CN110427361A - A kind of method of quality control and system for medical data - Google Patents
A kind of method of quality control and system for medical data Download PDFInfo
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- CN110427361A CN110427361A CN201910708158.7A CN201910708158A CN110427361A CN 110427361 A CN110427361 A CN 110427361A CN 201910708158 A CN201910708158 A CN 201910708158A CN 110427361 A CN110427361 A CN 110427361A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/08—Error detection or correction by redundancy in data representation, e.g. by using checking codes
- G06F11/10—Adding special bits or symbols to the coded information, e.g. parity check, casting out 9's or 11's
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3452—Performance evaluation by statistical analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
- G06F16/2365—Ensuring data consistency and integrity
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Social work
Abstract
The present invention provides a kind of method of quality control and system for medical data, comprising: obtains the medical data collection defined by interface specification that medical institutions upload from interface is uploaded；The every data concentrated to the medical data verifies, and calculates the statistical information of the medical data collection；All qualified data of verification and the statistical information are uploaded to central platform；According to the data for being uploaded to central platform, quality evaluation is carried out to this upload of the medical institutions from multiple dimensions.The present invention can have found the data problem that medical institutions upload in time, be conducive to upload unit and health authorities understand the upload quality of data, promote the quality of data that next time uploads, and then the quality of promotion health care data to supervise and upload unit.
Description
Technical field
The present invention relates to data management field, espespecially a kind of method of quality control and system for medical data.
Background technique
Regional health Platform center receives a large amount of data from incoming end daily, these data are from different upper leaflets
Situations such as position, data-interface is different, makes a report on content missing, mistake there is also data, cause the reception of regional health information center
To the data of a large amount of data or quality of data difference like water off a duck's back, platform is affected to the statistics of information, and then affect doctor
It treats information-based.
Therefore, it is necessary to carry out quality monitoring to the medical data of upload, to meet the administrative departments such as health bureau logarithm it is believed that
The quality of data requirement at breath center.
Summary of the invention
An object of the present invention is provided a kind of for medical data to overcome the deficiencies in the prior art
Method of quality control and system.
Technical solution provided by the invention is as follows:
A kind of method of quality control for medical data, comprising: from uploading that interface obtains that medical institutions upload by connecing
The medical data collection of mouth specification tissue；The every data concentrated to the medical data verifies, and calculates the medical number
According to the statistical information of collection, including: the accuracy of key message in the data is examined, and according to the inspection of the accuracy
As a result the wrong data item number in the statistical information is updated；When key message is accurate in the data, then the data school
Test qualification；All qualified data of verification and the statistical information are uploaded to central platform；It is put down according to the center that is uploaded to
The data of platform carry out quality evaluation to this upload of the medical institutions from multiple dimensions.
It is further preferred that described from the medical data defined by interface specification for uploading the upload of interface acquisition medical institutions
Collection, further includes: Cong Buchuan interface obtains the medical data collection defined by interface specification that medical institutions upload.
It is further preferred that the every data concentrated to the medical data verifies, and calculate the medical treatment
The statistical information of data set, further includes: examine the regular accordance of rule field in the data, and met according to the rule
The inspection result of property updates the alarm data item number in the statistical information.
It is further preferred that the accuracy for examining key message in the data, comprising: judge in the data
Whether medical institutions' code and medical institutions' title are accurate；Judge major key field in the data whether non-empty, the major key
Field is to reflect the field of the data uniqueness；When the major key field non-empty, judge whether the major key field repeats.
It is further preferred that described include: to this upload progress quality evaluation of the medical institutions from multiple dimensions
This upload of the medical institutions is carried out from five business binding character, consistency, relevance, normalization and timeliness dimensions
Quality evaluation, in which: business constraint be in order to monitor this upload data in main table data it is each from table whether
It is complete to embody；Consistency be in order to monitor this upload data in same data bore information in different data table whether
Unanimously；Whether relevance is relevant in main table from the data of table in the data of this upload in order to monitor；Normalization be for
Whether this data uploaded of monitoring meet interface specification；Timeliness is to whether monitor the data of this upload in business
Data upload in time after generating.
It is further preferred that after described this upload progress quality evaluation from multiple dimensions to the medical institutions,
Include: repetition abovementioned steps, quality evaluation is carried out to this upload of medical institutions each in target area from multiple dimensions；Root
According to the quality assessment result of each medical institutions in the target area, each medical institutions in the target area are commented
Point, and visualization presentation is carried out to appraisal result.
The present invention also provides a kind of quality control systems for medical data, comprising: data acquisition module, for from
It passes interface and obtains the medical data collection defined by interface specification that medical institutions upload；Data check module, for the doctor
The every data treated in data set is verified, and calculates the statistical information of the medical data collection, including: described in inspection
The accuracy of key message in data, and the wrong data in the statistical information is updated according to the inspection result of the accuracy
Item number；When key message is accurate in the data, then the data check is qualified；Data uploading module is used for all schools
It tests qualified data and the statistical information is uploaded to central platform；Quality assessment modules, for being uploaded to center according to
The data of platform carry out quality evaluation to this upload of the medical institutions from multiple dimensions.
