CN110060750A - Medical data method for pushing, system, computer equipment and readable storage medium storing program for executing - Google Patents
Medical data method for pushing, system, computer equipment and readable storage medium storing program for executing Download PDFInfo
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- CN110060750A CN110060750A CN201910226019.0A CN201910226019A CN110060750A CN 110060750 A CN110060750 A CN 110060750A CN 201910226019 A CN201910226019 A CN 201910226019A CN 110060750 A CN110060750 A CN 110060750A
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- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000003745 diagnosis Methods 0.000 claims abstract description 144
- 201000010099 disease Diseases 0.000 claims description 113
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 113
- 239000013598 vector Substances 0.000 claims description 37
- 238000003062 neural network model Methods 0.000 claims description 22
- 239000000284 extract Substances 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 7
- 238000005516 engineering process Methods 0.000 claims description 7
- 238000013507 mapping Methods 0.000 claims description 7
- 238000012797 qualification Methods 0.000 claims description 7
- 230000008520 organization Effects 0.000 claims description 6
- 238000012795 verification Methods 0.000 claims description 3
- 230000006870 function Effects 0.000 description 7
- 238000004891 communication Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 238000007477 logistic regression Methods 0.000 description 4
- 239000011159 matrix material Substances 0.000 description 3
- 238000005481 NMR spectroscopy Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 238000002604 ultrasonography Methods 0.000 description 2
- 230000004913 activation Effects 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 210000005036 nerve Anatomy 0.000 description 1
- 210000004218 nerve net Anatomy 0.000 description 1
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- G—PHYSICS
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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Abstract
The embodiment of the invention provides a kind of medical data method for pushing, comprising steps of for user configuration personal account and the logentry for entering the personal account for providing client with the associated two dimensional code of the personal account, the two dimensional code；Receive the diagnosis report list that medical system uploads；The diagnosis report list is parsed, and the diagnosis report list after parsing is stored in database profession；According to the user information, the diagnosis report table is matched with the personal account；If it is determined that the diagnosis report table is matched with the personal account, then the generated report state of the diagnosis report table is pushed in the personal account, and/or, the report acquisition application entrance of the diagnosis report table is pushed in the personal account.The embodiment of the present invention effectively improves the circulation efficiency of medical data, solves the technical issues of inefficiency for obtaining papery report or number report at present.
Description
Technical field
The present embodiments relate to information technology fields, and in particular to a kind of medical data method for pushing, system, computer
Equipment and computer readable storage medium.
Background technique
In medical field, the generating process of traditional medical diagnosis report are as follows: doctor is after patient finishes an inspection, to carry out
Film making checks that dept. of radiology's diagosis writes report, and printing obtains papery report, anticipates with seen in diagnosis with diagnosis in papery report
See, doctor reports papery to patient after signing in papery report.To adapt to digitlization, patient can also be on scan report
Two dimensional code obtains digital film and number report, however the acquisition of digital information is substantially based on the two dimensional code gone out after reporting.
However, patient requires on inspection chamber doorway or goes home to wait report as a result, obtaining papery through the above way
The inefficiency of report or number report seriously affects patient's medical treatment experience.
Also, since existing report acquisition mode can not automatically extract medical diagnosis on disease information and intelligent recognition,
Therefore the intelligent reminding of diagnosis report can not be realized according to medical diagnosis on disease information.
Summary of the invention
In view of this, the embodiment of the present invention proposes a kind of medical data method for pushing, system, computer equipment and calculating
It the technical issues of machine readable storage medium storing program for executing, inefficiency to solve to obtain papery report or number report, and can not basis
Medical diagnosis on disease information realizes the intelligent reminding of diagnosis report.
The embodiment of the present invention is to solve above-mentioned technical problem by following technical proposals:
A kind of medical data method for pushing, comprising:
For user configuration personal account and with the associated two dimensional code of the personal account, the two dimensional code is for providing client
End enters the logentry of the personal account；
The diagnosis report list that medical system uploads is received, includes user information, diagnosis letter in the diagnosis report list
Breath and image information；
The diagnosis report list is parsed, and the diagnosis report list after parsing is stored in database profession；
According to the user information, the diagnosis report table is matched with the personal account；And
If it is determined that the diagnosis report table is matched with the personal account, then by the generated report of diagnosis report table
State of lodging a complaint with pushes in the personal account, and/or,
The medical diagnosis on disease information in the diagnosis report list is extracted, the disease of the user is judged by neural network model
Feelings degree determines whether that the personal account pushes prompting message according to severity extent, by the report of the diagnosis report table
Application entrance is obtained to be pushed in the personal account.
