CN109615203A - Processing method, device, equipment and the readable storage medium storing program for executing of tracheopathy reimbursement process - Google Patents
Processing method, device, equipment and the readable storage medium storing program for executing of tracheopathy reimbursement process Download PDFInfo
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Abstract
The invention discloses processing method, device, equipment and the readable storage medium storing program for executing of a kind of tracheopathy reimbursement process, this method comprises: obtaining the source side of the access instruction when receiving the process instruction of tracheopathy reimbursement process；If the access command source extracts the first insured data entrained by the process instruction in default association hospital, to carry out the first reimbursement access audit to the tracheopathy based on the described first insured data；If the access command source exports image information collecting prompt, in the insured patient of the tracheopathy to prompt the insured patient of the tracheopathy that the second insured data is placed in default identification region；It is placed in the second insured data of the insured patient of the tracheopathy of default identification region, by the identification of OCR identification method to carry out the second reimbursement access audit to the tracheopathy based on the described second insured data.The existing tracheopathy disease medical treatment reimbursement mode resource consumption of present invention solution is more, the technical problem of convenience difference.
Description
Technical field
The present invention relates to medical treatment reimbursement technical field more particularly to a kind of tracheopathy reimbursement processing method of process, device,
Equipment and readable storage medium storing program for executing.
Background technique
Currently, the slow sick hair rate of disease especially tracheopathy disease hair rate, which persistently increases, leads to enjoy tracheopathy disease medical treatment reimbursement
Number is also constantly adding, although the population support for enjoying tracheopathy disease medical treatment reimbursement is increasing, existing tracheopathy disease
It is only single that the insured patient of tracheopathy is needed to submit insured data to people society unit scene when kind of medical treatment reimbursement, with
Corresponding reimbursement processing, the insured patient of tracheopathy to people society list are carried out based on the insured data that scene is submitted for people society unit
The submission of insured data is just able to achieve reimbursement by position scene, is increased the resource consumption of tracheopathy reimbursement, and low efficiency, has been difficult to
Meet tracheopathy disease medical treatment reimbursement demand, thus how to be for patient handling tracheopathy disease reimbursement business quickly and easily
It need solve the problems, such as.
Summary of the invention
The main purpose of the present invention is to provide a kind of tracheopathy reimbursement processing method of process, device, equipment and readable
Storage medium, it is intended to which it is more to solve existing tracheopathy disease medical treatment reimbursement mode resource consumption, the technical problem of convenience difference.
To achieve the above object, the present invention provides a kind of processing method of tracheopathy reimbursement process, the tracheopathy reimbursement
The processing method of process is applied to tracheopathy medical treatment all-in-one machine, and the processing method of the tracheopathy reimbursement process includes:
When receiving the process instruction of tracheopathy reimbursement process, the process instruction of the tracheopathy reimbursement process is obtained
Source side；
If the process instruction of the tracheopathy reimbursement process extracts the tracheopathy reimbursement from default association hospital
First insured data entrained by the process instruction of process, to carry out first to the tracheopathy based on the described first insured data
Submit an expense account access audit；
If the process instruction of the tracheopathy reimbursement process derives from the insured patient of the tracheopathy, image information is exported
Acquisition prompt, to prompt the insured patient of the tracheopathy that the second insured data is placed in default identification region；
The second insured money of the insured patient of the tracheopathy of default identification region is placed in by the identification of OCR identification method
Material, to carry out the second reimbursement access audit to the tracheopathy based on the described second insured data.
Optionally, the first insured data entrained by the process instruction for extracting the tracheopathy reimbursement process, with base
Carrying out the first reimbursement access audit step to the tracheopathy in the described first insured data includes:
The first insured data entrained by the process instruction of the tracheopathy reimbursement process is extracted, and extracts first ginseng
Non-quantized achievement data and quantizating index data in guarantor's data；
The number of the non-quantized index of the insured patient of the tracheopathy and non-is extracted from the non-quantized achievement data
The type of the type of quantizating index, number and non-quantized index based on the non-quantized index judges that the tracheopathy is insured
Whether patient passes through the first audit；
If the insured patient of tracheopathy is by the first audit, to the index model of each quantizating index in quantizating index data
It encloses and is audited, to judge whether the insured patient of the tracheopathy passes through the second audit；
If the insured patient of tracheopathy passes through the second audit, it is determined that the insured patient of tracheopathy passes through the first reimbursement
Access audit.
Optionally, the insured patient of the tracheopathy that default identification region is placed in by the identification of OCR identification method
The second insured data, with based on the described second insured data to the tracheopathy carry out second reimbursement access audit step packet
It includes:
The second insured money of the insured patient of the tracheopathy of default identification region is placed in by the identification of OCR identification method
Material, and obtain the corresponding diagnosis hospital of the described second insured data；
The errorless request confirmation instruction of the second insured data described in request confirmation is sent to the diagnosis hospital；
If receive the confirmation of the diagnosis hospital based on the request confirmation instruction feedback errorless instruction, it is determined that institute
It states the insured patient of tracheopathy and passes through the second reimbursement access audit.
Optionally, the insured patient of the tracheopathy that default identification region is placed in by the identification of OCR identification method
The second insured data step include:
Scanning obtains the original image in the second insured data；
Image gray processing, noise reduction, gray processing and character cutting operation are carried out to the original image, after obtaining pretreatment
Original image；
By the neural network recognization model that prestores to the pretreated original image carry out statistical nature extract with
And structure feature is extracted, and characteristic image is obtained；
Information identification is carried out to the characteristic image by the hidden Ma Erfu model prestored, identification obtains the tracheopathy ginseng
The second insured data of patient is protected, and obtains the corresponding diagnosis hospital of the insured data.
Optionally, the neural network recognization model by prestoring counts the pretreated original image
Feature extraction and structure feature are extracted, and are obtained characteristic image step and are included: before
The type structure block letter picture word of the original image of Request qualification is corresponded to according to the processing that tracheopathy submits an expense account process
Library, and obtain data training set；
Initial network model is constructed, and training is iterated to the initial network model by the data training set,
Neural network recognization model is obtained, the neural network recognization model is set as the neural network recognization model prestored.