It is further preferred that the data acquisition module, is further used for passing what interface acquisition medical institutions uploaded from benefit
The medical data collection defined by interface specification.
It is further preferred that the data check module includes: key message verification unit, for judging in the data
Medical institutions' code and medical institutions' title it is whether accurate；Judge major key field in the data whether non-empty, the master
Key field is to reflect the field of the data uniqueness；When the major key field non-empty, judge whether the major key field weighs
It is multiple；Regular accordance verification unit is accorded with for examining the regular accordance of rule field in the data, and according to the rule
The inspection result of conjunction property updates the alarm data item number in the statistical information.
It is further preferred that the quality assessment modules, are further used for from multiple dimensions to doctor each in target area
This upload for treating mechanism carries out quality evaluation；It is right according to the quality assessment result of each medical institutions in the target area
Each medical institutions score in the target area；Further include: visualization model, for being visualized to appraisal result
It presents.
A kind of method of quality control and system for medical data provided through the invention can be brought at least following
It is a kind of the utility model has the advantages that
1, the present invention by verifying to the data that medical institutions upload, ask by the data for finding that medical institutions upload in time
Topic, and qualified data set is filtered out to central platform, it avoids central platform from storing some useless information, wastes money
Source promotes next time to supervise and upload unit in addition, being conducive to upload unit and health authorities' understanding upload quality of data
The quality of data of upload, and then promote the quality of health care data.
2, of the invention to pass interface by increasing to mend, be conducive to upload unit and correct data problem in time, promotes health care
The quality of data.
3, the present invention is by constructing perfect quality system index, from business binding character, consistency, relevance, normalization
Quality evaluation is carried out to this upload of medical institutions with five dimensions of timeliness, and is carried out visually by manager interface
Show, finally realizes the reverse feedback examined about medical institutions' quality of data.
Detailed description of the invention
Below by clearly understandable mode, preferred embodiment is described with reference to the drawings, to a kind of for medical data
Method of quality control and above-mentioned characteristic, technical characteristic, advantage and its implementation of system are further described.
Fig. 1 is a kind of flow chart of one embodiment of method of quality control for medical data of the invention；
Fig. 2 is a kind of flow chart of another embodiment of method of quality control for medical data of the invention；
Fig. 3 is a kind of structural schematic diagram of one embodiment of quality control system for medical data of the invention；
Fig. 4 is a kind of structural representation of another embodiment of quality control system for medical data of the invention
Figure.
Drawing reference numeral explanation:
100. data acquisition module, 200. data check modules, 300. data uploading modules, the verification of 210. key messages are single
Member, 220. regular accordance verification units, 400. quality assessment modules, 500. visualization models.
Specific embodiment
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, Detailed description of the invention will be compareed below
A specific embodiment of the invention.It should be evident that drawings in the following description are only some embodiments of the invention, for
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings other
Attached drawing, and obtain other embodiments.
To make simplified form, part related to the present invention is only schematically shown in each figure, they are not represented
Its practical structures as product.In addition, there is identical structure or function in some figures so that simplified form is easy to understand
Component only symbolically depicts one of those, or has only marked one of those.Herein, "one" is not only indicated
" only this ", can also indicate the situation of " more than one ".
In one embodiment of the invention, as shown in Figure 1, a kind of method of quality control for medical data, comprising:
Step S100 obtains the medical data collection defined by interface specification that medical institutions upload from interface is uploaded.
Step S200 verifies every data that the medical data is concentrated, and calculates the system of the medical data collection
Information is counted, including:
The accuracy of key message in the data is examined, and the statistics is updated according to the inspection result of the accuracy
Wrong data item number in information；
For step S300 when key message is accurate in the data, then the data check is qualified.
All qualified data of verification and the statistical information are uploaded to central platform by step S400.
Step S500 is uploaded to the data of central platform according to, from multiple dimensions to the medical institutions this on
Come into row quality evaluation.
Specifically, the data of medical institutions are uploaded to the front end processor of this system by defined upload interface.Every medical treatment
Mechanism possesses independent upload interface.The data of medical institutions follow unified interface specification, and the interface specification is according to sanitary pipe
The quality of data of reason department requires to formulate, and unified interface specification is conducive to medical information.
After the medical data collection for receiving the upload of every medical institutions, the medical data is concentrated by front end processor every number
According to verification and Information Statistics are carried out, after completing verification, the qualified data of verification and statistical information are uploaded in this system
Heart platform carries out quality evaluation and examination to this upload of medical institutions by central platform.
Each medical institutions are by corresponding hospital information management system (HIS), checking system (LIS), radiology information pipe
The data such as reason system (RIS), clinic information system (CIS), image archiving and communication system (PACS), electronic health record (EMR) are pressed
It is handled according to set interface specification, then data upload before the deadline by treated.
