CN110070929A - A kind of acquisition and cleaning method for atrial fibrillation Single diseases data - Google Patents
A kind of acquisition and cleaning method for atrial fibrillation Single diseases data Download PDFInfo
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- CN110070929A CN110070929A CN201910361835.2A CN201910361835A CN110070929A CN 110070929 A CN110070929 A CN 110070929A CN 201910361835 A CN201910361835 A CN 201910361835A CN 110070929 A CN110070929 A CN 110070929A
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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
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
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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
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/258—Data format conversion from or to a database
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
Abstract
The invention discloses a kind of acquisition for atrial fibrillation Single diseases data and cleaning methods, method includes the following steps: being inquired from each system database view of hospital and related data port；When there is preset keyword in the diagnosis of conditions of patients data, the patient identification code is obtained；The relevant scoring of essential information, medical history, medication, electrocardiogram, ultrasound and patients with atrial fibrillation of the patient is associated with by the identification code of the patient；Structuring is carried out by preset structure mode to the data of acquisition, the data after structuring are then subjected to storage classification according to default storage classification format.To which all medical informations of atrial fibrillation patient gone to a doctor in hospital's Emergency call and in being hospitalized are carried out integrating for multiport by informationization technology, the state of an illness data that patient is scattered in each data port are integrated；Realize that the clear medical data of each patients with atrial fibrillation each time can be perfect, simply integrally to be checked and carried out data analysis by doctor.
Description
Technical field
The present invention relates to medical data processing technology more particularly to a kind of acquisition for atrial fibrillation Single diseases data and
Cleaning method.
Background technique
The prior art is when being acquired medical data, or uses based on manual entry or pass through hospital's existing information
Change system acquisition to invalid data are largely analyzed atrial fibrillation single case management, these data extracting modes depend on a large amount of manpowers
Cost, time cost investment, and collecting efficiency is low, and collection effect is poor.
And in existing medical data processing, substantially based on manually cleaning, main cause is that prior art is not
Most of also without the criteria data fields of setting patient for atrial fibrillation this Single diseases disease, the relationship between field is
Isolating, independent mutually, leading to the data obtained is all non-structured invalid data mostly, so carrying out structure to data
Change, follow-up, the processing of Single diseases need to rely on a large amount of time investment.
Summary of the invention
For above-mentioned problems of the prior art, the present invention provide a kind of acquisition for atrial fibrillation Single diseases data and
Cleaning method；This for atrial fibrillation Single diseases data acquisition and cleaning method the following steps are included:
It is inquired from each system database view of hospital and related data port；
When there is preset keyword in the diagnosis of conditions of patients data, the patient identification code is obtained；
Essential information, medical history, medication, electrocardiogram, ultrasound and the room of the patient are associated with by the identification code of the patient
The relevant scoring of the patient that quivers；
Structuring is carried out by preset structure mode to the data of acquisition, then will be tied according to default storage classification format
Data after structure carry out storage classification.
Optionally, above-mentioned preset keyword includes: one of atrial fibrillation, auricular fibrillation, atrial fibrillation or a variety of combinations.
Optionally, above-mentioned identification code includes: one of identification card number, medical card number, patient ID or a variety of combinations.
Optionally, the essential information include: name, the age, department, cha2ds2-vasc scoring, has-bled scoring,
One of diagnosis, follow-up information, source, consultation time or a variety of combinations.
Optionally, the follow-up information includes: that follow-up purpose, scoring, symptom and sign, event, drug, outer court examine, are outer
Institute's heart is super, one of outer court holter or a variety of.
Further, the patient data carries out storage classification according to atrial fibrillation Single diseases follow-up structure, so as to whole by doctor
Data analysis is checked and carried out to body.
Further, the identification code by the patient is associated with the essential information, medical history, medication, electrocardio of the patient
Figure, ultrasound and the relevant scoring of patients with atrial fibrillation, specifically:
When the data source of data pick-up is third party database, encoded according to the title of Single diseases or icd from diagnostics table
In match id in the institute of all patients for belonging to the disease；
Taken at regular intervals belongs to all information of this id from each operation system；After the completion of acquisition, by number obtained
According to being uniformly converted to JSON data structure；
When the data source of data pick-up is integrated platform, the corresponding interface is encapsulated according to each interface form respectively, is formed
The standard interface of multiple patient id- > JSON；
By the JSON data summarization of multiple patients at list, the case where obtaining with view is identical to be returned the result.
