CN107818816A - Doctor's electronic health record automatic creation system based on artificial intelligence study - Google Patents
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Abstract
The invention belongs to electronic health record technical field, more particularly to a kind of doctor's electronic health record automatic creation system based on artificial intelligence study.The present invention provides a kind of new doctor's electronic health record automatic creation system based on artificial intelligence study, disease that calls for specialized treatment or training Chinese medical input dictionary can be realized, doctor can be greatly reduced and spend the time on electronic health record is write, and it can reduce by more than 90% mistake with automatic error-correcting and at least, new doctor or the relatively low regional whole medical treatment level of medical level of entering a profession can be improved；And with the increase of new electronic health record in electronic health record pretreatment unit, case history and the prescription place that is more accurate, more perfect, needing doctor to change by hand that big data fitting comes out with deep learning can be less；Operation strategies are wide, and almost each doctor can use.
Description
Technical field
The invention belongs to electronic health record technical field, more particularly to a kind of doctor's electronic health record based on artificial intelligence study
Automatic creation system.
Background technology
The important process that clinicians almost must face daily is to write electronic health record, diagnosis report and disease
People's course of disease is described in detail.Because the Chinese medical dictionary of training disease that calls for specialized treatment is not directed to, plus the amateur typewriting of most doctors
Member, they, which write electronic health record, can consume the substantial amounts of working time, greatly reduce efficiency, reduction that doctor is service for patients
Doctor is used to learn and the time of scientific research.
Current most doctors substantially pass through a small number of WORD forms when writing electronic health record by the way of
Template, using replicate paste by the way of write electronic health record, the electronic health record book write often do not meet state defend do doctor hair
(2017) No. 8 issue《Electronic health record application management specification (tentative)》It is required that.Usually because the lack of standardization and mistake of writing, gives
Medical tangle hides some dangers for.
The various auxiliary softwares and template that existing various electronic health records are write now, are substantially based on 2017 editions《Electronics
Case history application management specification (tentative)》It is required that the electronic stencil of exploitation.The full content of electronic health record almost still needs
Doctor from first to last inputs item by item, in addition to helping doctor's standardized writing template, can hardly mitigate the workload of doctor.
The content of the invention
Automatically generated in view of the above-mentioned problems, the present invention provides a kind of new doctor's electronic health record based on artificial intelligence study
System, it should can realize that disease that calls for specialized treatment or training Chinese medical were defeated based on doctor's electronic health record automatic creation system of artificial intelligence study
Enter dictionary, and doctor can be greatly reduced and spend the time on electronic health record is write.
Concrete technical scheme of the present invention is as follows：
The present invention provides a kind of doctor's electronic health record automatic creation system based on artificial intelligence study, including such as bottom
Point：
Electronic health record pretreatment unit：For being cleaned, being integrated, being arranged, being cleared up and in advance to existing electronic health record
Processing；
Electronic health record processing unit：For carrying out nature language to the electronic health record by the processing of electronic health record pretreatment unit
Processing；
Dictionary generation unit：For establishing disease that calls for specialized treatment or training Chinese vocabulary bank based on the electronic health record after the processing of natural language；
Case history generation unit：For based on the keyword being manually entered, being searched and the keyword phase in Chinese vocabulary bank
The electronic health record of matching, new electronic health record is generated after electronic health record is handled.
Further to improve, the dictionary generation unit includes such as lower part：
Medical records storage module：For storing based on the electronic health record after the processing of natural language；
Screening module：It is more than or equal to threshold value for extracting access times in the electronic health record that is stored in medical records storage module
High frequency vocabulary, the high frequency vocabulary extracted is associated with each electronic health record stored in medical records storage module, and to high frequency words
Converge and carry out disease that calls for specialized treatment or training classification；
Dictionary establishes module：Chinese medical dictionary is established for the high frequency vocabulary based on said extracted and Chinese medical is defeated
Enter method, and as disease that calls for specialized treatment or training Chinese word input dictionary.
