阅读说明：本技术 一种基于大数据智能问诊系统的工作方法 (A kind of working method based on big data intelligence interrogation system ) 是由 高瞻 金博 佟晓梅 王雷 金嵩 于 2019-08-26 设计创作，主要内容包括：本发明提供一种基于大数据智能问诊系统的工作方法,包括医生资格认证、患者问诊,所述医生资格认证为医院授权医生开通问诊服务,并由CA公司认证,发放电子证书；所述患者问诊包括患者开始问诊前,通过移动终端设备输入主诉,并将所述主诉中的相关描述转换成医生可以理解的医学术语,搜索相对应的医生,再将所述相对应的医生与患者配对。本发明基于大数据平台,通过数据的不断积累会进一步提高数据分析的准确性,相比现有技术的互联网问诊准确性提高70％。本发明根据数据的逻辑运算不断扩充新的分析词汇和逻辑算法,极大的提高患者问诊效率,使问诊效率相比现有技术提升95％,降低了患者和医生间沟通成本。(The present invention provides a kind of working method based on big data intelligence interrogation system, including doctor's qualification authentication, patient's interrogation, and doctor's qualification authentication is that hospital's authorized doctor opens interrogation service, and is authenticated by CA company, provides digital certificates；Patient's interrogation includes inputting main suit by mobile terminal device, and the associated description in the main suit is converted into the medical terminology that doctor is understood that before patient starts interrogation, searches for corresponding doctor, then the corresponding doctor and patient are matched.The present invention is based on big data platforms, and the accuracy of data analysis can be further increased by the continuous accumulation of data, and internet interrogation accuracy compared with prior art improves 70%.The present invention constantly expands new analysis vocabulary and logical algorithm according to the logical operation of data, greatly improves patient's interrogation efficiency, so that interrogation efficiency is promoted 95% compared with prior art, reduce and link up cost between patient and doctor.)

1. a kind of working method based on big data intelligence interrogation system characterized by comprising

S1, doctor's qualification authentication

S11, by hospital's authorized doctor, open online consultation interrogation service；

S12, CA company, the relevant evidential material submitted for doctor authenticate, and after certification, provide digital certificates；

The permission that S13, doctor are checked, examined, prescribed starts counseling services；

S2, patient's interrogation

Before S21, patient start interrogation, main suit is inputted by mobile terminal device, picture and text can be used, the mode of recorded video mentions It asks, the terminal device is smart phone, tablet computer etc., and it is soft that interrogation service of the invention is installed in the mobile terminal device Part；

Main suit's content that S22, the interrogation service software are filled according to patient is simultaneously sent to server, and the present invention is from the service Interrogation problem is obtained in device or in doctor terminal, and the description of patient main suit is converted into the medical terminology that doctor is understood that, Accurately positioning disease；

S23, prepare the doctor that screening meets patient requests；

S24, patient and corresponding doctor are matched, candidate doctor is listed, is selected by patient；

S25, after paying successfully, starting to service, method of service is picture and text, phone, video etc.,

Time be 12 hours, to the time after end automatically service；If payment failure, terminates service；

S3, payment module

S31, transaction interface generate order information according to the payment request to payment information；

Order information is sent to payment platform by S32, transaction interface, generates payment serial number, by the amount of money and is ordered after the completion of payment Single, pipeline sending is to hospital side；

S33, revenue sharing is carried out to doctor by hospital side.

2. a kind of working method based on big data intelligence interrogation system according to claim 1, which is characterized in that step The medical terminology that the doctor of conversion described in S22 is understood that, be history medical record data by comparing other a large amount of patients and The history medical record data of sufferers themselves carries out what machine training obtained, i.e., basis determines the statistics of the history medical record data With the case scenario and diagnosis situation of the immediate associated description of interrogation problem, the semanteme extracted in the interrogation problem is special Sign is matched with corresponding medical terminology, and includes the sentence of degree to semantic feature in symptomatic condition, according to severity Carry out priority ranking.

3. a kind of working method based on big data intelligence interrogation system according to claim 2, which is characterized in that described Machine training, including medical interrogation database and question semanteme character representation and semantic excavation, the semantic feature includes lesion Position, pain degree, related factor, extraneous factor, pathogenic factor, disease time etc..

4. a kind of working method based on big data intelligence interrogation system according to claim 2, which is characterized in that described Question semanteme character representation and the semantic specific method excavated be extracted by neural network internal characteristics in the main suit and Pathologic condition excavates the semantic feature in the main suit, and neuron calculates character representation, exports as neuron by machine training Feature vector afterwards, the neural network include convolutional neural networks, recurrent neural network etc..

