The data analytics and Hadoop applications are the most prominent elements in big data analytics to analyze the large volumes of data. The developing countries mainly concentrate on medical, economic, and emerging issues. This chapter focuses on the importance of big data management and Hadoop, as well as their influence on delivering medical services to everyone at the lowest feasible costs.
TopHealthcare In India
India ranks second in the world in terms of population. India's health-care system is being overburdened by the country's growing population. Among a wide number of individuals, economic scarcity leads to a weak approach to health care. GDP per capita are the most important indices of human growth. Longevity is linked to income and education and affects the status of one's wellbeing. The health-care sector's vulnerability can have a detrimental impact on longevity. India's Human Development Index (HDI) is low (115th) among world countries. The main reasons for India’s high disease burden are a lack of access to preventative and therapeutic health facilities White, T. (2010).
“Growth in national income by itself is not enough, if the gains do not manifest themselves in the form of more food, greater access to health, and education,” said Amartya Kumar Sen, an Indian economist & Nobel laureate Zulkernine, (2013).
In a lecture, Dr. MC Misra, the director of the All India Institute of Medical Sciences (AIIMS), said, “Advances in medical technology and modern medicines are indeed a blessing, but to operate in India, they must be value for money.” Also free services in public hospitals are out of reach for the majority of people.”
However, according to World Bank data, 99% of India's population cannot afford to pay for these facilities. As per the survey, out-of-pocket medical costs push 39 million individuals into poverty per year, with households dedicating about 5.8% of their income to medical care Yang Song. Alatorre, G. (2013).