The accuracy of key message in inspection data.Key message is for one object of unique identification or a data
Information.Specifically, key message includes medical institutions' code, medical institutions' title etc..Key message mistake will affect statistics letter
The accuracy of breath, for example, A unit upload data fill in be B mechanism medical institutions' code, this will lead to statistical information mistake
It calculates in B mechanism, to influence the data quality accessment to A, B unit.Preferably, key message further includes major key field, main
Key field is that the field of data uniqueness is defined in every tables of data.Major key field in inspection data whether non-empty, Yi Jitong
The major key field of different data cannot be identical in one tables of data.Such as, it is assumed that the major key field of outpatient clinic record sheet is " doctor
Treat Institution Code+medical serial number ", then " the medical institutions' code+medical serial number " of different diagnosis records cannot be identical, otherwise
Two outpatient service records cannot be distinguished.
Key message is affected, for example, influence program normal operation, so need for key message mistake into
Row statistics.If the key message mistake of a data, need to update wrong data item number, for example wrong data item number adds
1.If the key message of a data is accurate, then it is assumed that data check is qualified, is otherwise unqualified data.
In addition to checking, key message mistake optionally also checks for the common error of data in data.Common error is index
Place is standardized according to not meeting.For example, verifying to the value legitimacy of field each in data, the value of each field is judged
Whether in value range.Preferably, in inspection data rule field regular accordance, and according to the regular accordance
Inspection result updates the alarm data item number in the statistical information.Rule field refers to that the value in the field is by certain rule
It is formed, for example, patient's medical insurance card number is formed by medical insurance office hair fastener rule, so the medical insurance card number in medical data is rule
Then field.If the numerical value of rule field does not meet create-rule, it is wrong to illustrate that the rule field is filled in.For example, medical insurance card
It number is unsatisfactory for medical insurance office hair fastener rule, medical serial number does not meet the create-rule of hospital admission serial number, and the business hours is not inconsistent
Close normal time standard (such as 20191301, wherein month data exception).When rule field does not meet generation rule in data
When then, then rule field is filled in wrong, needs to update alarm data item number.
The qualified data of verification are likely present common error, for example, certain rule fields fill in it is wrong.Further, it records
Wrong detail in checking procedure, for example be recorded in error logging table, in order to which medical institutions understand wrong detail, avoid same
The problem of sample, is going up crossing next time.
In checking procedure, while Information Statistics are carried out.Statistical information includes receiving number of data, verification data strip
Number, wrong data item number and alarm data item number.Receiving number of data is the number of data total amount that medical institutions upload.Check number
It is the number of data total amount of verification according to item number.
The statistical information of all verifications qualified data and aforementioned calculating is uploaded to central platform, by central platform to school
It tests qualified data and carries out quality evaluation again.When key message mistake is more, verify qualified data can compare it is less, on
The data for being transmitted to central platform also can be fewer, to influence the data quality accessment of central platform.
Further, quality evaluation is carried out from five business binding character, consistency, relevance, normalization and timeliness dimensions,
Wherein:
Business constraint, measures the business constraint situation for uploading data, the data of main table it is each from table it is whether complete
It embodies, whether there is or not missings.Relevance, refer to judged according to keyword it is whether relevant in main table from the data of table.
There are multiple tables of data generally directed to same subscriber group, is counted respectively from different business angle, wherein a Zhang Weizhu table,
Other are from table.For example, showing that data are endless if the user recorded in main table does not embody completely from table each
It is whole, there is omission from table data.If be not present in main table from the user recorded in table, show the user's having more from table
Data and main table onrelevant.Assuming that there is 3 tables, main table is outpatient service table, and two are charge detail list and patient information respectively from table
Table.There are patient A, B, C, D in outpatient service table, should also have patient A, B, C, D in corresponding charge detail list, patient information table, if
Lack patient C in charge detail list, then shows that the patient in main table is not presented completely from table.If charging detail list
There is user E in the inside, but does not have E in outpatient service table, then shows that the user E in charge detail list is not associated in outpatient service table.
Consistency compares for numerical value of the same data source in different data table, judges whether there is data value difference
The case where.Normalization refers to that the character string of upload needs to meet interface and uploads specification.
Timeliness refer to whether within the stipulated time complete data uploading operation, specific judgment criteria with " on
The numerical values recited of m- business hours when biography ", i.e. lag number of days carry out quality evaluation.
Further, it is scored according to quality assessment result medical institutions.For example, being carried out respectively from above-mentioned five big dimensions
Marking, then processing is weighted to each dimension result, obtain the score of the medical institutions.The weighted value of each dimension, can refer to row
Industry and mechanism standard are configured.
The present embodiment finds the data that medical institutions upload by verifying to the data that medical institutions upload in time
Problem is conducive to upload unit and health authorities understands the upload quality of data, promoted on next time to supervise and upload unit
The quality of data of biography, and then promote the quality of health care data.
