Published Paper Details:

One of the greatest concerns in both developed and developing countries like India, is access to the primary health care information and maintenance of EHR (Electronic Health Records) and EMR (Electronic Medical Records). Though, the people living in cities have better access to high end health services, the millions of people residing in rural parts of the country are facing serious problems in accessing healthcare. Also the healthcare organizations have become data rich but information poor. Now-a-days, large amounts of heterogeneous medical data have become very common in most of the healthcare organizations. Further, it has become mandatory for the healthcare organizations to use Big Data analytics such as non-linear multivariate predictive analytic models to understand the better diagnoses, origin of diseases, health care fraud detection, provide personal health care and deliver high quality care with low cost to the patients by combing the emerging technologies like Hadoop Framework, Map Reduce and Spark for better data analytics. This paper addresses the difficulty in accessing primary health care, EMR & EHR, big data and its use cases in healthcare sector, also discusses how spark overcomes Hadoop for better analytics.