Title of article :
A Simple Framework of Smart Geriatric Nursing considering Health Big Data and User Profile
Author/Authors :
Li, Shijie Department of Critical Care Medicine - The First Affiliated Hospital of Chongqing Medical University - Chongqing, China , Tang, Yongchuan School of Big Data and Software Engineering - Chongqing University - Chongqing, China
Abstract :
The National Bureau of Statistics of China shows that the population over 65 years old in China exceeds 166 million accounting for
11.93% of the total population by the end of 2018. The importance and severity of taking care of the elderly are becoming
increasingly prominent. High-quality and meticulous care for the daily life of the elderly needs helpful and advanced sciences
and technologies. Smart geriatric nursing is a must. Basing on the professional knowledge of geriatric nursing, this paper
proposes a framework of smart geriatric nursing which consists of three aspects of smart nursing: smart geriatric nursing in
physical health using biosensor and advanced devices, smart geriatric nursing in mental health based on user profile, and smart
geriatric nursing for daily life based on big data in health. The deployment of the proposed method relies on the technologies of
the Internet of Things (IoT), user profile system, big data, and many other advanced information technologies. The framework
of methods can provide a useful reference for the systematic technical scheme of smart geriatric nursing in an aging society.
Keywords :
China , IoT , RFID , GDS
Journal title :
Computational and Mathematical Methods in Medicine