It preferably, include the linking inlet ports information and user's real-name authentication entrance chain of the personal account in the two dimensional code
Information is connect, the method also includes:
The Account Logon solicited message that client is generated based on the two dimensional code is received, the Account Logon solicited message is taken
With user's real-name authentication information, user's real-name authentication information is the client according to user's real-name authentication entrance
What link information was obtained from Verification System；And
The page is logined successfully to client return according to the Account Logon solicited message.
Preferably, in the two dimensional code include the linking inlet ports information of the personal account and obtain letter with privacy of user
Breath, the privacy of user obtain information for requesting the client to provide the machine current phone number, and the method is also wrapped
It includes:
The Account Logon solicited message that client is generated based on the two dimensional code is received, the Account Logon solicited message is taken
Phone number with the client；
Compare the mobile phone that will be carried in the phone number recorded in the personal account and the Account Logon solicited message
Number；
If identical, the page is logined successfully to client return；And
If it is different, then returning to the login failure page to the client.
Preferably, extract the medical diagnosis on disease information in the diagnosis report list, judged by neural network model described in
The severity extent of user determines whether the step of personal account pushes prompting message according to severity extent, comprising:
According to preconfigured field name list, the diagnosis report is extracted from the field for describing disease category
The corresponding disease category of list extracts the medical diagnosis on disease information, the word from the field for describing medical diagnosis on disease information
Name section list includes the field name for describing the field of disease category and the field for describing medical diagnosis on disease information
Field name；
Participle operation is carried out to obtain n lemma to the medical diagnosis on disease information；
Each lemma is mapped as a d dimension term vector, to obtain n*d dimension term vector；
N*d dimension term vector is input in neural network model, to pass through the neural network model output category
Vector, the class vector are used to indicate the confidence level of each severity extent of the disease category；
According to the highest severity extent of confidence level, to determine whether that the personal account pushes the prompting message.
Preferably, further includes: by the disease category and the corresponding severity extent of the disease category, to the individual
Account pushes medical information:
One or more targets medical institutions are searched from medical knowledge mapping according to the disease category；
It is searched in each target medical institutions according to the severity extent of the disease category and has corresponding medical technology qualification
One or more doctors；
Obtain the patient's reservation data of each doctor within a preset time, filter out reservation be not booked one or
Multiple target doctors；
By each target doctor under the organization information of one or more target medical institutions and each target medical institutions
Information about doctor, be pushed to the personal account.
To achieve the goals above, the embodiment of the present invention also provides a kind of medical data supplying system, comprising:
Configuration module, for for user configuration personal account and with the associated two dimensional code of the personal account, the two dimension
The logentry that code enters the personal account for providing client；
Receiving module includes using in the diagnosis report list for receiving the diagnosis report list of medical system upload
Family information, diagnostic message and image information；
Parsing module is stored in data for parsing the diagnosis report list, and by the diagnosis report list after parsing
In library；
Judgment module, for according to the user information, the diagnosis report table to be matched with the personal account；And
Diagnostic message pushing module, for if it is determined that the diagnosis report table is matched with the personal account, then by institute
The generated report state of diagnosis report table is stated to push in the personal account, and/or, it extracts in the diagnosis report list
Medical diagnosis on disease information, the severity extent of the user is judged by neural network model, is determined whether according to severity extent
The personal account pushes prompting message, and the report acquisition application entrance of the diagnosis report table is pushed to the personal account
In.
Preferably, the diagnostic message pushing module, is also used to:
According to preconfigured field name list, the diagnosis report is extracted from the field for describing disease category
The corresponding disease category of list extracts the medical diagnosis on disease information, the word from the field for describing medical diagnosis on disease information
Name section list includes the field name for describing the field of disease category and the field for describing medical diagnosis on disease information
Field name；
Participle operation is carried out to obtain n lemma to the medical diagnosis on disease information；
Each lemma is mapped as a d dimension term vector, to obtain n*d dimension term vector；
N*d dimension term vector is input in neural network model, to pass through the neural network model output category
Vector, the class vector are used to indicate the confidence level of each severity extent of the disease category；
According to the highest severity extent of confidence level, to determine whether that the personal account pushes the prompting message.
Preferably, the diagnostic message pushing module is also used to corresponding by the disease category and the disease category
Severity extent, Xiang Suoshu personal account push medical information:
One or more targets medical institutions are searched from medical knowledge mapping according to the disease category；
It is searched in each target medical institutions according to the severity extent of the disease category and has corresponding medical technology qualification
One or more doctors；
Obtain the patient's reservation data of each doctor within a preset time, filter out reservation be not booked one or
Multiple target doctors；
By each target doctor under the organization information of one or more target medical institutions and each target medical institutions
Information about doctor, be pushed to the personal account.
