CN110136789A - A kind of data governance quality detection method based on electronic health record application - Google Patents
A kind of data governance quality detection method based on electronic health record application Download PDFInfo
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Abstract
The invention discloses a kind of data governance quality detection methods based on electronic health record application, belong to medical data applied technical field.Data governance quality detection method based on electronic health record application of the invention, by coverage detection, relevance detection, the detection for constituting analysis and map analysis completion data governance quality, the coverage detection includes that the detection of quantity dimension and time dimension detect；Constituting analysis includes composite target and specific operational indicator；Map analysis includes basic dictionary mapping index and disease, operation code mapping index.The data governance quality detection method based on electronic health record application of the invention is able to ascend the comprehensive and confidence level that data administer detection, has good application value.
Description
Technical field
The present invention relates to medical data applied technical fields, specifically provide a kind of data improvement based on electronic health record application
Quality determining method.
Background technique
Medical data is generated by hospital information system, and the composition of hospital information system is extremely complex, and back-end data table is few
Then several hundred, more then thousands of, electronic medical record system belongs to one of them very important system.It is answered in actual medical data
With having many tables in scene and information is redundancy and nugatory, therefore the basis of medical data application is to medical data
Carry out data improvement.The method that current data is administered is that data-oriented application scenarios establish various data models first, is then led to
It crosses and extracts, cleans, integrates initial data and data are loaded onto new model in database layer, the detection of data governance quality exists
It is particularly important during this.
However the detection of data governance quality, currently without the method for system, now common processing means are for specific
Data model compares the data volume variation for administering front and back.Although the method can reflect the quality that data are administered to a certain extent
Situation, but the problem of its reflection, is very unilateral and has many unworthiness.Such as the new many situations of data model
Under with original table be not one-to-one relationship, and the method is also without reference to the inspection of the quality condition for administering content
It surveys.
Summary of the invention
Technical assignment of the invention be in view of the above problems, provide it is a kind of be able to ascend data administer detection it is complete
The data governance quality detection method based on electronic health record application of face property and confidence level.
The further technical assignment of the present invention is to provide a kind of data governance quality Integrated Evaluation Model.
To achieve the above object, the present invention provides the following technical scheme that
It is a kind of based on electronic health record application data governance quality detection method, this method from coverage detect, relevance
Detection constitutes the detection that four aspects of analysis and map analysis carry out data governance quality, and finally by comprehensive data
Calculation model of mass is by quality of data quantificational expression.
Preferably, the coverage detection includes the detection of quantity dimension and time dimension detection.
Preferably, the quantity dimension detection includes the data figureofmerit inspection for single table proposed based on conventional method
Survey and the quality testing based on service integration index, wherein the data volume Indexs measure for being directed to single table is suitable for data mould after improvement
The data of type only are from a table in former data, are judged according to the data volume difference of model after calculating former table and administering.
Preferably, the time dimension detection includes that time range detects and be segmented detection, time range detection is true
Whether the beginning and ending time of fixed each model business datum and initial data time range are consistent.
Preferably, the relevance is detected as the scene that satisfaction needs correlation inquiry application between multiple models, count respectively
Calculating can correct associated data volume between the data volume that can be associated in comparison initial data and the model for administering completion.
Preferably, the composition analysis is to choose important content in conjunction with business feature and carry out accounting analysis, confirm number
According to accuracy, the index for constituting analysis can be composite target, can also be individually designed specific in conjunction with each data model
Operational indicator.
Preferably, the map analysis includes basic dictionary mapping and disease, operation standard set mapping.
Preferably, basic dictionary mapping index firstly the need of the code value and title for calculating each dictionary whether one by one
It is corresponding, calculate accounting situation of each dictionary item in corresponding traffic table further to supplement the content for constituting analysis.
A kind of data governance quality Integrated Evaluation Model, the assessment models are based on the coverage detection, relevance inspection
It surveys, constitute analysis and map analysis, one quantitative value of the model final output is as unified quality evaluation standard.
