrine detection and analysis provided in the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention compares the data to be checked with the reference data, quantitatively judges whether the data to be checked and the reference data have consistency by setting a reference threshold value, thereby judging whether the data to be checked is normal, and generates and displays corresponding early warning information when judging that the data to be checked is abnormal. According to the invention, the consistency between the data to be checked and the reference data can be automatically judged according to the preset reference threshold value, so that whether the data to be checked is normal or not can be judged, and the intervention of human factors can be reduced or even avoided, therefore, the efficiency and the accuracy of data checking can be improved, the real-time monitoring on the data can be realized, and the correctness of the data can be ensured.
As shown in fig. 1, a schematic flow chart of a preferred embodiment of the data early warning method for endocrine detection and analysis provided in the present invention includes steps S11 to S15, which are specifically as follows:
s11: receiving a data checking instruction;
s12: obtaining data to be checked of the item to be checked according to the data checking instruction;
s13: determining a standard data range according to pre-obtained reference data and a pre-set reference threshold;
s14: judging whether the data to be checked is located in the standard data range;
s15: and if the data to be checked is not located in the standard data range, generating and displaying corresponding early warning information.
Before checking the data, the checker needs to set a reference threshold in the system, as a criterion for determining consistency between the data to be checked and the reference data. It is to be understood that the number of the reference thresholds to be set may be one or more. Meanwhile, the checker needs to set items to be checked in the system.
After the system is set, the checker sends a data checking instruction to the system to trigger a data checking process of the system. After receiving a data checking instruction sent by a checking person, the system acquires the data to be checked of the item to be checked according to the preset setting. And then, the system compares the data to be checked with the pre-acquired reference data, and judges whether the data to be checked is consistent with the reference data or not by means of the reference threshold. Specifically, the system calculates a standard data range according to the reference data and the reference threshold, and determines whether the data to be checked is located in the standard data range. If the data to be checked is in the standard data range, the data to be checked is considered to be consistent with the reference data, and the data to be checked is normal, so that the data to be checked is not processed; if the data to be checked is not in the standard data range, the data to be checked is considered to be inconsistent with the reference data, and the data to be checked is abnormal, so that corresponding early warning information is generated, and the early warning information is displayed in a human-computer interaction device (such as a display screen) so that a checker can perform corresponding processing on the data to be checked according to the early warning information.
According to the embodiment of the invention, the reference threshold value is set in the system, so that the system can automatically judge the consistency between the data to be checked and the reference data according to the reference threshold value, thereby judging whether the data to be checked is normal or not, and greatly reducing or even avoiding the intervention of artificial factors in the data checking process, so that the efficiency and the accuracy of data checking can be improved, further the real-time monitoring on the data can be realized, and the correctness of the data can be ensured.
More preferably, the obtaining, according to the data checking instruction, data to be checked of the item to be checked specifically includes:
searching and obtaining the item to be checked according to the data checking instruction;
acquiring all historical data of the item to be checked;
obtaining a data screening condition according to the data checking instruction, and screening the historical data according to the data screening condition to obtain at least one target historical data meeting the data screening condition; the data screening conditions comprise a data numerical value range, a data generation time range and data contents;
and sequentially setting each target historical data as the data to be checked.
It should be noted that the system stores several historical data of items to be checked. After receiving a data checking instruction sent by a user, the system acquires all historical data of items to be checked in the system and screens the historical data. Specifically, the system obtains corresponding data screening conditions (including a data numerical range, a data generation time range, data contents and the like of each data in the item to be checked) according to the received data checking instruction, screens out historical data meeting the data screening conditions from all the obtained historical data, and takes the historical data meeting the data screening conditions as target historical data. And finally, setting one of the target historical data as to-be-checked data according to the control of a checker or a preset control logic, checking the to-be-checked data, and finishing data checking on other target historical data by adopting the same method.
For example, assuming that the item to be checked is A, the historical data a1, a2, a3, a4 and a5 of the previous 5 days of the item A to be checked are stored in the system. After receiving the data checking instruction, the system acquires all the historical data a1, a2, a3, a4 and a5 of the item A to be checked, and screens the historical data according to the data screening conditions. Assuming that the history data a2, a3 and a5 are history data that meet the data filtering condition, the history data a2, a3 and a5 are all set as target history data. Then, according to a certain preset control logic, the system firstly sets the target historical data a2 as data to be checked, performs data check on the data a2 to be checked, then sets the target historical data a3 as data to be checked, performs data check on the data a3 to be checked, and finally sets the target historical data a5 as data to be checked, and performs data check on the data a5 to be checked.
