CN110188240A - Medical imaging data-storage system - Google Patents
Medical imaging data-storage system Download PDFInfo
- Publication number
- CN110188240A CN110188240A CN201910468688.9A CN201910468688A CN110188240A CN 110188240 A CN110188240 A CN 110188240A CN 201910468688 A CN201910468688 A CN 201910468688A CN 110188240 A CN110188240 A CN 110188240A
- Authority
- CN
- China
- Prior art keywords
- data
- medical imaging
- module
- imaging data
- storage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/7867—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, title and artist information, manually generated time, location and usage information, user ratings
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
- G06F16/9014—Indexing; Data structures therefor; Storage structures hash tables
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/602—Providing cryptographic facilities or services
-
- 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
Abstract
The present invention relates to technical field of information storage, in particular to a kind of medical imaging data-storage system, including ontology server and Cloud Server, the ontology server from medical image data for collecting the patient data of different zones, Different hospital, different time；The ontology server is used for the retrieval from patient data and medical imaging data, and there are the associated datas of cross correlation；The ontology server handles to obtain data packet for associated data to be carried out packing；The ontology server is used to that data packet to be encrypted storage into ontology server or Cloud Server for connecting Cloud Server, the ontology server in real time.The present invention can be improved the access speed of medical data.
Description
Technical field
The present invention relates to technical field of information storage, in particular to a kind of medical imaging data-storage system.
Background technique
With medical information build propulsion, hospital information system (Hospital information system,
HIS), radiology information system (Radiology information system, RIS) and image archiving and communication system
(Picture archiving and communication system, PACS) each large and medium-sized medical institutions are gradually at home
It is popularized.With continuously improving for medical details, clinical diagnosis and image check method, the number stored in medical information system
Increase explosively according to amount.
With being continuously increased for all kinds of medical imaging devices of hospital, the data volume of medical image also can be increasing, logarithm
According to storage equipment scale and require it is increasing, to the storages of these data, management and use at present hospitals informationization
An emphasis.How safe preservation these unstructured medical image datas, to possess the user of different access rights (as cured
Life, patient, Health Administration mechanism etc.) quick search and the service of having access to are provided, it realizes that area medical information is shared, becomes medical row
One of the significant challenge that industry faces.
The image store of existing medical system is all stored on single server, it has following bottleneck, first is that when depositing
When storing up server delay machine, the normal use of medical profession system will affect, such as there is data in magnetic disk damage in serious situation, and one section
Time is difficult to repair data, so that Medical Devices and operation system are unavailable, seriously affects the Normal Vetting work of hospital；Second is that
With the development of medical information, so that image data increases explosively, single server can only be in a manner of adding disk
Increase memory space, still, due to being limited by memory and processor, memory capacity dilatation is limited for separate unit service, and
And after data volume reaches certain scale, access efficiency is substantially reduced, and is influenced medical system and is read image data.Third is that medical shadow
As data are related to the privacy of patient, data is easy leakage to data after storing, is unfavorable for the protection of patient privacy.
It is continuous since the storage of medical image data is of great significance, but with all kinds of medical imaging devices of hospital
Increasing, the data volume of medical image can be increasing, and data volume is bigger, if being stored in the conventional mode, storage mode
Calling access that is relatively simple, being unfavorable for after storage.
Summary of the invention
Present invention is primarily aimed at medical imaging data-storage system is provided, the access effect of medical data can be improved
Rate, and then improve and consult speed.
In order to achieve the above objectives, the present invention provides medical imaging data-storage systems, including ontology server and cloud clothes
Be engaged in device, the ontology server for from medical image data collect different zones, Different hospital, different time patient's number
According to；The ontology server is used for the retrieval from patient data and medical imaging data, and there are the associated datas of cross correlation；Institute
Ontology server is stated to handle to obtain data packet for associated data to be carried out packing；The ontology server for connecting cloud in real time
Server, the ontology server are used to that data packet to be encrypted storage into ontology server or Cloud Server.
The working principle of the invention and advantage are:
Increase with medical imaging data explosion formula, and after data volume reaches certain scale, access efficiency is significantly
It reduces, influences medical system and read image data.In the present solution, medical imaging data can be stored into local server, again
Can be by medical imaging data real-time storage into Cloud Server, the mode without adding disk increases memory space, reduces doctor
Treat the carrying cost of image data.And this programme can will be present associated data and carry out unified storage, improve access effect
Rate avoids the storage of data sheet one, laborious when searching related data, and this programme is protected also to data into encryption
The safety of storing data is demonstrate,proved.
