Developing a smart healthcare framework with an ‘Aboriginal lens’
Author(s) -
Feng Bao,
Peixin He,
Peng Li,
Haichang Yao,
Yimu Ji,
Jing He
Publication year - 2019
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2019.11.294
Subject(s) - computer science , mainstream , health care , promotion (chess) , big data , china , data science , smart phone , software , computer security , telecommunications , economic growth , data mining , economics , philosophy , theology , politics , political science , law , programming language
The concept of smart city seems to have received considerable attention shortly after its proposal. Nearly 200 projects in the world related to smart healthcare are in the implementation phase [1], and this number is gradually expanding. The smart healthcare is essential parts of creating a smart city, because anyone can go to the hospital for treatment. Especially in the case of a large population base and uneven medical conditions in China. So how to effectively allocate doctor-patient links, maximize the role of medical treatment and medical resources are major tasks. In this paper, we investigate the mobile phone software or hospital official network of smart healthcare in the current Chinese market, and analyze the main functions and shortcomings with the aboriginal lens. We try to use data aggregation screening and distribution technology to solve mainstream problems. Through data aggregation screening and distribution operations, we determine and implement health promotion strategies and approaches, which is also one of the frameworks under the Aboriginal lens. Not only that, but other factors in the framework will also be involved.
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