CN109087689A - Famous physician diagnostic message collection system, method and terminal - Google Patents
Famous physician diagnostic message collection system, method and terminal Download PDFInfo
- Publication number
- CN109087689A CN109087689A CN201810787966.2A CN201810787966A CN109087689A CN 109087689 A CN109087689 A CN 109087689A CN 201810787966 A CN201810787966 A CN 201810787966A CN 109087689 A CN109087689 A CN 109087689A
- Authority
- CN
- China
- Prior art keywords
- interrogation
- information
- module
- data
- tongue
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims description 35
- 238000012545 processing Methods 0.000 claims abstract description 55
- 230000036541 health Effects 0.000 claims abstract description 41
- 238000012795 verification Methods 0.000 claims abstract description 26
- 230000004044 response Effects 0.000 claims abstract description 9
- 230000011218 segmentation Effects 0.000 claims description 20
- 230000015654 memory Effects 0.000 claims description 15
- 238000011156 evaluation Methods 0.000 claims description 7
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 238000013135 deep learning Methods 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 claims description 4
- 238000003909 pattern recognition Methods 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims 2
- 239000003814 drug Substances 0.000 description 16
- 230000008569 process Effects 0.000 description 15
- 201000010099 disease Diseases 0.000 description 12
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 12
- 230000006870 function Effects 0.000 description 10
- 230000002093 peripheral effect Effects 0.000 description 10
- 238000004891 communication Methods 0.000 description 9
- 238000003745 diagnosis Methods 0.000 description 8
- 229940079593 drug Drugs 0.000 description 7
- 208000024891 symptom Diseases 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 5
- 238000013461 design Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 4
- 230000018109 developmental process Effects 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000033001 locomotion Effects 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000007418 data mining Methods 0.000 description 2
- 238000012217 deletion Methods 0.000 description 2
- 230000037430 deletion Effects 0.000 description 2
- 208000011580 syndromic disease Diseases 0.000 description 2
- 238000002560 therapeutic procedure Methods 0.000 description 2
- 206010000087 Abdominal pain upper Diseases 0.000 description 1
- 206010037660 Pyrexia Diseases 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 238000013475 authorization Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000000969 carrier Substances 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000002405 diagnostic procedure Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 206010016766 flatulence Diseases 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 210000003127 knee Anatomy 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 230000005055 memory storage Effects 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008506 pathogenesis Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 210000002784 stomach Anatomy 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 230000007474 system interaction Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
-
- 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
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/40—ICT specially adapted for the handling or processing of medical references relating to drugs, e.g. their side effects or intended usage
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Computational Linguistics (AREA)
- Physics & Mathematics (AREA)
- Primary Health Care (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Epidemiology (AREA)
- Medical Informatics (AREA)
- Artificial Intelligence (AREA)
- Public Health (AREA)
- Medicinal Chemistry (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Chemical & Material Sciences (AREA)
- Pharmacology & Pharmacy (AREA)
- Toxicology (AREA)
- Human Computer Interaction (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The present invention provides a kind of famous physician diagnostic message collection system, it is characterized in that, it include: authentication module, the authentication module includes multiple presupposed informations, authentication module is arranged for needing verification information compared with presupposed information pair, when verification information is consistent with presupposed information, it is verified；When verification information and presupposed information are inconsistent, verifying does not pass through；Data reception module, be configured in response to after the information that is verified for receiving externally input interrogation data；Identification module is arranged for being converted to standard medical interrogation problem to received interrogation data identifying processing；Processing module is configured to by the standard medical interrogation problem log in electronic health record, and generates prescription information.The present invention can match according to typing voice in the medical interview problem set in identification module, automatically generate prescription information, improve reliability and professional.
Description
Technical field
The present invention relates to a kind of famous physician diagnostic message collection system, method and terminals, and in particular to one kind is based on voice
Famous physician diagnostic message collection system, terminal and the method for input and tongue as picture.
Background technique
Traditional Chinese medicine has thousands of years of history, and a large amount of tcm clinical practice medical record is one of its main carriers.Especially name is old
Tcm clinical practice medical record is especially precious, wherein the card that faces for containing distinguished veteran doctors of TCM is analyzed mentally feature and prescriptions experience, centering medical professionals
Author has biggish reference value.
In recent years, with the development of information technology, data mining technology is in traditional Chinese medical science field, especially in distinguished veteran doctors of TCM diagnosis and treatment
Application in the work of experience Research on Mining is increasingly becoming hot spot.Middle Medical Records is by the cause of disease, the interpretation of the cause, onset and process of an illness, symptom, syndrome, diagnosis, therapy
And the composition such as recipe, it is a complicated entirety, but wherein also have implicit rule and connection.Association rules method is logical
Cross between disease of tcm, syndrome and recipe, between etiology and pathogenesis, therapy and recipe and prescription rule between relationship divide
Analysis, in the regularity of occurrence and development for disclosing disease, can find the clinical characteristic of disease treatment, recognize the characteristics of Chinese medicinal formulae compatibility etc.
Aspect.