Further to improve, the electronic health record pretreatment unit includes such as lower part：
Case history library module：For establishing disease that calls for specialized treatment or training case history storehouse based on existing electronic health record；
Data integration module：For the data in multiple electronic health records to be combined and stored based on case history library module；
Data cleansing module：For removing noise and extraneous data in existing electronic health record；
Data transformation module：For based on data regularization technology by the electronic health record after data cleansing module is cleaned
Data be converted to data set.
Further to improve, the screening module includes display sub-interface, and the display sub-interface is used to show that case history is deposited
The electronic health record in module is stored up, the display sub-interface is provided with filter key, the filter key and the height of disease that calls for specialized treatment or training feature
Frequency vocabulary is associated.
Further to improve, the medical records storage module includes multiple data submodules, and each data submodule is used for
Electronic health record after electronic health record processing unit processes is based on disease that calls for specialized treatment or training carries out classification storage.
Further to improve, the case history generation unit includes similar case history and finds module；The similar case history finds mould
Block includes such as lower part：
Receiving module：The clinical examination data being automatically imported for receiving hospital network system；
Search module：It is single for being generated based on the keyword being manually entered and the clinical examination data being automatically imported in dictionary
The electronic health record of correlation is searched in member；
First display module：For showing the electronic health record searched, modification button is additionally provided with display interface, for chain
A modification interface is connect for manually being modified to the electronic health record of display.
Further to improve, the case history generation unit includes electronic health record automatically-generating module；The electronic health record is certainly
Dynamic generation module includes such as lower part：
Model building module：For carrying out deep learning simultaneously to existing electronic health record by artificial intelligence deep learning technology
Establish model；
Automatically-generating module：For being searched based on the keyword being manually entered in dictionary generation unit and the keyword
The electronic health record to match, new electronic health record is automatically generated by model building module based on the electronic health record searched；
Second display module：For showing the new electronic health record automatically generated, modification button is additionally provided with display interface,
For linking a modification interface for manually being modified to the electronic health record of display.
Further to improve, the case history generation unit also regenerates module including case history, and the case history regenerates
Module is used to receive electronic health record newly-generated after doctor changes, and newly-generated electronic health record storage is arrived into case history storehouse mould
In block.
Further to improve, the search module includes such as lower part：
Case history searches submodule：For searching degree of fitting in dictionary generation unit based on keyword and clinical examination data
One group of electronic health record of highest, and be ranked up according to degree of fitting；
Highlight submodule：Which project or content reminded for being highlighted in the electronic health record that goes out in artificial selection
It is that must change and increase and decrease item.
Further to improve, the similar case history, which finds module, also includes such as lower part：
Trigger module：Module startup is found for triggering prescription；
Prescription finds module：For finding phase in dictionary generation unit based on electronic health record newly-generated after manual amendment
The prescription and the course of disease of matching, are shown by the first display module, and based on the modification circle of modification button link one on display interface
Face is stored to described for manually being modified to the prescription and the course of disease of display, and by prescription newly-generated after manual amendment and the course of disease
In case history library module.
Beneficial effects of the present invention are as follows：
The present invention provides a kind of new doctor's electronic health record automatic creation system based on artificial intelligence study, it is possible to achieve
Disease that calls for specialized treatment or training Chinese medical input dictionary, can greatly reduce doctor and spend the time on electronic health record is write, and can be with
It automatic error-correcting and can at least reduce by more than 90% mistake, new enter a profession doctor or medical level relatively low land can be improved
The whole medical treatment in area is horizontal；And with the increase of new electronic health record in electronic health record pretreatment unit, big data fitting and depth
Spend the case history for learning out and prescription place that is more accurate, more perfect, needing doctor to change by hand can be less；Operation strategies are wide,
Almost each doctor can use.
Brief description of the drawings
Fig. 1 is the structured flowchart for doctor's electronic health record automatic creation system that embodiment 1 is learnt based on artificial intelligence；
Fig. 2 is the structured flowchart for doctor's electronic health record automatic creation system that embodiment 2 is learnt based on artificial intelligence；
Fig. 3 is the structured flowchart for doctor's electronic health record automatic creation system that embodiment 3 is learnt based on artificial intelligence；
Fig. 4 is the structured flowchart for doctor's electronic health record automatic creation system that embodiment 4 is learnt based on artificial intelligence；
Fig. 5 is the structured flowchart for doctor's electronic health record automatic creation system that embodiment 5 is learnt based on artificial intelligence；
Fig. 6 is the structured flowchart for doctor's electronic health record automatic creation system that embodiment 6 is learnt based on artificial intelligence.