Further, the data of described pair of acquisition carry out structuring by preset structure mode, specifically:
It determines time range where needing synchronous data, the data in corresponding time range is synchronized；
It determines the patient id newly subscribed to, its historical data is imported in database；
Source data field in database and newer field are established into one-to-one relationship by various pivot operations.
The present invention has the following beneficial effects: compared with the prior art
For the prior art when handling data, existing acquisition and cleaning difficult problem, the present invention pass through root
Patient's unique identifier is obtained containing " atrial fibrillation ", " atrial fibrillation ", " auricular fibrillation " according to diagnosis, and according to patient identification code into one
Step obtains the other patient datas of essential information, diagnosis, medication, medical history, B ultrasound, case history, operation information etc. in patient's view, leads to
It crosses atrial fibrillation disease that calls for specialized treatment follow up data library of the invention and marks standardized call format, data are cleaned automatically, automatic structure
And final classification stores；To realize the automatic collection and cleaning to data.By it is all hospital's Emergency call and be hospitalized in just
The medical information for the atrial fibrillation patient examined carries out the integrated of multiport by informationization technology, and patient is scattered in each data port
In state of an illness data integrated；Realize that the clear medical data of each patients with atrial fibrillation each time can be perfect, so as to
Data analysis is simply integrally checked and carried out by doctor.
Detailed description of the invention
Fig. 1 is the acquisition provided in an embodiment of the present invention for atrial fibrillation Single diseases data and the principle signal of cleaning method
Figure；
Fig. 2 is essential information input interface schematic diagram；
Fig. 3 to Fig. 5 is patient basis's schematic diagram；
Fig. 6 is to cover schematic diagram data；
Fig. 7 is scoring Rapid input interface schematic diagram；
Fig. 8 is symptom and sign and logout page schematic diagram；
Fig. 9 is medication interface schematic diagram.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiments of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
Member's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
In view of the above-mentioned problems existing in the prior art, the present embodiment provides a kind of acquisition for atrial fibrillation Single diseases data and
Cleaning method, for realizing automatically grabbing and automatically by the data cleansing of crawl at structuring to atrial fibrillation patient related data
Atrial fibrillation Single diseases follow up data, then by the atrial fibrillation Single diseases follow up data after cleaning in hospital's intranet server network environment
In stored, so that all medical informations of atrial fibrillation patient gone to a doctor in hospital's Emergency call and in being hospitalized are passed through informationization
Technology carries out the integrated of multiport, patient is scattered in hospital outpatient system, be hospitalized system, emergency treatment system, HIS system, electronics
Case history, checking system, image system, prescription system, doctor's advice system, surgery systems and wearable device of patient oneself etc. ten
Data integration in remaining a port enters the unified atrial fibrillation Single diseases follow up data library system based on hospital's intranet environment；
Specifically, the major function that the acquisition of the present embodiment and cleaning method are realized is as follows:
Data grabber, including patient information, medical history, medication, checking information, the heart are super, electrocardiogram, doctor's advice, other atrial fibrillation numbers
According to main points etc.；
Data record, including scoring, follow-up, operation record, project data, outer court's data record, other atrial fibrillations with
Visit main points etc.；
By designing special view structure, from each system database view of hospital and related data port, according to
Occur the conditions such as " atrial fibrillation ", " auricular fibrillation ", " atrial fibrillation " in " diagnosis " of patient's state of an illness data, obtains the identity card of patient
Number, the patient identifications code such as medical card number, patient ID, then patient is further obtained into other views by this identification code
Related state of an illness data, such as department's diagnosis, image data, medication, present illness history, history of operation, personal history, blood pressure heart rate, by institute
The data of interior script segmentation reintegrate correspondence；After obtaining these data, atrial fibrillation patient data structured side of the invention is used
Patient's state of an illness data is carried out structuring by method, is organized into the Each part that can be analyzed by data, is designed according still further to the present invention
Special atrial fibrillation Single diseases follow up data library storage classification format, by patient data according to atrial fibrillation Single diseases follow-up structure carry out
Storage classification realizes that the clear medical data of each patients with atrial fibrillation each time can be perfect.So as to simple by doctor
Entirety check and carry out data analysis.
