CN110189805A - Clinical data central platform - Google Patents
Clinical data central platform Download PDFInfo
- Publication number
- CN110189805A CN110189805A CN201910467894.8A CN201910467894A CN110189805A CN 110189805 A CN110189805 A CN 110189805A CN 201910467894 A CN201910467894 A CN 201910467894A CN 110189805 A CN110189805 A CN 110189805A
- Authority
- CN
- China
- Prior art keywords
- information
- block
- module
- template
- clinical data
- 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
- 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
Abstract
The present invention relates to the information and communication technology (ICT) fields for handling medical data, specially a kind of clinical data central platform, including background server and database, it further include collection terminal, the collection terminal establishes connection for obtaining patient information, and for acquisition information and patient information for obtaining acquisition information, the background server by way of scan image, and medical record information is filtered out from database according to patient information, and according to acquisition information update case information.The technical issues of cannot uploading in system in the prior art, lead to patient cases' loss of learning the information in instrument, is able to solve using this programme.
Description
Technical field
The present invention relates to the information and communication technology (ICT) field for handling medical data, specially a kind of clinical data center
Platform.
Background technique
In modern society, the relationship between system and instrument is inseparable, with the development of science and technology, more and more
High-tech, intelligentized instrument and system occur, and old instrument is gradually eliminated, and system is also constantly updating, but has
When the instrument and renewal speed of system and different, perhaps since numerous reason systems have been updated, but instrument does not carry out more
It changes, this is easy for old instrument information collected occur can not uploading in updated system, leads to the letter in system
It ceases and imperfect.For example, hospital can form complete patient's shelves using the detection information of patient is uploaded in system now
Case, hospital possess numerous instruments, are uploaded directly into the system of hospital by certain information that instrument acquires and form patient's
Detection information, but the replacement speed of hospital equipment is very slow, after hospital more new system, system be may require that according to its transport protocol
Upload information, but the information of certain instruments acquisition and do not meet the requirement of transport protocol, the information of instrument acquisition at this time is just not
It can upload in system or instrument not have the function of upload information inherently, this is easy for the detection information for leading to patient
Missing, can not form complete mood profile.
Summary of the invention
It, in the prior art cannot be by the information in instrument with solution the invention is intended to provide a kind of clinical data central platform
The technical issues of uploading in system, leading to patient cases' loss of learning.
The present invention provides base case: clinical data central platform, including background server and database, further includes acquisition
End, the collection terminal by way of scan image for obtaining acquisition information, and the background server is for obtaining patient's letter
Breath, and connection is established for acquisition information and patient information, and medical record information, and root are filtered out from database according to patient information
According to acquisition information update case information.
Illustrate: patient information is patient's name, Gender, patient age and patient identity card number etc., and acquisition information is
The detection information that cannot be uploaded directly into system in patient's current check, case information are the inspection of all inspection before patient
Measurement information.
The working principle and beneficial effect of base case: the detection information of existing instrument, which can be transferred through virtual printing, will test
Information prints to form papery shelves, is scanned to form acquisition information by detection information of the collection terminal to papery, and selection is adopted
Collection end and system are able to carry out the transmission of data, are uploaded to the information that cannot be uploaded in instrument in system by collection terminal.Doctor
Raw or testing staff inputs patient information, and doctor or testing staff can first input patient information, then obtains acquisition information and suffer from
Person's information establish connection, can also first obtain acquisition information, then input patient information label acquisition information, according to patient information from
The corresponding case information of the patient is filtered out in database, and according to the acquisition information update case information of current detection.Due to
All detection informations of all patients upload in system, and the medical record information of patient is complete, and complete trouble is possessed in system
Person's archives.
Further, the database purchase has several information templates, and the background server is for obtaining any information mould
Version, and updated medical record information is divided by several block of informations according to the information template, and connection is established between block of information.
The utility model has the advantages that the safety of information is particularly significant in a network, if case information is directly stored, when case is believed
After breath is stolen, the medical record information of patient can be leaked directly by other people, be divided into case information by information template multiple
Block of information, and connection is established between block of information, other people want the case information of leakage patient, in addition to needing to steal case information
Outside, the rule or mode of establishing connection between steal information template and block of information are also needed, the disease of leakage patient is wanted for other people
It goes through information to interfere, promotes the safety of the case information of patient.