For another example, when the embodiment of the present invention is applied to the medical industry, the data screening conditions may include the name/number of a hospital for examination, the age of a patient, the sex of the patient, the number of hospital for admission, and the like, in addition to the data value range, the data generation time range, and the data content.
For another example, when the embodiment of the present invention is applied to the medical industry, the items to be checked made by a certain patient may be checked. When checking a to-be-checked item made by a certain patient, after receiving a data checking instruction, searching a patient information database in the system, screening out information data of all patients who are the same name, the same sex and the same age as the to-be-checked patient and are in the same hospital from the information database, regarding the information data as the information data of the to-be-checked patient, and acquiring all data related to the to-be-checked item in the information data, namely acquiring all historical data of the to-be-checked item made by the to-be-checked patient. After all the historical data of the item to be checked made by the patient to be checked are obtained, all the data generated up to now in the previous M (M is larger than or equal to 1) days can be screened out as target historical data according to the setting in the data checking instruction, the target historical data are sequentially set as data to be checked, and the data to be checked are checked respectively.
More preferably, the determining a standard data range according to the reference data obtained in advance and a preset reference threshold specifically includes:
setting the sum of the reference data and the reference threshold as the upper range limit of the standard data range, and setting the difference between the reference data and the reference threshold as the lower range limit of the standard data range; or,
when the reference data is larger than the reference threshold, setting the reference threshold as the lower range limit of the standard data range; or,
and when the reference data is smaller than the reference threshold, setting the reference threshold as the upper range limit of the standard data range.
It should be noted that the setting manner of the standard data range includes, but is not limited to, the above three manners.
In another more preferred embodiment, on the basis of the above embodiment, the obtaining, according to the data checking instruction, data to be checked of an item to be checked specifically includes:
searching and obtaining the item to be checked according to the data checking instruction;
acquiring all historical data of the item to be checked, and arranging all the historical data according to the sequence of generation time;
setting each historical data as the data to be checked in sequence;
after the to-be-checked data of the to-be-checked item is obtained according to the data checking instruction, before determining a standard data range according to the pre-obtained standard data and a pre-set standard threshold, the method further includes:
setting the first N historical data of the data to be checked as the reference data; wherein N is more than or equal to 1.
It should be noted that the system stores several historical data of items to be checked. After receiving a data checking instruction sent by a user, the system acquires all historical data of items to be checked in the system and arranges the historical data according to the sequence of generation time. And then, according to the control of an inspector or a preset control logic, setting one historical data in the historical data as to-be-inspected data, setting the first N (N is more than or equal to 1) historical data of the to-be-inspected data as reference data, judging whether the to-be-inspected data is normal or not by judging whether the to-be-inspected data is consistent with the reference data or not, and finishing the data inspection of other historical data by adopting the same method.
For example, assuming that the item to be checked is a, N is 1, the system stores history data a1, a2 and a3 of the previous 3 days of the item to be checked a, and the generation time sequence of the history data is a1> a2> a 3. After receiving a data checking instruction sent by a user, the system acquires all historical data a1, a2 and a3 of the item A to be checked, sorts the historical data and obtains a1> a2> a3 sequence. Then, according to a certain control logic which is set in advance, the system firstly sets the historical data a2 as data to be checked, sets the historical data a1 as reference data, judges the consistency of the data a2 to be checked and the reference data a1 so as to check the data a2 to be checked, then sets the historical data a3 as data to be checked, sets the historical data a2 as reference data, and judges the consistency of the data a3 to be checked and the reference data a2 so as to check the data a3 to be checked.
In the embodiment, the historical data of the item to be checked is used as the reference data, so that the degree of contact between the reference for data checking and the item to be checked is high, and the accuracy of data checking is further improved.