λ is introduced in the assessment modelsiCoverage detection is adjusted as balance factor, relevance detection, constitutes analysis
With the accounting situation of map analysis, λiRelationship between value and its parameter is expressed as follows:
Compared with prior art, the data governance quality detection method of the invention based on electronic health record application has following
It is outstanding the utility model has the advantages that it is described based on electronic health record application data governance quality detection method first by coverage detection,
Relevance detection, composition analysis, the detection of four aspect of map analysis have carried out comprehensive assessment to data governance quality, finally again
By administer assessment models give quantitative quality condition reference value, in the whole process by data volume with operational indicator
The detection and analysis of multi-angle give comprehensive data governance quality evaluation criteria, have good application value.
Detailed description of the invention
Fig. 1 is the flow chart of the data governance quality detection method of the present invention based on electronic health record application.
Specific embodiment
Below in conjunction with drawings and examples, to the data governance quality detection side of the invention based on electronic health record application
Method is described in further detail.
Embodiment
As shown in Figure 1, the data governance quality detection method of the invention based on electronic health record application, this method is from covering
Degree detection, relevance detection constitute the detection that four aspects of analysis and map analysis carry out data governance quality.
1, coverage detects
Coverage detection mainly contains the detection of quantity dimension and time dimension detection.
The detection of quantity dimension can be indicated by data retention than index C1, and data retention ratio indicates number closer to 1
It is higher according to governance quality.
In the method for quality testing of the processing based on service integration index, we according to the business feature of hospital data,
Hospital admission amount is separately designed, medical three indexs of number and medical expenditure are judged.We are bright to cover ratio by index
Index C2 is indicated, and index covering is than indicating that data governance quality is higher closer to 1.Illustrate by taking the calculating of medical amount ratio as an example
It is as follows:
Index covering is compared than index C2 according to medical amount, when than three indexs of medical expenditure are calculated medical number:
Time dimension detection can be indicated by time range than index C3, be needed in calculating process using then span
The concept of degree, i.e., the business hours of one table across number of days, specific formula for calculation is expressed as follows:
Time or month are refined on the basis of the quantity dimension detection that time dimension detection can also be generally noted above
Carry out the statistics of more detailed dimension.For example each year nearly 3 years data retention can be subdivided into than index C1 for data retention
Than counting.
2, relevance detects
For electronic health record application scenarios we propose respectively medical-diagnosis than R1, medical-drug ratio R2, it is medical-
Expense ratio R3, it goes to a doctor-examines than the relevance detection of this 4 critical index progress data governance qualities of R4.With medical-diagnosis
Than being described as follows for index R1:
Herein it should be noted that can have multiple diagnosis records tables and diagnostics table, such as branch, inpatient department in electronic health record
There are admission records, with first page of illness case diagnosis etc., to apply above with admission diagnosis, discharge record with discharge diagnosis, first page of illness case
Diagnosis records can be calculated when formula with the overall condition of diagnostics table, can also be separated and be calculated, it is flat finally to carry out summation again
?.