In another embodiment of the present invention, as shown in Fig. 2, a kind of method of quality control for medical data, packet
It includes:
Step S110 passes the medical number defined by interface specification that interface acquisition medical institutions upload from interface and benefit is uploaded
According to collection.
Step S210 verifies every data that the medical data is concentrated, and calculates the system of the medical data collection
Count information；Including:
The accuracy for examining key message in the data updates the statistics according to the inspection result of the accuracy and believes
Wrong data item number in breath；
The accuracy of the key message for examining the data, comprising: judge medical institutions' code in the data
It is whether accurate with medical institutions titles；Judge major key field in the data whether non-empty, the major key field is reflection institute
State the field of data uniqueness；When the major key field non-empty, judge whether the major key field repeats.
The regular accordance of rule field in the data is examined, and is updated according to the inspection result of the regular accordance
Alarm data item number in the statistical information；
Examine the regular accordance of rule field in the data, comprising: judge whether is Patient identification in the data
Meet the create-rule of mark；Judge whether the medical serial number in the data meets medical serial number rule；Described in judgement
Whether the business hours in data meets normal time standard.
For step S300 when key message is accurate in the data, then the data check is qualified.
All qualified data of verification and the statistical information are uploaded to central platform by step S400.
Step S500 is uploaded to the data of central platform according to, from multiple dimensions to the medical institutions this on
Come into row quality evaluation.
Step S600 repeat step S110~S500, from multiple dimensions to medical institutions each in target area this on
Come into row quality evaluation；
Step S610 is according to the quality assessment results of each medical institutions in the target area, to each in target area
Medical institutions score, and carry out visualization presentation to appraisal result.
Specifically, medical data collection is uploaded to the front end processor of this system by medical institutions, wherein business datum it is first on
It passes by uploading interface upload, the benefit of business datum, which is passed, passes interface upload by mending.Every medical institutions be owned by it is independent before
Set machine.The medical data that medical institutions upload needs to follow unified interface specification.
It mends biography interface and provides the chance for mending biography data to medical institutions, asked so that medical institutions' amendment be allowed to upload data
Topic.It uploads interface and mends biography interface and be independent from each other interface, using stand-alone interface mode, be conducive to be isolated, avoid the occurrence of and ask
It influences each other when topic.
From uploading in the access database that the received data in interface channel are stored in front end processor, the interface channel Cong Buchuan is received
Benefit pass data be stored in the supplementary data library of front end processor.By front end processor to the data in access database and supplementary data library
It is verified, and verifies qualified data and be uploaded in the core database of central platform.
Data check and data quality accessment are all carried out in the same manner to mending to pass data and upload data for the first time.Specifically
It is as follows:
Every data that the medical data is concentrated is verified by front end processor, includes following verification content:
Upload unit plausibility check: for example, whether the medical institutions' code and medical institutions' title in data are accurate；
The verification of major key field non-empty: major key field refers to the field that data uniqueness is defined in every table.In every data
Major key field do not allow for sky.
The verification of major key field repeatability: the uniqueness in order to guarantee data, different data cannot have identical major key field,
So major key field cannot repeat in a plurality of data.For example, the major key field in outpatient clinic record sheet is " therapeutic machine
Structure code+medical serial number ", it reflects the uniqueness of outpatient clinic record, needs to check in table with the presence or absence of two
The major key field of different data is identical, if it is present there are major key field repetitions.
The create-rule of Patient identification verifies: Patient identification is usually identified with card number+Card Type, if it is medical insurance card,
Then medical insurance card number needs to meet medical insurance office hair fastener rule, and otherwise Patient identification does not conform to specification.
Medical serial number specification validation: judging whether hospital admission serial number meets medical serial number rule, for example, medical
Without spcial character in serial number, if having spcial character in some medical serial number, which does not conform to specification.
Business hours plausibility check: judging whether the business hours meets normal time standard, for example, the time
20191301 (year-month-day) belong to the data not being inconsistent normally.
Wherein, unit plausibility check is uploaded, major key field non-empty verifies, major key field repeatability is verified as key message
Accuracy verification.The create-rule verification of Patient identification, medical serial number specification validation, business hours plausibility check are rule
The then regular accordance verification of field.
It is the qualified data of verification by the data that the accuracy of key message verifies.In checking procedure, carry out simultaneously
ASSOCIATE STATISTICS, such as: receive number of data, verification number of data, alarm data item number, wrong data item number etc..Receive data
Item number is the number of data total amount that medical institutions upload.Verification number of data is the number of data total amount of verification.When uploading
When unit is filled in unreasonable or major key field and repeated for empty or major key field, then wrong data item number is updated.When there is patient
When identifying that lack of standardization or medical serial number is lack of standardization or the business hours is unreasonable, then alarm data item number is updated.