Embodiment
The present invention is described in further detail with following examples below in conjunction with the accompanying drawings.
Embodiment 1
The embodiment of the present invention 1 provides a kind of doctor's electronic health record automatic creation system based on artificial intelligence study, such as Fig. 1
It is shown, including such as lower part：
Electronic health record pretreatment unit 10：For existing electronic health record is cleaned, integrate, arrange, clear up and
Pretreatment；
Electronic health record processing unit 20：For being carried out certainly to the electronic health record handled by electronic health record pretreatment unit 10
Right language processing；
Dictionary generation unit 30：For establishing disease that calls for specialized treatment or training Chinese vocabulary bank based on the electronic health record after the processing of natural language；
Case history generation unit 40：For based on the keyword being manually entered, being searched and the keyword in Chinese vocabulary bank
The electronic health record to match, new electronic health record is generated after electronic health record is handled.
The present invention provides a kind of new doctor's electronic health record automatic creation system based on artificial intelligence study, it is possible to achieve
Disease that calls for specialized treatment or training Chinese medical input dictionary, can greatly reduce doctor and spend the time on electronic health record is write, and can be with
Automatic error-correcting and it can at least reduce by more than 90% mistake；The present invention meets 2017 editions《(the examination of electronic health record application management specification
OK)》The requirement of specification case history, new doctor or the relatively low regional whole medical treatment level of medical level of entering a profession can be improved；
And with the increase of new electronic health record in electronic health record pretreatment unit, case history that big data fitting and deep learning come out and
Prescription place that is more accurate, more perfect, needing doctor to change by hand can be less；Operation strategies are wide, and almost each doctor can
It can use.
Embodiment 2
The doctor's electronic health record automatic creation system and embodiment based on artificial intelligence study that the embodiment of the present invention 2 provides
1 is essentially identical, unlike, as shown in Fig. 2 the dictionary generation unit 30 includes such as lower part：
Medical records storage module 31：For storing based on the electronic health record after the processing of natural language；
Screening module 32：It is more than or equal to threshold for extraction access times in the electronic health record that is stored in medical records storage module 31
The high frequency vocabulary of value, the high frequency vocabulary extracted and each electronic health record stored in medical records storage module 31 is associated and right
High frequency vocabulary carries out disease that calls for specialized treatment or training classification；
Dictionary establishes module 33：Chinese medical dictionary and Chinese medical are established for the high frequency vocabulary based on said extracted
Input method, and as disease that calls for specialized treatment or training Chinese word input dictionary.
Being handled successively electronic health record to establish Chinese medical dictionary by above-mentioned module in the present invention, so as to
The progress of subsequent step；The high frequency vocabulary wherein extracted is more than or equal to the vocabulary of threshold value, threshold value for access times in electronic health record
Can be 1 or 2 or 3, depending on actual conditions, preferred threshold value is 5 in the present embodiment.
Embodiment 3
The doctor's electronic health record automatic creation system and embodiment based on artificial intelligence study that the embodiment of the present invention 3 provides
1 is essentially identical, unlike, as shown in figure 3, the electronic health record pretreatment unit 10 includes such as lower part：
Case history library module 11：For establishing disease that calls for specialized treatment or training case history storehouse based on existing electronic health record；
Data integration module 12：For the data in multiple electronic health records to be combined and deposited based on case history library module
Storage；
Data cleansing module 13：For removing noise and extraneous data in existing electronic health record；
Data transformation module 14：For based on data regularization technology that the electronics after data cleansing module 13 is cleaned is sick
Data in going through are converted to data set.
By above-mentioned module electronic health record is handled successively in the present invention and then by the data conversion in electronic health record
For data set, the data set still generally remains the integrality of data, carries out excavating in the data after reduction more efficient；Data
Stipulations technology is assembled for data cube, ties up reduction, data compression, numerical value reduction, discretization and Concept Hierarchies etc., according to reality
Depending on situation, preference data compress technique in the present embodiment.
