big data in healthcare-computer science


Healthcare big data refers to the vast quantities of data that is now available to healthcare providers. As a response to the digitization of healthcare information and the rise of value-based care, the industry has taken advantage of big data and analytics to make strategic business decisions.

Objective To describe the promise and potential of big data analytics in healthcare . Methods The paper describes the nascent field of big data analytics in healthcare , discusses the benefits, outlines an architectural framework and methodology, describes examples

Business intelligence and analytics: From big data to big impact.
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funded by the National Institutes of Health (NIH), the NSF BIGDATA program solicitation Another recent, major NSF initiative related to health big data analytics is the NSF Smart and scientific issues that would support a much-needed transformation of healthcare from reactive

The inevitable application of big data to health care
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THE AMOUNT OF DATA BEING DIGITALLY COLLECTED AND stored is vast and expanding rapidly. As a result, the science of data management and analysis is also advancing to enable organizations to convert this vast resource into information and

The big data revolution in healthcare : Accelerating value and innovation
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An era of open information in healthcare is now under way. We have already experienced a decade of progress in digitizing medical records, as pharmaceutical companies and other organizations aggregate years of research and development data in electronic databases [HTML]

Medical internet of things and big data in healthcare
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Objectives A number of technologies can reduce overall costs for the prevention or management of chronic illnesses. These include devices that constantly monitor health indicators, devices that auto-administer therapies, or devices that track real-time health data

Health -CPS: Healthcare cyber-physical system assisted by cloud and big data
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The advances in information technology have witnessed great progress on healthcare technologies in various domains nowadays. However, these new technologies have also made healthcare data not only much bigger but also much more difficult to handle and This paper provides an overview of recent developments in big data in the context of biomedical and health informatics. It outlines the key characteristics of big data and how medical and health informatics, translational bioinformatics, sensor informatics, and imaging

Big data in health care: using analytics to identify and manage high-risk and high-cost patients
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The US health care system is rapidly adopting electronic health records, which will dramatically increase the quantity of clinical data that are available electronically. Simultaneously, rapid progress has been made in clinical analytics techniques for

Big data in healthcare hype and hope
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Digitized information is ubiquitous, a digital flood creating puddles and lakes, creeks and torrents, of data : numbers, words, music, images, video. Most recently, the rapid growth in the use of mobile devices smart phones, laptops, tablets, personal sensors is generating With big data growth in biomedical and healthcare communities, accurate analysis of medical data benefits early disease detection, patient care, and community services. However, the analysis accuracy is reduced when the quality of medical data is incomplete

Bringing big data to personalized healthcare : a patient-centered framework
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Faced with unsustainable costs and enormous amounts of under-utilized data , health care needs more efficient practices, research, and tools to harness the full benefits of personal health and healthcare -related data . Imagine visiting your physicians office with a list of

Big data analytics in healthcare
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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

Big data and its technical challenges
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There have been persuasive cases made for the value of Big Data for healthcare (through home For example, consider the col- lection of electronic health records in a hospital, comprised of topics are crucial to success, and yet rarely mentioned in the same breath as Big Data

Trends in big data analytics
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The underlying socio-economic benefits of big – data analytics and the diversity of application characteristics pose significant challenges We conclude with a brief discussion of the diverse applications of data analytics, ranging from health and human welfare to

Big data analytics for healthcare
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Large amounts of heterogeneous medical data have become available in various healthcare organizations (payers, providers, pharmaceuticals). Those data could be an enabling resource for deriving insights for improving care delivery and reducing waste. The and distribution in Big Data environment is critical for achieving self-aware and self-learning machines. The importance of leveraging additional flexibility and capabilities offered by cloud computing is inevitable, but adapting prognostics and health management algorithms to

Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations
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To date, health care industry has not fully grasped the potential benefits to be gained from big data analytics. While the constantly growing body of academic research on big data analytics is mostly technology oriented, a better understanding of the strategic implications

Big data in biomedicine
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However, enabling this vision of true evidence-based healthcare based on big data analytics will require crucial investments for The collection and analysis of data available on health and disease promise to enhance the quality and efficacy of healthcare , and to

The big – data revolution in US health care: Accelerating value and innovation
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1 This estimate is based on a measure developed by McKinsey, estimated spending according to wealth, which is derived from a regression analysis of income and spending data from other countries in the Organisation of Economic Co-operation and Development. It [HTML]

Toward a literature-driven definition of big data in healthcare
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Objective. The aim of this study was to provide a definition of big data in healthcare . Methods. A systematic search of PubMed literature published until May 9, 2014, was conducted. We noted the number of statistical individuals and the number of variables for all





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