CN110189806A - Medical diagnosis and treat health data storage system - Google Patents
Medical diagnosis and treat health data storage system Download PDFInfo
- Publication number
- CN110189806A CN110189806A CN201910471264.8A CN201910471264A CN110189806A CN 110189806 A CN110189806 A CN 110189806A CN 201910471264 A CN201910471264 A CN 201910471264A CN 110189806 A CN110189806 A CN 110189806A
- Authority
- CN
- China
- Prior art keywords
- data
- health
- patient
- local server
- module
- 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
- 230000036541 health Effects 0.000 title claims abstract description 138
- 238000013500 data storage Methods 0.000 title claims abstract description 21
- 238000003745 diagnosis Methods 0.000 title claims abstract description 17
- 238000004458 analytical method Methods 0.000 claims abstract description 10
- 230000010354 integration Effects 0.000 claims description 19
- 238000004364 calculation method Methods 0.000 claims description 18
- 238000001514 detection method Methods 0.000 claims description 13
- 238000012544 monitoring process Methods 0.000 claims description 10
- 230000007812 deficiency Effects 0.000 claims description 7
- 238000002059 diagnostic imaging Methods 0.000 claims description 7
- 238000007405 data analysis Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 5
- 238000012545 processing Methods 0.000 claims description 5
- 238000007726 management method Methods 0.000 abstract description 2
- 239000003814 drug Substances 0.000 description 9
- 229940079593 drug Drugs 0.000 description 6
- 238000000034 method Methods 0.000 description 4
- 241001269238 Data Species 0.000 description 3
- 230000036772 blood pressure Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005194 fractionation Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000005713 exacerbation Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/51—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/5866—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, manually generated location and time information
-
- 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
-
- 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
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Databases & Information Systems (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Library & Information Science (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Software Systems (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The present invention relates to technical field of information storage, in particular to a kind of medical diagnosis and treat health data storage system, including local server, Cloud Server and health information acquisition terminal, the health information acquisition terminal is for acquiring patient health data, the local server is connect with health information acquisition terminal telecommunication, the local server is for setting life cycle, and the patient identification information's data and patient health data in life cycle are obtained by health information acquisition terminal, and patient identification information's data and patient health data are subjected to analysis and arrangement storage;The local server is stored for the data of spilling to be transferred to Cloud Server.The present invention periodically can carry out storage management to patient health data.
Description
Technical field
The present invention relates to technical field of information storage, in particular to a kind of medical diagnosis and treat health data storage system.
Background technique
Existing community medicine health information system only has simple individual health data to exchange, and can not obtain patient in real time
Monitoring data, doctor can only carry out the subjective analysis state of an illness by one-side uncertain data, increase strong to conditions of patients
The conclusions such as health judge error.And being continuously increased with all kinds of medical imaging devices of hospital, the data volume of medical image
Can be increasing, data volume is bigger, if being stored in the conventional mode, storage mode is relatively simple, and single storage is empty
Between be not able to satisfy the storage speeds of data, easily lead to data spilling, cause loss of data, nor be conducive to the tune after storage
With access and use.
Summary of the invention
It, can be periodically to patient health present invention is primarily aimed at medical diagnosis and treat health data storage system is provided
Data carry out storage management.
In order to achieve the above objectives, the present invention provides medical diagnosis and treat health data storage systems, including local server, cloud
Server and health information acquisition terminal, the health information acquisition terminal is for acquiring patient health data, the local clothes
Business device is connect with health information acquisition terminal telecommunication, and the local server passes through health for setting life cycle
Information acquisition terminal obtains the patient identification information's data and patient health data in life cycle, and by patient identification information's number
Analysis and arrangement storage is carried out according to patient health data;The local server is used to the data of spilling being transferred to Cloud Server
It is stored.
