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Abstract
the rapidly expanding field of big data analytics has started to play a pivotal role in the evolution of healthcare practices and research. It has provided tools to accumulate, manage, analyze and assimilate large volumes of disparate, structured and unstructured data produced by current healthcare systems. Big data analytics has been recently applied towards aiding the process of care delivery and disease exploration. However, the adoption rate and research development in this space is still hindered by some fundamental problems inherent within the big data paradigm. In this paper, we discuss some of these major challenges with a focus on upcoming and promising areas of medical research; image, signal and genomics based analytics. Recent research which targets utilization of large volumes of medical data while combining multi modal data from disparate sources are discussed. Potential areas of research within this field which have ability to provide meaningful impact on healthcare delivery are also examined.