Patients with atrial fibrillation is mainly outpatient service, is hospitalized, emergency treatment, and the present embodiment obtains the base of outpatient service and the patients with atrial fibrillation being hospitalized
This information, diagnosis, diagnosis records, prescription, medical history and the operation relevant information of atrial fibrillation patient in hospital calculate separately respective total
Number, department's distribution, anticoagulant rate, men and women age cross section statistics, merges disease and the trend of these indexs etc. at total person-time of number
It is analyzed, patient's state of an illness data is subjected to structuring using atrial fibrillation patient data structured method of the invention, according still further to this
The special atrial fibrillation Single diseases follow up data library storage classification format of invention design, by inpatient and out-patient's data according to
Atrial fibrillation Single diseases follow-up structure carries out storage classification；As shown in Figure 1.
Based on above-mentioned, the acquisition for atrial fibrillation Single diseases data of the present embodiment and cleaning method, comprising:
S101 is inquired from each system database view of hospital and related data port；
It should be noted that the patient basis present in hospital database can be automatically recognized crawl, no
Doctor is needed to fill in essential information again；And in subsequent follow-up, doctor needs to record patient's secondary follow-up in follow-up diagnosis
Or medical purpose and atrial fibrillation state of an illness situation；It is recorded including essential information, scoring record, symptom and sign and logout, with
And medication record etc.；
Wherein, essential information input interface is as shown in Figure 2；Scoring is recorded, doctor is fast by scoring as shown in Figure 7
Fast input interface: it by selecting and filling in patient's related data, is quickly obtained by system and accordingly scores and record, facilitate doctor
It is raw current and patient's condition is judged in the future, whether anticoagulant to provide data suggestion.
Symptom and sign and the logout page are as shown in Figure 8: patient still deposits when doctor needs to fill in follow-up under the page
Malaise symptoms.Record this whether the dependent event of the rhythm and pace of moving things and generation.
Medication interface is as shown in Figure 9: doctor can open patient under the interface and take medical prescription, last time medical generation
Prescription information can be imported with a key.Drug dictionary can also search for completion quickly addition automatically.
S102 obtains the patient identification code when there is preset keyword in the diagnosis of conditions of patients data；
It should be noted that above-mentioned preset keyword may include: " atrial fibrillation ", " auricular fibrillation ", in " atrial fibrillation "
One or more combinations；The identification code of above-mentioned patient may include: one of identification card number, medical card number, patient ID or
A variety of combinations.
S103, by the identification code of the patient be associated with the essential information of the patient, medical history, medication, electrocardiogram, ultrasound with
And the relevant scoring of patients with atrial fibrillation；
It should be noted that the associated conditions information of above-mentioned patient may include name, age, department, cha2ds2-
Vasc scoring, has-bled scoring, diagnosis, follow-up information, source, consultation time etc.；As shown in Figures 3 to 5；Follow-up packet
Follow-up purpose, scoring, symptom and sign, event, drug, outer court's inspection, super, the outer court holter of outer court's heart etc. are included, as shown in Figure 6；
Patient data can carry out storage classification according to atrial fibrillation Single diseases follow-up structure, simply integrally to be checked and carried out by doctor
Data analysis.
S104 carries out structuring by preset structure mode to the data of acquisition, then according to default storage classification lattice
Data after structuring are carried out storage classification by formula.
Further, the process of above-mentioned acquisition and cleaning for atrial fibrillation Single diseases data is specific as follows:
1, data pick-up (Extraction)
Patient belongs to the data distribution of some Single diseases in institute in each operation system, for the concrete condition of hospital,
Data source obtained generally has two classes: third party database and integrated platform.
For database, the present embodiment is encoded from diagnostics table by collector according to the common name or icd of Single diseases
Id in the institute of all patients for belonging to the disease is matched, then taken at regular intervals belongs to the institute of this id from each operation system
There is information.After the completion of acquisition, data obtained can be uniformly converted to JSON data structure by collector.
For integrated platform, common interface form has a http interface, soap interface, socket interface, and MQ interface etc. connects
The common form for entering ginseng and going out ginseng of mouth has JSON, xml, hl7, the extraordinary binary structure etc. that integrated platform defines.In this regard, this
Embodiment encapsulates the corresponding interface according to each specific condition, forms the standard interface of multiple patient id- > JSON, collector
Scheduler module can be by the JSON data summarization of multiple patients at list, and the case where obtaining with view is identical to be returned the result.