To achieve the goals above, the embodiment of the present invention also provides a kind of computer equipment, and the computer equipment includes
Memory, processor and it is stored in the computer program that can be run on the memory and on the processor, the calculating
Machine program realizes the step of medical data method for pushing as described above when being executed by processor.
To achieve the goals above, the embodiment of the present invention also provides a kind of computer readable storage medium, which is characterized in that
Computer program is stored in the computer readable storage medium, the computer program can be held by least one processor
Row, so that the step of at least one described processor executes medical data method for pushing as described above.
Compared to the prior art, medical data method for pushing, system, computer equipment and meter that the embodiment of the present invention proposes
Calculation machine readable storage medium storing program for executing, real-time reception medical system upload diagnosis report list, and the diagnosis report list received with
The real-time status of the diagnosis report list of user, is efficiently pushed to the personal account of the user by personal account matching,
The circulation efficiency of medical data is effectively improved, to solve the inefficiency for obtaining papery report or number report at present
Technical problem.
And the present embodiment is judged by extracting the medical diagnosis on disease information in diagnosis report list by neural network model
The severity extent of user determines whether that personal account pushes prompting message according to severity extent, according to medical diagnosis on disease information
To realize the intelligent reminding of diagnosis report.
Below in conjunction with the drawings and specific embodiments, the present invention will be described in detail, but not as a limitation of the invention.
Detailed description of the invention
Fig. 1 shows the step flow chart of the medical data method for pushing of the embodiment of the present invention one.
Fig. 2 is the step flow chart of step S108 in Fig. 1.
Fig. 3 shows the step flow chart of another medical data method for pushing of the embodiment of the present invention one.
Fig. 4 is the step flow chart of step S110 in Fig. 3.
Fig. 5 shows the program module schematic diagram of the medical data supplying system of the embodiment of the present invention two.
Fig. 6 shows the hardware structure schematic diagram of the computer equipment of the embodiment of the present invention three.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, not
For limiting the present invention.Based on the embodiments of the present invention, those of ordinary skill in the art are not before making creative work
Every other embodiment obtained is put, shall fall within the protection scope of the present invention.
Technical solution between each embodiment can be combined with each other, but must be with those of ordinary skill in the art's energy
It is enough realize based on, will be understood that the knot of this technical solution when conflicting or cannot achieve when occurs in the combination of technical solution
Conjunction is not present, also not the present invention claims protection scope within.
Embodiment one
Refering to fig. 1, the step flow chart of the medical data method for pushing of the embodiment of the present invention is shown.It is appreciated that this
Flow chart in embodiment of the method, which is not used in, is defined the sequence for executing step.Below using computer equipment as executing subject
Carry out exemplary description.It is specific as follows.
Step S100, be user configuration personal account and with the associated two dimensional code of the personal account, the two dimensional code uses
Enter the logentry of the personal account in offer client.
In the exemplary embodiment, the step S100 can also include:
Receive the customer charge list that hospital front end is sent, include in the customer charge list user user information and
Payment information；It is the user configuration one according to the user information of the user when the payment information is " charges paid "
Personal account can receive the message push etc. of hospital by personal account user, which can be based on " wechat
The network platforms such as public platform " carry out register.It include the logentry information of the personal account, such as account in the two dimensional code
Family dock door link information and user identifier.
The two dimensional code is for being printed to receipt, and acquisition is sent in the electronic account of user, such as electronics postal
In case.
In the exemplary embodiment, the linking inlet ports information in the two dimensional code including the personal account and user are real
Name certification linking inlet ports information.The medical data method for pushing further includes login step: receiving the client based on described
The Account Logon solicited message that two dimensional code generates, the Account Logon solicited message carries user's real-name authentication information, described
User's real-name authentication information is that the client is obtained from Verification System according to user's real-name authentication linking inlet ports information
's；The page is logined successfully to client return according to the Account Logon solicited message.
In the exemplary embodiment, the linking inlet ports information in the two dimensional code including the personal account and and user
Privacy obtains information, and the privacy of user obtains information for requesting the client to provide the machine current phone number.Institute
Stating medical data method for pushing further includes login step: receiving the Account Logon request letter that client is generated based on the two dimensional code
Breath, the Account Logon solicited message carry the phone number of the client；Comparing will record in the personal account
The phone number carried in phone number and the Account Logon solicited message；If identical, stepped on to client return
Record success page；If it is different, then returning to the login failure page to the client.
Step S102, receives the diagnosis report list that medical system uploads, and includes that user believes in the diagnosis report list
Breath, diagnostic message and image information.
Illustratively, the user information includes patient's name, age, gender, phone number, medical insurance card number, identity card
Number；The diagnostic message includes hospital name, outpatient service number, disease category, diagnostic message；The image information is according to diagnostic-type
It is different and different, such as CT diagnosis, nuclear magnetic resonance, ultrasound diagnosis.