By clinical practice in thousands of years, it was confirmed that Chinese traditional Chinese medicine either cure the disease it is upper, in diseases prevention, still
It is all conclusive effective and feasible in health.Some scholars think that Chinese medicine has not caught up with the development of epoch sophisticated technologies,
" old sickly person " is boiled medicine and is also being used, and conclusive scientific experiment foundation is also cannot take out in the diagnosis of Chinese medicine four diagnostic methods, with science into
The continuous renewal of step and people's thinking ideas, whether Chinese medicine is scientific, and whether Chinese medicine effectively receives serious query actually, even
Some scholars propose to abolish Chinese medicine.At this stage with the development of the times, the progress of Chinese medicine is more and more slower, for theory of traditional Chinese medical science
Research stagnation.Due to being influenced by various factors, more and more old docter of TCM doctors retirement or could not be by number before passing away
The experience of accumulation in 10 years is passed on and is developed.It can be when traditional Chinese medical doctor carries out diagnosis process therefore, it is necessary to design one kind
The system that procedural information is acquired is diagnosed, in case carrying out analysis and research use in the future.
Existing tcm diagnosis information collection scheme requires doctor to start mounted medical record program in computer, later
It is manually entered case history content in the electronic health record template that medical record program provides, and is stored as the electronic health record of patient.
Structured electronic patient record, which has to automatically track, to be found as a result, carrying out accurate disease collect statistics and efficient disease
The advantages that going through retrieval, most hospitals have used to be combined by mouse-keyboard, and it is unstructured interior to click edit structure content, supplement
The mode of appearance generates structuring, semi-structured electronic health record, but this input mode is time-consuming, cumbersome.In addition, part is cured
Institute's voice input electronic health record by the way of plug-in phonitic entry method, but what this mode generated is pure natural language
Case history, the advantages of being lost structured electronic patient record.
And the mode of existing voice input electronic health record, it cannot be carried out in the actual operation process according to the voice of typing
Deep learning and processing are converted to text, it sometimes appear that the voice of typing cannot open or open in opening procedure it is relatively time consuming
Between.And the case history cannot connect the prescription information automatically generated for the state of an illness with evaluation system.
Summary of the invention
It is an object of that present invention to provide one kind the voice to be converted to text automatically according to the content of typing, the language
Sound combination tongue is as Automatic generation of information is for the famous physician diagnostic message collection method of the prescription information of the state of an illness.
At the same time the present invention also provides a kind of tcm diagnosis Information Collection System and terminal, the system and terminal can
Voice messaging during interrogation will be converted to quickly to the text information of electronic health record, and voice messaging can be carried out deep
The processing of degree reduces the time of manual entry electronic health record, and the recording can be stored in terminal.
A kind of famous physician diagnostic message collection system, comprising:
Authentication module, the authentication module include multiple presupposed informations, and authentication module is configured to
For verification information will to be needed when verification information is consistent with presupposed information, to be verified compared with presupposed information pair；Work as verifying
When information and presupposed information are inconsistent, verifying does not pass through；
Data reception module, be configured in response to after the information that is verified for receiving externally input interrogation number
According to；
Tongue is as acquisition module, for acquiring the tongue of patient as information, and by collected tongue as information data is sent to place
Manage module；
Identification module is arranged for being converted to standard medical interrogation problem to received interrogation data identifying processing；
Processing module is configured to by the standard medical interrogation problem log in electronic health record, described for receiving
The tongue that tongue is sent as acquisition module is as information data and is stored in electronic health record；
Evaluation module is configured to generate the prescription information for being directed to the illness according to the content of electronic health record.
Further, aforementioned data receiving module includes:
Speech recognition module is arranged for obtaining the interrogation voice of user's input, carries out text conversion, obtain interrogation
Data.
Further, aforementioned identification module includes: interrogation issue database, and being configured to be built with illness is guiding
Standard medical interrogation problem set；
Wherein, the speech recognition module is configured to the interrogation voice according to input, from the standard medical interrogation problem
Data Kuku carries out Keywords matching identification, generates standard medical interrogation problem.
Further, aforementioned voice identification module includes Word Intelligent Segmentation module and pattern recognition module, Word Intelligent Segmentation mould
Block is used to carry out interrogation data word segmentation processing, and pattern recognition module is used to carry out Keywords matching identification to word segmentation result, raw
At standard medical interrogation problem.
Further, aforementioned interrogation issue database is also built with synonymous interrogation problem set.
A kind of famous physician diagnostic message collection method, this method comprises:
Identity information is verified, verification information will be needed compared with presupposed information pair, when verification information is consistent with presupposed information
When, it is verified；When verification information and presupposed information are inconsistent, verifying does not pass through；
In response to after the information that is verified for receiving externally input interrogation data；
For acquiring the tongue of patient as information, and by collected tongue as information data is sent to processing module；
To received interrogation data identifying processing, standard medical interrogation problem is converted to；
By the standard medical interrogation problem log in electronic health record, the tongue picture that the tongue is sent as acquisition module is received
Information data is simultaneously stored in electronic health record；
The prescription information for being directed to the illness is generated according to the content of electronic health record.
Further, preceding method includes:
Semantics recognition processing is carried out to interrogation data, including the Word Intelligent Segmentation processing to interrogation data and to word segmentation processing
As a result keyword identifying processing is carried out, Keywords matching identification is carried out from an interrogation issue database, generates standard medical interrogation
Problem；
Wherein, it is the standard medical interrogation problem set being oriented to that the interrogation issue database, which is built with illness,.
