Big Data and Perioperative Nursing

Bonnie L. Westra, Jessica J. Peterson

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Big data are large volumes of digital data that can be collected from disparate sources and are challenging to analyze. These data are often described with the five “Vs”: volume, velocity, variety, veracity, and value. Perioperative nurses contribute to big data through documentation in the electronic health record during routine surgical care, and these data have implications for clinical decision making, administrative decisions, quality improvement, and big data science. This article explores methods to improve the quality of perioperative nursing data and provides examples of how these data can be combined with broader nursing data for quality improvement. We also discuss a national action plan for nursing knowledge and big data science and how perioperative nurses can engage in collaborative actions to transform health care. Standardized perioperative nursing data has the potential to affect care far beyond the original patient.

Original languageEnglish (US)
Pages (from-to)286-292
Number of pages7
JournalAORN journal
Volume104
Issue number4
DOIs
StatePublished - Oct 1 2016

Bibliographical note

Publisher Copyright:
© 2016 AORN, Inc

Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.

Keywords

  • big data
  • nursing informatics
  • nursing knowledge
  • perioperative nursing
  • quality care

Fingerprint Dive into the research topics of 'Big Data and Perioperative Nursing'. Together they form a unique fingerprint.

Cite this