Further, the background server includes info conversion module, and the info conversion module is for receiving case letter
Breath, and case information is converted into picture format by text formatting or text formatting is converted to by picture format.
The utility model has the advantages that the dimension of segmentation can only be the length of data, and scheme when the case information of text formatting is split
It when the medical record information of piece format is split, is split based on space, the dimension of the dimension of segmentation compared with the segmentation of text formatting
Degree is more, so that being divided into the information template of block of information to be not easy to be cracked case information.When storing medical record information, by case
Information is converted to picture format by text formatting, when updating medical record information, needs first to be converted to medical record information by picture format
Text formatting.
Further, the background server includes information division module and establishes Connection Module, the information division module
For obtaining any information template from database, and medical record information is divided by several block of informations, institute according to the information template
It states and establishes Connection Module for obtaining association algorithm and correlation rule from database, and according to each information of association algorithm generation
The unique relating value of block, and connection is established between block of information according to relating value and correlation rule.
The utility model has the advantages that case information is divided by several block of informations by the information template obtained, it is raw by association algorithm
At the corresponding relating value of each block of information, block of information is constant, and the relating value generated by association algorithm is just identical, each block of information
The relating value of generation is all different, and is that all block of information establishes connection according to the relating value of block of information and correlation rule, when obtaining
When getting a block of information, all block of information just can be got.
Further, the correlation rule is the mark label that identical quantity is generated according to the quantity of block of information, and according to mark
Remember region corresponding with block of information on label random labelling information template；The correlation rule is to obtain specified mark label to correspond to
Block of information relating value, and according to the sequence of mark label using the relating value as the corresponding block of information of next mark label
File header, and using the relating value of the corresponding block of information of end mark label as the file header of information template.
The utility model has the advantages that have 5 on information template when information number of blocks is 5 and divide identical region with block of information, it is raw
At 5 mark labels, such as mark label is 1-5, according to 5 regions on mark label random labelling information template, i.e., often
One mark label of one region existence anduniquess, specifying mark label is 1, obtains the corresponding letter in region that mark label is 1
The relating value that ceases block, according to the sequence of mark label, using the relating value as mark label for 2 the corresponding block of information in region
File header ought know the relating value just and can know that mark label is the 2 corresponding block of information in region, successively carry out, until obtaining
Taking end mark label is the relating value of the 5 corresponding block of information in region, the corresponding information in region for being 5 by end mark label
File header of the relating value of block as information template ought know that end mark label is the pass of the 5 corresponding block of information in region
Connection value just can know that information template.
Further, the association algorithm is hash algorithm, and the Connection Module of establishing is believed for being generated according to hash algorithm
The cryptographic Hash of block is ceased as relating value.
The utility model has the advantages that the calculating time of hash algorithm is short, cannot similarly be exported by hash algorithm operation, i.e., not
It is all different with block of information by the cryptographic Hash that Hash operation obtains, is that can not pass through cryptographic Hash according to the characteristic of hash algorithm
The data that are inputted or information, case information is further ensured that as relating value by the cryptographic Hash that hash algorithm obtains
Safety.
Further, the background server includes information sifting module, and the information sifting module according to patient for believing
Breath filters out block of information, and successively filters out remaining block of information and information template according to the block of information, and according to block of information
Quantity generates splicing label, and presses screening sequence successively mark information block.
The utility model has the advantages that the pervious medical record information of patient need to be first obtained when updating case information, since medical record information is to believe
The mode of breath block is stored, therefore also needs to obtain whole block of information and information template, filters out first according to patient information
Block information blocks are related due to establishing between block of information, all block of information and information just can be filtered out by the block of information
Template.Splicing label is generated by the quantity of block of information, when information number of blocks is 5, is spliced marked as 1-5, according to screening
Sequentially, that is, the splicing of the first block information blocks label filtered out is marked as 1, the splicing mark of the second block information blocks label filtered out
Number be 2, successively mark whole block of information.
Further, the background server includes information splicing module, and the information splicing module is used for according to information mould
Mark label and splicing label concatenation information block in version.