It further, further include that data split encrypting module, the data split encrypting module for generating medical imaging number
According to fractionation mould, and mould is split according to medical imaging data, data are split into several data blocks.
Data packet, which split according to medical imaging data fractionation mould, forms data block, i.e., carries out at encryption to data packet
Reason, if need to check, initial data just must split mould according to medical imaging data and be combined data block, therefore ensure that number
Safety after being stored again according to block.
It further, further include encrypted template feed generation module, the encrypted template feed generation module is dynamic for generating
The medical imaging data of state split mould.
Fixed and single medical imaging data split mould, are easy to be leaked, and medical imaging data fractionation mould is moved
After state generates, medical imaging data split mould and are not easy to be leaked, and improve the safety of storing data.
It further, further include that data precision splits module, the data precision splits module and is used for according to medical imaging number
Data packet is split into several different orders, different size, the data block of different names according to mould is split.
Data packet is split into different order, different size, the data block of different names, is torn open in no medical imaging data
Divide mould, it is not easy to be combined to obtain original data packet for data block, improve the safety of storing data.
It further, further include storage inside module and outer memory module, the storage inside module is for directly storing
The medical imaging data of patient, are also used to storing data block；The outer memory module is used to data block passing through communication module
It stores in Cloud Server.
It is more convenient, safer that opposite outer storage is locally stored, can directly store original medical imaging data, it can also be straight
The data block after storage is split is connect, selection is more.Capacity is bigger compared to being locally stored for external storage, the carrying cost of mass data
It is lower compared to being locally stored.
It further, further include data multiple spot memory module, the data multiple spot memory module is for arriving data block storage
In several ontology servers or Cloud Server.
Multiple spot storage can store the data block after fractionation among multiple servers simultaneously, and the upload for improving data is deposited
Speed is stored up, speed is consulted in the downloading of also raising data.
Further, further include that data transfer module, if the data transfer module in batches, recall to and be stored in
Data block in dry ontology server or Cloud Server.
Since the data volume stored in medical information system increases explosively, the amount of storage of data is larger in server,
Data transfer module can in batches, recall to the data of storage, confusion reigned when data being avoided to recall to causes loss of data.
It further, further include data inspection module, the data inspection module is used to split mould according to medical imaging data
It inversely combines several data blocks and generates original data packet.
Compared to traditional direct storage, the safety of storing data is improved.
Further, further include with lower module,
Data processing module: for there are the patient datas of cross correlation to carry out listing arrangement generation patient data's integration
The medical imaging data of patient are carried out corresponding row and generate medical image integration data by data, and by patient data's integration data
It is formatted with medical image integration data and generates identical data format, and carried out overlapping combinations and generate integrated data；
Data disassemble module: for according to medical imaging data split mould, by integrated data split into several different orders,
Different size, the data block of different names, and extract the keyword of several data blocks；
Data encryption module: for using preset hash algorithm to carry out Hash calculation to the keyword of several data blocks,
To obtain the Hash calculation value of several data blocks, and using Hash calculation value as the storage address of data block where keyword, then
The dislocation of all Hash calculation values is assigned to all data blocks as the header of data block.
The safety of data had not only been improved by hash algorithm, but also has improved the access speed of data, it is only necessary to pass through key
Word, which searches big any data block, can find all data blocks.
It further, further include clash handle module, the clash handle module is used to obtain phase when different keywords
With Hash calculation value when, then scan empty storage unit and calculate new Hash calculation value again.
It avoids data storage and there is conflict, lead to loss of data.
Detailed description of the invention
Fig. 1 is the logic diagram of medical imaging data-storage system embodiment one of the present invention.
Specific embodiment
It is further described below by specific embodiment:
Embodiment one:
A kind of medical imaging data-storage system, as shown in Figure 1, including ontology server and Cloud Server, ontology services
Device comprises the following modules:
Data collection module, memory module, consults module, memory detection module at data processing module.
Data collection module includes following two module:
Information collection module: for collecting the patient of different zones, Different hospital, different time from medical image data
Data；
Cross correlation retrieval module: for there are the associations of cross correlation for retrieval from patient data and medical imaging data
Data.