Initial data (the i.e. the medical data collection) backup that medical institutions are uploaded, to accomplish the traceable of data；Also
The statistical information of all verifications qualified data and aforementioned calculating is sent to central platform, it is qualified to verification again by central platform
Data carry out quality evaluation.When the data processing amount of central platform is greater than pre-determined threshold, data quality accessment work can be with
Under shift each front end processor onto, quality assessment result is reported to central platform, to reduce the load of central platform.
Central platform is responsible for data quality accessment work, from business binding character, consistency, relevance, normalization and timely
Property five dimensions carry out quality evaluations.According to quality assessment result, the scoring of medical institutions is obtained.For example, from above-mentioned five big dimensions
Degree is given a mark respectively, obtains the scoring of each dimension；Processing is weighted to the scoring of each dimension again, obtains the medical institutions
Comprehensive score.The weighted value of each dimension scoring, can refer to professional standard and is configured.Above-mentioned quality evaluation dimension can also be according to need
It expands.
It repeats the above process, obtains the quality assessment result and scoring of each medical institutions in target area respectively；Pass through
The scoring situation of medical institutions each in target area is presented in visualization interface, for example, each medical institutions can be presented
Data service binding character, consistency, relevance, normalization, timeliness etc. can be further presented in comprehensive score ranking when needed
The score detail of five big indexs intuitively grasps the quality of data situation that each medical institutions upload convenient for authorities.Supervisor portion
Door can also require to upload the unit benefit of the quality of data (for example there are the qualified data of broad range of data mistake, verification are few) not up to standard
Data are passed, to promote the quality of data of central platform.
The present embodiment passes interface by increasing to mend, and is conducive to upload unit and corrects data problem in time, promotes health care
The quality of data；Secondly, carrying out assessment marking to the data set after screening, and borrow by constructing perfect quality system index
It helps manager interface visually to be showed, finally realizes the reverse feedback examined about medical institutions' quality of data.
In one embodiment of the invention, as shown in figure 3, a kind of quality control system for medical data, comprising:
Data acquisition module 100, for obtaining the medical treatment defined by interface specification that medical institutions upload from upload interface
Data set.
Data check module 200, every data for concentrating to the medical data verifies, and calculates the doctor
The statistical information for treating data set, including: the accuracy of key message in the data is examined, and according to the accuracy
Inspection result updates the wrong data item number in the statistical information；When key message is accurate in the data, then the number
It is qualified according to verification.
Data uploading module 300, for all qualified data of verification and the statistical information to be uploaded to central platform；
Quality assessment modules 400, for being uploaded to the data of central platform according to, from multiple dimensions to the medical treatment
This of mechanism uploads progress quality evaluation.
Specifically, the data of medical institutions are uploaded to the front end processor of this system, every medical treatment by defined upload interface
Mechanism possesses independent upload interface.The data of medical institutions follow unified interface specification, and the interface specification is according to sanitary pipe
The quality of data of reason department requires to formulate.Unified interface specification is conducive to medical information.
Data acquisition module 100 and data correction verification module 200 are located in front end processor.Receiving what every medical institutions uploaded
After medical data collection, verification and Information Statistics are carried out to every data that the medical data is concentrated by front end processor, complete to verify
Afterwards, the qualified data of verification and statistical information are uploaded to the central platform of this system, by central platform to the sheet of medical institutions
Secondary upload carries out quality evaluation and examination.
Each medical institutions are by corresponding hospital information management system (HIS), checking system (LIS), radiology information pipe
The data such as reason system (RIS), clinic information system (CIS), image archiving and communication system (PACS), electronic health record (EMR) are pressed
It is handled according to set interface specification, then data upload before the deadline by treated.
The accuracy of key message in inspection data.Key message is for one object of unique identification or a data
Information.Specifically, key message includes medical institutions' code, medical institutions' title etc..Key message mistake will affect statistics letter
The accuracy of breath, for example, A unit upload data fill in be B mechanism medical institutions' code, this will lead to statistical information mistake
It calculates in B mechanism, to influence the data quality accessment to A, B unit.Preferably, key message further includes major key field, main
Key field is that the field of data uniqueness is defined in every tables of data.Major key field in inspection data whether non-empty, Yi Jitong
The major key field of different data cannot be identical in one tables of data.Such as, it is assumed that the major key field of outpatient clinic record sheet is " doctor
Treat Institution Code+medical serial number ", then " the medical institutions' code+medical serial number " of different diagnosis records cannot be identical, otherwise
Two outpatient service records cannot be distinguished.
Key message is affected, so the mistake for key message is needed to be counted.If the pass of a data
Key information is wrong, then data inaccuracy, needs to update wrong data item number, for example wrong data item number adds 1.If a data
Key message it is accurate, then it is assumed that data check is qualified, is otherwise unqualified data.
