CN109992627A - A kind of big data system for clinical research - Google Patents
A kind of big data system for clinical research Download PDFInfo
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- CN109992627A CN109992627A CN201910279145.2A CN201910279145A CN109992627A CN 109992627 A CN109992627 A CN 109992627A CN 201910279145 A CN201910279145 A CN 201910279145A CN 109992627 A CN109992627 A CN 109992627A
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
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Abstract
The invention discloses a kind of big data systems for clinical research.It include: terminal subsystem and server.Terminal subsystem includes hospital data bank interface and client；Client includes data inputting module；Data inputting module, for being entered into system by way of being manually entered by medical data；Terminal subsystem is connected with server；Server includes data preprocessing module, distributed storage module and distributed arithmetic module；Data preprocessing module is used to that the medical data obtained from hospital's database interface and client to be cleaned, integrated and be converted；Distributed storage module is for storing the medical data after over cleaning, integration and conversion；Distributed arithmetic module is used for the algorithm configuration order from client based on the received, is statisticallyd analyze accordingly to medical data.Have the characteristics that medical data treatment process is simple, high-efficient provided by the present invention for the big data system of clinical research.
Description
Technical field
The present invention relates to technical field of data processing, more particularly to a kind of big data system for clinical research.
Background technique
The clinical medicine scientific research of high-quality be unable to do without the support of high-quality clinical data, however this requires clinics to cure
It learns researcher and takes a significant amount of time arrangement patient data, by time-consuming, cumbersome manual operation by valid data from crisscross
It is extracted in complicated medical profession system, this research methods efficiency for natively very busy medical worker
It is extremely low.It studies if it is the clinical science of small data sample, is operated by Manual arranging data, or with certain simultaneously
Property, however if it is the data of large sample, such as thousands of mass data, Manual arranging data just can absolutely not operate
Property.It reports that the doctor of a China-Japan Friendship Hospital once wants to do the research in mental failure field, needs to arrange 3000 parts of case histories.But
It is the recalling of information, typing, statistics etc., it is necessary to expend time a year and a half.After doctor considers, it can only abandon.Many times
The workload of data preparation has exceeded the tolerance range of medical worker, and much good scientific research idea is caused to have to put
It abandons, practical action can not be committed to.
On the other hand, requirement of certain clinical researches to data volume is big data rank, hospital's historical record
The data volume of this kind of data may be unable to satisfy the demand of this scientific research, this just needs to employ the data money of multiple hospitals
Source.However at present the data system of most hospitals be mostly it is isolated, a regional medical data resource is connected, and
It is an extremely huge engineering that unified backup, which saves, to guarantee being perfectly safe for data, not only needs special high speed private network
Route, server construction investment be also it is huge, build up after it is subsequent maintenance and maintenance cost be also surprising.And it is right
For specific scientific research, medical worker is solely focused on very small part data therein, therefore to all medical numbers
According to it is centrally stored be also cause obtain medical data inefficiency one of main problem.
Wu Qingfeng, Zheng Yuhui, Zhang Zhongnan et al. have invented " a kind of Analysis of Medical Treatment Data system based on Hadoop framework ",
The invention is by the comprehensive collection medical receipt of cloud storage platform, the medical number based on Hadoop framework processing and analysis magnanimity
According to provide service and assistance for many patients, medical worker, scientific research personnel and government decision person.But the invention does not have
In view of the interconnection of multiple hospitals, data source is only for the freshly harvested chemical examination of sensor terminal, inspection data.This kind of data
Source is all relatively low to the contribution of clinical research either from range or depth, is unable to satisfy medical research personnel to clinic
Diagnosis and treatment, prognostic data carry out the demand of scientific research.
