CN112768062A - Method, system and storage medium for improving medical numerical data correction efficiency - Google Patents
Method, system and storage medium for improving medical numerical data correction efficiency Download PDFInfo
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Abstract
The invention discloses a method, a system and a storage medium for improving the correction efficiency of medical numerical data, wherein the method comprises the following steps: extracting numerical data of numerical indicators to be analyzed from medical data of a plurality of institutions; calculating the statistic of the index in the overall data and the mechanism to be analyzed; the statistics include mean, median range, and standard deviation; calculating a difference ratio of each statistic of the organization to the overall data; setting a plurality of difference ratio thresholds, and comparing the difference ratio of each statistic of the organization with each difference ratio threshold; each time the difference ratio of one statistic exceeds one of the difference ratio thresholds, the mechanism accumulates 1 ticket; calculating the total ticket number of the mechanism under the index; and judging whether the data is abnormal or not according to the total ticket number and correcting the abnormal data. The invention solves the problem of uniform quality control of health medical data standards, helps to find out abnormal data and correct the abnormal data, reduces the cost of data management and improves the efficiency of data management.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a method, a system and a storage medium for improving the correction efficiency of medical numerical data.
Background
In recent years, the speed of medical and health informatization construction is continuously accelerated, medical data is rapidly increased, the trend of data opening and sharing is remarkable, and new challenges and opportunities are faced for data management and application. The medical data of the medical institution inevitably has the problems of data loss, data error, inconsistent data standards of multiple institutions and the like. The data management is an effective method for controlling the quality of data and improving the application capacity of the data in the medical industry. The data volume of the health medical data is huge, and a large amount of financial resources, time and manpower can be consumed for manually checking, correcting and standardizing the data one by one, and the accuracy of the result cannot be guaranteed. This greatly increases the cost of data governance and data application.
Disclosure of Invention
The invention aims to provide a method, a system and a storage medium for improving the correction efficiency of medical numerical data, which are used for carrying out statistical analysis on numerical variable data in medical data, finding out abnormal data and carrying out data correction, reducing the data management cost and improving the data management efficiency.
The invention provides a method for improving the correction efficiency of medical numerical data, which comprises the following steps:
extracting numerical data of a numerical index to be analyzed from medical data of a plurality of medical institutions;
calculating the statistic of the index in the overall data and the statistic of the index in the mechanism to be analyzed; the statistics comprise a mean value, a median, a standard deviation, a first quartile and a second quartile;
calculating the difference ratio of each statistic of the organization to the statistic of the same type in the overall data;
setting a plurality of difference ratio thresholds, and comparing the difference ratio of each statistic of the organization with each difference ratio threshold; each time the difference ratio of one statistic exceeds one of the difference ratio thresholds, the mechanism accumulates 1 ticket;
calculating the total ticket number of the mechanism under the index; and judging whether the numerical data of the numerical index is abnormal or not according to the total ticket number, and correcting the abnormal data.
Further, before calculating the total number of tickets, carrying out normal test on the total data of the index, and judging whether the total data of the index conforms to normal distribution;
if yes, performing T test on the data in the mechanism and the overall data under the index to obtain a first P value; if not, carrying out nonparametric inspection to obtain a second P value;
judging whether the obtained P value is smaller than a preset threshold value or not; if so, the facility accumulates 1 ticket.
Further, the total ticket number of each organization under the index is calculated.
Further, finally, the data and the overall data of each mechanism under the index are visualized by using a method of a box line diagram or a density diagram, and abnormal data are searched for in an auxiliary mode.
Further, the calculation formula of the difference ratio K of the statistics is as follows:
K＝|tmp-All|/All
where tmp denotes the statistic of the index in the institution and All denotes the statistic of the index in the overall data.
Further, numerical data of a numerical index to be analyzed is extracted in parallel from medical data of a plurality of institutions, and a statistic of the index in the overall data and a statistic of the index in the institution to be analyzed are calculated in parallel.
The present invention also provides a system for improving the medical numerical data correction efficiency, which is used for implementing the method for improving the medical numerical data correction efficiency, and the system comprises:
the data extraction module is used for extracting numerical data of the numerical type indexes to be analyzed from the medical data of a plurality of medical institutions;
the statistic module is used for calculating the statistic of the index in the overall data and the statistic of the index in the mechanism to be analyzed; the statistics comprise a mean value, a median, a standard deviation, a first quartile and a second quartile;
the difference ratio module is used for calculating the difference ratio of each statistic of the organization to the statistic of the same type in the overall data;
a first voting module for setting a plurality of difference ratio thresholds, comparing the difference ratio of each statistic of the organization with each difference ratio threshold; each time the difference ratio of one statistic exceeds one of the difference ratio thresholds, the mechanism accumulates 1 ticket;
the ticket counting and correcting module is used for calculating the total number of tickets of the mechanism under the index; and judging whether the numerical data of the numerical index is abnormal or not according to the total ticket number, and correcting the abnormal data.