Further, aforementioned interrogation issue database is also built with synonymous interrogation problem set.
Further, aforementioned interrogation issue database is built with keywords database, thesaurus and semantics recognition pattern base,
System using when identified using deep learning mode.
A kind of famous physician diagnostic message collection terminal, comprising:
Display screen；
Loudspeaker；
Microphone；
Memory；
Camera；
One or more processors；
One or more modules, the one or more module are stored in the memory and are configured to by described one
A or multiple processors execute, and one or more of modules include executing the instruction set of following processing:
Identity information is verified, verification information will be needed compared with presupposed information pair, when verification information is consistent with presupposed information
When, it is verified；When verification information and presupposed information are inconsistent, verifying does not pass through；
In response to after the information that is verified for receiving externally input interrogation data；
The tongue of patient is acquired as information, and by collected tongue as information data is sent to processing module；
To received interrogation data identifying processing, standard medical interrogation problem is converted to；
By the standard medical interrogation problem log in electronic health record, the tongue picture that the tongue is sent as acquisition module is received
Information data is simultaneously stored in electronic health record；
The prescription information for being directed to the illness is generated according to the content of electronic health record.
By the above technology contents it is found that the beneficial effects of the present invention are:
It can carry out the judgement of the state of an illness, and the energy in implementation process as information in conjunction with typing voice and tongue in use
Enough voices by typing are combined by speech recognition module in identification module and interrogation issue database, improve interrogation
The convenience of data input.
And identification module includes: interrogation issue database, is configured to be built with and be asked with the standard medical that illness is guiding
Examine problem set；Wherein, the speech recognition module is configured to the interrogation voice according to input, from the standard medical interrogation problem
Data Kuku carries out Keywords matching identification, generates standard medical interrogation problem.It can be according to typing voice in identification module
Medical interview problem set match, automatically generate electronic health record, improve the reliability and professional of electronic health record record, and
Evaluation module can automatically generate the prescription information for the illness in conjunction with electronic health record.
It should be appreciated that as long as aforementioned concepts and all combinations additionally conceived described in greater detail below are at this
It can be viewed as a part of the subject matter of the disclosure in the case that the design of sample is not conflicting.In addition, required guarantor
All combinations of the theme of shield are considered as a part of the subject matter of the disclosure.
Can be more fully appreciated from the following description in conjunction with attached drawing present invention teach that the foregoing and other aspects, reality
Apply example and feature.The features and/or benefits of other additional aspects such as illustrative embodiments of the invention will be below
Description in it is obvious, or learnt in practice by the specific embodiment instructed according to the present invention.
Detailed description of the invention
Attached drawing is not intended to drawn to scale.In the accompanying drawings, identical or nearly identical group each of is shown in each figure
It can be indicated by the same numeral at part.For clarity, in each figure, not each component part is labeled.
Now, example will be passed through and the embodiments of various aspects of the invention is described in reference to the drawings, in which:
Fig. 1 is the exemplary process flow figure of famous physician diagnostic message collection method.
Fig. 2 is the exemplary system block diagram of famous physician diagnostic message collection system.
Fig. 3 is the exemplary system block diagram of famous physician diagnostic message collection terminal.
Specific embodiment
In order to better understand the technical content of the present invention, special to lift specific embodiment and institute's accompanying drawings is cooperated to be described as follows.
Various aspects with reference to the accompanying drawings to describe the present invention in the disclosure, shown in the drawings of the embodiment of many explanations.
It is not intended to cover all aspects of the invention for embodiment of the disclosure.It should be appreciated that a variety of designs and reality presented hereinbefore
Those of apply example, and describe in more detail below design and embodiment can in many ways in any one come it is real
It applies, this is because conception and embodiment disclosed in this invention are not limited to any embodiment.In addition, disclosed by the invention one
A little aspects can be used alone, or otherwise any appropriately combined use with disclosed by the invention.
Some embodiments of the present invention provide novel famous physician diagnostic message collection system, in some schemes, should
System can be deployed in handheld terminal (mobile terminal), PC computer (such as desktop PC terminal, PC terminal on knee), cloud service
In the terminals such as device, robot or equipment, broadcast by display screen (especially touch-sensitive display screen), voice capture device, audio
It puts equipment, mouse, keyboard and other types interactive device and carries out system interaction, realize the automatic input of interrogation voice, improve
Case history efficiency of inputting.
Electronic health record function can be by the key of external trigger or automatic/active Trigger Function of inner setting, will
The electronic health record of patient is saved according to the rule of setting.
Fig. 1 illustratively illustrates the method that tcm diagnosis information is collected, and it comprises following processes, verifies identity letter
Breath will need verification information when verification information is consistent with presupposed information, to be verified compared with presupposed information pair；Work as verifying
When information and presupposed information are inconsistent, verifying does not pass through；In response to after the information that is verified for receiving externally input ask
Examine data.