Embodiment 4
The doctor's electronic health record automatic creation system and embodiment based on artificial intelligence study that the embodiment of the present invention 4 provides
2 is essentially identical, unlike, as shown in figure 4, the screening module 32 includes display sub-interface 321, the display sub-interface
321 are used to show the electronic health record in medical records storage module 31, and the display sub-interface 321 is provided with filter key, the screening
Key is associated with the high frequency vocabulary of disease that calls for specialized treatment or training feature.
Medical records storage module described in the present embodiment 31 includes multiple data submodules 311, each data submodule 311
Disease that calls for specialized treatment is based on for the electronic health record after electronic health record processing unit 20 is handled or training carries out classification storage.
Show that sub-interface is provided with filter key in the present invention, filter key is related to the high frequency vocabulary of disease that calls for specialized treatment or training feature
Connection, it is easy to the high frequency vocabulary of artificial screening disease that calls for specialized treatment or training feature；Medical records storage module includes multiple data submodules, per number
It is used to store the electronic health record of different disease that calls for specialized treatments or training according to submodule, is easy to the search subsequently to electronic health record, during search, first root
Corresponding data submodule is searched according to the keyword being manually entered, corresponding electronics disease is then searched in data submodule
Go through, considerably increase search speed, save the time.
Embodiment 5
The doctor's electronic health record automatic creation system and embodiment based on artificial intelligence study that the embodiment of the present invention 5 provides
1 is essentially identical, unlike, as shown in figure 5, the case history generation unit 40, which includes similar case history, finds module 41；The phase
Finding module 41 like case history includes such as lower part：
Receiving module 411：The clinical examination data being automatically imported for receiving hospital network system；
Search module 412：For being given birth to based on the keyword being manually entered and the clinical examination data being automatically imported in dictionary
The electronic health record of correlation is searched into unit 30；
First display module 413：For showing the electronic health record searched, modification button is additionally provided with display interface, is used
In the modification interface of link one for manually being modified to the electronic health record of display.
Case history generation unit described in the present embodiment 40 also regenerates module 43 including case history, and the case history regenerates
Module 43 is used to receive electronic health record newly-generated after doctor changes, and newly-generated electronic health record storage is arrived into the case history storehouse
In module 11.
Search module 412 described in the present embodiment includes such as lower part：
Case history searches submodule 4121：For being searched based on keyword and clinical examination data in dictionary generation unit 30
One group of electronic health record of degree of fitting highest, and be ranked up according to degree of fitting；
Highlight submodule 4122：For highlighted in the electronic health record that goes out in artificial selection remind which project or
Content is must to change and increase and decrease item.
The similar case history, which finds module 41, also includes such as lower part：
Trigger module 414：Start for triggering prescription searching module 415；
Prescription finds module 415：For based on electronic health record newly-generated after manual amendment in dictionary generation unit 30
The prescription to match and the course of disease are found, is shown by the first display module 413, and based on the modification button link on display interface
Prescription and the course of disease newly-generated after manual amendment are deposited for manually being modified to the prescription and the course of disease of display at one modification interface
Store up in the case history library module 11.
By the method for artificial intelligence in the present invention, according to the keyword being manually entered and the clinical examination number being automatically imported
According to search degree of fitting one group of electronic health record of highest in dictionary generation unit, and by the similar case history searched according to degree of fitting
It is ranked up, doctor can select a certain electronic health record, can protrude which project of prompting or content are in this electronic health record
Must change and increase and decrease item, to ensure that mistake will not occur for new electronic health record, doctor do on this basis it is suitably modified,
And preservation turns into new electronic health record；Similar case history fitting sort algorithm has：1) super geometric algorithm；2) united based on word frequency
Meter --- lexeme puts the search engine of weighting；3) PageRank algorithms；4) Topic-Sensitive PageRank algorithms；5)
HillTop algorithms；6) TextRank algorithm；7) text cluster (Textclustering).
