CN106980767A - A kind of data search method and system based on structured medical database - Google Patents
A kind of data search method and system based on structured medical database Download PDFInfo
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- CN106980767A CN106980767A CN201710207980.6A CN201710207980A CN106980767A CN 106980767 A CN106980767 A CN 106980767A CN 201710207980 A CN201710207980 A CN 201710207980A CN 106980767 A CN106980767 A CN 106980767A
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- 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
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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Abstract
The invention discloses a kind of data search method based on structured medical database, including:Receive the search instruction of input;Wherein, search instruction includes at least one of clinical test patient enrolment search instruction, sufferer science popularization search instruction, automatic diagnostic result search instruction, medical insurance over-treatment identification search instruction, clinical data search instruction and scientific experiment thinking search instruction;Perform the corresponding operation of search instruction;This method can fully improve the utilization ratio of structured medical database, lift medical science intelligent level;The invention also discloses a kind of data search system based on structured medical database, with above-mentioned beneficial effect.
Description
Technical field
The present invention relates to medical data processing technology field, more particularly to a kind of data based on structured medical database
Searching method and system.
Background technology
Medical big data is very hot door and challenging field now.Compared to other various fields, medical industry
The challenge of mass data and unstructured data is already encountered, and many countries are all actively pushing forward medical information in recent years
Development, this many medical institutions to have fund to do big data analysis.However, medical big data is facing to lot of challenges.
Substantial amounts of clinical data exists in non-structured text entry form, and this is analyzed there is provided sternness to big data
Test.For example in hospital clinical data it is the maximum amount of be also it is most valuable be patient electronic health record data.Electronic health record is
Refer to the summation of the data such as word, symbol, chart, image, section that medical worker is formed during curative activity, including door
(urgency), which diagnoses a disease, to be gone through and inpatient cases, and electronic health record refers not only to static medical record information, includes the related service of offer.It is with electronics
Relevant personal lifetime health state and the information of health care behavior that change mode is managed, be related to the collection of patient information, storage,
All procedural informations for transmitting, handling and utilizing.So visible, the content that electronic health record is included, is that sufferer user is most complete, detailed
Thin clinical information resource.Just by the complexity that it includes information, it largely relies on the text description of big section
Pass on information.Processing and analytical plan that nowadays the non-structured text message of this class does not almost automate.Scientific research personnel
Electronic health record data need to be searched for by keyword or combination condition.However, common natural language participle and tree bank exist
When handling the noun of medical speciality, original professional meaning of a word can be destroyed, search effect can be so had a strong impact on.Therefore,
How to make non-structured text entry formation structural data, and be particularly important for processing such as follow-up data search.
The content of the invention
It is an object of the invention to provide a kind of data search method based on structured medical database and system, Neng Gouchong
Divide the utilization ratio for improving structured medical database, lift medical science intelligent level.
In order to solve the above technical problems, the present invention provides a kind of data search method based on structured medical database,
Including:
Receive the search instruction of input;Wherein, the search instruction includes clinical test patient enrolment search instruction, sufferer
Science popularization search instruction, automatic diagnostic result search instruction, medical insurance over-treatment identification search instruction, clinical data search instruction with
At least one of and scientific experiment thinking search instruction;
Perform the corresponding operation of the search instruction.
Optionally, when the search instruction is clinical test patient enrolment's search instruction, the search instruction pair is performed
The operation answered, including:
The medical science for the required clinical test patient that user inputs is determined according to the clinical test patient enrolment search instruction
Variable data condition;
Matching meets the electronic health record of the medical science variable data condition from structured medical database, and according to described
Electronic health record determines to meet the potential clinical test subject of condition.
Optionally, when the search instruction is sufferer science popularization search instruction, the corresponding operation of the search instruction is performed,
Including:
The sufferer problem that user inputs is determined according to the sufferer science popularization search instruction, and extracted in the sufferer problem
Medical science variable data;
The science popularization data for meeting the medical science variable data are obtained from structured medical database.
