| Literature DB >> 29854189 |
Tamara G R Macieira1, Madison B Smith1, Nicolle Davis1, Yingwei Yao1, Diana J Wilkie1, Karen Dunn Lopez2, Gail Keenan1.
Abstract
Nursing care documentation in electronic health records (EHRs) with standardized nursing terminologies (SNTs) can facilitate nursing's participation in big data science that involves combining and analyzing multiple sources of data. Before merging SNTs data with other sources, it is important to understand how such data are being used and analyzed to support nursing practice. The main purpose of this systematic review was to identify studies using SNTs data, their aims and analytical methods. A two-phase systematic process resulted in inclusion and review of 35 publications. Aims of the studies ranged from describing most popular nursing diagnoses, outcomes, and interventions on a unit to predicting outcomes using multi-site data. Analytical techniques varied as well and included descriptive statistics, correlations, data mining, and predictive modeling. The review underscored the value of developing a deep understanding of the meaning and potential impact of nursing variables before merging with other sources of data.Mesh：
Year: 2018 PMID： 29854189 PMCID： PMC5977718
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN： 1559-4076