The working principle of the invention and advantage are:
Periodically patient health data can be acquired in this programme, arrangement can be carried out after acquisition and is stored in local service
Device or Cloud Server analyze the patient health data after arrangement, the health data of the patient of analysis hospital accumulation,
Doctor can be made to be better understood by the health condition of patient, can the adverse health index to patient be monitored, in time change
Treatment plan or if necessary between remind patient to go to a doctor in time, conditions of patients can be avoided to add by way of being intervened ahead of time
It cannot be treated in time again to threat to life, so as to promote hospital clinical treatment intelligent.It can also be by the patient after arrangement
Health data is analyzed the relationship of certain class patient medication kind, dosage, the course for the treatment of and administration time, is obtained by utilizing big data technology
Utility data on statistical significance out, and then can predict side effects of pharmaceutical drugs.Doctor can also be according to the data obtained, really
Best medicine variety, dosage, the course for the treatment of and the administration time of patient are determined, to carry out intelligent medication guide.
Further, local server further includes data analysis and arrangement module, and the data analysis and arrangement module will be for that will suffer from
Person's health data carries out arrangement arrangement by setting rule, is also used to obtain the health indicator data of normal person, and by health indicator
Data are compared and analyzed with patient health data, and contrast difference's result is labeled.
The health data of patient may include case history, prescription, physical examination data, clinical information etc., these data are only received
Collection is calling access just inconvenient without being arranged, and patient health data are carried out arrangement arrangement by setting rule
Later, the efficiency that access can be improved compares and analyzes health indicator data and patient health data and then by contrast differences
After different result is labeled, data emphasis is caught convenient for doctor, improves the efficiency of access.
Further, local server further includes data encryption module, and the data encryption module is for generating data fractionation
Mould, and split mould according to data and the patient health data after mark are split into several data blocks, and be saved in local server
In.
Patient health data, which split according to data fractionation mould, forms data block, i.e., encrypts to patient health data
Processing, if need to check, initial data just must split mould according to data and be combined data block, therefore ensure that data block again
Safety after being stored.
Further, local server includes encrypted template feed generation module, and the encrypted template feed generation module is used
Mould is split in generating dynamic data.
Fixed and single data split mould, are easy to be leaked, and after data are split mould progress dynamic generation, data are split
Mould is not easy to be leaked, and improves the safety of storing data.
Further, local server further includes local server memory detection module, the local server memory detection
Module is used for the stored memory of real-time monitoring local server, when detecting stored memory deficiency, issues memory and overflows alarm.
The data volume stored in medical information system increases explosively, local server relative to magnanimity data and
Speech, and memory detection module is capable of the stored memory of real-time monitoring local server, when detecting stored memory deficiency, issues
Alarm notifies the timely Extended RAM space of administrative staff or transfer memory space, avoids being unable to storing data, and data is caused to be lost
It loses.
Further, local server further includes Cloud Server memory detection module, the Cloud Server memory detection module
For the stored memory of real-time monitoring Cloud Server, when detecting stored memory deficiency, issues memory and overflow alarm.
The data volume stored in medical information system increases explosively, and memory detection module being capable of real-time monitoring cloud service
The stored memory of device is sounded an alarm when detecting stored memory deficiency, and administrative staff is notified to expand bigger Cloud Server and deposit
Space is stored up, avoids being unable to storing data, and leads to loss of data.
Further, health information acquisition terminal includes medical wearable device and mobile intelligent terminal, and the medical treatment wearing is set
Standby wirelessly communicate with health information acquisition terminal connects, and the intelligent terminal and health information acquisition terminal wireless communication connect,
Patient health information is manually entered for patient.
Health and fitness information includes two kinds, and one is the health datas for obtaining patient automatically by medical wearable device, such as
Electrocardiogram tester, blood pressure, pulse test meter etc., another kind are that patient oneself is allowed to be manually entered, the collection of two kinds of health datas
Mode improves the collection efficiency of data, and applies a variety of occasions.
Further, mobile intelligent terminal includes smart phone, plate and laptop.