The diagnosis report list includes multiple fields, and the field type of the multiple field may include text box, answer
Select frame, radio box, drop-down choice box etc..
Step S104 parses the diagnosis report list, and the diagnosis report list after parsing is stored in database profession.
Structuring or semi-structured data are obtained after the diagnosis report table is resolved, is stored in the form of a table described
It in database, and is the diagnosis declaration form list configuration database index information.
Step S106 matches the diagnosis report table with the personal account according to the user information.
The user information in the user information and the personal account in the diagnosis report list is compared, if identical,
Then the diagnosis report table is matched with the personal account, if it is different, then the diagnosis report table and the personal account are not
Matching.
Step S108, if it is determined that the diagnosis report table is matched with the personal account, then by the diagnosis report table
Generated report state pushes in the personal account, and/or, extract the medical diagnosis on disease letter in the diagnosis report list
Breath, the severity extent of the user is judged by neural network model, determines whether the personal account according to severity extent
Prompting message is pushed, the report acquisition application entrance of the diagnosis report table is pushed in the personal account.The report
State has been generated or has been reported for report and do not generated.
In the exemplary embodiment, report acquisition application entrance includes: the database index letter of the diagnosis report table
Breath and electronic report payment link information.
Optionally, as shown in Fig. 2, the medical diagnosis on disease information extracted in the diagnosis report list, passes through nerve net
Network model judges the severity extent of the user, determines whether that the personal account pushes prompting message according to severity extent,
It is specific as follows:
Step S108A extracts institute according to preconfigured field name list from the field for describing disease category
The corresponding disease category of diagnosis report list is stated, the medical diagnosis on disease letter is extracted from the field for describing medical diagnosis on disease information
Breath.
The field name list includes field name for describing the field of disease category and for describing disease
The field name of the field of diagnostic message.
Illustratively, the medical diagnosis on disease information is that medical worker is entered into the text in diagnosis report table by PC
This information, the diagnosis report table are uploaded in computer equipment with the file of JSON format.When the computer equipment receives
When the diagnosis report table of JSON format, the word of each field can be extracted from JSON character string by json_extract function
Segment information.
Step S108B carries out participle operation to the medical diagnosis on disease information to obtain n lemma.
The dictionary for segmenting operation is association dictionary corresponding with the disease category.
Specifically, can configure an association dictionary for every kind of disease category, which includes for describing in this
Multiple words of disease category.
When being segmented to the medical diagnosis on disease information, first a medical diagnosis on disease can be believed based on the association dictionary
Breath is segmented, and m lemma is obtained；Later in the case where keeping m lemma not to be changed, based on conventional dictionary (such as jieba
Dictionary) corresponding remaining information carries out participle operation, obtain remaining n-m lemma, that is, finally obtain n lemma.
Each lemma is mapped as a d dimension term vector, to obtain n*d dimension term vector by step S108C.
Illustratively, 128 dimension term vectors of each lemma can by models such as word2vec, be obtained.
N*d dimension term vector is input in neural network model, to pass through the neural network mould by step S108D
Type output category vector, the class vector are used to indicate the confidence level of each severity extent of the disease category.
If the severity extent of the disease category is divided into Pyatyi (severity extent 1, severity extent 2, severity extent 3, disease
Feelings degree 4, severity extent 5), and class vector is (0.66,0.90,0.80,0.71,0.40), then: 0.66 indicates the disease
The confidence level of severity extent 1 in classification, 0.90 indicates the confidence level of the severity extent 2 in the disease category, and so on.
In the exemplary embodiment, the neural network model may include convolutional layer and LR (logistic regression) layer,
In, convolutional layer includes the convolution kernel for the f*d that several step-lengths are 1, ties up term vector matrix to n*d by the convolutional layer and is convolution behaviour
Make, to obtain the convolution characteristic pattern of several (n-f+1) * 1.That is, the width of each convolution characteristic pattern is 1, length n-f+1.
The length of convolution kernel is f, and lemma quantity is n.N is the positive integer greater than 1.
(n-f+1) * 1 element in convolution characteristic pattern, calculation formula are as follows:
cij=f (wij⊙mi+bi)
Wherein, cijFor the characteristic value of j-th of element in (n-f+1) in ith feature trellis diagram, wijIt is corresponding i-th
The term vector matrix for being convolved core and being covered of a convolution characteristic pattern, ⊙ representing matrix are multiplied, miFor for calculating i-th volume
The convolution kernel of product characteristic pattern, biFor the bias term for calculating i-th of convolution characteristic pattern, f is nonlinear activation primitive, such as
ReLU function.