Most important have in this stage:
Patient id is difficult to obtain whole related datas if disunity in the uniformity of each business module.
Each business module must return to time field, in this way could be to data increment synchronization.
Each significant field must have index, and otherwise synchronization time is unable to control.
2, data conversion (Transformation)
The database of high quality is related to the optimization of the various aspects such as dimension, access speed, data volume, real-time degree.
Aftitadb standard database be we sum up in practice come one for medical research dimension it is quite complete
Database, in order to which synchronized data are injected into the database of this standard.The present embodiment also need one it is automatic
Data converter.Correlation step is as follows:
It determines the time range needed where synchronous data, only synchronizes the data in corresponding time range, reduce each industry
The reading pressure of business system.
Determine the patient id newly subscribed to.Single diseases database only focuses on patient relevant to the disease, if the patient is most
It is just closely diagnosed to be the disease, then is not included into database before, it is therefore desirable to import its historical data in data.
The field and table structure of database require to adjust, it is therefore desirable to by various pivot operations by source data field with
Newer field establishes one-to-one relationship.
The technical solution of the present embodiment compared with the prior art, has the following beneficial effects:
For the prior art when handling data, existing acquisition and cleaning difficult problem, the present embodiment pass through
According to diagnosis containing " atrial fibrillation ", " atrial fibrillation ", " auricular fibrillation " obtain patient's unique identifier, and according to patient identification code into
One step obtains the other patient datas of essential information, diagnosis, medication, medical history, B ultrasound, case history, operation information etc. in patient's view,
Standardized call format is marked in atrial fibrillation disease that calls for specialized treatment follow up data library through this embodiment, and data are cleaned automatically, are tied automatically
Structureization and final classification storage；To realize the automatic collection and cleaning to data.By it is all hospital's Emergency call and be hospitalized
In the medical information of atrial fibrillation patient gone to a doctor the integrated of multiport is carried out by informationization technology, patient is scattered in each data
State of an illness data in port are integrated；Realize that the clear medical data of each patients with atrial fibrillation each time can be perfect,
Simply integrally to be checked and carried out data analysis by doctor.
In addition, it should be noted that, it should be understood by those skilled in the art that, technical solution of the present invention can provide as side
Method, device or computer program product.Therefore, complete hardware embodiment can be used in the embodiment of the present invention, complete software is implemented
The form for the embodiment that example or software and hardware combine.It is wherein wrapped moreover, the embodiment of the present invention can be used in one or more
Computer-usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optics containing computer usable program code
Memory etc.) on the form of computer program product implemented.
And the embodiment of the present invention be referring to according to the method for the embodiment of the present invention, terminal device (system) and computer
The flowchart and/or the block diagram of program product describes.It should be understood that flow chart and/or side can be realized by computer program instructions
The combination of the process and/or box in each flow and/or block and flowchart and/or the block diagram in block diagram.It can provide
These computer program instructions are whole to the processing of general purpose computer, special purpose computer, Embedded Processor or other programmable datas
The processor of end equipment is to generate a machine, so that passing through the processing of computer or other programmable data processing terminal devices
The instruction that device executes generates for realizing in one box of one or more flows of the flowchart and/or block diagram or multiple sides
The device for the function of being specified in frame.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing terminal devices
In computer-readable memory operate in a specific manner, so that instruction stored in the computer readable memory generates packet
The manufacture of command device is included, which realizes in one side of one or more flows of the flowchart and/or block diagram
The function of being specified in frame or multiple boxes.These computer program instructions can also be loaded at computer or other programmable datas
It manages on terminal device, so that executing series of operation steps on computer or other programmable terminal equipments to generate computer
The processing of realization, so that the instruction executed on computer or other programmable terminal equipments is provided for realizing in flow chart one
The step of function of being specified in a process or multiple processes and/or one or more blocks of the block diagram.
Of course, it should be understood that although the preferred embodiment of the embodiment of the present invention has been described, skill in the art
Art personnel once know basic creative concept, then additional changes and modifications can be made to these embodiments.So appended
Claim is intended to be construed to include preferred embodiment and all change and modification for falling into range of embodiment of the invention.