Embodiment 6
The doctor's electronic health record automatic creation system and embodiment based on artificial intelligence study that the embodiment of the present invention 6 provides
1 is essentially identical, unlike, as shown in fig. 6, the case history generation unit 40 includes electronic health record automatically-generating module 42；Institute
Stating electronic health record automatically-generating module 42 includes such as lower part：
Model building module 421：For carrying out depth to existing electronic health record by artificial intelligence deep learning technology
Practise and establish model；
Automatically-generating module 422：For searched based on the keyword being manually entered in dictionary generation unit 30 with it is described
The electronic health record that keyword matches, new electricity is automatically generated by model building module 421 based on the electronic health record searched
Sub- case history；
Second display module 423：For showing the new electronic health record that automatically generates, be additionally provided with display interface modification by
Button, for linking a modification interface for manually being modified to the electronic health record of display.
Case history generation unit described in the present embodiment 40 also regenerates module 43 including case history, and the case history regenerates
Module 43 is used to receive electronic health record newly-generated after doctor changes, and newly-generated electronic health record storage is arrived into the case history storehouse
In module 11.
Electronic health record and prescription have been deposited, has been instructed by big data by artificial intelligence deep learning technology, study in the present invention
Practice, the automatic electronic health record and electronic prescription for writing corresponding patient is ultimately formed, with the increasing of new electronic health record caused by itself
Add, the case history and prescription that big data fitting and deep learning come out be more accurate, it is more perfect, need the place meeting that doctor changes by hand
Less, operation strategies are wide, and almost each doctor can use；Artificial intelligence deep learning technology realized by algorithm,
The algorithm of specific deep learning includes：1) AutoEncoder autocoders；2) Sparse coding sparse codings；3)
Restricted Boltzman Machine (RBM) limit Boltzmann machine；4) Deep Belief Networks (DBN) are deep
Spend belief network；5) Convolutional Neural Network (CNN) convolutional neural networks；6) Recognition with Recurrent Neural Network
(RNN)；7) recurrent neural network (RNN)；9) shot and long term memory Recognition with Recurrent Neural Network (LSTM-RNN) 10) TensorFlow,
The document creation system of the instruments such as Keras, Theano, Deeplearning4J.
Embodiment 5 and embodiment 6 are the scheme of two kinds of different generation electronic health records, and two schemes respectively have its advantage, adopted
Electronic health record is generated depending on actual conditions with for which kind of scheme.
Embodiment described above is only that the preferred embodiment of the present invention is described, and not the scope of the present invention is entered
Row limits, and on the premise of design spirit of the present invention is not departed from, those of ordinary skill in the art make to technical scheme
The various modifications gone out and improvement, it all should fall into the protection domain of claims of the present invention determination.
Claims (10)
1. a kind of doctor's electronic health record automatic creation system based on artificial intelligence study, it is characterised in that including such as lower part：
Electronic health record pretreatment unit (10)：For being cleaned, being integrated, being arranged, being cleared up and in advance to existing electronic health record
Processing；
Electronic health record processing unit (20)：For being carried out certainly to the electronic health record by electronic health record pretreatment unit (10) processing
Right language processing；
Dictionary generation unit (30)：For establishing disease that calls for specialized treatment or training Chinese vocabulary bank based on the electronic health record after the processing of natural language；
Case history generation unit (40)：For based on the keyword being manually entered, being searched and the keyword phase in Chinese vocabulary bank
The electronic health record of matching, new electronic health record is generated after electronic health record is handled.
2. doctor's electronic health record automatic creation system according to claim 1 based on artificial intelligence study, its feature exist
In the dictionary generation unit (30) includes such as lower part：
Medical records storage module (31)：For storing based on the electronic health record after the processing of natural language；
Screening module (32)：It is more than or equal to threshold for extraction access times in the electronic health record that is stored in medical records storage module (31)
The high frequency vocabulary of value, the high frequency vocabulary extracted is associated with each electronic health record of storage in medical records storage module (31), and
Disease that calls for specialized treatment or training classification are carried out to high frequency vocabulary；
Dictionary establishes module (33)：Chinese medical dictionary is established for the high frequency vocabulary based on said extracted and Chinese medical is defeated
Enter method, and as disease that calls for specialized treatment or training Chinese word input dictionary.
