Titlebook: Big Data-Enabled Nursing; Education, Research Connie W. Delaney,Charlotte A. Weaver,Roy L. Simps Book 2017 Springer International Publishi

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1431-1917 xtualizes strategies for effective modern nursing practice.PHistorically, nursing, in all of its missions of research/scholarship, education and practice, has not had access to large patient databases. Nursing consequently adopted qualitative methodologies with small sample sizes, clinical trials an

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Book 2017consequently adopted qualitative methodologies with small sample sizes, clinical trials and lab research. Historically, large data methods were limited to traditional biostatical analyses. In the United States, large payer data has been amassed and structures/organizations have been created to welco

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https://doi.org/10.1007/978-3-030-54271-9ne in which providers are accountable for quality, performance, and satisfaction. How can healthcare utilize the sea of data collected to optimize care for quality, performance, and satisfaction? One answer is to harness the power of that data and to manage the ability to perform meaningful analyses

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https://doi.org/10.1007/978-3-642-00485-8ices or mobile phone applications, the amount of health data is increasing in size, but also in speed and in complexity. “Big data” provides new opportunities for nurse clinicians and researchers to improve patient health, health services and patient safety. Following this unprecedented amount and c

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C.B. Dissanayake,Rohana Chandrajithgenerating that data, the National Innovation Network (NIN) for the National Center for Interprofessional Practice and Education (hereafter the National Center). We describe the raison d’être, characteristics, and ecosystem of the NIN-NCDR. The need for rigorously produced, scientifically sound evid