Optionally, when the search instruction is automatic diagnostic result search instruction, the search instruction is performed corresponding
Operation, including:
The illness data that user inputs are determined according to the automatic diagnostic result search instruction, and extract the illness data
In medical science variable data;
Matching meets the electronic health record of the medical science variable data from structured medical database, and according to the electronics
Case history determines tentative diagnosis result and corresponding standard care operation.
Optionally, this programme also includes:
When receiving the consultation of doctors application of input, the illness data are sent into designated hospital to apply for the consultation of doctors.
Optionally, when the search instruction is that medical insurance over-treatment recognizes search instruction, the search instruction pair is performed
The operation answered, including:
When receiving the medical insurance over-treatment identification search instruction, obtain pre- fixing from structured medical database
As the inspection result data of report;Wherein, the predetermined image report includes ultrasonic image report, CT image reports and MRI shadows
As report;
Statistical analysis is carried out to the inspection result data, and determines that the pre- fixing whether there is according to analysis result
Excessive imaging.
Optionally, this programme also includes:
Standard code is carried out to the electronic health record in structured medical database or encoded patient is encoded
Correct.
Optionally, when the search instruction is clinical data search instruction, the corresponding operation of the search instruction is performed,
Including:
The electronic health record search condition that user inputs is determined according to the clinical data search instruction;
Matching meets the electronic health record of the electronic health record search condition from structured medical database.
Optionally, when the search instruction is scientific experiment thinking search instruction, the search instruction is performed corresponding
Operation, including:
The medical science variable that user inputs is determined according to the scientific experiment thinking search instruction;
Using the analysis of exhaustive parser and the medical science variable related data from structured medical database, obtain
Scientific experiment thinking.
The present invention also provides a kind of data search system based on structured medical database, including:
Receiving module, the search instruction for receiving input;Wherein, the search instruction includes clinical test patient enrolment
Search instruction, sufferer science popularization search instruction, automatic diagnostic result search instruction, medical insurance over-treatment identification search instruction, clinic
At least one of data search instruction and scientific experiment thinking search instruction;
Performing module, for performing the corresponding operation of the search instruction.
A kind of data search method based on structured medical database provided by the present invention, including:Receive input
Search instruction;Wherein, search instruction includes clinical test patient enrolment search instruction, sufferer science popularization search instruction, automatic diagnosis
As a result search instruction, medical insurance over-treatment identification search instruction, clinical data search instruction and the search of scientific experiment thinking refer to
At least one of order;Perform the corresponding operation of search instruction;It can be seen that, this method can fully improve structured medical database
Utilization ratio, lifts medical science intelligent level;Present invention also offers a kind of data search based on structured medical database
System, with above-mentioned beneficial effect, will not be repeated here.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
The embodiment of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
The accompanying drawing of offer obtains other accompanying drawings.
The flow chart for the data search method based on structured medical database that Fig. 1 is provided by the embodiment of the present invention;
The structural frames for the data search system based on structured medical database that Fig. 2 is provided by the embodiment of the present invention
Figure.
Embodiment
The core of the present invention is to provide a kind of data search method based on structured medical database and system, Neng Gouchong
Divide the utilization ratio for improving structured medical database, lift medical science intelligent level.
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
A part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
The utilization of unstructured medical science text message is a big difficult point of technical field all the time.Current general user
Work or semi-artificial mode handle medical science text message.Major part has the doctor of use demand or the practitioner of relevant industries to use
Manual read's medical science text and do standardization typing mode handle non-structured history medical data (retrospective data).It is logical
With method substantially, by related personnel oneself or the design of third party technology provider and the electronic structuring form of programming realization
(eCRF), then by related personnel's artificial naked eyes scan text data portionwise, structuring is manually entered into after finding relevant information
In form.A small number of technologies can be realized to be won based on Keywords matching and the semi-automatic information of standard formulation, i.e., from text
Match relative words or express and read information there is provided the convenient artificial naked eyes of complementary tool.And the present embodiment is to be based on structuring
Medical data base, structured medical data base automatic degree and intelligence degree here is high.