After being verified, authentication module, the authentication module includes multiple verification informations, wherein described
Verification information can be the authorization message of doctor, or the information of the patient of interrogation, wherein when the verification information is to see
When examining information about doctor, this sees that the electronic health record information and new electronic health record is written that it sees the people that diagnoses a disease can be opened by examining doctor only
Permission；If verification information is interrogation patient information, interrogation patient is only capable of checking the case history letter of he or she or associated family members
Breath.
Data reception module, be configured in response to after the information that is verified for receiving externally input interrogation number
According to；Interrogation data, that is, voice data carries out semantics recognition processing, is converted into the medical interview problem of standard.In some implementations
In scheme, aforementioned semantics recognition processing including the Word Intelligent Segmentation processing to interrogation data and is closed word segmentation processing result
Keyword identifying processing carries out Keywords matching identification from an interrogation issue database, generates standard medical interrogation problem.Interrogation is asked
It is the standard medical interrogation problem set being oriented to that topic database sharing, which has with illness,.
Tongue is as acquisition module, for acquiring the tongue of patient as information, and by collected tongue as information data is sent to place
Manage module；
Identification module is arranged for being converted to standard medical interrogation problem to received interrogation data identifying processing；
Processing module is configured to by the standard medical interrogation problem log in electronic health record, described for receiving
The tongue that tongue is sent as acquisition module is as information data and is stored in electronic health record；
Evaluation module is configured to generate the prescription information for being directed to the illness according to the content of electronic health record.
Wherein the evaluation module is achieved by the steps of the prescription information for generating and being directed to the illness, obtains the medical record
It is all in data to examine secondary dosage of drug data and symptom degree data；Wherein above-mentioned all dosage of drug data examined time and disease
Shape level data is automatically imported SPSS analysis software, and SPSS analyzes software during statistical analysis for the dosage of drug data
It is normalized to obtain standardization dosage of drug data, the symptom degree data is standardized to obtain standard
Change symptom degree data；Calculate all changing values for examining the standardization dosage of drug data between secondary in each medical record data
With the changing value of standardization symptom degree data, according to the changing value of the standardization dosage of drug data and symptom journey is standardized
Relationship between the changing value of degree evidence obtains the item data of each medical record data；It is dug by correlation rule data mining algorithm
The item data is dug, all dosage of drug variations and symptom degree variation examined between secondary in each medical record data are obtained
Correlation rule, evaluation module compare to generate for the disease with the specific data of this interrogation patient according to the analysis result
The prescription information of disease.
As shown in Fig. 2, in some embodiments, such as interrogation data are come with standard or the interrogation problem of relative standard
Expression, such as " may I ask your stomach flatulence since when, continue how long? ", " it may I ask and how long have a fever, highest
Temperature reaches how many? ", for another example in other examples, interrogation data are to carry out table in a manner of non-standard or incomplete standard
Reach, such as " having had a stomachache how many days? ", " where arm aches? " etc., the mode of such as non-standard or incomplete standard
Come the interrogation problem expressed, we carry out the standard interrogation problem conversion of guiding performance by the interrogation issue database of building.
In some embodiments, it is the standard medical interrogation problem set being oriented to that interrogation issue database, which is stored with illness,；
After processing of these problems collection by the modes such as sampling study or study, cluster and the standardization of medical big data, formed
The problem of taking illness as the tree-shaped, herring-bone form or other logical guides of guiding collection.
Word Intelligent Segmentation processing to interrogation data includes the Word Intelligent Segmentation processing to the text data of conversion, in some implementations
In scheme, Word Intelligent Segmentation processing by the segmentation methods such as machine learning algorithm based on dictionary segmentation methods or based on statistics into
Row Word Intelligent Segmentation extracts keyword therein, especially with respect to human body, illness, impression, time point and the pass of duration
Keyword.
Keyword identifying processing includes according to semantics recognition as a result, carrying out from the standard medical interrogation problem set library crucial
Word match cognization generates standard medical interrogation problem.In some embodiments, match cognization process above-mentioned can be according to setting
Rule carry out, for example, by using the matchings such as accurate matching, fuzzy matching (broad match), phrase match, multiple-fault diagnosis calculation
Method is matched with standard medical interrogation problem, and the standard medical interrogation problem of matching result is as final transformation result.?
In some examples, we select to match the matching result of immediate standard medical interrogation problem.
The building of aforementioned interrogation issue database, further includes keywords database and semantics recognition pattern base, during interrogation,
Identification and conversion to interrogation problem are carried out by the way of deep learning, establish synonymous near synonym, related term, alternative word, core
The dictionary of heart word, and reinforced when in use by deep learning mode, improve the adaptation range and knowledge of semantics recognition processing
Not rate.
In some optional embodiment schemes, interrogation issue database further includes synonymous interrogation problem set, is based on standard
Medical interview problem set and synonymous near synonym, related term, alternative word, core word dictionary and establish, in favor of further mentioning
The efficiency and adaptation range of height identification and conversion.
The aforementioned standard medical interrogation problem being converted to is expected to be replied by interrogation patient, to realize interrogation process
Implementation.
Judging whether, which terminates interrogation, terminates the judgement of interrogation in some embodiments, depends on complete process above-mentioned
Whether it is triggered, such as receives and see that examining doctor actively completes the information input of interrogation training, or terminated according to the interrogation of setting
The satisfaction of trigger condition, and complete interrogation process.