The utility model has the advantages that when mark label is 1-5, corresponding splicing label is also 1-5, according to mark label and splicing label
It is corresponding in turn to the region in block of information and information template, after the completion of the splicing of all block of informations, forms complete medical record information.
Further, the information splicing module is used to obtain any mark label on information template, and successively obtains complete
The block of information is spliced to information mould when the splicing label of block of information is identical as mark label by the splicing label of portion's block of information
All information block, is successively spliced in information template by the corresponding region of mark label of version.
The utility model has the advantages that obtaining mark label 1, the splicing label of block of information is successively obtained, it, will when splicing label is also 1
Splice the block of information splicing marked as 1 and be 1 region in mark label, then obtain mark label 2, is spelled until by all information block
It is connected in information template.
Further, the background server includes information updating module, and the information updating module is used to be believed according to acquisition
Breath updates medical record information, and in the database by the storage of updated medical record information.
The utility model has the advantages that using the detection information of patient's current detection as acquisition information, according to acquisition information update case history letter
Breath, it is ensured that the integrality of mood profile.
Detailed description of the invention
Fig. 1 is the logic diagram of clinical data central platform embodiment one of the present invention.
Fig. 2 is the logic diagram of clinical data central platform embodiment two of the present invention.
Specific embodiment
It is further described below by specific embodiment:
Embodiment one
Clinical data central platform, as shown in Fig. 1, including background server, database and collection terminal, background server
Including information association module, information sifting module and information updating module, database purchase has all cases information, all cases
Information is the information such as diagnosis records, inspection result all before patient.
The system that collection terminal and hospital are updated is able to carry out data transmission, and acquisition terminal is that can sweep in the present embodiment
The scanner of paper document is retouched, collection terminal is used to obtain the acquisition information of patient, and acquisition information is sent to background server,
Acquiring information is the detection data by the patient of virtual printing.Information association module obtains trouble for receiving acquisition information
The patient information of person, and connection is established for patient information and acquisition information, and patient information is sent to information sifting module, it adopts
Collection information is sent to information updating module.In the present embodiment, patient information be patient's name, Gender, patient age and
Patient identity card number, patient information are inputted by hospital personnel by computer.Information sifting module for receiving patient information, and from
Case information corresponding with patient information is obtained in database, and is sent to information updating module.Information updating module is for connecing
After receiving case information and acquisition information, according to acquisition information update case information, and updated case information is stored in number
According in library.
Embodiment two
Network is exactly information security issue brought by rapidly developing, and how to make our information in a network safer
? the message file usually stored in the prior art to needs encrypts, and the permission of information is checked in limitation, generallys use existing
Public private key pair in technology is encrypted or is digitally signed to message file, but after permission is acquired, it just can be easily
Acquisition message file, simultaneously because what processing is information itself do not carry out, message file just can directly know after being acquired
The content of road information.
Therefore, the present embodiment and embodiment one the difference is that: as shown in Fig. 2, background server further includes letter
Breath conversion module, information division module establish Connection Module, information splicing module and case history update module, also deposit in database
Contain correlation rule, association algorithm and all information template, in the present embodiment association algorithm be hash algorithm, case information with
The mode of block of information stores in the database.
Information update process: case information at this time is text formatting, and info conversion module is used for case information by text
This format is converted to picture format, and the medical record information after conversion is sent to information division module.Information division module is used for
Any information template is obtained from database, and medical record information is divided by several block of informations according to the information template, and will letter
Breath template and all information block are sent to and establish Connection Module.Establish Connection Module for from database obtain association algorithm and
Correlation rule, and each unique relating value of block of information is generated according to association algorithm, and be letter according to relating value and correlation rule
It ceases and establishes connection between block.
Specifically establishing associated process is to establish Connection Module for generating the label of identical quantity according to the quantity of block of information
Label, and according to region corresponding with block of information on mark label random labelling information template；And referred to according to association algorithm acquisition
Determine the relating value of the corresponding block of information of mark label, and according to the sequence of mark label using the relating value as next mark label
The file header of corresponding block of information, and using the relating value of the corresponding block of information of end mark label as the file of information template
Head.