Further, the system further comprises: the second voting module is used for carrying out normal test on the overall data of the index and judging whether the overall data of the index conforms to normal distribution;
if yes, performing T test on the data in the mechanism and the overall data under the index to obtain a first P value; if not, carrying out nonparametric inspection to obtain a second P value;
judging whether the obtained P value is smaller than a preset threshold value or not; if so, the facility accumulates 1 ticket.
The present invention also provides a computer storage medium characterized by: stored therein is a computer program executable by a computer processor for performing the above-described method for improving the efficiency of correcting medical numerical data.
The invention has the beneficial effects that: the method, the system and the storage medium for improving the medical numerical data correction efficiency solve the problem of uniform quality control of the health medical data standard, and fill the blank of numerical system error detection in the field of data management; the method can detect potential data quality problems in the numerical data merging process, help to find out abnormal data and correct the abnormal data, reduce the data management cost and improve the data management efficiency.
Furthermore, a plurality of difference ratio thresholds are set, so that the accuracy is improved; and calculating the total ticket number of each mechanism under the index, and quickly searching for the mechanism with abnormal data by comparing the total ticket number of each mechanism.
Furthermore, a visual analysis result is provided, abnormal data are searched in an auxiliary mode, the voting number is combined with a visual result, the searching accuracy is improved, and meanwhile problem data can be confirmed quickly and visually.
Drawings
Fig. 1 is a flowchart of a method for improving the efficiency of medical numerical data correction according to the present invention.
FIG. 2 is a schematic diagram of the difference ratio voting of the present invention.
Fig. 3 is a schematic view of the visualization result of the present invention.
FIG. 4 is a diagram illustrating a system for improving the efficiency of medical numerical data correction according to the present invention.
Detailed Description
The invention will be further described with reference to the accompanying drawings in which:
the invention solves the problem of uniform quality control of health medical data standards and fills the blank of numerical system error detection in the field of data management. The method can intelligently detect the potential data quality problem in the numerical data merging process, provide a visual analysis result, quickly confirm problem data and effectively improve the efficiency and accuracy of health and medical data treatment.
The method for improving the medical numerical data correction efficiency of the embodiment of the invention, as shown in fig. 1, includes the following steps:
s1, extracting numerical data of the numerical index to be analyzed from the medical data of the plurality of medical institutions.
Cutting the acquired health medical data into a plurality of small data sets, and capturing index column names containing 'XX _ measurement' in the column names in parallel from each table in a regular matching mode, such as: the diastolic blood pressure measurement, the systolic blood pressure measurement and the like, and the specific numerical value and the number of the XX measurement from which mechanism are obtained are counted, and the information is used as retrieval information for subsequent source tracing.
S2, calculating the statistic of the index in the overall data and the statistic of the index in the mechanism to be analyzed; the statistics include a mean, a median, a standard deviation, a first quartile, and a second quartile.
And (3) carrying out statistical analysis on the data of the index: 1. and calculating the mean value All _ mean, the median All _ mean, the standard deviation All _ sd, the first quartile All _1st _ Qu, the third quartile All _3rd _ Qu and the like of the index in the overall data. 2. And calculating the mean value tmp _ mean, the median tmp _ mean, the standard deviation tmp _ sd, the first quartile tmp _1st _ Qu, the third quartile tmp _3rd _ Qu and the like of the index in each mechanism by taking each mechanism as a unit. The statistic of the index in the overall data and the statistic of the index in the mechanism to be analyzed can be calculated simultaneously in parallel, so that the time is saved.
And S3, calculating the difference ratio of each statistic of the organization to the statistic of the same type in the overall data.
The calculation formula of the difference ratio K of the statistics is as follows:
K＝|tmp-All|/All
where tmp denotes the statistic of the index in the institution and All denotes the statistic of the index in the overall data.
Taking the mean value as an example, the difference ratio calculation formula is: i tmp mean-All mean i/All mean. This allows to calculate the respective statistics: the mean, the median, the standard deviation, and the difference ratio of the first quartile to the second quartile, the calculation of the difference ratio may be performed in parallel.
