Titlebook: Big Data, Big Challenges: A Healthcare Perspective; Background, Issues, Mowafa Househ,Andre W. Kushniruk,Elizabeth M. Bory Book 2019 Sprin

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Digital Circuitry and Interfacing,. While there is no doubt that a degree of composting can improve matters, machine learning, AI and true precision medicine requires high quality, semantically interoperable, structured and coded, curated data. Alongside these technical concerns we consider the potential impact on the data subject,

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Introduction: Analog Versus Digital,e continuously changing in each jurisdiction. With regard to prescriptions, the main challenge rests in estimating the exposure to medications for a given patient, both in terms of magnitude (dose), and duration. Second, not all medication data sources are equal, and before making sense of medicatio

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Introduction: Analog vs. Digital,a critical approach to the introduction of big data is not undertaken. The chapter builds on the previous chapter on governance outlining the primary responsibilities leaders must fulfill in respect to meeting the healthcare needs of their citizens and patients. The opportunities and challenges for

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Introduction: Analog Versus Digital, unprecedented challenges raised by big data. New digital geopolitics created by differences in data protection rules across national borders no longer represent the limits of data flows, and the consequences for global governance are significant. There is rising consensus that a digital ethics fram

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Big Data Challenges from a Nursing Perspective addressed. Both the availability of data sources to address questions of interest to nurses and reports of the application of data science methods by nurses are on the rise. Expanding the data science infrastructure available to nurses and improving the data science competencies of nurses in variou

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