MEDIDRONE—A Predictive Analytics-Based Smart Healthcare System

Abstract

Health care is one of the constitutional rights of the people in India. Every resident of this country has the right to the highest attainable standard of health both physically and mentally. But, in India, the number of active Primary Health care Centers (PHCs) is very less in number, especially in the remote regions. Even in places where there are sufficient PHCs, there is a shortage of doctors, staffs, and medicine. Proper medication should be offered to people in rural areas in order to improve their health, thereby reducing the number of deaths. The trending technologies like Internet of Things (IoT), Artificial Intelligence (AI), and Predictive Analytics have a key role in improving the medication and in providing preventive medical care. Therefore, exploiting these technologies to diagnose and monitor patients remotely using Body Area Network (BAN) devices and smartphones, the MEDIDRONE is proposed. The MEDIDRONE has been designed to provide on-time emergency services to the people in rural villages using drones. In addition, predictive models have been trained to provide people with insights from the data collected for their long-term welfare. The MEDIDRONE besides providing health insights and alerts to the people, also addresses the issue of unemployment in rural areas. The MEDIDRONE intends to provide the task of periodically collecting the vital signs of the people in the village as a paid work to medical practitioners, social workers, and unemployed people which could improve the economic status of the country.