S4, setting a plurality of difference ratio thresholds, and comparing the difference ratio of each statistic of the mechanism with each difference ratio threshold; the facility accumulates 1 ticket each time the variance ratio of one statistic exceeds one of the variance ratio thresholds. If not, add 0 ticket.
As shown in fig. 2, a plurality of difference ratio thresholds may also be set, such as: 5%, 10%, 15%, 20%, etc., and then comparing the variance ratio of the various statistics of the organization to each variance ratio threshold; the facility accumulates 1 ticket each time the variance ratio of one statistic exceeds one of the variance ratio thresholds. The result of counting tickets is more reliable by a plurality of differences than the threshold value, and if the difference ratio of the mean value is 12%, the mean value is recorded with 2 tickets, and the number of tickets reflects the difference degree of the data. The difference ratio judgment process of each statistic can be carried out simultaneously, and finally the ticket counting numbers of each statistic are added.
S6, calculating the total ticket number of the organization under the index; and the higher the ticket number is, the higher the data error probability is, so that whether the numerical data of the numerical index is abnormal or not is judged according to the total ticket number, and the abnormal data is subjected to data correction.
Since the error data is generally a small number, the data of each mechanism can be compared with the overall data, and it is possible to find out which mechanism has abnormal data. However, there is an exception, such as a certain organization has more data, and the data of the organization is abnormal. In this case, an error may occur in the mechanism of the data abnormality found by this method.
Further, in order to improve the accuracy of the mechanism for searching for data anomalies, another voting mode can be set:
carrying out normal test on the overall data of the index, and judging whether the overall data of the index conforms to normal distribution; if yes, performing T test on the data in the mechanism and the overall data under the index to obtain a first P value; if not, carrying out nonparametric inspection to obtain a second P value;
judging whether the obtained P value is smaller than a preset threshold value or not; if yes, the mechanism accumulates 1 ticket; if not, add 0 ticket. This voting method can be used in combination with the above-described voting methods and different adjustment coefficients can be set, i.e. the votes calculated in each method are multiplied by the adjustment coefficients and added.
Further, the total number of tickets of each mechanism under the index is calculated, and the data difference condition of the mechanism is judged by taking the number of tickets of other mechanisms as comparison. In order to make the result more intuitive and accurate, the data and the overall data of each mechanism under the index can be visualized by using a box plot or density plot method, and abnormal data can be searched in an auxiliary manner. As shown in fig. 3, the data amount of each mechanism is shown in the upper part, the box line diagram is shown in the lower left part, and the density diagram is shown in the lower right part. The distribution of normal data is not very different, and the distribution of abnormal data can be obviously different.
If the data of a certain organization is obviously different from the overall distribution under the index to be analyzed:
1. the mechanism data volume accounts for a small proportion of the whole mechanism and the index data in other mechanisms are distributed consistently, so that the error probability of the unit data is high;
2. under the index to be analyzed, the data volume of the mechanism to be analyzed is extremely large and is inconsistent with the distribution of all other mechanisms, and then the mechanism is wrong with a high probability. Therefore, the exception of the ticket counting method can be filled, namely, if the data of a certain mechanism is more and the data of the mechanism is abnormal, the error of the ticket counting method can occur.
The present invention also provides a system for improving the medical numerical data correction efficiency, which is used for implementing the method for improving the medical numerical data correction efficiency, as shown in fig. 4, and includes:
a data extraction module 101, configured to extract numerical data of a numerical indicator to be analyzed from medical data of a plurality of medical institutions;
a statistic module 102, configured to calculate statistics of the index in the overall data and statistics of the index in the mechanism to be analyzed; the statistics comprise a mean value, a median, a standard deviation, a first quartile and a second quartile;
a difference ratio module 103, for calculating the difference ratio of each statistic of the organization to the statistic of the same type in the overall data;
a first voting module 104 for setting a plurality of difference ratio thresholds, comparing the difference ratio of each statistic of the organization with each difference ratio threshold; each time the difference ratio of one statistic exceeds one of the difference ratio thresholds, the mechanism accumulates 1 ticket;
the ticket counting and correcting module 106 is used for calculating the total number of tickets of the mechanism under the index; and judging whether the numerical data of the numerical index is abnormal or not according to the total ticket number, and correcting the abnormal data.