Client is installed, client provides recording control, which includes " recording " button), user passes through touching
Hair is somebody's turn to do the instruction that " recording " button inputs creation electronic health record to terminal, and later, terminal starts to acquire the voice of typing.Into one
Step, above-mentioned recording control include " pause " button, " stopping " button and " deletion " button, are somebody's turn to do " pause " button and are used for triggering terminal
Suspend the acquisition of voice, is somebody's turn to do " stopping " button and is used to trigger the acquisition for terminating this voice, be somebody's turn to do " deletion " button for triggering end
End terminates the acquisition of this voice and deletes the voice of current typing.
Optionally, when user triggers " recording " button, terminal starts to acquire the voice of typing, and opens up on a terminal screen
Show the audio volume control figure of real-time typing.
Optionally, terminal generates the voice document comprising typing and is stored in the voice document list of terminal local, with
Just user checks the voice document recorded in the voice document list.
Application module (or program, instruction set) in process feature and system described in above each embodiment, can quilt
It is embodied as the software process of the one group of instruction recorded on appointed readable storage medium storing program for executing (being also known as computer-readable medium).
These instruction by one or more calculate or processing unit (such as one or more processors, processor cores or
Other processing units) when executing, these instructions are such that one or more processing unit is able to carry out indicated movement
Process.The exemplary form of computer scale medium include but is not limited to CD-ROM, flash drive, random access memory (RAM),
Disc driver, Erasable Programmable Read Only Memory EPROM (EPROM), electrically erasable programmable read-only memory (EEPROM) etc..
Computer-readable medium does not include the carrier wave and electric signal for wirelessly transmitting or passing through wired connection.
It should be appreciated that " software " is intended to include residing in read-only deposit in this specification content described above and below
The application program " firmware " or " because of program " that firmware in reservoir is perhaps stored in magnetic storage can be read into storage
To be handled by processor in device.In other schemes, can while retaining different software inventions function (inventions),
Multiple software functions (invention) are embodied as to the subdivision (subprogram) of a bigger program.In other embodiments,
Multiple software functions (invention) can also be implemented to be independent program.Finally, when these independent programs, subprogram are mounted
When being run in one or more electronic systems, software program define execution and implement software program operation one or more
The specific implementation of specific machine.
The application of some embodiments (can also referred to as hold formula electronic equipment, such as intelligent movable mobile phone in mobile device
And tablet computer) on operate, this kind of other mobile devices usually have independent input/output interface, processing unit, storage
Unit, data/address bus and peripheral device interface.Fig. 3 is the exemplary architecture schematic diagram of such mobile device.Mobile device 300
Including one or more processing units, touch-sensitive display screen, loudspeaker, microphone, memory and Peripheral Interface.
Power-supply system provides power supply for entire mobile device, does not represent, and power-supply system has battery body
And charging circuit, interface and discharge circuit.
Peripheral Interface is coupled to various sensors and subsystem, and the subsystem includes camera sub-system, wireless communication
System, audio subsystem, I/O subsystem etc..The communication between processing unit and each peripheral equipment may be implemented in Peripheral Interface,
Such as motion sensor (such as gyroscope) or positioning device (such as GPS device) are coupled to Peripheral Interface, to promote to move
The control and work of sensor, positioning device, and obtain operational data (such as attitude data, position data).
Radio communication subsystem is coupled to Peripheral Interface, and radio communication subsystem is for promoting communication function in some implementations
In example, radio communication subsystem includes radiofrequency launcher and receiver and optical receiver and transmitter.In some schemes
In, these transmitters and receiver are provided as working on one or more communication networks, such as GSM, CDMA, Wi-Fi,
Bluetooth network etc..
Audio subsystem is coupled to loudspeaker to export voice (for example, the voice feedback content for exporting digital patient), separately
Outside, audio subsystem is coupled to microphone to support the function of voice, voice collecting and identification, digital record etc..
I/O subsystem be related to input/output peripheral equipment (such as touch screen, display) and processing unit data/address bus it
Between pass through the transmission of Peripheral Interface.I/O subsystem includes touch-control screen controller and other input controllers, defeated to be conducive to
Enter/export the transmission between peripheral equipment and the data/address bus of processing unit.
As shown in figure 3, touch-control screen controller is coupled to touch screen.Touch-control screen controller can be using a variety of touch-sensitive control senses
One of technology is known to detect the contact and movement on touch screen.Other input controllers are coupled to other output/controls and set
It is standby, such as one or more buttons, such as start button, pause button, conclusion button etc..
Memory Controller idol box memory.In some schemes, memory include volatile memory, it is non-volatile
Memory or their combination and/or other any type of memories.Memory storage program area (OS).Operation system
System includes the instruction for handling basic system services and for executing hardware dependent tasks.Memory further include: promote one
Or the communication instruction of multiple optional equipment communications；Promote the GUI instruction of graphic user interface processing；Promote image relevant treatment and
The image processing commands of function；Promote the input processing instruction of input relevant treatment (such as touch)；Promote audio relevant treatment
Audio processing instruction；Promote the camera instruction of the relevant process of camera and function.Above-mentioned instruction is only exemplary,
In some embodiments, memory can also include additional other instructions ,if needed, such as promote at the call conversed
Reason instruction.
