Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Medical and old-age care information big data analysis method and management system

An analysis method and big data technology, applied in the field of intelligent management systems, can solve the problems of low accuracy, low efficiency, and low accuracy of analysis results, etc., and achieve reliable solutions, improve medical care efficiency, and reduce work difficulties.

Inactive Publication Date: 2017-06-13
CHENGDU MEDICAL COLLEGE +1
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Traditional small-scale data analysis methods for data processing and analysis; this analysis method is inefficient, the accuracy of the analysis results is low, and there are certain risks in the analysis of medical data; the results of predictive analysis are low in accuracy; it is impossible to mine and predict the health of the elderly The value of data, trends and trends of service providers and business data

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Medical and old-age care information big data analysis method and management system
  • Medical and old-age care information big data analysis method and management system
  • Medical and old-age care information big data analysis method and management system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further elaborated below in conjunction with the accompanying drawings.

[0034] In embodiment one, see figure 1 As shown, the present invention proposes a big data analysis method of medical care information, which collects the vital sign data of the elderly through the vital sign measuring instrument, and transmits the vital sign data to the medical care platform server; Data analysis, after analysis, the collected vital sign data is classified, pushed and stored.

[0035] Wherein, the big data analysis method includes steps S01-S03.

[0036] S01, combining the collected vital sign data with the archival data in the server database of the medical care platform for modeling to obtain a data model; analyzing the data in the data model according to big data mining analysis and prediction algorithms, and analyzing the analyzed data Data cleanin...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a medical and old-age care information big data analysis method and management system; vital sign data of old people are acquired through a vital sign measurer and are transmitted to a medical and old-age care platform server; big data analysis is carried out in the medical and old-age care platform server, and the acquired vital sign data are classified and stored. The value of old-age health data and the tendency of service providers and business data can be mined and predicted; data acquisition is achieved through internet-of-things technology, data acquisition is easier for medical staff, and medical and old-age care efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent management systems, and in particular relates to a big data analysis method and management system for medical care information. Background technique [0002] Existing analysis of medical care data is mostly used. According to predictions from relevant institutions, the elderly population in the world will reach 2.02 billion in 2035, of which China's elderly population will reach 480 million, accounting for almost a quarter of the global elderly population. most populous country. From 2014 to 2035, the consumption potential of China's elderly population will increase from about 4 trillion yuan to about 106 trillion yuan, and the proportion of GDP will increase from about 8% to about 33%. my country will become the country with the greatest market potential for the aging industry in the world. [0003] Traditional small-scale data analysis methods for data processing and analysis; this analysi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16H10/60G16H50/30G16H50/70
Inventor 余小平任伟王强吕军
Owner CHENGDU MEDICAL COLLEGE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products