It should also be noted that, herein, the terms "include", "comprise" or its any other variant are intended to non-
It is exclusive to include, so that process, method, article or terminal device including a series of elements are not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or terminal
The intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...", is not arranged
Except there is also other identical elements in process, method, article or the terminal device for including the element.
The above is only the preferred embodiment of the present invention, are not intended to restrict the invention, and those skilled in the art are come
It says, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any modification, equivalent
Replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of acquisition and cleaning method for atrial fibrillation Single diseases data, which is characterized in that described to be directed to atrial fibrillation Single diseases number
According to acquisition and cleaning method the following steps are included:
It is inquired from each system database view of hospital and related data port；
When there is preset keyword in the diagnosis of conditions of patients data, the patient identification code is obtained；
Suffered from by essential information, medical history, medication, electrocardiogram, ultrasound and atrial fibrillation that the identification code of the patient is associated with the patient
The relevant scoring of person；
Structuring is carried out by preset structure mode to the data of acquisition, then according to default storage classification format by structuring
Data afterwards carry out storage classification.
2. as described in claim 1 for the acquisition of atrial fibrillation Single diseases data and cleaning method, which is characterized in that default key
Word includes: one of atrial fibrillation, auricular fibrillation, atrial fibrillation or a variety of combinations.
3. as described in claim 1 for the acquisition of atrial fibrillation Single diseases data and cleaning method, which is characterized in that identification code packet
It includes: one of identification card number, medical card number, patient ID or a variety of combinations.
4. as described in claim 1 for the acquisition of atrial fibrillation Single diseases data and cleaning method, which is characterized in that described basic
Information includes: name, the age, department, cha2ds2-vasc scoring, has-bled scoring, diagnosis, follow-up information, source, goes to a doctor
One of time or a variety of combinations.
5. as claimed in claim 4 for the acquisition of atrial fibrillation Single diseases data and cleaning method, which is characterized in that the follow-up
Information include: follow-up purpose, scoring, symptom and sign, event, drug, outer court examines, outer court's heart is super, one in outer court holter
Kind is a variety of.
6. as claimed in claim 5 for the acquisition of atrial fibrillation Single diseases data and cleaning method, which is characterized in that the patient
Data carry out storage classification according to atrial fibrillation Single diseases follow-up structure, integrally to be checked and carried out by doctor data analysis.
7. as described in claim 1 for the acquisition of atrial fibrillation Single diseases data and cleaning method, which is characterized in that described to pass through
Essential information, medical history, medication, electrocardiogram, ultrasound and the patients with atrial fibrillation that the identification code of the patient is associated with the patient are relevant
Scoring, specifically:
When the data source of data pick-up is third party database, according to the title of Single diseases or icd coding from diagnostics table
Allot id in the institute of all patients for belonging to the disease；
Taken at regular intervals belongs to all information of this id from each operation system；After the completion of acquisition, data obtained are united
One is converted to JSON data structure；
When the data source of data pick-up is integrated platform, the corresponding interface is encapsulated according to each interface form respectively, is formed multiple
The standard interface of patient id- > JSON；
By the JSON data summarization of multiple patients at list, the case where obtaining with view is identical to be returned the result.
8. as claimed in claim 7 for the acquisition of atrial fibrillation Single diseases data and cleaning method, which is characterized in that described pair is obtained
The data obtained carry out structuring by preset structure mode, specifically:
It determines time range where needing synchronous data, the data in corresponding time range is synchronized；
It determines the patient id newly subscribed to, its historical data is imported in database；
Source data field in database and newer field are established into one-to-one relationship by various pivot operations.
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| CN110600136A (en) * | 2019-08-22 | 2019-12-20 | 佛山市第一人民医院（中山大学附属佛山医院） | Disease species tracking management method and system |
| CN112289394A (en) * | 2020-08-12 | 2021-01-29 | 上海柯林布瑞信息技术有限公司 | Case subscription method and device for disease library, storage medium and terminal |
| CN113485990A (en) * | 2021-07-05 | 2021-10-08 | 南昌大学第一附属医院 | Multi-dimensional intelligent data cleaning method and system based on big transfusion data |
| CN114627994A (en) * | 2022-03-23 | 2022-06-14 | 中山大学附属第八医院（深圳福田） | Storage method of follow-up data for diagnosis and treatment of urinary calculus |
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