In addition to checking, key message mistake optionally also checks for the common error of data in data.Common error is index
Place is standardized according to not meeting.For example, verifying to the value legitimacy of field each in data, the value of each field is judged
Whether in value range.Preferably, in inspection data rule field regular accordance, and according to the regular accordance
Inspection result updates the alarm data item number in the statistical information.Rule field refers to that the value in the field is by certain rule
It is formed, for example, patient's medical insurance card number is formed by medical insurance office hair fastener rule, so the medical insurance card number in medical data is rule
Then field.If the numerical value of rule field does not meet create-rule, it is wrong to illustrate that the rule field is filled in.For example, medical insurance card
It number is unsatisfactory for medical insurance office hair fastener rule, medical serial number does not meet the create-rule of hospital admission serial number, and the business hours is not inconsistent
Close normal time standard (such as 20191301, wherein month data exception).When rule field does not meet generation rule in data
When then, then rule field is filled in wrong, needs to update alarm data item number.
The qualified data of verification are likely present other common errors, for example, certain rule fields fill in it is wrong.Further,
The wrong detail in checking procedure is recorded, for example is recorded in error logging table, in order to which medical institutions understand wrong detail, is kept away
Exempt from same problem and goes up crossing next time.
In checking procedure, while Information Statistics are carried out.Statistical information includes receiving number of data, verification data strip
Number, wrong data item number and alarm data item number.Receiving number of data is the number of data total amount that medical institutions upload.Check number
It is the number of data total amount of verification according to item number.
The statistical information of all verifications qualified data and aforementioned calculating is uploaded to central platform, by central platform to school
It tests qualified data and carries out quality evaluation again.When key message mistake is more, verify qualified data can compare it is less, on
The data for being transmitted to central platform also can be fewer, to influence the data quality accessment of central platform.
Further, quality evaluation is carried out from five business binding character, consistency, relevance, normalization and timeliness dimensions,
Wherein:
Business constraint, measures the business constraint situation for uploading data, the data of main table it is each from table it is whether complete
It embodies, whether there is or not missings.Relevance, refer to judged according to keyword it is whether relevant in main table from the data of table.
There are multiple tables of data generally directed to same subscriber group, is counted respectively from different business angle, wherein a Zhang Weizhu table,
Other are from table.For example, showing that data are endless if the user recorded in main table does not embody completely from table each
It is whole, there is omission from table data.If be not present in main table from the user recorded in table, show the user's having more from table
Data and main table onrelevant.Such as, it is assumed that there are 3 tables, main table is outpatient service table, and two are charge detail list and patient respectively from table
Information table.There are patient A, B, C, D in outpatient service table, should also have patient A, B, C, D in corresponding charge detail list, patient information table,
If lacking patient C in charge detail list, show that the patient in main table is not presented completely from table.If it is bright to charge
There is user E inside thin table, but there is no E in outpatient service table, then shows that the user E in charge detail list is not associated in outpatient service table
It arrives.
Consistency compares for numerical value of the same data source in different data table, judges whether there is data value difference
The case where.Normalization refers to that the character string of upload needs to meet interface and uploads specification.
Timeliness refer to whether within the stipulated time complete data uploading operation, specific judgment criteria with " on
The numerical values recited of m- business hours when biography ", i.e. lag number of days carry out quality evaluation.
Further, it is scored according to quality assessment result medical institutions.For example, being carried out respectively from above-mentioned five big dimensions
Marking, then processing is weighted to each dimension result, obtain the score of the medical institutions.The weighted value of each dimension, can refer to row
Industry and mechanism standard are configured.
The present embodiment finds the data that medical institutions upload by verifying to the data that medical institutions upload in time
Problem is conducive to upload unit and health authorities understands the upload quality of data, promoted on next time to supervise and upload unit
The quality of data of biography, and then promote the quality of health care data.
In another embodiment of the present invention, as shown in figure 4, a kind of quality control system for medical data, packet
It includes:
Data acquisition module 100, for from upload interface and mend pass interface obtain medical institutions upload press interface specification
The medical data collection of definition.
Data check module 200, every data for concentrating to the medical data verifies, and calculates the doctor
The statistical information for treating data set, including: the accuracy of key message in the data is examined, according to the inspection of the accuracy
It tests result and updates wrong data item number in the statistical information；The regular accordance of rule field in the data is examined, and
The alarm data item number in the statistical information is updated according to the inspection result of the regular accordance；When crucial in the data
When information is accurate, then the data check is qualified.
The data check module 200 includes:
Key message verification unit 210, for judging medical institutions' code in the data and medical institutions' title is
It is no accurate；Judge major key field in the data whether non-empty, the major key field is the word for reflecting the data uniqueness
Section；When the major key field non-empty, judge whether the major key field repeats.
Regular accordance verification unit 220, for judging whether the Patient identification in the data meets the generation of mark
Rule；Judge whether the medical serial number in the data meets medical serial number rule；When judging the business in the data
Between whether meet normal time standard.
Data uploading module 300, for all qualified data of verification and the statistical information to be uploaded to central platform.
Quality assessment modules 400, for being uploaded to the data of central platform according to, from multiple dimensions to target area
This of interior each medical institutions uploads progress quality evaluation；According to the quality evaluation of each medical institutions in the target area
As a result, scoring each medical institutions in the target area.