Wherein, structured medical database generating process can be the medical science text message for obtaining input;Determine medical science text
The corresponding natural semantic processes model of this information, and depth nature is carried out to medical science text message using nature semantic processes model
Semantic analysis is handled, and obtains result;Determine the corresponding medical science variable of each processing data in result, and by each processing number
According to the correspondence position for being input to correspondence medical science variable, structured medical database is obtained.
The present embodiment can realize that government more preferably understands the health letter of resident in region based on the structured medical database
Breath, planning region medical treatment Top-layer Design Method, carries out supervision function;Hospital's lifting efficiency of operation is helped, is cut operating costs, it is to avoid doctor
Responsibility is treated, the popularity of hospital is lifted;Doctor is helped to reduce the time for reading medical history, the efficiency of inputting of scientific data, lifting doctor
Skill, publish thesis, conferring of academic titles, reduce risk of medicine accident, lifted market popularity;Help medicine enterprise to realize precisely to promote, it is auxiliary
Help new drug development;Help medical insurance to realize that medical insurance expense is controlled, help the more preferable deisgn product of business health insurance, flow is compensated in optimization.Specifically
It refer to Fig. 1, the flow for the data search method based on structured medical database that Fig. 1 is provided by the embodiment of the present invention
Figure;This method can include:
S100, the search instruction for receiving input;Wherein, the search instruction refers to including clinical test patient enrolment search
Make, sufferer science popularization search instruction, automatic diagnostic result search instruction, medical insurance over-treatment identification search instruction, clinical data are searched
At least one of Suo Zhiling and scientific experiment thinking search instruction;
S110, the corresponding operation of the execution search instruction.
Specifically, user searches after inputting specific search instruction, the structured medical database response search instruction
Corresponding data is supplied to user.
, can be according to the characteristics of required patient from electricity for example when search instruction is clinical test patient enrolment's search instruction
The quick patient for being determined for compliance with requiring in sub- case history, can be more fast and accurately in the range of the satisfactory patient
Recruit the i.e. potential clinical test subject of patient for being ready to carry out clinical test, i.e., can be fast for the clinical test of the overwhelming majority
Speed, which is recruited, arrives enough subjects;And then the speed of new drug development is improved, reduce cost and medicine enterprise can be helped to realize precisely
Promote.This can be by the payer of precious clinical patient resource and pharmaceuticals industry:Medical insurance, pharmaceutical factory are docked.
When search instruction is sufferer science popularization search instruction, professional science popularization can be determined in database according to search content
Data simultaneously return to user.At this moment medical knowledge base can be built in structured medical database, user stores medical knowledge,
To search accurate medical knowledge data more fast and accurately.
Can be illness that user inputs etc. according to search content when search instruction is automatic diagnostic result search instruction
Supplemental characteristic (age of such as patient, illness, the medical parameter such as duration), when extracting these data messages, from knot
Related or similar case history is searched in structure medical data base, and obtains the therapeutic scheme of correspondence case history patient to be supplied to consulting
User.Further it is also provided to the diagnostic result of user's illness.Even be also provided to user recommendation hospital,
Doctor etc., or it is available to the selection (button for for example setting application to hold a consultation, when user's click should of user's progress consultation of doctors application
Hospital for being held a consultation etc. can be selected during button, or the consultation of doctors application directly is sent into backstage handled).So
Hospital can be helped to lift efficiency of operation, cut operating costs, it is to avoid malpractice insurance, the popularity of hospital is lifted;Help doctor
Reduce the time for reading medical history, the efficiency of inputting of scientific data, lifting medical technologies level.
When search instruction is that medical insurance over-treatment recognizes search instruction, it can be judged pair according to the Contents for Monitoring of search
Whether the positive inspection result of image report answered is more than certain proportion, if then proving that the image check belongs to excessive detection.I.e.
