CN106846207A - Doctor supports combining information service and early warning platform and control method - Google Patents
Doctor supports combining information service and early warning platform and control method Download PDFInfo
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- CN106846207A CN106846207A CN201710043006.0A CN201710043006A CN106846207A CN 106846207 A CN106846207 A CN 106846207A CN 201710043006 A CN201710043006 A CN 201710043006A CN 106846207 A CN106846207 A CN 106846207A
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Abstract
The present invention discloses doctor and supports combining information service and early warning platform and control method, including sets up old man's essential information and be bundled in health card；Obtain personal information and gathered data；Server is transferred data to by data integration gateway and reception data, parsing data and data cleansing is carried out successively；With HL7 agreements by data system standardization, and by the data transfer after standardization to database；Data in server reading database, by big data analysis, data modeling and big data forecast analysis algorithm process data, finally give prediction curve figure and the health data report of aged health data；Prediction curve figure and the health data report of aged health data are sent to service terminal and mobile client by data integration gateway.The present invention can solve the problem that the data interchange of the mechanisms such as hospital, geriatric nursing home and individual, mutually enjoy and interconnect, and data reach standardization, and can carry out early warning analysis according to the condition of old man.
Description
Technical field
The invention belongs to intelligent Service Platform technical field, more particularly to cure support combining information service and early warning platform and
Control method.
Background technology
Predicted according to associated mechanisms, whole world elderly population are up to 20.2 hundred million within 2035, and wherein Aged in China population will
4.8 hundred million are reached, a quarter of global elderly population is almost accounted for, is the most country of elderly population in the world.With global people
Mouthful Aging Problem, is both social development problem that government needs to face, is also the quality of life problem for concerning huge numbers of families.And
It is the most basic and most urgent reality need of aging populations to be looked after properly in the old age and provide elderly with proper medical treatment.
Although to have been occurred in that above existing market and support the product for combining on doctor, function is all relatively single, each
Cure the equipment of supporting to be only capable of solving single function, it is impossible to effective to integrate and formed unified management the foster related resource of doctor,
Without formed doctor support be combined with integration with standardized prompting so that cannot alleviation endowment livelihood issues；And existing doctor
Foster combination product cannot effectively realize aged health status early warning, and the state of an illness to old man causes to delay.
The content of the invention
In order to solve the above problems, the present invention proposes doctor and supports combining information service and early warning platform and control method, energy
The data interchanges of mechanism such as hospital, geriatric nursing home and individual are enough solved, are mutually enjoyed and is interconnected, data reach unitized and standardize,
So as to alleviate endowment livelihood issues；And early warning analysis can be carried out according to the condition of old man.
To reach above-mentioned purpose, the technical solution adopted by the present invention is：
Doctor supports the control method of combining information service and early warning platform, including step：
S01, sets up old man's essential information and is bundled in health card；
S02, personal information data are obtained by aged health card, using health measurement instrument and healthy equipment collection body
Data；
, be transferred on server for personal information data and body data by data integration gateway, in server end by S03
Reception data, parsing data and data cleansing are carried out successively；
S04, the data after cleaning are united standardization data with HL7 agreements, and by the data transfer after standardization to data
In storehouse；
S05, the data in server reading database, by big data analysis, data modeling and big data forecast analysis
The data that algorithm process reads, finally give prediction curve figure and the health data report of aged health data；
S06, clothes are sent to by prediction curve figure and the health data report of aged health data by data integration gateway
Business terminal and mobile client.
It is further, the prediction curve figure and healthy number of old man or children in service terminal printing aged health data
It was reported that, or prediction curve figure and the health data report that aged health data are checked in mobile client；Be easy to old man or
Its family members checks the health status of old man at any time.
It is further that received server-side data include both of which：Obtained in real time by UDP multicast transmissions
Data, the pattern is directed to real-time Transmission；Archived data are transmitted by way of file, the pattern is directed to delay transport；
Real-time and delay transport can be completed.
Be further, server end parse data procedures according to the business interface agreement of standard carry out data decryption and
Tear frame operation open；Make data more safe and reliable.
It is further that the data cleansing process includes step：Data prediction；Removal or completion have the number of missing
According to；The removal vicious data of content；Remove the data of logic error；Remove unwanted data；Data correlation is carried out to test
Card.