It is easy to use, it is easy to operate.
Further, further include with lower module,
Data processing module: for it is strong to generate patient to there are the patient health data of cross correlation to carry out listing arrangement
Health data integration data, are also used to obtain the medical imaging data of patient, and the medical imaging data of patient are good for according to patient
The identical arrangement mode of health data integration data carries out the corresponding arrangement in position, generates medical image integration data, and patient is good for
Health data integration data and medical image integration data, which format, generates identical data format, and it is raw to carry out overlapping combinations
At integrated data;
Data disassemble module: for according to patient health 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 memory 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 diagnosis and treat health data storage system embodiment one of the present invention;
Fig. 2 is the logic diagram of medical diagnosis and treat health data storage system embodiment two of the present invention.
Specific embodiment
It is further described below by specific embodiment:
Embodiment one:
Medical diagnosis and treat health data storage system, as shown in Figure 1, including local server, Cloud Server and health and fitness information
Acquisition terminal, the health information acquisition terminal for acquiring patient health data, adopt with health and fitness information by the local server
Collect terminal remote communication connection, the local server is obtained for setting life cycle, and by health information acquisition terminal
Patient identification information's data and patient health data in life cycle, and by patient identification information's data and patient health data
Carry out analysis and arrangement storage;The local server is stored for the data of spilling to be transferred to Cloud Server.
Health information acquisition terminal includes medical wearable device and mobile intelligent terminal, the medical treatment wearable device and health
Information acquisition terminal wireless telecommunications connection, the intelligent terminal are connect with health information acquisition terminal wireless telecommunications, are used for patient
It is manually entered patient health information.Mobile intelligent terminal includes smart phone, plate and laptop, and the present embodiment is preferably
Smart phone.
Server comprises the following modules:
Communication module: for telecommunication connection health information acquisition terminal and Cloud Server.
Data analysis and arrangement module, the data analysis and arrangement module are used to carry out patient health data by setting rule
Arrangement arranges, and is also used to obtain the health indicator data of normal person, and health indicator data and patient health data are carried out pair
Than analysis, and contrast difference's result is labeled.
Data encryption module: mould is split for generating data, and splits mould for the patient health number after mark according to data
According to splitting into several data blocks, and it is saved in local server.
Encrypted template feed generation module: mould is split for generating dynamic data.
Local server memory detection module: for the stored memory of real-time monitoring local server, storage is being detected
When low memory, issues memory and overflow alarm.
Cloud Server memory detection module: for the stored memory of real-time monitoring Cloud Server, stored memory is being detected
When insufficient, issue memory and overflow alarm.
Specific implementation process is as follows:
Periodically patient health data can be acquired in this programme, finishing analysis can be carried out after acquisition and there are local clothes
Business device or Cloud Server.
The health data of patient may include case history, prescription, physical examination data, clinical information etc., these data are only received
Collection is calling access just inconvenient without being arranged, and patient health data are carried out arrangement arrangement by setting rule
Later, the efficiency that access can be improved compares and analyzes health indicator data and patient health data and then by contrast differences
After different result is labeled, data emphasis is caught convenient for doctor, improves the efficiency of access.
Patient health data after arrangement are analyzed, the patient health data after arrangement are analyzed, analysis doctor
The health data of the patient of institute's accumulation, can make doctor be better understood by the health condition of patient, can bear to patient
Face health indicator is monitored, in time change treatment plan or if necessary between remind patient go to a doctor in time, can by ahead of time into
The mode that row is intervened avoids conditions of patients exacerbation that from cannot treating in time to threat to life, so as to promote hospital clinical to control
It treats intelligent.Patient health data after arrangement can also be analyzed, certain class patient is analyzed from the prescription in collection period
Medicine variety, dosage, the course for the treatment of and administration time relationship, obtain the utility data on statistical significance, and then can predict medicine
The side effect of object.Doctor can be allowed also according to the data obtained, to determine best medicine variety, dosage, the course for the treatment of and the medication of patient
Time, to carry out intelligent medication guide.