Above the identified instruction does not need to realize as independent software program or mould group.In some embodiments
In, such as in software and/or hardware, mobile device is realized including one or more signal processings or professional integrated circuit
Various functions.
The generation system of the aforementioned disclosed electronic health record of the present invention can be individually deployed on this independent Terminal Type.
From the above technical scheme, and in implementation process the voice of typing can be passed through the voice in identification module
Identification module and interrogation issue database are combined, and improve the convenience of interrogation data input.
And identification module includes: interrogation issue database, is configured to be built with and be asked with the standard medical that illness is guiding
Examine problem set；Wherein, the speech recognition module is configured to the interrogation voice according to input, from the standard medical interrogation problem
Data Kuku carries out Keywords matching identification, generates standard medical interrogation problem.It can be according to typing voice in identification module
Medical interview problem set match, automatically generate electronic health record, improve the reliability and professional of electronic health record record.
Although the present invention has been disclosed as a preferred embodiment, however, it is not to limit the invention.Skill belonging to the present invention
Has usually intellectual in art field, without departing from the spirit and scope of the present invention, when can be used for a variety of modifications and variations.Cause
This, the scope of protection of the present invention is defined by those of the claims.
Claims (10)
1. a kind of famous physician diagnostic message collection system characterized by comprising
Authentication module, the authentication module include multiple presupposed informations, and authentication module is arranged for
Verification information will be needed when verification information is consistent with presupposed information, to be verified compared with presupposed information pair；Work as verification information
When inconsistent with presupposed information, verifying does not pass through；
Data reception module, be configured in response to after the information that is verified for receiving externally input interrogation data；
Tongue is as acquisition module, for acquiring the tongue of patient as information, and by collected tongue as information data is sent to processing mould
Block；
Identification module is arranged for being converted to standard medical interrogation problem to received interrogation data identifying processing；
Processing module is configured to by the standard medical interrogation problem log in electronic health record, for receiving the tongue picture
The tongue that acquisition module is sent as information analysis and is stored in electronic health record；
Evaluation module is configured to generate the prescription information for being directed to the illness according to the content of electronic health record.
2. famous physician diagnostic message collection system according to claim 1, which is characterized in that the data reception module packet
It includes:
Speech recognition module is arranged for obtaining the interrogation voice of user's input, carries out text conversion, obtain interrogation number
According to.
3. famous physician diagnostic message collection system according to claim 2, which is characterized in that the identification module includes:
Interrogation issue database, being configured to be built with illness is the standard medical interrogation problem set being oriented to；
Wherein, the speech recognition module is configured to the interrogation voice according to input, from the standard medical interrogation problem data
Kuku carries out Keywords matching identification, generates standard medical interrogation problem.
4. famous physician diagnostic message collection system according to claim 3, which is characterized in that the speech recognition module packet
Word Intelligent Segmentation module and pattern recognition module are included, Word Intelligent Segmentation module is used to carry out interrogation data word segmentation processing, and mode is known
Other module is used to carry out Keywords matching identification to word segmentation result, generates standard medical interrogation problem.
5. famous physician diagnostic message collection system according to claim 3, which is characterized in that the interrogation issue database
Also it is built with synonymous interrogation problem set.
6. a kind of famous physician diagnostic message collection method, which is characterized in that the described method includes:
Identity information is verified, verification information will be needed when verification information is consistent with presupposed information, to test compared with presupposed information pair
Card passes through；When verification information and presupposed information are inconsistent, verifying does not pass through；
In response to after the information that is verified for receiving externally input interrogation data；
For acquiring the tongue of patient as information, and by collected tongue as information data is sent to processing module；
To received interrogation data identifying processing, standard medical interrogation problem is converted to；
By the standard medical interrogation problem log in electronic health record, tongue that the tongue is sent as acquisition module is received as information
Data are simultaneously stored in electronic health record；
The prescription information for being directed to the illness is generated according to the content of electronic health record.
7. famous physician diagnostic message collection method according to claim 6 characterized by comprising
Semantics recognition processing is carried out to interrogation data, including the Word Intelligent Segmentation processing to interrogation data and to word segmentation processing result
Keyword identifying processing is carried out, Keywords matching identification is carried out from an interrogation issue database, generates standard medical interrogation problem；
Wherein, it is the standard medical interrogation problem set being oriented to that the interrogation issue database, which is built with illness,.
8. famous physician diagnostic message collection method according to claim 7, which is characterized in that interrogation issue database also structure
Have synonymous interrogation problem set.
9. famous physician diagnostic message collection method according to claim 8, which is characterized in that the interrogation issue database
Be built with keywords database, thesaurus and semantics recognition pattern base, system using when known using deep learning mode
Not.
