Journal ArticleDOI
Nursing Needs Big Data and Big Data Needs Nursing
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TLDR
Big data and data science has the potential to provide greater richness in understanding patient phenomena and in tailoring interventional strategies that are personalized to the patient.Abstract:
Purpose
Contemporary big data initiatives in health care will benefit from greater integration with nursing science and nursing practice; in turn, nursing science and nursing practice has much to gain from the data science initiatives. Big data arises secondary to scholarly inquiry (e.g., -omics) and everyday observations like cardiac flow sensors or Twitter feeds. Data science methods that are emerging ensure that these data be leveraged to improve patient care.
Organizing Construct
Big data encompasses data that exceed human comprehension, that exist at a volume unmanageable by standard computer systems, that arrive at a velocity not under the control of the investigator and possess a level of imprecision not found in traditional inquiry. Data science methods are emerging to manage and gain insights from big data.
Methods
The primary methods included investigation of emerging federal big data initiatives, and exploration of exemplars from nursing informatics research to benchmark where nursing is already poised to participate in the big data revolution. We provide observations and reflections on experiences in the emerging big data initiatives.
Conclusions
Existing approaches to large data set analysis provide a necessary but not sufficient foundation for nursing to participate in the big data revolution. Nursing's Social Policy Statement guides a principled, ethical perspective on big data and data science. There are implications for basic and advanced practice clinical nurses in practice, for the nurse scientist who collaborates with data scientists, and for the nurse data scientist.
Clinical Relevance
Big data and data science has the potential to provide greater richness in understanding patient phenomena and in tailoring interventional strategies that are personalized to the patient.read more
Citations
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Big Data’s Role in Precision Public Health
TL;DR: This review article aims to identify the precision public health use cases where big data has added value, identify classes of value that big data may bring, and outline the risks inherent in using big data in Precision public health efforts.
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Precision health: Advancing symptom and self-management science
Kathleen T. Hickey,Suzanne Bakken,Mary W. Byrne,Donald E. Bailey,George Demiris,Sharron L. Docherty,Susan G. Dorsey,Barbara J. Guthrie,Margaret M. Heitkemper,Cynthia S. Jacelon,Teresa J. Kelechi,Shirley M. Moore,Nancy S. Redeker,Cynthia L. Renn,Barbara Resnick,Angela Starkweather,Hilaire J. Thompson,Teresa M. Ward,Donna Jo McCloskey,Joan K. Austin,Patricia A. Grady +20 more
TL;DR: The Nursing Science Precision Health Model is presented and the integration of precision health concepts within the domains of symptom and self-management science as reflected in the National Institute of Nursing Research P30 Centers of Excellence and P20 Exploratory Centers is described.
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A Comprehensive Analysis of Healthcare Big Data Management, Analytics and Scientific Programming
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TL;DR: The proposed research work organizes and summarizes the existing published research work based on the research questions defined and keywords identified for the search process, which ultimately will help to use the study as evidence for treating patients and suggest medicines accordingly.
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Big data science: A literature review of nursing research exemplars.
Bonnie L. Westra,Martha Sylvia,Elizabeth Weinfurter,Lisiane Pruinelli,Jung In Park,Dianna Dodd,Gail M. Keenan,Patricia Senk,Rachel L. Richesson,Vicki Baukner,Christopher A. Cruz,Grace Gao,Luann Whittenburg,Connie W Delaney +13 more
TL;DR: There are needs to increase the visibility of big data and data science research conducted by nurse scientists, further examine the use of state of the science in data analytics, and continue to expand the availability and use of a variety of scientific, governmental, and industry data resources.
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Technology Informatics Guiding Education Reform - TIGER.
Ursula Hübner,Toria Shaw,Johannes Thye,Nicole Egbert,Heimar de Fátima Marin,Polun Chang,Siobhan O'Connor,Karen P. Day,Michelle Honey,Rachelle Blake,Evelyn J. S. Hovenga,Diane J. Skiba,Marion J. Ball +12 more
TL;DR: In this paper, the authors define and validate a framework of globally accepted core competency areas in health informatics and enrich this framework with exemplar information derived from local educational settings.
References
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Online Health Information Seeking Behaviors of Hispanics in New York City: A Community-Based Cross-Sectional Study
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