It is further to include step by big data analysis, data modeling and big data forecast analysis algorithm process data
Suddenly：
Infobright is stored using the column of MySQL, batch processing is carried out to data；
Association Rule Analysis, decision tree, neutral net, K- are included using data modeling and big data forecast analysis algorithm
MEANS clusters, SVMs, multiple linear regression, generalized linear regression, Bayesian network, Cox algorithms or k nearest neighbor algorithm,
Carry out data modeling and forecast analysis；
The final curve map that prediction is calculated according to data modeling and forecast analysis, obtains health data report.
On the other hand, combining information service and early warning platform, including acquisition system, data set are supported present invention also offers doctor
Into gateway, Platform Server, platform resource database, service terminal and mobile client；
The acquisition system, obtains personal information data, and using health measurement instrument and be good for by by brush health card
Health equipment gathers body data；
The data integration gateway, realizes communication function, and the personal information data and body data of acquisition system are transmitted
To in Platform Server；And the result that will be calculated in Platform Server is respectively sent to service terminal and mobile client；
The Platform Server, for calculating processing data, and by the data is activation after treatment to data integration gateway and
It is stored in platform resource database；
The platform resource database, for storing data；
The service terminal and mobile client, the result of calculation of Platform Server is transferred by data integration gateway, is made
User obtains prediction curve figure and the health data report of aged health data.
Using the beneficial effect of the technical program：
Platform of the invention provides integrative solution to aged health management, easily alleviates the difficult management of endowment and asks
Topic；The control method of whole platform is formed into standard and all of resource of integrating peripheral, integration, standardization and serviceization is reached
Pattern；
Platform of the invention can share hospital, geriatric nursing home and aged health data cloud, realize data sharing, data
Synchronous sum factually when obtain；Enable geriatric nursing home real time review diagnosis records, medical institutions can in real time obtain healthy inspection
Come to an end fruit, and carries out old man's emergency situations both sides warning reminding simultaneously, and instant alerts old man family members, can be according to old man's
Condition carries out early warning analysis.
Brief description of the drawings
Fig. 1 is the schematic flow sheet that doctor of the invention supports combining information service and early warning platform courses method；
Fig. 2 is the structural representation that doctor of the invention supports combining information service and early warning platform.
Specific embodiment
In order that the object, technical solutions and advantages of the present invention are clearer, the present invention is made into one below in conjunction with the accompanying drawings
Step is illustrated.
In the present embodiment, shown in Figure 1, the present invention proposes the control that doctor supports combining information service and early warning platform
Method, including step：
S01, sets up old man's essential information and is bundled in health card.
S02, personal information data are obtained by aged health card, using health measurement instrument and healthy equipment collection body
Data.
, be transferred on server for personal information data and body data by data integration gateway, in server end by S03
Reception data, parsing data and data cleansing are carried out successively.
Received server-side data include both of which：The data obtained in real time by UDP multicast transmissions, the pattern
For real-time Transmission；Archived data are transmitted by way of file, the pattern is directed to delay transport；Can complete in real time
And delay transport.
Server end parses data procedures and carries out the decryption of data according to the business interface agreement of standard and tear frame operation open；Make
Data are more safe and reliable.
The data cleansing process includes step：Data prediction；Removal or completion have the data of missing；Have in removal
The data of mistake；Remove the data of logic error；Remove unwanted data；Carry out data correlation checking.
(1) pretreatment stage：Data are checked, all describe data including field explanation, data source and code table etc.
Information；Take Sampling Modes to extract a part of data, using manually mode is checked, there is one to get information about in itself to data,
And some problems are tentatively found, the treatment after being is prepared；
(2) removal or completion has the data of missing：The scope of missing is determined to each data field, crucial data are lacked
The data of field are directly given up, and non-key data are filled perfect, remove unwanted field information；
(3) the vicious data of content are removed：The vicious data of data content are given up, it is ensured that data it is correct
Property；
(4) data of logic error are removed：The data of logic error are given up according to business rule, it is ensured that data
Correctness；
(5) unwanted data are removed：The unrelated data of business are given up according to business rule, it is ensured that the phase of data
Guan Xing；
(6) relevance checking：Because data have multiple data sources, being associated property of the data checking to each fulcrum；
Such as：Although there is the healthy life sign data of collection, case of not filed to the old man, then the gathered data there is no relevance,
Directly given up.
S04, the data after cleaning are united standardization data with HL7 agreements, and by the data transfer after standardization to data
In storehouse.