Visualization model 500, for carrying out visualization presentation to appraisal result.
Specifically, medical data collection is uploaded to the front end processor of this system by medical institutions, wherein business datum it is first on
It passes by uploading interface upload, the benefit of business datum, which is passed, passes interface upload by mending.Every medical institutions be owned by it is independent before
Set machine.The medical data that medical institutions upload needs to follow unified interface specification.
It mends biography interface and provides the chance for mending biography data to medical institutions, so that medical institutions be allowed to correct on previous
Pass data problem.It uploads interface and mends biography interface and be independent from each other interface, using stand-alone interface mode, be conducive to be isolated, keep away
Exempt to influence each other when something goes wrong.
From uploading in the access database that the received data in interface channel are stored in front end processor, the interface channel Cong Buchuan is received
Benefit pass data be stored in the supplementary data library of front end processor.By front end processor to the data in access database and supplementary data library
It is verified, and verifies qualified data and be uploaded in the core database of central platform.
Data check and data quality accessment are all carried out in the same manner to mending to pass data and upload data for the first time.Specifically
It is as follows:
Every data that the medical data is concentrated is verified by front end processor, includes following verification content:
Upload unit plausibility check: for example, whether the medical institutions' code and medical institutions' title in data are accurate；
The verification of major key field non-empty: major key field refers to the field that data uniqueness is defined in every table.In every data
Major key field do not allow for sky.
The verification of major key field repeatability: the uniqueness in order to guarantee data, different data cannot have identical major key field,
So major key field cannot repeat in a plurality of data.For example, the major key field in outpatient clinic record sheet is " therapeutic machine
Structure code+medical serial number ", it reflects the uniqueness of outpatient clinic record, needs to check in table with the presence or absence of two
The major key field of different data is identical, if it is present there are major key field repetitions.
The create-rule of Patient identification verifies: Patient identification is usually identified with card number+Card Type, if it is medical insurance card,
Then medical insurance card number needs to meet medical insurance office hair fastener rule, and otherwise Patient identification does not conform to specification.
Medical serial number specification validation: judging whether hospital admission serial number meets medical serial number rule, for example, medical
Without spcial character in serial number, if having spcial character in some medical serial number, which does not conform to specification.
Business hours plausibility check: judging whether the business hours meets normal time standard, for example, the time
20191301 (year-month-day) belong to the data not being inconsistent normally.
Wherein, unit plausibility check is uploaded, major key field non-empty verifies, major key field repeatability is verified as key message
Accuracy verification.The create-rule verification of Patient identification, medical serial number specification validation, business hours plausibility check are rule
The then regular accordance verification of field.
It is the qualified data of verification by the data that the accuracy of key message verifies.
In checking procedure, while ASSOCIATE STATISTICS is carried out, such as: receive number of data, verification number of data, valid data
Item number, alarm data item number, wrong data item number etc..Receiving number of data is the number of data total amount that medical institutions upload.School
Test the number of data total amount that number of data is verification.It is empty or major key when occurring uploading unit to fill in unreasonable or major key field
When field repeats, then wrong data item number is updated.When occurring, Patient identification is lack of standardization or medical serial number is lack of standardization or business
When time is unreasonable, then alarm data item number is updated.
Initial data (the i.e. the medical data collection) backup that medical institutions are uploaded, to accomplish the traceable of data；Also
The statistical information of all verifications qualified data and aforementioned calculating is sent to central platform, it is qualified to verification again by central platform
Data carry out quality evaluation.When the data processing amount of central platform is greater than pre-determined threshold, data quality accessment work can be with
Under shift each front end processor onto, quality assessment result is reported to central platform, to reduce the load of central platform.
Central platform is responsible for data quality accessment work, from business binding character, consistency, relevance, normalization and timely
Property five dimensions carry out quality evaluations.According to quality assessment result, the scoring of medical institutions is obtained.For example, from above-mentioned five big dimensions
Degree is given a mark respectively, obtains the scoring of each dimension；Processing is weighted to the scoring of each dimension again, obtains the medical institutions
Comprehensive score.The weighted value of each dimension scoring, can refer to professional standard and is configured.Above-mentioned quality evaluation dimension can also be according to need
It expands.
It repeats the above process, obtains the quality assessment result and scoring of each medical institutions in target area respectively；Pass through
The scoring situation of medical institutions each in target area is presented in visualization interface, for example, each medical institutions can be presented
Data service binding character, consistency, relevance, normalization, timeliness etc. can be further presented in comprehensive score ranking when needed
The score detail of five big indexs intuitively grasps the quality of data situation that each medical institutions upload convenient for authorities.Supervisor portion
Door can also require to upload the unit benefit of the quality of data (for example there are the qualified data of broad range of data mistake, verification are few) not up to standard
Data are passed, to promote the quality of data of central platform.