5. a kind of working method based on big data intelligence interrogation system according to claim 2, which is characterized in that described The data of machine training further include by practice guidelines, medical literature, medical cases etc..

6. a kind of working method based on big data intelligence interrogation system according to claim 1, which is characterized in that step Digital certificates described in S12 include the professional qualification certificate of doctor, associated personal information, hospital's incumbency certificate etc., the correlation Personal information includes its graduated school, educational background, support, research direction and academy's successes etc..

Technical field

The present invention relates to medical diagnosis technical fields, are based on big data intelligence interrogation system more specifically to one kind Working method.

Background technique

With the development of Internet era, in addition present hospital resources are in short supply, stand in the queue to register and need the plenty of time, Huan Zheyue Get used to seeking doctor's interrogation on the net come more, puts question to doctor's disease related questions.Since patient does not know about medical knowledge, for The statement of the state of an illness is often unclear, inaccurate, causes the description of many diseases that doctor can not understand, the state of an illness is judged to lose Accidentally, it cannot accurately make a definite diagnosis.

Summary of the invention

The present invention to solve the above-mentioned problems, proposes a kind of working method based on big data intelligence interrogation system, system, It solves and medical knowledge is not known about due to patient, it is often unclear for the statement of the state of an illness, inaccurate, lead to many diseases Doctor can not understand for description, for state of an illness error in judgement, the problem of cannot accurately making a definite diagnosis.

To achieve the above object, the present invention provides a kind of working method based on big data intelligence interrogation system, comprising:

S1, doctor's qualification authentication

S11, by hospital's authorized doctor, open online consultation interrogation service.

S12, CA company, the relevant evidential material submitted for doctor authenticate, and after certification, provide electronics card Book.

The permission that S13, doctor are checked, examined, prescribed starts counseling services.

S2, patient's interrogation

Before S21, patient start interrogation, main suit is inputted by mobile terminal device, the side of picture and text, recorded video can be used Formula is putd question to, and the terminal device is smart phone, tablet computer etc., and interrogation clothes of the invention are installed in the mobile terminal device Business software.

Main suit's content that S22, the interrogation service software are filled according to patient is simultaneously sent to server, and the present invention is from described Interrogation problem is obtained in server or in doctor terminal, and the description of patient main suit is converted into the medicine art that doctor is understood that Language accurately positions disease.

S23, prepare the doctor that screening meets patient requests.

S24, patient and corresponding doctor are matched, candidate doctor is listed, is selected by patient.

S25, after paying successfully, start to service, method of service is picture and text, phone, video etc., and the time is 12 hours, then Between after end automatically service；If payment failure, terminates service.

S3, payment module

S31, transaction interface generate order information according to the payment request to payment information.

Order information is sent to payment platform by S32, transaction interface, payment serial number is generated, by the amount of money after the completion of payment With order, pipeline sending to hospital side.

S33, revenue sharing is carried out to doctor by hospital side.

Under preferred embodiment, the medical terminology that the doctor of conversion described in step S22 is understood that, be by compare it is a large amount of its The history medical record data of his patient and the history medical record data of sufferers themselves carry out what machine training obtained, i.e., basis is gone through to described The statistics of history medical record data determine and the case scenario of the immediate associated description of interrogation problem and diagnosis situation, extract Semantic feature in the interrogation problem is matched with corresponding medical terminology, and includes journey to semantic feature in symptomatic condition The sentence of degree carries out priority ranking according to severity.

Under preferred embodiment, the machine training, including medical interrogation database and question semanteme character representation and semantic digging Pick, the semantic feature includes lesions position, pain degree, related factor, extraneous factor, pathogenic factor, disease time etc..

Under preferred embodiment, the specific method that the question semanteme character representation is excavated with semanteme is extracted by neural network Internal characteristics and pathologic condition in the main suit excavate the semantic feature in the main suit, and neuron calculates character representation, defeated Feature vector for neuron after machine training out, the neural network includes convolutional neural networks, recurrent neural network Deng.

Under preferred embodiment, the data of the machine training further include by practice guidelines, medical literature, medical cases etc..

Under preferred embodiment, the digital certificates include the professional qualification certificate of doctor, associated personal information, the on-job card of hospital Bright etc., the associated personal information includes its graduated school, educational background, support, research direction and academy's successes etc..

The present invention is based on big data platforms, and the accuracy of data analysis can be further increased by the continuous accumulation of data, Internet interrogation accuracy compared with prior art improves 70%.The present invention constantly expands new point according to the logical operation of data Vocabulary and logical algorithm are analysed, patient's interrogation efficiency is greatly improved, so that interrogation efficiency is promoted 95% compared with prior art, reduce Cost is linked up between patient and doctor.