The script based on HL7 agreements is write in the server；When server receives data, data are according to script
Generate the standardized data of codes and standards.
S05, the data in server reading database, by big data analysis, data modeling and big data forecast analysis
The data that algorithm process reads, finally give prediction curve figure and the health data report of aged health data.
Analyzed by big data, data modeling and big data forecast analysis algorithm process data include step：
Infobright is stored using the column of MySQL, batch processing is carried out to data；
Association Rule Analysis, decision tree, neutral net, K- are included using data modeling and big data forecast analysis algorithm
MEANS clusters, SVMs, multiple linear regression, generalized linear regression, Bayesian network, Cox algorithms or k nearest neighbor algorithm,
Carry out data modeling and forecast analysis；
The final curve map that prediction is calculated according to data modeling and forecast analysis, obtains health data report.
S06, clothes are sent to by prediction curve figure and the health data report of aged health data by data integration gateway
Business terminal and mobile client.
The prediction curve figure and health data report of old man or children in service terminal printing aged health data, or
Prediction curve figure and the health data report of aged health data are checked in mobile client；It is easy to old man or its family members to look at any time
See the health status of old man.
To coordinate the realization of the inventive method, based on identical inventive concept, as shown in Fig. 2 present invention also offers this
Invention additionally provides doctor and supports combining information service and early warning platform, including acquisition system, data integration gateway, Platform Server,
Platform resource database, service terminal and mobile client；
The acquisition system, obtains personal information data, and using health measurement instrument and be good for by by brush health card
Health equipment gathers body data；
The data integration gateway, realizes communication function, and the personal information data and body data of acquisition system are transmitted
To in Platform Server；And the result that will be calculated in Platform Server is respectively sent to service terminal and mobile client；
The Platform Server, for calculating processing data, and by the data is activation after treatment to data integration gateway and
It is stored in platform resource database；
The platform resource database, for storing data；
The service terminal and mobile client, the result of calculation of Platform Server is transferred by data integration gateway, is made
User obtains prediction curve figure and the health data report of aged health data.
General principle of the invention and principal character and advantages of the present invention has been shown and described above.The technology of the industry
Personnel it should be appreciated that the present invention is not limited to the above embodiments, simply explanation described in above-described embodiment and specification this
The principle of invention, without departing from the spirit and scope of the present invention, various changes and modifications of the present invention are possible, these changes
Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appending claims and its
Equivalent thereof.
Claims (7)
1. the control method for supporting combining information service and early warning platform is cured, it is characterised in that including step：
S01, sets up old man's essential information and is bundled in health card；
S02, personal information data are obtained by aged health card, using health measurement instrument and healthy equipment collection body number
According to；
, be transferred on server for personal information data and body data by data integration gateway, by S03 in server end successively
Carry out reception data, parsing data and data cleansing；
S04, by the data after cleaning with HL7 agreements by data system standardization, and by the data transfer after standardization to database；
S05, the data in server reading database, by big data analysis, data modeling and big data forecast analysis algorithm
The data for reading are processed, prediction curve figure and the health data report of aged health data is finally given；
S06, service is sent to eventually by prediction curve figure and the health data report of aged health data by data integration gateway
End and mobile client.
2. doctor according to claim 1 supports the control method of combining information service and early warning platform, it is characterised in that old man
Or prediction curve figure and health data report of the children in service terminal printing aged health data, or in mobile client
Check prediction curve figure and the health data report of aged health data.
3. doctor according to claim 1 supports the control method of combining information service and early warning platform, it is characterised in that service
Device end receives data includes both of which：The data obtained in real time by UDP multicast transmissions, the pattern is for biography in real time
It is defeated；Archived data are transmitted by way of file, the pattern is directed to delay transport.
4. doctor according to claim 3 supports the control method of combining information service and early warning platform, it is characterised in that service
Device end parses data procedures and carries out the decryption of data according to the business interface agreement of standard and tear frame operation open.
5. doctor according to claim 4 supports the control method of combining information service and early warning platform, it is characterised in that described
Data cleansing process includes step：Data prediction；Removal or completion have the data of missing；The removal vicious data of content；
Remove the data of logic error；Remove unwanted data；Carry out data correlation checking.
