
pmid: 27692075
AbstractBig 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.
Pressure Ulcer, Venous Thrombosis, Data Collection, Clinical Decision-Making, Patient Handoff, Documentation, Quality Improvement, Catheter-Related Infections, Perioperative Nursing, Urinary Tract Infections, Electronic Health Records, Humans, Delivery of Health Care
Pressure Ulcer, Venous Thrombosis, Data Collection, Clinical Decision-Making, Patient Handoff, Documentation, Quality Improvement, Catheter-Related Infections, Perioperative Nursing, Urinary Tract Infections, Electronic Health Records, Humans, Delivery of Health Care
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 13 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