Liu Yuhong, Zhou Jinfan, Jiang Minghuai et al. invention " a kind of intelligent medical big data service system and application method ",
A kind of intelligent medical big data service system of the disclosure of the invention.Including user client, user client and hospital's client
Connection；User client includes illness information, the private clound of diagnosis and therapy recording, health data and disease model for storing user
Health data center, private clound health data center are connect with data acquisition and monitoring unit；Hospital's client includes that hospital's cloud is flat
Platform, hospital's cloud platform are connect with more than one doctor's sub-platform；The private clound health data center of hospital's cloud platform and user
Connection.The invention can be realized medical resource and share, and reduces medical services spending, alleviates hospital's pressure, improves diagnosis and imitates
Rate mitigates outpatients mental state burden.But the invention is not applied to multiple hospitals, data source is single, and the program uses Intranet
Connection does not account for the problem of outer net connects the authority distribution and data safety of multiple hospitals.
" a kind of medical data processing method and system " is illustrated in Liu Dengchao, Guo Ke grey hair, and the invention is by receiving training number
According to training data is inputted deep learning model, and obtained training mould using transfer learning method by load deep learning model
Type, and save in the server, and send client for the training pattern list saved in server；Client load training
Model acquires medical image, identifies medical image using training pattern, obtains recognition result；Service is sent by recognition result
Device, server corresponding disease of retrieval result in disease database according to recognition result, obtains final auxiliary diagnosis
As a result.This method improves the place of medical data using the deep learning method in artificial intelligence by way of artificial intelligence
Manage precision.But the invention does not use big data framework, is unable to satisfy the demand of multiple hospitals mass data processing, especially when
Data collection is more and more, and storage and computing capability will be as the bottlenecks of the system.
" the clinical research platform application design based on medical big data " base that Yu's height is delivered in " Chinese Digital medicine "
In hospital clinical data center, Data Integration is carried out for specific paediatrics disease that calls for specialized treatment data, integrated statistical and analytical tool construction is faced
Bed research products.It realizes that all kinds of scientific datas between the medical information systems such as hospital HIS, RIS, LIS are shared, builds up scientific research case history
Retrieval, disease that calls for specialized treatment diagnostic view, research data management and follow-up system, solve the problems, such as hospital scientific research personnel to data processing.Most
The threshold that medical and nursing work personnel carry out Medical Research Work is reduced eventually, improves hospital scientific research achievement output.But the system does not have
Have and multiple hospitals are subjected to data connection, while preservation and processing without realizing mass data using big data framework.
As it can be seen that disclosed in the prior art medical data processing during, all cannot to each Hospital medical data into
The collection and processing of row systematization, and there is a problem of that data handling procedure low efficiency, difficulty are high.
Summary of the invention
The object of the present invention is to provide a kind of big data systems for clinical research, have the letter of medical data treatment process
Single, high-efficient feature.
To achieve the above object, the present invention provides following schemes:
A kind of big data system for clinical research, comprising:
Terminal subsystem, including hospital data bank interface and client；The client includes data inputting module；It is described
Data inputting module, for being entered into system by way of being manually entered by medical data；The terminal subsystem and clothes
Business device is connected；
Server, including data preprocessing module, distributed storage module and distributed arithmetic module；The data are located in advance
Reason module is used to that the medical data obtained from the hospital data bank interface and client to be cleaned, integrated and be converted；Institute
Distributed storage module is stated for storing the medical data after over cleaning, integration and conversion；The distributed arithmetic module is used
In from the algorithm configuration order of the client, being statisticallyd analyze accordingly to medical data based on the received.
Optionally, the hospital data bank interface, respectively with Laboratory Information Management System, management information system for hospitals,
The medical record system of computerization is connected with image archiving communication system, for providing medical number for the big data system of clinical research
According to.
Optionally, the system also includes network connection subsystems；The terminal subsystem passes through network connection
System is connect with the server.
Optionally, the network connection subsystem includes first line and the second route；The hospital data bank interface is logical
The first line is crossed to connect with the data preprocessing module；The data inputting module by second route with it is described
Data preprocessing module connection.