Optionally, the processing method of the tracheopathy reimbursement process further include:
If detecting, the insured patient of the tracheopathy is audited by the first reimbursement access audit or the second reimbursement access,
Obtain the insured patient of the tracheopathy by information, from described by extracting the insured patient of the tracheopathy in information by the
The audit grade that one reimbursement access audit or the second reimbursement access are examined；
The reimbursement ratio of the insured patient of the tracheopathy is determined based on the audit grade, it is insured to carry out the tracheopathy
The expense reimbursement of patient.
The present invention also provides a kind of processing unit of tracheopathy reimbursement process, the processing unit of the tracheopathy reimbursement process
Include:
First obtains module, for obtaining the tracheopathy report when receiving the process instruction of tracheopathy reimbursement process
Sell the source side of the process instruction of process；
First auditing module, if the process instruction for tracheopathy reimbursement process is associated with hospital from default,
The first insured data entrained by the process instruction of the tracheopathy reimbursement process is extracted, to be based on the described first insured data pair
The tracheopathy carries out the first reimbursement access audit；
Cue module, if the process instruction for tracheopathy reimbursement process derives from the insured patient of the tracheopathy,
Image information collecting prompt is exported, then to prompt the insured patient of the tracheopathy that the second insured data is placed in default cog region
Domain；
Second auditing module, for being placed in the tracheopathy ginseng of default identification region by the identification of OCR identification method
The second insured data of patient is protected, to carry out the second reimbursement access audit to the tracheopathy based on the described second insured data.
Optionally, first auditing module includes:
First extraction unit, for extracting the first insured money entrained by the process instruction of the tracheopathy reimbursement process
Material, and extract non-quantized achievement data and quantizating index data in the described first insured data；
Second extraction unit, for extracting the non-quantized of the insured patient of the tracheopathy from the non-quantized achievement data
The type of the type of the number of index and non-quantized index, number and non-quantized index based on the non-quantized index is sentenced
Whether the insured patient of the tracheopathy of breaking passes through the first audit；
Unit is audited, if for the insured patient of the tracheopathy by the first audit, to respectively measuring in quantizating index data
The indication range for changing index is audited, to judge whether the insured patient of the tracheopathy passes through the second audit；
First determination unit, if passing through the second audit for the insured patient of the tracheopathy, it is determined that the tracheopathy ginseng
It protects patient and passes through the first reimbursement access audit.
Optionally, second auditing module includes:
Acquiring unit, for being placed in the insured disease of the tracheopathy of default identification region by the identification of OCR identification method
The insured data of the second of people, and obtain the corresponding diagnosis hospital of the described second insured data；
Request confirmation unit, for sending the errorless request of the second insured data described in request confirmation to the diagnosis hospital
Confirmation instruction；
Second determination unit, if for receiving the confirmation nothing of the diagnosis hospital based on the request confirmation instruction feedback
When accidentally instructing, it is determined that the insured patient of tracheopathy passes through the second reimbursement access audit.
Optionally, the first acquisition unit includes:
Subelement is scanned, for scanning the original image obtained in the second insured data；
Subelement is pre-processed, for carrying out image gray processing, noise reduction, gray processing and character cutting to the original image
Operation, obtains pretreated original image；
Feature extraction subelement, for the neural network recognization model by prestoring to the pretreated original image
It carries out statistical nature extraction and structure feature is extracted, obtain characteristic image；
It identifies subelement, information identification, identification is carried out to the characteristic image for the hidden Ma Erfu model by prestoring
The second insured data of the insured patient of the tracheopathy is obtained, and obtains the corresponding diagnosis hospital of the insured data.
Optionally, the processing unit of the tracheopathy reimbursement process further include:
Second obtains module, the type of the original image of the corresponding Request qualification of the processing for submitting an expense account process according to tracheopathy
Block letter picture character library is constructed, and obtains data training set；
Module is constructed, for constructing initial network model, and by the data training set to the initial network model
It is iterated training, obtains neural network recognization model, the neural network recognization model is set as the nerve net prestored
Network identification model.
Optionally, the processing unit of the tracheopathy reimbursement process further include:
Detection module, if for detecting that the insured patient of the tracheopathy passes through the first reimbursement access audit or the second report
Sell access audit, then obtain the insured patient of the tracheopathy by information, from described by extracting the tracheopathy in information
The insured patient audit grade careful by the first reimbursement access audit or the second reimbursement access；
Module is submitted an expense account, for determining the reimbursement ratio of the insured patient of the tracheopathy based on the audit grade, to carry out
The expense reimbursement of the insured patient of tracheopathy.
In addition, to achieve the above object, the present invention also provides a kind of processing equipment of tracheopathy reimbursement process, the tracheaes
The processing equipment of disease reimbursement process includes: memory, processor, communication bus and the tracheopathy being stored on the memory
The processing routine of process is submitted an expense account,
The communication bus is for realizing the communication connection between processor and memory；
The processor is used to execute the processing routine of the tracheopathy reimbursement process, to perform the steps of
When receiving the process instruction of tracheopathy reimbursement process, the process instruction of the tracheopathy reimbursement process is obtained
Source side；
If the process instruction of the tracheopathy reimbursement process extracts the tracheopathy reimbursement from default association hospital
First insured data entrained by the process instruction of process, to carry out first to the tracheopathy based on the described first insured data
Submit an expense account access audit；
If the process instruction of the tracheopathy reimbursement process derives from the insured patient of the tracheopathy, image information is exported
Acquisition prompt, to prompt the insured patient of the tracheopathy that the second insured data is placed in default identification region；
The second insured money of the insured patient of the tracheopathy of default identification region is placed in by the identification of OCR identification method
Material, to carry out the second reimbursement access audit to the tracheopathy based on the described second insured data.
In addition, to achieve the above object, the present invention also provides a kind of readable storage medium storing program for executing, the readable storage medium storing program for executing storage
Have one perhaps more than one program the one or more programs can be held by one or more than one processor
Row is to be used for:
When receiving the process instruction of tracheopathy reimbursement process, the process instruction of the tracheopathy reimbursement process is obtained
Source side；
If the process instruction of the tracheopathy reimbursement process extracts the tracheopathy reimbursement from default association hospital
First insured data entrained by the process instruction of process, to carry out first to the tracheopathy based on the described first insured data
Submit an expense account access audit；
If the process instruction of the tracheopathy reimbursement process derives from the insured patient of the tracheopathy, image information is exported
Acquisition prompt, to prompt the insured patient of the tracheopathy that the second insured data is placed in default identification region；
The second insured money of the insured patient of the tracheopathy of default identification region is placed in by the identification of OCR identification method
Material, to carry out the second reimbursement access audit to the tracheopathy based on the described second insured data.
The present invention is by obtaining the tracheopathy reimbursement process when receiving the process instruction of tracheopathy reimbursement process
The source side of process instruction；If described in the process instruction of the tracheopathy reimbursement process from default association hospital, is extracted
Tracheopathy submits an expense account the first insured data entrained by the process instruction of process, to be based on the described first insured data to the tracheae
Disease carries out the first reimbursement access audit；If the process instruction of the tracheopathy reimbursement process derives from the insured disease of the tracheopathy
People exports image information collecting prompt, then to prompt the insured patient of the tracheopathy that the second insured data is placed in default knowledge
Other region；The second insured money of the insured patient of the tracheopathy of default identification region is placed in by the identification of OCR identification method
Material, to carry out the second reimbursement access audit to the tracheopathy based on the described second insured data.In this application, pass through tracheae
Sick medical treatment all-in-one machine is realized and provides two kinds of easily reimbursement access modes according to the selection of the insured patient of tracheopathy, is tracheae
The insured patient of disease both may be selected to extract the first insured data by the way that default association hospital is corresponding, to realize the first reimbursement of tracheopathy
Access can also be participated in by the insured patient of tracheopathy oneself, the functions such as identified by OCR on tracheopathy medical treatment all-in-one machine and realized
The second of tracheopathy submits an expense account access, and the reimbursement access method convenience in the application is good, and timeliness is strong, and no longer only needs gas
The insured patient of pipe disease submits insured data to people society unit scene, thus solves existing tracheopathy disease medical treatment reimbursement side
Formula resource consumption is more, the technical problem of convenience difference.
Detailed description of the invention
Fig. 1 is the flow diagram for the processing method first embodiment that tracheopathy of the present invention submits an expense account process；
Fig. 2 is that the present invention extracts the first insured data entrained by the process instruction of the tracheopathy reimbursement process, with base
The refinement flow diagram of the first reimbursement access audit step is carried out to the tracheopathy in the described first insured data；
Fig. 3 is the device structure schematic diagram for the hardware running environment that present invention method is related to.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The present invention provides a kind of processing method of tracheopathy reimbursement process, in the processing side of tracheopathy of the present invention reimbursement process
In the first embodiment of method, the processing method of the tracheopathy reimbursement process is applied to tracheopathy medical treatment all-in-one machine, referring to Fig.1,
The processing method of tracheopathy reimbursement process includes:
Step S10 obtains the place of the tracheopathy reimbursement process when receiving the process instruction of tracheopathy reimbursement process
Manage the source side of instruction；
Step S20, if the process instruction of tracheopathy reimbursement process extracts the gas from default association hospital
Pipe disease submits an expense account the first insured data entrained by the process instruction of process, to be based on the described first insured data to the tracheopathy
Carry out the first reimbursement access audit；
Step S30 is exported if the process instruction of tracheopathy reimbursement process derives from the insured patient of the tracheopathy
Image information collecting prompt, to prompt the insured patient of the tracheopathy that the second insured data is placed in default identification region；
Step S40 is placed in the of the insured patient of the tracheopathy of default identification region by the identification of OCR identification method
Two insured data, to carry out the second reimbursement access audit to the tracheopathy based on the described second insured data.
Specific step is as follows:
Step S10 obtains the place of the tracheopathy reimbursement process when receiving the process instruction of tracheopathy reimbursement process
Manage the source side of instruction；
Tracheopathy medical treatment all-in-one machine both can carry out communication interaction with default association hospital, can also be with the insured disease of tracheopathy
People interacts, and for different interaction sources, tracheopathy medical treatment all-in-one machine is preset with different interaction process logics.
Specifically, when receiving the process instruction of tracheopathy reimbursement process, the place of the tracheopathy reimbursement process is obtained
Manage the source side of instruction, wherein the process instruction of tracheopathy reimbursement process can be the insured patient of tracheopathy and cure in tracheopathy
On the display interface for treating all-in-one machine, the processing that process is submitted an expense account by clicking tracheopathy requests button to trigger, and is also possible to
In tracheopathy medical treatment all-in-one machine after the processing request for monitoring the tracheopathy reimbursement process that default association hospital sends, trigger
It arrives, in the process instruction of tracheopathy reimbursement process, both carries insured data required for reimbursement access, also carry and
Source mark can recognize that the instruction is derived from default association hospital and is also derived from the insured disease of tracheopathy according to the source identification
People.
In the present embodiment, it by tracheopathy medical treatment all-in-one machine, realizes and provides two according to the selection of the insured patient of tracheopathy
Kind easily submits an expense account access mode；
Mode one: step S20, if the process instruction of tracheopathy reimbursement process is mentioned from default association hospital
The first insured data entrained by the process instruction of the tracheopathy reimbursement process is taken, to be based on the described first insured data to institute
It states tracheopathy and carries out the first reimbursement access audit；
For mode one: the insured patient of tracheopathy realizes reimbursement access, specifically, institute in an area by hospital
Hospital system can be formed by hospital, each hospital in the hospital system is all default association hospital, for the hospital system
For interior hospital, as long as obtaining in real time after making a definite diagnosis patient and being the insured patient of tracheopathy and recording the insured patient of the tracheopathy
Idagnostic logout and treatment record, to obtain the first insured data of the insured patient of tracheopathy, obtaining, the tracheopathy is insured
It is insured in determining time point such as every month 1 or the real-time transmission insured patient of tracheopathy after the insured data of the first of patient
Data, and the synchronous process instruction for generating tracheopathy reimbursement process, if thus the process instruction of tracheopathy reimbursement process come
Derived from default association hospital, then the first insured data entrained by the process instruction of the tracheopathy reimbursement process is extracted, wherein
First insured data refers to that the data being entirely derived from default association doctor is based on described first after obtaining the first data
Insured data carries out the first reimbursement access audit to the tracheopathy.
Specifically, referring to Fig. 2, the extraction tracheopathy submits an expense account the first insured money entrained by the process instruction of process
Material, to include: to tracheopathy progress the first reimbursement access audit step based on the described first insured data
Step S21 extracts the first insured data entrained by the process instruction of the tracheopathy reimbursement process, and extracts institute
State the non-quantized achievement data and quantizating index data in the first insured data；
First insured data includes non-quantized achievement data and quantizating index data, wherein is for determining slow disease
It is for the tracheopathy in the present embodiment, non-quantized index and quantizating index are prestored and determined, what non-quantized index referred to
It is that the index such as doctor that image data is either not present in not quantifiable index in idagnostic logout and treatment record auscultates
As a result, examining report etc., the corresponding data of non-quantized index are non-quantizating index data, and quantizating index refers to quantifiable indicator
Namely there are the indexs of raw image data, such as the first ratio of residual volume and total lung capacity, first second firmly to breathe volume
With the second ratio etc. of first second forced vital capacity, the corresponding data of quantizating index are quantizating index data, for tracheopathy
For medical all-in-one machine, as long as receiving the first insured data of the insured patient of tracheopathy sent in default association hospital,
That is, as long as the non-quantized achievement data of the insured patient of tracheopathy sent in the default association hospital of real-time reception and quantization refer to
Mark data.
Step S22 extracts the number of the non-quantized index of the insured patient of the tracheopathy from the non-quantized achievement data
The type of the type of mesh and non-quantized index, number and non-quantized index based on the non-quantized index judges the gas
Whether the insured patient of pipe disease passes through the first audit；
In the present embodiment, after the non-quantized achievement data and quantizating index data for obtaining the insured patient of tracheopathy,
The first audit first is carried out to the insured patient of tracheopathy, if the audit fails by the insured patient first of tracheopathy, is no longer carried out subsequent
Auditing flow if tracheopathy insured patient first audit passes through, then carry out subsequent auditing flow to economize on resources,
In, first audit audit be the insured patient of tracheopathy the first insured data it is whether complete, namely audit the insured disease of tracheopathy
Whether the type of the non-quantized index number of people and non-quantized index meets preset requirement.For example, first determining whether non-quantized index
Whether number is greater than preset number, for example, if it is 4 that tracheopathy medical treatment all-in-one machine, which needs non-quantized index number, when non-quantized
When index number is greater than 4, that is, the step of whether specific non-quantized pointer type of subsequent judgement meets the requirements can be performed, if specifically
Non-quantized pointer type be satisfactory, it is determined that the insured patient of tracheopathy by first audit.
Step S23, if the insured patient of the tracheopathy audits by first, to each quantizating index in quantizating index data
Indication range audited, to judge whether the insured patient of the tracheopathy passes through the second audit；
If the insured patient of tracheopathy is by the first audit, to the index model of each quantizating index in quantizating index data
It encloses and is audited, to judge whether the insured patient of the tracheopathy passes through the second audit, wherein for each quantizating index number
According to, all there is default review scope standard in tracheopathy medical treatment all-in-one machine, thus, after obtaining quantizating index data, to quantization
The indication range of each quantizating index in achievement data is audited, and judges to quantify each quantizating index in achievement data
Indication range whether all in default review scope standard, to judge whether the insured patient of the tracheopathy passes through the second instance
Core, if the indication range of each quantizating index in quantizating index data in default review scope standard, determine described in
The insured patient of tracheopathy is by the second audit, and the indication range of any one quantizating index is not in default review scope mark if it exists
In standard, then determine that the insured patient of the tracheopathy does not pass through the second audit.
Step S24, if the insured patient of the tracheopathy passes through the second audit, it is determined that the insured patient of tracheopathy passes through
First reimbursement access audit.
If the insured patient of tracheopathy audits by described second, it is determined that the insured patient of tracheopathy passes through access
Reimbursement audit, if the insured patient of the tracheopathy does not pass through the second audit, the not reimbursement of the insured patient of tracheopathy described in access.
In the present embodiment, if the process instruction of tracheopathy reimbursement process derives from the insured patient of the tracheopathy, may be used also
Access audit is carried out with pass-through mode two, specific as follows:
Mode two: step S30, if the process instruction of tracheopathy reimbursement process derives from the insured disease of the tracheopathy
People exports image information collecting prompt, then to prompt the insured patient of the tracheopathy that the second insured data is placed in default knowledge
Other region；
If the process instruction of the tracheopathy reimbursement process derives from the insured patient of the tracheopathy, in tracheopathy medical treatment
Image information collecting prompt is carried out by voice either textual form on all-in-one machine, image information collecting prompt includes wait adopt
The image type of collection, the contents such as acquisition order of each image to be collected, to prompt the insured patient of the tracheopathy by second
Insured data is placed in default identification region according to acquisition order.
Step S40 is placed in the of the insured patient of the tracheopathy of default identification region by the identification of OCR identification method
Two insured data, to carry out the second reimbursement access audit to the tracheopathy based on the described second insured data.
After the second insured data is placed in default identification region by the insured patient of the tracheopathy, pass through the identification side OCR
Formula identification is placed in the second insured data of the insured patient of the tracheopathy of default identification region, specifically, OCR identification method
Including being scanned to the second insured data, the processing such as initialization and binaryzation, the tool of the second insured data is obtained with identification
Hold in vivo.
The second ginseng of the insured patient of the tracheopathy that default identification region is placed in by the identification of OCR identification method
Guarantor's data, to include: to tracheopathy progress the second reimbursement access audit step based on the described second insured data
Step S41 is placed in the of the insured patient of the tracheopathy of default identification region by the identification of OCR identification method
Two insured data, and obtain the corresponding diagnosis hospital of the described second insured data；
In the present embodiment, the insured disease of the tracheopathy of default identification region is placed in by the identification of OCR identification method
After the insured data of the second of people, is extracted from the second insured data and obtain the corresponding diagnosis hospital of the described second insured data.
Step S42 sends the errorless request confirmation instruction of the second insured data described in request confirmation to the diagnosis hospital；
After obtaining diagnosis hospital, the errorless request confirmation of the insured data of request confirmation second is sent to the diagnosis hospital and is referred to
It enables, specifically it is errorless to send the insured data of request confirmation second to the corresponding department of insured data provider or doctor
Request confirmation instruction, wherein include the particular content for the second insured data that need to be confirmed in request confirmation instruction.
Step S43, if receive the confirmation of the diagnosis hospital based on the request confirmation instruction feedback errorless instruction,
Then determine that the insured patient of the tracheopathy passes through the second reimbursement access audit.
If receive confirmation of the diagnosis hospital based on request confirmation instruction feedback errorless instruction, illustrate the second insured money
Material is accurately, it is determined that the insured patient of tracheopathy is by the second reimbursement access audit, if receiving the diagnosis
Hospital based on the request confirmation instruction feedback wrong instruction when, it is determined that the insured patient of tracheopathy does not pass through the second report
Sell access audit.
The present invention is by obtaining the tracheopathy reimbursement process when receiving the process instruction of tracheopathy reimbursement process
The source side of process instruction；If described in the process instruction of the tracheopathy reimbursement process from default association hospital, is extracted
Tracheopathy submits an expense account the first insured data entrained by the process instruction of process, to be based on the described first insured data to the tracheae
Disease carries out the first reimbursement access audit；If the process instruction of the tracheopathy reimbursement process derives from the insured disease of the tracheopathy
People exports image information collecting prompt, then to prompt the insured patient of the tracheopathy that the second insured data is placed in default knowledge
Other region；The second insured money of the insured patient of the tracheopathy of default identification region is placed in by the identification of OCR identification method
Material, to carry out the second reimbursement access audit to the tracheopathy based on the described second insured data.In this application, pass through tracheae
Sick medical treatment all-in-one machine is realized and provides two kinds of easily reimbursement access modes according to the selection of the insured patient of tracheopathy, is tracheae
The insured patient of disease both may be selected to extract the first insured data by the way that default association hospital is corresponding, to realize the first reimbursement of tracheopathy
Access can also be participated in by the insured patient of tracheopathy oneself, the functions such as identified by OCR on tracheopathy medical treatment all-in-one machine and realized
The second of tracheopathy submits an expense account access, and the reimbursement access method convenience in the application is good, and timeliness is strong, and no longer only needs gas
The insured patient of pipe disease submits insured data to people society unit scene, thus solves existing tracheopathy disease medical treatment reimbursement side
Formula resource consumption is more, the technical problem of convenience difference.
Further, the present invention provides another embodiment of the processing method of tracheopathy reimbursement process, in this embodiment,
The second insured data of the insured patient of the tracheopathy that default identification region is placed in by the identification of OCR identification method walks
Suddenly include:
Step S44, scanning obtain the original image in the second insured data；
After the second insured data is placed in default identification region by the insured patient of the tracheopathy, tracheopathy medical treatment one
Machine by infrared sensor (or pressure sensor) detect identification region there are certificate either other second insured data
When, scan the original image that the described second insured data of default identification region is placed in described in obtaining, wherein medical all-in-one machine
On be to preset OCR equipment, starting OCR equipment scanning function after, can scan acquisition described in be placed in default knowledge
The original image of the described second insured data in other region.
Step S45 carries out image gray processing, noise reduction, gray processing and character cutting to the original image and operates, obtains
Pretreated original image；
Above-mentioned steps S45 is to the pretreated process of original image progress, the preprocessing process of original image, mainly
In order to reduce the garbage of image, pretreated original image is obtained, after obtaining pretreated original image, is convenient for
Subsequent processing.In the present embodiment, the content distribution of specific second insured data has certain rule, therefore, to
It, can be according to the type of the second insured data original image, to the second insured money when two insured data original images are pre-processed
The original image of material carries out region division, marks off the effective coverage including effective insured data information, the figure of the effective coverage
As can be described as effective image, subsequent character feature extraction and identification then are carried out for the effective image again, such as to identity
For card, name, gender, nationality, birth, address etc. are located at the positive left side of identity card, and identification card number is then being located at identity card just
The middle and lower part in face is based on the rule, can divide to ID Card Image, to obtain out effective image, then to the part
Effective image is targetedly handled, to reduce data calculating and treating capacity, improves recognition efficiency.Certainly, image is pre-
Processing can be operated with other steps, such as image gray processing, noise reduction, character cutting etc..Wherein, gray processing refers to the second ginseng
Guarantor's data original image is converted into the bianry image containing only two kinds of black-white colors, this is because color image information contained amount is huge
Greatly, calculation amount can also increase with it when carrying out subsequent processing to it, the time of cost also can side length, therefore for improve processing and know
Other efficiency first can carry out gray processing processing to cromogram, and character cutting then refers to a series of character being divided into single tool
There is the word (or word, number) of determining meaning, then it is identified.
It is special to carry out statistics to the pretreated original image by the neural network recognization model prestored by step S46
Sign is extracted and structure feature is extracted, and obtains characteristic image；
After obtaining pretreated original image, by the neural network recognization model that prestores to described pretreated
Original image carries out statistical nature extraction and structure feature is extracted, and obtains characteristic image, wherein the neural network recognization prestored
Model is the trained model for being able to carry out statistical nature extraction and structure feature extraction.