The present embodiment passes interface by increasing to mend, and is conducive to upload unit and corrects data problem in time, promotes health care
The quality of data；Secondly, carrying out assessment marking to the data set after screening, and borrow by constructing perfect quality system index
It helps manager interface visually to be showed, finally realizes the reverse feedback examined about medical institutions' quality of data.
It should be noted that above-described embodiment can be freely combined as needed.The above is only of the invention preferred
Embodiment, it is noted that for those skilled in the art, in the premise for not departing from the principle of the invention
Under, several improvements and modifications can also be made, these modifications and embellishments should also be considered as the scope of protection of the present invention.
Claims (10)
1. a kind of method of quality control for medical data characterized by comprising
The medical data collection defined by interface specification that medical institutions upload is obtained from interface is uploaded；
The every data concentrated to the medical data verifies, and calculates the statistical information of the medical data collection, wherein
Include:
The accuracy of key message in the data is examined, and the statistical information is updated according to the inspection result of the accuracy
In wrong data item number；
When key message is accurate in the data, then the data check is qualified；
All qualified data of verification and the statistical information are uploaded to central platform；
According to the data for being uploaded to central platform, quality is carried out to this upload of the medical institutions from multiple dimensions and is commented
Estimate.
2. the method for quality control according to claim 1 for medical data, which is characterized in that described from upload interface
Obtain the medical data collection defined by interface specification that medical institutions upload, further includes:
The medical data collection defined by interface specification that medical institutions upload is obtained from biography interface is mended.
3. the method for quality control according to claim 1 or 2 for medical data, which is characterized in that described to described
Every data that medical data is concentrated is verified, and calculates the statistical information of the medical data collection, further includes:
The regular accordance of rule field in the data is examined, and according to the inspection result update of the regular accordance
Alarm data item number in statistical information.
4. the method for quality control according to claim 3 for medical data, which is characterized in that described to examine the number
According to the accuracy of middle key message, comprising:
Judge whether medical institutions' code in the data and medical institutions' title are accurate；
Judge major key field in the data whether non-empty, the major key field is the field for reflecting the data uniqueness；
When the major key field non-empty, judge whether the major key field repeats.
5. the method for quality control according to claim 1 or 2 for medical data, which is characterized in that described from multiple
Dimension carries out quality evaluation to this upload of the medical institutions
This upload from business binding character, consistency, five relevance, normalization and timeliness dimensions to the medical institutions
Carry out quality evaluation, in which:
Whether business constraint is to monitor the data of main table in the data of this upload each and completely embody from table；
Whether consistency is consistent in different data table in order to monitor the information of same data bore in the data of this upload；
Whether relevance is relevant in main table from the data of table in the data of this upload in order to monitor；
Normalization is to monitor whether the data of this upload meet interface specification；
Timeliness be in order to monitor this upload data whether business datum generation after upload in time.
6. the method for quality control according to claim 1 or 2 for medical data, which is characterized in that described from multiple
Dimension carries out this upload of the medical institutions after quality evaluation, further includes:
Abovementioned steps are repeated, quality evaluation is carried out to this upload of medical institutions each in target area from multiple dimensions；
According to the quality assessment result of each medical institutions in the target area, to each medical institutions in the target area
It scores, and visualization presentation is carried out to appraisal result.
7. a kind of quality control system for medical data characterized by comprising
Data acquisition module, for obtaining the medical data collection defined by interface specification that medical institutions upload from upload interface；
Data check module, every data for concentrating to the medical data verifies, and calculates the medical data
The statistical information of collection, including: the accuracy of key message in the data is examined, and according to the inspection knot of the accuracy
Fruit updates the wrong data item number in the statistical information；When key message is accurate in the data, then the data check
It is qualified；
Data uploading module, for all qualified data of verification and the statistical information to be uploaded to central platform；
Quality assessment modules, for being uploaded to the data of central platform according to, from multiple dimensions to the medical institutions
This, which is uploaded, carries out quality evaluation.
8. a kind of quality control system for medical data according to claim 7, it is characterised in that:
The data acquisition module is further used for from the doctor defined by interface specification for mending the upload of biography interface acquisition medical institutions
Treat data set.
9. a kind of quality control system for medical data according to claim 7 or 8, which is characterized in that the number
Include: according to correction verification module
Key message verification unit, for judging whether medical institutions' code in the data and medical institutions' title are accurate；
Judge major key field in the data whether non-empty, the major key field is the field for reflecting the data uniqueness；Work as institute
When stating major key field non-empty, judge whether the major key field repeats；
Regular accordance verification unit, for examining the regular accordance of rule field in the data, and according to the rule
The inspection result of accordance updates the alarm data item number in the statistical information.
10. a kind of quality control system for medical data according to claim 7 or 8, it is characterised in that:
The quality assessment modules, be further used for from multiple dimensions to medical institutions each in target area this on come into
Row quality evaluation；According to the quality assessment result of each medical institutions in the target area, to each in the target area
Medical institutions score；
Further include:
Visualization model, for carrying out visualization presentation to appraisal result.
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