However, the critical issue of data quality required for these models is not getting the attention it deserves. This Special Issue will host scientific discussions on the latest developments in the fields of Big Data Analytics in Healthcare. Healthcare data analytics help organizations uncover vital insights in their data that could help them identify opportunities to provide more value, efficacy and better-quality care at an affordable cost. Its potential is great; however there remain challenges to overcome. In the case of a multi-authored work, even if only one author is eligible for the discount or waiver, all authors of the work will benefit from the waiver or discount. Big Data Analytics is a multi-disciplinary open access, peer-reviewed journal, which welcomes cutting-edge articles describing original basic and applied work involving biologically-inspired computational accounts of all aspects of big data science analytics. The volume of data related to healthcare organizations has grown dramatically in past years and is expected to increase in coming years due to the use of innovative technologies [ 2 ]. Big data analytics encompasses the various analytical techniques such as descriptive analytics and mining/predictive analytics that are ideal for analyzing a large proportion of text-based health documents and otherunstructuredclinicaldata(e.g.,physician'swrittennotesandpre- scriptions and medical imaging) (Groves et al., 2013). With big data, big answers and meaningful analytics … It covers a wide range of fields including statistics, biostatistics, big data, artificial intelligence, business, economics and finance, biological science, medical and medicine research etc. It has provided tools to accumulate, manage, analyze, and assimilate large volumes of disparate, structured, and unstructured data produced by current healthcare systems. The changes in medicine, technology, and financing that big data in healthcare promises, offer solutions that improve patient care and drive value in healthcare organizations. We believe that big healthcare data will revolutionize patient care. Big data helps us to explore and re-invent many areas not limited to education, health and law. Recent reports suggest that US healthcare system alone stored around a total of 150 exabytes of data in 2011 with the perspective to reach the yottabyte. The overarching goal is to identify health and disease parameters for the US population, elevate the health of the American public, effectively reduce office time for patients’ data collection, and provide completed, wrangled, and unbiased survey datasets for further clinical analysis. Mission and Scope. The immediacy of health care decisions requires … Registered in England & Wales No. The primary purpose of this paper is to provide an in-depth analysis in the area of Healthcare using the big data and analytics. Another area where healthcare data analytics shines is providing hospital administrators with information that allows for optimal physician scheduling. Globally, the big data analytics segment is expected to be worth more than $68.03 billion by 2024, driven largely by continued North American investments in electronic health records, practice management tools, and workforce management solutions. The main focus of this Special Issue will be on the proposal of methods and systems to process as well as extracting insights from medical health data. Health outcomes research: improving healthcare systems Elsevier Health Analytics analyzes the effectiveness of care and treatment options on big healthcare data using advanced matching algorithms to select comparison groups with equal risks that differ only in the variable of interest. – The current trend in Big Data analytics and in particular health information technology is toward building sophisticated models, methods and tools for business, operational and clinical intelligence. statistical, contextual, quantitative, predictive, cognitive, and other models, to drive fact-based decision making for planning, management, measurement, and learning in healthcare (Cortada et al.