The situation of medical insurance or medical quality control is not met.For example, deep semantic analysis can analyze all inspection reports in a region
Accuse, and recognize wherein whether there is positive findings.Once the inspection in some region occurs in that the negative findings of very high percentage, it can
There can be excessive imaging.Furthermore it is possible to which by analyzing the mistake in the searching diagnosis coding of the situation in case history, quality control is improved with this
Effect processed.The analysis of such depth is favorably improved the efficiency and fairness of medical insurance.Medical insurance is helped to realize that medical insurance expense is controlled.
When search instruction is clinical data search instruction, corresponding electronic health record can be determined according to search content.Together
When the whole electronic health records searched can be subjected to display and check for user, either provide user export path or to arrange
Sheet form is checked for user's selection.By the data search to electronic health record etc. can analyze in real time patient whole medical history and
Present situation, this can greatly facilitate the Data Collection of the clinical research of drugmaker's progress real world, help business health insurance
Flow is compensated in more preferable deisgn product, optimization.And can realize that government more preferably understands the health and fitness information of resident in region, planning region
Medical Top-layer Design Method, carries out supervision function.
, can be according to the statistical models in system, intelligence point when search instruction is scientific experiment thinking search instruction
Model is analysed, using intelligent algorithm such as exhaustive parser analysis and input medical science variable related data, each variable is analyzed
Between degree of correlation, and finally provide the user scientific experiment thinking.By this user can be made faster to publish thesis, be beneficial to
Conferring of academic titles.And user can be helped to grasp some medical phenomenons faster, improve the efficiency of medical research.
Based on above-mentioned technical proposal, the data search method based on structured medical database that the embodiment of the present invention is carried,
This method can fully improve the utilization ratio of structured medical database, lift medical science intelligent level.
Based on above-described embodiment, when the search instruction is clinical test patient enrolment's search instruction, searched described in execution
The corresponding operations of Suo Zhiling can include:
The medical science for the required clinical test patient that user inputs is determined according to the clinical test patient enrolment search instruction
Variable data condition;
Matching meets the electronic health record of the medical science variable data condition from structured medical database, and according to described
Electronic health record determines to meet the potential clinical test subject of condition.
Specifically, the present embodiment does not limit the content of specific medical science variable data condition, user can be according to new drug
Feature is set.For example it can include age condition (i.e. the range of age, such as less than 70 years old more than 18 years old of recruiting patients
Deng), illness condition (such as with hypertension) or even the detail scope that can specify that illness, sick time etc..
Certain user may further specify that search condition, for example, define 10 medical science variable data conditions, but can set
Surely meet 7, or some must to be fulfilled for other optional etc..To improve the flexibility of search.User can also basis
Search result adjusts the setting of medical science variable data condition at any time, to ensure that enough patients can be recruited.
Based on above-mentioned any embodiment, when the search instruction is sufferer science popularization search instruction, performs the search and refer to
Corresponding operation is made to include:
The sufferer problem that user inputs is determined according to the sufferer science popularization search instruction, and extracted in the sufferer problem
Medical science variable data;
The science popularization data for meeting the medical science variable data are obtained from structured medical database.
Specifically, professional science popularization data can be determined in database according to search content and user is returned to.At this moment may be used
To build medical knowledge base, user's storage medical knowledge, to search more fast and accurately in structured medical database
Rope is to accurate medical knowledge data.For example user's search pregnancy embryonic character, can return to user's science popularization data.Subsequent user
Medical knowledge base can be safeguarded.Or science popularization contents list is built in structured medical database, by science popularization
Contents list determines most suitable science popularization data;Such as user proposes problem (such as in wechat public number using natural language
Typewriting is putd question to), system has corresponding science popularization contents list (article in such as public number) in advance.System can be for user's
Enquirement is parsed, and selects most suitable answer to be fed back from all science popularization answer list.System can be regularly to section
General contents list is safeguarded.
Based on above-mentioned any embodiment, when the search instruction is automatic diagnostic result search instruction, searched described in execution
The corresponding operations of Suo Zhiling, including:
The illness data that user inputs are determined according to the automatic diagnostic result search instruction, and extract the illness data
In medical science variable data;
Matching meets the electronic health record of the medical science variable data from structured medical database, and according to the electronics
Case history determines tentative diagnosis result and corresponding standard care operation.