Data processing module includes following four module:
Data packing block: it handles to obtain data packet for associated data to be carried out packing；
Data encryption splits module: splitting mould for generating medical imaging data, and splits mould according to medical imaging data
Data are split into several data blocks；
Encrypted template feed generation module: mould is split for generating dynamic medical imaging data；
Data precision splits module: suitable for data packet to be split into several differences according to medical imaging data fractionation mould
Sequence, different size, the data block of different names.
Memory module includes following three modules:
Storage inside module: for directly storing the medical imaging data of patient, it is also used to storing data block；
Outer memory module: for being stored data block by communication module into Cloud Server；
Data multiple spot memory module: for storing data block into several ontology servers or Cloud Server.
Communication module: for connecting Cloud Server in real time.
Consulting module includes following two module:
Data transfer module: in batches, recall to storage to the number in several ontology servers or Cloud Server
According to block；
Data inspection module: for according to medical imaging data split mould inversely combine several data blocks generate it is original
Data packet.
Memory detection module includes following two module:
Local server memory detection module: it with the stored memory of then real-time monitoring local server, is deposited detecting
When storing up low memory, issues memory and overflow alarm；
Cloud Server memory detection module: it with the stored memory of then real-time monitoring Cloud Server, is detecting in storage
When depositing deficiency, issues memory and overflow alarm.
Specific implementation process is as follows:
Medical image is stored with the meaning of three aspects:
One, industry provides: medical institutions' patient medical history storage life and the storage life of inpatient cases have the prescribed number of years.Medicine shadow
As belonging to case history content as important diagnosis and treatment foundation, it is also desirable to the keeping corresponding prescribed number of years.As medical institutions, this is
Its responsibility that must be born of obtaining employment.
Two, patient's further consultation demand: on the one hand further consultation patient checks Shi doctor and needs when time inspection result and history image
Comparison, to be judged to progression of the disease and future therapeutic scheme.On the other hand, the same different doctor of piece sees down
Come, medical treatment result is possible to differ widely, the preservation of patient's primitive medicine image, can be used as Patient transfer and depth treatment
Effective foundation.
Three, important evidence: compared with oral account, diagnosis and therapy recording, medical image is the disease that most can intuitively, really reflect patient
State of an illness condition, if there is doctor-patient dispute, medical image can be used as a part of important diagnosis and treatment evidence.
The storage of medical image data is of great significance from the above, if being stored in the conventional mode, deposits
Storage mode is relatively simple, the calling access being unfavorable for after storage, and in the present solution, can will be collected from medical image data
The patient data of different zones, Different hospital, different time, then from patient data and medical imaging data there is intersection in retrieval
Associated associated data, and stored.Setting can also obtain the number being attached thereto when calling data in this way
According to can make quick judgement to the similar state of an illness, avoid and searched from server, save the tune of related data
With the time, access speed is improved.
Ontology server can connect Cloud Server in real time, consult storing data at any time, compared to tradition with then just looking into
The mode for readding storing data is compared, and is more convenient, more rapidly.
Include to be locally stored to store with other places in this programme, opposite outer storage is locally stored and is more convenient, is safer, it can be straight
It connects and stores original medical imaging data, can also directly store the data block after splitting, selection is more.External storage is compared to local
Memory capacity is bigger, expands capacity and also facilitates, so that mass data transmission carrying cost is lower compared to being locally stored.
Since medical imaging data are related to the privacy of patient, the safety that data storage cannot be ignored in storage is asked
Topic, in the present solution, data packet can be encrypted, data packet splits mould according to medical imaging data and carries out fractionation formation
Data block, if need to check, initial data just must split mould according to medical imaging data and be combined data block, therefore guarantee
Data block again stored after safety.Since fixed and single medical imaging data split mould, it is easy to be leaked, will cures
After treating image data fractionation mould progress dynamic generation, medical imaging data split mould and are not easy to be leaked, and improve storing data
Safety.Data packet is split into different order, different size, the data block of different names, is not having medical imaging data
Mould is split, it is more difficult to be combined data block to obtain original data packet, improve the safety of storing data.
The data volume stored in medical information system increases explosively, and memory detection module is local with then real-time monitoring
The stored memory of server and Cloud Server is sounded an alarm when detecting stored memory deficiency, and administrative staff is notified to expand more
Big server storage or transfer memory space, avoids being unable to storing data, and leads to loss of data
Embodiment two:
Embodiment two and embodiment one the difference is that: data encryption processing further include with lower module,
Data processing module: for there are the patient datas of cross correlation to carry out listing arrangement generation patient data's integration
The medical imaging data of patient are carried out corresponding row and generate medical image integration data by data, and by patient data's integration data
It is formatted with medical image integration data and generates identical data format, and carried out overlapping combinations and generate integrated data.