By j-th of element arrangements in each convolution characteristic pattern into j-th of input vector, (n-f+1) a input is obtained
Vector, 1≤j≤(n-f+1)；
(n-f+1) a input vector is input in LR layers, each disease of the described LR layers output disease category is passed through
The confidence level of feelings degree.
Step S108E, according to the highest severity extent of confidence level, to determine whether to mention described in the personal account push
Show message.
If the disease category extracted from medical diagnosis on disease information includes disease category 1, disease category 2, disease category 3, and
The severity extent of disease category 1 is severity extent 2, and disease category 2 is severity extent 1, and disease category 3 is severity extent 3, then counts
The confidence level for calculating each severity extent, the confidence level for obtaining severity extent 1 is 0.66, and the confidence level of severity extent 2 is 0.90, disease
The confidence level of feelings degree 3 is 0.80, then 2 confidence level highest of severity extent, and confidence level is higher, therefore is accurate.By nerve
The severity extent 2 of network model output is more serious degree, then pushes away the prompting message (e.g., prompt is please seen a doctor as early as possible)
It send to the personal account.Alternatively, extracting the phone number of the user from the field of description cell-phone number, the prompt is disappeared
Breath pushes in user mobile phone.Alternatively, extracting the mailbox message of the user from the field of description mailbox message, mentioned described
Show that message pushes in the mailbox of the user.
It should be noted that first passing through " medical diagnosis on disease information " that a large amount of designated doctors mark " severity extent " in advance, lead to
Cross these " medical diagnosis on disease information " in advance to the neural network model exercise supervision formula training, pass through the trained mind
Through network model, sort operation is carried out for " medical diagnosis on disease information " progress " severity extent " to be identified.
Optionally, as shown in figure 3, medical data method for pushing can also include step S110: passing through the disease category
Severity extent corresponding with the disease category, Xiang Suoshu personal account push medical information.
As shown in figure 4, the step S110 may further include:
Step S110A searches one or more targets medical institutions according to the disease category from medical knowledge mapping.
The medical knowledge map is to be constructed according to the medical data in medical data base, and the knowledge mapping includes multiple
Node, the multiple node include: medical institutions, department, doctor, qualification, speciality, medical cases etc..
Step S110B is searched in each target medical institutions according to the severity extent of the disease category and is had corresponding doctor
One or more doctors for the treatment of technology qualification.
Step S110C obtains the patient's reservation data of each doctor within a preset time, filters out reservation and is not arranged
Full one or more target doctors.
Step S110D, will be each under the organization information of one or more target medical institutions and each target medical institutions
The information about doctor of a target doctor, is pushed to the personal account.
Embodiment two
Refering to Fig. 5, show a kind of medical data supplying system 20, medical data supplying system 20 be divided into one or
Multiple program modules, one or more program module is stored in storage medium, and is held by one or more processors
Row, to complete the present invention.The so-called program module of the present invention is to refer to complete the series of computation machine program of specific function to refer to
Enable section, be more suitable for describing implementation procedure of the medical data supplying system 20 in storage medium than program itself, be described below by
Specifically introduce the function of each program module of the present embodiment:
Configuration module 200, for for user configuration personal account and with the associated two dimensional code of the personal account, described two
Dimension code is used to provide the logentry that client enters the personal account.
In the exemplary embodiment, configuration module 200 are also used to:
Receive the customer charge list that hospital front end is sent, include in the customer charge list user user information and
Payment information；It is the user configuration one according to the user information of the user when the payment information is " charges paid "
Personal account can receive the message push etc. of hospital by personal account user, which can be based on " wechat
The network platforms such as public platform " carry out register.It include the logentry information of the personal account, such as account in the two dimensional code
Family dock door link information and user identifier.
The two dimensional code is for being printed to receipt, and acquisition is sent in the electronic account of user, such as electronics postal
In case.
In the exemplary embodiment, the linking inlet ports information in the two dimensional code including the personal account and user are real
Name certification linking inlet ports information.The medical data supplying system 20 further includes login module (not identifying), is used for: described in reception
The Account Logon solicited message that client is generated based on the two dimensional code, the Account Logon solicited message carry user's real name
Authentication information, user's real-name authentication information be the client according to user's real-name authentication linking inlet ports information from recognizing
It is obtained in card system；The page is logined successfully to client return according to the Account Logon solicited message.
In the embodiment of another exemplary, in the two dimensional code including the personal account linking inlet ports information and and
Privacy of user obtains information, and the privacy of user obtains information for requesting the client to provide the machine current cell-phone number
Code.The medical data supplying system 20 further includes login module (not identifying), is used for: receiving client and is based on the two dimensional code
The Account Logon solicited message of generation, the Account Logon solicited message carry the phone number of the client；Comparing will
The phone number recorded in the personal account and the phone number carried in the Account Logon solicited message；If identical,
Then the page is logined successfully to client return；If it is different, then returning to the login failure page to the client.