In a further more preferred embodiment, based on the above embodiments, the items to be checked are estradiol detection items; the reference threshold comprises a first threshold, a second threshold and a third threshold; the first threshold is 20%; the second threshold is 10%; the third threshold is 8%; the standard data range comprises a first standard data range, a second standard data range and a third standard data range;
determining a standard data range according to the pre-obtained reference data and a pre-set reference threshold, specifically including:
respectively calculating products of the reference data and the first threshold, the second threshold and the third threshold, and correspondingly obtaining a fourth threshold, a fifth threshold and a sixth threshold;
setting the sum of the reference data and the fourth threshold as the upper range limit of the first standard data range, and setting the difference between the reference data and the fourth threshold as the lower range limit of the first standard data range;
setting the sum of the reference data and the fifth threshold as the upper range limit of the second standard data range, and setting the difference between the reference data and the fifth threshold as the lower range limit of the second standard data range;
setting the sum of the reference data and the sixth threshold as the upper range limit of the third standard data range, and setting the difference between the reference data and the sixth threshold as the lower range limit of the third standard data range;
judging whether the data to be checked is located in the standard data range, specifically including:
judging the size of the reference data;
if the reference data is larger than 10, judging whether the data to be checked is located in the first standard data range;
if the reference data is more than or equal to 5 and less than or equal to 10, judging whether the data to be checked is located in the second standard data range;
and if the reference data is less than 5, judging whether the data to be checked is located in the third standard data range.
It should be noted that the embodiment of the present invention may be applied to check the detection result of estradiol, where the items to be detected are estradiol detection items. In a typical case, the benchmark thresholds set in the system by the checker are 20%, 10%, and 8%, respectively. When the system checks data to be checked, firstly, judging the size of the data to be checked, judging the size relationship between the data to be checked and 10 and 5, requiring that the absolute value of the difference between the data to be checked and the reference data is not more than 20% of the reference data for the data to be checked which is more than 10, requiring that the absolute value of the difference between the data to be checked and the reference data is not more than 10% of the reference data for the data to be checked which is more than 5 and less than 10, and requiring that the absolute value of the difference between the data to be checked and the reference data is not more than 8% of the reference data for the data to be checked which is less than 5, otherwise, considering that the data to be checked is abnormal, and generating corresponding early warning information.
In a further more preferred embodiment, based on the above embodiments, the items to be checked are estradiol detection items; the reference threshold value is 3;
determining a standard data range according to the pre-obtained reference data and a pre-set reference threshold, specifically including:
setting the sum of the reference data and the reference threshold as the upper range limit of the standard data range, and setting the difference between the reference data and the reference threshold as the lower range limit of the standard data range;
judging whether the data to be checked is located in the standard data range, specifically including:
judging whether the reference data is larger than 2;
and if the reference data is larger than 2, judging whether the data to be checked is located in the standard data range.
It should be noted that the embodiment of the present invention may also be applied to check the detection result of estradiol, where the items to be detected are estradiol detection items. In a normal case, the benchmark threshold set in the system by the checker is 3. When the system checks the data to be checked, firstly comparing the data to be checked with 2, and requiring that the absolute value of the difference between the data to be checked and the reference data does not exceed the reference threshold value, namely does not exceed 3, for the data to be checked which is larger than 2, otherwise, considering that the data to be checked is abnormal, and generating corresponding early warning information; and regarding the data to be checked which is less than or equal to 2, regarding the data to be checked as normal, and not performing further checking or processing on the data to be checked.
In a further more preferred embodiment, based on the above embodiments, the items to be checked are estradiol detection items; the reference threshold value is 10;
determining a standard data range according to the pre-obtained reference data and a pre-set reference threshold, specifically including:
judging whether the reference data is larger than the reference threshold value;
if yes, setting the reference threshold as the lower limit of the standard data range;
and if not, setting the reference threshold as the upper limit of the standard data range.
It should be noted that the embodiment of the present invention may also be applied to check the detection result of estradiol, where the items to be detected are estradiol detection items. In a typical case, the benchmark threshold set in the system by the checker is 10. When the system checks the data to be checked, the data to be checked and the reference data are compared with the reference threshold value respectively, if the data to be checked and the reference data are both greater than 10, or the data to be checked and the reference data are both less than 10, the data to be checked is considered to be normal; and if the data to be checked is larger than 10 and the reference data is smaller than 10, or if the data to be checked is smaller than 10 and the reference data is larger than 10, considering that the data to be checked is abnormal, and generating corresponding early warning information.
According to the data early warning method for endocrine detection and analysis provided by the embodiment of the invention, the system can automatically judge the consistency between the data to be checked and the reference data according to the reference threshold value by setting the reference threshold value in the system, so that whether the data to be checked is normal or not is judged, and the intervention of artificial factors in the data checking process is greatly reduced or even avoided, so that the efficiency and the accuracy of data checking can be improved, the real-time monitoring on the data can be realized, and the correctness of the data is ensured. In some embodiments, historical data of the item to be checked can be used as reference data, so that the degree of contact between the reference for data checking and the item to be checked is high, and the accuracy of data checking is further improved.