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 patient health 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 patient health 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, patient health data can be encrypted, patient health data split mould according to patient health data
Split and form data block, initial data just must split mould according to patient health data and data block is carried out group if need to check
It closes, obtains being messy code after one of data block is opened or not opening at all, therefore after ensure that data block is stored again
Safety.It since fixed and single patient health data split mould, is easy to be leaked, patient health data is split into mould and are carried out
After dynamic generation, patient health data split mould and are not easy to be leaked, and improve the safety of storing data.
The data volume stored in medical information system increases explosively, and memory detection module locally takes for real-time monitoring
The stored memory of business device and Cloud Server is sounded an alarm when detecting stored memory deficiency, and it is bigger to notify that administrative staff expand
Server storage or transfer memory space, avoid being unable to storing data, and lead to loss of data.
Embodiment two:
Embodiment two and embodiment one the difference is that: as shown in Fig. 2, data encryption processing further include with lower module,
Data processing module: for it is strong to generate patient to there are the patient health data of cross correlation to carry out listing arrangement
Health data integration data, are also used to obtain the medical imaging data of patient, and the medical imaging data of patient are good for according to patient
The identical arrangement mode of health data integration data carries out the corresponding arrangement in position, generates medical image integration data, and patient is good for
Health data integration data and medical image integration data, which format, generates identical data format, and it is raw to carry out overlapping combinations
At integrated data;
Data disassemble module: for according to patient health 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 memory 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:
Name number blood pressure palmic rate
3 20144432 99/77mmHg 78/min of Liu
20144452 161/95mmHg 80/min of Li Si
7 20144472 122/86mmHg 76/min of king
6 20144492 144/78mmHg 88/min of Tang
Medical image integration data are then successively arranged according to CT images photo.It is split further according to patient health 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, blood pressure, palmic rate etc..Example: using name as keyword key, hash function is used
Obtain address of the cryptographic Hash of key as data block storage where the key.Then the data block is stored to the address.If should
Address has had data (that is: different key has obtained identical cryptographic Hash), then scans empty storage unit and calculate again newly
Cryptographic Hash, and so on.When lookup, input will inquire the key value of data, and example: Liu three.Program will calculate Liu's key three
Cryptographic Hash will obtain the data block A of address further according to cryptographic Hash.Since the cryptographic Hash of data block A can be given to by dislocation
Data block B where king seven, Tang six, and the header as data block B, therefore when obtaining the data block A comprising Liu three, just
The data block B that can be quickly found out where king seven, Tang six.And so on, all data blocks constitute the data block chain of head and the tail connection,
As long as finding one of them, all data blocks can be found, all data blocks are summarized, further according to patient health 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.
Since population base is huge, so that the patient health data generated are also very huge, data volume is bigger, if according to biography
The mode of system is stored, and storage mode is relatively simple, the calling access being unfavorable for after storage, and in the present solution, can incite somebody to action
The patient data of different zones, Different hospital, different time is collected from patient health data, then strong from patient data and patient
There are the associated datas of cross correlation for retrieval in health data, and are stored.Setting can may be used also when calling data in this way
To obtain the data being attached thereto, quick judgement can be made to the similar state of an illness, avoid and searched from server,
The allocating time for saving related data improves access speed.
Patient health data are split into different order, different size, the data block of different names, in no patient health
Data split mould, more difficult to be combined data block to obtain original patient health data, improve the peace of storing data
Quan Xing.
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 diagnosis and treat health data storage system, it is characterised in that: adopted including local server, Cloud Server and health and fitness information
Collect terminal, the health information acquisition terminal is acquired for acquiring patient health data, the local server and health and fitness information
Terminal remote communication connection, the local server are obtained by health information acquisition terminal and are given birth to for setting life cycle
Order the patient identification information's data and patient health data in the period, and by patient identification information's data and patient health data into
The storage of row analysis and arrangement;The local server is stored for the data of spilling to be transferred to Cloud Server.