10. a kind of famous physician diagnostic message collection terminal characterized by comprising
Display screen；
Loudspeaker；
Microphone；
Memory；
Camera；
One or more processors；
One or more modules, the one or more module be stored in the memory and be configured to by one or
Multiple processors execute, and one or more of modules include executing the instruction set of following processing:
Identity information is verified, verification information will be needed when verification information is consistent with presupposed information, to test compared with presupposed information pair
Card passes through；When verification information and presupposed information are inconsistent, verifying does not pass through；
In response to after the information that is verified for receiving externally input interrogation data；
The tongue of patient is acquired as information, and by collected tongue as information data is sent to processing module；
To received interrogation data identifying processing, standard medical interrogation problem is converted to；
By the standard medical interrogation problem log in electronic health record, tongue that the tongue is sent as acquisition module is received as information
Data are simultaneously stored in electronic health record；
The prescription information for being directed to the illness is generated according to the content of electronic health record.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2018107759764 | 2018-07-16 | ||
| CN201810775976 | 2018-07-16 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109087689A true CN109087689A (en) | 2018-12-25 |
Family
ID=64837642
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810787966.2A Pending CN109087689A (en) | 2018-07-16 | 2018-07-18 | Famous physician diagnostic message collection system, method and terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109087689A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109830306A (en) * | 2019-03-13 | 2019-05-31 | 天津红康云健康科技有限公司 | A kind of intelligent sound evolution system based on sound groove recognition technology in e |
| CN109859811A (en) * | 2018-12-29 | 2019-06-07 | 北京天鹏恒宇科技发展有限公司 | A kind of patient medical history intelligent input system |
| CN109887557A (en) * | 2018-12-29 | 2019-06-14 | 北京天鹏恒宇科技发展有限公司 | A kind of pre- interrogation system of intelligent sound |
| CN110993041A (en) * | 2019-11-04 | 2020-04-10 | 广州中医药大学(广州中医药研究院) | Intelligent traditional Chinese medicine doctor seeing platform |
| CN111863254A (en) * | 2020-06-03 | 2020-10-30 | 四川大学华西医院 | Method, system and equipment for evaluating inquiry and physical examination based on simulated patient |
| CN112581817A (en) * | 2021-02-25 | 2021-03-30 | 江苏省捷达软件工程有限公司 | Traditional Chinese medicine teacher medical education auxiliary system and use method |
| CN116884648A (en) * | 2023-05-23 | 2023-10-13 | 深圳汇医必达医疗科技有限公司 | Voice interaction optimization method, device, equipment and medium based on traditional Chinese medicine inquiry |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW201040756A (en) * | 2009-05-14 | 2010-11-16 | Heng-Hong Zhang | Chinese medicine intelligent formulary system |
| CN102654890A (en) * | 2011-01-24 | 2012-09-05 | 阮刚 | Novel method, flow and device for patient diagnosing and healthy adjusting platform |
| CN103258138A (en) * | 2013-05-28 | 2013-08-21 | 美合实业（苏州）有限公司 | Central inquiring system |
| CN104376228A (en) * | 2014-12-08 | 2015-02-25 | 瞿年清 | Intelligent auxiliary traditional Chinese medicine diagnosis and treatment apparatus |
| CN104573350A (en) * | 2014-12-26 | 2015-04-29 | 深圳市前海安测信息技术有限公司 | System and method for general practitioner auxiliary diagnosis and therapy based on network hospital |
| US20160140316A1 (en) * | 2013-05-17 | 2016-05-19 | The Regents Of The University Of California | Systems and methods for automatically evaluating medical patient symptoms and providing tailored prescriptions |
| CN106066947A (en) * | 2016-07-14 | 2016-11-02 | 广州宝荣科技应用有限公司 | A kind of prescriptions of Chinese medicine management system and prescription method for pushing |
| CN106419864A (en) * | 2015-08-05 | 2017-02-22 | 南开大学 | Cloud expert system for TCM diagnosis |
| CN106650261A (en) * | 2016-12-22 | 2017-05-10 | 上海智臻智能网络科技股份有限公司 | Intelligent inquiry method, device and system |
| CN107066814A (en) * | 2017-03-09 | 2017-08-18 | 南京邮电大学 | A kind of traditional Chinese medical science intelligent auxiliary diagnosis system cooperateed with based on the four methods of diagnosis |
| CN107242857A (en) * | 2017-06-12 | 2017-10-13 | 南开大学 | The intelligent traditional Chinese medical science based on deep learning integrates diagnosis and therapy system |
| CN107247868A (en) * | 2017-05-18 | 2017-10-13 | 深思考人工智能机器人科技（北京）有限公司 | A kind of artificial intelligence aids in interrogation system |
| CN108154934A (en) * | 2017-12-20 | 2018-06-12 | 华子昂 | Database Systems based on intelligent traditional Chinese medical science robot |
-
2018
- 2018-07-18 CN CN201810787966.2A patent/CN109087689A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW201040756A (en) * | 2009-05-14 | 2010-11-16 | Heng-Hong Zhang | Chinese medicine intelligent formulary system |
| CN102654890A (en) * | 2011-01-24 | 2012-09-05 | 阮刚 | Novel method, flow and device for patient diagnosing and healthy adjusting platform |