Optionally, the first line includes data acquisition front-end, unidirection insulation network brake, data transmission front end processor and prevents
Wall with flues safety equipment；The data acquisition front-end, unidirection insulation network brake, data send front end processor and firewall security equipment,
It is upward in the transmission side data of the database interface to the server, successively it is attached；
Firewall security equipment is equipped in second route；The firewall security equipment is set by Virtual Private Network
It is standby to be connect with the server.
Optionally, the client further includes that authority management module, algorithm configuration module, result display module and data are led
Module out；The data management module is used to carry out the deletion, modification or lookup of data；The algorithm configuration module is used for not
The configuration of parser is carried out with data；The authority management module is used to set the administration authority and access right of each account
Limit；The operation result display module is used to be shown operation result using the form of figure or text；The data are led
Module out, for exporting the data in the server.
Optionally, the server further includes that module and algorithm configuration active module are realized in data management；
The distributed storage module realizes that module is connect with the network connection subsystem by the data management；Institute
It states data management and realizes module, for receiving data management order and arithmetic result displaying order in the client；
The distributed arithmetic module is connect by the algorithm configuration active module with the network connection subsystem；Institute
Algorithm configuration active module is stated, for receiving the algorithm configuration order in the client, controls the distributed arithmetic module
It carries out data statistic analysis or activates the configuration of machine learning mathematical algorithm.
Optionally, the client is any one in C# client, cell phone client and WEB client side.
The specific embodiment provided according to the present invention, the invention discloses following technical effects: provided by the present invention for
The big data system of clinical research, including terminal subsystem and server, the terminal subsystem are connected with server.Terminal
Subsystem includes hospital data bank interface and client.User is defeated manually by medical data by the data inputting module of client
Enter to system, while relevant medical data, this energy can also be obtained by the way that the hospital data bank interface of each hospital is arranged in
Enough overcome the problems, such as each Hospital medical data dispersion in the prior art, be difficult to integrate processing, and then reduces and collect medical data
Difficulty.And after obtaining medical data, by the way that data preprocessing module, distributed storage module are arranged in the server and divides
Cloth computing module, the processes such as pretreatment, distributed storage and the distributed arithmetic of Lai Shixian medical data, this can overcome
The low problem of medical data treatment effeciency existing in the prior art.
In addition, being provided with result exhibition in the client provided by the present invention for the big data system of clinical research
Show module, allows users to that required medical data is carried out to transfer display in time.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is the structural schematic diagram of clinical research of embodiment of the present invention big data system；
Fig. 2 is the work flow diagram that clinical research of embodiment of the present invention big data system realizes manual data typing；
Fig. 3 is the work flow diagram that clinical research of embodiment of the present invention big data system carries out data management；
Fig. 4 is that clinical research of embodiment of the present invention big data system carries out work flow diagram derived from data；
Fig. 5 is the work flow diagram that clinical research of embodiment of the present invention big data system carries out algorithm configuration；
Fig. 6 is the work flow diagram that clinical research of embodiment of the present invention big data system shows operation result；
Fig. 7 is the work flow diagram that clinical research of embodiment of the present invention big data system carries out rights management.
Drawing reference numeral explanation: 1- terminal subsystem, 2- are connected to the network subsystem, 3- server.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The object of the present invention is to provide a kind of big data systems for clinical research, have the letter of medical data treatment process
Single, high-efficient feature.
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing and specific real
Applying mode, the present invention is described in further detail.
Fig. 1 is the structural schematic diagram of clinical research of embodiment of the present invention big data system, as shown in Figure 1, a kind of for facing
The big data system of bed scientific research, comprising: terminal subsystem 1, network connection subsystem 2 and server 3.
Terminal subsystem 1, also referred to as front end system, are deployed in hospital side, and the range of deployment can be multiple hospitals.Terminal
Subsystem 1 includes hospital data bank interface and client.
Hospital data bank interface is connect with hospital each medical profession system respectively, and medical profession system includes laboratory information
Management system LIS, management information system for hospitals HIS, the medical record system EMR of computerization, image archiving communication system PACS etc..