Receiving module 202 includes for receiving the diagnosis report list of medical system upload, in the diagnosis report list
User information, diagnostic message and image information.
Illustratively, the user information includes patient's name, age, gender, phone number, medical insurance card number, identity card
Number；The diagnostic message includes hospital name, outpatient service number, disease category, diagnostic message；The image information is according to diagnostic-type
It is different and different, such as CT diagnosis, nuclear magnetic resonance, ultrasound diagnosis.
The diagnosis report list includes multiple fields, and the field type of the multiple field may include text box, answer
Select frame, radio box, drop-down choice box etc..
Parsing module 204 is stored in number for parsing the diagnosis report list, and by the diagnosis report list after parsing
According in library.
Structuring or semi-structured data are obtained after the diagnosis report table is resolved, is stored in the form of a table described
It in database, and is the diagnosis declaration form list configuration database index information.
Judgment module 206, for according to the user information, the diagnosis report table to be matched with the personal account.
The user information in the user information and the personal account in the diagnosis report list is compared, if identical,
Then the diagnosis report table is matched with the personal account, if it is different, then the diagnosis report table and the personal account are not
Matching.
Diagnostic message pushing module 208 is used for if it is determined that the diagnosis report table is matched with the personal account, then general
The generated report state of diagnosis report table pushes in the personal account, and/or, extract the diagnosis report list
In medical diagnosis on disease information, the severity extent of the user is judged by neural network model, is determined whether according to severity extent
Prompting message is pushed to the personal account, the report acquisition application entrance of the diagnosis report table is pushed to described and is acknowledged a debt
In family.
In the exemplary embodiment, report acquisition application entrance includes: the database index letter of the diagnosis report table
Breath and electronic report payment link information.
In the exemplary embodiment, diagnostic message pushing module 208, is also used to: according to preconfigured field name
The corresponding disease category of the diagnosis report list is extracted in list from the field for describing disease category, from for describing
The medical diagnosis on disease information is extracted in the field of medical diagnosis on disease information, the field name list includes for describing disease category
Field field name and the field for describing medical diagnosis on disease information field name；To the medical diagnosis on disease information into
Row participle operation is to obtain n lemma；Each lemma is mapped as a d dimension term vector, to obtain n*d dimension term vector；By institute
It states n*d dimension term vector to be input in neural network model, to pass through the neural network model output category vector, the classification
Vector is used to indicate the confidence level of each severity extent of the disease category；According to the highest severity extent of confidence level, come true
It is fixed whether to the personal account to push the prompting message.
Optionally, it can also include medical information pushing module 210, be used for: by the disease category and the disease
The corresponding severity extent of classification, Xiang Suoshu personal account push medical information.It is specific as follows: according to the disease category from medical treatment
One or more targets medical institutions are searched in knowledge mapping, and each target is searched according to the severity extent of the disease category
Have one or more doctors of corresponding medical technology qualification in medical institutions；Obtain each doctor within a preset time
Patient's reservation data filters out one or more target doctors that reservation is not booked；By one or more target medical institutions
Organization information and each target medical institutions under each target doctor information about doctor, be pushed to the personal account.
Embodiment three
It is the hardware structure schematic diagram of one embodiment of computer equipment of the present invention refering to Fig. 6.In the present embodiment, the meter
Calculate machine equipment 2 be it is a kind of can according to the instruction for being previously set or store, automatic progress numerical value calculating and/or information processing
Equipment.For example, rack-mount server, blade server, (including the independent service of tower server or Cabinet-type server
Server cluster composed by device or multiple servers) etc..As shown, the computer equipment 2 includes at least, but not
It is limited to, connection memory 21, processor 22, network interface 23 and medical data push can be in communication with each other by system bus
System 20.Wherein:
The memory 21 includes at least a type of computer readable storage medium, and the readable storage medium storing program for executing includes
Flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory etc.), random access storage device (RAM), it is static with
Machine accesses memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable
Read memory (PROM), magnetic storage, disk, CD etc..In some embodiments, the memory 21 can be the meter
Calculate the storage inside module of machine equipment 2, such as the hard disk or memory of the computer equipment 2.In further embodiments, described to deposit
It is hard that reservoir 21 is also possible to the plug-in type being equipped on the External memory equipment of the computer equipment 2, such as the computer equipment 2
Disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card
(Flash Card) etc..Certainly, the memory 21 can also both include the storage inside module of the computer equipment 2 or wrap
Include its External memory equipment.In the present embodiment, the memory 21 is installed on the behaviour of the computer equipment 2 commonly used in storage
Make system and types of applications software, such as the program code etc. of the medical data supplying system 20.In addition, the memory 21
It can be also used for temporarily storing the Various types of data that has exported or will export.
