Nursing Knowledge: Big Data Science-Implications for Nurse Leaders.

Nurs Adm Q

School of Nursing, University of Minnesota, Minneapolis (Dr Westra); School of Nursing, University of Minnesota, Minneapolis (Dr Clancy); Health Information Management Systems Society, Chicago, Illinois (Ms Sensmeier); School of Nursing, The University of Kansas, Lawrence, and Warren & Associates, LLC, Plattsmouth, Nebraska (Dr Warren); School of Nursing, University of Minnesota, Minneapolis (Dr Delaney); and Healthcare Executive and Board Member (Dr Weaver).

Published: December 2016

The integration of Big Data from electronic health records and other information systems within and across health care enterprises provides an opportunity to develop actionable predictive models that can increase the confidence of nursing leaders' decisions to improve patient outcomes and safety and control costs. As health care shifts to the community, mobile health applications add to the Big Data available. There is an evolving national action plan that includes nursing data in Big Data science, spearheaded by the University of Minnesota School of Nursing. For the past 3 years, diverse stakeholders from practice, industry, education, research, and professional organizations have collaborated through the "Nursing Knowledge: Big Data Science" conferences to create and act on recommendations for inclusion of nursing data, integrated with patient-generated, interprofessional, and contextual data. It is critical for nursing leaders to understand the value of Big Data science and the ways to standardize data and workflow processes to take advantage of newer cutting edge analytics to support analytic methods to control costs and improve patient quality and safety.

Download full-text PDF

Source
http://dx.doi.org/10.1097/NAQ.0000000000000130DOI Listing

Publication Analysis

Top Keywords

big data
24
data
10
knowledge big
8
health care
8
improve patient
8
control costs
8
nursing data
8
data science
8
nursing
6
big
6

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!