6. doctor according to claim 1 supports the control method of combining information service and early warning platform, it is characterised in that pass through
Big data analysis, data modeling and big data forecast analysis algorithm process data include step：
Infobright is stored using the column of MySQL, batch processing is carried out to data；
Association Rule Analysis, decision tree, neutral net, K-MEANS are included using data modeling and big data forecast analysis algorithm
Cluster, SVMs, multiple linear regression, generalized linear regression, Bayesian network, Cox algorithms or k nearest neighbor algorithm, are carried out
Data modeling and forecast analysis；
The final curve map that prediction is calculated according to data modeling and forecast analysis, obtains health data report.
7. cure and support combining information service and early warning platform, it is characterised in that including acquisition system, data integration gateway, platform clothes
Business device, platform resource database, service terminal and mobile client；
The acquisition system, obtains personal information data, and set using health measurement instrument and health by by brush health card
Standby collection body data；
The data integration gateway, realizes communication function, the personal information data and body data of acquisition system is sent to flat
In platform server；And the result that will be calculated in Platform Server is respectively sent to service terminal and mobile client；
The Platform Server, for calculating processing data, and by the data is activation after treatment to data integration gateway and storage
In platform resource database；
The platform resource database, for storing data；
The service terminal and mobile client, the result of calculation of Platform Server is transferred by data integration gateway, makes user
Obtain prediction curve figure and the health data report of aged health data.
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Cited By (8)
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| CN108549249A (en) * | 2018-05-24 | 2018-09-18 | 栾友祥 | A kind of intelligent domestic system based on big data |
| CN108597605A (en) * | 2018-03-19 | 2018-09-28 | 特斯联（北京）科技有限公司 | A kind of life big data acquisition of personal health and analysis system |
| CN108962396A (en) * | 2018-05-31 | 2018-12-07 | 潘云 | A kind of tumour resource tissue bank and its method for building up |
| CN111105041A (en) * | 2019-12-02 | 2020-05-05 | 成都四方伟业软件股份有限公司 | Machine learning method and device for intelligent data collision |
| CN112070225A (en) * | 2020-09-01 | 2020-12-11 | 多点(深圳)数字科技有限公司 | Entity card abnormal binding alarm method based on unsupervised learning |
| CN113012778A (en) * | 2021-03-22 | 2021-06-22 | 清檬养老服务有限公司 | Intelligent old-age-care big data credit analysis system and method |
| CN116307890A (en) * | 2023-03-17 | 2023-06-23 | 北京远盟普惠健康科技有限公司 | Health maintenance method and system based on big data |
| CN117912666A (en) * | 2024-03-19 | 2024-04-19 | 四川蓝海航科技有限公司 | Pension service system based on government cloud service |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108597605A (en) * | 2018-03-19 | 2018-09-28 | 特斯联（北京）科技有限公司 | A kind of life big data acquisition of personal health and analysis system |
| CN108549249A (en) * | 2018-05-24 | 2018-09-18 | 栾友祥 | A kind of intelligent domestic system based on big data |
| CN108962396A (en) * | 2018-05-31 | 2018-12-07 | 潘云 | A kind of tumour resource tissue bank and its method for building up |
| CN111105041A (en) * | 2019-12-02 | 2020-05-05 | 成都四方伟业软件股份有限公司 | Machine learning method and device for intelligent data collision |
| CN111105041B (en) * | 2019-12-02 | 2022-12-23 | 成都四方伟业软件股份有限公司 | Machine learning method and device for intelligent data collision |
| CN112070225A (en) * | 2020-09-01 | 2020-12-11 | 多点(深圳)数字科技有限公司 | Entity card abnormal binding alarm method based on unsupervised learning |
| CN112070225B (en) * | 2020-09-01 | 2023-10-10 | 多点(深圳)数字科技有限公司 | Entity card abnormal binding alarm method based on unsupervised learning |
| CN113012778A (en) * | 2021-03-22 | 2021-06-22 | 清檬养老服务有限公司 | Intelligent old-age-care big data credit analysis system and method |
| CN116307890A (en) * | 2023-03-17 | 2023-06-23 | 北京远盟普惠健康科技有限公司 | Health maintenance method and system based on big data |
| CN116307890B (en) * | 2023-03-17 | 2023-10-27 | 北京远盟普惠健康科技有限公司 | Health maintenance method and system based on big data |
| CN117912666A (en) * | 2024-03-19 | 2024-04-19 | 四川蓝海航科技有限公司 | Pension service system based on government cloud service |
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