By authorizing the data-interface of specific type disease in these medical profession systems, the medical big data system to be invented is mentioned
For data source.Also, the hospital data bank interface is not to open to all Disease data, it is only open and
The relevant patient data interface of institute's study of disease, and institute's opening interface has read only attribute can not write-back.
Client includes that data inputting module, authority management module, algorithm configuration module, result display module and data are led
Module out.On the one hand client passes through the list input system of depth optimization, by being filled in manually old papery case history or non-
Structural data is converted into structural data, carries out data prediction to be sent into server 3.On the other hand, client is real
Show that data management, permission control, algorithm configuration, arithmetic result are shown and the functions such as data export.
Wherein, data inputting module is responsible for the unstructured disease by a certain amount of traditionally on paper patient medical record or electronics
It goes through, is entered into system by way of being manually entered.It is this to be manually entered function, be by advance analyze case history structure,
After being familiar with medical worker's typing habit, on the basis of traditional input method, pass through a selection operation, alternative prompt, numeric data
The methods of scope limitation, miscue have carried out a degree of optimization, to improve efficiency of inputting, reduce typing workload.
Data management module is responsible on the basis of 3 distributed storage module of server, realize to " the deleting " of data,
The operation such as " changing ", " looking into ".
Algorithm configuration module is responsible for the distributed computing mould by configuring different data analysis algorithms, in server 3
Block carries out corresponding algorithm analysis to the medical data stored respectively in distributed storage module and handles.Analysis treated data
It is saved in the distributed storage module in server 3.
Authority management module is responsible for setting the permission of each account, as there is Different hospital the user of typing permission to be only responsible for
Data in each range of Operation and Maintenance range, guarantee its can not interleaving access Fei Ben hospital data.Such as clinical research personnel and
Information technology scientific research personnel uses the data of different scales by distribution different stage permission, it is made to have data export, algorithm
It configures, the access right of arithmetic result display module.Administrator has to account management and to the permission of system maintenance.
Operation result display module is responsible for showing operation result in graphical and textual form, under the module
Shipping is calculated and is ordered as the result is shown, and the operation result being stored in 3 distributed storage module of server, the result transferred are transferred
Shift to an earlier date operation by distributed arithmetic module to obtain.
Data export module is responsible for according to condition being filtered data, screens specific type, specific fields patient data, and
It is exported and generates XLS format.To provide convenient Data Integration obtaining means for Medical Research Work person, the export format
Other compatible medical statistical analysis softwares carry out data processing.
Network connection subsystem 2 is the link of data transmission, including first line and the second route.Network of the invention connects
It connects subsystem 2 not only and can guarantee the safe and reliable of data connection, but also can reduce deployment difficulty and construction cost.
First line is responsible for the one-way data secure connection of hospital data bank interface Yu server 3, uses data collection
Front end processor and the data collection software being mounted on the front end processor, to the trouble of institute's study of disease in each medical profession system of each hospital
Person's data are periodically collected, and are stored and periodically sent into the front end processor.Unidirection insulation network brake, which is used as, ensures unidirectional flow of data
It moves to data sending side front end processor.The front end processor installation data sends software and periodically sends data.The data sent
To pass through safety curtain of the firewall security equipment as Intranet and outer net, prevent illegal user from entering.Data will also lead to later
The virtual private wire for crossing the safety for setting up encryption between Intranet and outer net using VPN device is sent to server 3.Second
Route is responsible for the bi-directional data secure connection of each hospital terminal subsystem and server 3, use firewall security equipment as
Then Intranet and outer net are set up the secure virtual special circuit of encryption by the safety curtain of Intranet and outer net using VPN.