3, constitutive character is analyzed
The index for constituting and analyzing is mentioned in summary of the invention can be composite target, can also combine each data model list
Specific operational indicator is solely designed, such as in expenditure pattern, we can calculate separately accounting index of the outpatient service with hospitalization cost
F1.For another example for diagnostic model, we can be respectively in initial data and Governance Model according to medical amount calculated for rank
The accounting index F2 of preceding 10 disease finally carries out otherness comparison based on the above accounting situation.The present invention is with composite target door
It examines and is described as follows for the accounting F1 with hospitalization cost:
4, map analysis
The map analysis stage combine this dictionary of gender, first determine whether original table in Governance Model whether all include
Whether identical dictionary item (such as male, women) and dictionary item code value are consistent (such as 1 represent male, 2 represent women), so
Combine outpatient service table that can provide the medical analysis indexes M1 of specific gender afterwards.And it is more direct for disease, operation standard set
The disease or operation code for detecting hospital are with the correspondence situation between ICD9 and ICD10, first is that how many, which is calculated, to complete
It is corresponding, second is that judging whether corresponding situation is accurate.The present invention for analysis indexes M1 Jiu Zhen not be illustrated: count respectively first
Dictionary item is calculated unanimously than M11 with dictionary item accounting M12:
The medical analysis indexes M1 combination dictionary item of gender unanimously may be expressed as: than M11 with dictionary item accounting M12
Gender is gone to a doctor analysis indexes M1=dictionary item unanimously compares M11* dictionary item accounting M12
One quantitative value of data governance quality Integrated Evaluation Model final output as unified quality evaluation standard,
λ is introduced in the assessment modelsiCoverage detection is adjusted as balance factor, relevance detection, constitutes analysis and mapping point
The accounting situation of analysis, λiRelationship between value and its parameter can be expressed as follows:
Balance factor is combining coverage detection C, relevance detection R, the content for constituting analysis F, tetra- aspect of map analysis M
Later, the calculation formula of data governance quality Integrated Evaluation Model can be expressed as follows:
Wherein n1, n2, n3, n4 have respectively represented the quantity of quality index in four detection contents.Ci, Ri, Fi, Mi then generation
The specific targets item of each corresponding detection content of table.
Embodiment described above, the only present invention more preferably specific embodiment, those skilled in the art is at this
The usual variations and alternatives carried out within the scope of inventive technique scheme should be all included within the scope of the present invention.
Claims (9)
1. a kind of data governance quality detection method based on electronic health record application, it is characterised in that: this method is examined from coverage
It surveys, relevance detection, constitute the detection that four aspects of analysis and map analysis carry out data governance quality, and finally by comprehensive
The quality of data computation model of conjunction is by quality of data quantificational expression.
2. the data governance quality detection method according to claim 1 based on electronic health record application, it is characterised in that: institute
Stating coverage detection includes the detection of quantity dimension and time dimension detection.
3. the data governance quality detection method according to claim 2 based on electronic health record application, it is characterised in that: institute
The detection of quantity dimension is stated to include the data volume Indexs measure for being directed to single table proposed based on conventional method and refer to based on service integration
Target quality testing, wherein only being from suitable for the data of data model after administering in original for the data volume Indexs measure of single table
One table of data judges according to the data volume difference of model after calculating former table and administering.
4. the data governance quality detection method according to claim 3 based on electronic health record application, it is characterised in that: institute
Stating time dimension detection includes that time range detects and be segmented detection, and time range detection is determining each model business datum
Whether the beginning and ending time is consistent with initial data time range.
5. the data governance quality detection method according to claim 4 based on electronic health record application, it is characterised in that: institute
State relevance be detected as meeting need multiple models between the scene applied of correlation inquiry, calculating separately in comparison initial data can be with
It can correct associated data volume between the data volume to associate and the model for administering completion.
6. the data governance quality detection method according to claim 5 based on electronic health record application, it is characterised in that: institute
Composition analysis is stated important content to be chosen and carrying out accounting analysis, confirm the accuracy of data, constitute analysis in conjunction with business feature
Index can be composite target, the individually designed specific operational indicator of each data model can also be combined.
7. the data governance quality detection method according to claim 6 based on electronic health record application, it is characterised in that: institute
Stating map analysis includes basic dictionary mapping and disease, operation standard set mapping.
8. the data governance quality detection method according to claim 7 based on electronic health record application, it is characterised in that: institute
It states whether basic dictionary mapping index corresponds firstly the need of the code value for calculating each dictionary with title, further calculates every
Accounting situation of a dictionary item in corresponding traffic table supplements the content for constituting analysis.
9. a kind of data governance quality Integrated Evaluation Model, it is characterised in that: the assessment models be based on claim 1,2,3,4,
5, the detection of coverage described in 6,7,8 any one, relevance detection, composition analysis and map analysis, the model final output
Quantitative value is as unified quality evaluation standard.
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| CN105741196A (en) * | 2016-03-01 | 2016-07-06 | 万达信息股份有限公司 | Four-dimension-based data quality monitoring and evaluating method |
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