| US20160140316A1 (en) * | 2013-05-17 | 2016-05-19 | The Regents Of The University Of California | Systems and methods for automatically evaluating medical patient symptoms and providing tailored prescriptions |
| CN103258138A (en) * | 2013-05-28 | 2013-08-21 | 美合实业（苏州）有限公司 | Central inquiring system |
| CN104376228A (en) * | 2014-12-08 | 2015-02-25 | 瞿年清 | Intelligent auxiliary traditional Chinese medicine diagnosis and treatment apparatus |
| CN104573350A (en) * | 2014-12-26 | 2015-04-29 | 深圳市前海安测信息技术有限公司 | System and method for general practitioner auxiliary diagnosis and therapy based on network hospital |
| CN106419864A (en) * | 2015-08-05 | 2017-02-22 | 南开大学 | Cloud expert system for TCM diagnosis |
| CN106066947A (en) * | 2016-07-14 | 2016-11-02 | 广州宝荣科技应用有限公司 | A kind of prescriptions of Chinese medicine management system and prescription method for pushing |
| CN106650261A (en) * | 2016-12-22 | 2017-05-10 | 上海智臻智能网络科技股份有限公司 | Intelligent inquiry method, device and system |
| CN107066814A (en) * | 2017-03-09 | 2017-08-18 | 南京邮电大学 | A kind of traditional Chinese medical science intelligent auxiliary diagnosis system cooperateed with based on the four methods of diagnosis |
| CN107247868A (en) * | 2017-05-18 | 2017-10-13 | 深思考人工智能机器人科技（北京）有限公司 | A kind of artificial intelligence aids in interrogation system |
| CN107242857A (en) * | 2017-06-12 | 2017-10-13 | 南开大学 | The intelligent traditional Chinese medical science based on deep learning integrates diagnosis and therapy system |
| CN108154934A (en) * | 2017-12-20 | 2018-06-12 | 华子昂 | Database Systems based on intelligent traditional Chinese medical science robot |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109859811A (en) * | 2018-12-29 | 2019-06-07 | 北京天鹏恒宇科技发展有限公司 | A kind of patient medical history intelligent input system |
| CN109887557A (en) * | 2018-12-29 | 2019-06-14 | 北京天鹏恒宇科技发展有限公司 | A kind of pre- interrogation system of intelligent sound |
| CN109830306A (en) * | 2019-03-13 | 2019-05-31 | 天津红康云健康科技有限公司 | A kind of intelligent sound evolution system based on sound groove recognition technology in e |
| CN110993041A (en) * | 2019-11-04 | 2020-04-10 | 广州中医药大学(广州中医药研究院) | Intelligent traditional Chinese medicine doctor seeing platform |
| CN111863254A (en) * | 2020-06-03 | 2020-10-30 | 四川大学华西医院 | Method, system and equipment for evaluating inquiry and physical examination based on simulated patient |
| CN111863254B (en) * | 2020-06-03 | 2023-09-26 | 四川大学华西医院 | Method, system and equipment for evaluating questioning and examining body based on simulated patient |
| CN112581817A (en) * | 2021-02-25 | 2021-03-30 | 江苏省捷达软件工程有限公司 | Traditional Chinese medicine teacher medical education auxiliary system and use method |
| CN116884648A (en) * | 2023-05-23 | 2023-10-13 | 深圳汇医必达医疗科技有限公司 | Voice interaction optimization method, device, equipment and medium based on traditional Chinese medicine inquiry |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109087689A (en) | Famous physician diagnostic message collection system, method and terminal | |
| WO2021215736A1 (en) | Artificial intelligent system for providing unmanned diagnosis service of infectious diseases | |
| CN110390841A (en) | Interrogation training method, terminal and the system of digital patient | |
| JP2021529382A (en) | Systems and methods for mental health assessment | |
| JP2019521419A (en) | Method, apparatus, equipment and computer readable storage medium for identifying social insurance fraud | |
| CN108899064A (en) | Electronic health record generation method, device, computer equipment and storage medium | |
| CN104160441A (en) | Speaker verification in a health monitoring system | |
| CN106384590A (en) | Voice control device and voice control method | |
| CN107480450A (en) | A kind of intelligence point examines method and system | |
| EP3603148A1 (en) | Wearable devices in a controlled environment | |
| CN108935188A (en) | Pig disease identification method, apparatus and electronic equipment | |
| CN103902793A (en) | Intelligent disease diagnosis and treatment device and system | |
| CN108257676A (en) | A kind of processing method, device and the equipment of case information | |
| CN107657675A (en) | A kind of medical care is registered method and device, storage medium and medical terminal | |
| CN112331298A (en) | Method and device for issuing prescription, electronic equipment and storage medium | |
| CN110462647A (en) | The method of the function of electronic equipment and execution electronic equipment | |
| CN111651579B (en) | Information query method, device, computer equipment and storage medium | |
| Jain et al. | Mental and physical health management system using ML, computer vision and IoT sensor network | |
| CN112614559A (en) | Medical record text processing method and device, computer equipment and storage medium | |
| CN106557646A (en) | Recording medium, application program active control method and message processing device | |
| Aggarwal et al. | Voice based secured smart lock design for internet of medical things: An artificial intelligence approach | |
| CN111950234A (en) | Processing method based on intelligent medical text processing system | |
| WO2020237571A1 (en) | Medical procedure recording method, medical device, and storage medium | |
| US20170024554A1 (en) | Self-powered, portable fingerprint-activated device for audibly outputting personal data | |
| CN116959733A (en) | Medical data analysis method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |