CN110473623A - Medical service system - Google Patents
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- CN110473623A CN110473623A CN201910640923.6A CN201910640923A CN110473623A CN 110473623 A CN110473623 A CN 110473623A CN 201910640923 A CN201910640923 A CN 201910640923A CN 110473623 A CN110473623 A CN 110473623A
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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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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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
- G16H30/00—ICT specially adapted for the handling or processing of medical images
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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
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
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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
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Abstract
This application involves a kind of medical service systems, while carrying out data processing by cloud processing module, also the data-handling efficiency of cloud processing module is improved so as to help to mitigate the data processing pressure of cloud processing module using the edge calculations processing that edge calculations module carries out data.In addition, being communicated between module by 5G network, data transmission bauds can be improved, guarantee the timeliness communicated between module, further increase data-handling efficiency.
Description
Technical field
This application involves field of medical technology, more particularly to a kind of medical service system.
Background technique
Intelligent medical treatment (Wise Information Technology of 120, WIT120) is the proprietary doctor risen recently
Noun is treated, by making health account area medical information platform, using state-of-the-art technology of Internet of things, realizes patient and medical matters
Personnel, medical institutions, the interaction between Medical Devices, to achieve the purpose that informationization.
The prior art is obtained by platform a series of first when providing the service of corresponding intelligent medical treatment by medical platform
Medical data, then platform handles the data of acquisition, finally returns to corresponding data processed result.However, with doctor
The data volume of the development for the treatment of technology, medical data constantly increases, and the data processing pressure of platform is also continuously increased, to reduce flat
The data-handling efficiency of platform.
Summary of the invention
Based on this, it is necessary to which in view of the problems of the existing technology, providing one kind helps to mitigate platform data processing pressure
Power, the medical service system for improving data-handling efficiency.
A kind of medical service system, comprising: edge calculations module and cloud processing module；
The edge calculations module carries out edge calculations processing for obtaining data, according to the data, and by the place
Reason result is sent to cloud processing module；
The cloud processing module is for storing the processing result, and acquisition medical data, according to the medical data
And the processing result carries out cloud computing processing；
The edge calculations module is based on 5G network with the cloud processing module and is communicated.
In one of the embodiments, further include: mobile edge module；
The mobile edge module is sent to the cloud processing module for obtaining individual health data, described in reception
The data processed result that cloud processing module is returned according to the individual health data；And it is carried out with the edge calculations module a
People's health data synchronization process；
The mobile edge module is based on 5G network with the edge calculations module and the cloud processing module and is led to
Letter.
The edge calculations module includes: medical scanning equipment in one of the embodiments, for obtaining the doctor of patient
The device status information of scan data and equipment itself is treated, and the medical scan data and device status information are sent
To the cloud processing module.
The edge calculations module in one of the embodiments, further include: service centre's edge cells, being used for will be described
Personal health information in medical scan data is sent to the cloud processing module, according to the device status information to the doctor
It treats scanning device and carries out device status monitoring and equipment periodic management, and the medical scan data is pre-processed.
The edge calculations module in one of the embodiments, further include: machine learning edge cells, for from advance
Training data is screened in medical scanning data after reason, and carries out edge side according to the pretreated medical scanning data
Machine learning model training, and the training data and trained machine learning model are sent to the cloud and handle mould
Block.
The cloud processing module includes: cloud unit in one of the embodiments, for for the edge calculations module with
And the mobile edge module provides gateway, application programming interface and data space.
The cloud processing module includes: service centre's unit in one of the embodiments, for being swept according to the medical treatment
The device status information for retouching equipment transmission carries out device status monitoring and equipment periodic pipe to the medical scanning equipment
Reason, and for providing medical image intelligent use for the edge calculations module.
The cloud processing module includes: artificial intelligence unit in one of the embodiments, for according to the trained number
According to neural metwork training, and building machine learning frame is carried out, the machine learning frame is for carrying out medical image algorithm
Training.
The cloud processing module includes: personal health service unit in one of the embodiments, for receiving described
People's health data obtains corresponding health care information and/or therapy rehabilitation information according to the individual health data, and by institute
It states health care information and/or therapy rehabilitation information is sent to the mobile edge module.
The mobile edge module is mobile terminal in one of the embodiments,.
Above-mentioned medical service system also uses edge calculations mould while carrying out data processing by cloud processing module
The edge calculations processing that block carries out data improves at cloud so as to help to mitigate the data processing pressure of cloud processing module
Manage the data-handling efficiency of module.In addition, being communicated between module by 5G network, data transmission bauds can be improved, protect
The timeliness communicated between card module, further increases data-handling efficiency.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of medical service system in one embodiment；
Fig. 2 is the structural schematic diagram of medical service system in another embodiment；
Fig. 3 is the structural schematic diagram of edge calculations module in one embodiment；
Fig. 4 is the structural schematic diagram of one embodiment medium cloud processing module；
Fig. 5 is the structural schematic diagram of the medical service system based on 5G communication network in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not
For limiting the application.
In one embodiment, as shown in Figure 1, providing a kind of medical service system, which includes: edge calculations module
100 and cloud processing module 200.
Edge calculations module 100 carries out edge calculations processing for obtaining data, according to data, and processing result is sent
To cloud processing module 200.
Specifically, edge calculations refer in the side close to object or data source header, using network, calculating, storage, using core
The open platform that heart ability is integrated provides most proximal end service nearby.Its application program is initiated in edge side, generates faster net
Network service response, meet industry real time business, using intelligence, security and privacy in terms of primary demand.
Optionally, edge calculations module 100 is arranged in the places such as hospital either research institution, edge calculations module 100
Corresponding medical data or data etc. directly can be obtained from the places such as hospital or research institution, and carried out corresponding
Edge calculations processing, is then sent to cloud processing module 200 for the result that processing obtains, to help to mitigate cloud processing module
200 data processing pressure.
In addition, since medical data or data etc. are usually directed to individual subscriber privacy concern, edge in the application
What computing module 100 was sent to cloud processing module 200 is medical data or the corresponding edge calculations processing result of data,
Rather than medical data or data itself, so as to guarantee the individual privacy safety of user to a certain extent.
Cloud processing module 200 is for storing processing result, and acquisition medical data, according to medical data and processing result
Carry out cloud computing processing.
After processing result is sent to cloud processing module 200 by edge calculations module 100, cloud processing module 200 will be received
The processing result arrived carries out cloud storage, so as to save local storage space.In addition, cloud processing module 200 is also used for carrying out
The cloud computing of medical data is handled.
Optionally, cloud processing module 200 can be when carrying out cloud computing processing in conjunction with the medical data and side obtained
The edge calculations processing result that edge computing module 100 is sent carries out cloud computing, so as to improve computational efficiency and calculate knot
Fruit accuracy.
Further, the application use the 5th third-generation mobile communication (5G) system new architecture, edge calculations module 100 with
Cloud processing module 200 is based on 5G network and is communicated, compared to 4G network, 5G network fast, transmission stability with transmission speed
High, the features such as frequency band is roomy.
The present embodiment provides a kind of medical service systems, while carrying out data processing by cloud processing module 200,
The edge calculations processing of data is carried out, using edge calculations module 100 so as to help to mitigate the number of cloud processing module 200
According to processing pressure, the data-handling efficiency of cloud processing module 200 is improved.In addition, communicated between module by 5G network, it can
With improve data transfer speed, guarantees the timeliness communicated between module, further increase data-handling efficiency.
In one embodiment, as shown in Fig. 2, the medical service system further include: mobile edge module 300.Mobile side
Edge module 300 is sent to cloud processing module 200 for obtaining individual health data, receives cloud processing module 200 according to individual
The data processed result that health data returns, and individual health data synchronization process is carried out with edge calculations module 100.
Optionally, mobile edge module 300 can be the carry-on various mobile terminals of user, as mobile phone, plate with
And wearable device etc., wherein wearable device is directly worn, or is integrated into the clothes of user or one kind of accessory
Portable device.Wearable device is mostly to have part computing function, can connect mobile phone and the portable accessory shape of each Terminal Type
Formula exists, and it is the watch class (including the products such as bracelet, wrist-watch and wrist strap) supported that the product form of mainstream, which includes with wrist, with
Foot is the shoes class (wearable product on other legs including shoes, socks or future) of support, take head as the Glass of support
All kinds of non-mainstream product form such as class (including glasses, the helmet, headband etc.) and intelligent clothing, school bag, crutch, accessories.
In addition, user can be ordinary user (user for not having medical expertise), which can in the present embodiment
To be healthy user, it is also possible to illness user, which can know personal health state by mobile edge module.
User may also mean that the user for having medical expertise, thus, mobile edge module can assist the user to obtain oneself
Or other people health status.
Mobile edge module 300 can be used for obtaining the individual health data of user, for example, can be obtained by motion bracelet
Take the data or other health data etc. such as heart rate, the movement step number at family.In the individual health data for obtaining user
Later, the data that mobile edge module 300 will acquire are respectively sent to cloud processing module 200 and edge calculations module 100,
In, mobile edge module 300 sends individual health data to cloud processing module 200, in order to which cloud processing module 200 can be with logarithm
According to progress cloud computing processing；Mobile edge module 300 sends individual health data to edge calculations module 100, in order to side
Edge computing module 100 carries out individual health data synchronization process.
Further, mobile edge module 300 is based on 5G network with edge calculations module 100 and cloud processing module 200
It is communicated, so as to increase substantially message transmission rate.
In one embodiment, as shown in figure 3, edge calculations module 100 includes: medical scanning equipment 110, for obtaining
The device status information of the medical scan data and equipment of patient itself, and by medical scan data and device status information
It is sent to cloud processing module 200.
Specifically, medical scanning equipment 110 refers to can carry out medical scanning to patient, obtain corresponding scan data and
The equipment of scan image.In addition, medical scanning equipment 110 is also used to obtain the device status information of equipment itself, such as current fortune
Row state, work at present duration, total working duration etc..Medical scanning equipment 110 obtains medical scan data and equipment state
After information, medical scan data and device status information are sent to cloud processing module 200, in order to cloud processing module 200
Cloud computing processing can be carried out to data.
In one embodiment, with reference to Fig. 3, edge calculations module 100 further include: service centre's edge cells 120 are used for
Personal health information in medical scan data is sent to cloud processing module 200, medical treatment is scanned according to device status information
Equipment 110 carries out device status monitoring and equipment periodic management, and pre-processes to medical scan data.
Specifically, service centre's edge cells 120 and medical scanning equipment 110 communicate to connect, for obtaining medical scanning
Equipment 110 scans obtained medical scan data and device status information.Medical scanning equipment 110 is cured by scanning
Treat scan data after, medical scan data is sent to service centre's edge cells 120, by service centre's edge cells 120 into
Row analysis processing, and personal health information therein is obtained, the personal health information that then will acquire is sent to cloud processing module
200, in order to which cloud processing module 200 can carry out cloud computing processing to data.For example, somewhere hospital due to being short of hands and
The picture that can not be handled can upload to cloud processing module 200 and be analyzed, then result is returned to locally, to mitigate doctor
Raw operating pressure.In addition, the image data of acquisition directly can also be sent to cloud processing module 200 by imaging device, and connect
Feedback result is received, while image data can also save the trouble removed from carry entity image beyond the clouds.
In addition, medical scanning equipment 110 is sent to service centre after obtaining device status information, by device status information
Edge cells 120 are carried out device status monitoring and the equipment week of medical scanning equipment 110 by service centre's edge cells 120
Period management.Wherein, device status monitoring, which can be, is monitored every running state data of medical scanning equipment 110, with
Determine items running state data whether within the scope of normal index, and running state data exceed normal index range when into
Row alert process.Equipment periodic management, which can be, is managed plant life cycle, and plant life cycle refers to equipment from throwing
Enter use to start, the time experienced until being technically or economically and should not continue to use and exit use process.
Further, service centre's edge cells 120 also pre-process medical scan data, for example, dividing processing,
Classification processing, denoising, normalized, homogenization processing etc..
In one embodiment, with reference to Fig. 3, edge calculations module 100 further include: machine learning edge cells 130 are used for
Training data is screened from pretreated medical scan data, and edge is carried out according to pretreated medical scan data
The machine learning model training of side, and training data and trained machine learning model are sent to cloud processing module 200.
Specifically, machine learning edge cells 130 and service centre's edge cells 120 communicate to connect, for obtaining service
Center edge unit 120 carries out pretreated medical scan data.Service centre's edge cells 120 are to medical scan data
After being pre-processed, pretreated medical scan data is sent to machine learning edge cells 130, by machine learning edge
Unit 130 carries out data screening processing, and therefrom obtains the training data that can be used for carrying out model training, and the training data is by machine
Device study edge cells 130 are sent to cloud processing module 200 to carry out the processing of the model training in cloud.In addition, machine learning side
Edge unit 130 is after obtaining pretreated medical scan data, according to pretreated medical scan data in edge side
Machine learning model training is carried out, trained machine learning model is then sent to cloud processing module 200, in order to mitigate
The data processing pressure of cloud processing module 200.
In one embodiment, as shown in figure 4, cloud processing module 200 includes: cloud unit 210, for being edge calculations mould
Block 100 and mobile edge module 300 provide gateway, application programming interface and data space.
Specifically, Yun Danyuan 210 is communicated to connect with edge calculations module 100 and mobile edge module 300 respectively, is provided
Gateway, data space and application programming interface (Application Programming Interface, API),
Wherein, gateway can be used to implement to using the data of differing transmission protocols to carry out translating the functions such as conversion mutually, and data store
Space is for providing cloud storage function, and so as to mitigate the storage pressure of edge side, application programming interface is used to make
User provides the interface channel of function and resource using cloud processing module 200.
In one embodiment, with reference to Fig. 4, cloud processing module 200 further include: service centre's unit 220, for according to doctor
It treats the device status information that scanning device 110 is sent and device status monitoring and equipment periodic is carried out to medical scanning equipment 110
Management, and for providing medical image intelligent use for edge calculations module 100.
Specifically, medical scan data and device status information are sent to cloud processing mould in medical scanning equipment 110
After block 200, service centre's unit 220 in cloud processing module 200 carries out medical scanning equipment 110 according to device status information
Device status monitoring and equipment periodic management, wherein device status monitoring can be the items fortune to medical scanning equipment 110
Whether row status data is monitored, with determining every running state data within the scope of normal index, and in operating status number
Alert process is carried out according to when exceeding normal index range.Equipment periodic management, which can be, is managed plant life cycle, if
Standby life cycle refers to that since equipment coming into operation, should not continue to use to being technically or economically and exit use process
Until the time experienced.Service centre's unit 220 can to all medical scanning equipments 110 carry out device status monitoring and
Equipment periodic management.
In addition, service centre's unit 220 also provides for medical image intelligent use, when edge calculations module 100 needs
When carrying out some more complicated calculating, need to use some special medical image intelligent uses, at this point, edge calculations module
100 can complete relevant calculation by the medical image intelligent use that service centre's unit 220 provides, and in edge calculations mould
Without installing corresponding medical image intelligent use in the relevant device of block 100, so as to mitigate edge calculations module 100
Calculation processing pressure, meanwhile, when hardware condition of the medical image intelligent use for equipment is more demanding, by service centre's list
Member 220 provides the device hardware condition requirement that medical image intelligent use can also reduce edge calculations module 100, so as to
Reduce equipment cost.
In one embodiment, with reference to Fig. 4, cloud processing module 200 further include: artificial intelligence unit 230, for according to instruction
Practice data and carry out neural metwork training, and building machine learning frame, machine learning frame is for carrying out medical image algorithm
Training.
Specifically, the machine learning edge cells 130 in edge calculations module 100 are by training data and trained
After machine learning model is sent to cloud processing module 200, artificial intelligence unit 230 carries out nerve net according to the training data of acquisition
Network training, and according to the building of trained machine learning model for carrying out the machine learning frame of medical image algorithm training,
Trained medical image algorithm can be applied to the various medical image intelligent uses of service centre's unit 220, be also possible to
It is sent to edge calculations module 100 and carries out edge calculations processing.
Since current artificial intelligence is quite extensive in the application of medical field, intelligent algorithm exploitation is being carried out
When, it needs to face data acquisition difficulty greatly and data has the problem of deviation, wherein data deviation refers to if obtained
The source of image is excessively single, and the prediction result that may result in model has deviation, this is because Different hospital uses machine not
Together, radiological dose is different, therefore may be also different in face of the resulting image of identical lesion.So with a certain hospital's picture number
According to the image for training the model come and go to analyze another hospital, accuracy rate may decline to a great extent.The present embodiment passes through engineering
It practises edge cells 130 and screens training data from medical scan data, it is ensured that enough training datas are got, also,
By the different hospital data of acquisition, as data source can be made diversified as possible, thus the problem of avoiding the occurrence of data deviation,
Guarantee the accuracy rate of model training result.
In one embodiment, with reference to Fig. 4, cloud processing module 200 further include: personal health service unit 240, for connecing
Individual health data is received, corresponding health care information and/or therapy rehabilitation information are obtained according to individual health data, and will be good for
Health nursing information and/or therapy rehabilitation information are sent to mobile edge module 300.
Specifically, cloud processing module 200 is sent in the individual subscriber health data that mobile edge module 300 will acquire
Afterwards, personal health service unit 240 carries out Data Analysis Services according to the individual health data of acquisition, obtains at corresponding analysis
Reason is as a result, analysis result includes at least one of health care information and therapy rehabilitation information, and is obtaining analysis processing
As a result the analysis result is sent to corresponding mobile edge module 300 afterwards.
In one embodiment, as shown in figure 5, providing a kind of medical service system based on 5G communication network, system master
It is divided into three big modules, respectively edge calculations module (Edge Computing), cloud processing module (Cloud Computer
Center) and mobile edge module (Mobile Edge).
Edge calculations module arrangement is based on 5G communication base station and CPE in hospital or research institution, edge calculations module
(Customer Premise Equipment, customer terminal equipment) equipment, from close to Medical Devices, the edge zone of data source
It is handled to complete the big data of marginal mode, while being also required to carry out letter based on the scheme of cryptography for personal secrets problem
The protection of safety is ceased, unauthorized access etc. protect by access control policy and enhances system using machine learning
Security protection etc..
Edge calculations module specifically includes that medical scanning equipment (Scanner), service centre edge cells (Service
Center Edge), machine learning edge cells (Machine learning Edge).
Common medical scanning equipment includes single mode scanning device and multi-modal scanning device.Single mode scanning device example
As PET (Positron Emission Computed Tomography, positron e mission computed tomography) equipment,
CT (Computed Tomography, CT scan) equipment, MRI (Magnetic Resonance
Imaging, magnetic resonance imaging) equipment etc., multi-modal scanning device such as PET-CT, PET-MRI etc..Medical scanning equipment installation
There are device software, such as system software, case control's software, image reconstruction software etc..Medical scanning equipment needs report simultaneously
Device status information and the DICOM data for uploading medical treatment scanning, wherein DICOM (Digital Imaging and
Communications in Medicine) i.e. digital imaging and communications in medicine is the international mark of medical image and relevant information
Quasi- (ISO 12052), it defines the Medical Image Format that can be used for data exchange that quality is able to satisfy clinical needs.
Service centre's edge cells mainly complete following work after receiving the information and data that medical scanning equipment reports
Make: (1) personal health information (Personal Health) in medical scan data being uploaded to cloud processing module；(2) it analyzes
With monitoring edge side medical scanning equipment state, while edge side can for medical scanning equipment plant life cycle into
Row management；(3) data prediction and the advanced application service of image are provided, while pretreated medical scan data being passed to
Machine learning edge cells.
Machine learning edge cells receive pretreated medical scan data, from pretreated medical scan data
Training data is screened, and carries out the machine learning model training of edge side according to pretreated medical scan data, and will
Training data and trained machine learning model are sent to cloud processing module.
Cloud processing module can be with IDC (Internet Data Center, Internet data center) service provider's depth collection
At, the data that cloud storage, center service, artificial intelligence, personal health service, and sync edge calculation side upload mainly are provided,
Cloud processing module specifically includes that cloud unit (Cloud), service centre's unit (Service center), artificial intelligence unit
(AI) and personal health service unit (Personal Health Service).
Cloud unit provides gateway, and storage, API is as its core business；Wherein store supporting center cell, artificial intelligence
The core business data of energy unit and personal health service unit.
Service centre's unit completes the life cycle management of all edge side medical scanning equipments, state analysis, state prison
The work such as control, while the important service as cloud, provide the intelligent use of image.
On the one hand artificial intelligence unit obtains training data and arranges, the input as each neural network is to carry out net
Network training, constructs machine learning frame on the other hand to train the medical image algorithm of profession, internal then supplied intelligent use
Algorithm service.
Personal health service unit mainly health care service and is controlled towards professional team and personal offer service
Treat rehabilitation service.
Mobile edge module mainly sinks to partial service the end ToC (To customer, personal user end), such as
Mobile phone, plate, wearable device etc., and provide personal health relevant business, including individual health data, health analysis are examined
Plan is treated, the service of diagosis is diagnosed.Personal health business allows patient and medical worker, intelligent medical by advanced 5G technology
Equipment close-coupled improves the utilization rate of medical resource, is provided with the medical services of quality.
It should be noted that in the present embodiment, carrying out data processing in edge processing module and cloud processing module
In the process, most treatment processes can be realized by artificial intelligence.For example, in carrying out medical imaging identification process, phase
Than the manual identified process of Yu doctor, artificial intelligence has the advantage that (1) judgement is more accurate.Due to some physiological structures
Image is excessively complicated, and human eye is often difficult to out feature therein, but artificial intelligence after a large amount of case studies by that can send out
Now potential rule, thus, artificial intelligence can improve the recognition correct rate of oneself by learning a large amount of picture.(2) people
Work intelligently can in high volume rapidly process image data.As long as computing capability is sufficient, artificial intelligence can be handled disposably
Great amount of images data.Importantly, artificial intelligence can't feel fatigue, can be worked with 24 hours.Opposite, mankind doctor
It may be because fatigue in darg and generate mistake.(3) type that artificial intelligence can handle picture is more enriched.By
In many kinds of of illness, imaging and identification can be related to from cardiovascular disease to cancer etc., a mankind doctor is likely to
It is only good at one two kinds of image recognition therein, rather than is all proficient in.On the contrary, the high efficiency of computer makes with large data capacity
It can learn to identify different illness images, handle different image types.(4) artificial intelligence carry out image recognition can be with
" big data " of patient combines.Artificial intelligence can be not limited to the image data of patient, but combine its medical history, heredity back
Scape, family's medical history etc. other can be with the information of digitization.It even can be in conjunction with the dietary structure of patient, the data such as daily life system
To in model, the more accurately judgement and prediction with personalization is carried out to the state of an illness.It not only can quickly understand medical imaging, also
Analyzing and diagnosing can be carried out according to electronic medical records database.
The present embodiment is based on the 5G communication technology, designs a set of bonding apparatus, edge calculations, cloud computing, realizes big data, intelligence
Energy, the end ToC are connected with each other the medical services frame of cooperation, to support the industry of the following Medical Devices, personal health, intelligent diagnostics
Business, can provide convenient good medical services for user.
Each technical characteristic of embodiment described above can be combined arbitrarily, for simplicity of description, not to above-mentioned reality
It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, all should be considered as described in this specification.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to protection of the invention
Range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
Claims (10)
1. a kind of medical service system characterized by comprising edge calculations module and cloud processing module；
The edge calculations module carries out edge calculations processing for obtaining data, according to the data, and the processing is tied
Fruit is sent to cloud processing module；
The cloud processing module is for storing the processing result, and acquisition medical data, according to the medical data and institute
It states processing result and carries out cloud computing processing；
The edge calculations module is based on 5G network with the cloud processing module and is communicated.
2. medical service system according to claim 1, which is characterized in that further include: mobile edge module；
The mobile edge module is sent to the cloud processing module for obtaining individual health data, receives at the cloud
The data processed result that reason module is returned according to the individual health data；And it is carried out with the edge calculations module personal strong
Health data synchronization processing；
The mobile edge module is based on 5G network with the edge calculations module and the cloud processing module and is communicated.
3. medical service system according to claim 1, which is characterized in that the edge calculations module includes: that medical treatment is swept
Equipment is retouched, is scanned for obtaining the medical scan data of patient and the device status information of equipment itself, and by the medical treatment
Data and device status information are sent to the cloud processing module.
4. medical service system according to claim 3, which is characterized in that the edge calculations module further include: service
Center edge unit, for the personal health information in the medical scan data to be sent to the cloud processing module, according to
The device status information carries out device status monitoring and equipment periodic management to the medical scanning equipment, and to described
Medical scan data is pre-processed.
5. medical service system according to claim 4, which is characterized in that the edge calculations module further include: machine
Learn edge cells, for screening training data from pretreated medical scanning data, and according to the pretreatment after
Medical scanning data carry out the machine learning model training of edge side, and by the training data and trained machine learning
Model is sent to the cloud processing module.
6. medical service system according to claim 2, which is characterized in that the cloud processing module includes: cloud unit, is used
Gateway, application programming interface and data are provided and are stored in for the edge calculations module and the mobile edge module
Space.
7. medical service system according to claim 3, which is characterized in that the cloud processing module includes: service centre
Unit, the device status information for being sent according to the medical scanning equipment carry out equipment to the medical scanning equipment
Condition monitoring and equipment periodic management, and for providing medical image intelligent use for the edge calculations module.
8. medical service system according to claim 5, which is characterized in that the cloud processing module includes: artificial intelligence
Unit, for carrying out neural metwork training, and building machine learning frame, the machine learning frame according to the training data
Frame is for carrying out the training of medical image algorithm.
9. medical service system according to claim 2, which is characterized in that the cloud processing module includes: personal health
Service unit obtains corresponding health care information according to the individual health data for receiving the individual health data
And/or therapy rehabilitation information, and the health care information and/or therapy rehabilitation information are sent to the mobile edge mould
Block.
10. medical service system according to claim 2, which is characterized in that the mobile edge module is mobile terminal.
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