2. medical diagnosis and treat health data storage system according to claim 1, it is characterised in that: the local server is also
Including data analysis and arrangement module, the data analysis and arrangement module is used to arrange patient health data by setting rule
It arranges, is also used to obtain the health indicator data of normal person, and health indicator data and patient health data are compared point
Analysis, and contrast difference's result is labeled.
3. medical diagnosis and treat health data storage system according to claim 2, it is characterised in that: the local server is also
Including data encryption module, the data encryption module splits mould for generating data, and splitting mould according to data will be after mark
Patient health data split into several data blocks, and be saved in local server.
4. medical diagnosis and treat health data storage system according to claim 3, it is characterised in that: the local server is also
Including encrypted template feed generation module, the encrypted template feed generation module splits mould for generating dynamic data.
5. medical diagnosis and treat health data storage system according to claim 1, it is characterised in that: the local server is also
Including local server memory detection module, the local server memory detection module is for real-time monitoring local server
Stored memory issues memory and overflows alarm when detecting stored memory deficiency.
6. medical diagnosis and treat health data storage system according to claim 1, it is characterised in that: the local server is also
Including Cloud Server memory detection module, the Cloud Server memory detection module is in the storage of real-time monitoring Cloud Server
It deposits, when detecting stored memory deficiency, issues memory and overflow alarm.
7. medical diagnosis and treat health data storage system according to claim 1, it is characterised in that: the health and fitness information acquisition
Terminal includes medical wearable device and mobile intelligent terminal, and the medical treatment wearable device and health information acquisition terminal wirelessly communicate
Connection, the intelligent terminal and health information acquisition terminal wireless communication connect, and are manually entered patient health information for patient.
8. medical diagnosis and treat health data storage system according to claim 1, it is characterised in that: the mobile intelligent terminal
Including smart phone, plate and laptop.
9. patient health data-storage system according to claim 3, it is characterised in that: further include with lower module,
Data processing module: for generating patient health number to there are the patient health data of cross correlation to carry out listing arrangement
According to integration data, be also used to obtain the medical imaging data of patient, by the medical imaging data of patient according to patient health number
According to the identical arrangement mode of integration data, the corresponding arrangement in position is carried out, generates medical image integration data, and by patient health number
It is formatted according to integration data and medical image integration data and generates identical data format, and it is comprehensive to carry out overlapping combinations generation
Close data;
Data disassemble module: for splitting mould according to patient health 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 memory 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. patient health 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 |
---|---|---|---|
CN201910471264.8A CN110189806A (en) | 2019-05-31 | 2019-05-31 | Medical diagnosis and treat health data storage system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910471264.8A CN110189806A (en) | 2019-05-31 | 2019-05-31 | Medical diagnosis and treat health data storage system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110189806A true CN110189806A (en) | 2019-08-30 |
Family
ID=67719520
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910471264.8A Pending CN110189806A (en) | 2019-05-31 | 2019-05-31 | Medical diagnosis and treat health data storage system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110189806A (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111083175A (en) * | 2020-02-03 | 2020-04-28 | 贵州精准健康数据有限公司 | Fortress cloud storage and transmission method and application system |
CN112233816A (en) * | 2020-10-27 | 2021-01-15 | 贵州精准医疗电子有限公司 | Health monitoring method, device and computer readable medium |