Network connection subsystem 2 is used to connect the terminal subsystem 1 and server 3 of each hospital.Because terminal subsystem 1 includes
Hospital data bank interface and client, then network connection subsystem 2 be the connection that provides of hospital data bank interface only need from
Data-interface reads data, while legacy data library to be prevented to be exposed in internet, so this subnetwork link (First Line
Road) by using data collection front end processor, unidirectional gateway, firewall security equipment, data transmission front end processor and virtual private
The completion of network VPN device connect hospital data bank interface with the secure data of server 3.When providing connection for client,
Because control data flow be it is two-way, need to guarantee data bidirectional safe connection, so by firewall is arranged in network subsystem 2
Safety equipment and Virtual Private Network VPN device, to provide safe bi-directional data connection for each hospital's client.
Server 3 is the brain of medical big data system, including data preprocessing module, distributed storage module and distribution
Formula computing module.Data preprocessing module is mainly to the different business systems data from Different hospital and to come from client
Data cleaned, depth integration, conversion.Then data pretreatment completed are according to different medical data structures or disease
Sick type is respectively stored into distributed storage module.After data are saved in 3 distributed storage module of server, it can pass through
The algorithm configuration order from client is received, is the storage of distributed storage module in 3 distributed arithmetic module of server
Medical data configures corresponding algorithm and carries out data operation, and the operation result finally obtained is output to algorithm operation result and is connect
Mouthful, the second route by being connected to the network subsystem 2 returns to client.
The client can be there are two types of form, and one is the clients based on C# exploitation of C/S framework, at the end PC
It realizes and the global function of medical big data system is operated.Another kind is the Web client based on PHP exploitation, at the non-end PC
It is logged in based on browser, realizes the medical big data system operatio of function restriction.
Different rights user is different using the function of the medical big data system.By client, account and close is set
Code login module determines the permission of institute's login account, and permission classification includes: data inputting user, clinical research personnel, information skill
Art scientific research personnel and system manager, it is as shown in table 1 that function is arranged in different rights:
Menu is arranged in one different rights of table
Use the as follows to above-mentioned different function operating process and methods for using them of medical big data system client:
Manual data recording module, to a part in the structured database for being not stored in Hospital medical operation system
Valuable data, it is such as some to be stored in patient data progress structure valuable in papery case history and some non-structured electronic health records
Change typing.By this module in client, data inputting user can add data strip by creating patient data manually
Mesh, the operation are manually entered by the selective type operation of depth optimization, and design reduces data inputting user's as far as possible
The complexity that works and working strength.Its specific workflow is as shown in Figure 2:
Data inputting user can be logged in by C# client or Web client, the advantage of doing so is that there is some fields
Scape use mobile device, as plate operated it is more convenient, sometimes using computer C# client log in it is more convenient.It logs in into
User can click " newly-built patient data " and carry out data inputting after function, and " save and submit " is clicked after the completion of typing.Data pass through
Second route of the corresponding network connection subsystem 2 of client is transmitted to server 3.In the data preprocessing module of server 3
In, the data being manually entered and the data from hospital data interface are first subjected to pretreatment integration, if it is the same patient
Data will be associated merging, to the skimble-scamble data of format carry out data conversion, to wrong data carry out wrong data it is clear
It washes, after carrying out privacy to sensitive data (patient's related identification information etc.), is stored in the distributed storage module of server 3
In.
Data management module carries out different rights user itself creation or in extent of competence data rationally effective
" deleting ", " changing ", the management such as " looking into " operation correct to correct the mistake for being manually entered data and come from medical profession database
Automatic extraction data mistake.Its specific workflow is as shown in Figure 3:
The user for possessing data administration authority logs in relative client (C# client or Web client), passes through client
End uses data management module, carries out the orders such as corresponding " deletion ", " modification ", " inquiry " to data.Order is connected by network
The second route for connecing subsystem 2 is issued in server 3.In server 3, module is realized by data management, to distribution
Corresponding data in memory module carries out corresponding command operation, and operating result is finally fed back to the data management mould of client
Block.