When obtaining pretreated original image, can be mentioned to character feature is carried out in pretreated original image
It takes.It is the main foundation identified that character feature, which can be said, and easy distinguish can be divided into two classes: one is the feature of statistics, such as literal field
Black/white points ratio in domain, when text is distinguished into several regions, black/white points in region are combined one by one for this, just at sky
Between a numerical value vector；And the feature that another category feature is structure obtains the stroke end of word after text image graph thinning
Point, the quantity in crosspoint and position, can be obtained stroke feature namely structure feature.
After obtaining structure feature and character feature, in conjunction with characteristic image can be obtained.
Specifically, the neural network recognization model by prestoring counts the pretreated original image
Feature extraction and structure feature are extracted, and are obtained characteristic image step and are included: before
Step A1 corresponds to the type structure block letter of the original image of Request qualification according to the processing that tracheopathy submits an expense account process
Picture character library, and obtain data training set；
Before obtaining being able to carry out the neural network model that statistical nature extracts and structure feature is extracted, need to obtain number
According to training set, it is illustrated by taking the identification of lung function report as an example in the present embodiment.In the OCR identification reported for lung function,
Firstly the need of the data training set for establishing training pattern for identification；In view of the text information in lung function report has printing
Body also has the non-printing body that doctor is hand-written, it is therefore desirable to generate printed Chinese character picture character library and non-printing body Chinese character picture
The block letter of collection and non-printing body Chinese character are written to the data file of script by character library, then pass through Python image library
(PIL) it reads the Chinese character in data file and generates the output of font picture, and font picture is stored classifiedly in order to get arriving
Data training set.
Step A2 constructs initial network model, and is changed by the data training set to the initial network model
Generation training, obtains neural network recognization model, and the neural network recognization model is set as the neural network recognization prestored
Model.
Before obtaining neural network recognization model, needs to construct initial network model, caffe frame can be used in the present embodiment
Building and training network model, wherein Caffe is an open source library of current deep learning field mainstream, using C++ and CUDA
It realizes, support MATLAB and Python interface, speed is fast, opening is good, is easy to modularization expansion；Due to direct in Caffe
Lmdb leveldb file is used, therefore needs for picture file to be converted to db file before training, allows Caffe can
Identification (the convert_imageset.cpp tool class file that Caffe can be used directly in the conversion process is realized).In view of the Chinese
The relatively other letters of the stroke and structure of word will more aobvious complexity, therefore the initial network model constructed can be profound net
Network model, such as the convolutional neural networks of multilayer.After constructing initial network model, data training set can be input to original net
It is iterated training in network network model and to it, during repetitive exercise, hardly possible is also increased and divides sample training ratio data
Training, wherein difficult point sample data refers to training result and the inconsistent data of actual result, when training to a certain degree
(the number of iterations that can be of the degree is measured, and is also possible to be characterized with other precision parameters), i.e., it is believed that the mould needed
Type.
Step S47 carries out information identification to the characteristic image by the hidden Ma Erfu model prestored, obtains the tracheae
The second insured data of the insured patient of disease, and obtain the corresponding diagnosis hospital of the insured data.
Information identification is carried out to the characteristic image by the hidden Ma Erfu model prestored, obtains the insured disease of the tracheopathy
The insured data of the second of people, and obtain the corresponding diagnosis hospital of the insured data.
In the present embodiment, after obtaining characteristic image, by the hidden Ma Erfu model that prestores to the characteristic image into
Row information identification, obtains the second insured data of the insured patient of the tracheopathy, and obtain the corresponding diagnosis of the insured data
Hospital, wherein the hidden Ma Erfu model prestored is the voice of trained completion and Text region model.
In the present embodiment, after the original image that scanning obtains in the second insured data；To the original image
Image gray processing, noise reduction, gray processing and character cutting operation are carried out, pretreated original image is obtained；Again by prestoring
Neural network recognization model statistical nature extraction is carried out to the pretreated original image and structure feature is extracted, obtain
To characteristic image；Information identification is carried out to the characteristic image by the hidden Ma Erfu model prestored again, finally identification obtains institute
The second insured data of the insured patient of tracheopathy is stated, and obtains the corresponding diagnosis hospital of the insured data, in the present embodiment,
By specific OCR identification process, accurately identify to obtain diagnosis hospital, thus the insured patient of tracheopathy does not need to be arrived again to people society list
Second insured data submission can also be realized reimbursement by position scene, avoided the resource consumption of tracheopathy reimbursement, improved reimbursement effect
Rate.
Further, the present invention provides another embodiment of the processing method of tracheopathy reimbursement process, in this embodiment,
The processing method of the tracheopathy reimbursement process further include:
Step B1, if detecting, the insured patient of the tracheopathy passes through the first reimbursement access audit or the second reimbursement access
Audit, then obtain the insured patient of the tracheopathy by information, from described by extracting the insured disease of the tracheopathy in information
People's audit grade careful by the first reimbursement access audit or the second reimbursement access；
If detecting, the insured patient of the tracheopathy is audited by the first reimbursement access audit or the second reimbursement access,
Obtain the insured patient of the tracheopathy by information, should be by carrying audit grade in information, which includes general
Logical grade and menace level.
Step B2 determines the reimbursement ratio of the insured patient of the tracheopathy, based on the audit grade to carry out the gas
The expense reimbursement of the insured patient of pipe disease.
The reimbursement ratio of the insured patient of the tracheopathy is determined based on the audit grade, it is insured to carry out the tracheopathy
The expense reimbursement of patient, wherein the reimbursement ratio of menace level is higher than the reimbursement ratio of common grade.
In the present embodiment, if by detecting that the insured patient of the tracheopathy passes through the first reimbursement access audit or the
Two reimbursement accesses audit, then obtain the insured patient of the tracheopathy by information, from described by extracting the gas in information
The insured patient of the pipe disease audit grade careful by the first reimbursement access audit or the second reimbursement access；Based on the audit grade
The reimbursement ratio of the insured patient of the tracheopathy is determined, to carry out the expense reimbursement of the insured patient of the tracheopathy.The present embodiment
In, tracheopathy difference serious conditions are carried out with the reimbursement of different proportion, thus, improve the validity of tracheopathy reimbursement.