3. doctor's electronic health record automatic creation system according to claim 1 based on artificial intelligence study, its feature exist
In the electronic health record pretreatment unit (10) includes such as lower part：
Case history library module (11)：For establishing disease that calls for specialized treatment or training case history storehouse based on existing electronic health record；
Data integration module (12)：For the data in multiple electronic health records to be combined and stored based on case history library module；
Data cleansing module (13)：For removing noise and extraneous data in existing electronic health record；Data transformation module (14)：
For the data in the electronic health record after data cleansing module (13) cleaning to be converted into data based on data regularization technology
Collection.
4. doctor's electronic health record automatic creation system according to claim 2 based on artificial intelligence study, its feature exist
In the screening module (32) includes display sub-interface (321), and the display sub-interface (321) is used to show medical records storage mould
Electronic health record in block (31), the display sub-interface (321) are provided with filter key, the filter key and disease that calls for specialized treatment or training feature
High frequency vocabulary be associated.
5. doctor's electronic health record automatic creation system according to claim 2 based on artificial intelligence study, its feature exist
In the medical records storage module (31) includes multiple data submodules (311), and each data submodule (311) is used for electricity
Electronic health record after sub- case history processing unit (20) processing is based on disease that calls for specialized treatment or training carries out classification storage.
6. doctor's electronic health record automatic creation system according to claim 1 based on artificial intelligence study, its feature exist
In the case history generation unit (40) includes similar case history and finds module (41)；The similar case history, which finds module (41), to be included
Such as lower part：
Receiving module (411)：The clinical examination data being automatically imported for receiving hospital network system；
Search module (412)：For being generated based on the keyword being manually entered and the clinical examination data being automatically imported in dictionary
Related electronic health record is searched in unit (30)；
First display module (413)：For showing the electronic health record searched, modification button is additionally provided with display interface, is used for
The modification interface of link one to the electronic health record of display for manually modifying.
7. doctor's electronic health record automatic creation system according to claim 1 based on artificial intelligence study, its feature exist
In the case history generation unit (40) includes electronic health record automatically-generating module (42)；The electronic health record automatically-generating module
(42) such as lower part is included：
Model building module (421)：For carrying out deep learning to existing electronic health record by artificial intelligence deep learning technology
And establish model；
Automatically-generating module (422)：For searched based on the keyword being manually entered in the dictionary generation unit (30) with it is described
The electronic health record that keyword matches, automatically generated based on the electronic health record searched by model building module (421) new
Electronic health record；
Second display module (423)：For showing the new electronic health record that automatically generates, be additionally provided with display interface modification by
Button, for linking a modification interface for manually being modified to the electronic health record of display.
8. doctor's electronic health record automatic creation system according to claim 1 based on artificial intelligence study, its feature exist
In the case history generation unit (40) also regenerates module (43) including case history, and the case history regenerates module (43) use
The newly-generated electronic health record after doctor's modification is received, and the case history library module (11) is arrived into newly-generated electronic health record storage
In.
9. doctor's electronic health record automatic creation system according to claim 6 based on artificial intelligence study, its feature exist
In the search module (412) includes such as lower part：
Case history searches submodule (4121)：For being searched based on keyword and clinical examination data in dictionary generation unit (30)
One group of electronic health record of degree of fitting highest, and be ranked up according to degree of fitting；
Highlight submodule (4122)：Which project or interior reminded for being highlighted in the electronic health record that goes out in artificial selection
Appearance is must to change and increase and decrease item.
10. doctor's electronic health record automatic creation system according to claim 6 based on artificial intelligence study, its feature exist
In the similar case history, which finds module (41), also includes such as lower part：Trigger module (414)：Module is found for triggering prescription
(415) start；
Prescription finds module (415)：For based on electronic health record newly-generated after manual amendment in dictionary generation unit (30)
The prescription to match and the course of disease are found, is shown by the first display module (413), and based on the modification button chain on display interface
A modification interface is connect for manually being modified to the prescription and the course of disease of display, and by prescription and the course of disease newly-generated after manual amendment
Store in the case history library module (11).
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| CN113764057A (en) * | 2020-06-01 | 2021-12-07 | 韩美营销集团 | Method and device for generating diagnosis prescription |
| CN112700832A (en) * | 2021-01-06 | 2021-04-23 | 北京左医科技有限公司 | Personalized electronic case generation method and system |
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