Connection Module is established for the block of information and information module of establishing connection to be sent to information updating module, information is more
New module is used for according to block of information and information template more new database, and information update process terminates.
In the present embodiment, information sifting module is also used to receive patient information, and according to patient information from database
The first block information blocks are filtered out, and the corresponding cryptographic Hash of the block of information are generated as relating value by hash algorithm, and according to pass
Connection value filters out the second block information blocks, until filtering out last block information blocks, generates the corresponding association of last block information blocks
Value filters out information template from database；And generate identical with information number of blocks splicing label, and according to screening sequence according to
The whole block of information of secondary label, and by after label block of information and information template be sent to information splicing module.
Information splicing module is used to obtain any mark label on information template, and successively obtains the spelling of all information block
Label is connect, when the splicing label of block of information is identical as mark label, which is spliced to the mark label of information template
All information block is successively spliced in information template by corresponding region, and spliced block of information is sent to information conversion
Module, spliced block of information is the case information of picture format at this time.
Info conversion module is used to case information being converted to text formatting by picture format, and the case after conversion is believed
Breath is sent to case update module.Case history update module is used for according to acquisition information update medical record information, and passes through above- mentioned information
Renewal process is according to case information more new database.
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. clinical data central platform, including background server and database, it is characterised in that: it further include collection terminal, it is described to adopt
For obtaining acquisition information by way of scan image, the background server is to adopt for obtaining patient information at collection end
Collect information and patient information establishes connection, and medical record information is filtered out from database according to patient information, and believe according to acquisition
Breath updates case information.
2. clinical data central platform according to claim 1, it is characterised in that: the database purchase has several information
Template, the background server divide updated medical record information for obtaining any information template, and according to the information template
Several block of informations are cut into, and establish connection between block of information.
3. clinical data central platform according to claim 2, it is characterised in that: the background server includes that information turns
Block is changed the mold, case information is converted to picture format by text formatting for receiving case information by the info conversion module
Or text formatting is converted to by picture format.
4. clinical data central platform according to claim 2 or 3, it is characterised in that: the background server includes letter
Breath division module is used to obtain any information template, and root from database with Connection Module, the information division module is established
Medical record information is divided into several block of informations according to the information template, the Connection Module of establishing from database for obtaining association
Algorithm and correlation rule, and each unique relating value of block of information is generated according to association algorithm, and advised according to relating value and being associated with
Connection is then established between block of information.
5. clinical data central platform according to claim 4, it is characterised in that: the correlation rule is according to block of information
Quantity generate the mark label of identical quantity, and according to area corresponding with block of information on mark label random labelling information template
Domain；The correlation rule is the relating value for obtaining the specified corresponding block of information of mark label, and will according to the sequence of mark label
File header of the relating value as the corresponding block of information of next mark label, and by the pass of the corresponding block of information of end mark label
File header of the connection value as information template.
6. clinical data central platform according to claim 4, it is characterised in that: the association algorithm is hash algorithm,
The Connection Module of establishing is for generating the cryptographic Hash of block of information according to hash algorithm as relating value.
7. clinical data central platform according to claim 6, it is characterised in that: the background server includes information sieve
Modeling block, the information sifting module is used to filter out block of information according to patient information, and is successively filtered out according to the block of information
Remaining block of information and information template, and splicing label is generated according to the quantity of block of information, and successively mark letter by screening sequence
Cease block.
8. clinical data central platform according to claim 7, it is characterised in that: the background server includes that information is spelled
Connection module, the information splicing module are used for according to the mark label and splicing label concatenation information block on information template.
9. clinical data central platform according to claim 8, it is characterised in that: the information splicing module is for obtaining
Any mark label on information template, and successively obtain all information block splicing label, when block of information splicing label with
When mark label is identical, the corresponding region of the mark label which is spliced to information template, successively by all information block
It is spliced in information template.
