Research paper on big data in healthcare

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Race, Ethnicity, and Language Data: Standardization for Health Care Quality Improvement

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Bioinformatics, Big Data, and Cancer - National Cancer Institute

Big data has rapidly made its way into a wide range of industries and has changed the way we manage, analyze and leverage data in any industry. One of the most promising areas where it can be applied to make a change is healthcare. The healthcare sector is one of the largest and most complex industries. Healthcare analytics have the potential to reduce costs of treatment, predict outbreaks of epidemics, avoid preventable diseases and improve the quality of life in general. The application of big data analytics in healthcare has a lot of positive and also life-saving outcomes.
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Bioinformatics, Big Data, and Cancer

We use cookies essential for this site to function well. Please click "Accept" to help us improve its usefulness with additional cookies. Learn about our use of cookies, and collaboration with select social media and trusted analytics partners here Learn more about cookies, Opens in new tab. Most companies make a conscious and deliberate decision to embrace digitization and the information revolution. Yet the role of big data in medicine seems almost to compel organizations to become involved.
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Big data trends in biomedical and health research enable large-scale and multi-dimensional aggregation and analysis of heterogeneous data sources, which could ultimately result in preventive, diagnostic and therapeutic benefit. The methodological novelty and computational complexity of big data health research raises novel challenges for ethics review. In this study, we conducted a scoping review of the literature using five databases to identify and map the major challenges of health-related big data for Ethics Review Committees ERCs or analogous institutional review boards. A total of publications were initially identified, of which were included in the final synthesis after abstract and full-text screening performed independently by two researchers.
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