Smart healthcare for smart cities

Abstract

The proposed goals of smart cities are to improve the quality the life of citizens by improving urban infrastructure, foster innovation and enhance the healthcare system offered to their citizens. This paper presents a literature review about the use of Big Data Analytics and BDA-related technologies in order to provide highly efficient medical and health services to patients living in smart cities. A lot of tools in Big Data Analytics involve data mining; thus, we are proposing a simple way of collecting medical and health-related data from patients using a series of sensors and a cloud-based method of mining, transmitting, and analysing data using a (hypothetical) machine learning system. As a conclusion, we may say that health services in smart cities and the use of big data mining for improving medical decision support, among other aspects of health and medical care services are (almost) purely theoretical concepts at this point. These services definitely look good on paper, but there is yet to be a truly successful model that has been tried in real-life clinical practice that has, at the same time, been unanimously considered as successful.