10. according to claim 1 or clinical data central platform described in 9, it is characterised in that: the background server includes letter
Update module is ceased, the information updating module is used for according to acquisition information update medical record information, and by updated medical record information
Storage is in the database.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910467894.8A CN110189805A (en) | 2019-05-31 | 2019-05-31 | Clinical data central platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910467894.8A CN110189805A (en) | 2019-05-31 | 2019-05-31 | Clinical data central platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110189805A true CN110189805A (en) | 2019-08-30 |
Family
ID=67719334
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910467894.8A Pending CN110189805A (en) | 2019-05-31 | 2019-05-31 | Clinical data central platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110189805A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116504415A (en) * | 2023-06-20 | 2023-07-28 | 中国人民解放军总医院 | Medical information processing system and method based on data analysis |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120133620A1 (en) * | 2007-05-15 | 2012-05-31 | Fuji Xerox Co., Ltd. | Electronic writing instrument, computer system, electronic writing method and computer readable medium |
| CN103118089A (en) * | 2013-01-22 | 2013-05-22 | 华中科技大学 | Safe storage method based on a plurality of cloud storage systems and system thereof |
| CN104408678A (en) * | 2014-10-31 | 2015-03-11 | 中国科学院苏州生物医学工程技术研究所 | Electronic medical record system for personal use |
| CN104657928A (en) * | 2015-02-14 | 2015-05-27 | 张晓� | Medical treatment cooperation system |
| CN104715436A (en) * | 2013-12-13 | 2015-06-17 | 北京美智医疗科技有限公司 | Medical information collecting and filing method and system |
-
2019
- 2019-05-31 CN CN201910467894.8A patent/CN110189805A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120133620A1 (en) * | 2007-05-15 | 2012-05-31 | Fuji Xerox Co., Ltd. | Electronic writing instrument, computer system, electronic writing method and computer readable medium |
| CN103118089A (en) * | 2013-01-22 | 2013-05-22 | 华中科技大学 | Safe storage method based on a plurality of cloud storage systems and system thereof |
| CN104715436A (en) * | 2013-12-13 | 2015-06-17 | 北京美智医疗科技有限公司 | Medical information collecting and filing method and system |
| CN104408678A (en) * | 2014-10-31 | 2015-03-11 | 中国科学院苏州生物医学工程技术研究所 | Electronic medical record system for personal use |
| CN104657928A (en) * | 2015-02-14 | 2015-05-27 | 张晓� | Medical treatment cooperation system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116504415A (en) * | 2023-06-20 | 2023-07-28 | 中国人民解放军总医院 | Medical information processing system and method based on data analysis |
| CN116504415B (en) * | 2023-06-20 | 2023-09-08 | 中国人民解放军总医院 | Medical information processing system and method based on data analysis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103221972B (en) | Medical system | |
| CN107273698B (en) | Processing and detecting method and system for artificial intelligence training standard library | |
| CN113643821A (en) | Multi-center knowledge graph joint decision support method and system | |
| US20080103816A1 (en) | Physician accreditation system with mechanism for automated records extraction | |
| CN104715436A (en) | Medical information collecting and filing method and system | |
| US11693990B1 (en) | Medical data governance | |
| US20040162831A1 (en) | Document handling system and method | |
| CN114882967A (en) | Patient information storage system based on big data | |
| CN105095332A (en) | Information processing apparatus and information processing method | |
| CN111210884B (en) | Clinical medical data acquisition method, device, medium and equipment | |
| CN110197705A (en) | A kind of clinical data service system and method based on cloud platform | |
| CN112562816A (en) | System and method for correspondence and evaluation of diagnosis result and pathological result of tumor image report | |
| CN110189805A (en) | Clinical data central platform | |
| CN104063629B (en) | Remote hierarchical medical system | |
| JP6985721B2 (en) | Pathological diagnosis management system, method and program | |
| CN103399854B (en) | Data positioning identifying and storing method and system | |
| CN109671508B (en) | Clinical care management system and method based on data mining algorithm | |
| CN116488890A (en) | Information sharing method and system based on medical community platform | |
| CN113380414B (en) | Data acquisition method and system based on big data | |
| CN112349364A (en) | Method for acquiring clinical data | |
| CN115705678A (en) | Image data processing method, computer equipment and medium | |
| CN112133392A (en) | Electronic medical record sharing method based on block chain | |
| CN110689950A (en) | Resident health card handling method and system | |
| CN110197722A (en) | AI-CPU system platform | |
| CN109949890A (en) | A kind of case of hospital information storage 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 |