Correspondingly, the invention also provides a data early warning device for endocrine detection and analysis, which can realize all the processes of the data early warning method for endocrine detection and analysis.
As shown in fig. 2, a schematic structural diagram of a preferred embodiment of the data early warning apparatus for endocrine detection and analysis provided in the present invention is specifically as follows:
a data checking instruction receiving module 21, configured to receive a data checking instruction;
a to-be-checked data obtaining module 22, configured to obtain to-be-checked data of the to-be-checked item according to the data checking instruction;
a standard data range determining module 23, configured to determine a standard data range according to reference data obtained in advance and a preset reference threshold;
the data checking module 24 is configured to determine whether the data to be checked is located within the standard data range; and the number of the first and second groups,
and the early warning information generating and displaying module 25 is configured to generate and display corresponding early warning information when the data to be checked is not within the standard data range.
More preferably, the module for obtaining data to be checked specifically includes:
a to-be-checked item obtaining unit, configured to search for and obtain the to-be-checked item according to the data checking instruction;
the historical data acquisition unit is used for acquiring all historical data of the item to be checked;
the data screening unit is used for obtaining data screening conditions according to the data checking instructions and screening the historical data according to the data screening conditions to obtain at least one target historical data meeting the data screening conditions; the data screening conditions comprise a data numerical value range, a data generation time range and data contents; and the number of the first and second groups,
and the data to be checked setting unit is used for sequentially setting each target historical data as the data to be checked.
More preferably, the standard data range determining module specifically includes:
a first standard data range setting unit configured to set a sum of the reference data and the reference threshold as an upper range limit of the standard data range, and set a difference between the reference data and the reference threshold as a lower range limit of the standard data range; or,
a second standard data range setting unit configured to set the reference threshold as a lower range limit of the standard data range when the reference data is larger than the reference threshold; or,
a third standard data range setting unit configured to set the reference threshold as an upper range limit of the standard data range when the reference data is smaller than the reference threshold.
In another more preferred embodiment, based on the above embodiment, the module for obtaining data to be checked specifically includes:
a to-be-checked item obtaining unit, configured to search for and obtain the to-be-checked item according to the data checking instruction;
a historical data sequence obtaining unit, configured to obtain all historical data of the item to be checked, and arrange all the historical data according to a sequence of generation time; and the number of the first and second groups,
the data to be checked setting unit is used for sequentially setting each historical data as the data to be checked;
the data early warning apparatus for endocrine detection and analysis further includes:
the benchmark data setting module is used for setting the first N historical data of the data to be checked as the benchmark data; wherein N is more than or equal to 1.
In a further more preferred embodiment, based on the above embodiments, the items to be checked are estradiol detection items; the reference threshold comprises a first threshold, a second threshold and a third threshold; the first threshold is 20%; the second threshold is 10%; the third threshold is 8%; the standard data range comprises a first standard data range, a second standard data range and a third standard data range;
the standard data range determining module specifically includes:
a threshold calculation obtaining unit, configured to calculate products between the reference data and the first threshold, the second threshold, and the third threshold, respectively, and obtain a fourth threshold, a fifth threshold, and a sixth threshold in a corresponding manner;
a first standard data range setting unit configured to set a sum of the reference data and the fourth threshold as an upper range limit of the first standard data range, and set a difference between the reference data and the fourth threshold as a lower range limit of the first standard data range;
a second standard data range setting unit configured to set a sum of the reference data and the fifth threshold as an upper range limit of the second standard data range, and set a difference between the reference data and the fifth threshold as a lower range limit of the second standard data range; and the number of the first and second groups,
a third standard data range setting unit configured to set a sum of the reference data and the sixth threshold as an upper range limit of the third standard data range, and set a difference between the reference data and the sixth threshold as a lower range limit of the third standard data range.
The data checking module specifically includes:
the data size judging unit to be checked is used for judging the size of the reference data; and the number of the first and second groups,
the first data checking unit is used for judging whether the data to be checked is located in the first standard data range or not when the reference data is larger than 10; or,
the second data checking unit is used for judging whether the data to be checked is located in the second standard data range or not when the reference data is more than or equal to 5 and less than or equal to 10; or,
and the third data checking unit is used for judging whether the data to be checked is located in the third standard data range or not when the reference data is smaller than 5.