Inputted specifically, illness data here can be user according to the situation of itself, to this and without limit
It is fixed.Such as children 4 years old, 6 diarrhoea, defecates for blackish green in one day.The medical science variable data so extracted can be main body:
Children;Age:4 years old, illness:Diarrhoea;Illness feature:Blackish green;Frequency:4 hours once.Can also be by automatically request-answering system
These medical science variable datas are obtained with user session.Can according to the search to similar electronic case history after medical science variable data is obtained
To obtain tentative diagnosis result, corresponding standard care can be obtained according to the tentative diagnosis result and operated.It can in addition contain carry
For some model cases to user, it might even be possible to recommend the documents such as correlative theses to understand for user.Further, use can also be provided
The option of the family application specialty consultation of doctors, the medical science variable data that can so input the user is sent to professional team, carries out special
Industry is held a consultation and instructed.The professional team can be designated hospital or designated doctor.I.e. the present embodiment can also include:Work as reception
During the consultation of doctors application of input, the illness data are sent into designated hospital to apply for the consultation of doctors.
Based on above-mentioned any embodiment, when the search instruction is that medical insurance over-treatment recognizes search instruction, institute is performed
The corresponding operation of search instruction is stated, including:
When receiving the medical insurance over-treatment identification search instruction, obtain pre- fixing from structured medical database
As the inspection result data of report;Wherein, the predetermined image report includes ultrasonic image report, CT image reports and MRI shadows
As report;
Statistical analysis is carried out to the inspection result data, and determines pre- fixing with the presence or absence of excessive according to analysis result
Check.
Specifically, the present embodiment does not limit the content of predetermined image report, it can include ultrasonic image report, CT shadows
As report and MRI image report, naturally it is also possible to include other image reports.User can carry out excessive to whole image reports
The search of inspection, can also carry out the search of excessive imaging to specified image report.Inspection result data can be united
Meter analysis, and can determine that pre- fixing whether there is excessive imaging according to analysis result.For example, the normal knot of some index
Very big then image check of proportion that fruit accounts for such image check sum is excessive.
Further excessive imaging can be determined whether there is by the positive discrimination of inspection result.For example determine the inspection
Inspection result positive discrimination in result data is looked into, and judges whether the positive discrimination of the inspection result is more than threshold value;If so,
Then there is excessive imaging in pre- fixing.The present embodiment does not limit the numerical value of specific threshold value yet, and the setting of the threshold value can be by user
Selected and changed according to actual conditions.
Further, the present embodiment can also include:
Standard code is carried out to the electronic health record in structured medical database or encoded patient is encoded
Correct.
Specifically, standard code can the detection comprising ICD autocodings and the processing of first page of illness case code modification.Pass through
The step can improve the accuracy and reliability of electronic health record etc..Wherein, ICD (international
Classification of diseases, International Classification of Diseases).
Based on above-mentioned any embodiment, when the search instruction is clinical data search instruction, performs the search and refer to
Corresponding operation is made, including:
The electronic health record search condition that user inputs is determined according to the clinical data search instruction;
Matching meets the electronic health record of the electronic health record search condition from structured medical database.
Specifically, the present embodiment does not limit the particular content of electronic health record search condition.It can be single conditional search
It can also be many condition search.Electronic health record search time, electronic health record diagnostic result, electronic health record diagnosis can for example be included
The restriction for medical science variable such as scheme.Further, the system can also be carried out to the electronic health record search condition that user inputs
Depth structureization is analyzed, to extract certain medical variable;And then can in the magnanimity patient of structured medical database according to
Complicated retrieval, which is carried out, according to the combination of certain medical variable (variable extracted after depth structureization analysis) (can be understood as electronics
Case history search condition can include the time, and the conditional combination such as pathological characters is as electronic health record search condition, or can enter one
Step combines the certain medical variable obtained by depth structureization analysis and is used as electronic health record search condition).Can be more efficiently
Search and meet the electronic health record information such as patient of search condition in all electronic health record storehouses.Compared to nowadays use keyword or
The case history search of first page of illness case, searching structure is more accurate, and the scope that can search for is wider.