CN112671752A (en) * | 2020-12-18 | 2021-04-16 | 韩琳 | Wound information acquisition and sharing system based on cloud management |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102509010A (en) * | 2011-11-02 | 2012-06-20 | 北京盛世德康科技发展有限公司 | Remote medical detection system |
CN105610803A (en) * | 2015-12-23 | 2016-05-25 | 浙江工业大学 | Method for protecting privacy of cloud computed big data |
CN106407681A (en) * | 2016-09-19 | 2017-02-15 | 南京工业大学 | Cloud system environment personal health record storage access method |
CN106815336A (en) * | 2016-12-31 | 2017-06-09 | 深圳市易特科信息技术有限公司 | Medical data inquiry system and method based on big data associated storage |
CN107038341A (en) * | 2017-04-10 | 2017-08-11 | 武汉康慧然信息技术咨询有限公司 | Family health care data managing method and system |
-
2019
- 2019-05-31 CN CN201910471264.8A patent/CN110189806A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102509010A (en) * | 2011-11-02 | 2012-06-20 | 北京盛世德康科技发展有限公司 | Remote medical detection system |
CN105610803A (en) * | 2015-12-23 | 2016-05-25 | 浙江工业大学 | Method for protecting privacy of cloud computed big data |
CN106407681A (en) * | 2016-09-19 | 2017-02-15 | 南京工业大学 | Cloud system environment personal health record storage access method |
CN106815336A (en) * | 2016-12-31 | 2017-06-09 | 深圳市易特科信息技术有限公司 | Medical data inquiry system and method based on big data associated storage |
CN107038341A (en) * | 2017-04-10 | 2017-08-11 | 武汉康慧然信息技术咨询有限公司 | Family health care data managing method and system |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111083175A (en) * | 2020-02-03 | 2020-04-28 | 贵州精准健康数据有限公司 | Fortress cloud storage and transmission method and application system |
CN112233816A (en) * | 2020-10-27 | 2021-01-15 | 贵州精准医疗电子有限公司 | Health monitoring method, device and computer readable medium |
CN112671752A (en) * | 2020-12-18 | 2021-04-16 | 韩琳 | Wound information acquisition and sharing system based on cloud management |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Yin et al. | A health decision support system for disease diagnosis based on wearable medical sensors and machine learning ensembles | |
CN110189806A (en) | Medical diagnosis and treat health data storage system | |
CN106980771A (en) | A kind of system gathered for acute coronary syndrome case information | |
CN104200120A (en) | System and method for health status monitoring based on traditional Chinese medicine diagnosis information | |
CN107220516B (en) | Hospital resources Optimizing Configuration System | |
Akrivopoulos et al. | Design and evaluation of a person-centric heart monitoring system over fog computing infrastructure | |
Akrivopoulos et al. | Utilising fog computing for developing a person-centric heart monitoring system | |
KR20160125543A (en) | User-oriented healthcare big data service method, computer program and system | |
KR20160125544A (en) | User-oriented healthcare big data service method, computer program and system | |
WO2017157033A1 (en) | Smart ward information center system | |
CN110188240A (en) | Medical imaging data-storage system | |
CN107451391A (en) | A kind of network medical history information storage circulation method and system | |
CN116130119A (en) | Breast cancer postoperative rehabilitation auxiliary management system | |
CN114974590A (en) | Multi-dimensional monitoring critical patient prediction nursing method and system | |
CN111370118A (en) | Diagnosis and treatment safety analysis method and device for cross-medical institution and computer equipment | |
CN206301336U (en) | A kind of _ based Patient Records Management Systems for wisdom endowment | |
CN107887017A (en) | A kind of remote diagnosis system based on smart card | |
Misra et al. | i-avr: Iot-based ambulatory vitals monitoring and recommender system | |
JP2009169700A (en) | Disease onset identification system secure at cohort tracking | |
Sonal et al. | Swasth: an intelligent decision support diagnostic engine for congenital heart diseases | |
CN113409926A (en) | Intelligent follow-up system | |
CN106951698A (en) | A kind of disease risks forecasting system based on network big data platform | |
CN108337626A (en) | A kind of sign information collecting method and system based on Internet of Things | |
Pathinarupothi et al. | Raspro: rapid summarization for effective prognosis in wireless remote health monitoring | |
CN206602549U (en) | A kind of patient medical quality evaluation system based on big data |
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 |