In a further more preferred embodiment, based on the above embodiments, the items to be checked are estradiol detection items; the reference threshold value is 3;
the standard data range determining module specifically includes:
a standard data range upper and lower limit setting unit configured to set a sum of the reference data and the reference threshold as a range upper limit of the standard data range, and set a difference between the reference data and the reference threshold as a range lower limit of the standard data range;
the data checking module specifically includes:
a reference data size judgment unit configured to judge whether the reference data is greater than 2; and the number of the first and second groups,
and the data checking unit is used for judging whether the data to be checked is located in the standard data range or not when the reference data is larger than 2.
In a further more preferred embodiment, based on the above embodiments, the items to be checked are estradiol detection items; the reference threshold value is 10;
the standard data range determining module specifically includes:
a reference data size determination unit configured to determine whether the reference data is larger than the reference threshold;
a standard data range upper limit setting unit configured to set the reference threshold as a range lower limit of the standard data range when the reference data is larger than the reference threshold;
a standard data range lower limit setting unit configured to set the reference threshold as a range upper limit of the standard data range when the reference data is not greater than the reference threshold.
According to the data early warning device for endocrine detection and analysis provided by the embodiment of the invention, the system can automatically judge the consistency between the data to be checked and the reference data according to the reference threshold value by setting the reference threshold value in the system, so that whether the data to be checked is normal or not is judged, and the intervention of artificial factors in the data checking process is greatly reduced or even avoided, so that the efficiency and the accuracy of data checking can be improved, the real-time monitoring on the data can be realized, and the correctness of the data is ensured. In some embodiments, historical data of the item to be checked can be used as reference data, so that the degree of contact between the reference for data checking and the item to be checked is high, and the accuracy of data checking is further improved.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A data early warning method for endocrine detection and analysis is characterized by comprising the following steps:
receiving a data checking instruction;
obtaining data to be checked of the item to be checked according to the data checking instruction;
determining a standard data range according to pre-obtained reference data and a pre-set reference threshold;
judging whether the data to be checked is located in the standard data range;
and if the data to be checked is not located in the standard data range, generating and displaying corresponding early warning information.
2. The data early warning method for endocrine detection and analysis according to claim 1, wherein the obtaining of the data to be checked of the item to be checked according to the data checking instruction specifically comprises:
searching and obtaining the item to be checked according to the data checking instruction;
acquiring all historical data of the item to be checked;
obtaining a data screening condition according to the data checking instruction, and screening the historical data according to the data screening condition to obtain at least one target historical data meeting the data screening condition; the data screening conditions comprise a data numerical value range, a data generation time range and data contents;
and sequentially setting each target historical data as the data to be checked.
3. The data early warning method for endocrine detection and analysis according to claim 1, wherein the obtaining of the data to be checked of the item to be checked according to the data checking instruction specifically comprises:
searching and obtaining the item to be checked according to the data checking instruction;
acquiring all historical data of the item to be checked, and arranging all the historical data according to the sequence of generation time;
setting each historical data as the data to be checked in sequence;
after the to-be-checked data of the to-be-checked item is obtained according to the data checking instruction, before determining a standard data range according to the pre-obtained standard data and a pre-set standard threshold, the method further includes:
setting the first N historical data of the data to be checked as the reference data; wherein N is more than or equal to 1.
4. The data early warning method for endocrine detection and analysis according to claim 1, wherein the determining a standard data range according to pre-obtained reference data and a pre-set reference threshold specifically comprises:
setting the sum of the reference data and the reference threshold as the upper range limit of the standard data range, and setting the difference between the reference data and the reference threshold as the lower range limit of the standard data range; or,
when the reference data is larger than the reference threshold, setting the reference threshold as the lower range limit of the standard data range; or,
and when the reference data is smaller than the reference threshold, setting the reference threshold as the upper range limit of the standard data range.
5. The data pre-warning method for endocrine inspection analysis according to claim 1, wherein the item to be checked is an estradiol inspection item; the reference threshold comprises a first threshold, a second threshold and a third threshold; the first threshold is 20%; the second threshold is 10%; the third threshold is 8%; the standard data range comprises a first standard data range, a second standard data range and a third standard data range;
determining a standard data range according to the pre-obtained reference data and a pre-set reference threshold, specifically including:
respectively calculating products of the reference data and the first threshold, the second threshold and the third threshold, and correspondingly obtaining a fourth threshold, a fifth threshold and a sixth threshold;
setting the sum of the reference data and the fourth threshold as the upper range limit of the first standard data range, and setting the difference between the reference data and the fourth threshold as the lower range limit of the first standard data range;
setting the sum of the reference data and the fifth threshold as the upper range limit of the second standard data range, and setting the difference between the reference data and the fifth threshold as the lower range limit of the second standard data range;
setting the sum of the reference data and the sixth threshold as the upper range limit of the third standard data range, and setting the difference between the reference data and the sixth threshold as the lower range limit of the third standard data range;
judging whether the data to be checked is located in the standard data range, specifically including:
judging the size of the reference data;
if the reference data is larger than 10, judging whether the data to be checked is located in the first standard data range;
if the reference data is more than or equal to 5 and less than or equal to 10, judging whether the data to be checked is located in the second standard data range;
and if the reference data is less than 5, judging whether the data to be checked is located in the third standard data range.