The electronic health record search condition inputted according to user is matched in structured medical database meets the electronics disease
Go through the electronic health record of search condition.These electronic health records can completely be shown after these satisfactory electronic health records are searched
Show, or these electronic health records can completely be exported, or only by relevant electronic health record searching bar in each electronic health record
The content of part is shown, or offer user manually selects function etc. to these satisfactory electronic health records.That is this reality
Example is applied not limit subsequently to the processing procedure of the satisfactory electronic health record searched.
Based on above-mentioned any embodiment, when the search instruction is scientific experiment thinking search instruction, searched described in execution
The corresponding operations of Suo Zhiling, including:
The medical science variable that user inputs is determined according to the scientific experiment thinking search instruction;
Using the analysis of exhaustive parser and the medical science variable related data from structured medical database, obtain
Scientific experiment thinking.
Specifically, exhaustive literature search can be carried out according to its huge paper data, and determined according to medical science variable
The analysis that corresponding statistical model carries out medical science variable (for example makes descriptive analysis to each medical science variable, visualizes matter
Control analysis etc.), the degree of relevancy between medical science variable is analyzed, so as to provide thinking for scientific experiment.Can also be to paper etc.
Document carries out data cleansing (carrying out examining and being verified to find data problem automatically to data such as papers).Here medical science becomes
Amount can be user input the variable related to scientific research or scientific research involved by variable.
Based on above-mentioned technical proposal, the data search method based on structured medical database that the embodiment of the present invention is carried,
This method can fully improve the utilization ratio of structured medical database, lift medical science intelligent level.Help hospital's lifting
Efficiency of operation, cuts operating costs;Improve scientific data efficiency of inputting, lifting medical technologies, publish thesis, the effect of conferring of academic titles
Rate;Lift market popularity;Help medicine enterprise to realize precisely to promote, aid in new drug development;Help medical insurance to realize that medical insurance expense is controlled, help
The more preferable deisgn product of business health insurance.
The data search system provided in an embodiment of the present invention based on structured medical database is introduced below, under
The data search system based on structured medical database of text description is with above-described based on structured medical database
Data search method can be mutually to should refer to.
It refer to Fig. 2, the data search system based on structured medical database that Fig. 2 is provided by the embodiment of the present invention
Structured flowchart;The system can include:
Receiving module 100, the search instruction for receiving input;Wherein, the search instruction includes clinical test patient
Recruit search instruction, sufferer science popularization search instruction, automatic diagnostic result search instruction, medical insurance over-treatment identification search instruction,
At least one of clinical data search instruction and scientific experiment thinking search instruction;
Performing module 200, for performing the corresponding operation of the search instruction.
Based on above-mentioned technical proposal, the performing module 200 can include:
Clinical test patient enrolment's search unit, for determining user according to the clinical test patient enrolment search instruction
The medical science variable data condition of the required clinical test patient of input;Matching meets the medical science from structured medical database
The electronic health record of variable data condition, and determined according to the electronic health record to meet the potential clinical test subject of condition.
Sufferer science popularization search unit, for determining the sufferer problem that user inputs according to the sufferer science popularization search instruction,
And extract the medical science variable data in the sufferer problem;Obtained from structured medical database and meet the medical science variable number
According to science popularization data.
Automatic diagnostic result search unit, for determining the disease that user inputs according to the automatic diagnostic result search instruction
Disease data, and extract the medical science variable data in the illness data;Matching meets the doctor from structured medical database
The electronic health record of variable data is learned, and determines that tentative diagnosis result and corresponding standard care are grasped according to the electronic health record
Make.
Medical insurance over-treatment recognizes search unit, for when receiving medical insurance over-treatment identification search instruction,
The inspection result data of predetermined image report is obtained from structured medical database;Wherein, the predetermined image report includes
Ultrasonic image report, CT image reports and MRI image report;To the inspection result data carry out statistical analysis, and according to point
Analysis result determines that the pre- fixing whether there is excessive imaging.