Data export module, be in order to meet clinical research worker by data adaptation to other scientific research environments the needs of,
Facilitate it to export the data of needs, import in other scientific research software environments, such as imported into SPSS software and what is carried out set
It sets.Its workflow is as shown in Figure 4:
Clinical research personnel log in the C# client (function only just has in C# client) of medical big data system, so
After carry out data retrieval, choose and want derived data, click export button.Export (swf) command is sent out by the second route of network subsystem
Module is realized in the data export for being sent to server 3, and data export module is coupled in data management and realizes in module, by identical
Data flow carries out order and issues and data back, after receiving data export (swf) command, distributed memory according to export format,
Data are returned into client by the second route of network subsystem with XLS format.
Algorithm configuration module writes statistical analysis, big data processing and machine learning algorithm by way of procedure script
Enter in medical big data system, to realize the Analysis of Medical Treatment Data processing method of various complexity by way of programming.Such as
The risk factor that morbidity is excavated by data mining algorithm, finds out patient's illness lesion by lesion segmentation algorithm, passes through machine
Learning method such as predicts at the prognosis of patient.Its specific workflow is as shown in Figure 5:
Information technology scientific research personnel logs in C# client, carries out foot by the algorithm page of the algorithm configuration module of client
Originally, then transmitting order to lower levels button is clicked in code input, algorithm is issued to clothes by being connected to the network the second route of subsystem 2
The algorithm configuration active module of business device 3, and then parameter configuration, environment setting and money are carried out to 3 distributed arithmetic module of server
Source distribution etc., if configuration successful needs the order (ACK) in the second route to one configuration successful of client feedback.Then will
Corresponding data in 3 distributed storage of server reads memory as the input data of institute's placement algorithm, then using distribution
Formula computing module handles data, and when processing completion, processing result is saved in distributed storage module specific region etc.
It is checked to client.
Operation result display module is mainly responsible for and configured algorithm operation result is recalled to client checks.
Its specific workflow is as shown in Figure 6:
Clinical research personnel and information technology scientific research personnel log in C# client, and the mathematical algorithm checked is wanted in selection, under
The operation result for sending out the algorithm shows that order, order are issued to distributed storage by being connected to the network the second route of subsystem 2
Computing module, the module temporary data that distributed arithmetic module arithmetic before is good pass through the of network connection subsystem 2
Two routes return to client.
Authority management module is mainly used to creation and the user account of maintenance system user, and specific workflow is such as
Shown in Fig. 7:
System manager logs in C# client, by using the rights management function of client, manual creation different rights
Account, and pass through the second route transmitting order to lower levels of network subsystem to 3 subsystem of server, on 3 subsystem of server, institute
The account of creation will be stored in distributed storage module, and the successful ACK of creation can be fed back after creating successfully.When other users into
When row logs in, system can go the identity of verifying login user by being stored in the account information of distributed storage module, and
Corresponding Permission Levels.
Provided by the present invention for the big data system of clinical research, user will be cured by the data inputting module of client
It treats data and is manually entered into system, while relevant medical treatment can also be obtained by the way that the hospital data bank interface of each hospital is arranged in
Data, this can overcome the problems, such as each Hospital medical data dispersion in the prior art, be difficult to integrate processing, and then reduces and collect
The difficulty of medical data.And after obtaining medical data, by the way that data preprocessing module, distribution are arranged in server 3
Memory module and distributed arithmetic module, the processes such as pretreatment, distributed storage and the distributed arithmetic of Lai Shixian medical data,
This is just able to solve the low problem of artificial treatment data efficiency existing in the prior art.In addition, provided by the present invention
In client for the big data system of clinical research, result display module can also be set, so that user is to required
Medical data carry out transferring display in time.
It further, can be to different sections by the way that authority management module is arranged in the client of the big data system
It grinds personnel and carries out authority configuration, to improve the safety of medical data.Also, corresponding algorithm configuration is set in server 3
Module is realized in active module and data management, this can carry out data processing according to data processing command different in client
And algorithm configuration, quickly related data is provided with the scientific research personnel for different demands as a result, improving scientific research personnel in turn obtains number
According to efficiency.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.