Data disassemble module: for according to medical imaging data split mould, by integrated data split into several different orders,
Different size, the data block of different names, and extract the keyword of several data blocks.
Data encryption module: for using preset hash algorithm to carry out Hash calculation to the keyword of several data blocks,
To obtain the Hash calculation value of several data blocks, and using Hash calculation value as the storage address of data block where keyword, then
The dislocation of all Hash calculation values is assigned to all data blocks as the header of data block.
Clash handle module: for when different keywords has obtained identical Hash calculation value, then scanning empty deposit
Storage unit calculates new Hash calculation value again.
Specific implementation process is as follows:
If the following format of patient data's integration data:
The name number state of an illness
The right leg femoral fracture of Liu 3 20144432
The left leg femoral fracture of Li Si 20144452
The right leg fracture of tibia of king 7 20144472
The right leg fracture of fibula of Tang 6 20144492
Medical image integration data are then successively arranged according to CT images photo.It is split further according to medical imaging data
Integrated data is split into different data blocks, such as Liu three, Li Si is assigned in a data block by mould, is ordered as data block A；
King seven, Tang six are assigned in another data block, ordered as data block B.
Extractible keyword has name, left leg, right leg, femur, shin bone, fibula, fracture etc..Example: being key with name
Word key, the address for using hash function to show that the cryptographic Hash of key is stored as data block where the key.Then the data block is deposited
To the address.If the address has had data (that is: different key has obtained identical cryptographic Hash), empty deposit is scanned
Storage unit calculates new cryptographic Hash again, and so on.When lookup, input will inquire the key value of data, and example: Liu three.Program will
The cryptographic Hash for calculating Liu key three will obtain the data block A of address further according to cryptographic Hash.Due to the cryptographic Hash of data block A
The data block B that can be given to by dislocation where king seven, Tang six, and the header as data block B, therefore obtaining comprising Liu three
Data block A when, the data block B that can be quickly found out where king seven, Tang six.And so on, all data blocks constitute head and the tail
The data block chain of connection can find all data blocks as long as finding one of them, and all data blocks are summarized, then
According to medical imaging data split mould can restoring data, obtain personal data integration data and medical image integration data, improve
The access speed of data and the safety of data.
What has been described above is only an embodiment of the present invention, and the common sense such as well known specific structure and characteristic are not made herein in scheme
Excessive description, technical field that the present invention belongs to is all before one skilled in the art know the applying date or priority date
Ordinary technical knowledge can know the prior art all in the field, and have using routine experiment hand before the date
The ability of section, one skilled in the art can improve and be implemented in conjunction with self-ability under the enlightenment that the application provides
This programme, some typical known features or known method should not become one skilled in the art and implement the application
Obstacle.It should be pointed out that for those skilled in the art, without departing from the structure of the invention, can also make
Several modifications and improvements out, these also should be considered as protection scope of the present invention, these all will not influence the effect that the present invention is implemented
Fruit and patent practicability.The scope of protection required by this application should be based on the content of the claims, the tool in specification
The records such as body embodiment can be used for explaining the content of claim.
Claims (10)
1. medical imaging data-storage system, it is characterised in that: including ontology server and Cloud Server, the ontology server
For collecting the patient data of different zones, Different hospital, different time from medical image data；The ontology server is used
In there are the associated datas of cross correlation for retrieval from patient data and medical imaging data；The ontology server will be for that will close
Connection data carry out packing and handle to obtain data packet；The ontology server for connecting Cloud Server, the ontology services in real time
Device is used to that data packet to be encrypted storage into ontology server or Cloud Server.
2. medical imaging data-storage system according to claim 1, it is characterised in that: further include that data split encryption mould
Block, the data split encrypting module and split mould for generating medical imaging data, and splitting mould according to medical imaging data will
Data split into several data blocks.
3. medical imaging data-storage system according to claim 2, it is characterised in that: further include that encrypted template dynamic is raw
At module, the encrypted template feed generation module splits mould for generating dynamic medical imaging data.
4. medical imaging data-storage system according to claim 3, it is characterised in that: further include that data precision splits mould
Block, the data precision split module be used to be split according to medical imaging data mould by data packet split into several different orders,
Different size, the data block of different names.