Clinical data search unit, for determining that the electronic health record that user inputs is searched according to the clinical data search instruction
Rope condition;Matching meets the electronic health record of the electronic health record search condition from structured medical database.
Scientific experiment thinking search unit, for determining the doctor that user inputs according to the scientific experiment thinking search instruction
Learn variable;Using the analysis of exhaustive parser and the medical science variable related data from structured medical database, obtain
Scientific experiment thinking.
The embodiment of each in specification is described by the way of progressive, and what each embodiment was stressed is and other realities
Apply the difference of example, between each embodiment identical similar portion mutually referring to.For device disclosed in embodiment
Speech, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is referring to method part illustration
.
Professional further appreciates that, with reference to the unit of each example of the embodiments described herein description
And algorithm steps, can be realized with electronic hardware, computer software or the combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software, generally describes the composition and step of each example according to function in the above description.These
Function is performed with hardware or software mode actually, depending on the application-specific and design constraint of technical scheme.Specialty
Technical staff can realize described function to each specific application using distinct methods, but this realization should not
Think beyond the scope of this invention.
Directly it can be held with reference to the step of the method or algorithm that the embodiments described herein is described with hardware, processor
Capable software module, or the two combination are implemented.Software module can be placed in random access memory (RAM), internal memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
The data search method provided by the present invention based on structured medical database and system have been carried out in detail above
It is thin to introduce.Specific case used herein is set forth to the principle and embodiment of the present invention, and above example is said
The bright method and its core concept for being only intended to help to understand the present invention.It should be pointed out that for the ordinary skill of the art
For personnel, under the premise without departing from the principles of the invention, some improvement and modification can also be carried out to the present invention, these improvement
Also fallen into modification in the protection domain of the claims in the present invention.
Claims (10)
1. a kind of data search method based on structured medical database, it is characterised in that including:
Receive the search instruction of input;Wherein, the search instruction includes clinical test patient enrolment search instruction, sufferer science popularization
Search instruction, automatic diagnostic result search instruction, medical insurance over-treatment identification search instruction, clinical data search instruction and section
Grind at least one of experimental considerations search instruction;
Perform the corresponding operation of the search instruction.
2. data search method according to claim 1, it is characterised in that when the search instruction is clinical test patient
When recruiting search instruction, the corresponding operation of the search instruction is performed, including:
The medical science variable for the required clinical test patient that user inputs is determined according to the clinical test patient enrolment search instruction
Data qualification;
Matching meets the electronic health record of the medical science variable data condition from structured medical database, and according to the electronics
Case history determines to meet the potential clinical test subject of condition.
3. data search method according to claim 1, it is characterised in that when the search instruction is searched for for sufferer science popularization
During instruction, the corresponding operation of the search instruction is performed, including:
The sufferer problem that user inputs is determined according to the sufferer science popularization search instruction, and extracts the medical science in the sufferer problem
Variable data;
The science popularization data for meeting the medical science variable data are obtained from structured medical database.
4. data search method according to claim 1, it is characterised in that when the search instruction is automatic diagnostic result
During search instruction, the corresponding operation of the search instruction is performed, including:
The illness data that user inputs are determined according to the automatic diagnostic result search instruction, and extracted in the illness data
Medical science variable data;
Matching meets the electronic health record of the medical science variable data from structured medical database, and according to the electronic health record
Determine tentative diagnosis result and corresponding standard care operation.
5. data search method according to claim 4, it is characterised in that also include:
When receiving the consultation of doctors application of input, the illness data are sent into designated hospital to apply for the consultation of doctors.
6. data search method according to claim 1, it is characterised in that when the search instruction is medical insurance over-treatment
When recognizing search instruction, the corresponding operation of the search instruction is performed, including:
When receiving the medical insurance over-treatment identification search instruction, pre- fixing report is obtained from structured medical database
The inspection result data of announcement;Wherein, the predetermined image report includes ultrasonic image report, CT image reports and MRI image report
Accuse;
Statistical analysis is carried out to the inspection result data, and determines the pre- fixing with the presence or absence of excessive according to analysis result
Check.
