Population health management demands for complete patient care with cost-effective medication processes, thereby requiring integration of clinical and claims data on the same platform for data analysis. Surge in the demand for improvement in care management, prediction of early illness factors, and hospitalization process is anticipated to fuel the growth of the global big data analytics in healthcare market in the future. Moreover, citizen health is of prime importance for healthcare administration in the healthcare industry, which in turn requires predictive analysis of population health and is expected to augment the implementation of big data analytics during the forecast period. Big data analytics in healthcare is the complex process of examining big data to discover information including hidden patterns, market trends, unknown correlations, and customer preferences, which can help organizations to make informed clinical and business decisions.
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