Referring to Fig. 3, Fig. 3 is the device structure schematic diagram for the hardware running environment that the embodiment of the present invention is related to.
The processing equipment of tracheopathy of embodiment of the present invention reimbursement process can be PC, be also possible to smart phone, plate electricity
Brain, E-book reader, MP3 (Moving Picture Experts Group Audio Layer III, dynamic image expert
Compression standard audio level 3) player, MP4 (Moving Picture Experts Group Audio Layer IV, dynamic
Image expert's compression standard audio level 4) ustomer premises access equipments such as player, portable computer.
As shown in figure 3, the processing equipment of tracheopathy reimbursement process may include: processor 1001, such as CPU, storage
Device 1005, communication bus 1002.Wherein, communication bus 1002 is for realizing the connection between processor 1001 and memory 1005
Communication.Memory 1005 can be high speed RAM memory, be also possible to stable memory (non-volatile memory),
Such as magnetic disk storage.Memory 1005 optionally can also be the storage equipment independently of aforementioned processor 1001.
Optionally, the processing equipment of tracheopathy reimbursement process can also include target user interface, network interface, camera shooting
Head, RF (Radio Frequency, radio frequency) circuit, sensor, voicefrequency circuit, WiFi module etc..Target user interface can be with
Including display screen (Display), input submodule, it to be used for such as keyboard (Keyboard), optional target user interface can be with
Including standard wireline interface and wireless interface.Network interface optionally may include standard wireline interface and wireless interface (such as
WI-FI interface).
It will be understood by those skilled in the art that the processing equipment structure not structure of the reimbursement process of tracheopathy shown in Fig. 3
The restriction of the processing equipment of pairs of tracheopathy reimbursement process, may include components more more or fewer than diagram, or combine certain
A little components or different component layouts.
As shown in figure 3, as may include that operating system, network are logical in a kind of memory 1005 of computer storage medium
Believe the processing routine of module and tracheopathy reimbursement process.Operating system be manage and control tracheopathy reimbursement process processing set
The program of standby hardware and software resource supports the processing routine of tracheopathy reimbursement process and the fortune of other softwares and/or program
Row.Network communication module submits an expense account process for realizing the communication between the 1005 each component in inside of memory, and with tracheopathy
It is communicated between other hardware and softwares in processing equipment.
In the processing equipment of tracheopathy reimbursement process shown in Fig. 3, processor 1001 is for executing in memory 1005
The processing routine of the tracheopathy reimbursement process of storage, realizes the processing method of tracheopathy reimbursement process described in any of the above embodiments
Step.
The processing of the processing equipment specific embodiment and above-mentioned tracheopathy reimbursement process of tracheopathy reimbursement process of the present invention
Each embodiment of method is essentially identical, and details are not described herein.
The present invention also provides a kind of processing unit of tracheopathy reimbursement process, the processing dress of tracheopathy reimbursement process
The server end applied to application is set, the processing unit of the tracheopathy reimbursement process includes:
When receiving the process instruction of tracheopathy reimbursement process, the process instruction of the tracheopathy reimbursement process is obtained
Source side；
If the process instruction of the tracheopathy reimbursement process extracts the tracheopathy reimbursement from default association hospital
First insured data entrained by the process instruction of process, to carry out first to the tracheopathy based on the described first insured data
Submit an expense account access audit；
If the process instruction of the tracheopathy reimbursement process derives from the insured patient of the tracheopathy, image information is exported
Acquisition prompt, to prompt the insured patient of the tracheopathy that the second insured data is placed in default identification region；
The second insured money of the insured patient of the tracheopathy of default identification region is placed in by the identification of OCR identification method
Material, to carry out the second reimbursement access audit to the tracheopathy based on the described second insured data.
The processing of the processing unit specific embodiment and above-mentioned tracheopathy reimbursement process of tracheopathy reimbursement process of the present invention
Each embodiment of method is essentially identical, and details are not described herein.
The present invention provides a kind of readable storage medium storing program for executing, the readable storage medium storing program for executing is stored with one or more than one journey
Sequence, the one or more programs can also be executed by one or more than one processor for realizing above-mentioned
Tracheopathy described in one submits an expense account the step of processing method of process.
Each embodiment of processing method of readable storage medium storing program for executing specific embodiment of the present invention and above-mentioned tracheopathy reimbursement process
Essentially identical, details are not described herein.
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 similarly includes in patent process range of the invention.
Claims (10)
1. a kind of processing method of tracheopathy reimbursement process, which is characterized in that the processing method of the tracheopathy reimbursement process is answered
For tracheopathy medical treatment all-in-one machine, the processing method of the tracheopathy reimbursement process includes:
When receiving the process instruction of tracheopathy reimbursement process, the source of the process instruction of the tracheopathy reimbursement process is obtained
Side；
If the process instruction of the tracheopathy reimbursement process extracts the tracheopathy reimbursement process from default association hospital
Process instruction entrained by the first insured data, with based on the described first insured data to the tracheopathy carry out first reimbursement
Access audit；
If the process instruction of the tracheopathy reimbursement process derives from the insured patient of the tracheopathy, image information collecting is exported
Prompt, to prompt the insured patient of the tracheopathy that the second insured data is placed in default identification region；
The second insured data of the insured patient of the tracheopathy of default identification region is placed in by the identification of OCR identification method,
To carry out the second reimbursement access audit to the tracheopathy based on the described second insured data.