7. data search method according to claim 6, it is characterised in that also include:
Standard code is carried out to the electronic health record in structured medical database or coding correction is carried out to encoded patient.
8. data search method according to claim 1, it is characterised in that when the search instruction is searched for for clinical data
During instruction, the corresponding operation of the search instruction is performed, including:
The electronic health record search condition that user inputs is determined according to the clinical data search instruction;
Matching meets the electronic health record of the electronic health record search condition from structured medical database.
9. data search method according to claim 1, it is characterised in that when the search instruction is scientific experiment thinking
During search instruction, the corresponding operation of the search instruction is performed, including:
The medical science variable that user inputs is determined according to the scientific experiment thinking search instruction;
Using the analysis of exhaustive parser and the medical science variable related data from structured medical database, scientific research is obtained
Experimental considerations.
10. a kind of data search system based on structured medical database, it is characterised in that including:
Receiving module, the search instruction for receiving input;Wherein, the search instruction is searched for including clinical test patient enrolment
Instruction, sufferer science popularization search instruction, automatic diagnostic result search instruction, medical insurance over-treatment identification search instruction, clinical data
At least one of search instruction and scientific experiment thinking search instruction;
Performing module, for performing the corresponding operation of the search instruction.
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1547721A (en) * | 2001-08-28 | 2004-11-17 | System, method, and apparatus for storing, retrieving, and integrating clinical, diagnostic, genomic, and therapeutic data | |
US20140039921A1 (en) * | 2003-06-05 | 2014-02-06 | Medidata Solutions, Inc. | Design assistance for clinical trial protocols |
CN103761412A (en) * | 2013-02-27 | 2014-04-30 | 朱威 | Medical treatment information analysis and consultation system |
CN104182843A (en) * | 2014-08-26 | 2014-12-03 | 北京三爱博大医疗科技有限公司 | Medical follow-up visit system and method based on cloud computation |
CN105205601A (en) * | 2015-09-23 | 2015-12-30 | 复旦大学附属中山医院 | System for improving chronic disease long-term follow-up management/compliance through mobile phone terminals |
CN105930639A (en) * | 2016-04-08 | 2016-09-07 | 王韧 | Intelligent medical information science popularization system and method |
CN106228000A (en) * | 2016-07-18 | 2016-12-14 | 北京千安哲信息技术有限公司 | Over-treatment detecting system and method |
CN106227880A (en) * | 2016-08-01 | 2016-12-14 | 挂号网(杭州)科技有限公司 | Doctor searches for the implementation method of recommendation |
-
2017
- 2017-03-31 CN CN201710207980.6A patent/CN106980767A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1547721A (en) * | 2001-08-28 | 2004-11-17 | System, method, and apparatus for storing, retrieving, and integrating clinical, diagnostic, genomic, and therapeutic data | |
US20140039921A1 (en) * | 2003-06-05 | 2014-02-06 | Medidata Solutions, Inc. | Design assistance for clinical trial protocols |
CN103761412A (en) * | 2013-02-27 | 2014-04-30 | 朱威 | Medical treatment information analysis and consultation system |
CN104182843A (en) * | 2014-08-26 | 2014-12-03 | 北京三爱博大医疗科技有限公司 | Medical follow-up visit system and method based on cloud computation |
CN105205601A (en) * | 2015-09-23 | 2015-12-30 | 复旦大学附属中山医院 | System for improving chronic disease long-term follow-up management/compliance through mobile phone terminals |
CN105930639A (en) * | 2016-04-08 | 2016-09-07 | 王韧 | Intelligent medical information science popularization system and method |
CN106228000A (en) * | 2016-07-18 | 2016-12-14 | 北京千安哲信息技术有限公司 | Over-treatment detecting system and method |
CN106227880A (en) * | 2016-08-01 | 2016-12-14 | 挂号网(杭州)科技有限公司 | Doctor searches for the implementation method of recommendation |
Cited By (22)
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