6. The data pre-warning method for endocrine inspection analysis according to claim 1, wherein the item to be checked is an estradiol inspection item; the reference threshold value is 3;
determining a standard data range according to the pre-obtained reference data and a pre-set reference threshold, specifically including:
setting the sum of the reference data and the reference threshold as the upper range limit of the standard data range, and setting the difference between the reference data and the reference threshold as the lower range limit of the standard data range;
judging whether the data to be checked is located in the standard data range, specifically including:
judging whether the reference data is larger than 2;
and if the reference data is larger than 2, judging whether the data to be checked is located in the standard data range.
7. The data pre-warning method for endocrine inspection analysis according to claim 1, wherein the item to be checked is an estradiol inspection item; the reference threshold value is 10;
determining a standard data range according to the pre-obtained reference data and a pre-set reference threshold, specifically including:
judging whether the reference data is larger than the reference threshold value;
if yes, setting the reference threshold as the lower limit of the standard data range;
and if not, setting the reference threshold as the upper limit of the standard data range.
8. A data early warning device for endocrine detection and analysis, comprising:
the data checking instruction receiving module is used for receiving a data checking instruction;
the data to be checked obtaining module is used for obtaining the data to be checked of the item to be checked according to the data checking instruction;
the standard data range determining module is used for determining a standard data range according to pre-obtained reference data and a pre-set reference threshold;
the data checking module is used for judging whether the data to be checked is located in the standard data range; and the number of the first and second groups,
and the early warning information generation and display module is used for generating and displaying corresponding early warning information when the data to be checked is not in the standard data range.
9. The data pre-warning device for endocrine detection and analysis according to claim 8, wherein the module for obtaining the data to be checked specifically comprises:
a to-be-checked item obtaining unit, configured to search for and obtain the to-be-checked item according to the data checking instruction;
a historical data sequence obtaining unit, configured to obtain all historical data of the item to be checked, and arrange all the historical data according to a sequence of generation time; and the number of the first and second groups,
the data to be checked setting unit is used for sequentially setting each historical data as the data to be checked;
the data early warning apparatus for endocrine detection and analysis further includes:
the benchmark data setting module is used for setting the first N historical data of the data to be checked as the benchmark data; wherein N is more than or equal to 1.
10. The data pre-warning apparatus for endocrine inspection analysis according to claim 8, wherein the items to be checked are estradiol detection items; the reference threshold comprises a first threshold, a second threshold and a third threshold; the first threshold is 20%; the second threshold is 10%; the third threshold is 8%; the standard data range comprises a first standard data range, a second standard data range and a third standard data range;
the standard data range determining module specifically includes:
a threshold calculation obtaining unit, configured to calculate products between the reference data and the first threshold, the second threshold, and the third threshold, respectively, and obtain a fourth threshold, a fifth threshold, and a sixth threshold in a corresponding manner;
a first standard data range setting unit configured to set a sum of the reference data and the fourth threshold as an upper range limit of the first standard data range, and set a difference between the reference data and the fourth threshold as a lower range limit of the first standard data range;
a second standard data range setting unit configured to set a sum of the reference data and the fifth threshold as an upper range limit of the second standard data range, and set a difference between the reference data and the fifth threshold as a lower range limit of the second standard data range; and the number of the first and second groups,
a third standard data range setting unit configured to set a sum of the reference data and the sixth threshold as an upper range limit of the third standard data range, and set a difference between the reference data and the sixth threshold as a lower range limit of the third standard data range.
The data checking module specifically includes:
the data size judging unit to be checked is used for judging the size of the reference data; and the number of the first and second groups,
the first data checking unit is used for judging whether the data to be checked is located in the first standard data range or not when the reference data is larger than 10; or,
the second data checking unit is used for judging whether the data to be checked is located in the second standard data range or not when the reference data is more than or equal to 5 and less than or equal to 10; or,
and the third data checking unit is used for judging whether the data to be checked is located in the third standard data range or not when the reference data is smaller than 5.
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