5. medical imaging data-storage system according to claim 4, it is characterised in that: further include storage inside module and
Outer memory module, the storage inside module are also used to storing data block for directly storing the medical imaging data of patient；
The outer memory module is used to by communication module store data block into Cloud Server.
6. medical imaging data-storage system according to claim 4, it is characterised in that: further include data multiple spot storage mould
Block, the data multiple spot memory module are used for data block storage into several ontology servers or Cloud Server.
7. medical imaging data-storage system according to claim 5 or 6, it is characterised in that: further include that data transfer mould
Block, the data transfer module in batches, recall to the data being stored in several ontology servers or Cloud Server
Block.
8. medical imaging data-storage system according to claim 7, it is characterised in that: it further include data inspection module,
The data inspection module, which is used to inversely combine several data blocks according to medical imaging data fractionation mould, generates original data
Packet.
9. medical imaging data-storage system according to claim 2, it is characterised in that: further include with lower module,
Data processing module: for there are the patient datas of cross correlation to carry out listing arrangement generation patient data's integration number
According to, the medical imaging data of patient are subjected to corresponding row and generate medical image integration data, and by patient data's integration data and
Medical image integration data, which format, generates identical data format, and carries out overlapping combinations and generate integrated data；
Data disassemble module: for splitting mould according to medical imaging data, integrated data being split into several different orders, difference
Size, the data block of different names, and extract the keyword of several data blocks；
Data encryption module: for using preset hash algorithm to carry out Hash calculation to the keyword of several data blocks, with
To the Hash calculation value of several data blocks, and using Hash calculation value as the storage address of data block where keyword, then by institute
There is the dislocation of Hash calculation value to assign header of all data blocks as data block.
10. medical imaging data-storage system according to claim 9, it is characterised in that: it further include clash handle module,
The clash handle module is used for when different keywords has obtained identical Hash calculation value, then scans empty storage unit
New Hash calculation value is calculated again.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910468688.9A CN110188240A (en) | 2019-05-31 | 2019-05-31 | Medical imaging data-storage system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910468688.9A CN110188240A (en) | 2019-05-31 | 2019-05-31 | Medical imaging data-storage system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110188240A true CN110188240A (en) | 2019-08-30 |
Family
ID=67719273
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910468688.9A Pending CN110188240A (en) | 2019-05-31 | 2019-05-31 | Medical imaging data-storage system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110188240A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111599424A (en) * | 2020-04-27 | 2020-08-28 | 贵州精准健康数据有限公司 | Intelligent medical record big data center management method and device |
| CN111816287A (en) * | 2020-07-19 | 2020-10-23 | 贵州精准健康数据有限公司 | Regional ultrasonic dynamic consultation system |
| CN111831662A (en) * | 2020-07-24 | 2020-10-27 | 深圳市网通兴技术发展有限公司 | Medical data information processing method and system |
| CN113314203A (en) * | 2020-02-27 | 2021-08-27 | 中移(成都)信息通信科技有限公司 | Medical image data storage system, method, device, equipment and medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105610803A (en) * | 2015-12-23 | 2016-05-25 | 浙江工业大学 | Method for protecting privacy of cloud computed big data |
| CN105787280A (en) * | 2016-03-23 | 2016-07-20 | 武汉联影医疗科技有限公司 | Patient data processing method of medical cloud gateway, cloud gateway and medical cloud system |
| US20170195417A1 (en) * | 2008-12-22 | 2017-07-06 | Ctera Networks, Ltd. | Data files synchronization with cloud storage service |
| CN107656952A (en) * | 2016-12-30 | 2018-02-02 | 青岛中科慧康科技有限公司 | The modeling method of parallel intelligent case recommended models |
| CN109104404A (en) * | 2018-06-20 | 2018-12-28 | 广州中国科学院软件应用技术研究所 | A kind of medical big data system and method for dynamic encryption |
| CN109543187A (en) * | 2018-11-23 | 2019-03-29 | 中山大学 | Generation method, device and the storage medium of electronic health record feature |