The processor 22 can be in some embodiments central processing unit (Central Processing Unit,
CPU), controller, microcontroller, microprocessor or other data processing chips.The processor 22 is commonly used in the control meter
Calculate machine equipment 2 overall operation, such as execute with the computer equipment 2 carry out data interaction or communication it is relevant control and
Processing etc..In the present embodiment, the processor 22 is for running the program code stored in the memory 21 or processing number
According to, such as run the medical data supplying system 20 etc..
The network interface 23 may include radio network interface or wired network interface, which is commonly used in
Communication connection is established between the computer equipment 2 and other electronic devices.For example, the network interface 23 is for passing through network
The computer equipment 2 is connected with exterior terminal, establishes data transmission between the computer equipment 2 and exterior terminal
Channel and communication connection etc..The network can be intranet (Intranet), internet (Internet), whole world movement
Communication system (Global System of Mobile communication, GSM), wideband code division multiple access (Wideband
Code Division Multiple Access, WCDMA), 4G network, 5G network, bluetooth (Bluetooth), the nothings such as Wi-Fi
Line or cable network.
It should be pointed out that Fig. 6 illustrates only the computer equipment 2 with component 21-23, it should be understood that simultaneously
All components shown realistic are not applied, the implementation that can be substituted is more or less component.
In the present embodiment, the medical data supplying system 20 being stored in memory 21 can also be divided into one
A or multiple program modules, one or more of program modules are stored in memory 21, and by one or more
Processor (the present embodiment is processor 22) is performed, to complete the present invention.
For example, Fig. 5 shows the program module schematic diagram of the medical data supplying system of the embodiment of the present invention two, the implementation
It is described that configuration module 200, receiving module 202, parsing module can be divided into based on medical data supplying system 20 in example
204, judgment module 206, diagnostic message pushing module 208 and medical information pushing module 210.Wherein, the so-called journey of the present invention
Sequence module is the series of computation machine program instruction section for referring to complete specific function, than program more suitable for describing the medical treatment
Implementation procedure of the data delivery system 20 in the computer equipment 2.The concrete function of described program module 200-210 is in reality
It applies and has been had a detailed description in example two, details are not described herein.
Example IV
The present embodiment also provides a kind of computer readable storage medium, such as flash memory, hard disk, multimedia card, card-type memory
(for example, SD or DX memory etc.), random access storage device (RAM), static random-access memory (SRAM), read-only memory
(ROM), electrically erasable programmable read-only memory (EEPROM), programmable read only memory (PROM), magnetic storage, magnetic
Disk, CD, server, App are stored thereon with computer program, phase are realized when program is executed by processor using store etc.
Answer function.The computer readable storage medium of the present embodiment is for storing medical data supplying system 20, when being executed by processor
Realize the medical data method for pushing of embodiment one.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of medical data method for pushing characterized by comprising
For user configuration personal account and with the associated two dimensional code of the personal account, the two dimensional code for provide client into
Enter the logentry of the personal account；
Receive the diagnosis report list that medical system uploads, include in the diagnosis report list user information, diagnostic message and
Image information；
The diagnosis report list is parsed, and the diagnosis report list after parsing is stored in database profession；
According to the user information, the diagnosis report table is matched with the personal account；And
If the diagnosis report table is matched with the personal account, the generated report state of the diagnosis report table is pushed away
It send into the personal account, and/or,
The medical diagnosis on disease information in the diagnosis report list is extracted, the state of an illness journey of the user is judged by neural network model
Degree determines whether that the personal account pushes prompting message according to severity extent, by the report acquisition of the diagnosis report table
Application entrance is pushed in the personal account.
2. medical data method for pushing according to claim 1, which is characterized in that include the individual in the two dimensional code
The linking inlet ports information and user's real-name authentication linking inlet ports information of account, the method also includes:
The Account Logon solicited message that client is generated based on the two dimensional code is received, the Account Logon solicited message carries
User's real-name authentication information, user's real-name authentication information are the client according to user's real-name authentication linking inlet ports
What information was obtained from Verification System；And
The page is logined successfully to client return according to the Account Logon solicited message.
3. medical data method for pushing according to claim 1, which is characterized in that include the individual in the two dimensional code
The linking inlet ports information of account and information is obtained with privacy of user, the privacy of user obtains information for requesting the client
There is provided the machine current phone number, the method also includes:
The Account Logon solicited message that client is generated based on the two dimensional code is received, the Account Logon solicited message carries
The phone number of the client；
Compare the phone number that will be carried in the phone number recorded in the personal account and the Account Logon solicited message；
If identical, the page is logined successfully to client return；And
If it is different, then returning to the login failure page to the client.