Used herein a specific example illustrates the principle and implementation of the invention, and above embodiments are said
It is bright to be merely used to help understand method and its core concept of the invention；At the same time, for those skilled in the art, foundation
Thought of the invention, there will be changes in the specific implementation manner and application range.In conclusion the content of the present specification is not
It is interpreted as limitation of the present invention.
Claims (8)
1. a kind of big data system for clinical research characterized by comprising
Terminal subsystem, including hospital data bank interface and client；The client includes data inputting module；The data
Recording module, for being entered into system by way of being manually entered by medical data；The terminal subsystem and server
It is connected；
Server, including data preprocessing module, distributed storage module and distributed arithmetic module；The data prediction mould
Block is used to that the medical data obtained from the hospital data bank interface and client to be cleaned, integrated and be converted；Described point
Cloth memory module is for storing the medical data after over cleaning, integration and conversion；The distributed arithmetic module is used for root
According to the received algorithm configuration order from the client, medical data is statisticallyd analyze accordingly.
2. a kind of big data system for clinical research according to claim 1, which is characterized in that the hospital data
Bank interface, respectively with Laboratory Information Management System, management information system for hospitals, computerization medical record system and image archiving
Communication system connection, for providing medical data for the big data system of clinical research.
3. a kind of big data system for clinical research according to claim 1, which is characterized in that the system is also wrapped
Include network connection subsystem；The terminal subsystem is connect by the network connection subsystem with the server.
4. a kind of big data system for clinical research according to claim 3, which is characterized in that the network connection
Subsystem includes first line and the second route；The hospital data bank interface is located in advance by the first line and the data
Manage module connection；The data inputting module is connect by second route with the data preprocessing module.
5. a kind of big data system for clinical research according to claim 4, which is characterized in that the first line
Front end processor and firewall security equipment are sent including data acquisition front-end, unidirection insulation network brake, data；Before the data acquisition
It sets machine, unidirection insulation network brake, data and sends front end processor and firewall security equipment, in the database interface to the server
Transmission side data it is upward, be successively attached；
Firewall security equipment is equipped in second route；The firewall security equipment by Virtual Private Network equipment with
The server connection.
6. a kind of big data system for clinical research according to claim 1, which is characterized in that the client is also
Including authority management module, algorithm configuration module, result display module and data export module；The data management module is used for
Carry out deletion, modification or the lookup of data；The algorithm configuration module is used to carry out different data the configuration of parser；Institute
Authority management module is stated for setting the administration authority and access authority of each account；The operation result display module is for adopting
Operation result is shown with the form of figure or text；The data export module, for exporting in the server
Data.
7. a kind of big data system for clinical research according to claim 6, which is characterized in that the server is also
Module and algorithm configuration active module are realized including data management；
The distributed storage module realizes that module is connect with the network connection subsystem by the data management；The number
Module is realized according to management, for receiving data management order and arithmetic result displaying order in the client；
The distributed arithmetic module is connect by the algorithm configuration active module with the network connection subsystem；The calculation
Method allocation activation module controls the distributed arithmetic module and carries out for receiving the algorithm configuration order in the client
Data statistic analysis or the configuration for activating machine learning mathematical algorithm.
8. a kind of big data system for clinical research according to claim 1, which is characterized in that the client is
Any one in C# client, cell phone client and WEB client side.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910279145.2A CN109992627A (en) | 2019-04-09 | 2019-04-09 | A kind of big data system for clinical research |
Applications Claiming Priority (1)
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| CN113707289A (en) * | 2021-07-16 | 2021-11-26 | 联影智能医疗科技(北京)有限公司 | Medical artificial intelligence platform and construction method thereof |
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| CN111696677A (en) * | 2020-06-12 | 2020-09-22 | 成都金盘电子科大多媒体技术有限公司 | Information management system for supporting clinical scientific research by using medical big data |
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