| CN109616169A (en) * | 2018-12-24 | 2019-04-12 | 广州天鹏计算机科技有限公司 | Similar patients' method for digging, device, computer equipment and storage medium |
-
2019
- 2019-05-31 CN CN201910468688.9A patent/CN110188240A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170195417A1 (en) * | 2008-12-22 | 2017-07-06 | Ctera Networks, Ltd. | Data files synchronization with cloud storage service |
| CN105610803A (en) * | 2015-12-23 | 2016-05-25 | 浙江工业大学 | Method for protecting privacy of cloud computed big data |
| CN105787280A (en) * | 2016-03-23 | 2016-07-20 | 武汉联影医疗科技有限公司 | Patient data processing method of medical cloud gateway, cloud gateway and medical cloud system |
| CN107656952A (en) * | 2016-12-30 | 2018-02-02 | 青岛中科慧康科技有限公司 | The modeling method of parallel intelligent case recommended models |
| CN109104404A (en) * | 2018-06-20 | 2018-12-28 | 广州中国科学院软件应用技术研究所 | A kind of medical big data system and method for dynamic encryption |
| CN109543187A (en) * | 2018-11-23 | 2019-03-29 | 中山大学 | Generation method, device and the storage medium of electronic health record feature |
| CN109616169A (en) * | 2018-12-24 | 2019-04-12 | 广州天鹏计算机科技有限公司 | Similar patients' method for digging, device, computer equipment and storage medium |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113314203A (en) * | 2020-02-27 | 2021-08-27 | 中移(成都)信息通信科技有限公司 | Medical image data storage system, method, device, equipment and medium |
| CN111599424A (en) * | 2020-04-27 | 2020-08-28 | 贵州精准健康数据有限公司 | Intelligent medical record big data center management method and device |
| CN111599424B (en) * | 2020-04-27 | 2023-10-31 | 贵州精准健康数据有限公司 | Intelligent medical record big data center management method and device |
| CN111816287A (en) * | 2020-07-19 | 2020-10-23 | 贵州精准健康数据有限公司 | Regional ultrasonic dynamic consultation system |
| CN111816287B (en) * | 2020-07-19 | 2023-12-15 | 贵州精准健康数据有限公司 | Regional ultrasonic dynamic consultation system |
| CN111831662A (en) * | 2020-07-24 | 2020-10-27 | 深圳市网通兴技术发展有限公司 | Medical data information processing method and system |
| CN111831662B (en) * | 2020-07-24 | 2021-01-12 | 深圳市网通兴技术发展有限公司 | Medical data information processing method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110188240A (en) | Medical imaging data-storage system | |
| Theologou et al. | Pre‐operative intra aortic balloon pumps in patients undergoing coronary artery bypass grafting | |
| US20130346448A1 (en) | Methods and apparatus to enhance queries in an affinity domain | |
| KR20130093837A (en) | Methode and device of clinical data retrieval | |
| CN110189806A (en) | Medical diagnosis and treat health data storage system | |
| Plackett et al. | Clinical practice guideline adherence during Operation Inherent Resolve | |
| CN102682414B (en) | Medical information management system and method for managing medical information | |
| KR20090001565A (en) | Chart and medical information sharing server and method using in the hospital | |
| Rajadevi et al. | Secured storing and sharing of medical records based on blockchain | |
| Jeyakumar et al. | Secure medical image storage and retrieval for Internet of Medical Imaging Things using blockchain-enabled edge computing | |
| CN110946616A (en) | Ultrasonic detection system and ultrasonic detection method based on cloud platform | |
| CN111967048A (en) | Efficient matching and privacy protection method and system for genome data similarity | |
| Liu et al. | Blockchain-based Medical Data Storage and Sharing System | |
| CN113611383B (en) | Medical information acquisition method, device, electronic equipment and storage medium | |
| Levenstein | Bellyaching in these pages: upper gastrointestinal disorders in Psychosomatic medicine | |
| CN109411079A (en) | Audit diagnosis and treatment rule generating method, device, computer equipment and storage medium | |
| CN115422432A (en) | Dynamic searchable encryption method for massive high-dimensional medical data | |
| CN110611567B (en) | Privacy protection medical diagnosis and treatment system based on non-deterministic finite automaton | |
| JP2003150708A (en) | Medical information retrieval system | |
| Ge et al. | An intelligent fuzzy phrase search scheme over encrypted network data for IoT | |
| Boumezbeur et al. | Blockchain-based electronic health records sharing scheme with data privacy verifiable. | |
| Adam et al. | Privacy preserving integration of health care data | |
| Ramirez et al. | An event set approach to sequence discovery in medical data | |
| Woeltje et al. | Developing information technology for infection prevention surveillance | |
| CN117521118B (en) | Medical data searchable encryption privacy protection and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190830 |
|
| RJ01 | Rejection of invention patent application after publication |