Further, the system further includes a second voting module 105, configured to perform a normal test on the overall data of the index, and determine whether the overall data of the index conforms to a normal distribution;
if yes, performing T test on the data in the mechanism and the overall data under the index to obtain a first P value; if not, carrying out nonparametric inspection to obtain a second P value;
judging whether the obtained P value is smaller than a preset threshold value or not; if so, the facility accumulates 1 ticket.
The present invention also provides a computer storage medium characterized by: stored therein is a computer program executable by a computer processor for performing the above-described method for improving the efficiency of correcting medical numerical data.
It will be understood by those skilled in the art that the foregoing is merely a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included within the scope of the present invention.
Claims (9)
1. A method for improving the efficiency of medical numerical data correction, comprising the steps of:
extracting numerical data of a numerical index to be analyzed from medical data of a plurality of medical institutions;
calculating the statistic of the index in the overall data and the statistic of the index in the mechanism to be analyzed; the statistics comprise a mean value, a median, a standard deviation, a first quartile and a second quartile;
calculating the difference ratio of each statistic of the organization to the statistic of the same type in the overall data;
setting a plurality of difference ratio thresholds, and comparing the difference ratio of each statistic of the organization with each difference ratio threshold; each time the difference ratio of one statistic exceeds one of the difference ratio thresholds, the mechanism accumulates 1 ticket;
calculating the total ticket number of the mechanism under the index; and judging whether the numerical data of the numerical index is abnormal or not according to the total ticket number, and correcting the abnormal data.
2. The method according to claim 1, wherein before calculating the total number of votes, the method performs a normal test on the total data of the index to determine whether the total data of the index conforms to a normal distribution;
if yes, performing T test on the data in the mechanism and the overall data under the index to obtain a first P value; if not, carrying out nonparametric inspection to obtain a second P value;
judging whether the obtained P value is smaller than a preset threshold value or not; if so, the facility accumulates 1 ticket.
3. The method for improving the efficiency of correcting medical numerical data according to claim 1 or 2, wherein the total number of tickets for each institution under the index is calculated.
4. The method for improving the medical numerical data correction efficiency according to claim 3, characterized in that the data of each organization and the overall data under the index are visualized by using a box plot or a density plot to assist in searching for abnormal data.
5. The method for improving the efficiency of correcting medical numerical data according to claim 1, wherein the difference ratio K of the statistics is calculated as follows:
K＝|tmp-All|/All
where tmp denotes the statistic of the index in the institution and All denotes the statistic of the index in the overall data.
6. The method for improving the efficiency of correcting medical numerical data according to claim 1, wherein numerical data of a numerical index to be analyzed is extracted in parallel from medical data of a plurality of institutions, and a statistic of the index in the overall data and a statistic of the index in the institution to be analyzed are calculated in parallel.
7. A system for improving the efficiency of medical numerical data correction, comprising:
the data extraction module is used for extracting numerical data of the numerical type indexes to be analyzed from the medical data of a plurality of medical institutions;
the statistic module is used for calculating the statistic of the index in the overall data and the statistic of the index in the mechanism to be analyzed; the statistics comprise a mean value, a median, a standard deviation, a first quartile and a second quartile;
the difference ratio module is used for calculating the difference ratio of each statistic of the organization to the statistic of the same type in the overall data;
a first voting module for setting a plurality of difference ratio thresholds, comparing the difference ratio of each statistic of the organization with each difference ratio threshold; each time the difference ratio of one statistic exceeds one of the difference ratio thresholds, the mechanism accumulates 1 ticket;
the ticket counting and correcting module is used for calculating the total number of tickets of the mechanism under the index; and judging whether the numerical data of the numerical index is abnormal or not according to the total ticket number, and correcting the abnormal data.
8. The system for improving the efficiency of medical numerical data correction according to claim 7, further comprising: the second voting module is used for carrying out normal test on the overall data of the index and judging whether the overall data of the index conforms to normal distribution;
if yes, performing T test on the data in the mechanism and the overall data under the index to obtain a first P value; if not, carrying out nonparametric inspection to obtain a second P value;
judging whether the obtained P value is smaller than a preset threshold value or not; if so, the facility accumulates 1 ticket.
9. A computer storage medium, characterized in that: stored therein is a computer program executable by a computer processor, the computer program performing the method of improving the efficiency of medical numerical data correction according to any one of claims 1 to 6.
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- 2021-01-26 CN CN202110105147.7A patent/CN112768062A/en active Pending
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| GB784496A (en) * | 1953-02-05 | 1957-10-09 | Ibm | Digital computer |
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