4. medical data method for pushing according to claim 1, which is characterized in that extract in the diagnosis report list
Medical diagnosis on disease information judges the severity extent of the user by neural network model, determines whether institute according to severity extent
The step of stating personal account push prompting message, comprising:
According to preconfigured field name list, the diagnosis report list is extracted from the field for describing disease category
Corresponding disease category extracts the medical diagnosis on disease information, the field name from the field for describing medical diagnosis on disease information
Claiming list includes the word of the field name for describing the field of disease category and the field for describing medical diagnosis on disease information
Name section；
Participle operation is carried out to obtain n lemma to the medical diagnosis on disease information；
Each lemma is mapped as a d dimension term vector, to obtain n*d dimension term vector；
N*d dimension term vector is input in neural network model, to pass through the neural network model output category vector,
The class vector is used to indicate the confidence level of each severity extent of the disease category；
According to the highest severity extent of confidence level, to determine whether that the personal account pushes the prompting message.
5. medical data method for pushing according to claim 4, which is characterized in that further include: pass through the disease category
Severity extent corresponding with the disease category, Xiang Suoshu personal account push medical information:
One or more targets medical institutions are searched from medical knowledge mapping according to the disease category；
It is searched in each target medical institutions according to the severity extent of the disease category and has the one of corresponding medical technology qualification
A or multiple doctors；
The patient's reservation data of each doctor within a preset time is obtained, the one or more that reservation is not booked is filtered out
Target doctor；
By the doctor of each target doctor under the organization information of one or more target medical institutions and each target medical institutions
Raw information, is pushed to the personal account.
6. a kind of medical data supplying system characterized by comprising
Configuration module, for for user configuration personal account and with the associated two dimensional code of the personal account, the two dimensional code uses
Enter the logentry of the personal account in offer client；
Receiving module includes that user believes for receiving the diagnosis report list of medical system upload, in the diagnosis report list
Breath, diagnostic message and image information；
Parsing module is stored in database profession for parsing the diagnosis report list, and by the diagnosis report list after parsing；
Judgment module, for according to the user information, the diagnosis report table to be matched with the personal account；And
Diagnostic message pushing module is used to then examine described if it is determined that the diagnosis report table is matched with the personal account
The disconnected generated report state of account pushes in the personal account, and/or, extract the disease in the diagnosis report list
Sick diagnostic message judges the severity extent of the user by neural network model, is determined whether according to severity extent described
Personal account pushes prompting message, and the report acquisition application entrance of the diagnosis report table is pushed in the personal account.
7. medical data supplying system according to claim 6, which is characterized in that the diagnostic message pushing module, also
For:
According to preconfigured field name list, the diagnosis report list is extracted from the field for describing disease category
Corresponding disease category extracts the medical diagnosis on disease information, the field name from the field for describing medical diagnosis on disease information
Claiming list includes the word of the field name for describing the field of disease category and the field for describing medical diagnosis on disease information
Name section；
Participle operation is carried out to obtain n lemma to the medical diagnosis on disease information；
Each lemma is mapped as a d dimension term vector, to obtain n*d dimension term vector；
N*d dimension term vector is input in neural network model, to pass through the neural network model output category vector,
The class vector is used to indicate the confidence level of each severity extent of the disease category；
According to the highest severity extent of confidence level, to determine whether that the personal account pushes the prompting message.
8. medical data supplying system according to claim 7, which is characterized in that the diagnostic message pushing module, also
For by the disease category and the corresponding severity extent of the disease category, Xiang Suoshu personal account to push medical information:
One or more targets medical institutions are searched from medical knowledge mapping according to the disease category；
It is searched in each target medical institutions according to the severity extent of the disease category and has the one of corresponding medical technology qualification
A or multiple doctors；
The patient's reservation data of each doctor within a preset time is obtained, the one or more that reservation is not booked is filtered out
Target doctor；
By the doctor of each target doctor under the organization information of one or more target medical institutions and each target medical institutions
Raw information, is pushed to the personal account.
9. a kind of computer equipment, the computer equipment, the computer equipment includes memory, processor and is stored in institute
State the computer program that can be run on memory and on the processor, which is characterized in that the computer program is processed
The step of medical data method for pushing as described in any one of claims 1 to 5 is realized when device executes.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer in the computer readable storage medium
Program, the computer program can be performed by least one processors, so that at least one described processor executes such as right
It is required that described in any one of 1 to 5 the step of medical data method for pushing.
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