2. the processing method of tracheopathy reimbursement process as described in claim 1, which is characterized in that described to extract the tracheopathy
The first insured data entrained by the process instruction of process is submitted an expense account, to carry out based on the described first insured data to the tracheopathy
First reimbursement access audits step and includes:
The first insured data entrained by the process instruction of the tracheopathy reimbursement process is extracted, and extracts the described first insured money
Non-quantized achievement data and quantizating index data in material；
The number of the non-quantized index of the insured patient of the tracheopathy and non-quantized is extracted from the non-quantized achievement data
The type of the type of index, number and non-quantized index based on the non-quantized index judges the insured patient of the tracheopathy
Whether the first audit is passed through；
If the insured patient of tracheopathy by the first audit, to the indication range of each quantizating index in quantizating index data into
Row audit, to judge whether the insured patient of the tracheopathy passes through the second audit；
If the insured patient of tracheopathy passes through the second audit, it is determined that the insured patient of tracheopathy passes through the first reimbursement access
Audit.
3. the processing method of tracheopathy reimbursement process as described in claim 1, which is characterized in that described to pass through the identification side OCR
Formula identification is placed in the second insured data of the insured patient of the tracheopathy of default identification region, with insured based on described second
Data carries out the second reimbursement access audit step to the tracheopathy
The second insured data of the insured patient of the tracheopathy of default identification region is placed in by the identification of OCR identification method,
And obtain the corresponding diagnosis hospital of the described second insured data；
The errorless request confirmation instruction of the second insured data described in request confirmation is sent to the diagnosis hospital；
If receive the confirmation of the diagnosis hospital based on the request confirmation instruction feedback errorless instruction, it is determined that the gas
The insured patient of pipe disease passes through the second reimbursement access audit.
4. the processing method of tracheopathy reimbursement process as claimed in claim 3, which is characterized in that described to pass through the identification side OCR
Formula identifies that the second insured data step for the insured patient of the tracheopathy for being placed in default identification region includes:
Scanning obtains the original image in the second insured data；
Image gray processing, noise reduction, gray processing and character cutting operation are carried out to the original image, obtain pretreated original
Beginning image；
Statistical nature extraction and knot are carried out to the pretreated original image by the neural network recognization model prestored
Structure feature extraction, obtains characteristic image；
Information identification is carried out to the characteristic image by the hidden Ma Erfu model prestored, obtains the insured patient's of the tracheopathy
Second insured data, and obtain the corresponding diagnosis hospital of the insured data.
5. the processing method of tracheopathy reimbursement process as claimed in claim 4, which is characterized in that the nerve by prestoring
Network Recognition model carries out statistical nature extraction to the pretreated original image and structure feature is extracted, and obtains feature
Include: before image step
The type structure block letter picture character library of the original image of Request qualification is corresponded to according to the processing that tracheopathy submits an expense account process, and
Obtain data training set；
Initial network model is constructed, and training is iterated to the initial network model by the data training set, is obtained
The neural network recognization model is set as the neural network recognization model prestored by neural network recognization model.
6. the processing method of tracheopathy reimbursement process as described in claim 1, which is characterized in that the tracheopathy submits an expense account process
Processing method further include:
If detecting, the insured patient of the tracheopathy by the first reimbursement access audit or the second reimbursement access audit, is obtained
The insured patient of tracheopathy by information, pass through the first report by extracting the insured patient of the tracheopathy in information from described
Sell the audit grade that access is audited or the second reimbursement access is careful；
Determine the reimbursement ratio of the insured patient of the tracheopathy, based on the audit grade to carry out the insured patient of the tracheopathy
Expense reimbursement.
7. a kind of processing unit of tracheopathy reimbursement process, which is characterized in that the processing unit packet of the tracheopathy reimbursement process
It includes:
First obtains module, for obtaining the tracheopathy reimbursement stream when receiving the process instruction of tracheopathy reimbursement process
The source side of the process instruction of journey；
First auditing module, if the process instruction for tracheopathy reimbursement process is extracted from default association hospital
First insured data entrained by the process instruction of the tracheopathy reimbursement process, to be based on the described first insured data to described
Tracheopathy carries out the first reimbursement access audit；
Cue module, it is defeated if the process instruction for tracheopathy reimbursement process derives from the insured patient of the tracheopathy
Image information collecting prompts out, to prompt the insured patient of the tracheopathy that the second insured data is placed in default identification region；
Second auditing module, for being placed in the insured disease of the tracheopathy of default identification region by the identification of OCR identification method
The insured data of the second of people, to carry out the second reimbursement access audit to the tracheopathy based on the described second insured data.
8. the processing unit of tracheopathy reimbursement process as claimed in claim 7, which is characterized in that the first auditing module packet
It includes:
First extraction unit, for extracting the first insured data entrained by the process instruction of the tracheopathy reimbursement process, and
Extract the non-quantized achievement data and quantizating index data in the described first insured data；
Second extraction unit, for extracting the non-quantized index of the insured patient of the tracheopathy from the non-quantized achievement data
Number and non-quantized index type, the type of number and non-quantized index based on the non-quantized index judges institute
State whether the insured patient of tracheopathy passes through the first audit；
First audit unit, if for the insured patient of the tracheopathy by the first audit, to respectively being measured in quantizating index data
The indication range for changing index is audited, to judge whether the insured patient of the tracheopathy passes through the second audit；
Determination unit, if passing through the second audit for the insured patient of the tracheopathy, it is determined that the insured patient of tracheopathy is logical
Cross the first reimbursement access audit.
9. a kind of processing equipment of tracheopathy reimbursement process, which is characterized in that the processing equipment packet of the tracheopathy reimbursement process
It includes: memory, processor, the processing routine of communication bus and the tracheopathy being stored on memory reimbursement process,
The communication bus is for realizing the communication connection between processor and memory；
The processor is used to execute the processing routine of the tracheopathy reimbursement process, to realize as any in claim 1-6
The step of processing method of tracheopathy reimbursement process described in.
10. a kind of readable storage medium storing program for executing, which is characterized in that be stored with the place of tracheopathy reimbursement process on the readable storage medium storing program for executing
Program is managed, the processing routine of the tracheopathy reimbursement process is realized when being executed by processor such as any one of claim 1-6 institute
The step of processing method for the tracheopathy reimbursement process stated.
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