Detailed description of the invention

Fig. 1 is specific steps flow diagram of the present invention.

Specific embodiment

The present invention is further explained and is illustrated with specific embodiment with reference to the accompanying drawings of the specification.For of the invention real The step number in example is applied, is arranged only for the purposes of illustrating explanation, any restriction is not done to the sequence between step, is implemented The execution sequence of each step in example can be adaptively adjusted according to the understanding of those skilled in the art.

As shown in Figure 1, a kind of working method based on big data intelligence interrogation system, comprising the following steps:

1, doctor's qualification authentication.

(1) by hospital's authorized doctor, online consultation interrogation service is opened.

(2) CA company, the relevant evidential material submitted for doctor authenticate, and after certification, provide digital certificates. The digital certificates include the professional qualification certificate of doctor, associated personal information, hospital's incumbency certificate etc., the related personal letter Breath includes its graduated school, educational background, support, research direction and academy's successes etc..

(3) permission that doctor is checked, examined, prescribed starts counseling services.

2, patient's interrogation.

(1) before patient starts interrogation, main suit is inputted by mobile terminal device, the side of picture and text, recorded video can be used Formula is putd question to, and the terminal device is smart phone, tablet computer etc., and interrogation clothes of the invention are installed in the mobile terminal device Business software.

(2) the interrogation service software is filled according to patient main suit's content is simultaneously sent to server, and the present invention is from described Interrogation problem is obtained in server or in doctor terminal, and is converted the description of patient main suit by way of big data cloud computing The medical terminology that Cheng doctor is understood that, accurately positions disease.

The medical terminology that the doctor of conversion of the present invention is understood that, be by big data cloud computing comparison it is a large amount of other The history medical record data of patient and the history medical record data of sufferers themselves carry out what machine training obtained, i.e., according to the history The statistics of medical record data determine and the case scenario of the immediate associated description of interrogation problem and diagnosis situation, extract institute The semantic feature stated in interrogation problem is matched with corresponding medical terminology, and includes degree to semantic feature in symptomatic condition Sentence, according to severity carry out priority ranking, with this come promoted disease description accuracy rate and each symptomatic condition it is excellent First grade.The data of big data cloud computing training and comparison further include by practice guidelines, medical literature, medical cases etc..

(3) prepare the doctor that screening meets patient requests.

(4) patient and corresponding doctor are matched, candidate doctor is listed, selected by patient.

(5) after paying successfully, start to service, method of service is picture and text, phone, video etc., and the time is 12 hours, to the time After end automatically service；If payment failure, terminates service.

3, it pays.

(1) transaction interface generates order information according to the payment request to payment information.

(2) order information is sent to payment platform by transaction interface, generates payment serial number, after the completion of payment by the amount of money and Order, pipeline sending are to hospital side.

(3) revenue sharing is carried out to doctor by hospital side.

The invention also includes after interrogation, the emphasis for the diagnostic result that patient obtains and the content of key can be marked especially Note is checked with preventing patient from neglecting to omit.

Interrogation problem of the invention includes lesions position, pain degree, related factor, extraneous factor, pathogenic factor, morbidity Time etc..Into the excessively described big data cloud computing mode the description of patient is converted into the medical terminology that doctor is understood that after, Facilitate doctor to check and and guides subsequent interrogation direction and interrogation emphasis.The problem important for patient, the especially pass of illness Key section can be inquired repeatedly, it is ensured that be not missed, mistaken diagnosis from different angles.The interrogation information specifically includes figure Text, phone, video etc., here without limitation.Specific voice input can be recording file, can also be by mobile terminal certainly The voice software of band is converted into text.Specific photo can be inserted into the designated position of related interrogation problem as requested, can also With scene take pictures and the editor of picture, mark, and will feedback in real time be sent to patient examination and correct.

Mode and the machine training of the big data cloud computing, including medical interrogation database, question semanteme mark sheet Show and is excavated with semantic.The medical treatment interrogation database is collected by hospital and internet, carries out typing.The question semanteme mark sheet Show and excavated with semantic, the present invention extracts internal characteristics and pathologic condition in the main suit using neural network, excavates the master Semantic feature in telling and question and answer are intended to, the semantic feature include lesions position, pain degree, related factor, extraneous factor, Pathogenic factor, disease time etc..Specific method is: neuron calculates character representation automatically, the spy after exporting as learning of neuron Vector is levied, the neural network includes convolutional neural networks, recurrent neural network etc., and the present invention is not limited to a certain specific nets Network.

The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto, Anyone skilled in the art within the technical scope of the present disclosure, according to the technique and scheme of the present invention and its Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.